• 한국병원경영학회지
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• 제18권3호
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• pp.43-61
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• 2013

The purpose of this study is to analyze the relations between publicness and profitability of national university hospitals in Korea. Finance and management data from 2008 to 2010 were collected from balancing accounts and annual reports in 13 national university hospitals. The dependant variables are used profitability indicators which are operating margin, net profit to gross revenues, normal profit to gross revenues. The independent variables are publicness indicators which are medical social work, ratio of medical aid in inpatients, ratio of medical aid in outpatients, publicness index. The results show that operating margin, net profit to gross revenues in profitability indicators are affected by medical social work in publicness indicators. Normal profit to gross revenues in profitability indicators is strong related to medical social work and hospital province in publicness indicators. Based on these results, this study suggests implications to balance the publicness and the profitability in national university hospitals.

• 보건의료산업학회지
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• 제8권2호
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• pp.1-10
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• 2014

This study examined nonpatient revenues of university hospitals in korea. The data source for this study was 22 university hospitals over the period 2010-2012. In this study, patient revenues, patient expenses, operating profit, nonpatient revenues, total revenues, operating margin, normal profit to gross revenues, ratio of the nonpatient revenues in the total revenues were analysed by the annual and three-year average. The analysis of nonpatient revenue differences by hospital type, bed size, location, management performance was performed by T-test and oneway ANOVA. The results were as follows. First, nonpatient revenues of university hospitals were increased during the period 2010-2012. Second, nonpatient revenues according to hospital type, bed size, location in the university hospitals had significant difference. Third, hospital type was significantly associated with normal profit to gross revenues which was profitability index about nonpatient revenues. Based on these results, this study suggests implications to diversify for management performance in hospitals.

• 한국병원경영학회지
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• 제9권2호
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• pp.102-127
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• 2004

The objective of this study is to analyze a current trend of and relating factors on profitability of the Korean Public Corporation Medical Centers(KPCMCs, hereinafter, hospitals) in Korea. There are 34 hospitals in Korea as of 2004. Among these hospitals some are red ink hospitals, others are black inks in terms of profitability. Data were collected by Korea Health Industry Development Institute(KHIDI) Statistics for Hospital Management 2000-2002 and Ministry of Health and Welfare(MOHW) financial data of public hospitals which was planned to coordinate public health care services roadmap in the long run. The samples are 32 hospitals. Profitability was measured in the aspect of profit rate with normal profit to total assets, and normal profit to gross revenues as dependent variables in respective. Independent variables were classified by general factors, i.e., location, intern/resident training, period of opening, number of beds, and managerial factors(current ratio, fixed ratio, liability to total assets, total assets turnover, personnel costs, materials cost, administrative cost), and finally factors related to patient treatment(average length of stay, bed occupancy rate, admission ratio of outpatients). The methods of analysis are correlation and multiple regression analysis. This study shows firstly, a lot of hospitals are optimal current ratio. Hospitals in upper 100% current ratio are 81.2%. And the personnel cost in total costs are high. Secondly, the trend of normal profit to gross revenues of hospitals are deteriorating gradually. And lastly, as a result of multiple regression analysis, the factors had on significant effect on normal profit to total assets are fixed ratio(+), liability to total assets(-), bed occupancy rate(+), admissions of outpatients(+), etc. And the factors had on significant effect on normal profit to gross revenues are current ration(+), fixed ratio(+), personnel cost(-), administrative expenses(-), admissions of outpatients(+), etc. In conclusion, to improve the profitability of hospitals, the efforts to reduce personnel cost and average length of stay might be needed. And also beds utilization rate need to be increased.

• 디지털융복합연구
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• 제18권1호
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• pp.249-255
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• 2020

본 연구는 공공의료기관의 경영성과와 공공성의 관계를 분석하기 위해 2015-2017년의 13개 국립대병원의 결산서와 연보를 통하여 자료를 수집하였다. 연구결과 공익성지수는 의료수익순이익율, 의료수익의료이익율에 유의한 음(-)의 관계로 나타났다. 의료사회사업비는 의료수익경상이익율, 의료수익순이익율에 유의한 양(+)의 영향력이 있는 것으로 나타났다. 그리고 국립대학교병원은 지역에 따라 의료수익경상이익율에 유의한 영향력을 미치는 것으로 나타났다. 본 연구 대상인 국립대학교병원이 의료의 공공성 분야에서 민간의료기관 대비 어떤 차별화된 사업을 수행하고 있는지 객관적인 평가와 총체적 점검이 필요하다. 그리고 이를 바탕으로 국립대학교병원의 설립 목적에 맞는 역할의 재정립이 필요하다.

• 보건행정학회지
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• 제20권3호
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• pp.123-137
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• 2010

The main purpose of this article is for deriving functions related to the prediction of the closure of the hospitals, and finding out how the discriminant functions affect the closure of the hospitals. Empirical data were collected from 3 years financial statements of 41 private hospitals closed down from 2000 till 2006 and 62 private hospitals in business till now. As a result, the functions related to the prediction of the closure of the private hospital are 4 indices: Return on Assets, Operating Margin, Normal Profit Total Assets, Interest expenses to Total borrowings and bonds payable. From these discriminant functions predicting the closure, I found that the profitability indices - Return on Assets, Operating Margin, Normal Profit Total Assets - are the significant affecting factors. The discriminant functions predicting the closure of the group of the hospitals, 3 years before the closure were Normal Profit to Gross Revenues, Total borrowings and bonds payable to total assets, Total Assets Turnover, Total borrowings and bonds payable to Revenues, Interest expenses to Total borrowings and bonds payable and among them Normal Profit to Gross Revenues, Total borrowings and bonds payable to total assets, Total Assets Turnover, Total borrowings and bonds payable to Revenues are the significant affecting factors. However 2 years before the closure, the discriminant functions predicting the closure of the hospital were Interest expenses to Total borrowings and bonds payable and it was the significant affecting factor. And, one year before the closure, the discriminant functions predicting the closure were Total Assets Turnover, Fixed Assets Turnover, Growth Rate of Total Assets, Growth Rate of Revenues, Interest expenses to Revenues, Interest expenses to Total borrowings and bonds payable. Among them, Total Assets Turnover, Growth Rate of Revenues, Interest expenses to Revenues were the significant affecting factors.

• 한국콘텐츠학회논문지
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• 제13권12호
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• pp.348-356
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• 2013

본 연구는 전국 11개 국립대병원의 2008-2012년 자료를 이용하여 병원의 의료외수익에 관한 다각적인 분석을 시도하였다. 병원의 의료수익, 의료비용, 의료이익, 의료외수익, 총수익, 의료수익의료이익율, 의료수익경상이익율, 총수익대비의료외수익비율의 연도별 변화와 경영성과, 병상수, 지역에 따른 의료외수익의 차이가 주요 분석대상이다. 본 연구의 주요 결과를 제시하면, 국립대병원의 의료외수익은 2008-2012년 동안 지속적으로 증가하는 것으로 나타났다. 경영성과에 따른 의료외수익은 유의한 차이가 없는 것으로 나타났으며, 병상수가 많고 대도시에 위치할수록 의료외수익의 규모가 큰 것으로 나타났다. 본 연구의 결과는 병원의 수익성 다각화를 통해 경영 개선을 제고하기 위한 객관적 자료로 활용될 수 있을 것이다.

• Journal of Preventive Medicine and Public Health
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• 제31권3호
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• pp.490-502
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• 1998

본 연구는 우리 나라 병원도산 예측모형을 도출하기 위한 연구로 1992년에서 1997년 사이 5년간의 전국 병원 경영통계 자료를 이용하여 1995년부터 1997년 사이에 도산한 병원중도산전 3년까지의 연속된 자료가 있는 31개 병원을, 비교군 병원은 도산병원과 유사한 병상규모를 가지고 당기순이익이 발생한 31개 우량병원을 선정하여 단계적 판별분석에 의한 실증연구를 시행하였다. 본 연구의 구체적 연구결과는 다음과 같다. 첫째, 도산전 각 연도별로 도산병원과 우량병원간에 연구변수의 단순 평균치분석 결과, 자본구조 지표인 자기자본비율과 수익성지표인 총자본의료이익을, 의료수익의료이익을, 총자본경상이익을, 의료수익경상이익율, 총자본순이익을 등은 도산 1, 2, 3년전 모두에서 도산병원과 우량병원간에 유의한 차이를 보였다. 자본고정성지표는 도산 1년전에 고정비율이 유의한 차이를 보였고, 유동성지표는 도산 1년전에는 유동비율과 당좌비율이 유의한 차이를 보였고 도산 2년전에는 당좌비율만이 유의한 차이를 보였다. 활동성지표로는 도산 1년전에 총자본회전율과 재고자산회전율이 유의한 차이를 보였고 도산 2년전에는 총자본회전율과 의료미수금회전율이, 도산 3년전에는 의료미수금회전율만이 유의한 차이를 보였다. 생산성지표로는 도산 2년전에 총자본투자효율이, 도산 3년전에는 조정환자1인당 부가가치가 유의한 차이를 보였다. 진료실적지표로는 도산 3년전 일평균재원환자수가 유의한 차이를 보였다. 둘째, 도산 1, 2, 3년전 판별함수는 각각 도산 1년전 Z=($0.0166\times$당좌비율)-($0.1356\times$총자본경상이익을)-($1.545\times$총자본회전을), 도산 2년전 Z=($0.0119\times$당좌비율)-($0.1433\times$총자본의료이익율)-($0.0227\times$총자본투자효율), 도산 3년전 Z=($0.3533\times$총자본순이익율)-($0.1336\times$의료미수금회전율)-($0.04301\times$조정환자1인당부가가치)+($0.000119\times$일평균재원환자수)이었다. 셋째, 도출된 도산 1, 2, 3년전 각 판별함수의 예측력은 77.42%, 79.03%, 82.25% 이었다.