Using Machine Learning and EMR Data to Predict Patient Decline

Can predictive analytics alert a hospital’s rapid-response team (RRT) to a health crisis in the making? Yes they can, said Brett MacLaren, vice president of enterprise analytics at Sharp HealthCare in San Diego, California. MacLaren oversaw an eight-week proof-of-concept (PoC) project that analyzed data from the hospital’s Cerner* electronic medical record (EMR) system to identify patients who were at risk of requiring an intervention from the rapid response team within the next hour. He said the PoC highlights the potential for predictive analytics to help hospitals improve the quality and cost of patient care and make more effective use of highly skilled clinicians…

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