A hybrid multi-criteria decision making model for elective admission control in a Chinese public hospital

Abstract In healthcare service systems, patients are not always served in the order they arrive, but are ranked with respect to their relative “importance” and “urgency” to the service system. We consider such a system where elective admission requests backlogged on a list wait to be assigned inpatient beds. To consolidate the performance of Classified Diagnose and Treatment in China, determining an optimal admission priority assignment policy for all waiting patients is vital. It is a complicated multi-criteria decision making (MCDM) problem involving both qualitative and quantitative criteria. Evaluating the admission priority of each patient is based on vague information or uncertain data in which significant dependence and feedback between the evaluation dimensions and criteria may exist. This paper applies a hybrid MCDM model that integrates the 2-tuple DEMATEL technique and the fuzzy VIKOR method to the elective admission control problem. It makes use of the modified 2-tuple DEMATEL to determine the relative weights of the evaluation criteria and the fuzzy VIKOR method to assess the alternatives (waiting patients) over the criteria. An empirical case in West China Hospital is presented to demonstrate the applicability of the proposed approach. Sensitivity analysis of the results by the proposed hybrid MCDM model and comparative analysis with other different approaches are presented. The results show that the proposed model is effective and provides insightful implications for hospital managers to refer.

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

[2]  Huchang Liao,et al.  A multiple attribute group decision making method based on two novel intuitionistic multiplicative distance measures , 2018, Inf. Sci..

[3]  G H Huang,et al.  A fractional-factorial probabilistic-possibilistic optimization framework for planning water resources management systems with multi-level parametric interactions. , 2016, Journal of environmental management.

[4]  Huchang Liao,et al.  Inpatient admission assessment in West China Hospital based on hesitant fuzzy linguistic VIKOR method , 2016, J. Intell. Fuzzy Syst..

[5]  E. Ertugrul Karsak,et al.  Assessment of health-care waste treatment alternatives using fuzzy multi-criteria decision making approaches , 2011 .

[6]  Chi-Jen Lin,et al.  A causal analytical method for group decision-making under fuzzy environment , 2008, Expert Syst. Appl..

[7]  Hu-Chen Liu,et al.  Assessment of health-care waste disposal methods using a VIKOR-based fuzzy multi-criteria decision making method. , 2013, Waste management.

[8]  Francisco Herrera,et al.  A 2-tuple fuzzy linguistic representation model for computing with words , 2000, IEEE Trans. Fuzzy Syst..

[9]  Huchang Liao,et al.  A Multigranularity Linguistic Group Decision‐Making Method Based on Hesitant 2‐Tuple Sets , 2016, Int. J. Intell. Syst..

[10]  Zeshui Xu,et al.  A VIKOR-based method for hesitant fuzzy multi-criteria decision making , 2013, Fuzzy Optimization and Decision Making.

[11]  Wallace J. Hopp,et al.  Complexity-Augmented Triage: A Tool for Improving Patient Safety and Operational Efficiency , 2013, Manuf. Serv. Oper. Manag..

[12]  Tsung-Han Chang Fuzzy VIKOR method: A case study of the hospital service evaluation in Taiwan , 2014, Inf. Sci..

[13]  Ting Zhu,et al.  Time-Series Approaches for Forecasting the Number of Hospital Daily Discharged Inpatients , 2017, IEEE Journal of Biomedical and Health Informatics.

[14]  Xuanming Su,et al.  Patient Choice in Kidney Allocation: The Role of the Queueing Discipline , 2004, Manuf. Serv. Oper. Manag..

[15]  Inbal Yahav,et al.  Modeling Kidney Allocation: A Data-Driven Optimization Approach , 2011 .

[16]  Serafim Opricovic,et al.  Fuzzy VIKOR with an application to water resources planning , 2011, Expert Syst. Appl..

[17]  Xuanming Su,et al.  Patient Choice in Kidney Allocation: A Sequential Stochastic Assignment Model , 2005, Oper. Res..

[18]  Lawrence M. Wein,et al.  Dynamic Allocation of Kidneys to Candidates on the Transplant Waiting List , 2000, Oper. Res..

[19]  Mark P. Van Oyen,et al.  Design and Optimization Methods for Elective Hospital Admissions , 2014, Oper. Res..

[20]  Shuo Wang,et al.  A multi-level Taguchi-factorial two-stage stochastic programming approach for characterization of parameter uncertainties and their interactions: An application to water resources management , 2015, Eur. J. Oper. Res..

[21]  Zeshui Xu,et al.  Hesitant Fuzzy Linguistic VIKOR Method and Its Application in Qualitative Multiple Criteria Decision Making , 2015, IEEE Transactions on Fuzzy Systems.

[22]  Bo Feng,et al.  Identifying risk factors of IT outsourcing using interdependent information: An extended DEMATEL method , 2012, Expert Syst. Appl..

[23]  Francisco Herrera,et al.  Hesitant Fuzzy Linguistic Term Set and Its Application in Decision Making: A State-of-the-Art Survey , 2017, International Journal of Fuzzy Systems.

[24]  David Claudio,et al.  Utility function-based patient prioritisation in the emergency department , 2010 .

[25]  Gülçin Büyüközkan,et al.  A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers , 2012, Expert Syst. Appl..

[26]  Huchang Liao,et al.  A Bibliometric Analysis of Fuzzy Decision Research During 1970–2015 , 2016, International Journal of Fuzzy Systems.

[27]  R. Wiesner,et al.  Model for end-stage liver disease (MELD) and allocation of donor livers. , 2003, Gastroenterology.

[28]  Eun-Sung Chung,et al.  Group decision-making approach for flood vulnerability identification using the fuzzy VIKOR method , 2014 .

[29]  A. Andersson,et al.  Triage in the emergency department--a qualitative study of the factors which nurses consider when making decisions. , 2006, Nursing in critical care.

[30]  Gül E. Okudan Kremer,et al.  Patient Sorting Through Emergency Severity Index and Descriptive Variables’ Utility , 2010 .

[31]  Christiane Barz,et al.  Elective Patient Admission and Scheduling under Multiple Resource Constraints , 2015 .

[32]  Serhan Ziya,et al.  Priority Assignment Under Imperfect Information on Customer Type Identities , 2009, Manuf. Serv. Oper. Manag..

[33]  Hui Li,et al.  Risk assessment in system FMEA combining fuzzy weighted average with fuzzy decision-making trial and evaluation laboratory , 2015, Int. J. Comput. Integr. Manuf..

[34]  Jean-Luc Marichal,et al.  An axiomatic approach of the discrete Choquet integral as a tool to aggregate interacting criteria , 2000, IEEE Trans. Fuzzy Syst..

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

[36]  Zeshui Xu,et al.  Choquet integrals of weighted intuitionistic fuzzy information , 2010, Inf. Sci..

[37]  Shuo Wang,et al.  An Inexact Probabilistic–Possibilistic Optimization Framework for Flood Management in a Hybrid Uncertain Environment , 2015, IEEE Transactions on Fuzzy Systems.

[38]  Melvyn Sim,et al.  A Robust Optimization Model for Managing Elective Admission in a Public Hospital , 2015, Oper. Res..

[39]  Omar M. Ashour,et al.  Dynamic patient grouping and prioritization: a new approach to emergency department flow improvement , 2016, Health care management science.