Assessing the Severity of Patients' Illnesses to Better Manage Health Care Resources

Phoebe D. Sharkey, Michael J. DeHaemer, Laurette Poulos Simmons and Susan D. Horn
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Phoebe D. Sharkey: Department of Information Systems and Decision Sciences, Sellinger School of Business and Management, Loyola College, Baltimore, Maryland 21210
Michael J. DeHaemer: Department of Information Systems and Decision Sciences, Sellinger School of Business and Management, Loyola College, Baltimore, Maryland 21210
Laurette Poulos Simmons: Department of Information Systems and Decision Sciences, Sellinger School of Business and Management, Loyola College, Baltimore, Maryland 21210
Susan D. Horn: Intermountain Health Care, IHC Institute for Health Care Delivery Research, 36 South State, Salt Lake City, Utah 84111

Interfaces, 1993, vol. 23, issue 4, 12-20

Abstract: The computerized severity index (CSI) system, an intelligent decision support system (DSS), is now used as a management tool at a growing number of hospitals in the US and Canada. The CSI expertly determines the severity level of a patient's illness and enables hospital management to more effectively evaluate the utilization of health care resources and the outcome of treatments. We developed CSI methodology as a complement to the diagnosis related groups (DRG) system that is mandated by federal law. While DRGs enable reimbursement agencies to classify patients into groups by type of illness and define hospitals' products, health care managers need a more refined classification system to compare the quality and economic efficiency of different treatment protocols, different physicians, and different hospitals.

Keywords: health care: hospitals; decision analysis: systems (search for similar items in EconPapers)
Date: 1993
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Persistent link: https://EconPapers.repec.org/RePEc:inm:orinte:v:23:y:1993:i:4:p:12-20

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