Skip to main content
Log in

Overutilization and underutilization of operating rooms - insights from behavioral health care operations management

  • Published:
Health Care Management Science Aims and scope Submit manuscript

Abstract

The planning of surgery durations is crucial for efficient usage of operating theaters. Both planning too long and too short durations for surgeries lead to undesirable consequences, e.g. idle time, overtime, or rescheduling of surgeries. We define these consequences as operating room inefficiency. The overall objective of planning surgery durations is to minimize expected operating room inefficiency, since surgery durations are stochastic. While most health care studies assume economically rational behavior of decision makers, experimental studies have shown that decision makers often do not act according to economic incentives. Based on insights from health care operations management, medical decision making, behavioral operations management, as well as empirical observations, we derive hypotheses that surgeons’ behavior deviates from economically rational behavior. To investigate this, we undertake an experimental study where experienced surgeons are asked to plan surgeries with uncertain durations. We discover systematic deviations from optimal decision making and offer behavioral explanations for the observed biases. Our research provides new insights to tackle a major problem in hospitals, i.e. low operating room utilization going along with staff overtime.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Abouleish AE, Dexter F, Epstein RH, Lubarsky DA, Whitten CW, Prough DS (2003) Labor costs incurred by anesthesiology groups because of operating rooms not being allocated and cases not being scheduled to maximize operating room efficiency. Anesth Analg 96(4):1109–1113

    Article  Google Scholar 

  2. Alvarez R, Bowry R, Carter M (2010) Prediction of the time to complete a series of surgical cases to avoid cardiac operating room overutilization. Can J Anesth/J Can d’anesthésie 57(11):973–979

    Article  Google Scholar 

  3. Andersen LB (2009) What determines the behaviour and performance of health professionals? public service motivation, professional norms and/or economic incentives. Int Rev Adm Sci 75(1):79–97

    Article  Google Scholar 

  4. Bendoly E, Croson R, Goncalves P, Schultz K (2010) Bodies of knowledge for research in behavioral operations. Prod Oper Manag 19(4):434–452

    Article  Google Scholar 

  5. Benzion U, Cohen Y, Peled R, Shavit T (2008) Decision-making and the newsvendor problem: an experimental study. J Oper Res Soc 59(9):1281–1287

    Article  Google Scholar 

  6. Bolton GE, Katok E (2008) Learning by doing in the newsvendor problem: A laboratory investigation of the role of experience and feedback. Manuf Serv Oper Manag 10(3):519–538

    Google Scholar 

  7. Bolton GE, Ockenfels A, Thonemann U (2012) Managers and students as newsvendors. Manag Sci 58 (12):2225–2233

    Article  Google Scholar 

  8. Brailsford S, Schmidt B (2003) Towards incorporating human behaviour in models of health care systems: An approach using discrete event simulation. Eur J Oper Res 150(1):19–31

    Article  Google Scholar 

  9. Cardoen B, Demeulemeester E, Beliën J (2010) Operating room planning and scheduling: A literature review. Eur J Oper Res 201(3):921–932

    Article  Google Scholar 

  10. Carter M (2002) Diagnosis: Mismanagement of resources. OR/MS Today 29(2):26–32. http://www.orms-today.org/orms-4-02/frmismanagement.html

    Google Scholar 

  11. Cayirli T, Veral E, Rosen H (2006) Designing appointment scheduling systems for ambulatory care services. Health Care Manag Sci 9(1):47–58. doi:10.1007/s10729-006-6279-5.

  12. De Véricourt F, Jain K, Bearden JN, Filipowicz A (2013) Sex, risk and the newsvendor. J Oper Manag 31(1):86–92

    Article  Google Scholar 

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

    Article  Google Scholar 

  14. Dexter EU, Dexter F, Masursky D, Kasprowicz KA (2010) Prospective trial of thoracic and spine surgeons’ updating of their estimated case durations at the start of cases. Anesth Analg 110(4):1164–1168

    Article  Google Scholar 

  15. Dexter F, Traub RD (2002) How to schedule elective surgical cases into specific operating rooms to maximize the efficiency of use of operating room time. Anesth Analg 94(4):933–942

    Article  Google Scholar 

  16. Dexter F, Wachtel RE (2014) Ophthalmologic surgery is unique in operating room management. Anesth Analg 119(6):1243–1245

    Article  Google Scholar 

  17. Dexter F, Macario A, Ledolter J (2007a) Identification of systematic underestimation (bias) of case durations during case scheduling would not markedly reduce overutilized operating room time. J Clin Anesth 19 (3):198–203

    Article  Google Scholar 

  18. Dexter F, Xiao Y, Dow AJ, Strader MM, Ho D, Wachtel RE (2007b) Coordination of appointments for anesthesia care outside of operating rooms using an enterprise-wide scheduling system. Anesth Analg 105(6):1701–1710

    Article  Google Scholar 

  19. Eijkemans MJC, van Houdenhoven M, Nguyen T, Boersma E, Steyerberg EW, Kazemier G (2010) Predicting the unpredictable a new prediction model for operating room times using individual characteristics and the surgeons estimate. Anesthesiology 112(1):41–49

    Article  Google Scholar 

  20. Fischbacher U (2007) z-tree: Zurich toolbox for ready-made economic experiments. Exp Econ 10(2):171–178

    Article  Google Scholar 

  21. Fügener A (2015) An integrated strategic and tactical master surgery scheduling approach with stochastic resource demand. J Bus Logist (Forthcoming)

  22. Fügener A, Hans EW, Kolisch R, Kortbeek N, Vanberkel PT (2014) Master surgery scheduling with consideration of multiple downstream units. Eur J Oper Res 239(1):227–236

    Article  Google Scholar 

  23. Fügener A, Edenharter G, Kiefer P, Mayr U, Schiele J, Steiner F, Kolisch R, Blobner M (2015) Improving icu and Ward Utilization by Adapting Master Surgery Schedules: A Case Study. Anesthesia & Analgesia Case Reports (Forthcoming)

  24. Gino F, Pisano G (2008) Toward a theory of behavioral operations. Manuf Serv Oper Manag 10(4):676–691

    Google Scholar 

  25. Goodrick E, Salancik GR (1996) Organizational Discretion in Responding to Institutional Practices: Hospitals and Cesarean Births. Administrative Science Quarterly, pp 1–28

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

    Article  Google Scholar 

  27. Gul S, Denton BT, Fowler JW, Huschka T (2011) Bi-criteria scheduling of surgical services for an outpatient procedure center. Prod Oper Manag 20(3):406–417

    Article  Google Scholar 

  28. Gupta D, Denton B (2008) Appointment scheduling in health care: Challenges and opportunities. IIE Trans 40(9):800–819

    Article  Google Scholar 

  29. Katok E (2011) Laboratory Experiments in Operations Management. TutORials in Operations Research, pp 15–35

  30. Kremer M, Minner S, VanWassenhove LN (2010) Do random errors explain newsvendor behavior Manuf Serv Oper Manag 12(4):673–681

    Google Scholar 

  31. Loch CH, Wu Y (2007) Behavioral Operations Management. Now Publishers Inc

  32. Lovejoy WS, Li Y (2002) Hospital operating room capacity expansion. Manag Sci 48(11):1369–1387

    Article  Google Scholar 

  33. May JH, Strum DP, Vargas LG (2000) Fitting the lognormal distribution to surgical procedure times. Decis Sci 31(1):129–148

    Article  Google Scholar 

  34. May JH, Spangler WE, Strum DP, Vargas LG (2011) The surgical scheduling problem: Current research and future opportunities. Prod Oper Manag 20(3):392–405

    Article  Google Scholar 

  35. Moritz BB, Hill AV, Donohue KL (2013) Individual differences in the newsvendor problem: Behavior and cognitive reflection. J Oper Manag 31:72–85

    Article  Google Scholar 

  36. Olivares M, Terwiesch C, Cassorla L (2008) Structural estimation of the newsvendor model: An application to reserving operating room time. Manag Sci 1(1):41–55

    Article  Google Scholar 

  37. Pandit JJ, Carey A (2006) Estimating the duration of common elective operations: Implications for operating list management. Anaesthesia 61(8):768–776

    Article  Google Scholar 

  38. Peltokorpi A (2011) How do strategic decisions and operative practices affect operating room productivity Health Care Manag Sci 14(4):370–382

    Article  Google Scholar 

  39. Perry JL, Wise LR (1990) The Motivational Bases of Public Service. Public administration review, pp 367–373

  40. Rhodes M, Barker P (2007) Operating room utilization. Surg Endosc 21(12):2339–2340

    Article  Google Scholar 

  41. Schiffels S, Fügener A, Brunner JO, Kolisch R (2014) On the assessment of costs in a newsvendor environment: Insights from an experimental study. Omega 43:1–8

    Article  Google Scholar 

  42. Schweitzer ME, Cachon GP (2000) Decision bias in the newsvendor problem with a known demand distribution: Experimental evidence. Manag Sci 46(3):404–420

    Article  Google Scholar 

  43. Silber JH, Rosenbaum PR, Zhang XM, Even-Shoshan O (2007) Estimating anesthesia and surgical procedure times from medicare anesthesia claims. Anesthesiology 106(2):346–355

    Article  Google Scholar 

  44. Strum DP, Vargas LG, May JH, Bashein G (1997) Surgical suite utilization and capacity planning: A minimal cost analysis model. J Med Syst 21(5):309–322

    Article  Google Scholar 

  45. Strum DP, May JH, Vargas LG (2000) Modeling the uncertainty of surgical procedure times: Comparison of log-normal and normal models. Anesthesiology 92(4):1160–1167

    Article  Google Scholar 

  46. Wachtel RE, Dexter F (2010) Review of behavioral operations experimental studies of newsvendor problems for operating room management. Anesth Analg 110(6):1698–1710

    Article  Google Scholar 

  47. Wang J, Yang K (2014) Using type iv pearson distribution to calculate the probabilities of underrun and overrun of lists of multiple cases. Eur J Anaesthesiol (EJA) 31(7):363–370

    Article  Google Scholar 

  48. Wright IH, Kooperberg C, Bonar B, Bashein G (1996) Statistical modeling to predict elective surgery time: Comparison with a computer scheduling system and surgeon-provided estimates. Anesthesiology 85(6):1235–1245

    Article  Google Scholar 

  49. Yule S, Flin R, Paterson-Brown S, Maran N (2006) Non-technical skills for surgeons in the operating room: A review of the literature. Surgery 139(2):140–149

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Andreas Fügener.

Appendix

Appendix

Instructions of the main experiment::

The instructions are translated from German and shortened since the original instructions also contain screenshots. Furthermore, they do not contain the cost values and the payment figures since they are different for the instruction of the low quantile case and the high quantile case. The instructions consist of four parts.

1. General information::

You are about to participate in an experiment in decision making. In the course of the experiment you can earn a considerable amount of money depending on your decisions. In the experiment, all monetary amounts are specified in Experimental Currency Units (ECU). They are converted according a fixed exchange rate into Euro (see payment determination) at the end of the experiment. The experiment is followed by a short questionnaire and, afterwards, you will be paid in cash. All your decisions and answers will be treated confidentially. Please read the following instructions carefully. If you have any questions, please ask.

2. Experimental task::

Consider the following simplified decision situation about planning of surgery durations. Your job is to reserve time for a surgery in the operating room. You don’t know how long the surgery will take but you know that the duration of that surgery is equally probable for any value between 100 and 200. Every reserved minute of the operating room is associated with costs. If your reserved time exceeds the duration, the remaining time can not be used otherwise. If the duration exceeds your reserved time, the additional time needed is associated with higher costs. The surgery can not be interrupted. For each minute you reserve the operating room, the costs are ECU ... (the costs per minute reserved too much correspond to ECU ...). For each minute the operating room is needed beyond the reserved time, the costs are ECU ... (the additional costs for each minute reserved too little correspond to ECU ...).

  • The cost per minute reserved time even occur if the duration is shorter than the reserved time.

  • The operation must be carried out until the end.

3. Experimental procedure::

The experiment consists of 20 rounds and the surgery duration in each round is independent of past surgery durations. Every round consists of two screens. The first screen summarizes the information already given in the instructions. Furthermore, you have to enter the minutes you want to reserve the operating room (between 100 and 200 minutes) in the red box and press the button “OK”. Please take sufficient time to make your decisions. Afterwards, the second screen appears. On the second screen, your reserved time is given again and you receive information about the realized duration. Furthermore, the resulting costs are listed. After pressing “OK”, the next round starts. You have to plan 20 independent surgeries.

4. Payment determination::

You can earn money dependent on your performance in the course of the experiment. At the end of the experiment, the costs in ECU incurred in all rounds are added together. These costs will be deducted from a fixed budget of ECU ..., which is available to fulfill the task. Your payoff is the resulting amount which is converted by a factor of ECU ... = €1. Depending on your performance, the payoff will be between €5 and €5.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Fügener, A., Schiffels, S. & Kolisch, R. Overutilization and underutilization of operating rooms - insights from behavioral health care operations management. Health Care Manag Sci 20, 115–128 (2017). https://doi.org/10.1007/s10729-015-9343-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10729-015-9343-1

Keywords

Navigation