• 보건행정학회지
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• 제14권1호
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• pp.121-147
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• 2004

Since the pilot program for a DRG-based prospective payment system was introduced in 1997, the performance of KDRGs has been one of hotly debated issues. The objectives of this study are to refine the classification algorithm of the KDRGs and to assess the improvement achieved by the refinement. The U.S. Medicare DRGs version 17.0 and the Australian Refined DRGs version 4.1 were reviewed to identify areas of possible impro-vement. Refined changes in the classification and result of date analyses were submitted to a panel of 48 physicians for their reviews and suggestions. The refinement was evaluated by the variance reduction in resource utilization achieved by the KDRG The database of 2,182,168 claims submitted to the Health Insurance Review Agency during 2002 was used for evaluation. As the result of the refinement, three new MDCs were introduced and the number of ADEGs increased from 332 to 674. Various age splits and two to four levels of severity classification for secondary diagnoses were introduced as well. A total of 1,817 groups were defined in the refined KDRGs. The variance reduction for charges of all patients increased from 48.2％ to 53.6％ by the refinement, and from 65.6％ to 73.1％ for non-outlier patients. The r-square for length of stays of all patients was increased from 28.3％ to 32.6％, and from 40.4％ to 44.9％ for non-outlier patients. These results indicated a significant improvement in the classification accuracy of the KDRG system.

• 보건행정학회지
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• 제18권2호
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• pp.67-85
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• 2008

This study evaluated the specialization status of Korean hospitals by applying index measures that were developed to determine how hospitals are specialized. In addition, multivariate regression analysis was applied to assess how the measures responded to the internal and external factors of hospitals. National Health Insurance claims for 2004 were used to calculate the information theory index, internal Herfindahl index, number of distinct diagnosis-related groups (DRGs) treated, and percent of the five most common DRGs. Data from the Ministry of Health and Welfare and Korean Hospital Association were used to determine the size, ownership, teaching status, organization type, and location of the hospitals. The four indexes analyzed showed that there were significant differences in the specialization status of providers, depending on the provider size, organization type, and location. Hospitals that were smaller and located in metropolitan areas tended to provide specialized services; this is considered to constitute a competitive strategy for hospitals. It is expected that specialized hospitals will increase given the current market structure. Therefore, policy makers will need an index for measuring how hospital services are specialized. Information from such an index could provide a picture of how hospital services are mixed and change over time.

• 한국병원경영학회지
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• 제7권1호
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• pp.105-120
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• 2002

In the United States, the prospective payment system(PPS), under which diagnosis related groups (DRGs) are used to reimburse hospitals for the care of Medicare patients since 1983, Study results showed that the PPS is having a major impact on the quantity of services especially of hospital length of stay. The PPS has increased the likelihood that a patient will be discharged home in an unstable condition and the use of nursing homes or long term care facilities increased. Still, it is insufficient to conclude that the PPS has decreased the Medicare total expenditure, but relatively sufficient to conclude that the quality of care hasn't changed. The maintenance of the quality resulted from the systemic "check-and-balance" composed of three factors; (1) The doctors are reimbursed based on the fee-for-service system, (2) hospitals contact with doctors under the attending system, and (3) there are some public hospitals. In Korea, the reimbursement for hospitals and doctors are not divided, the hospitals have doctors as employees, and 90% of hospitals are private. These differences may weaken the "check-and-balance" existing in the U.S. system. And there are few long term care facilities and the diagnostic coding system using in pilot test are not suitable for Korean situation. In conclusion, for successful implementation of the DRG payment system in Korea, the government should establish the "check-and-balance" system in the health sector to make sure the quality of care before the implementation.

• Journal of Preventive Medicine and Public Health
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• 제36권2호
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• pp.147-152
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• 2003

Objectives : To develop a Diagnosis-Related Group (DRG) fraud candidate detection method, using data mining techniques, and to examine the efficiency of the developed method. Methods ; The Study included 79,790 DRGs and their related claims of 8 disease groups (Lens procedures, with or without, vitrectomy, tonsillectomy and/or adenoidectomy only, appendectomy, Cesarean section, vaginal delivery, anal and/or perianal procedures, inguinal and/or femoral hernia procedures, uterine and/or adnexa procedures for nonmalignancy), which were examined manually during a 32 months period. To construct an optimal prediction model, 38 variables were applied, and the correction rate and lift value of 3 models (decision tree, logistic regression, neural network) compared. The analyses were peformed separately by disease group. Results : The correction rates of the developed method, using data mining techniques, were 15.4 to 81.9%, according to disease groups, with an overall correction rate of 60.7%. The lift values were 1.9 to 7.3 according to disease groups, with an overall lift value of 4.1. Conclusions : The above findings suggested that the applying of data mining techniques is necessary to improve the efficiency of DRG fraud candidate detection.

• Journal of Preventive Medicine and Public Health
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• 제11권1호
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• pp.123-127
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• 1978

The major objective of this research is to identify those hospital characteristics that best explain cost variation among hospitals and to formulate linear models that can predict hospital costs. Specific emphasis is placed on hospital output, that is, the identification of diagnosis related patient groups (DRGs) which are medically meaningful and demonstrate similar patterns of hospital resource consumption. A casemix index is developed based on the DRGs identified. Considering the common problems encountered in previous hospital cost research, the following study requirements are estab-lished for fulfilling the objectives of this research: 1. Selection of hospitals that exercise similar medical and fiscal practices. 2. Identification of an appropriate data collection mechanism in which demographic and medical characteristics of individual patients as well as accurate and comparable cost information can be derived. 3. Development of a patient classification system in which all the patients treated in hospitals are able to be split into mutually exclusive categories with consistent and stable patterns of resource consumption. 4. Development of a cost finding mechanism through which patient groups' costs can be made comparable across hospitals. A data set of Medicare patients prepared by the Social Security Administration was selected for the study analysis. The data set contained 27,229 record abstracts of Medicare patients discharged from all but one short-term general hospital in Connecticut during the period from January 1, 1971, to December 31, 1972. Each record abstract contained demographic and diagnostic information, as well as charges for specific medical services received. The 'AUT-OGRP System' was used to generate 198 DRGs in which the entire range of Medicare patients were split into mutually exclusive categories, each of which shows a consistent and stable pattern of resource consumption. The 'Departmental Method' was used to generate cost information for the groups of Medicare patients that would be comparable across hospitals. To fulfill the study objectives, an extensive analysis was conducted in the following areas: 1. Analysis of DRGs: in which the level of resource use of each DRG was determined, the length of stay or death rate of each DRG in relation to resource use was characterized, and underlying patterns of the relationships among DRG costs were explained. 2. Exploration of resource use profiles of hospitals; in which the magnitude of differences in the resource uses or death rates incurred in the treatment of Medicare patients among the study hospitals was explored. 3. Casemix analysis; in which four types of casemix-related indices were generated, and the significance of these indices in the explanation of hospital costs was examined. 4. Formulation of linear models to predict hospital costs of Medicare patients; in which nine independent variables (i. e., casemix index, hospital size, complexity of service, teaching activity, location, casemix-adjusted death. rate index, occupancy rate, and casemix-adjusted length of stay index) were used for determining factors in hospital costs. Results from the study analysis indicated that: 1. The system of 198 DRGs for Medicare patient classification was demonstrated not only as a strong tool for determining the pattern of hospital resource utilization of Medicare patients, but also for categorizing patients by their severity of illness. 2. The wei틴fed mean total case cost (TOTC) of the study hospitals for Medicare patients during the study years was $11,27.02 with a standard deviation of $117.20. The hospital with the highest average TOTC ($1538.15) was 2.08 times more expensive than the hospital with the lowest average TOTC ($743.45). The weighted mean per diem total cost (DTOC) of the study hospitals for Medicare patients during the sutdy years was $107.98 with a standard deviation of $15.18. The hospital with the highest average DTOC ($147.23) was 1.87 times more expensive than the hospital with the lowest average DTOC ($78.49). 3. The linear models for each of the six types of hospital costs were formulated using the casemix index and the eight other hospital variables as the determinants. These models explained variance to the extent of 68.7 percent of total case cost (TOTC), 63.5 percent of room and board cost (RMC), 66.2 percent of total ancillary service cost (TANC), 66.3 percent of per diem total cost (DTOC), 56.9 percent of per diem room and board cost (DRMC), and 65.5 percent of per diem ancillary service cost (DTANC). The casemix index alone explained approximately one half of interhospital cost variation: 59.1 percent for TOTC and 44.3 percent for DTOC. Thsee results demonstrate that the casemix index is the most importand determinant of interhospital cost variation Future research and policy implications in regard to the results of this study is envisioned in the following three areas: 1. Utilization of casemix related indices in the Medicare data systems. 2. Refinement of data for hospital cost evaluation. 3. Development of a system for reimbursement and cost control in hospitals.

• Journal of Preventive Medicine and Public Health
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• 제21권2호
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• pp.390-403
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• 1988

The objectives of the study were to provide the basic informations needed in the development of balanced medical services throughout the nation. As the national health care system was expanding rapidly along with the economic growth, quantitative re-evaluation of the system is of great need. For that reason, characteristics of the admitted patients were analyzed for the case-mix and patients' flow within and through regions. Materials were 421,530 cases of inpatients, who were reported through Korea Medical Insurance Corporation(KMIC) for insurance claim, during the period of March 1, 1985 through February 28, 1987. Korean Diagnosis Related Groups(K-DRGs) classification system was adopted for the study of case-mix and 189 cities and counties were classified into 5 district groups by factor analysis results of K-DRGS. The major findings of this study were as follows ; 1) Factor analysis of case-mix, employing K-DRG system, revealed 5 distinct funtional district groups. Group A(18 districts) was prominent for tertiary medical care. In group B(36 districts), rather simple procedures were prevalent. Group C(26 districts) was distinctive for the medical care of well organized internal medicine practices with qualified clinical laboratories. Group D(17 districts) was characterized by relatively high balanced medical care. Group E (92 districts) was with very low level of medical care. 2) Analysis of the case-flow through the districts showed 3 types of flow patterns : inflow, outflow, and balanced types. Inflow type of case-flow was found in Group A, C and D while Group B and E showed outflow type. Inflow was most prominent in Group A and Group E was of typical outflow type. Group B was consistently the outflow type except for Major Diagnostic Category XX regardless of the disease treaters, but Group C and D were inflow or outflow types according to the disease tracers.

• 보건행정학회지
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• 제20권3호
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• pp.21-35
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• 2010

This study examined the changes in the service mix of Korean hospitals in 6 metropolitan cities between 2003 and 2005, and assessed whether the sample hospitals exhibit consistent trend or chance variation in multiple years. Three measures of hospital service mix, focusing on the specialization of services, were applied: information theory index, internal Herfindahl index, and number of distinct diagnosis-related groups (DRGs) treated. National Health Insurance claims were used to calculate the indexes. Specialization indexes were calculated in each year, and then examined to identify the pattern over time. Kappa analysis was applied to assess the agreements of specialization score between two years after hospitals were categorized into 4 groups with quartiles. Kappa score showed that the service mix of hospitals were changed during the study years. Specialization scores were increased given the market structure for three years. Hospitals which showed higher or lower specialization scores than the average of the scores consistently classified into the same group. Specialization indexes showed relatively consistent pattern over 3 years, and such consistencies were evident for hospitals regardless of the specialization status. Policy makers can identify the degree of specialization with the indexes, and it could provide a picture of how hospital services were mixed and changed over time.

• 지식경영연구
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• 제16권1호
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• pp.209-224
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• 2015

Previous studies provided that limiting the number of services provided in hospital had influences in decreasing cost in delivering medical services. Hospitals could have positive effects on their profit by concentrating small number of services which they have comparative advantages. This study purposed to analyze the relationship between the concentration status of hospitals and medical charge for inpatients. National Inpatient sample data provided by the Health Insurance Review and Assessment Service (HIRA) for three years, 2009 to 2011 was used to compute the three concentration indices (Information Theory Index (ITI), Internal Herfindahl Index (IHI), and number of distinct Diagnosis-Related Groups (DRGs) treated) and total medical charge per inpatient case in each year. It was also used to select the control variables such as bed size, number of doctors per 100 beds, and locations. The ordinary least square regression models were developed and tested for hospital and general hospitals separately. The results showed that the total medical charge per inpatient case was significantly differed depending on the concentration indices, and there were positive relationships in ITI and IHI. The number of distinct DRGs had different directions in regression coefficients depending on the locations and hospital types. Hospitals had larger absolute standardized regression coefficients compare to those of general hospitals. However, their effects could be varied by the hospital types, number of doctors, and locations. It seems that hospitals have more influences on medical charges by concentrating their services than general hospitals. Study results provide knowledges to hospital administrators that concentration strategy can positive influences on the performance of small size hospitals.

• 한국콘텐츠학회논문지
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• 제13권8호
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• pp.314-323
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• 2013

본 연구의 목적은 건강보험심사평가원에서 제공한 2009년 환자표본자료를 이용하여 병원의 환자집중도 수준과 분만환자의 평균재원일수와의 관계를 분석하는 것이다. 병원에 내원한 분만환자의 집중도는 DRGs(Diagnosis Related Groups)를 이용하여 생성된 내부허핀달지수를 이용하여 측정하였다. 통계분석에서는 병상 수, 분만환자 수, 100병상 당 의사 수, 100병상 당 간호사 수 같은 병원의 구조변수를 통제변수로 사용하였고, 분만환자의 평균재원일수는 종속변수로 사용하였다. 연구에서 분만환자의 집중화에 따른 재원일수 변이의 분석을 위해 모형 1에서는 병원의 모든 입원환자들 중 분만입원환자의 집중화정도를 분석하였고, 모형 2에서는 모든 산부인과 관련 환자들 중 분만입원환자의 집중화정도를 분석하였다. 분석결과 환자집중도는 두 모형 모두 평균재원일수와 통계적으로 유의하지 않았으며, 분만환자 수와 병상 수에서 통계적으로 유의하였다. 분만환자 수 변수는 평균재원일수와 음의 상관관계를 보였고, 병상 수는 양의 상관관계를 보였다. 연구결과는 병원에 내원한 분만환자의 집중도 지수 보다는 분만환자 수가 평균재원일수에 유의한 영향을 주는 것으로 나타났으며, 환자 수는 병원에서 진료의 효율성을 향상시키는데 기여한다고 볼 수 있다.

• 보건행정학회지
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• 제13권1호
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• pp.98-115
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• 2003

Concerns about growing health insurance expenditures became a national Issue in 2001 when the National Health Insurance went into a deficit. Increases in spending for ambulatory care shared the largest portion of the problem. Methods and systems to control the spending should be developed and a system to measure case mix of providers is one of core components of the control system. The objectives of this article is to examine the feasibility of applying Korean Diagnosis Related Groups (KDRGs) to classify health insurance claims for ambulatory care and to identify problem areas of the classification. A database of 11,586,270 claims for ambulatory care delivered during January 2002 was obtained for the study, and the final number of claims analyzed was 8,319,494 after KDRG numbers were assigned to the data and records with an error KDRG were excluded from the study. The unit of analysis was a claim and resource use was measured by the sum of charges incurred during a month at a department of a hospital of at a clinic. Within group variance was assessed by th coefficient of variation (CV), and the classification accuracy was evaluated by the variance reduction achieved by the KDRG classification. The analyses were performed on both all and non-outlier data, and on a subset of the database to examine the validity of study results. Data were assigned to 787 KDRGs among 1,244 KDRGs defined in the classification system. For non-outlier data, 77.4％ of KDRGs had a CV of charges from tertiary care hospitals less than 100％ and 95.43％ of KDRGs for data from clinics. The variance reduction achieved by the KDRG classification was 40.80％ for non-outlier claims from tertiary care hospitals, 51.98％ for general hospitals, 40.89% for hospitals, and 54.99% for clinics. Similar results were obtained from the analyses performed on a subset of the study database. The study results indicated that KDRGs developed for a classification of inpatient care could be used for ambulatory care, although there were areas where the classification should be refined. Its power to predict tile resource utilization showed a potential for its application to measure case mix of providers for monitoring and managing delivery of ambulatory care. The issue concerning the quality of diagnostic information contained in insurance claims remains to be improved, and significance of future studies for other classification systems based on visits or episodes is guaranteed.