Can statisticians beat surgeons at the planning of operations?
- 572 Downloads
The planning of operations in the Academic Medical Center is primarily based on the assessments of the length of the operation by the surgeons. We investigate whether duration models employing the information available at the moment the planning is made, offer a better alternative. Our empirical results indicate that statistical methods often do better than surgeons. This does not imply that the surgeons’ predictions do not contain valuable information. This information is a key explanatory variable in our statistical models. What our conclusion does entail is that a correction of the predictions of surgeons is possible because they are often under- or overestimating the actual length of operations.
KeywordsEfficient planning of operations Duration models Cost reduction
JEL ClassificationI10 I12
The comments of two anonymous referees are gratefully acknowledged. All ML-routines used are either performed by using standard routines from Stata or are carried out using R (free software, for information see http://www.r-project.org/).
This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
- Benchmarking OR (2008) Benchmarking: een kwestie van leren, digital publication. URL: http://www.benchmarking-ok.nl
- Cameron AC, Trivedi PK (2005) Microeconometrics. Cambridge University Press, CambridgeGoogle Scholar
- Joustra P, Meester R, Van Ophem H (2010) Can statisticians beat surgeons at the planning of operations. Discussion paper 2010/06. UvA-Econometrics, Amsterdam/School of Economics, University of AmsterdamGoogle Scholar
- Lancaster T (1990) The econometric analysis of transition data. Cambridge University Press, CambridgeGoogle Scholar
- Stepaniak PS, Heij C, Mannaerts GH, de Quelerij M, De Vries G (2009) Modeling procedure and surgical times for current procedural terminology-anesthesia-surgeon combinations and evaluation in terms of case-duration prediction and operating room efficiency: a multicenter study. Anesth Analg 109: 1232–1245CrossRefGoogle Scholar