Medical Education Management ›› 2021, Vol. 7 ›› Issue (4): 450-455.doi: 10.3969/j.issn.2096-045X.2021.04.020

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Application of generalized fuzzy DEA model in optimal allocation of regional medical resources

Ruan Yilei   

  1. Party Committee Office, Tiantan Hospital, Capital Medical University, Beijing 100070, China
  • Received:2021-04-19 Online:2021-08-20 Published:2021-09-02

Abstract: Objective  By establishing a cooperative decision-making model for public hospitals, to select the best partner among optional decision-making units, to improve the efficiency of medical resource utilization, and to promote the best allocation of medical resources in the region. Methods  Based on the traditional data envelopment analysis (DEA) model, a generalized fuzzy DEA cooperative decision-making model with better applicability to fuzzy indicators and optional decision-making units is constructed. This model inputs the total number of employees, the number of beds, and the number of years index information including the number of outpatient and emergency services, the number of discharged patients, total income, and hospital grade evaluation, and calculates the cooperation efficiency range of different hospitals in a certain area, so as to realize the scientific selection of the best partner among optional decision-making units.  Results  The analysis and verification of 10 hospitals in a certain area of Henan Province as an example shows that the generalized fuzzy DEA model has a good effect on the cooperative decision-making between public hospitals in the area, and it can effectively choose the best partner for any hospital in the area.  Conclusion  Compared with the traditional DEA model, the generalized fuzzy DEA model is more flexible, can better evaluate complex models, can realize the optimal cooperative decision-making choice for the individuals in the optional decision-making units, and provide decision-making for realizing the optimal allocation of regional medical resources.

Key words: generalized fuzzy data envelopment analysis, medical resources, cooperative decision-making model, optimal allocation

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