Prioritizing Surgical Cancellation Factors Based on a Fuzzy Best-Worst Method: A Case Study

Abstract Surgery is a potent source of income, and surgical cancellation is a significant issue for hospitals. Surgical cancellation costs a lot to both patients and hospitals. Reducing a surgical cancellation rate has a substantial effect on improving hospital management. This paper considers both the effects of surgical cancellation on patients and hospitals. In addition, it presents a fuzzy best-worst method (BWM) based on a failure mode and effect analysis (FMEA) method to evaluate surgical cancellation factors. To achieve this aim, the FMEA and three effective criteria are taken into consideration. The psychological impact of surgical cancellation is one of the effective criteria, which has never considered as the involved criterion. Finally, a real case study in a Shariati hospital in Tehran is conducted to demonstrate the application of the proposed method.

[1]  Mark Bernstein,et al.  Delays in the operating room: signs of an imperfect system. , 2010, Canadian journal of surgery. Journal canadien de chirurgie.

[2]  Mohammad A. Khalilzadeh,et al.  Risk evaluation using a novel hybrid method based on FMEA, extended MULTIMOORA, and AHP methods under fuzzy environment , 2018, Safety Science.

[3]  T. L. Saaty.  A Scaling Method for Priorities in Hierarchical Structures , 1977 .

[4]  Jian-Xin You,et al.  Evaluating health-care waste treatment technologies using a hybrid multi-criteria decision making model , 2015 .

[5]  Jian-Bo Yang,et al.  Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean , 2009, Expert Syst. Appl..

[6]  D. Sindhusake,et al.  Cancellation of operations on the day of intended surgery at a major Australian referral hospital , 2005, The Medical journal of Australia.

[7]  Mesut Kumru,et al.  Fuzzy FMEA application to improve purchasing process in a public hospital , 2013, Appl. Soft Comput..

[8]  Jin Wang,et al.  Modified failure mode and effects analysis using approximate reasoning , 2003, Reliab. Eng. Syst. Saf..

[9]  Zhang-peng Tian,et al.  Risk evaluation by FMEA of supercritical water gasification system using multi-granular linguistic distribution assessment , 2018, Knowl. Based Syst..

[10]  J. Rezaei.  Best-worst multi-criteria decision-making method , 2015 .

[11]  Wilton A. van Klei,et al.  The Effect of Outpatient Preoperative Evaluation of Hospital Inpatients on Cancellation of Surgery and Length of Hospital Stay , 2002, Anesthesia and analgesia.

[12]  Nalinee Chanamool,et al.  Fuzzy FMEA application to improve decision-making process in an emergency department , 2016, Appl. Soft Comput..

[13]  J. Rezaei.  Best-worst multi-criteria decision-making method: Some properties and a linear model , 2016 .

[14]  Ali Kokangul,et al.  Classical and fuzzy FMEA risk analysis in a sterilization unit , 2016, Comput. Ind. Eng..

[15]  Hao-Tien Liu,et al.  A fuzzy risk assessment approach for occupational hazards in the construction industry , 2012 .

[16]  A. Macario.  What does one minute of operating room time cost? , 2010, Journal of clinical anesthesia.

[17]  Sylvia Larsson,et al.  Patient reactions to cancelled or postponed heart operations. , 2002, Journal of nursing management.

[18]  Marc D Basson,et al.  Predicting Patient Nonappearance for Surgery as a Scheduling Strategy to Optimize Operating Room Utilization in a Veterans' Administration Hospital , 2006, Anesthesiology.

[19]  Richard Bellman,et al.  Decision-making in fuzzy environment , 2012 .

[20]  Howard B. Gutstein,et al.  Cancellation of pediatric outpatient surgery: Economic and emotional implications for patients and their families , 1997 .

[21]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[22]  Toktam Khatibi,et al.  A Fuzzy FMEA Approach to Prioritizing Surgical Cancellation Factors , 2013 .

[23]  Ali Nazeri,et al.  A new fuzzy approach to identify the critical risk factors in maintenance management , 2017 .

[24]  Sen Guo,et al.  Fuzzy best-worst multi-criteria decision-making method and its applications , 2017, Knowl. Based Syst..