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Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 61))

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Abstract

This paper addresses Operating Room scheduling problems in elective surgery. In particular, we study a model for determining the surgical schedule when uncertainty on surgery duration is taken into account in order to consider and evaluate the risk of overtime and the possible waste of operating time. Surgical cases are selected from the waiting lists according to several parameters, including surgery duration, waiting time and priority class of the operations. We apply the proposed approach to the operating theatre of a public, medium-size hospital in Italy, using Mathematical Programming formulations and Monte Carlo simulations, assuring the scalability of the approach on larger hospitals.

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References

  1. Agnetis, A., Coppi, A., Corsini, M., Dellino, G., Meloni, C., Pranzo, M.: Long term evaluation of operating theater planning policies. Oper. Res. Health Care 1(4), 95–104 (2012)

    Article  Google Scholar 

  2. Cardoen, B., Demeulemeester, E., Beliën, J.: Operating room planning and scheduling: a literature review. Eur. J. Oper. Res. 201, 921–932 (2010)

    Article  MATH  Google Scholar 

  3. Chaabane, S., Meskens, N., Guinet, A., Laurent, M.: Comparison of two methods of operating theatre planning: application in Belgian hospital. J. Syst. Sci. Syst. Eng. 17(2), 171–186 (2008)

    Article  Google Scholar 

  4. Combes, C., Meskens, N., Rivat, C., Vandamme, J.-P.: Using a KDD process to forecast the duration of surgery. Int. J. Prod. Econ. 112, 279–293 (2008)

    Article  Google Scholar 

  5. Denton, B., Viapiano, J., Vogl, A.: Optimization of surgery sequencing and scheduling decisions under uncertainty. Health Care Manag. Sci. 10(1), 13–24 (2007)

    Article  Google Scholar 

  6. Dexter, F., Traub, R.D., Macario, A.: How to release allocated operating room time to increase efficiency: predicting which surgical service will have the most underutilized operating room time. Anesth. Analg. 96(2), 507–512 (2003)

    Google Scholar 

  7. Guerriero, F., Guido, R.: Operational research in the management of the operating theatre: a survey. Health Care Manag. Sci. 14(1), 89–114 (2011)

    Article  MathSciNet  Google Scholar 

  8. Guinet, A., Chaabane, S.: Operating theatre planning. Int. J. Prod. Econ. 85, 69–81 (2003)

    Article  Google Scholar 

  9. Jebali, A., Alouane, A.B.H., Ladet, P.: Operating rooms scheduling. Int. J. Prod. Econ. 99(1–2), 52–62 (2006)

    Article  Google Scholar 

  10. Li, Y., Zhang, S., Baugh, R.F., Huang, J.Z.: Predicting surgical case durations using ill-conditioned CPT code matrix. IIE Trans. 42, 121–135 (2010)

    Article  Google Scholar 

  11. National Center for Health Statistics: ICD-9-CM Addenda, conversion table, and guidelines (2011). Available on http://www.cdc.gov/nchs/icd/icd9cm_addenda_guidelines.htm

  12. Sier, D., Tobin, P., McGurk, C.: Scheduling surgical procedures. J. Oper. Res. Soc. 48, 884–891 (1997)

    MATH  Google Scholar 

  13. Spangler, W.E., Strum, D.P., Vargas, L.G., May, J.H.: Estimating procedure times for surgeries by determining location parameters for the lognormal model. Health Care Manag. Sci. 7, 97–104 (2004)

    Article  Google Scholar 

  14. Strum, D.P., May, J.H., Vargas, L.G.: Modeling the uncertainty of surgical procedure times: comparison of log-normal and normal models. Anesthesiology 92(4), 1160–1167 (2000)

    Article  Google Scholar 

  15. Testi, A., Tanfani, E., Torre, G.C.: A three phase approach for operating theatre schedules. Health Care Manag. Sci. 10, 163–172 (2007)

    Article  Google Scholar 

  16. Testi, A., Tanfani, E., Torre, G.C.: Tactical and operational decisions for operating room planning: efficiency and welfare implications. Health Care Manag. Sci. 12, 363–373 (2008)

    Article  Google Scholar 

  17. Wright, I.H., Kooperberg, C., Bonar, B.A., Bashein, G.: Statistical modeling to predict elective surgery time. Anesthesiology 85(6), 1235–1245 (1996)

    Article  Google Scholar 

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Acknowledgements

This research is partially supported by the grant “Gestione delle risorse critiche in ambito ospedaliero” (“Critical resource management in hospitals”) of the Regione Toscana—PAR FAS 2007–2013 1.1.a.3.- B51J10001140002.

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Correspondence to Gabriella Dellino .

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Dellino, G., Meloni, C., Pranzo, M. (2014). Risk-Aware Scheduling of Elective Surgeries. In: Matta, A., Li, J., Sahin, E., Lanzarone, E., Fowler, J. (eds) Proceedings of the International Conference on Health Care Systems Engineering. Springer Proceedings in Mathematics & Statistics, vol 61. Springer, Cham. https://doi.org/10.1007/978-3-319-01848-5_11

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