Sentrian selected as a 2015 Global Digital Health 100 company

Sentrian, the Remote Patient Intelligence™ company aspiring to eliminate all preventable hospitalization, has been selected as a 2015 Global Digital Health 100 company by the Journal of mHealth.

Reflecting the growing prominence of mobile, digital and connected solutions in the healthcare sector, the 2015 Global Digital Health 100 includes innovative companies from 15 countries. Sentrian was recognized for its Remote Patient Intelligence (RPI) solution, designed to reduce avoidable hospitalization by leveraging the revolution in biosensors and machine learning to remotely detect health deterioration in high-risk patients earlier and with higher accuracy. That enables lower-cost interventions to be utilized before the patient becomes acute and requires hospitalization.

"We are honored to be recognized as one of the Global Digital Health 100," said Sentrian CEO Dean Sawyer. "This recognition is validation of the importance of the work we're undertaking with our customers in applying advanced analytics to remote biometric data streams. We believe the technology will drive significant reductions in hospitalization while increasing the efficiency of remote care teams – accomplishments that will help our healthcare system cope with the crushing expense of caring for the chronically ill."

The Global Digital Health 100 represents six months of analysis by the editorial and advisory team at the Journal of mHealth, who considered the innovations from companies across the digital health ecosystem prior to selecting the final 100. The judging criteria analyzed 10 different quantitative and qualitative evaluation metrics including: disruptive impact; proof of concept; technology innovation; social value; effectiveness; execution of strategy; and, industry integration. The selected 100 companies demonstrate true innovation and the opportunity to disrupt the delivery of healthcare at scale.




The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
You might also like...
Racial and other biases in AI algorithms for healthcare can be tackled with public support