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A Feasible Method to Implement Shared Decision Making in Routine Practice

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Proceeding of the 24th International Conference on Industrial Engineering and Engineering Management 2018

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Abstract

The paper proposes a method to incorporate the patient, physician, and general people into the shared decision making system, the method is a combination of conjoint analysis and fuzzy multi-attribute group decision making. Firstly, The preferences of various decision makers are analyzed by the conjoint analysis, secondly, the decision makers evaluate the treatment regimens with the triangular fuzzy number, then the method of ideal point is used to obtain the ideal treatment regimen, finally the relapsed or refractory chronic lymphoblastic leukemia treatment decision making is taken as an example of this method’s specific application, the results show that the applicability of the method proposed by the paper is strong.

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Acknowledgements

This research is supported by National Natural Science Foundation of China (No. 71171142) and Tianjin Philosophy and Social Sciences Research Planning Project (No. TJGL16-013Q).

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Authors and Affiliations

  1. College of Management and Economics, Tianjin University, Tianjin, China

    Jun-xian Wang & Zi-xian Liu

  2. School of Management, Tianjin University of Traditional Chinese Medicine, Tianjin, China

    Li-jun Liang

Authors
  1. Jun-xian Wang
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  2. Zi-xian Liu
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  3. Li-jun Liang
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Corresponding author

Correspondence to Jun-xian Wang .

Editor information

Editors and Affiliations

  1. Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong, Hong Kong

    George Q. Huang

  2. Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan

    Chen-Fu Chien

  3. Department of Information Management and Management Science, Tianjin University, Tianjin, China

    Runliang Dou

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Wang, Jx., Liu, Zx., Liang, Lj. (2019). A Feasible Method to Implement Shared Decision Making in Routine Practice. In: Huang, G., Chien, CF., Dou, R. (eds) Proceeding of the 24th International Conference on Industrial Engineering and Engineering Management 2018. Springer, Singapore. https://doi.org/10.1007/978-981-13-3402-3_27

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