How Two Health Systems Use Predictive Analytics to Reduce Readmissions (Managed Healthcare Executive/Aine Cryts)


[By Aine Cryts]

Reducing hospital readmissions requires just the right mix of clinical expertise and predictive analytics, according to industry experts. Here are two health systems that are hitting their stride.

1. Atrium Health, formerly Carolinas HealthCare System

James Hunter, MD, chief medical officer at Atrium Health, formerly Carolinas HealthCare System, says the large healthcare system with hospitals, emergency departments, urgent care centers, and medical practices in North Carolina and South Carolina began its journey to reduce readmissions in 2010. At that time, it focused on providing the best care to patients in the acute-care setting.

About three years into that journey, it became clear that focusing solely on the acute-care setting wasn’t enough. That’s why, in 2013, the health system began using predictive analytics to learn the types of supports patients needed outside the hospital or emergency department.

Today, its EHR leverages 42 different variables—which include clinical and socioeconomic information—to determine if a patient falls into… View Full Article Here