Title

A Decision Support Tool for Allocating Hospital Bed Resources and Determining Required Acuity of Care

Document Type

Article

Publication Date

3-1-2003

Keywords

neural networks, hospitalization, length of stay, trauma, pancreatitis, acuity of care, fuzzy ARTMAP, backpropagation

Digital Object Identifier (DOI)

http://dx.doi.org/10.1016/s0167-9236(02)00071-4

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).

Comments

This article was written before Steven Walczak was affiliated with the University of South Florida.

Was this content written or created while at USF?

false

Citation / Publisher Attribution

Decision Support Systems, v. 34, issue 4, p. 445-456