A Study on the Performance of Medical Centers in Taiwan: An Application of Data Envelopment Analysis
List of Authors
  • Y.H. Lai

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Abstract
  • Background: The hospital industry in Taiwan has become more competitive than ever before. Improving operational performance is thus an important issue for hospital managers or operators. Methods: The research data of this study is the 2019 National Health Insurance Statistics obtained from National Health Insurance Administration, Ministry of Health and Welfare (Taiwan). The efficiency and productivity of hospital performance were evaluated by input-oriented Data Envelopment Analysis (DEA). Two inputs variables (number of doctors, number of beds) and five outputs variables (number of outpatients, outpatient revenues, number of inpatients, inpatient revenues, number of admission days) were adopted in the DEA model. Results: According to the DEA analysis, 8 hospitals are considered efficient. With super-efficiency, efficiency can be detected in more detail. Conclusion: This study combines DEA results efficiency scores and total medical income into a BCG matrix. There are 6 hospitals in the super star group, 7 hospitals in the cow group, 2 in the question marks group, and 4 in the dog group.


Reference
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