• Skip to primary navigation
  • Skip to main content
  • Skip to footer

Net Health

Purpose-built EMR Software + Solutions for Outpatient Care

EHR Solutions

Software and Services

Therapy
  • Software
    • Clinics
    • Hospitals – Acute
    • Hospitals – Outpatient
    • Skilled Nursing & Senior Living
    • Patient Engagement Suite
  • Analytics
    • FOTO® Patient Outcomes
    • Post-Acute Analytics
    • PointRight® for Accountable Care Organizations
Wound Care
  • Software
    • Hospitals – Inpatient
    • Hospitals – Outpatient
    • Post-Acute & Private Practice
    • Tissue Analytics
    • Clinical Research
    • Patient Engagement Suite
  • Analytics
    • Clinical Analytics for Wound Care
Occupational Health
  • Software
    • Employee Health
    • Occupational Medicine
Home Health & Hospice
  • Software
    • Home Health and Hospice
    • Patient Engagement Suite
Analytics
  • Wound Care
    • Data Solutions
    • Clinical Analytics for Wound Care
  • Therapy
    • FOTO® Patient Outcomes
  • Post-Acute
    • Post-Acute Analytics
    • Skilled Nursing Facilities
    • PointRight® for Accountable Care Organizations
Analytics
Resource Hub

About

Net Health Resources Page, white paper, blue image

Net Health Employee Resource Groups (ERGs): A Work Culture Gem

Employee Resource Groups (ERGs) are considered a key element of a company’s culture. As a matter of fact, it’s these groups that foster inclusion in the workplace.1 At Net Health, this role continues to evolve with the creation of more ERGs every year. Currently, we have 8 ERGs with a new one that just launched. […]

Read More

Net Health CEO Josh Pickus Profiled in Health Tech Industry Pub HIStalk

Stressed Importance of Interoperability and Meeting Unique Needs of Specialty Providers Highlighting the importance of interoperability, understanding the workflow needs of providers and predictive analytics, Net Health CEO Josh Pickus recently shared insights into the industry and company with HIStalk. The online publication is one of the more well-respected healthcare tech media outlets and frequently […]

Read More

About Net Health

Company
Leadership
Partners
Careers
Press Releases

Contact

We'd Love to Talk

Contact Client Support

Inquiry Form

Education and Support

Net Health University

Login

Net Health Communities

Login

Login

EMR Software

Home Health & Hospice

Login

Hospice

Login

Therapy

Login

Therapy for Skilled Nursing
& Senior Living

Login

Wound Care

Login

CliniSign

Login

Analytics

FOTO Patient Outcomes

Login

Tissue Analytics

Login

PointRight

Login

Education and Support

Net Health University

Login

Net Health Communities

Login
Schedule a Demo
Net Health ® Clinical Trials | Case Study

Tissue Analytics’ Smart Phone App Supports Stanford University Research

The Dermatology Department at Stanford School of Medicine gains unprecedented access to real-time data, richer results, and a streamlined process for remote data collection from patients through a partnership with Tissue Analytics

  • The Challenge
  • The Solution
  • The Results

The benefit of the Tissue Analytics app for us has been seeing our patient’s wounds in real-time. We’ve been able to collect so much more information on their wounds on a personal level, and our team can now take all of the data and be able to really draw some conclusions on EB wound healing from a larger participant base.”

Nicki Harris
Assistant Clinical Research Coordinator in the Dermatology Department at Stanford School of Medicine

The Challenge

In medical research, data is king. The research team in the Dermatology Department at Stanford School of Medicine studying Epidermolysis Bullosa (EB), a genetic tissue disorder that causes blisters or tears in fragile skin, found itself struggling to properly measure and categorize patient wound sizes, develop a reliable timeline for healing, and identify endpoints for future studies—all critical elements of its work.

With many patients decentralized and without regular access to expensive cameras and diagnostic equipment, the department struggled to maintain the continuity of data needed to drive research and draw meaningful conclusions.

“Before we had Tissue Analytics, we were only seeing patients maybe once or twice a year,” said Nicki Harris, Assistant Clinical Research Coordinator in the Dermatology Department at Stanford School of Medicine. “That was the only time we could effectively check on their wounds and take photos.”

Before we had Tissue Analytics, we were only seeing patients maybe once or twice a year. That was the only time we could effectively check on their wounds and take photos.”

Nicki Harris
Assistant Clinical Research Coordinator in the Dermatology Department at Stanford School of Medicine

The Solution

The solution needed to be accessible, adaptable, and easy to use. Tissue Analytics, a Net Health company, delivered. Tissue Analytics is a pioneering developer of automated mobile wound and skin imaging and predictive analytics solutions.

The company’s flagship product allows patients to download a secure app to their smartphone that the patient can use to send in pictures of their wound, as well as critical data like the degree of pain and itching during wound dressing changes. Images and data are sent securely to the provider’s dashboard, where the system automatically traces the wound, measures and maps the wound, and provides key metrics to the database.

Benefits of the product include:

  • A remote solution that allows patients to submit pictures and updates on their wounds regularly without needing to go into a doctor’s office or clinic
  • 2D and 3D automated measurement technology that reduces measurement errors by over 40%
  • Integration with Net Health’s WoundExpert, as well as a robust suite of integrations with many well-known hospital EHR systems
  • Advanced machine learning algorithms critical to the expansion of predictive analytics

The Results

Thanks to Tissue Analytics, the research team in the Dermatology Department at Stanford School of Medicine studying Epidermolysis Bullosa (EB) now receives weekly uploads of photos from patients enrolled in the study. Because patients can send in their own photos through the easily accessible app, the team isn’t limited by the patient’s geographical location or their access to expensive imaging technology.

The continuity of data, automated technology, and ease of use of the product have empowered the team to increase the size of its study through effective decentralized clinical research.

ShareTweetMailPrintWhatsapp
StumbleuponTumblr