WakeMed deploys predictive analytics software to detect patient health decline

WakeMed Health & Hospitals implemented predictive analytics software from Pera Health, a software-as-a-service company, that sorts through EHR data to identify potential predictors for decline in a patient’s health.

Advertisement

The Raleigh, N.C.-based health system deployed the Rothman Index software in September at WakeMed Cary (N.C.) Hospital with a 47-day implementation process. WakeMed plans to integrate the software throughout the rest of the 941-bed health system later this year. 

The Rothman Index uses an algorithm that automatically integrates a patient’s EHR data, including age, disease and care setting, with the individual’s current vitals to detect problems in advance using predictive analytics. It can identify changes in patient condition hours or days earlier than existing vitals-based algorithms, according to the news release. 

More articles on data analytics:
How health systems can arm physicians with performance data and insights
VA names new chief data officer: 4 things to know
National data-sharing task force appoints chair

At the Becker's 11th Annual IT + Revenue Cycle Conference: The Future of AI & Digital Health, taking place September 14–17 in Chicago, healthcare executives and digital leaders from across the country will come together to explore how AI, interoperability, cybersecurity, and revenue cycle innovation are transforming care delivery, strengthening financial performance, and driving the next era of digital health. Apply for complimentary registration now.

Register to Attend Webinar

The hidden cost of lost clinical time and how leading health systems are responding

Friday, August 7
12:00 PM - 1:00 PM CDT

Presenters: Kassaundra McKnight-Young, Zebra TechnologiesGregory Carras, Zebra TechnologiesJennifer Gene, Levata

Advertisement

Next Up in Innovation

Advertisement

Comments are closed.