Ensemble-based methods for forecasting census in hospital units

Devin C. Koestler, Dartmouth College
Hernando Ombao, University of California, Irvine
Jesse Bender, Womens and Infants Hospital, Rhode Island

Abstract

The ability to accurately forecast census counts in hospital departments has considerable implications for hospital resource allocation. In recent years several different methods have been proposed forecasting census counts, however many of these approaches do not use available patient-specific information.