This study analyzed between the hospital's management performance and training expense by using five year financial statements data of the nation's total medical corporations, and The meaningful results of this study as follow. The relation between training expense and hospital's management performance in the rate of medical profit showed to have negative influence in year three of the five year, but in the rate of net income showed to have negative influence in only year one. And if you look the and analyze results differ by metropolitan and provincial, in the case of large cities there are showed that the relation between training expense and hospital's management performance in the rate of net income showed to have positive influence in year one. Even though not be consistent across the entire year, this study presented new results to be negative influence on training expense is the hospital's management performance. This study has a value in respects the first analysis to try using the financial statements data of nationwide medical corporation in the relation of the between training expense and management performance.
Journal of the Korea Academia-Industrial cooperation Society
/
v.21
no.5
/
pp.274-280
/
2020
The purpose of this study was to identify the average cost and present status of non-benefit medical expenses by using the data of tertiary hospitals released by the Health Insurance Review and Assessment Service(HIRA), and to compare the data to find cost variations. The target of analysis was the present status of the non-benefit medical expenses reported by 41 tertiary hospitals among the 44 previously designated hospitals (three were excluded due to revocation or new designation) for 2015, 2016, 2017, and 2018 (until April). This study was conducted after approval of using the released data of the HIRA's data opening system. This study was analyzed by its general characteristics, annual non-benefit medical expenses by frequency analysis, and annual understanding of variation by designating Coefficient of Variation (C.V.). The research found out that the number of details of non-benefit medical expense was gradually increased: the numbers of categories were 51 in 2015, 53 in 2016, and 98 in 2017, but there was a rapid increase in 2018 by 193. As a result, to standardize non-benefit medical expense items across tertiary hospitals due to their variations in the expenses, the government should expand standardized non-benefit medical expenses and make it mandatory for medical institutions to use the standardized items or names of such expenses.
This research grasped the difference of between the daily medical expenses and the medical expenses reduction rate also the cause of change. In the centre, it was conducted in order to offer the necessary basic data to a recuperation pay management solution's establishment. This research surveyed across the country's urban region 50-general hospital's the infective enteritis disease for a year. Then it was conducted the average daily medical expenses and the average medical expenses reduction rate as a distinguishable survey that is a hospitalization and an outpatient the result is followed. The inpatient daily medical expenses correlated with the total number of medical institution personnel, and the outpatient daily medical expenses correlated with the number of beds.. Inpatient medical expense reduction rate was correlated with number of beds and the total number of medical institution personnel. The interaction between medical institution information and daily medical expenses was found to have a positive (+) effect on the total number of medical institution personnel, as well as the numbers of inpatients vs. outpatient. This research about the medical expense reduction rate and daily medical expense help medical institution's efficient, rational decision making and it will be an important basis of a priority recuperation pay's policy.
Objectives : Medical service specialization could have positive effects on their profits and medical service quality. This study was to examine the relationship between medical service specializations and operational performance in hospitals. Methods : We used the National Inpatient Sample data provided by the Health Insurance Review and Assessment Service from 2010 to 2013. The hospital operational performance was determined by measuring the specialization level of the hospital based on DRGs. Results : The information theory index was 2.38 in 2010, 2.38 in 2011, 2.37 in 2012, and 2.37 in 2013. A multiple regression model was constructed which showed that if the specialization level becomes higher, it decreases the length of stay per case with an increase in medical expense. Conclusions : Differentiation and concentrated medical service specialization strategy have had a positive effect on the operational performance of hospitals.
Journal of Korean Academy of Nursing Administration
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v.14
no.4
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pp.396-403
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2008
Purpose: The purpose of this study was to identify experiences when Koreans who reside in Thailand visit Thai health facilities. Methods: The data were collected via direct interview from 36 Korean residents of Thailand. Collected data were analyzed by content analysis. Result: 1) 162 content analysis data were collected from the participants' statements. These data were categorized into 70 attributes and 9 higher attributes. 2) Out of the 70 attributes, the 3 attributes which were most commonly mentioned by the participants were the following: medical expense for foreigners were expensive(66.7%), difficulties in communication with health care providers(36.1%), kindness of nurses(33.3%). 3) The 9 higher attributes were 1) high medical expense to foreigner, 2) difficulties in communication, 3) distrust about medical service, 4) excessive prescription in oral medicine, 5) kindness, 6) good service, 7) difference in medical environment according hospital type, 8) irrational process in medical treatment for out patients, 9) cultural difference in postpartum care. Conclusion: When Korean residents in Thailand use Thailand health facilities, they experience high medical expense, difficulties in communication, low quality in medical service and kindness of the medical staff.
Journal of Korean Academy of Nursing Administration
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v.13
no.2
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pp.199-207
/
2007
Purpose: Clinical characteristics and medical cost were analyzed according to the surgical procedures for intertrochanteric fracture in aged patients to assess the appropriateness of treatment expense and to find possibility of reducing the medical cost. Method: Variable for the statistical analysis were; the clinical characteristics, medical cost according to the surgical procedures, the treatment success rate, the total medical expense, and the average expense per case. SAS Package Version 8.02. was used to analyze the relevant data. Results: Operative procedures differ significantly according to the gender and by the location of institution. Only significant clinical variables according to the operative procedure were duration of general anesthesia and amount of blood transfusion. Average cost per treatment was the highest in the bipolar hemiarthroplasty followed by the gamma nail and hip compressing screw. Average cost for bipolar hemiarthroplasty was significantly higher than other surgical procedures. Conclusions: The difference in hospital costs for treatment of intertrochanteric fracture originates from the utilized surgical procedures, mostly by the materials used. The method of surgical treatment should be carefully determined by the purpose of the surgery, in order to improve the quality of medical care and also to reduce the hospital cost.
Many alternatives have been discussed to reduce the medical expenditure and to use the medical resources effectively. Many studies about the economies of scale have been done for the last several decades. This study has analyzed the relationship between the number of beds and the mean expense per hospitalization day in Korea. A Cost Function Model was identified and we wanted to see the minimum optimal size with the cheapest mean expense per hospitalization day. The result is as follows; 1. In the Cost Function Mode, (the number of beds)$^{2}$, the number of personnel, productivity and training institutions are the factors that statisticaly influence the mean expenses. 2. By the univariate analysis the mean expense proved to be the smallest as the level of 150-200bed, The breaked down of the components of expenses shows that the mean labor cost is much different from the mean value of material and administration costs, and that hospital with 150-200 beds also have the minimal expense. The mean expense goes up dramatically in hospitals of 450 beds or more. 3. When the other conditions are constant, according to the multiple regression analysis of the mean expense per adjusted hospitalization day the minimum optimal size with the cheapest expense is a hospital with 191 beds and the hospital with 230 beds takes the lowest mean labor cost. The material or administration costs are not influenced by hospital size. This research has limitation in measuring the variables that influence hospital xpenses, in estimating hospital output by the number of beds in considering outpatient cost and in securing representativeness of hospitals because many hospitals made no responses to the research questionnare. But it is valuable and helpful for development of health policy to figure out the number of beds with the cheapest expense per hospitalization day.
Relative value scales introduced in 2001 remarkably improved health insurance fee schedule, but current relative value scales have many problems. In the beginning the government intended to introduce 'resource based relative value scales(RBRVSs)' like USA, but political adjustment of RBRVS studied in 19.17 weakened the relationship between relative value scale and resource consumption. So unbalance of health insurance fees are existing till now. Also relative value was not divided to physician work and practice expense, and malpractice fee was not divided separately. To correct the unbalance of current relative value scales, the refinement project of health insurance relative value scales started in 2003. The project team divided relative value scales into three components, which are physician work, practice expense, malpractice fee. Physician work was studied by professional organizations like Korean medical association. To develop the practice expense relative value, project team organized clinical practice expert panels(CPEPs) composed of physicians, nurses, and medical technicians. CPEPs constructed direct expense data like labor costs, material costs, equipment costs about each medical procedures. The practice expense relative values of medical procedures were developed by the allocation of the institution level direct & indirect costs according to CPEPs direct costs. Institution level direct & indirect costs were collected in 21 hospitals, 98 medical clinics, 53 dental clinics, 78 oriental clinics, and 46 pharmacies. The malpractice fee relative values were developed through the survey of malpractice related costs of hospitals, clinics, pharmacies. Putting together three components of relative values in one scale, the final relative values were made. The final relative values were calculated under budget neutrality by medical departments, that is, total relative value score of a department was same before and after the revision. but malpractice fee relative value scores were added to total scores of relative values. So total score of a department was increased by the malpractice fee relative value score of that department This project failed in making 'resource based' relative value scales in the true sense of the word, because the total relative value scores of medical departments were fixed. However the project team constructed the objective basis of relative value scale like physician's work, direct practice expense, malpractice fee. So step by step making process of the basis, the fixation of total scores by the departments will be resolved and the resource based relative value scale will be introduced in true sense.
The purpose of this study is to analyze medical expenses by decedents in their last year of life and compare them with those by survivors during the year 2008. This study is conducted firstly in Korea, except some studies focusing on medical cost of decedents from specific diseases. To study this, national health insurance(NHI) claims data was used with medicaid claims data. The study group(decedents) was selected from the insurance entitlement file who were dropped out from January to December of 2008. The control group(survivors) was selected from the entitlement file by stratified sampling with keeping age-sex composition of the study group. The medical expenses of decedents during one year before death were measured and compared with those of survivors by sex and age. And the medical expenses were analyzed by causes of death, and also the expenses were examined by each item of medical services. On average, the medical expense amounted to 11 million Korean Won per decedent during their last year of life in 2008. The medical expense per decedent was 9.3 higher than that of survivor. The death-related expense of under the age 35 was about 16 million Won, compared with 4 million Won in the case of over the age 95, in average. The death-related expense is higher in younger ages. This means that more medical resources are put in to save life in younger ages. Total death-related expenditure took 8.3 percent in total NHI expenditures. Of the death-related medical expenses, the largest one was injection-related cost which shares twenty five percent, and the second largest one was hospitalization charges, and then the third one was surgery cost. The results of this study suggested that we should pay attention to the medical expenses in the last of year of life when we study health care expenditure in Korea. In addition, we have to deliberate health care policy to cope with medical expenditures before death in more efficient way.
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