• 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.

• 벤처창업연구
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• 제7권2호
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• pp.35-44
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• 2012

본 논문은 경영환경이 어려워지고 있는 우리나라 대학부속 한방병원의 수익변화를 재무제표 분석을 통해 살펴봄으로써 한방병원 경영자 및 관계자들에게 의사결정에 필요한 정보를 제공하고자 한다. 2008년과 2010년을 비교한 결과, 조사대상 한방병원의 총자산 감소, 부채증가 그리고 총의료수익 감소와 지속적인 병원적자 등을 알 수 있었으며, 자기자본비율이 높고 차입금의존도가 낮아 전체적으로 경영상태가 양호한 것으로 나타나지만 일부 병원은 심각한 경영난을 겪었으며 이를 일시적으로 극복하기 위하여 단기차입금에 의존하고 있음이 파악되었다. 총자본수익률과 고유목적사업적립금 및 전출금 등이 고려된 총자본의료이익률은 시중금리 수준이었으나 병원간 편차가 심하며 3년 연속 (-)인 병원이 6개, 매출액의료이익률이 (-)인 병원도 10개로 나타나 수익성에 문제가 있음을 알 수 있었다. 한편 대학부속 한방병원 중 총자본과 자기자본이 감소한 병원이 늘어났고 병원 간에도 큰 차이가 있었다. 병원의 자기자본이 감소한 것은 한방병원의 성장이 크게 위축되고 있음을 의미한다. 총자본회전수는 우리나라 한방병원과 3차 의료기관 보다도 낮아 대학부속 한방병원의 활동성이 떨어짐을 보였다. 자기자본회전수는 총자본회전수보다 높았고, 타인자본 비율은 높지 않았으나 병원 간 편차가 컸다.

• 한국병원경영학회지
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• 제10권1호
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• pp.71-92
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• 2005

The purpose of this study is to analyze the efficiency in management of general hospitals and investigate the major factors on efficiency. Specifically, the management of each general hospital is evaluated by using Data Envelopment Analysis(DEA) technique which is a nonparametric statistical method for measurement of efficiency. Then, the influencing factors are investigated through analyses of Decision-Tree Model and Tobit Regression. The target hospitals were general hospitals in which bed sizes are between 200 and 500 among a total of 276 general hospitals. The main data of financial indicators were collected from 48 hospitals, and it was analyzed by using two statistical models. For Model I, three input and two output variables were used for efficiency evaluation. In particular, three input variables were the number of medical doctors, the number of paramedical personnel, and the bed size. And, two output variables were the numbers of inpatients and outpatients per year, adjusted by bed-size. The results of DEA analysis showed that only seven out of 48 hospitals(15%) turned out to be efficient. The decision-tree analysis also showed that there were six significant influencing factors for Model I. Six factors for Model I were Bed Occupancy Rate, Cost per Adjusted Inpatient, New Visit Ratio of Outpatients, Retired Ratio, Net Profit to Gross Revenues, Net Profit to Total Assets. In addition, the management efficiency of hospital is proved to increase as profit and patient-induced indicators increase and cost-related indicators decrease, by the Tobit regression model of independent variables derived from the decision-tree analysis. This study may be contributable to the development of analytic methodology regarding the efficiency of hospital management in that it suggests the synthetic measures by utilizing DEA model instead of suggesting simple ratio-analyzing results.

• 한국병원경영학회지
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• 제8권4호
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• pp.149-181
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• 2003

It has been asserted that per diem payment system should be introduced, in place of the current fee-for-service system, for payment of the inpatient services of the geriatric hospitals, Based on the assentation, this study aims at calculating costs and profits per inpatient-day of the geriatric hospitals, and thereby at contributing to the managerial improvement from the both sides of the Government and the hospitals. Relevant data of the three months, May to August, 2002 were collected from the five geriatric hospitals, and per inpatient-day costs and profits were calculated for the three disease groups. Major results and conclusions are as follow : Firstly, total costs per insured inpatient-day of the geriatric hospitals are 65, 389 won for dementia (including optimal profit of 3,858 won), 69,730 won for stroke (including optimal profit of 4,117 won), and 70,085 won for other diseases (including optimal profit of 4,134 won). Secondly, the amount of the non-insured costs per inpatient-day occupies 34.5% of the total costs for dementia, 30.3% for stroke, and 30.1% for other diseases. Thirdly, the total amount of the per inpatient-day costs calculated including the optimal profits is, on the average, higher by 12% than the present price level calculated for the current fee-far-service system. This implies that the present price level should rise by 12% when the current fee-far-service payment system be maintained, and Finally, introduction of a sliding-scale payment system should be considered for the inpatient medical management fees for the length of stay over six months or more that are being cut in the claim examination process by the insurance corporation.

• 보건행정학회지
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• 제9권2호
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• pp.1-20
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• 1999

This study was conducted to investigate the predictors of hospital bankruptcy in Korea and to examine the predictive power for 3 types of statistical models of hospital bankruptcy. Data on 17 financial and 4 non-financial indicators of 30 bankrupt and 30 profitable hospitals in 1. 2, and 3 years before bankruptcy were obtained from the hospital performance databank of Korea Institute of Health Services Management. Significant variables were identified through mean comparison of each indicator between bankrupt and profitable hospitals, and the predictive power of statistical models of hospital bankruptcy were compared. The major findings are as follows. 1. Nine out of 21 indicators - fixed ratio, quick ratio, operating profit to total assets, operating profit to gross revenue, normal profit to total assets,normal profit to gross revenue, net profit to gross revenue, inventories turnrounds, and added value per adjusted patient - were found to be significantly predictitive variables in Logit and Probit models. 2. The predicdtive power of discriminant model of hospital bankruptcy in 1. 2, and 3 years before bankruptcy were 85.4, 79.0, and 83.8% respectively. With regard to the predictive power of the Logit model of hospital bankruptcy, they were 82.3, 75.8, and 80.6% respectively, and of the Probit model. 87.1. 80.6, and 88.7% respectively. 3. The predictive power of the Probit model of hospital bankruptcy is better than the other two predictive models.

• 보건행정학회지
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• 제18권2호
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• pp.19-38
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• 2008

Financial ratios are key indicators of an organization's financial and business conditions. Among various financial indicators, profitability, financial structure, financial activity and liquidity ratios are frequently used and analyzed. Using the structural equation modeling(SEM) technique, this study examines the structural causal relationships among key financial indicators. Data for this study are taken from complete financial statements from 142 hospitals that passed the standardization audit undertaken by the Korean Hospital Association from 1998 to 2001 for the purpose of accrediting teaching hospitals. In order to improve comparability, ratio values are standardized using the Blom's normal distribution. The final model of the SEM has four latent constructs: financial activity(total asset turnover, fixed asset turnover), liquidity(current ratio, quick ratio, collection period), financial structure(total debt to equity, long-term debt to equity, fixed assets to fund balance), and profitability(return on assets, normal profit to total assets, operating margin to gross revenue, normal profit to gross revenue). While examining several model fit indices(Chi-square (df) = 178.661 (40), likelihood ratio=4.467, RMR=.11, GFI=.849, RMSEA=.157), the final SEM we employed shows a relatively good fit. After examining the path coefficient of the constructs, the financial structure of the hospital affects the hospital's profitability in a statistically significant way. A hospital which utilizes its liabilities, more specifically fixed liabilities, and makes a stable investment decision for fixed assets was found to have a higher profitability than other hospitals. Then, the standard path coefficients were examined to directly compare the influence of variables. It was found that there were no statistically significant path coefficients among constructs. When it comes to variables, however, statistically significant relationships were found. between. financial activity and. fixed. asset turnover, and between profitability and normal profit to gross revenue. These results show that the observed variables of fixed asset turnover and normal profit to gross revenue can be used as indicators representing financial activity and profitability.

• 융합정보논문지
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• 제10권11호
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• pp.324-331
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• 2020

본 연구는 의료기관 회계정보 공시시스템에 등록된 29개 지방의료원의 재무정보를 이용하여 지방의료원들이 경영활동 운영자금 조달방법별 조달비율과 이들이 당기순이익에 어떠한 영향을 미치는지를 분석하였다. 연구결과, 지방의료원들의 경영활동 운영자금 조달비율은 의료수익 83.50%, 의료부대수익9.53%, 기부금수익 4.54%, 기타 의료외 수익 4.42%, 감가상각비 1.21%, 고유목적사업준비금 전입액 0.73%이었다. 지방의료원들의 경영활동 운영자금 조달방법들이 당기순이익에 미치는 영향을 살펴본 결과 의료수익, 의료부대수익, 기부금수익, 기타 의료외수익에 의한 운영자금 조달비율이 당기순이익에 긍정적인 영향을 미쳤으며, 고유목적사업준비금 전입액에 의한 조달비율이 당기순이익에 부정적인 영향을 미치는 것으로 확인되었다. 따라서 지방의료원들이 바람직한 경영활동을 위해서는 비용관리에 있어서 자체발생수익, 내부에 유보할 수 있는 자금 등을 고려할 필요성이 제기된다.

• 경영과정보연구
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• 제38권4호
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• pp.25-39
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• 2019

본 연구는 의료기관의 회계정보공시 자료 즉, 재무상태표와 손익계산서를 활용하여 의료기관의 재무비율을 통한 안정성비율, 수익성비율, 성장성비율, 활동성비율을 분석함으로서 병원의 수익성지표에 영향을 미치는 요인과 재무비율 특성을 분석하고자 하였다. 주요 목표는 의료기관의 회계정보공시 자료의 2016년과 2017년도 재무제표를 분석하며 의료기관의 설립형태 및 종별, 규모별의 일반적 특성 및 재무비율의 평균 차이 분석을 실시, 재무지표에 대한 평균값을 통해 의료기관의 재무적 특성을 파악하였다. 재무비율을 통한 안정성비율, 수익성비율, 성장성비율, 활동성비율의 평균 비교 분석 및 재무적 특성을 파악하였다. 또한 개정된 의료회계기준규칙에 의한 의료기관의 회계정보공시 자료를 활용하여 의료기관의 의료수익의료이익률, 총자산의료이익률, 의료수익순이익률, 총자산순이익률에 대해 회귀분석을 하였다. 주요결과를 보면 회계정보공시 자료에는 첫째, 재무상태표 통한 총자산, 총부채, 자본총계의 변화를 통한 병원의 규모 및 부채의 규모는 증가 추세이며 자본총계의 규모가 상대적으로 감소되었으며 또한 경영성과가 악화되는 경향을 보이고 있다. 둘째, 손익계산서에서 평균 의료수익의 증가는 미비한 편이며, 평균 당기순이익은 감소하는 편이다. 이에 의료기관은 의료 활동을 통한 이익 창출의 어려움을 확인할 수 있었다. 또한 의료기관의 종별에 따라 상급종합병원과 종합병원의 부채비율, 안정성비율, 수익성 비율의 차이가 컸으며, 설립형태에 따라서 국공립병원, 학교법인병원, 의료법인·재단법인병원의 평균 재무비율의 차이를 확인할 수 있었다. 병원경영의 수익성지표에 미치는 영향을 파악하여 병원의 의료수익순이익률과 총자산순이익률의 경영 성과 개선을 위한 노력이 필요하다.

• The Journal of Asian Finance, Economics and Business
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• 제9권4호
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• pp.273-285
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• 2022

Using data from a departmental profit and loss management questionnaire survey conducted for a group of hospitals consisting of various establishment entities, this study evaluates the effectiveness of departmental profit and loss management practices, such as break-even analysis, based on objective performance data. The study also examines whether the implementation of departmental profit and loss accounting is still effective in improving profitability in the financial year 2021 and whether the effectiveness of the implementation of departmental profit and loss accounting is robust. This study reconfirmed that the implementation of departmental profit-and-loss accounting has a positive effect on objective financial performance in hospitals and that the effect of improving profitability can be enhanced by implementing it monthly with high frequency and regularity and by using the accounting results more actively. It was also found that the department's implementation of break-even analysis had a positive impact on financial performance, which was enhanced by more active use of the data. Given the current economic climate, a hospital organization's active participation in income statement management, not only for the hospital as a whole but also for each department, would be an effective management activity.