Researchers develop data tool that may improve care
PITTSBURGH, Feb. 8, 2021 - With the aid of sophisticated machine learning, researchers at UPMC and the University of Pittsburgh School of Medicine demonstrated that a tool they developed can rapidly predict mortality for patients facing transfer between hospitals in order to access higher-acuity care. This research, published today in PLOS One, could help physicians, patients and their families avoid unnecessary hospital transfers and low-value treatments, while better focusing on the goals of care expressed by patients.
Each year, nearly 1.6 million patients--or as much as 3.5% of all inpatient admissions--are transferred from one hospital to another to access specialized care for complex conditions. ...











