Predictive Engine System Revs Up Patient Outcomes

The NorthShore team implementing the CAPE tool in Epic includes (from left) Health Information Technology Assistant Vice President Chad Konchak, Quality and Care Transformation Assistant Vice President Maureen Kharasch, and Infectious Disease Physician Dr. Nirav Shah.

NorthShore has a long history of using predictive modeling to identify patients at high risk for adverse outcomes like cardiac arrest and readmissions. And now, it is even easier for clinicians to act on that information through a new tool launched within NorthShore’s award-winning Electronic Medical Record (EMR) system, Epic.

The Clinical Analytics Prediction Engine (CAPE) was developed with significant philanthropic support from the Daniel F. and Ada L. Rice Foundation.

CAPE assigns each patient a single risk score tied to multiple predictive models. With this advancement, NorthShore now has the power to fundamentally change the way it delivers highly personalized and effective care to patients.  

“Utilizing predictive models is not a new thing,” explained Infectious Disease Specialist Nirav Shah, MD, a key member of the CAPE development team. “But being able to unify all the models into a single system and take the next step of creating intervention actions for clinicians is a game-changing advancement.”  

“The Rice Foundation has been instrumental in providing direct support for CAPE,” said Dr. Shah. “In addition, The Rice Foundation has just supported a new initiative that will take data and integrate this into CAPE to identify patients at risk of complications and readmissions,” he said.  

By bringing together all individual predictive models, CAPE creates a single platform and builds a framework of coordinated clinical interventions. For example, the system embeds specific, real-time actions in Epic for physicians, nurses and case managers to execute, such as checking vitals more frequently and educating patients about specific goals of their treatment plans. 

“We can study our “Med-to-Bed” intervention and determine if it’s effective in the span of a couple days as opposed to months or even years,” said Dr. Shah. “We’re essentially setting up a learning health system that will be transformative for both patients and our clinical teams.”

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