Net Health® Analytics
Harnessing data for human health
Our specialized healthcare analytics software distills EHR data into predictive, actionable insights embedded into your workflow, so you can exceed every benchmark.
THOUGHT LEADERSHIP
The Expanding Role of Artificial Intelligence for Clinical and Operational Decision-Making
![[SupportingGraphics] Ebook-WoundCare-PredictiveAnalytics-2021_stacked Graphic](https://v2k8e7u2.rocketcdn.me/wp-content/uploads/2021/07/SupportingGraphics-Ebook-WoundCare-PredictiveAnalytics-2021_stacked-Graphic.png.webp "[SupportingGraphics] Ebook-WoundCare-PredictiveAnalytics-2021_stacked Graphic")
Our EHR software and predictive, actionable analytics serve medical specialties, including:
Wound Care
Therapy
Post-Acute
Built for big decisions.
Net Health is not only an EHR company. Our mission is to harness data for human health. We design predictive, actionable operational and clinical analytics to leverage the data in our specialty EHRs to provide insights that help healthcare providers improve decision-making and patient outcomes.
Our clinical analytics solutions are designed to support revenue optimization, expense optimization, patient safety, and care quality.
By 2023...
75%
of healthcare delivery organizations will invest in an AI capability.
20%
of all patient interactions will involve some form of AI enablement
Source:
Gartner, Gartner Says 50% of U.S. Healthcare Providers Will Invest in RPA in the Next Three Years, May 21, 2020
Gartner, The Need for AI Governance in Healthcare, July 12, 2019
Insight: EMR vs EHR - What is the difference?"
From Data to Healthcare Insights: A Net Health Series
Hear from modern healthcare innovation leaders, CMIOs, and CIO's
Why choose Net Health as your analytics partner?
Our analytics process includes:
- A full understanding of your organization’s business needs
- The ability to improve the quality of the data captured by tailoring the EHR to your organization
- Development of large detailed and secure data sets that ensure accurate and relevant predictive analytics
- An analytic process that provides significant value compared to other published analytics for healthcare
Choose the right analytics partner by asking the right questions. Is data analytics a core competency? Is there deep domain expertise in data science? Do you have capabilities beyond transactional and episodic reporting?
Source, LeadingAge CAST case study, “Improving Health Outcomes, Resident Experience and Quality through Data Analytics”
Can your EHR prescribe healthier operations?
FEATURED INSIGHT
The Expanding Role of Artificial Intelligence for Clinical and Operational Decision-Making
Learn more about our AI-powered EHR systems and our powerful database.
CMIO 2.0 – The Evolution of a Game-Changing Role in the Healthcare C-Suite
By Dr. Nathan Gause – Assistant Professor of Medicine/Orthopedic Surgeon at Univ. of Missouri Healthcare (Former CMIO at Great River Medical Center) Change brings challenges. Currently, one of the biggest ongoing changes in healthcare at all levels is the influx of data and the growth of interest in predictive analytics. Yet, the arduous task of […]
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3 Challenges and Trends Accompanying the Implementation of Digital Innovations in Healthcare Analytics
Recently, the healthcare community as a whole saw an explosion in the availability and accessibility of data. Whether you work at the C-level, in finance, IT, or as a clinician on the line, the prevalence of data has created plenty of opportunities, discussions, and challenges requiring attention. In a recent webinar entitled The Modern Healthcare […]
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How to Choose a Healthcare Analytics Provider: A Viable Checklist
An effective analytics provider promises to bring novel data sets and insights to the table, optimize workflows, build efficient processes, and deliver superior financial returns in evolving value-based payment models. The Challenge for Buyers The “analytics” is a complex, nebulous family of functionality and the marketing noise surrounding many applications these days can be extremely […]
Read MoreWhat would you do with more time and better data?
