MACHINE LEARNING & AI: A HIMSS EVENT
LAS VEGAS, NV - MARCH 5, 2018
Excess unplanned hospital readmissions are a quality of care indicator, and pose a financial burden to hospitals.
In this session, attendees will learn how Children’s Hospital of Pittsburgh at UPMC developed an innovative real-time tool that calculates every inpatient's unique readmission risk, at point-of-discharge, from structured and unstructured elements in the EHR. The hospital integrated this predictor into its EHR, and when run in silent mode (Jan-March '17), it accurately predicted 80% of discharges with a high-risk of readmission.
The hospital now has an intervention plan (based on nurse calls, home health visits) that has already shown a reduction in preventable readmissions.
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