Those who support the shift point to three principal benefits: assessments get done faster, clinicians gain richer data for treatment decisions, and measurements become more accurate. The tools driving this shift are primarily smartphone- and tablet-based applications that use cameras and machine learning to calculate wound dimensions, generate surface area estimates, and in some cases produce three-dimensional topography renderings without requiring physical contact with the wound.

Why It Matters

Chronic wounds are a significant and growing challenge across the U.S. healthcare system. According to a 2025 compendium published in Advances in Wound Care, chronic wounds affect approximately 10.5 million Medicare beneficiaries and cost the program an estimated $22.5 billion annually. For clinicians managing diabetic foot ulcers, venous leg ulcers, and pressure injuries, where serial measurement over weeks and months directly informs treatment decisions, the accuracy of each assessment carries real clinical and financial weight.

Manual measurement has long been the standard, but the evidence against its reliability is substantial. A 2017 study published in Wounds noted that prior research had documented a ruler measurement error rate of up to 44% and an inter-rater reliability error rate of up to 50%, meaning two trained clinicians assessing the same wound could arrive at substantially different conclusions. Those discrepancies have downstream consequences: inconsistent measurements can cloud treatment decisions, extend healing timelines, and complicate reimbursement documentation.

Digital measurement tools address this directly. A study published in Advances in Wound Care evaluated an AI-powered digital planimetry application across multiple mobile devices and found high reliability both within and between examiners, with intraclass correlation coefficients exceeding 0.99. Three-dimensional imaging platforms, reviewed in a 2025 scoping review in Wound Repair and Regeneration, offer volumetric analysis that two-dimensional methods cannot provide. That same review found that most 3D platforms demonstrated high reproducibility for surface area measurement, with intraclass correlation coefficients above 0.95, but only moderate accuracy for depth and volume, and that no study to date has yet integrated volumetric metrics into predictive healing models. This capability shows strong promise but is still being validated clinically.

The operational case is equally clear. The Net Health Source Report for Wound Care found that wound care professionals who support measurement technology most often cite two practical gains: the ability to assess wounds more quickly and access to richer data for treatment planning. For nurses managing high patient volumes, completing an accurate, documented measurement without physical contact with the wound reduces both workflow burden and cross-contamination risk. For administrators and clinical leaders, consistent measurement data creates a more reliable foundation for quality reporting, compliance, and reimbursement.

The growing acceptance of measurement technology reflects a broader shift in how wound care professionals relate to digital tools. According to the Net Health Source Report for Wound Care, more than 80% of wound care professionals expressed a positive outlook on the state of the industry, and the most common investment priorities for 2025 were service expansion, clinician training, and advanced analytics. Measurement technology supports all three.

Prepare for the Future

The shift toward technology-assisted wound measurement is not simply about adopting a new device. It requires clinical leaders to think carefully about how measurement data flows through the care environment and what infrastructure is needed to make that data useful.

The most immediate step is standardization. Organizations that introduce digital measurement without a consistent protocol often end up with fragmented data that is difficult to compare across visits, clinicians, or care sites. Establishing clear policies around when and how measurements are taken and ensuring that data enters the electronic health record in a structured format is foundational to realizing value from the investment.

Training on the specific tool matters, though clinics may find adoption smoother than expected. The Swerdlow et al. study published in Advances in Wound Care found that the application produced highly consistent wound area measurements across multiple device configurations, with intraclass correlation coefficients exceeding 0.99. These measurements were captured within the same clinical session under consistent conditions, supporting the finding that device type does not drive measurement variability when conditions are controlled. The practical implication is that clinics do not need to standardize on a single device model to achieve reliable results, which reduces a common barrier to adoption in settings where staff use different smartphones or tablets. Standardization protocols should also address image-capture conditions, including consistent lighting, camera distance, and wound positioning, as these variables affect measurement reproducibility across devices.

Leaders should also consider the regulatory environment. The Net Health Source Report for Wound Care identified changing reimbursement and compliance rules as a top concern heading into 2026, with respondents pointing specifically to new CMS skin substitute LCD rules, revised caregiver training service guidelines, and interoperability requirements tied to the pending 2026 Provider Access API. Accurate, timestamped, and integrated wound measurement data serves both clinical and compliance purposes, giving organizations a cleaner record when payer decisions are questioned.

Finally, organizations should evaluate whether their measurement workflows connect meaningfully to analytics platforms. The value of objective wound data grows when it can be aggregated across patients to identify patterns, benchmark outcomes, and surface cases where healing is stalling before a clinical crisis develops.

Connection to Net Health

WoundExpert, Net Health’s specialty-built clinical workflow for wound care, integrates with Tissue Analytics to support digital wound measurement and imaging within the clinical workflow. Across its specialty care platforms, Net Health has supported more than 205 million rehab therapy and wound care assessments, a dataset that underpins the predictive modeling and benchmarking tools clinicians use daily. For wound care programs working to move from subjective measurement to objective, integrated documentation, that combination of specialty clinical intelligence and analytics capacity points in the same direction the field is heading.

Why It Matters

A January 2026 Becker’s Healthcare survey, “Specialty Technology Faces a Higher Bar,” conducted with 100 finance and technology leaders at large healthcare organizations in partnership with Net Health, found that patient experience improvement ranked as the highest-weighted investment criterion when evaluating specialty clinical intelligence platforms, earning a weighted average score of 3.63 out of 5. Respondents included CIOs, clinical informatics managers, directors of medical informatics, chief medical informatics officers, and chief digital officers, among others. Patient experience outranked ease of integration with enterprise systems (3.56), revenue cycle performance (3.43), vendor support and reliability (3.26), clinical efficiency (3.10), and compliance and regulatory support (3.07).

Independent research has been building the same case for years. Research from the Deloitte Center for Health Solutions found that U.S. hospitals with “excellent” HCAHPS patient experience ratings carried an average net margin of 4.7%, nearly three times the 1.8% average seen at hospitals with “low” ratings. A 2023 peer-reviewed study by researchers at Texas State University, published in the journal Healthcare, analyzed U.S. hospital data and found that HCAHPS summary star ratings were significantly associated with net patient revenue per adjusted discharge. Taken together, the research suggests that what has historically been framed as a clinical quality measure functions equally well as a predictor of financial health.

For clinicians, the implications are direct. When organizations invest in technology that improves the patient experience, they are simultaneously investing in tools that make clinical work more accurate, less administratively burdensome, and more connected to outcomes. The survey reinforces that clinical priority: 58% of leaders pointed to patient engagement and outcomes as the single greatest area of opportunity for specialty technology innovation in outpatient and specialty care.

For hospital administrators and CFOs, the data reframes patient experience not as a soft metric but as a driver of measurable returns. The survey found that 58% of respondents expect to achieve ROI from specialty technology investments within one to two years. The top ROI measures cited were revenue growth (47%), financial savings (46%), compliance performance (46%), and staff productivity (46%). Patient experience improvement, in this framework, supports all of those outcomes rather than competing with them.

There is also an AI dimension to this story. When asked about native AI in specialty clinical workflows, 48% of survey respondents rated it as valuable or significantly beneficial for improving both clinical accuracy and financial resilience. On the question of which AI approach matters most, leaders leaned toward agentic AI: 33% said task-based automation delivers more value than generative or ambient AI capabilities (20%), while 47% said the two approaches are equally important.

Preparing for the Future

Health system leaders who want to act on this convergence need to start by aligning their investment criteria across clinical, operational, and financial stakeholders. The survey found that 48% of respondents cite difficulty aligning clinical and administrative priorities as a top challenge in adopting specialty technology. That misalignment is where promising investments stall before they can deliver.

Practically, alignment means bringing clinical leaders into technology procurement conversations earlier, and asking vendors to demonstrate how their platforms improve patient-facing outcomes alongside operational and revenue metrics. It also means evaluating AI capabilities not only as documentation tools but as embedded intelligence that can reduce errors, improve coding accuracy, and strengthen reimbursement performance.

Leaders should also account for the organizational readiness challenges the survey identified, including data privacy concerns (49%), resistance to change (43%), and lack of skilled personnel (43%). Technology that improves patient experience only delivers on its financial promise when clinicians trust it, administrators support it, and the organization has the governance infrastructure to sustain it.

The human experience of care is not in tension with financial sustainability. A growing body of evidence suggests it is one of its foundations.

Connection to Net Health

Net Health’s AI-native specialty platform is built on more than 30 years of specialty knowledge gathered across wound care, rehab therapy, and occupational health. That depth of knowledge is what makes the intelligence genuinely native to specialty care. By embedding that intelligence directly into clinical workflows, Net Health helps organizations return time and focus to clinicians so they can stay present with patients during the moments that matter most. When patient experience and financial performance converge, the specialty knowledge that drives better outcomes is the asset that connects them.

Why It Matters

The data makes the stakes clear. According to the Net Health Source Report for Wound Care (Q2 2025), conducted by Censuswide, close to 80% of wound care professionals say workforce pressure has had a significant or very significant impact on their organization over the past six months. Challenges attracting new staff, increased turnover, reduced morale, and reduced treatment quality rank among the top consequences. In rehab therapy, Net Health’s Q1 2025 Source Report for Rehab Therapy, also fielded by Censuswide, found that 63% of workers under 35 described staffing pressure as significant, with many directly linking it to high turnover and difficulty filling open positions.

In wound care, regulatory and compliance pressures and insufficient staffing rank as the leading causes. Nurses in particular point to excess documentation as their primary friction point, with more than four in 10 identifying paperwork overload as a leading driver of dissatisfaction. Research from the Agency for Healthcare Research and Quality confirms the scale of the problem, finding that between 19 and 35% of a nurse’s shift is spent on EHR documentation. In rehab therapy, staff in skilled nursing and assisted living facilities identify workflow management and billing tools as among the most effective interventions available to them.

The financial stakes are significant. According to the 2026 NSI National Health Care Retention & RN Staffing Report, published by NSI Nursing Solutions, replacing a single staff registered nurse costs an average of $60,090 across acute care hospitals, with the average hospital losing $5.19 million annually to RN turnover. The challenge extends well beyond nursing: the American Physical Therapy Association’s 2024 Benchmark Report found that roughly one in eight physical therapist and physical therapist assistant positions at outpatient practices are currently unfilled. Meanwhile, the National Council of State Boards of Nursing reports that more than 138,000 nurses left the workforce between 2022 and 2024.

Staff themselves are pointing toward solutions. In rehab therapy, telehealth and remote monitoring rank as the most frequently cited solutions for easing day-to-day strain, while wound care workers consistently identify smart documentation tools and AI-assisted decision support as their top priorities. When technology meaningfully reduces administrative burden across these settings, it becomes one of the most practical tools organizations have for improving the staff experience and a meaningful factor in retention.

Prepare for the Future

Technology is one lever among several. Competitive compensation, scheduling flexibility, and a supportive workplace culture remain equally important to building an environment where skilled clinicians choose to stay. When technology meaningfully reduces administrative burden, however, it becomes one of the most practical, scalable tools clinical administrators have for improving the staff experience.

Healthcare leaders looking to stabilize their workforce should prioritize tools that reduce documentation burden at the point of care, automate billing and compliance tasks, and give clinicians faster access to the information they need. In wound care, technology that enables faster and more accurate wound measurement gives clinicians better data for clinical decision-making.

Training and education matter just as much as technology. Net Health’s rehab therapy data shows that decision-makers and clinicians rank training and education as their top planned investment, ahead of hiring additional staff. Retention is as much about equipping people well as it is about headcount.

Generational dynamics also deserve attention. Workers under 35, including younger decision-makers and clinical staff, report among the highest levels of staffing strain and show the greatest enthusiasm for technology as a remedy. The rehab therapy data shows that workers in this age group are particularly open to AI-assisted tools, offering organizations a meaningful opportunity to build momentum around technology adoption.

The workforce pressures driving these conversations are not distant projections. They are here now. The National Council of State Boards of Nursing reports that nearly 40% of the nursing workforce plans to leave the profession by 2029. The Health Resources and Services Administration projects shortages across many key allied health occupations by 2038. The organizations building workforce stability today, through smarter technology, stronger training, and a genuine investment in the staff experience, will be far better positioned to meet both present and future demand.

Connection to Net Health

Net Health’s specialty EHR and analytics solutions are built for exactly this challenge. By embedding clinical documentation, billing support, and workflow management into purpose-built platforms for rehab therapy and wound care, Net Health quietly works in the background to reduce the administrative burden on clinicians and care teams. When providers spend less time on paperwork and more time with patients, the work becomes more sustainable, and the care becomes more human. That is the kind of investment that pays off in staff retention and long-term organizational health.

Why It Matters

Patient engagement has moved from aspiration to measurable priority. A January 2026 survey by Net Health and Becker’s Healthcare found that 58% of health system leaders identified patient engagement as the area of greatest innovation potential for specialty technology. The data reflect not just market demand, but a growing body of clinical evidence supporting what engaged, technology-enabled care can produce.

A June 2025 viewpoint published in JMIR by Paul et al. at Mayo Clinic reviewed the state of remote patient monitoring (RPM) for chronic disease management in the United States and reported that emerging evaluations show increasing acceptance among patients and healthcare providers, improved adherence to care plans, and clinical outcomes in line with in-person care. The same principle applies in specialty settings where rehabilitation, wound healing, and occupational rehabilitation unfold over weeks or months: the patient-clinician relationship between visits is where protocol adherence and outcomes are reinforced or lost.

Yet structural barriers remain. A December 2025 perspective paper published in JMIR by West et al., drawing on 37 in-depth interviews across six key stakeholder groups, identified persistent challenges to meaningful patient engagement in digital health, including: patients are rarely involved in early-stage product development, resulting in poor adoption; patient perspectives are consistently underrepresented because companies do not sufficiently recognize the value of patient insight; and trust in how personal health data is used remains a critical barrier. The paper found that patient engagement remains insufficiently embedded in digital health design and implementation across the technology ecosystem.

Prepare for the Future

The regulatory environment is accelerating this shift. The Centers for Medicare and Medicaid Services’ CY 2026 Physician Fee Schedule Final Rule, effective Jan. 1, 2026, introduced new remote therapeutic monitoring (RTM) codes — a distinct but complementary program to RPM, focused on therapy adherence and response rather than physiological data. These include CPT 98985 for musculoskeletal device supply monitoring over shorter intervals of two to 15 days, and CPT 98979 for treatment management requiring as few as 10 minutes of provider time per month. The changes lower eligibility thresholds, closing a reimbursement gap that previously excluded shorter-duration monitoring episodes entirely.

The clinical case for sustained patient-clinician continuity beyond the clinic is building. A December 2024 scoping review published in JMIR by Backman et al., analyzing 97 studies selected from a pool of 8,322, concluded that platform-based digital health interventions could help improve communication, coordination, and information sharing between clinicians and patients during care transitions, including hospital-to-home transitions. For specialty practices managing patients across post-acute, home-based, and outpatient phases, that continuity is where clinical gains are built or eroded.

Clinicians and administrators evaluating patient engagement tools should hold them to the same rigor applied to any clinical tool: patient-reported outcomes, protocol adherence rates, and satisfaction data are the metrics that distinguish tools adding clinical value from those adding workflow friction. Technology that is not co-designed with patients and care teams from the outset is less likely to earn the sustained engagement needed to influence outcomes.

Connection to Net Health

Net Health’s work is grounded in a simple conviction: healthtech is humantech. The highest purpose of technology is to give clinicians the time and focus to be fully present with their patients. Across rehab therapy, wound care, and occupational medicine, Net Health’s specialty-informed platform extends care between visits — connecting patients and clinicians from the clinical encounter to the home setting through digital tools that strengthen, not substitute, the patient-clinician relationship. The result is care that follows the patient: connected, accountable, and grounded in the specialty expertise and clinical confidence that better outcomes require.

A specialty EHR that operates in isolation does not just create inefficiency. It creates risk — and the people closest to the patient are the ones absorbing it.

Why It Matters

Fragmentation is one of healthcare’s most persistent technology problems. A January 2026 survey by Net Health and Becker’s Healthcare found that 40% of health system leaders identified integration with existing enterprise systems as a top barrier to specialty technology adoption. Those leaders are not describing a technical inconvenience. They are describing a structural gap that determines whether clinical context moves with the patient or gets left behind at the specialty department door.

A 2025 scoping review published in the Journal of Evaluation in Clinical Practice by Olakotan et al., analyzing 28 studies across clinical settings, noted that clinicians spend an estimated one-third to one-half of their workday interacting with EHR systems, with limited interoperability cited alongside poor usability and misaligned workflows as a core driver of that burden. The review found that difficulty finding health information exchange tools within existing clinical workflows led to inefficiencies, with clinicians spending additional time searching for information and deviating from their standard workflow, compounding the documentation load that already cuts into patient-facing time.

The problem deepens when specialty data remains walled off from the primary record. A January 2025 comprehensive review published in JMIR by Shen et al., examining 25 years of EHR research, noted that patient data is commonly dispersed across primary care and specialty platforms, and that linking those fragmented sources into a complete clinical picture is both challenging and essential for effective care management and research. For specialty practices, that fragmentation is not a data governance problem in the abstract. It is a daily clinical reality.

Prepare for the Future

The Office of the National Coordinator for Health Information Technology’s Cures Act Final Rule now requires health IT vendors — including specialty EHR developers — to share data openly and stop blocking the flow of patient information. For health system administrators evaluating or renewing specialty technology contracts, that means connectivity is no longer something to negotiate for. It is a baseline legal requirement, and any vendor that cannot meet it is not a viable option. Meeting that requirement, however, is not the same as solving the problem. The work ahead is building interoperability that actually functions in clinical practice.

A system that can technically transmit data is not the same as one that puts the right information in front of the right clinician at the right time. Real interoperability means a patient’s history is visible before the specialty visit, updates flow back to the primary care team after it, and clinicians spend less time hunting across systems — not more. A connection that only works in one direction is not integration. It is a one-way export that leaves the downstream clinician to piece together the rest.

When evaluating specialty technology, administrators should ask vendors to demonstrate that data flows both ways against the federal standard for shareable patient data, to show how the system handles referral context and post-visit updates, and to explain specifically how their platform reduces — rather than adds to — the navigation burden clinicians already carry.

Connection to Net Health

Net Health designs its specialty EHRs around a single principle: clinicians should be fully present with their patients, not managing the gaps between systems. Grounded in more than 30 years of deep specialty expertise, Net Health’s platforms across rehab therapy, wound care, long-term care, and occupational medicine are built to connect the care continuum seamlessly — enabling referral context, medication history, and care plan updates to follow the patient without manual re-entry at each care setting. For health systems working to modernize care delivery, interoperability is not a feature. It is what makes specialty data clinically useful at the moments that matter.

Why It Matters

Ask a rehab therapist what stands between them and better patient care, and the answer rarely involves clinical skill. It involves the chart.

According to Net Health’s Q1 2025 Source Report for Rehab Therapy — a survey of 200 U.S. rehab therapy professionals conducted in December 2024 — 80% of non-clinical rehab therapy workers reported being positive to very positive about the use of AI or ambient listening to support documentation. Even among clinicians, who have been far more cautious about AI broadly, just one-third remained neutral, with the majority expressing some degree of support.

That openness reflects a well-documented problem. A landmark study by Arndt et al., published in the Annals of Family Medicine, found that primary care physicians spend nearly two hours on EHR tasks for every hour of direct patient care. More recently, 2024 data from the American Medical Association found that 22.5% of physicians reported spending more than eight hours on EHR tasks outside normal work hours — up from 20.9% in 2023. For rehab therapists, whose work is inherently hands-on and session-intensive, splitting mental attention between a patient and a screen is not just inefficient. It erodes the human connection that makes therapy work.

Ambient AI tools address this strain directly. Rather than requiring clinicians to type or dictate notes after the fact, these systems passively capture clinician-patient conversations in real time and generate draft notes for review. The clinician stays present. The AI handles the transcription. What gets documented is the encounter — not a memory of it.

The clinical evidence is growing. A 2025 quality improvement study by Olson et al., published in JAMA Network Open, followed 263 physicians and advanced practice providers across six U.S. health systems and found that burnout dropped significantly — from 51.9% to 38.8% — after just 30 days using an ambient AI scribe. Cognitive load, after-hours documentation time, and the ability to give patients focused attention all improved meaningfully.

The impact at scale is equally striking. A follow-up analysis by Tierney et al., published in NEJM Catalyst, documented The Permanente Medical Group’s one-year rollout across more than 2.5 million patient encounters between October 2023 and December 2024. AI scribes produced an estimated 15,791 hours of documentation time savings — roughly 1,794 eight-hour workdays — compared with non-users. The clinician response was equally telling: in a survey of physicians who participated in The Permanente Medical Group study, 88% said the AI scribe had a positive impact on their interactions with patients during visits.

Prepare for the Future

For rehab therapy leaders, the data offers a clear signal — but also a caution. Ambient AI tools earn clinician buy-in precisely because they solve a problem clinicians feel every single day, without asking them to cede clinical judgment to an algorithm. The AI drafts; the clinician reviews, edits, and signs. That boundary matters, and leaders should be deliberate about reinforcing it in how these tools are introduced and governed.

Several practical steps can position organizations for successful adoption. First, involve frontline therapists early. Clinician skepticism about AI broadly does not extend to tools that visibly reduce their burden, but trust is built through transparency, not mandates. Pilot programs that let therapists experience the workflow before full deployment tend to yield stronger and more durable adoption. Second, establish clear documentation review protocols. Ambient AI notes require human oversight; building that expectation into standard workflow is not a limitation of the technology — it is a safeguard for patients and a protection for clinicians. Third, track outcomes that matter to the people using the tool: time saved per session, after-hours documentation volume, and self-reported burnout scores. These metrics connect technology investment to something clinicians actually care about.

The broader lesson for healthtech leaders is one that runs through nearly every successful AI implementation in clinical settings: technology alone is not enough. According to Net Health’s Rehab Therapy Source Report, staff adoption and training ranked as the top overall concern among rehab therapy professionals when considering AI in clinical workflows. That finding is a directive. The human side of implementation is not a footnote — it is the strategy.

Connection to Net Health

Net Health’s EHR and analytics solutions for rehab therapy are designed around the realities of clinical practice — where sessions are hands-on, documentation demands are high, and time with patients is the point. As ambient AI documentation tools move from novelty to standard of care, the ability to integrate them seamlessly into existing workflows will determine whether they deliver on their promise. Net Health’s commitment to understanding what rehab therapists actually experience — surfaced through research like the Net Health Rehab Therapy Source Report — positions the organization to help therapy practices make decisions that serve both clinical quality and the clinicians who deliver it.

Why It Matters

Wound care professionals rank both interdisciplinary care coordination and interoperability of systems among their top concerns, according to the Net Health Wound Care Source Report, Q2 2025. The pairing is telling. Effective wound management requires close collaboration across nursing, primary care, vascular surgery, podiatry, and nutrition. Technology failures in those relationships can result in coordination breakdowns at the patient’s expense.

The scale of the problem is significant. Chronic wounds affect approximately 6.5 million Americans annually, costing the U.S. healthcare system more than $25 billion each year, according to a 2025 compendium published in Advances in Wound Care via PubMed. A meaningful share of that cost is not due to a lack of effective treatments but to fragmented care delivery that occurs when a patient’s wound history, lab values, and medication list are siloed across noncommunicating systems.

Research from KLAS Research confirms the challenge. The 2025 EHR Interoperability Overview found that while data-sharing capabilities have steadily improved over 15 years, clinician satisfaction with external data integration has barely changed since 2018. Data is increasingly available but remains duplicative, inconsistently formatted, and poorly mapped, limiting its usefulness at the point of care and adding cognitive load to already stretched clinical teams.

The regulatory environment is accelerating urgency. As the U.S. Department of Health and Human Services reported in early 2026, nearly 500 million health records have been exchanged through the Trusted Exchange Framework and Common Agreement (TEFCA), up from roughly 10 million in January 2025. This is a sign that national interoperability infrastructure is finally gaining meaningful traction.

Prepare for the Future

For wound care leaders, preparation requires both strategic investment and operational discipline. The pending 2027 Provider Access API requirement under the CMS Interoperability and Prior Authorization Final Rule (CMS-0057-F) will demand faster, more complete data sharing between payers and providers. Early preparation is essential to meeting that deadline effectively.

Leaders should prioritize three areas. First, audit current documentation workflows to identify where data silos create compliance risk and revenue leakage. Incomplete records trigger claim denials, audit exposure, and documentation deficiencies that undermine reimbursement under increasingly stringent payer standards. Second, evaluate EHR and clinical tools for API readiness and compatibility with national frameworks like TEFCA. Third, invest in staff training, not just in new technology but also in how interoperable systems change care team dynamics and clinical decision-making.

A 2025 Wounds International review of AI in wound care emphasized that successful technology integration requires compatibility between AI tools and existing hospital information systems and EHR platforms. That foundation is essential for sophisticated clinical tools to deliver their full value.

The human dimension is central here. Technology that is workflow-aware, explainable, and easy to use builds clinician trust. The goal is to give wound care specialists better, faster, and more complete information so they can focus on the patient in front of them rather than on the platforms behind the scenes.

Connection to Net Health

Net Health’s wound care EHR and analytics solutions are built with interoperability as a design priority. By supporting real-time documentation, outcome tracking, and integration with broader care team workflows, Net Health helps organizations reduce compliance risk and demonstrate the outcomes-based value that modern reimbursement models demand. As regulatory expectations grow, having a technology partner that connects clinical data across care settings, rather than just within a single department, is becoming a meaningful differentiator. Net Health is designed to serve as that infrastructure layer, connecting the systems so clinicians can focus on patients.

Why It Matters

The shift is showing up clearly in the data. A January 2026 survey of 100 health system CIOs, clinical informatics managers, and other senior leaders conducted by Becker’s Healthcare and Net Health found that nearly half (47%) of organizations report established use of specialty technology platforms, and 43% are actively expanding their scope. Artificial intelligence is a significant driver of that expansion.

But the acceleration toward AI is running into real resistance. The same survey found that 49% of leaders cite data privacy and security concerns as a top challenge, 43% cite resistance to change, and 43% cite a lack of skilled personnel. Integration with existing enterprise systems was cited by 40%. Taken together, these findings reveal that the most persistent barriers to specialty tech adoption are organizational and human, rooted more in culture and capacity than in the technology itself.

That reality carries weight. The clinician who has to trust AI, use it, and ultimately be accountable for the decisions it informs is where adoption succeeds or stalls. Research published in the Journal of the American Medical Informatics Association reinforces this point: establishing trust in AI-based clinical decision support requires transparency, accountability, and design that centers on the clinician’s actual workflow.
ECRI, the global healthcare safety nonprofit, named insufficient governance of AI the second-highest patient safety concern for 2025, warning that medical errors generated by AI could compromise patient safety and lead to misdiagnoses and inappropriate treatment decisions. The message is direct: performance alone does not equal value. AI must earn its place at the point of care.

Prepare for the Future

For health system leaders, this moment calls for a deliberate, people-first approach to AI strategy. That work starts with moving governance from aspiration to daily operation. According to a survey of health system executives conducted by the Center for Connected Medicine at UPMC and KLAS Research, only 16% of health systems have a system-wide AI governance policy in place — a gap that leaves most organizations exposed. Forming multidisciplinary oversight committees, establishing clear validation and monitoring frameworks, and building feedback loops between clinical and operational teams are practical, achievable first steps.

Equally important is investing in change management alongside technology. The Becker’s Healthcare and Net Health survey found that 48% of leaders cite difficulty aligning clinical and administrative priorities as a top challenge. Staff training cannot be treated as a one-time onboarding event. It is an ongoing commitment to helping clinicians understand how AI works, when to trust its outputs, and when to question them.

The survey also found that leaders place greater value on agentic AI (33%) — the kind that handles task-based automation such as scheduling, coding, and workflow support — over generative AI alone (20%). That preference reflects practical wisdom. AI that removes friction from a clinician’s day is AI that gets adopted. When technology recedes into the background and allows the human relationship between clinician and patient to move to the foreground, that is what healthtech as humantech actually looks like.

Connection to Net Health

Net Health builds specialty EHR and analytics solutions with this balance in mind. Across rehab therapy, wound care, occupational health, and long-term care, its platforms are designed to work within existing clinical workflows rather than alongside them as separate tools. Net Health’s approach to embedded AI prioritizes documentation accuracy, compliance support, and operational efficiency — capabilities woven directly into daily workflows that give clinicians more time and cognitive space to focus on their patients. As health system leaders demand proof over promise, that commitment to workflow-aware, outcome-oriented technology reflects a clear belief: the best technology quietly empowers the people delivering care.

Why It Matters 

A January 2026 survey of 100 health system CIOs, clinical informatics managers, and chief medical officers, conducted by Becker’s Healthcare in partnership with Net Health, makes the current moment clear. Nearly half of respondents said that embedding AI into specialty EHR platforms is a meaningful benefit, and 43% of organizations are actively expanding the scope of their specialty technology adoption. That is not experimentation. That is a new baseline. 

What is shifting is which kind of AI leaders value most. When asked to compare generative AI and agentic AI, only 20% of respondents placed the greatest value on generative AI alone. A third ranked agentic AI higher, citing its ability to handle task-based automation such as scheduling, coding, and workflow support. Nearly half said both types are valuable. For specialty care settings, including rehab therapy, wound care, and occupational health, that distinction matters enormously. 

A physical therapist managing a high-volume caseload does not need AI that writes a better note after the fact. They need AI that anticipates the next step: flagging a patient whose functional scores suggest deterioration risk, prompting the right outcome measure at the right visit, or reducing the clicks between a clinical decision and the documentation that supports it. Agentic AI, when built into the workflow rather than bolted on top, does exactly that. Research published in Frontiers in Digital Health found that some agentic AI systems have reduced clinician cognitive workload by as much as 52% (Hinostroza Fuentes et al., 2025). That is time returned to the bedside, the exam table, and the treatment mat. 

Patient experience emerged as an equally strong signal in the Becker’s survey. Fifty-seven percent of leaders rated patient experience improvement as important or very important when evaluating specialty EHR investments, putting it on par with ease of enterprise integration. That framing reflects a broader truth: technology that does not reach the patient relationship has not finished its job. 

Prepare for the Future 

The Becker’s survey also surfaces the friction points that leaders need to address honestly. Forty-nine percent cite data privacy and security as a top adoption challenge. Forty-eight percent report difficulty aligning clinical and administrative priorities. And 43% point to resistance to change and skills gaps as barriers. 

These are not technology problems. They are organizational ones, and no AI platform resolves them on its own. 

Leaders preparing their specialty care environments for embedded AI should focus on three areas. First, governance before deployment. Establish clear policies on how AI recommendations are reviewed, audited, and acted on. Clinicians need to trust that the system has guardrails, not just capabilities. Second, alignment across teams. The Deloitte Center for Health Solutions’ 2026 U.S. Health Care Outlook found that over 80% of health care executives expect both agentic and generative AI to deliver moderate to significant value this year, but scaling beyond pilots requires clinical and operational leaders working from the same priorities (Deloitte, 2026). Third, change management as a clinical investment. Asking a wound care nurse or an occupational health clinician to adopt a new AI-assisted workflow without preparation is a shortcut that costs credibility. Training, feedback loops, and early wins matter. 

The organizations that will realize the greatest value are those that treat AI implementation as a people-centered process, not a technology deployment. 

Connection to Net Health 

Net Health builds EHR and analytics solutions specifically for rehab therapy, wound care, and occupational health, which puts it directly in the territory this survey describes. Its approach to embedded AI is designed to surface insights within the clinical workflows clinicians already use, rather than requiring them to seek out a separate tool. When 58% of survey respondents say patient engagement and outcomes represent the greatest potential for specialty tech innovation, that is the same outcome Net Health’s analytics are built to support: connecting clinical documentation to measurable patient progress in a way that is visible, actionable, and human. 

Truly, it seems that AI is being considered wherever accuracy, consistency, and efficiency gains can meaningfully improve care.

Why It Matters 

The 2025 Becker’s Healthcare/Net Health survey shows that 50 percent of leaders use AI for regulatory compliance, 47 percent for clinical decision-making, and 42 percent for patient engagement, highlighting that AI is increasingly being deployed for practical, high-impact tasks. These are core functions that influence patient safety, reimbursement accuracy, and clinician capacity.

National policy and industry guidance reinforce this shift. According to the U.S. Office of the National Coordinator for Health Information Technology (ONC), effective clinical decision support (CDS) depends on the availability of accurate, timely, and interoperable data, because CDS tools operate only as well as the information available to them. Meanwhile, AI documentation tools continue to grow in adoption as organizations face increasing reporting demands and clinician burnout. 

The Becker’s Healthcare/Net Health survey also revealed that leaders see immediate, human-centered benefits in documentation support. The most cited opportunities include improving patient-provider relationships (22 percent), improving accuracy (21 percent), and reducing administrative burden (20 percent). These findings reinforce that the value of AI is in its power to humanize healthcare. When AI improves clarity, reduces clerical work, and supports more reliable documentation, clinicians gain back time and attention they can reinvest directly into patient care. 

Prepare for the Future 

1. Establish strong internal governance: AI governance is becoming an expectation across the healthcare industry. Organizations with formal oversight, including clinicians, compliance leaders, IT, and operations, are better positioned to guide safe, effective AI adoption. Industry bodies such as HIMSS emphasize that governance, transparency, and workforce training are essential components of responsible AI, helping organizations manage risks like data quality issues, workflow disruption, and model misalignment. 

2. Prioritize interoperability and data readiness: ONC’s interoperability framework underscores that CDS and AI tools require access to high-quality, complete, and portable clinical data. Leaders should assess whether their systems and partners support FHIR standards, open APIs, and cross-platform data sharing because AI insights become more accurate and clinically relevant as data becomes more connected. 

3. Build AI around human-centered workflows: AI works best when it supports clinicians in real time without adding friction. Tools such as ambient documentation, real-time prompts embedded in therapy workflows, or clinical decision support can reduce cognitive load rather than add to it. Human-centered design helps ensure the technology serves as an assistant, supporting clinical judgment and strengthening the provider-patient connection. 

Connection to Net Health 

Net Health’s mission to humanize healthcare aligns directly with how leaders are using AI today. Net Health’s specialty EHR platforms and predictive analytics are designed to surface actionable insights and help teams manage compliance and quality demands with greater confidence.  

Leaders are explicitly favoring AI tools that connect data across the enterprise and provide real-time decision support at the point of care. 

Why It Matters 

We are witnessing the convergence of three forces: exploding volumes of clinical and operational data, mounting pressure to improve outcomes and efficiency, and the urgency of clinician workforce fatigue. In that context, AI that simply sits in a “pilot” silo is no longer sufficient. According to Becker’s, 90 percent of health-system executives now prioritize digital and AI tools to transform access, personalization, and operational forecasting. 

But AI’s value depends on interoperability and timeliness. A global KLAS Research report found that AI and analytics are top investment priorities for 2025 — but noted that “cybersecurity and interoperability are key to infrastructure upgrades.” Similarly, a BMC Digital Health study found that while 84 percent of leaders use AI-derived predictive models in practice, barely half have governance teams in place — highlighting the readiness gap.

In short, leaders know the promise of AI is real, but its delivery depends on it being connected and actionable. When data flows seamlessly and insights arrive in real time, the human side of care (clinicians, care teams, patients) can make better decisions, faster, and with more confidence. 

Prepare for the Future 

For those leading transformation in the health-system space, three strategies stand out: 

1. Embed interoperable architecture first. 

AI will only fulfill its promise if it sits on a foundation of shared data. Whether via FHIR-based exchanges, QHIN frameworks, or internal enterprise data hubs, interoperability is not optional. As one expert observed, “AI depends on access to high-quality data … companies struggle to implement innovations because they can’t access what they need.” 

2. Focus decision support on the real-time moment of care. 

AI should augment clinician decision-making in the moment — not deliver dashboards after the fact. Innovative clinical decision-support tools increasingly emphasize workflow integration, generative-AI capabilities, and unified platforms, according to Frost & Sullivan’s 2025 Frost Radar CDS report. 

3. Align with the human purpose of healthtech: “humantech.” 

Technology must strengthen — not replace — the human connection in care. That means governance, clinician involvement, and continuous training are as vital as the code. The shift is from “what can the machine do” to “how can the machine empower the human” in care. 

Connection to Net Health 

Net Health’s mission directly aligns with this emerging demand for interoperable, decision-supportive AI. The company’s specialty EHRs and predictive analytics solutions deliver actionable insights within clinician workflows, reducing documentation burden while improving patient engagement. Net Health helps caregivers make informed, timely decisions that keep the human connection at the center of care. The survey findings validate this approach: connecting systems, surfacing insights, and empowering clinical teams. 

Bionic limbs might sound like science fiction, but robotic exoskeletons are giving patients opportunities for rehabilitation that didn’t exist before. Whether the patient recently had a stroke or has lived with limited mobility for a lifetime, these adaptive therapies create new ways for patients to practice movement and feel supported while improving their mobility.

Why It Matters

Robotic exoskeletons use sensors, levels, motors, pneumatics, or hydraulics controlled by computers to adapt to the patient’s movements in real time. While currently cumbersome and expensive, they will soon create new opportunities for rehabilitative care and muscle training. The skeleton frame provides support for patients who cannot support their own body weight or control their muscle movements.

Using robotic exoskeletons offers benefits that a physical therapist or assistant alone cannot provide to patients. The support and mobility of equipment customized for the user are much better than those of general-use equipment or equipment for another person. Tapping into the intelligence of data and tracking the metrics exoskeletons collect during physical therapy is also helpful for monitoring progress and planning for future treatment.

While the technology is relatively new and continues to evolve, these are some of the ways robotic exoskeletons are making a difference for patients currently:

• Improving knee strength, walking speed, and quality of life in stroke patients with gait concerns
• Improving gaits in children with cerebral palsy by eliminating excessive bending in the knees or crouched gait
• Increasing walking speed and decreasing energy expenditure, which shows promise for supporting manual labor workers
• Translating the intent to move into actual movement in patients with traumatic brain or spinal cord injuries
• Offer additional support while ascending or descending stairs to those with unstable gaits
• Improve independence for patients who use wheelchairs by enabling them to stand or walk with support
• Being able to stand and engage in daily tasks for a quality-of-life-enhancing experience

From these examples, you can see that exoskeletons offer patients the opportunity to regain mobility, feel confident and supported when they move, and practice movement patterns in a safe environment. They have obvious physical benefits, but the psychological benefits are not to be overlooked. Patients may be able to return home sooner and need less intense physical therapy with the additional support of robotics.

With the revolution in AI and other big data processing systems, the data collected by robotic exoskeletons is now more helpful than ever. The ability to personalize the wearer’s experience will improve it, create more nuanced goals and outcomes, and support physical therapists in their regular practice. Collecting and analyzing data from these systems can pinpoint potential concerns, adjust in real time to problems with balance, gait, energy consumption, and speed, and create more comprehensive treatment plans for those who have experienced strokes, brain or spinal cord injuries, and genetic mutations.

Prepare for the Future

While robotic exoskeletons may currently be out of the budget for your physical therapy practice, the prices are slowly declining as the technology becomes more widely available. If you work with a facility that has access to this technology, learn more about it and how it can enhance your patients’ rehab experience.

Connection to Net Health

Another opportunity to use robotic exoskeletons is in occupational health. Many manufacturing and manual labor companies are starting to adopt this technology to provide better physical support for workers and reduce stress, fatigue, and injuries. An occupational health department will likely be responsible for determining which workers could benefit from this type of equipment and training them to use it correctly.

AI in wound care involves utilizing machine learning algorithms to evaluate wound characteristics, identify trends, and generate predictive insights. These systems detect subtle patterns in healing or deterioration that may not be visible to the human eye, especially signs of infection.

AI-powered wound imaging platforms combine computer vision with decades of wound care data to automatically classify, measure, and assess wounds. The result: clinicians get actionable insights, not just images.

Predictive modeling can also alert providers to the likelihood of wound complications, including infection or amputation, enabling earlier intervention.

Why Is It Important?

Infections are among the most serious complications in wound care. They delay healing and are a leading cause of avoidable hospitalizations, especially in diabetic patients. The Journal of Clinical Medicine reports that patients with diabetic foot infections (DFI) had a 3.002 times higher odds of hospital admission compared to those without foot complications and 55% longer hospital stays.

Even more concerning, DFIs can lead to amputations and increase provider workload. It’s not just diabetes-related infections — pressure ulcers, venous leg ulcers, and non-healing surgical sites are also often missed early, leading to a range of complications, like excess cost, poor outcomes, and diminished quality of life for patients.

AI is a tool to help bridge that gap. By identifying high-risk wounds days or even weeks before visual signs appear, predictive models empower clinicians to act proactively. These tools aren’t just about faster diagnosis; they’re about avoiding harm.

Prepare for the Future

The shift toward value-based care demands that providers reduce complications, prevent hospitalizations, and improve documentation. AI fits squarely into that vision. With infection prediction tools, providers can better track wound progress and flag deviations from expected healing trajectories.

As more payers tie reimbursement to quality outcomes, predictive tools help demonstrate proactive care and reduce adverse events. They also support faster assessments, stronger documentation, and better clinical decisions.

Connection to Net Health

Net Health’s portfolio of digital imaging solutions and predictive analytics helps wound care professionals identify and respond to infection risks early. Net Health Tissue Analytics platform uses AI and machine learning to segment, classify, and measure wounds — delivering clear, objective insights into which wounds may be at risk.

New research sheds light on how this impacts productivity, quality of life, and healthcare costs.

What Is It? A New Tool for Measuring Work-Life Impact

A recent pilot study from Germany, “Chronic Wounds and Employment: Assessing Occupation-Related Burden of Patients With Chronic Wounds — Results of a Pilot Study,” by Dorothee Ann-Kathrin Busch et al., and published in the International Wound Journal (April 2025), introduced the REACH Score — a new 17-point tool designed to measure how chronic wounds affect the work lives of employed patients under age 65. It’s the first tool to systematically capture what it’s like to work with a chronic wound. (Read the study here.)

Unlike many quality-of-life measures that focus on older adults or long-term care residents, this pilot study involved 51 patients under retirement age who were receiving care at specialized wound centers. Participants had various types of non-healing wounds and had been living and working with their wounds for at least eight weeks.

Patients answered detailed questions about job demands, physical conditions, time lost to wound care, and emotional burdens. Researchers then developed the REACH Score, which uses a 4-point Likert Scale (1 = minimal burden, 4 = severe burden), to assess overall occupational impact.

Why It Matters

We often view chronic wounds as primarily affecting older adults, but this study highlights that they also impact working-age patients. The findings shed light on a significant but under-recognized problem: wounds are costing younger patients productivity, stability, and peace of mind.

Roughly 70% of participants reported taking sick leave within the previous year. Many reduced their hours or missed work due to pain, dressing changes, or wound-related fatigue. Nearly 80% said their wound affected their leisure time, and 66% were worried about their career future.

Few current screening tools capture those realities. That’s why many clinicians view the REACH Score as promising, as it bridges that gap and introduces a new perspective on the burden of wounds for working adults that can help create better clinical care planning.

Prepare for the Future

The REACH Score is more than just a survey; it’s a wake-up call. Providers can’t afford to overlook the toll that chronic wounds take on working-age adults. To respond, clinicians and health systems should integrate occupational and lifestyle considerations into treatment plans, documentation, and follow-up.

Connection to Net Health

Specialty EHRs and digital wound platforms, like those from Net Health, can support this shift. With tools that help document and track wound care data and streamline workflows for image capture and dressing schedules, wound care teams can spend less time documenting and more time addressing real-world burdens.

While more research and development are needed, if tools like REACH become more common, the potential exists to embed that data into EHR systems to flag patients at risk for productivity loss, long-term sick leave, or occupational disability.

Wounds go beyond pain; they disrupt every facet of life. With technology and new data-driven tools, providers can better recognize, document, and respond to that burden.

We are on the cusp of making this possible with predictive analytics. Because of models trained on large data sets, artificial intelligence can make accurate predictions about outcomes and risk factors, enabling providers to be more targeted and personalized in their approach.

Why It Matters

Medical care has always been based on reacting to symptoms, handling complaints and discomforts, and intervening during adverse events. If instead, we could predict health outcomes and provide preventative treatment, it could revolutionize the way we approach, pay for, and design healthcare. This fundamental transition is being powered by predictive artificial intelligence data.

While this is still experimental, several studies have had positive outcomes and promise more innovation in the future. In one study, an EHR-based decision-making tool was used to determine which patients needed more intense post-acute care. By providing additional support to these high-risk patients, the providers reduced 30-day readmissions by one-third and 60-day readmissions by 37%.

Predictive analytics uses big data sets to identify trends and patterns that individual providers would be unable to process or pinpoint. Analyzing historical data provides the algorithm with insight into the likely future of any individual patient compared to large models of millions of incidents. These models can include anonymized data from a variety of sources, including EHRs, social media, wearables, and more, making them accurate and reliable.

Some of the ways predictive analytics will support physical therapists in the future are by identifying patients who are:

• At high risk for falls
• Susceptible to reinjury
• Unmotivated and need reminders
• Likely to experience setbacks in their recovery
• In need of social support
• Depressed or anxious
• Not making progress on current treatment plans and need additional services

Physical therapists work at a systemic level as well, where predictive analytics can help provide services to the right groups at the right time and direct efforts toward high-risk groups or those most likely to benefit from services. It can identify patients likely to suffer from chronic conditions and determine the most cost-effective ways to treat health conditions.

Predictive analytics is also a valuable source for data on patients likely to miss appointments, allowing office managers to send reminders or help arrange transportation. By tracking symptoms and diagnoses, analytics can help predict and prepare for a pandemic or endemic and where it is likely to occur.

Another important use for predictive analytics will be for billing. When the models are trained on enough Medicare data, they can predict accurate standard payments and healthcare affordability across large populations. In the same way that Amazon predicts what items a customer will want to purchase, healthcare predictive analytics will be able to predict what treatments a patient will likely need and deliver them efficiently. It can anticipate which patients should be treated with antibiotics or who will require emergency department visits.

With this in-depth information available to providers, they will be able to proactively address health concerns, develop healthy habits that address specific risk factors, and provide targeted treatments for those at risk of preventable disease or injury.

Prepare for the Future

Your EHRs are a wealth of information. Connecting your system to data processing gives your practice data points from millions of patients and experiences. You could never collect that data on your own, but with predictive analytics, you can benefit from data points collected across locations and time for accurate outcome analysis. Ensure that your EHR collects relevant data and is trained on large data sets for the best accuracy.

Connection to Net Health

Invest in a quality EHR system that incorporates learnings from large data sets. Your EHR can power decision-making for patient care, billing, intervention, and treatment planning on an individual and community basis.

It can be caused by various conditions, including Alzheimer’s disease (the most common cause of dementia, accounting for 60 to 80% of cases), vascular issues, Parkinson’s disease, and more.

And it’s affecting more people every year. A study published in Nature Medicine reports that adults over 55 have a 42% average lifetime risk of developing dementia, especially after age 75 and particularly for women and people of color.

In post-acute care settings like skilled nursing and long-term care, dementia is already part of everyday care. Residents with cognitive impairment often have additional medical needs and behavioral symptoms or require full assistance with daily living. That puts growing pressure on care teams, including nurses, CNAs, and rehabilitation therapists who need practical training and tools to respond effectively.

Legislators and industry are stepping up. According to McKnight’s Senior Living, the recently reintroduced bipartisan Accelerating Access to Dementia & Alzheimer’s Provider Training, or AADAPT, Act (HR 3747) would strengthen dementia-specific education across the healthcare workforce, from RNs to rehab techs. This legislation reflects a broader shift: policymakers, payers, and providers are increasingly recognizing that dementia care must be integrated into care planning and clinical workflows rather than being treated as an add-on.

Why It Matters

Caring for someone with dementia is complex. Patients and facility residents may struggle to communicate pain, experience behavioral changes, or face higher risks of falls and hospital readmissions. Early recognition and a person-centered approach are key, but not every provider feels equipped to respond.

Technology can support this work by enabling better care delivery. Systems that document functional changes, incorporate caregiver input, and prompt timely care plan updates help teams align with regulatory expectations and, more importantly, help meet the real needs of residents and families.

Prepare for the Future

As the U.S. population ages, the need for dementia care will rise. According to a June report from the U.S. Census Bureau, older adults outnumber children in 11 states and nearly half of U.S. counties. That means more residents in post-acute settings will be living with dementia, requiring more staff to care for them.

Yet providers are already grappling with staffing shortages, especially in rural areas. Preparing for the future means investing in people, systems, and processes that support long-term growth and success. Care teams need not only education, but also time-saving workflows, supportive leadership, and care models tailored to meet cognitive needs.

Connection to Net Health

To meet the demands of an aging population, facilities are adopting memory care units with calming environments, consistent staffing, and structured engagement programs. The use of remote monitoring tools to detect early signs of decline, such as changes in sleep or mobility patterns, is also increasing.

To make these approaches sustainable, care teams need systems that capture the full picture of a resident’s cognitive and functional status. Specialty solutions tailored for this population can help document individual goals, therapy interventions, and caregiver insights in a way that aligns with dementia-informed care.

No matter the setting, tackling dementia takes more than just understanding the condition. It requires tailored solutions and well-designed processes that turn clinical knowledge into meaningful support for residents, their families, and the caregivers who stand by them every day.

This innovative use of AI reduces the amount of time providers spend on paperwork and improves the relationship between patients and physicians, allowing them to spend visits focused on communication and problem-solving rather than documentation.

Why It Matters

Artificial intelligence is advancing quickly, creating opportunities to reduce the burden of workflows and uncover new efficiencies for healthcare providers. Physicians reported spending nearly two hours per day on documentation outside of office hours. Additionally, 58% of providers report that excessive bureaucratic tasks are causing burnout, and 37% attribute it to spending too many hours at work. Ambient clinical intelligence (ACI) has the potential to greatly reduce that time and capture more details through passively listening to natural conversations.

ACI technology listens to the interactions between physicians and patients and creates clinical documentation based on those interactions. Reducing documentation tasks to simply reviewing and approving the AI-generated note will save time for clinicians but also improve the patient-provider relationship. Ambient documentation allows physicians to spend more time listening rather than documenting, produce more thorough clinical notes, and enhance patient engagement during appointments.

The capabilities of AI are constantly improving, and as the model is trained on larger medical data sets, ambient AI will also be able to:

• Flag patients showing signs of depression or mental health concerns
• Extract social determinants of health from the conversation
• Use data from wearables to evaluate treatment options
• Remind patients about appointments, taking medication, or maintaining exercise regimens
• Identify social barriers and create referrals to other services such as meal delivery, home cleaning, transportation, and more
• Create billing documents that avoid errors
• Protect providers by accurately documenting all important factors and supporting informed treatment decisions

Ambient documentation will also transform the business practices of healthcare facilities. It can reduce overhead costs by avoiding billing errors. Streamlining both the paperwork and the actual practice of delivering services will make providers more efficient with their time, providing maximum profits for the facility. It also ensures that all paperwork is compliant with federal and insurance regulations and helps protect the provider legally.

The demand for physical therapists will continue to increase and place additional demands on the time of the working therapists in the field. Ambient documentation is one step closer toward releasing practitioners from the burden of documentation and returning most of their time to the patient relationships that initially drew them to the field. It will also increase patients’ confidence when they know their insurance will be billed correctly and their treatment plan is based on in-depth knowledge of their personal situation. Everyone in healthcare wins when artificial intelligence can manage tedious work and free up more time for patient care.

Prepare for the Future

Most EHR systems have the option to use ambient documentation. Consider what is built into the systems you already use to find time savings and ways to increase patient satisfaction. If you haven’t established an ambient documentation system, research which systems would work for your practice. Consider if you can configure the structure in which the notes are created and what data sets the models are trained on for learning language.

Connection to Net Health

Net Health has a strategic technology partnership with Tali, a leading AI assistant and ambient clinical documentation solution. The integration will revolutionize EHR documentation through AI technology by infusing Net Health EHR software with Tali’s voice-enabled AI assistant. Learn more.

What Is It?

Over the past decade, there have been a number of new technologies to ensure better efficiency and patient comfort in wound care assessment. Some examples of the innovations that help providers to assess wounds without painful biopsies include:

• Digital photography
• 3D modeling
• Optimal coherence tomography (OCT)
• Near-infrared spectroscopy (NIR)
• AI-powered wound care platforms

These technologies provide detailed insights into the information that helps wound care providers make better treatment decisions, including wound bed health and documentation of wound size and depth over time. Some technologies, like optical imaging and fluorescence, can reveal pathological changes in tissue, while thermography helps to detect temperature variations that can help to spot infection or inflammation.

Why It Matters

Non-invasive wound monitoring tools are crucial for several reasons. They help to:

• Reduce the risk of infection and discomfort associated with invasive procedures.
• Provide real-time data on wound healing, allowing for timely interventions and adjustments to treatment plans.
• Help to assure faster healing times and better patient outcomes.
• Ensure a patient-centric approach to care to better address their needs and concerns, especially as it relates to pain.

Additionally, these tools can help reduce healthcare costs by minimizing the need for frequent hospital visits and reducing the length of hospital stays.

Prepare for the Future

Want to make sure that you and your team are ready for the non-invasive assessment tools here, and coming? Staying updated with the latest research and advancements in non-invasive technologies will be crucial. Another vital step is to invest in ongoing training and education for your staff to ensure a smooth transition and effective utilization of new tools.

What can we expect in the future for non-invasive wound care technologies? In addition to ongoing enhancements to existing tech, OCT, which has primarily been used in ophthalmic procedures to date, is starting to gain traction. In wound care settings, it provides real-time images of the wound bed to help clinicians evaluate healing progress without the need for invasive procedures.

Currently, the technology is FDA 510(k) cleared for non‐invasive in vivo skin imaging. While there have been promising studies, more are needed to expand the practice further in clinical settings.

Connections to Net Health

Solutions like Net Health® Tissue Analytics, an industry-leading wound surveillance application that uses mobile state-of-the-art machine learning and computer vision algorithms, are also leading solutions in the field of non-invasive wound management.

AI-powered wound management systems use advanced algorithms to analyze images of wounds, providing objective data on size, depth, and tissue damage. This information helps clinicians make more informed decisions about treatment and track healing progress over time. AI tools can also predict potential complications, allowing for proactive interventions. These systems can integrate with electronic health records (EHR), like Net Health® WoundExpert, by ensuring that all patient data is centralized and easily accessible to healthcare providers.

Non-invasive tools for monitoring wound healing are transforming the field of wound care by providing detailed, real-time data and reducing the need for invasive procedures. These technologies, combined with AI-powered wound management systems and EHRs, have the power to increase patient outcomes and reduce healthcare costs.

Get more insights into wound care professionals’ perspectives on technology solutions, burnout, investments, and regulatory changes in the Net Health Source Report for Wound Care Q2 2025.

What Is It?

The Net Health Source Report for Wound Care, based on a Censuswide survey of 200 wound care professionals from community hospitals, hospital systems, IDNs, private practices, and skilled nursing facilities, offers a snapshot of optimism, innovation, as well as ongoing challenges.

• Wound care professionals are realistic, yet surprisingly optimistic. Over 80% of respondents view the state of the industry favorably, with 30% “very positive.”
• There are complex challenges ahead. Aging patient populations, care coordination gaps, and financial penalties lead the list of concerns for wound care teams.
• Workforce and skills development are clear investment priorities. Providers plan to expand services (44%), invest in advanced analytics (41%), and increase training initiatives (42%).
• Burnout continues to disrupt quality and retention. Burnout isn’t just a buzzword; it’s a daily reality. Nearly 80% of respondents say it’s affecting both quality and retention.
• Technology adoption is accelerating, especially among younger clinicians. They see AI, predictive analytics, and wound measurement tools as highly effective in reducing workload and improving decision-making.
• Regulatory changes are on everyone’s radar. Skin substitute LCD rules, caregiver training codes, and interoperability requirements are the issues keeping leadership and providers up at night.

Why It Matters

The report highlights notable shifts: while challenges remain, providers are embracing tools that support better efficiency and clinical decision-making.

Smart documentation, predictive analytics, and wound measurement technologies continue to grow in popularity. These solutions help address burnout, improve accuracy, and give clinicians more time with patients, which is critical with an aging patient population and a more uncertain regulatory environment.

Prepare for the Future

Providers and leadership are ready to meet industry challenges through technology, training, and a willingness to adapt. Respondents also believe that the adoption of integrated digital tools, which reduce administrative burden, is crucial. As more providers explore AI, ambient listening and wound measurement systems are also gaining in popularity.

And what about the all-important issue of reimbursement? While it remains a top concern, many professionals see opportunity in upcoming policy changes. The cautious optimism around regulatory shifts reflects a belief that, with implementation of the right policy changes, wound care can deliver better outcomes for everyone along the continuum.

Connection to Net Health

Across settings and roles, wound care providers are signaling a clear priority: adopt the right mix of technology and training to meet patient needs, safeguard staff well-being, and prepare for future demands. Whether through AI-powered tools, specialty EHR capabilities, or integrated wound measurement systems, the goal is the same: to streamline the work so clinicians can focus on care.

Download the full Net Health Source Report for Wound Care Q2 2025 to see all survey findings and insights.

What Is It?

In the Net Health Source Report for Q1 2025, we heard directly from 200 rehab therapy professionals working in outpatient clinics, hospitals, skilled nursing facilities, and assisted living communities.

Their insights give us a real-time look at what’s on their minds, what’s driving their decisions, and how they’re navigating a changing world. Conducted by Censuswide, the survey sheds light on how providers are feeling about their work, how they’re using (and reacting to) new technologies, and what pain points, like burnout and reimbursement, continue to shape the profession.

One key theme: while most respondents are optimistic about the future of rehab therapy, those on the front lines of care remain more cautious. That caution extends especially to emerging technologies and AI, with clear generational divides emerging in the data.

Why It Matters

Burnout is still a concern in the industry, especially for younger professionals. Nearly two-thirds (63%) of rehab therapy workers under 35 say it’s a significant issue, according to the report. The good news? Many respondents see technology as part of the solution if it’s implemented thoughtfully.

Among the most promising technologies is ambient listening — AI-powered documentation support that reduces administrative workload. While clinicians remain somewhat hesitant, many non-clinician rehab workers report strong support: 80% feel positive or very positive about ambient documentation’s role in their organization.

Reimbursement remains a concern, particularly for non-clinicians, 64% of whom say payer issues have had a significant or very significant impact on their work. Clinicians are somewhat less affected, but still feel the strain, particularly in response to complex programs like MIPS, which 57% view neutrally or negatively.

Despite these concerns, the survey shows that many decision-makers are channeling optimism into action by investing in training, hiring, and tools that improve both clinical and operational outcomes. Nearly a quarter say they’re increasing investment in data analytics to support those goals.

Prepare for the Future

The report reveals a generational shift in openness to AI and healthtech. Younger workers (18–35) are far more likely to be “very positive” about AI, with 30% expressing strong support and just 17% remaining neutral. Decision makers, however, have made up their minds: over three-quarters (76%) have a positive attitude about the use of AI, with just 13% neutral about its use.

This shift points to the need for thoughtful, targeted implementation strategies that align technology with clinical goals. AI isn’t a silver bullet, but when it reduces documentation burden and improves patient engagement, it’s a step forward in supporting both workforce and workflow.

Connection to Net Health

Rehab therapy settings are already embracing promising solutions like ambient listening. By helping teams document smarter and focus on care, technology can be a valuable partner in a profession that continues to adapt.

Learn more by downloading the full Net Health Source Report for Rehab Therapy Q1 2025.

A recent in-depth article in The Wall Street Journal highlights key findings in Americans’ evolving aging trends.

What Is It?

Older Americans are reshaping what it means to age. As life expectancy grows, so does the drive among many older adults to remain active, independent, and engaged — whether in their own homes, senior living communities, or another setting of their choice. They are embracing lifelong hobbies, pursuing physical activity, staying socially connected, and leveraging technology to maintain independence.

However, this evolution in aging comes with a range of issues. While longevity is increasing, so too is the prevalence of chronic illness. A Mayo Clinic study led by Dr. Andre Terzic found that Americans face a striking 12.4-year average gap between lifespan and health span — the years lived in good health. That means many are living longer but also managing conditions like diabetes, cancer, arthritis, back pain, and cardiovascular disease for more than a decade. For women and those facing socioeconomic challenges, those additional years often come with a greater burden of illness and fewer resources to manage it.

Why It Matters

This shifting reality carries profound implications for post-acute and senior care providers. Whether older adults choose to age in place or transition into senior living, they require tailored services that support their medical needs and evolving goals and lifestyles.

Facilities and home health providers alike must rethink care models. Age-appropriate physical therapy becomes essential, not only for recovery but for maintaining function and mobility. Nutrition, wellness programs, mental health, and chronic disease management must be integrated into daily care delivery.

Equally important is the ability to continuously monitor health metrics and intervene early. For administrators and clinicians, digital tools that provide real-time insights into a patient’s condition are no longer optional — they are critical to maintaining quality of life and ensuring timely care.

Prepare for the Future

To meet the needs of today’s older Americans, post-acute providers must invest in proactive, personalized care. This includes staff training to support wellness-centered models, developing multidisciplinary care plans, and empowering residents and patients to participate in their care.

Digital monitoring, remote health assessments, and data-informed decision-making will be central to meeting clinical and operational goals. Providers must also account for greater diversity in aging preferences. Some older adults may be tech-savvy and independent, while others require more hands-on, holistic support.

Connection to Net Health

Net Health technology platforms for senior living and post-acute care are designed to meet the complex, evolving needs of older adults and the clinicians who care for them.

From specialized EHRs and predictive analytics to patient engagement tools and interoperable data systems, our solutions empower providers to deliver data-based, responsive, personalized care.

Physical therapists who adapt to delivering excellent services in a home health structure will have reduced costs, happier patients, and flexible practices to support a wide range of people.

Why It Matters

In the United States, about 12 million patients receive healthcare at home each year. The effect is startling — recovering at home reduces hospital readmissions, mortality rates, hospital-acquired infections, and other complications. The medical community dipped its toes in the water of inpatient-level care at home in 2020 with the passage of the Acute Hospital Care at Home (AHCAH) initiative. The immediate need this addressed was removing patients from hospital beds needed for severe COVID-19 patient care. However, other benefits have become evident in the four years since it took effect. Healthcare IT News reports that in March, President Trump signed a continuing resolution extending COVID-19-era Centers for Medicare and Medicaid Services regulations that apply to telehealth and hospital-at-home care through September 30, 2025. 

With advanced analytics, AI, remote monitoring, and a highly connected populace, at-home care is easier than ever for patients and providers. Some research suggests that 30 to 40 percent of all care could shift to a home-based setting because of these interconnected systems. The most successfully treated conditions at home include heart disease, COPD, cancer, diabetes, and congestive heart failure. Some models include self-administered dialysis, keeping dementia patients in their homes longer with support services, and even receiving IV medication for pneumonia or infections. 

Technology is powering many of these services and making them more accessible. 

• Telemedicine allows patients to access consultation services. 
• Prescription delivery brings medication directly to patients. 
• Wearable technology enables constant monitoring.
• Meals can be delivered.
• Smart home devices only require voice activation. 
• Connected devices like phones or home speakers can remind patients to take medication or participate in therapy exercises. 

Of course, most patients prefer to return home quicker after a hospitalization and will choose to stay in their homes as they age. Technology has enabled these practices, so we’ve seen more benefits than increased satisfaction. Patients also experience:

• Fewer hospitality readmissions
• Lower treatment costs
• Fewer emergency department visits
• Improved management of chronic conditions
• Less anxiety and depression
• Improved ability to independently perform activities of daily living

Physical therapy services are also becoming part of this suite of services included as part of home health. Patients who receive physical therapy services at their homes report greater satisfaction with their care, have better attendance, and comply more closely with their treatment plans. One study of rehab therapy patients who had access to app-based physical therapy found that access to the service was associated with a 14% increase in workouts each week. 

Insurance providers are increasingly acknowledging these benefits as well. Medicare, Medicaid, and most private insurance companies include benefits for home-based physical therapy services. For patients who cannot drive, have compromised immune systems, or lack access to physical therapy services in their local area, using home-based or virtual services can lead to better outcomes. 

Prepare for the Future

Ensure you are properly equipped with the tools and technology to make this transition possible if you provide physical therapy services in a home setting. This can include secure virtual offices, medical supplies like portable blood pressure machines and sensors, and exercise equipment like foam rollers and elastic bands. 

Connection to Net Health

Our healthcare system is moving toward more value-based care models. In this structure, payers will focus more on delivering the best holistic care while saving money. Services offered in the home are more cost-effective than inpatient hospital or SNF stays. PTs and other providers will be asked to consider these alternative service methods to comply with changing regulations. 

What Is It?

Several forces are pushing AI forward in senior living and skilled nursing:

1. Regulatory Changes — Recent CMS updates continue to push facilities to prioritize quality care and outcomes. Highlights include a 4.2% Medicare Part A payment increase for SNFs, updates to the Patient-Driven Payment Model (PDPM), and changes to the SNF Value-Based Purchasing (VBP) Program, all of which put a bigger focus on workflow, documentation, and better approaches to reducing hospital readmissions.

• Emerging Research – A new study from Johns Hopkins Bloomberg School of Public Health highlights the growing gap between the services older adults need and what long-term care systems currently provide. Researchers emphasize the urgency of scaling up long-term care options to support aging in place, noting that proactive care planning and smarter resource allocation are essential. AI-powered tools, like predictive analytics and remote monitoring, are poised to play pivotal roles in identifying care needs earlier and helping seniors remain safely at home longer.

• Patient-Centric Technology — Students from the University of Pennsylvania earned the 2025 President’s Innovation Prize for developing an AI-powered system that uses privacy-first technology to monitor seniors’ well-being. Their system tracks falls, eating habits, and bathroom use without recording or streaming video, protecting privacy while giving caregivers valuable insights. Early pilots show that caregivers using this technology can see more residents per day while still delivering personalized care.

Why It Matters

AI is helping post-acute providers tackle big challenges, especially reducing hospital readmissions, which hit both patient outcomes and facility finances. Under the SNF VBP Program, facilities with higher-than-expected readmission rates face penalties, making early risk identification critical. Predictive analytics tools powered by AI and machine learning give teams the ability to catch problems earlier, plan smarter care, and improve performance.

Privacy is also a growing priority. New AI tools show it’s possible to monitor health and safety without sacrificing dignity, giving providers a way to balance technology and residents’ rights.

Prepare for the Future

AI is no longer optional; it’s essential for operational efficiency and better care. Leading post-acute facilities are already using AI to:

• Predict falls, rehospitalizations, and other risks
• Build better, data-driven care plans
• Improve documentation to meet compliance and reimbursement goals
• Train staff to use insights in daily care

Facilities that act now will be better positioned to meet regulatory demands and deliver stronger outcomes.

Connection to Net Health

Many of the innovations gaining attention in 2025, including real-time risk identification and smarter care planning, help post-acute organizations not just meet rising regulatory demands, but lead the way. These solutions help them proactively manage resident care, optimize reimbursement, and improve patient outcomes through smarter, data-driven decision-making.

Nanofibers are thin threads, thousands of times smaller than a human hair, made from materials like gelatin, chitosan, and other biocompatible substances. These fibers mimic the body’s natural healing structure, improving airflow, balancing moisture, and supporting cell growth. Still in its infancy, to date, just a few nanofiber-based dressings have been cleared or approved in Europe and the U.S. Many of the more promising “smart” nanofibers, those that release drugs in response to pH, light, or infection, are still being tested in animal models or are in early human trials.

Why It Matters

Non-healing wounds present a serious challenge for providers and healthcare systems. Chronic issues like diabetes, hospital-acquired pressure injuries (HAPIs), and infection can lead to severe complications, reduce quality of life, and negatively affect an organization’s quality scores and reimbursement.

Many clinicians view nanofiber dressings as a paradigm shift in wound care. They mark a transition from simply covering wounds to actively treating them. And with their precision and adaptability, they’re well-suited for advanced wound care and even targeted drug delivery.

Key benefits include:

• Promotes new tissue growth and supports blood vessel formation
• Delivers antimicrobial agents directly to the wound to help control infection
• Enables sustained, localized drug release for more targeted therapy
• Helps maintain optimal moisture levels to support healing

These properties are especially valuable in treating complex wounds, like burns, diabetic foot ulcers, and chronic wounds, where conventional dressings often fail to deliver meaningful improvement.

Prepare for the Future

The science behind nanofibers is advancing fast, and so are the possibilities for wound care. Here are a few of the innovations to watch as the field evolves.

• 3D fiber scaffolds that can better control how drugs are released and how the wound responds over time.
• Smart dressings that react to things like pH or light, releasing antibiotics or signaling infection when needed.
• Better manufacturing methods that make it easier to produce nanofiber dressings at scale so they’re ready for clinical use.
• Increasing regulatory momentum, with more clinical trials underway and a growing number of nanofiber-based therapies moving toward FDA approval.

Connection to Net Health 

As nanotechnology advances in wound care, healthcare providers will need digital tools that evolve alongside it. The ability to accurately document dressing characteristics — such as type, quantity, antimicrobial load, and frequency of changes — is becoming increasingly important, especially with next-generation products like nanofibers.

But documentation is just the beginning. Platforms that support robust reporting and analytics can help clinicians identify patterns, track healing progress, and surface best practices. As AI-driven imaging and predictive models become more common, these insights will play a critical role in guiding care decisions and improving outcomes.

To truly leverage emerging innovations, providers will need digital systems that can track, measure, and adapt to changing needs. As advanced therapies like nanotechnology become more common in wound care, that’s how you turn data into action and better outcomes for your organization and patients.

What is it?

While the first smart bandages appeared a decade ago, according to Science Daily a significant breakthrough in their design came from Tufts University when they expanded the concept to include drug delivery to promote faster healing as well as flexibility to ensure they were easier to use and wear.

“Bandages have changed little since the beginnings of medicine. We are simply applying modern technology to an ancient art in the hopes of improving outcomes for an intractable problem.” Sameer Sonkusale, Ph.D., professor of electrical and computer engineering at Tufts University’s School of Engineering.

The clinical value of these devices lies in their ability to provide real-time data on factors like moisture levels, temperature, and movement, which are critical in assessing the healing process and preventing complications. 

There’s not just one kind of smart bandage—examples include sensor-based ones that monitor wound conditions, drug-infused bandages that deliver medication directly to the wound, and electroactive bandages that use electrical stimulation to speed up healing.

Why is it Important?

The increasing popularity of these devices mirrors consumers’ demand for personalized and proactive healthcare solutions. Smart bandages mark a significant advancement in wound treatment, combining both monitoring and treatment in one platform. 

For instance, a patient recovering from surgery could wear a smart bandage that monitors the wound’s environment, alerting both the patient and the healthcare provider if conditions become unfavorable for healing. This immediate feedback loop can prompt faster interventions, such as adjusting the wound dressing or modifying the patient’s activity level, ultimately leading to improved recovery.

Prepare for the Future

To prepare for new products like smart bandages, wound care providers should focus on research, education, and training. Providers need to stay informed about the latest advancements and understand how these technologies can benefit their patients. Training is also essential to ensure proper use and integration into existing practices. Additionally, assessing outcomes through data collection and analysis will help demonstrate the effectiveness of these new products and support continuous improvement.

And remember to consider workflow: Does it take longer to utilize smart bandages than current methods? Do they require more changes or are they difficult to remove? Facilities and providers need to analyze this kind of information to determine the impact the emerging products will have on their practice. Analyzing outcomes data will also be crucial to achieving the benefits these innovative bandages provide.

Next Steps

What can you do to stay ahead? Start by reviewing respected journals, talking to colleagues who have experience, and paying attention to the buzz at wound care conferences to stay informed on the latest advancements. Check out the different kinds of bandages and consider which ones are best for your practice. 

Most importantly, get feedback from the people that matter most: your team and patients. Ask your colleagues if they find these smart bandages effective and beneficial for your wound care program. Then query patients, what do they think? What do they like or not like? Armed with insights from your most important audience, you can make better decisions about one of the latest wound care innovations.

In its 2024 US Healthcare Consumer Insights and Engagement Survey, PwC notes, “Consumers are increasingly seeking healthcare options that provide a better experience, higher quality of care, and greater value. As consumerism in healthcare continues to grow, organizations that successfully adapt to these changes will become leaders in the healthcare ecosystem.”

What is it?

What does consumerization look like and mean for wound care providers? It means things have changed. These days, patients are no longer passive recipients of care. Many are informed, engaged, and want information and insights so they can become more active partners and participants in healthcare decisions that affect their lives. 

They’ll ask for the services and experience they want and go elsewhere if it’s not received. That means, whether you’re in private practice or at a hospital or clinic, you need to be open to ideas, services, and programs that meet consumer demands.

Why it Matters

We’re already seeing changes happening in many practices. The consumerization of healthcare is driving providers to adopt new technologies, explore innovative therapies, and embrace a more holistic approach to patient care. 

“Ninety percent of surveyed healthcare provider executives and 100 percent of surveyed chief marketing officers identified healthcare consumerism as a top priority for their companies,” reports McKinsey & Company.

This shift means that patients expect more than just basic treatment; they want personalized experiences and seamless access to their medical information. But embracing consumerization is not just about keeping up with trends—it’s about transforming care delivery to better serve patients’ needs and preferences.

Prepare for the Future

By staying ahead of these key trends, the wound care industry can continue to innovate and thrive. Here are some programs and services to consider for your practice:

• Explore new services: Many patients appreciate options like telehealth consultations, personalized treatment plans, online access to medical records, and real-time progress tracking through patient portals.
• Examine when and where you provide services: Do you need more flexible scheduling options? Would a mobile clinic help you reach more patients where they are? Can you make house calls?
• Look at how you communicate with patients: Do you have a patient portal? Can patients connect with you online? Do they feel connected to you?
• Be open to new technologies: PwC’s consumer study notes that a growing number of consumers—including those over 65—are open to the use of generative artificial intelligence in healthcare.

Education and data transparency will also be crucial. Many patients want to be more informed; they want to understand what’s happening and what they can do. For patients who are cognitively challeged, their loved ones or caregivers want and need information. 

Next Steps

What can you do? Learn more about consumerism and its goals. Think of how it can benefit your patients and wound care program. It’s a change from traditional practice, but it offers real value. By embracing consumerization, providers can build relationships with their patients that foster trust, encourage engagement, and lead to better outcomes and quality of life.

Not long ago, these patients might have slipped through the cracks of the healthcare system. But today, they can receive critical care thanks to one of the most innovative trends our industry has seen over the last few years: mobile wound care clinics.

In a presentation given earlier this year and available in Wound Source, Dr. Haresh Kane, CEO of Kane Wound Care in New Jersey, explains the origins of mobile wound care: “… It’s a concept that was started in the early 2000s with this inherent need to provide bedside wound care, high-quality wound care, to patients who were, in essence, locked into their locations due to various constraints.”  

Mobile wound care can refer to a van or motor coach outfitted with the necessary tools and equipment that travels to various settings. It can also define private practice providers who are “mobile” and journey to where their services are needed. 

Why it Matters  

Mobile wound care has the potential to help a wide range of patient populations. One particularly challenging but crucial demographic is the unhoused. 

This group faces significant barriers to healthcare, including chronic non-healing wounds worsened by trauma, drug use, and poor hygiene due to unstable living conditions. Traditional healthcare services often fail to reach them, making mobile wound care a lifeline. 

Rural populations also struggle with accessing wound care. The distance to healthcare facilities, limited transportation options, and a shortage of providers can prevent people with chronic wounds from getting the consistent care they need. Mobile wound services have stepped up to address these gaps, delivering advanced wound care directly to patients’ homes. Long-term care and senior living facilities are also rapidly adopting mobile care models to meet residents’ needs. 

Prepare for 2025 

Mobile wound care is revolutionizing healthcare delivery, especially for patients in overlooked settings. The impact is even greater when digital wound care platforms integrate into these mobile services. These solutions make it easier to track progress, document care, and coordinate efforts among healthcare providers, helping to ensure that patients receive quality care wherever they are. 

To truly unlock mobile wound care’s full potential, we need to address ongoing challenges like sustainability, consistent follow-up care, and seamless integration into the broader healthcare system. With the right support and continued innovation, mobile wound care can become a foundational element of healthcare for underserved populations, ensuring that everyone, no matter their situation, has access to the care they need. 

Connection to Net Health 

Net Health has been a leader in the mobile wound care movement, providing technology solutions that empower providers. Through advanced Electronic Health Records (EHR) systems and Net Health^® Tissue Analytics, we enable providers to achieve the steps necessary for a successful mobile wound care program, including: 

• Accurate wound measurement – AI-powered apps can measure wound dimensions and depth using smartphone cameras. 
• Comprehensive documentation – These apps allow detailed documentation of wound care procedures, integrated directly into the EHR. 
• Progress tracking – Real-time monitoring of wound healing helps providers adjust treatment plans as needed. 
• Information sharing – Data can be easily shared with other healthcare team members, ensuring coordinated care. 
• Data-driven decisions – AI and EHR integrations give clinicians the tools they need to make informed treatment decisions. 

Mobile wound care will continue to grow as healthcare increasingly moves beyond the traditional hospital setting. According to Fortune Business Insights, the global wound care market is projected to reach over $2.9 billion by 2032, with mobile wound care technology playing a critical role in that growth. By investing in training, expanding digital health platforms, and building partnerships with local communities, providers can participate in this exciting trend, helping to make mobile wound care more accessible, effective, and resilient. 

Sources 
Mobile Wound Care: Understanding a Changing Paradigm 

What Is It?  

Over the past decade, the AI wound care market has grown significantly, with the market size projected to reach $16.4 billion by 2035. It’s no longer just an abstract technology concept; soon, virtually every wound care provider in the nation will be using AI in some capacity. 

Why It Matters 

As a wound care provider, think of the things you must do daily; the things that take time, can cause administrative headaches, and take you away from hands-on patient care. AI-powered wound care solutions matter because they are designed to handle those tasks and more, including staffing, scheduling, workflow, and marketing. Beyond this, AI can also automate supply orders, handle pre-certifications, and ensure appropriate billing. 

AI has multiple applications for wound care, including: 

1. Clinical Decision-Making: AI analyzes large datasets to identify trends and predict outcomes, allowing for more precise treatment plans. For instance, it can track wound healing progress to detect subtle changes and ensure timely interventions. 
2. Demand Forecasting: AI quickly analyzes data to predict patient volume or the number of visits needed for effective results. 
3. Reducing Cancellations: AI identifies patients likely to miss appointments by analyzing socioeconomic factors and visit patterns, allowing for timely reminders and scheduling adjustments. 
4. Optimized Employee Scheduling: Predictive analytics match patient needs with staff skills, ensuring efficient scheduling and care delivery. 

Because of all the efficiencies it brings, AI is also predicted to help manage costs. According to McKinsey, “broader adoption of AI could lead to savings between 5% and 10% in healthcare spending, or roughly $200 billion to $360 billion a year.”  

Prepare for 2025 

While there are tremendous opportunities for optimizing the benefits of AI today, more is on the horizon. For example, providers will soon be able to enhance face-to-face interactions by using ambient conversation capture to document patient visits and give providers more time with patients. What can you do to prepare for what’s on the horizon? A lot, starting with educating yourself about what AI is, how it works, and the concerns that must be addressed. Read journals, talk to colleagues at facilities who are already using AI, and reach out to your vendor partners. Consider tapping a colleague comfortable with technology to become your AI mentor. If you have an in-house technology team, make sure to get their feedback and insights.  

Connection to Net Health 

Net Health is one of the first wound care technology firms to embrace AI. Net Health® Tissue Analytics is powered by AI and is one of the more widely used advanced wound assessment platforms. It incorporates Net Health’s wound care database, one of the largest in the world, with sophisticated algorithms and imaging technologies to evaluate wound characteristics accurately. Through the analysis and data provided, clinicians capture wound images, automatically measure wound dimensions, and assess tissue composition.  

There are still issues to tackle. There are legitimate concerns about AI that must be addressed. However, the promise far outweighs the peril. Ultimately, AI will enhance patient care by providing timely, accurate insights and interventions, making it a valuable tool for the future of wound care. By reducing the burden on healthcare providers and improving patient outcomes, AI represents a significant advancement in the field of wound care. 

Sources 
Roots Analysis: AI in the Wound Care Market 

With an opioid crisis sweeping the nation and insurance scrutiny increasing, physical therapists need a new perspective on pain and what it means to reduce pain.

Why It Matters 

In response to the National Institutes of Health Federal Pain Research Strategy’s call for new pain management models for physical therapy, the Pain Recovery and Integrative Systems Model (PRISM) was introduced in 2023. The authors describe this new approach as “a salutogenic, integrative, process-based cognitive-behavioral model to guide physical therapists in managing the multidimensional nature of pain.” Until now, the biopsychosocial (BPS) model has been the primary way to understand a patient’s pain, but it lacks direction specifically for clinical decision-making for physical therapists. It also often under- or over-emphasizes specific factors that influence how a patient feels and responds to pain. However, it is important to note that the PRISM model may also have limitations, such as the need for extensive training and potential challenges in implementation in certain healthcare settings.  

The Academy of Orthopedic Physical Therapy (AOPT) favors this new model because it acknowledges that pain is multi-dimensional and can be influenced by past experiences, biological factors, psychological and social situations, and lifestyle constructs. PRISM is a holistic approach to understanding and treating pain where the goal is to lessen reliance on medication that has led to an opioid crisis in many areas of the country. Physical therapists frequently treat patients with chronic pain, and the expectation that the pain will be eliminated is unrealistic and creates dissatisfaction and a lack of follow-through with physical therapy programs that can make improvements in their quality of life. A new approach is needed to recenter expectations and redefine how to live with chronic pain.  

As stated in the definition, there are three main areas of focus for the PRISM model: 

• Salutogenic. This is the belief that people have the innate ability to create and maintain wellness, even in the face of adversity. Health is not a binary thing but a continuum in which people are always moving between extremes of health and the absence of health. More than just pathology is at play here. Coping mechanisms also play a large part in the patient’s health and well-being. Even those experiencing pain can be healthy by being trained to see themselves and the world around them as manageable and meaningful.  

• Integrative. Pain is multidimensional and can be affected by physical, social, and psychological factors. Providers will need to assess patients’ physical symptoms and willingness and motivation to change. Participation in therapy depends on this mindset and the patient’s outlook on possible change and improvement. Motivation and outlook wax and wane, and harnessing the power of mindset makes a defining difference in pain management outcomes.  

• Process-based cognitive-behavioral. Pain recovery and healing are journeys with no defined endpoint. The goal is to equip patients with the tools and techniques they need to be active, empowered participants in their recovery. This may include physical movement exercises, cognitive behavior therapy, relaxation or meditation, or lifestyle changes.  

This is a significant shift from past treatment plans where a specific injury receives a particular treatment for a set time. Instead, this person-centered approach opens the possibilities for treatment beyond traditional physical therapy and pain medication. Therapists will need to view pain as a lived experience that is unique to every individual. Instead of following a regimented plan, the therapist and patient are a team that sets goals, develops a sense of curiosity about the pain, seeks alternative solutions, and defines success on a personal level. Rather than aiming to return a body part to pre-injury status, the goal is to reduce pain sensations, learn methods for managing pain without professional intervention, and develop a set of effective techniques for the individual.  

Whole-person approaches such as PRISM will reduce medical expenses, decrease reliance on pain medication, and improve emotional well-being and self-efficacy during and after treatment. Those with chronic pain need an alternative such as this to continue to live healthy lives where they can cope with obstacles, whether they are physical, psychological, or social.  

Prepare for 2025 

Learn more about the PRISM model and how to incorporate these holistic methods into your practice with chronic pain patients. Additional training may be necessary to expand the scope of what your practice offers and can include alternative therapies such as CBT or relaxation methods.  

Connection to Net Health  

We are in the midst of a transition to value-based care, and in that model, physical therapists will be required to collaborate with a wide variety of healthcare providers to prove that their interventions are effective and cost-conscious. As you work toward this new model, adopting a corresponding new perspective on treating chronic pain will improve outcomes and reduce the costs of prescription pain medication.  

Physical therapists will have more providers to choose from and cost-effective options for bringing this technology to their own practices.

Why it Matters 

Markered motion capture technology has been a standard method for collecting accurate data about body movement in physical therapy, sports medicine, and radiology. Physicians use reflectors, light diodes, or infrared markers on key anatomical landmarks. Cameras track these markers to collect data about the mechanics of movement. They can sense muscle activation, body structure, joint integrity, and gait concerns.  

The quality of data collected from motion capture technology greatly improves physical therapy treatment planning, evaluation, and decision-making. However, traditional marker use is time-consuming and expensive, can only be done in specific therapeutic settings, and can lead to unnatural movements that produce inaccurate information. New markerless methods are creating new efficiencies and data integrity for physical therapists. Machine learning and visual computing systems are revolutionizing how movement can be captured and evaluated.  

The same technology that powers surveillance and VR gaming systems can also capture data about muscles, joints, and bones. This technology has rapidly advanced thanks to AI and machine learning. Recent studies indicate markerless systems are as effective at capturing accurate data as suits or elaborate marker systems. Other advantages include portability, decreased cost, and quicker testing and results when patients do not need to wear sensors. 

Some of the systems now available for markerless motion capture (MMC) technology include: 

• Single-camera 3D systems. Portable and affordable options for many practices.  
• Multiple-camera systems. While extremely accurate, these systems require setup, calibration, and a significant monetary and space investment.  
• Video playback. Video can be captured on a cell phone, but the therapist must evaluate and measure the images.  
• Microsoft Kinect. With MMCs, this technology uses thousands of data points to evaluate movement and process the information to measure balance, range of motion, and posture.  
• 4D capture. The fourth dimension is capturing differences over time. The technology tracks changes and improvements throughout therapy by comparing sessions over the course of treatment.  

Physical therapists know how essential it is to be able to evaluate the movement patterns of patients accurately. The gold standard for this process has been time — and labor-intensive motion capture via markers. The new technology will provide benefits to both the therapist and the patient: 

• Eliminating markers and an extensive setup process makes the evaluation much more comfortable for patients, particularly those with mobility issues.  
• There is already a labor shortage in physical therapy and a high demand for services. Quick and efficient markerless technology decreases the time it takes to perform a thorough evaluation, and machine learning makes data processing fast and accurate.  
• Markers and movement suits can be cumbersome and limit movements, leading to inaccurate results. 
• Detailed data and analysis can empower better and more personalized treatment plans.   
• The portability of these systems means this powerful data will be accessible to more physical therapy practices and patients.  
• Eliminating the placement of dozens or hundreds of markers reduces the chance of errors and inaccurate data collection.  

Prepare for 2025 

Evaluate what motion capture technology you currently use and where upgrades can save you time and provide a better experience for your patients. Many companies now produce MMC technology and can train your staff to use the system expertly and efficiently to improve monitoring and personalize treatment plans.  

Connection to Net Health 

MMC is the perfect complement to your advanced EHR. With integrations, send data directly to your internal system and tap into machine learning and analytics to synthesize information from every source. This will support your treatment planning and make personalization easier than ever before.  

Sources 
Markerless motion capture estimates of lower extremity kinematics and kinetics are comparable to marker-based across 8 movements 

Artificial Intelligence is a buzzword in every industry in 2025, particularly for medical providers. Uses are rapidly evolving as the technology learns from expanded applications. AI can process large quantities of data quickly and cross-reference a set of data with what it has learned. This processing speed can benefit physical therapists and patients as the technology examines images and medical history to accurately predict healing, risk factors, root causes, and treatment plans. Rather than relying on one provider’s knowledge and experience, it can synthesize massive amounts of data to compare the patient to millions of other data points. This improves the accuracy of diagnosis and develops a more accurate treatment plan.  

Why it matters 

AI will continue to refine its suggestions for better, more effective treatment by adding data to the technology through documentation and measurement. Instead of following prescribed physical therapy programs, AI can help providers develop personalized treatment plans that consider a patient’s age, mobility, health history, and potential areas of concern. Customized plans will evolve as more information is gathered and the patient progresses through treatment and makes improvements. It can notice patterns, monitor trends, and predict needs quickly. Allowing AI to constantly iterate treatment plans in response to a patient’s progress leads to faster recovery times and more provider availability. This is particularly essential in rural or high-cost-of-living areas experiencing PT shortages.  

An additional layer of support AI can offer is monitoring sessions with patients. AI can measure and track even minute changes in mobility, pain, angles, posture, and balance. Employing wearable technology or motion capture technology during physical therapy improves the experience and the accuracy of documentation and future planning. AI and robotic coaches can fill gaps in support for patients during therapy. It can interact with patients, keeping them on track between appointments by reminding them to practice exercises and correcting unhelpful movement patterns.¹ 

AI also supports clinicians by completing paperwork, tracking documentation, and catching billing errors. Using AI to support clerical work will save the practice time and money. Integrated electronic medical records can proactively understand payer regulations and ensure compliance by alerting practices to errors. In a 2023 APTA study, three-quarters of providers reported that prior authorization requirements delayed treatment by more than 25%. Ten percent of claims are denied the first time they are processed, and most respondents report spending more than 30 minutes on each of these claims.² Using AI to screen documentation for errors before submission will save time and money for all physical therapy practices.  

While embracing AI to streamline administrative tasks and improve treatment is exciting, we can’t ignore that many people are still wary of this new technology, and it can pose privacy risks if not used correctly. When implementing AI technology into your practice, understand what it can and cannot do accurately. Carefully select your technology provider by screening their security, backup methods, and privacy regulations. Medical providers have access to large amounts of personal data and are responsible for protecting it, even if they use AI to support treatment and billing.  

Prepare for the future 

Be open to embracing the right AI technology for your practice. Identify areas where big data sets and natural language models will save time and make you more effective. Research the possibilities for AI to transform your billing systems and treatment planning.