No abstract available.
Diagnosis-Related Groups* ; Korea*

No abstract available.
Diagnosis-Related Groups* ; Korea*

No Abstract available.
Cross Infection* ; Diagnosis-Related Groups*

Today's diagnosis related group (DRG) services system has improved medical insurance fees and subdivisions of disease compared with the past DRG system, but does not appropriately take into account the development of complications of severe disease and does not properly compensate care providers for the costs of using the newest medical devices. The Korean DRG system model needs to reflect the medical environment and the latest developments. Therefore, Cooperation with the government, medical service personnel, and citizens is necessary for the improvement of the DRG services system.
Diagnosis ; Diagnosis-Related Groups* ; Fees and Charges ; Insurance

In the health-care market, the shift from a fee-for-service to a DRG environment has dramatically altered the landscape. To survive in this situation, hospital have to change. Information technology is one of change means. In this study, the means on information technology are presented Data warehouse, Data Mart, OLAP, Forecasting Tool, Statistic Package, Data mining.
Data Mining ; Diagnosis-Related Groups ; Forecasting

OBJECTIVES: To evaluate the impacts of the DRG payment system on the behavior of medical insurance claimants. Specifically, we evaluated the case-mix index, the numbers of diagnosis and procedure codes utilized, and the corresponding rate of diagnosis codes before, during and after implementation of the DRG payment system. METHODS: In order to evaluate the case-mix index, the number of diagnosis and procedure codes utilized, we used medical insurance claim data from all medical facilities that participated in the DRG-based Prospective Payment Demonstration Program. This medical insurance claim data consisted of both pre-demonstration program data (fee-for-service, from November, 1998 to January, 1999) and post-demonstration program data (DRG-based Prospective Payment, from February, 1999 to April, 1999). And in order to evaluate the corresponding rate of diagnosis codes utilized, we reviewed 820 medical records from 20 medical institutes that were selected by random sampling methods. RESULTS: The case-mix index rate decreased after the DRG-based Prospective Payment Demonstration Program was introduced. The average numbers of different claim diagnosis codes used decreased (new DRGs from 2.22 to 1.24, and previous DRGs from 1.69 to 1.21), as did the average number of claim procedure codes used (new DRGs from 3.02 to 2.16, and previous DRGs from 2.97 to 2.43). With respect to the time of participation in the program, the change in number of claim procedure codes was significant, but the change in number of claim diagnosis codes was not. The corresponding rate of claim diagnosis codes increased (from 57.9% to 82.6%), as did the exclusion rate of claim diagnosis codes (from 16.5% to 25.1%). CONCLUSIONS: After the implementation of the DRG payment system, the corresponding rate of insurance claim codes and the corresponding exclusion rate of claim diagnosis codes both increased, because the inducement system for entering the codes for claim review was changed.
Academies and Institutes ; Diagnosis ; Diagnosis-Related Groups* ; Insurance* ; Medical Records

BACKGROUND: Korea set up new diagnosis related group (DRG) as demonstration project in 2009. The new DRG was reformed in 2016. The main purpose of study is to identify the effect of reform on accuracy of payment. METHODS: This study collected inpatient data from a hospital which contains medical information and cost from 2015 to 2016. The dependent variables were accuracy of total, bundled, unbundled payment, and payment for procedures. To analyze the effect of reform, this study conducted a multi-variate regression analysis adjusting for confounding variables. RESULTS: The accuracy of payment increased after policy reform. The accuracy of total, bundled, unbundled payment, and payment for procedures significantly increased 3.90%, 2.92%, 9.03%, and 14.57% after policy reform, respectively. The accuracy of unbundled payment showed the largest increase among dependent variables. CONCLUSION: The results of study imply that policy reform enhanced the accuracy of payment. The government needs to monitor side effects such as increase of non-covered services. Also, leads to a considerable improvement in the value of cost unit accounting as a strategic play a role in development of DRG.
Confounding Factors (Epidemiology) ; Diagnosis ; Diagnosis-Related Groups ; Humans ; Inpatients ; Korea

BACKGROUND: Korea set up new diagnosis related group (DRG) as demonstration project in 2009. The new DRG was reformed in 2016. The main purpose of study is to identify the effect of reform on accuracy of payment. METHODS: This study collected inpatient data from a hospital which contains medical information and cost from 2015 to 2016. The dependent variables were accuracy of total, bundled, unbundled payment, and payment for procedures. To analyze the effect of reform, this study conducted a multi-variate regression analysis adjusting for confounding variables. RESULTS: The accuracy of payment increased after policy reform. The accuracy of total, bundled, unbundled payment, and payment for procedures significantly increased 3.90%, 2.92%, 9.03%, and 14.57% after policy reform, respectively. The accuracy of unbundled payment showed the largest increase among dependent variables. CONCLUSION: The results of study imply that policy reform enhanced the accuracy of payment. The government needs to monitor side effects such as increase of non-covered services. Also, leads to a considerable improvement in the value of cost unit accounting as a strategic play a role in development of DRG.
Confounding Factors (Epidemiology) ; Diagnosis ; Diagnosis-Related Groups ; Humans ; Inpatients ; Korea

No abstract available.
Diagnosis-Related Groups* ; Inflammation* ; Reflex* ; Spinal Cord* ; Urinary Bladder* ; Urination*

Beijing ; Diagnosis-Related Groups ; economics ; Health Care Reform ; Health Expenditures