Optimization and Simulation of Orthopedic Spine Surgery Cases at Mayo Clinic

Published Online:https://doi.org/10.1287/msom.2015.0564

References

  • Abouleish AE, Prough DS, Whitten CW, Zornow MH (2003) The effects of surgical case duration and type of surgery on hourly clinical productivity of anesthesiologists. Anesthesia Analgesia 97(3):833–838.CrossrefGoogle Scholar
  • Adan I, Bekkers J, Dellaert N, Vissers J, Yu X (2009) Patient mix optimisation and stochastic resource requirements: A case study in cardiothoracic surgery planning. Health Care Management Sci. 12(2):129–141.CrossrefGoogle Scholar
  • Alvarez R, Bowry R, Carter M (2010) Prediction of the time to complete a series of surgical cases to avoid cardiac operating room overutilization. Canadian J. Anaesthesia 57(11):973–979.CrossrefGoogle Scholar
  • Batun S, Denton BT, Huschka TR, Schaefer AJ (2011) Operating room pooling and parallel surgery processing under uncertainty. INFORMS J. Comput. 23(2):220–237.LinkGoogle Scholar
  • Blake JT, Donald J (2002) Mount Sinai hospital uses integer programming to allocate operating room time. Interfaces 32(2): 63–73.LinkGoogle Scholar
  • Cardoen B, Demeulemeester E, Beliën J, Samudra S (2013) Operating room planning and scheduling. Denton BT, ed. Handbook of Healthcare Operations Management: Methods and Applications (Springer, New York), 121–153.Google Scholar
  • Choi S, Wilhelm WE (2012) An analysis of sequencing surgeries with durations that follow the lognormal, gamma, or normal distribution paper. IIE Trans. Healthcare Systems Engrg. 2(2): 156–171.CrossrefGoogle Scholar
  • Denton BT, Viapiano J, Vogl A (2007) Optimization of surgery sequencing and scheduling decisions under uncertainty. Health Care Management Sci. 10(1):13–24.CrossrefGoogle Scholar
  • Denton BT, Miller AJ, Balasubramanian HJ, Huschka TR (2010) Optimal allocation of surgery blocks to operating rooms under uncertainty. Oper. Res. 58(4):802–816.LinkGoogle Scholar
  • Dexter F, Dexter EU, Ledolter J (2010) Influence of procedure classification on process variability and parameter uncertainty of surgical case durations. Anesthesia Analgesia 110(4):1155–1163.CrossrefGoogle Scholar
  • Dexter F, Traub RD, Qian F (1999) Comparison of statistical methods to predict the time to complete a series of surgical cases. J. Clinical Monitoring Comp. 15(1):45–51.CrossrefGoogle Scholar
  • Dexter F, Blake JT, Penning DH, Solan B, Chung P, Lubarsky DA (2002) Use of linear programming to estimate impact of changes in a hospital’s operating room time allocation on perioperative variable costs. Anesthesiology 96(3):718–724.CrossrefGoogle Scholar
  • Dexter F, Davis M, Halbeis CE, Marjamaa R, Marty J, McIntosh C, Nakata Y, Thenuwara KN, Sawa T, Vigoda M (2006) Mean operating room times differ by 50% among hospitals in different countries for laparoscopic cholecystectomy and lung lobectomy. J. Anesthesia 20(4):319–322.CrossrefGoogle Scholar
  • Espin S, Lingard L, Baker GR, Regehr G (2006) Persistence of unsafe practice in everyday work: An exploration of organizational and psychological factors constraining safety in the operating room. Quality Safety Health Care 15(3):165–170.CrossrefGoogle Scholar
  • Gao X, Xu H, Ye D (2009) Asymptotic behavior of tail density for sum of correlated lognormal variables. Internat. J. Math. Math. Sci. 2009:1–28.Google Scholar
  • Guerriero F, Guido R (2011) Operational research in the management of the operating theatre: A survey. Health Care Management Sci. 14(1):89–114.CrossrefGoogle Scholar
  • Kuehn L (2012) Back to the basics of spine surgery: Anatomy, terminology knowledge can improve coding. J. AHIMA 83(9):68–70.Google Scholar
  • Macario A, Dexter F (1999) Estimating the duration of a case when the surgeon has not recently performed the procedure at the surgical suite. Anesthesia Analgesia 89(5):1241–1245.CrossrefGoogle Scholar
  • Mason AJ (2012) Opensolver—An open source add-in to solve linear and integer progammes in excel. Klatte D, Lüthi H-J, Schmedders K, eds. Operations Research Proceedings 2011 (Springer, Berlin), 401–406.CrossrefGoogle Scholar
  • May JH, Spangler W, Strum DP, Vargas LG (2011) The surgical scheduling problem: Current research and future opportunities. Production Oper. Management 20(3):392–405.CrossrefGoogle Scholar
  • Nan L, Li L (2011) Estimating the distribution of surgical durations based on eliminating the abnormal data. 2011 8th International Conference on Service Systems and Service Management (ICSSSM), June 25–27, Business School, Nankai University, Tianjin, China (IEEE), 1–5.CrossrefGoogle Scholar
  • Oostrum JMV, Houdenhoven MV, Hurink Jl, Hans EW, Wullink G, Kazemier G (2008) A master surgical scheduling approach for cyclic scheduling in operating room departments. OR Spectrum 30(2):355–374.CrossrefGoogle Scholar
  • Patel VV, Patel A, Harrop JS, Burger E (2013) Spine Surgery Basics (Springer, New York).Google Scholar
  • Rohleder TR, Sabapathy D, Schorn R (2005) Surgical suites’ operations management. Clin. Invest. Med. 28(6):353–358.Google Scholar
  • Schult R, Matuszyk P, Spiliopoulou M (2011) Prediction of surgery duration using empirical anesthesia protocols. Proc. KD-HCM 2011 at the ECML PKDD Int. Conf. 2011, Athens Greece, 66–77.Google Scholar
  • Spangler WE, Strum DP, Vargas LG, May JH (2004) Estimating procedure times for surgeries by determining location parameters for the lognormal model. Health Care Management Sci. 7(2): 97–104.CrossrefGoogle Scholar
  • Strum DP, Sampson AR, May JH, Vargas LG (2000) Surgeon and type of anesthesia predict variability in surgical procedure times. Anesthesiology 92(5):1454–1466.CrossrefGoogle Scholar
  • Strum DP, May JH, Sampson AR, Vargas LG, Spangler WE (2003) Estimating times of surgeries with two component procedures: Comparison of the lognormal and normal models. Anesthesiology 98(1):232–240.CrossrefGoogle Scholar
  • Testi A, Tanfani E, Torre G (2007) A three-phase approach for roperating theatre schedules. Health Care Management Sci. 10(2): 163–172.CrossrefGoogle Scholar
  • Turner JP, Rodriguez HE, DaRosa DA, Daskin MS, Hayman A, Mehrotra S (2013) Northwestern University Feinberg School of Medicine uses operations research tools to improve surgeon training. Interfaces 43(4):341–351.LinkGoogle Scholar
  • Vissers JMH, Adan IJBF, Bekkers JA (2005) Patient mix optimization in tactical cardiothoracic surgery planning: A case study. J. Management Math. 16(3):281–304.Google Scholar
  • Wachtel RE, Dexter F, Lubarsky DA (2005) Financial implications of a hospitals specialization in rare physiologically complex surgical procedures. Anesthesiology 103(1):161–167.CrossrefGoogle Scholar
  • 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. Anaesthesiology 31(7):363–370.CrossrefGoogle Scholar
  • Zhou J, Dexter F, Macario A, Lubarsky DA (1999) Relying solely on historical surgical times to estimate accurately future surgical times is unlikely to reduce the average length of time cases finish late. J. Clinical Anesthesia 11(7):601–605.CrossrefGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.