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. 2015 Nov 5:2015:640-8.
eCollection 2015.

Surgical Duration Estimation via Data Mining and Predictive Modeling: A Case Study

N Hosseini  1 , M Y Sir  1 , C J Jankowski  2 , K S Pasupathy  1
Affiliations

Surgical Duration Estimation via Data Mining and Predictive Modeling: A Case Study

N Hosseini et al. AMIA Annu Symp Proc. .

Abstract

Operating rooms (ORs) are one of the most expensive and profitable resources within a hospital system. OR managers strive to utilize these resources in the best possible manner. Traditionally, surgery durations are estimated using a moving average adjusted by the scheduler (adjusted system prediction or ASP). Other methods based on distributions, regression and data mining have also been proposed. To overcome difficulties with numerous procedure types and lack of sufficient sample size, and avoid distributional assumptions, the main objective is to develop a hybrid method of duration prediction and demonstrate using a case study.

Keywords: Classification; hybrid method; prediction; regression; surgery times.

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Figures

Figure 1
Figure 1
Research Method
Figure 2
Figure 2
Patient Age Distribution
Figure 3
Figure 3
Case Distribution Before and After Transformation
Figure 4
Figure 4
Scatter Plot for Prediction
See this image and copyright information in PMC

References

    1. Barnoon S, Wolfe H. Scheduling a multiple operating room system: A simulation approach. Health services research. 1968;3(4):272. - PMC - PubMed
    1. Hancock WM, Walter PF, More RA, Glick ND. Operating room scheduling data base analysis for scheduling. Journal of medical systems. 1988;12(6):397–409. - PubMed
    1. Robb DJ, Silver EA. Scheduling in a Management Context: Uncertain Processing Times and Non-Regular Performance Measures. Decis Sci. 1993;24(6):1085–108.
    1. Strum D, May J, Vargas L. Surgical procedure times are well modeled by the lognormal distribution. Anesthesia & Analgesia. 1998;86(2S):47S.
    1. May JH, Strum DP, Vargas LG. Fitting the Lognormal Distribution to Surgical Procedure Times*. Decision Sciences. 2000;31(1):129–48.

MeSH terms

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