Bounds on a Trauma Outcome Function via Optimization

James E. Falk, Susan W. Palocsay, William J. Sacco, Wayne S. Copes and Howard R. Champion
Additional contact information
James E. Falk: George Washington University, Washington, D.C.
Susan W. Palocsay: James Madison University, Harrisonburg, Virginia
William J. Sacco: Washington Hospital Center, Washington, D.C.
Wayne S. Copes: Washington Hospital Center, Washington, D.C.
Howard R. Champion: Washington Hospital Center, Washington, D.C.

Operations Research, 1992, vol. 40, issue 1-supplement-1, S86-S95

Abstract: One measure of the effectiveness of institutional trauma and burn management based on collected patient data involves the computation of a standard normal Z statistic. A potential weakness of the measure arises from incomplete patient data. In this paper, we apply methods of fractional programming and global optimization to efficiently calculate bounds on the computed effectiveness of an institution. The measure of effectiveness (i.e., the trauma outcome function) is briefly described, the optimization problems associated with its upper and lower bounds are defined and characterized, and appropriate solution procedures are developed. We solve an example problem to illustrate the method.

Keywords: health care: trauma care evaluation; programming; fractional: nonconvex ratio optimization (search for similar items in EconPapers)
Date: 1992
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