Improving patient flow during infectious disease outbreaks using machine learning for real-time prediction of patient readiness for discharge.
Journal:
PloS one
Published Date:
Nov 23, 2021
Abstract
BACKGROUND: Delays in patient flow and a shortage of hospital beds are commonplace in hospitals during periods of increased infection incidence, such as seasonal influenza and the COVID-19 pandemic. The objective of this study was to develop and evaluate the efficacy of machine learning methods at identifying and ranking the real-time readiness of individual patients for discharge, with the goal of improving patient flow within hospitals during periods of crisis.