A decision support tool for allocating hospital bed resources and determining required acuity of care

Authors:
Steven Walczak;Walter E. Pofahl;Ronald J. Scorpio
Affiliations:
College of Business and Administration, University of Colorado at Denver, Campus Box 165, PO Box 173364, Denver, CO;Department of Surgery, Brody School of Medicine, East Carolina University, Greenville, NC;Spartanburg Regional Healthcare System, 101 East Wood Street, Spartanburg, SC
Venue:
Decision Support Systems
Year:
2003

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Abstract

Limitations in health care funding require physicians and hospitals to find effective ways to utilize resources. Neural networks provide a method for predicting resource utilization of costly resources used for prolonged periods of time. Injury severity knowledge is used to determine the acuity of care required for each patient and length of stay is used to determine duration of inpatient hospitalization. Neural networks perform well on these medical domain problems, predicting total length of stay within 3 days for pediatric trauma (population mean and S.D. 4.37 ± 45.12) and within 4 days for acute pancreatitis patients (7.75 ± 79.19).