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자료유형
학술저널
저자정보
최요한 (을지대학교 대학원 의료경영학과) 김영훈 (을지대학교 대학원 의료경영학과) 한휘종 (Department of Healthcare Management, Graduate School, Eulji University<affiliationid type="KISTI"> UU0001050</affiliationid>)
저널정보
한국병원경영학회 한국병원경영학회지 병원경영학회지 제24권 제2호
발행연도
2019.1
수록면
67 - 83 (17page)

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The aim of this study is to analyze the differences in the publicness indices depending on the environmental factors of regional public hospitals to derive the policy implications for improving management for regional public hospitals. The data of the 34 regional public hospitals from 2016 was used for the analysis. Major results of this study are as follows. First, the analysis of the differences in the scores of the medical safety net function showed significantly higher scores for regional public hospitals with a larger location, a larger number of hospitals in a unit area, a larger number of nurses per 100 beds, and the lower management fee ratio. Second, the analysis of the differences in the scores of the unmet healthcare needs showed significantly higher scores for regional public hospitals with a larger number of hospitals in a unit area, and a larger number of beds. Third, the analysis of the differences in the scores of the hospital-specialized services showed significantly higher scores for regional public hospitals with a larger location, a higher financial independence of the local government, a larger number of hospitals in a unit area, a larger number of beds, and a larger number of nurses per 100 beds. Major conclusions of this study are as follows. Consideration should be given to the appropriate number of nurses for each regional public hospital to maximize publicness by providing the appropriate amount of medical services, but not to incur unnecessary labor costs. In addition, efforts should be made to enhance profitability, which can be a means of strengthening publicness, by identifying the minimum administrative expenses required for efficient operation and reducing unnecessary administrative expenses. Finally, it is necessary to identify the appropriate number of beds to meet the needs of the customers and to create maximum profits.

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