Predicting patient resource needs: A methodology for ambulatory care

Joseph Khamalah, David M. Dilts

Research output: Contribution to conferencePaper

2 Scopus citations

Abstract

The purpose of this paper is to present the application of the a priori Resource-based Classification Methodology (APRCM) at a secondary/tertiary clinic in the specialized ambulatory care setting of low vision. APRCM is an aggregate planning tool for application in the health care sector at the micro (clinic) level for predicting the expected patient resource utilization. It applies clustering and several classification/assignment techniques on a clinic's patient discharge data to develop a system that, on the basis of information available prior to a patient receiving health care service, predicts the clinic resources that a patient would utilize on the appointment date. We demonstrate that APRCM significantly improves the accuracy with which a patient's expected resource demands can be predicted.

Original languageEnglish (US)
Pages1464-1466
Number of pages3
StatePublished - Jan 1 1998
EventProceedings of the 1997 Annual Meeting of the Decision Sciences Institute. Part 1 (of 3) - San Diego, CA, USA
Duration: Nov 22 1997Nov 25 1997

Other

OtherProceedings of the 1997 Annual Meeting of the Decision Sciences Institute. Part 1 (of 3)
CitySan Diego, CA, USA
Period11/22/9711/25/97

ASJC Scopus subject areas

  • Management Information Systems
  • Hardware and Architecture

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    Khamalah, J., & Dilts, D. M. (1998). Predicting patient resource needs: A methodology for ambulatory care. 1464-1466. Paper presented at Proceedings of the 1997 Annual Meeting of the Decision Sciences Institute. Part 1 (of 3), San Diego, CA, USA, .