Efficient scheduling of emergency surgeries by adjusting the schedule of elective surgeries

Document Type : Article

Authors

1 Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

2 Department of Industrial Management and Information Technology, Faculty of Management and Accounting, Shahid Beheshti University, Tehran, Iran

3 Faculty of Industrial Engineering, Golpayegan University of Technology, Golpayegan, Iran

4 Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran

Abstract

The rapid growth of the population has resulted in an increasing demand for healthcare services, which forces managers to use costly resources such as operating rooms effectively. The surgery-scheduling problem is a general title for problems that consists of the patient selection and sequencing of the surgeries at the operational level, setting their start times, and assigning the resources. Hospital managers usually encounter elective surgeries that can be delayed slightly and emergency surgeries whose arrivals are unexpected, and most of them need quick access to operating rooms. Reserving operating room capacity for handling incoming emergency surgeries is expensive. Moreover, emergency surgeries cannot afford long waiting times. This paper deals with the problem of surgery scheduling in the presence of emergency surgeries with a focus on balancing the efficient use of operating room capacity and responsiveness to emergency surgeries. We proposed a new algorithm for surgery scheduling with a specific operating room capacity planning and analyzed it through a simulation method based on real data. This algorithm respects working hours and availability of staff and other resources in a surgical suite.

Keywords

References

References:
1. Cardoen, B., Demeulemeester, E., and Belien, J. "Operating room planning and scheduling: a literature review", Eur. J. Oper. Res., 201(3), pp. 921-932 (2010).
2. May, J., Spangler, W., Strum, D., et al. "The surgical scheduling problem: current research and future opportunities", Production and Operations Management, 20(3), pp. 392-405 (2011).
3. Zhu, S., Fan, W., Yang, S., et al. "Operating room planning and surgical case scheduling: a review of literature", Journal of Combinatorial Optimization, 37, pp. 757-805 (2019). https://doi.org/10.1007/s10878- 018-0322-6.
4. Guerriero, F. and Guido, R. "Operational research in the management of the operating theatre: a survey", Health Care Management Science, 14(1), pp. 89-114 (2011).
5. Duma, D. and Aringhieri, R. "An online optimization approach for the Real Time Management of operating rooms", Operations Research for Health Care, 7, pp. 40-51 (2015).
6. Litvak, N., Rijsbergen, M., Boucherie, R., et al. "Managing the over flow of intensive care patients", European Journal of Operation Research, 185(3), pp. 998-1010 (2008).
7. Cardoen, B. and Demeulemeester, E. "On the use of planning models in the operating theater: Results of a survey in Flanders", The International Journal of Health Planning and Management, 25(4), pp. 400-414 (2010).
8. Erdogan, S.A. and Denton, B.T. "Surgery planning and scheduling", In Wiley Encyclopedia of Operations Research and Management Science, J.J. Cochran, L.A. Cox, P. Keskinocak, J.P. Kharoufeh, and J.C. Smith, Eds., John Wiley & Sons (2010).
9. Ferrand, Y., Magazine, M., and Rao, U. "Managing operating room eciency and responsiveness for emergency and elective surgeries-A literature survey", IIE Transactions on Healthcare Systems Engineering, 4, pp. 49-64 (2014).
10. Tancrez, J.S., Roland, B., Cordier, J., et al. "Assessing the impact of stochasticity for operating theater sizing", Decision Support Systems, 55(2), pp. 616-628 (2013).
11. Tancrez, J.S., Roland, B., Cordier, J., et al. "How stochasticity and emergencies disrupt the surgical schedule", Intelligent Patient Management, 189, pp. 221-239 (2009).
12. Van Riet, C. and Demeulemeester, E. "Trade-offs in operating room planning for electives and emergencies: A review", Operation Research for Health Care, 7, pp. 52-69 (2015).
13. Persson, M. and Persson, J.A. "Analyzing management policies for operating room planning using simulation", Health Care Management Science, 13(2), pp. 182-191 (2010).
14. Van Essen, J., Hans, E., Hurink, J., et al. "Minimizing the waiting time for emergency surgery", Operation Research Health Care, 1, pp. 34-44 (2012).
15. Vandenberghe, M., Vuyst, S., and Aghezzaf, E. "Surgery sequencing to minimize the expected maximum waiting time of emergent patients", European Journal of Operational Research, 275(3), pp. 971-982 (2019).
16. Duma, D. and Aringhieri, R. "The management of non-elective patients: shared vs. dedicated policies", Omega, 83, pp. 199-212 (2019).
17. Ferrand, Y., Magazine, M., and Rao, U. "Partially flexible operating rooms for elective and emergency surgeries", Decision Sciences, 45, pp. 819-847 (2014).
18. Samudra, M., Van Riet, C., Demeulemeester, E., et al. "Scheduling operating rooms: Achievements, challenges and pitfalls", Journal of Scheduling, 19(5), pp. 493-525 (2016).
19. Gur, S. and Eren, T. "Application of operational research techniques in operating room scheduling problems: Literature overview", Journal of Healthcare Engineering, (2018). https://doi.org/10.1155/2018/5341394.
20. Pham, D. and Klinkert, A. "Surgical case scheduling as a generalized job shop scheduling problem", European Journal of Operational Research, 185, pp. 1011-1025 (2008).
21. Van Essen, J., Hurink, J., Hartholt, W., et al. "Decision support system for the operating room rescheduling problem", Health Care Management Science, 15(4), pp. 355-372 (2012).
22. Jung, K., Pinedo, M., Sriskandarajah C., et al. "Scheduling elective surgeries with emergency patients at shared operating rooms", Production and Operations Management, 28(6), pp. 1407-1430 (2019). https://doi.org/10. 1111/poms.12993.
23. Aringhieri, R., Landa, P., Soriano, P., et al. "A two level metaheuristic for the operating room scheduling and assignment problem", Computers & Operations Research, 54, pp. 21-34 (2015).
24. Moosavi, A. and Ebrahimnejad, S. "Scheduling of elective patients considering upstream and downstream units and emergency demand using robust optimization", Computers & Industrial Engineering, 120, pp. 216-233 (2018).
25. Riise, A., Mannino, C., and Burke, E.K. "Modelling and solving generalized operational surgery scheduling problems", Computers and Operations Research, 66, pp. 1-11 (2016).
26. Hans, E., Wullink, G., van Houdenhoven, M., et al. "Robust surgery loading", European Journal of Operational Research, 185(3), pp. 1038-1050 (2008).
27. Santiba~nez, P., Begen, M., and Atkins, D. "Surgical block scheduling in a system of hospitals: an application to resource and wait list management in a British Columbia health authority", Health Care Manage Sci, 10, pp. 269-282 (2007).
28. Banditori, C., Cappanera, P., and Visintin, F. "A combined optimization-simulation approach to the master surgical scheduling problem", IMA Journal of Management Mathematics, 24, pp. 155-187 (2013).
29. Cappanera, P., Visintin, F., and Banditori, C. "Addressing conflicting stakeholders' priorities in surgical scheduling by goal programming", Flexible Services and Manufacturing Journal, 30, pp. 252-271 (2018).
30. Visintin, F., Cappanera, P., and Banditori, C. "Evaluating the impact of  flexible practices on the master surgical scheduling process: an empirical analysis", Flexible Services and Manufacturing Journal, 28, pp. 182-205 (2016).
31. Riise, A. and Mannino, C. "The surgery scheduling problem - a general model", Report SINTEF (2012).
32. Yazdi, M., Zandieh, M., and Haleh, H. "A mathematical model for scheduling elective surgeries for minimizing the waiting times in emergency surgeries", International Journal of Engineering, 33(3), pp. 448- 458 (2020).
33. Stlevik, M., Nordlander, T., and Riise, A., Nurse Rostering Test Cases, SINTEF ICT, Available at: https://www.sintef.no/Projectweb/Healthcare-optimizat ion/Testbed/, Accessed 3 November 2016.
34. Lamiri, M., Xie, X., Dolgui, A., et al. "A stochastic model for operating room planning with elective and emergency demand for surgery", European Journal of Operational Research, 185, pp. 1026-1037 (2008).
35. Bowers, J. and Mould, G. "Managing uncertainty in orthopedic trauma theatres", European Journal of Operational Research, 154(3), pp. 599-608 (2004).
Scientia Iranica
Volume 30, Issue 1
Transactions on Industrial Engineering (E)
January and February 2023
Pages 237-259

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History

  • Receive Date: 02 June 2019
  • Revise Date: 30 November 2020
  • Accept Date: 08 March 2021

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