Journal article
Patient-centric surgeons' case mix problem
IISE transactions on healthcare systems engineering, Vol.12(2), pp.111-129
05/27/2022
DOI: 10.1080/24725579.2021.1965676
Abstract
This paper studies a single-period tactical planning problem to find the surgeons' case mix of a hospital surgical unit such that the total patient value per dollar spent on healthcare resources (the TPV) is maximized. We represent the relationship between the surgeons' volume and patient outcomes using the learning curve. We formulate the problem as a nonlinear integer programming model. The problem belongs to the class of nonquadratic transportation problems in which it is proven that no algorithm solving the problem in strongly polynomial time exists. We develop a Lagrangian-based heuristic solution approach that exploits the special structure of the problem. Using simulated and real data, we show that the diversity in surgeons' experience complements a surgical unit in a way that good patient outcomes of experienced surgeons counterbalance the average but improving patient outcomes of less experienced surgeons while the less experienced surgeons gain more experience.
Details
- Title: Subtitle
- Patient-centric surgeons' case mix problem
- Creators
- Renato de Matta - University of Iowa
- Resource Type
- Journal article
- Publication Details
- IISE transactions on healthcare systems engineering, Vol.12(2), pp.111-129
- Publisher
- Taylor & Francis
- DOI
- 10.1080/24725579.2021.1965676
- ISSN
- 2472-5579
- eISSN
- 2472-5587
- Language
- English
- Date published
- 05/27/2022
- Academic Unit
- Business Analytics
- Record Identifier
- 9984380410102771
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