• 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.

• 보건행정학회지
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• 제27권3호
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• pp.211-218
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• 2017

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.

• 보건행정학회지
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• 제26권2호
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• pp.135-147
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• 2016

Background: The voluntary diagnosis-related groups (DRG)-based payment system was introduced in 2002 and the government mandated participation in the DRG for all hospitals from July 2013. The main purpose of this study is to examine the independent effect of mandatory participation in DRG on various outcomes of patients. Methods: This study collected 1,809,948 inpatient DRG data from the Health Insurance Review and Assessment database which contains medical information for all patients for the period 2007 to 2014 and examined patient outcomes such as length of stay (LOS), total medical cost, spillover, and readmission rate according to hospital size. Results: LOS of patients decreased after DRGs (large hospitals: adjusted odds ratio [aOR], 0.87; 95% confidence interval [CI], 0.78-0.97; small hospitals: aOR, 0.91; 95% CI, 0.91-0.92). The total medical cost of patients increased after DRGs (large hospitals: aOR, 1.22; 95% CI, 1.14-1.30; small hospitals: aOR, 1.22; 95% CI, 1.21-1.23). The results reveals that spillover of patients increased after DRGs (large hospitals: aOR, 1.27; 95% CI, 0.70-2.33; small hospitals: aOR, 1.18; 95% CI, 1.16-1.20). Finally, we found that readmission rates of patients decreased significantly after DRGs (large hospitals: aOR, 0.28; 95% CI, 0.26-0.29; small hospitals: aOR, 0.59; 95% CI, 0.56-0.63). Conclusion: The DRG payment system compared to fee-for-service payment in South Korea may be an alternative medical price policy which can reduce the LOS. However, government need to monitor inappropriate changes such as spillover increase. Since this study also is the results based on relatively simple surgery, insurer needs to compare or review bundled payment like new DRG for expansion of various inpatient-related diseases including internal medicine.

• 보건행정학회지
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• 제23권1호
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• pp.44-51
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• 2013

Background: This study designed to evaluate the homogeneity of Korean diagnosis related group (KDRG) version 3.4 classification system. Methods: The total 5,921,873 claims data submitted to the Health Insurance Review and Assessment Service during 2010 were used. Both coefficient of variation (CV) and reduction in variance of cost were measured for evaluation. This analysis was divided into before and after trimming outliers at the level of adjacent DRG (ADRG), aged ADRG (AADRG) split by age, and DRG split by complication and comorbidity. Results: At the each three level of ADRG, AADRG, and DRG, there were 38.9%, 38.7%, and 30.0% of which had a CV > 100% in the untrimmed data and there were 1.4%, 1.4%, and 1.9% in the trimmed one. Before trimming outliers, ADRGs explained 52.5% of the variability in resource use, AADRGs did 53.1% and DRGs did 57.1%. The additional explanatory power by age and comorbidity and complication (CC) split were 0.6%p and 4.6%p for each, which were statistically significant. After trimming outliers, ADRGs explained 75.2% of the variability in resource use, AADRGs did 75.6%, and DRGs did 77.1%. The additional explanatory power were 0.4%p and 2.0%p for each, which were statistically significant too. Conclusion: The results demonstrated that KDRG showed high homogeneity within groups and performance after trimming outliers. But there were DRGs CV > 100% after age or CC split and the most contributing factor to high performance of KDRG was the ADRG rather than age or CC split. Therefore, it is recommended that the efforts for improving clinical homogeneity of KDRG such as review of the hierarchical structure of classification systems and classification variables.

• 보건행정학회지
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• 제16권2호
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• pp.77-95
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• 2006

The present study was conducted to examine the degree of variation in length-of-stay (LOS) among health care institutions participating in 17 diagnosis-related groups (DRGs) payment system and to find out hospital characteristics affecting the variation. Electronic medical claims data for treatments of severity classification '0' of 17 DRGs provided for two $years(2003{\sim}2004)$ were collected. For each DRG, the degree of variation in average LOS among health care institutions were analyzed using the random effect model. For DRGs showing significant differences in LOS, multiple regression analyses were performed to find out factors associated with LOS. Significant variations in LOS were observed 9 DRGs including unilateral/bilateral lens procedures, adult/child tonsilectomy, other anal procedures, bilateral adult/child herniorraphy, unilateral child herniorraphy, and hysterectomy, and hysterectomy using laparoscopic procedure. Among the 9 DRGs, five DRGs were selected to investigate the factors explaining for the variation. It was observed that the location of institution was significant predictors for all five DRGs. Within the same DRGs, LOS was significantly shorter among the institutions located in Seoul than those in other areas. As compared to clinics, hospitals and general hospitals/tertiary care institutions showed significantly longer LOS for DRGs of lens procedures, tonsilectomy, and other anal procedures. It is recommended that the institutions located in other than Seoul area benchmark the strategies of the institution in Seoul in efficiently managing LOS. Also, significant variation within the same severity classification such as other anal procedures implies the imminent need for improvement of patient classification system.

• 보건행정학회지
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• 제28권2호
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• pp.178-185
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• 2018

Background: We investigated association between introduction of the diagnosis-related groups (DRG) system for anal operation and length of stay. Also, we investigated how it is different among hospitals with longer length of stay and among hospitals with shorter length of stay before introduction of the DRG system. Methods: We used data from Health Insurance Review and Assessment which were national health insurance claim data. Total 13,111 cases of anal surgery cases were included which were claimed by hospitals since July 2012 to June 2014. Two-level multivariable regression was conducted to analysis the association between length of stay and characteristics of hospital and patient. Results: Before introducing DRGs, the average length of stay was 5.41 days. After introducing DRGs, average length of stay was decreased to 3.92 days. After introducing DRGs, length of stay has decreased (${\beta}=-1.0450$, p<0.0001) and it was statistically significant. Among hospitals which had short length of stay (shorter than mean of length of stay) before introducing DRGs, effect of introducing DRGs was smaller (${\beta}=-0.4282$, p<0.0001). On contrary, among hospitals which had long length of stay (longer than mean of length of stay) before introducing DRGs, effect of introducing DRGs was bigger (${\beta}=-1.8280$, p<0.0001). Conclusion: Introducing DRGs was more effective to hospitals which had long length of stay before introducing DRGs.

• 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.

• 대한한의학회지
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• 제38권3호
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• pp.185-196
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• 2017

Backgrounds: Inpatient Classification System for Korean Medicine (KDRG-KM) was developed and has been applied for monitoring the costs of KM hospitals. Yet severity of patients' condition is not applied in the KDRG-KM. Objectives: This study aimed to develop the severity classification methods for KDRG-KM and assessed the explanation powers of severity adjusted KDRG-KM. Methods: Clinical experts panel was organized based on the recommendations from 12 clinical societies of Korean Medicine. Two expert panel workshops were held to develop the severity classification options, and the Delphi survey was performed to measure CCL(Complexity and Comorbidity Level) scores. Explanation powers were calculated using the inpatient EDI claim data issued by hospitals and clinics in 2012. Results: Two options for severity classification were deduced based on the severity classification principle in the domestic and foreign DRG systems. The option one is to classify severity groups using CCL and PCCL(Patient Clinical Complexity Level) scores, and the option two is to form a severity group with patients who belonged principal diagnosis-secondary diagnosis combinations which prolonged length of stay. All two options enhanced explanation powers less than 1%. For third option, patients who received certain treatments for severe conditions were grouped into severity group. The treatment expense of the severity group was significantly higher than that of other patients groups. Conclusions: Applying the severity classifications using principal diagnosis and secondary diagnoses can advance the KDRG-KM for genuine KM hospitalization. More practically, including patients with procedures for severe conditions in a severity group needs to be considered.

• 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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• 제23권2호
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• pp.103-111
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• 2013

Seven diagnosis-related groups (DRGs) prospective payment system is going to expand to all hospitals including university hospitals this year. However there are few studies on the change of practice pattern under prospective payment system in the university hospital setting. So This study was intended to predict the practice pattern change after the introduction of 7 DRGs prospective payment system in a university hospital setting. To predict the change of practice pattern, this study used simulation technique. Five hundred and nineteen patients classified as 5 DRGs in a university hospital were selected for simulation. The change of practice pattern were predicted based on clinicians' opinion. We also predicted payment change by service items. Major findings of this study are as follows. First, the total medical payment was reduced by 14.4%. The drug payment change (8.8%) took most of total payment reduction. The followings are the change of treatment material cost (3.2%), the change of laboratory tests cost (1.8%), the change of room charge (0.5%), and other payment change (0.1%), respectively. Second, most of the reduction in total medical payment resulted from the decreased amount of medical services themselves. The transfer of medical services to outpatient setting took up only 4.9% of the total payment reduction. The change of unit price or composition took up 5.5% of the total payment reduction. In this study we found that it is possible to reduce the inpatient services through practice pattern change in university hospital setting. However, it needs to be careful to adjust DRG payment after the reduction of provided services, because most of reduction was not due to service transfer but to service volume reduction. It is desirable to utilize the saving from practice pattern change as incentive to improve quality of care.