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Analyses of Medical Income of Public Hospitals Based on the Degree of Structural Variation in Jiangxi Province, China

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Advances in Decision Science and Management (ICDSM 2021)

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Abstract

Objective To analyze the changes of the medical income structure of public hospitals from 2012 to 2018 in Jiangxi province, China, and provide references for optimizing the medical income structure of public hospitals and controlling the unreasonable growth of medical expenses. Methods Degree of structural change is employed to analyze the changes in the structure of outpatient income and inpatient income of public hospitals from 2012 to 2018 in Jiangxi province, China. Results From 2012 to 2018, the variation degree of outpatient income structure in public hospitals in Jiangxi province was 26.87%, with an average annual change rate of 4.48%. Western medicine income, diagnosis income and test income are the main factors that constitute the change of outpatient income while registration income has the least influence. The structural change of inpatient income was 38.34%, and the annual structural change was 6.39%. The income from western medicine, sanitary materials and test was the main factors of inpatient income change, while the income from operation had the least influence. Conclusion The income of western medicine has the greatest influence on the medical income of public hospitals in Jiangxi province, while the income of projects reflecting the labor value of medical technicians has the least influence. Fees for medical services should be optimized. Medical treatment, medicine and medical insurance should be coordinated, and a scientific and reasonable compensation mechanism for medical services in public hospitals should be established.

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Correspondence to Junshan Li .

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Wu, Y., Li, J. (2022). Analyses of Medical Income of Public Hospitals Based on the Degree of Structural Variation in Jiangxi Province, China. In: Wang, T., Patnaik, S., Ip, A.W., Tavana, M. (eds) Advances in Decision Science and Management. ICDSM 2021. Advances in Intelligent Systems and Computing, vol 1391. Springer, Singapore. https://doi.org/10.1007/978-981-16-2502-2_42

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