A Health Promotion Center (HPC) whose capacity is partially idle causes inefficiency in resource usage of a country as well as the hospital itself. Meanwhile, Increased demand in HPC would lead to increased revenue for the HPC as well as reduced national expenditures on healthcare. We introduced a way to enhance revenue by Revenue Management (RM) on HPC services, in which demand forecasting and pricing strategies are considered. In addition, a real data analysis had been performed to evaluate the usefulness of the proposed approach.
This study applied Data Envelopment Analysis to a set of Korean Public Corporation Medical Centers and Japanese Municipal Hospitals to compare their relative human resource efficiencies. Based on the data provided on the inputs and outputs, the analysis showed Japanese municipal hospitals were relatively efficient than Korean hospitals. The result of analysing BCC model shows 5 hospitals in Japan and 7 in Korea with an efficiency rating of less than 1 as considered relatively inefficient. For the inefficient hospitals the manner in which inefficient hospitals may be made efficient were indicated by the managerial strategies based on dual variables. A subsequent analysis of Wilcoxon rank-sum test revealed that the medical revenue per medical expense, labor cost per value added revenue were statistically significant between efficient and inefficient Korean hospitals and medical revenue per medical expense, labor cost per value added revenue, bed occupancy rate, average length of stay, rate of personnel expenses per medical revenue were statistically significant between efficient and inefficient Japanese hospitals.
This study was conducted to analyze if there is a difference between the head hospital and branch hospital by comparing the profitability and operating expenses to patient revenue of oriental medicine hospitals affiliated with universities in order to find whether opening branch hospitals is an appropriate method to increase profitability. Profit indices used for the comparison of head hospital and branch hospital include ratio of operating profit on medical revenue, net-income on medical revenue, net profit to total assets, and operating profit to total assets; and cost indices included ratio of labor costs, material costs and administrative costs. In comparison of profit indices of head hospitals and branch hospitals, head hospitals displayed negative(-) in all four profit index averages while branch hospitals displayed positive(+), showing that branch hospitals have higher profitability. In particular, in the case of head hospitals, ratio of net profit to total assets was -13.6%, while that of branch hospitals was 12.9%, which was higher than 3.1%, the average of Korean oriental medicine hospitals in 2011. As a result of difference analysis between groups of head hospitals and branch hospitals, profit indices of ratio of operating profit on medical revenue, net-income on medical revenue, and ratio of net profit to total assets were found to vary by hospitals, but there was no statistically significant difference between head hospitals and branch hospitals(p<0.1). Only the ratio of operating profit to total assets of head hospitals and branch hospitals indicated significant difference between the two groups, showing that ratio of operating profit to total assets of branch hospitals is larger than that of head hospitals. Meanwhile, the cost indices of ratio of labor costs, material costs and administrative costs in the difference test results did not show significant difference between the head hospital and branch hospital(p<0.1). Thus, it cannot be said that a certain oriental medicine hospital's profitability is high or low depending on whether it is head hospital or a branch as profitability varies depending on the management environment of the hospital. Therefore, oriental medicine hospitals affiliated with universities would need to make efforts to increase their profitability as an individual hospital rather than focusing on whether they are head hospital or a branch.
The main purpose of this study is to examine the overall procedure of hospital's internal review of health insurance reimbursement, to present the case of protest against reimbursement cut, and hence to provide some information on hospital's management of medical revenue. The object of the case study is 'P' university medical center, possessing 5 different hospitals under its system. Presentation of the case of protest against reimbursement cut has following meanings: Firstly, to the hospitals that already have internal review departments, information on the details of the protest process and results can be exchanged. Secondly, to the Government and National Health Insurance Corporation, useful data are provided for the improvement of the rules and procedures of health insurance reimbursement. Thirdly, to the hospitals without internal review departments, fundamental materials on the internal review process are provided for the effective management of medical revenue.
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.
This study was designed to find out the factors which influence on the financial performance of the hospital. Out of 32 provincial hospitals which were established by the government, 10 hospitals were selected as sample hospitals. Ten hospitals were divided into two groups(5 hospitals each), one of which was profit-making and the other loss-making. The criteria in selecting profit or loss-making hospitals was net profit to total revenue. The major finding of the study was as follows; 1. Whether or not a hospital had specialized in certain departments was proved to be the major factor influencing on the financial performance. Three out of five profit-making hospitals could harvest following results by operating specific departments. (1) Man powers needed for the operation of specific departments were 14.6 persons per 100 bed, which was only 1/7 of the general hospital. (2) The number of doctors has not increased in proportion to the increase of the number of beds. (3) Ratio of total revenue to MD.'s payroll expenses of the profit-making hospitals was 75.0% higher than the loss-making hospitals. (4) The average length of stay of specific department was very long(388.1 days). However, the specific departments were found to have contributed much to the financial performance because the occupancy rate of such departments was very high(94.5%). 2. The headcount per 100 bed of the profit-making hospitals was 23.9 persons(24.0%) less than the loss-making hospitals and the ratio of payroll expenses to total revenue 15.1% less. 3. Averagel revenue per specialist of the profit-making hospitals was 100 million(25.1%) more than loss-making hospitals and the ratio of total revenue to MD's payroll expenses of profit-making hospital was 75.0% higher. 4. Profit-making hospitals have introduced new systems or renovation in 36 fields, such as incentive payment system, utilization of contracted man powers, change of the payroll structure of the nurses, specialization in certain departments, etc; however, loss-making hospitals introduced only 25 new systems or renovations. These kind of renovation could not be achieved without the cooperation of the labor union and the strong will of the top management. Therefore, it could be said that the labor union of the profit-making hospitals seems to have been very cooperative compared with that of loss-making hospitals.
This study is to find out changes in medical practice at a university hospital before and after covering intraocular lens (IOL) from the health insurance benefit. The coverage started on March 1, 1993 and a total of 596 cases who were discharged from July 1 to December 31, 1992 and 580 cases who were discharged from July 1 to December 31, 1993 were analyzed. Since the standard reimbursement scheme was changed from March 1, 1993, the charges for 1992 were transformed into 1993 scheme. Major findings are as follows: Average length of stay was statistically significantly decreased from 8.24 days in 1992 to 6.86 days in 1993. Charges except IOL has been statistically significantly decreased from 501,000 Won in 1992 to 444,000 Won in 1993. Charges for drugs and injection have been reduced. However, charge per day for them was not much different. This is due to decrease in length of stay. Charges for laboratory tests and radiologic examination were quite the same. Charges which are not covered by the insurance remained the same. The revenue of the hospital was reduced as expected. However, the hospital reduced the length of stay and increase the turnover rate In order to compensate the potential loss of revenue due to the difference of reimbursement between the out-of-pocket expense and the insurance coverage. By introducing the IOL benefit in the insurance, the insured pays less, hospital generates more revenue through shortening the hospital stay, and the total medical care cost becomes less nationwidely.
Background: This study aimed to measure the opportunity income by identifying the economic length of stay (ELOS) which is the intersection point of daily revenue and cost on appendectomy and pneumonia cases. Methods: The research subjects were 460 patients of appendectomy and 606 patients of pneumonia, discharged from a general hospital between July 1, 2009 and June 30, 2010. ELOS calculated with both of total revenue on diagnosis-related group (DRG) and fee-for service (FFS). The cost is calculated by activity-based costing system of the hospital. Results: Average length of stay (ALOS) of appendectomy was 4.48 days and its average revenue per case were 1,710,215 (1,989,105) won by DRG (FFS). The variable cost was 491,262 won which was 28.7% (24.7%) of DRG (FFS) total revenue. And 97.2% of the total variable cost was incurred within 2 days from admission. The ELOS was 4 (5) days in DRG (FFS). Shortening three days (two days) would increase opportunity income 52.0% (82.2%) in DRG (FFS). ALOS of pneumonia case was 4.86 days and its average revenue per case were 489,448 (761,426) won by DRG (FFS). The variable cost was 27,230 won which was 5.6% (3.6%) of DRG (FFS) total revenue. Thirty-eight point nine percent of the daily variable cost was incurred in discharge date. The ELOS was 2 (4) days in DRS (FFS). Shortening three days (one day) would increase opportunity income 27.6% (37.2%) in DRG (FFS). Conclusion: The ELOS would be used by strategic index for achieving minimum profit and developing the ways to get there. But we also should not pass over that the opportunity income obtained by the reducing ALOS may cause some problem of quality.
Journal of the Korean Data and Information Science Society
/
v.18
no.1
/
pp.31-40
/
2007
Many previous researchers tried to analysis relationship between financial index of hospitals such as revenue, expenses, and profit and hospital outcome such as number of inpatient and outpatient or, between that financial index and hospital size including number of hospital beds. However, these studies did not find exact relationship between financial index and hospital efficiency and productivity. Therefore, purpose of the study explores exact relationship between hospital financial outcome and hospital efficiency and productivity using adjusted inpatient days concept from American Hospital Association. Through the empirical analysis, the researchers find that hospital profit has the U-shape quadratic function to operation ratio. 66.9% of operation ratio is changing point and hospitals with 55.8% through 75.0% of operation ration have experience deficit situation. Considering the hospital circumstance, Korean hospitals would be to maintain general hospital type with various specialty departments.
The purpose of this study is to analyse statistically the relation between medical service quality and managerial performance. And then the way of analysis is the regression analysis that independent variable is service quality, dependent variable is the volume of revenue, the number of patients and the rate of beds utility, and dummy variable is the number of beds, ownership and region. The sample hospitals were the 113 hospitals on general hospitals more than 300beds which were consisted of 20 public hospitals, 41 corporate hospitals and 52 college hospitals, and also distributed 67 hospitals on big city and 46 hospitals other city. The sample hospitals were selected from the Korean Hospital Association and the data of the year 2003 and 2004. The collected data was analyzed using the SPSSWIN 10.0 version, and the study hypothesis was tested using regression analysis. The findings of this study are summarized as follows. First, as a result of analysing hypothesis 1. In the study of the relationship between the service quality and the revenue, it was verified that the more service quality in last year became the more revenue in the year. But the dummy variable, ownership and region, rarely related to hospital revenue. Therefore it means that the more service quality is connected to the more revenue on the large number of beds hospitals. Second, as a result of analysing hypothesis 2 & 3. In the study of the relationship between the service quality and the number of patients, it was verified that the more service quality in last year became the more outpatients in the year. But there was no verified to inpatients. It seems to be the reason why a hospital has operated the fixed number of beds approved by the public office. So there are no free to expand beds according to the number of inpatients as much as inpatients are increasing. Third, as a result of analysing hypothesis 4 & 5. In the study of the relationship between the service quality and the rate of beds utility, it was verified that the more service quality in last year became the shorter of average stay of length in the year. Especially it has influenced much more on a hospital which was the large number of beds, the corporate and the college, but the region. But it was denied that the more service quality became the more the beds turnover. As a result of this study, it shows that the service quality in the last year has importantly influenced on a hospital managerial performance in the year. Estimating the service quality of each hospital, most patients have selected the hospital they want. And the hospital need to keep the number of patients for the proper management. So this result of the study means that a hospital must improve the service quality for keeping efficient management.
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