Marcia Peterson

Past Awards

2013
Innovative Applications in Analytics Award: Third Place
Winning material: GE Uses Real-Time Data to Forecast Near-Term Hospital Throughput and Bed Needs

Peter Katlic, Kunter Akbay, Onur Dulgeroglu, Christopher Johnson, Bex Thomas, Angela Patterson, Dan Yang, Andrew Day, Jeff Terry, and Keith O’Reilly, GE Research

Citation:

The caregivers and administrators in hospitals make complex patient flow decisions throughout the day to manage admissions from Emergency, Surgery and elsewhere into a scarce supply of inpatient beds, with relatively little decision support to identify those likely to be over-subscribed. In partnership with the Mount Sinai Medical Center (MSMC) in New York, we are prototyping a novel whole-hospital forecasting system which accurately estimates patient flow movements and bed shortages over the next 24 hours and displays operational feedback through interactive dashboards. Our system utilizes real-time data and historical patterns within a discrete-event simulation to currently achieve in excess of 98% accuracy on forecast census at the hospital level.