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.

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. 

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