• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.4
• /
• pp.183-194
• /
• 2021

In this study, the conversion factor for 2020 is estimated based on an outpatient and inpatient conversion factor separation model developed from SGR and AR by using actual medical expense data. In addition, a policy plan is proposed to calculate the values of single and multiple conversion factors for each type of medical expense, and to effectively use the conversion factor separation model as one of the means to establish a medical delivery system. The major results are as follows. First, at r=0.1, the rate of adjustment in the hospital single conversion index in 2020 was 2.0%, and the outpatient and hospitalization conversion rates for hospitals were 2.2% and 2.3%, respectively. In addition, a combination of outpatient and inpatient conversion factors can be used for the adjustment. Second, as a measure to establish a medical delivery system, instead of adjusting the addition rate, a method of interlocking the addition rate and the conversion factor is proposed. Third, it is necessary to develop a model that enables target management of volumes, in addition to the outpatient conversion factor, the inpatient conversion factor, and the adjustment coefficient.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.2
• /
• pp.470-478
• /
• 2020

In this paper, a theoretical model that separates one single conversion factor into two conversion factors for both outpatients and inpatients is introduced. By using hypothetical numbers, two conversion factors and an adjustment factor were calculated. The major implications are as follows. Firstly, by introducing two conversion factors, a minimum incentive mechanism for admitting outpatients to a clinic and high risk inpatients to a hospital was installed. Secondly, the introduction of two conversion factors decreased the drive to admit outpatients to a hospital by reducing the economic benefits for the hospital. Thirdly, it is possible to make explicit contracts for several factors rather than a single conversion factor, so that it can be used as an appropriate management tool for rapidly increasing medical expenses. Finally, this research can be used to set up policy tools to establish a proper healthcare delivery system in Korea by inducing behavioral changes in healthcare institutions.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.10 no.6
• /
• pp.1304-1316
• /
• 2009

This study is for the pursuit of the basic application of the efficient conversion factor in the fee contract. This aims to investigate the effects of DEA efficiency index and conversion factors to identify and group the 60 hospitals with intern and residents education. To achieve the aims, AHP was used to select the inuput and output variables for DEA. It was found that the more inefficient in the technical and scale side, the higher the conversion factors were. Conversion factor and DEA efficiency index can be used very effectively to group and discriminant hospitals into a specialized general hospital and a general hospital. Even if the variables used to calculate DEA efficiency are applied to discriminant analysis, The conversion factor and DEA efficiency index have a significant power to make a function modeling. So, if we can make a more conclusive proof based on the large number samples, We can imagine to introduce a efficiency concept in the insurance fee contracts about a conversion factor in Korea Health Insurance System.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.12 no.1
• /
• pp.125-137
• /
• 2011

This study aims to know whether the Accreditation of Hospitals can help to improve productivity of hospital and affect the conversion factor. Based on the Malmquist productivity Index, the productivity of accredited hospital improves. There exists an tendency that as the scores of Accreditation rises, productivity increases. Also the higher the productivity, the lower the conversion factors in the rigid statistical evidence. This evidence is independent of hospital classification, geographical distribution, grouping. This evidence supports the productivity index can be included in the fee negotiations. It also means that rather than static efficiency, the multi-year change of productivity information can be usefully combined to set a conversion factor in Korean National Insurance Contract especially in the discussion of the structural change of payment system.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.4
• /
• pp.201-209
• /
• 2020

In this study, issues related to changes in base year, which have controversial effects on fees in service contracts, were reviewed. In this regard, sensitivity analysis was conducted on the effects of changes in base year on conversion factor by type. The benefits and disadvantages of each specific type of medical institution were examined. Main conclusions are as follows. First, changing the base year to be closer to the present time had a beneficial effect on the conversion factor of hospitals. Second, changing the base year to be closer to the current point of time had an adverse effect on the conversion factor of pharmacies and clinics and had a significant adverse effect on clinics. Third, assuming that a single conversion factor is collectively applied to all types, a favorable effect occurred in all cases when the base year was changed to be closer to the present time. Base year changes can bring about conflicts of interest between insurer and providers, and within providers. Therefore, changing the base year should be pursued upon mutual agreement on a reasonable basis for resource allocation. In addition, it is necessary to provide incentives for temporary compensation for the types of losses incurred.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.11 no.7
• /
• pp.2406-2419
• /
• 2010

This study aims to elevate the usefulness of the current annual Accreditation of Hospitals. To achieve this purpose, A modeling of an efficiency analysis based on DEA and AHP to the Accreditation of Hospitals Data from 2004 to 2008. By applying to AHP and DEA_AR to the scores derived from the various domains in data, An adequate prediction model about conversion factor in fee contract is made. By summarizing information derived from DEA, factor analysis and Generalized Linear Model, The linear functions combining conversion factor and efficiency index is successfully established. The factor analysis with AHP was used to merge diverse scores from the domains of evaluation. Not only the input and output initially introduced, AHP scores, dummy variables of hospital classification, geographical location are effective variables to forecast a conversion factor. If a predicted conversion factors from efficiency is used, It will be a great contributions to the annul doctor's fee contract.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.9 no.2
• /
• pp.535-543
• /
• 2008

This study aims to derive the conversion factor of oriental medicine based on the publicly available information to overcome the problem of the small sample size and reliability of cost analysis which spend much data gathering expense in spite of small sample. This study confirms the fairness and validity of results of analysis by using the publicly available information composed of large sample. Because of the large variation of the conversion factor depending on the types of data and methodologies, it is required to use the analysis using publicly available information in company with the cost analysis. build the health data system for cost analysis. For more reasonable conversion factor, it is urgent to construct the healthcare data system including the individual oriental medicine office.

• Journal of the Korean hospital association
• /
• v.33 no.1 s.287
• /
• pp.87-93
• /
• 2004

• 레미콘
• /
• no.4 s.47
• /
• pp.103-110
• /
• 1996

• Proceedings of the Korea Water Resources Association Conference
• /
• 2006.05a
• /
• pp.1520-1524
• /
• 2006

ENSO(El $Ni\check{n}o$ Southern Oscillation)은 태평양상의 해양과 대기간의 복잡한 상호작용의 일부이며, ENSO 순환(ENSO cycle)의 극한상태인 엘니뇨와 라니냐는 세계적으로 발생하는 홍수와 가뭄 등 자연재해와 많은 연관성을 가지고 있음이 많은 연구를 통하여 알려지고 있다. 우리나라에서도 ENSO와 수문변량들간의 관계를 분석하는 연구가 활발히 진행되고 있는데, 수문자료의 변동계수가 크기 때문에 이를 단순 표준화하여 해석하는데 있어 어려움이 있다. 본 연구에서는 자료의 표준정규분포화를 통하여 ENSO와 우리나라 수문변량들간의 관계를 분석하였다. ENSO를 정량적으로 표준지수화하기 위하여 적도부근 남태평양 Tahiti섬과 오스트레일리아 북부 Darwin 지역에서의 기압차를 월별로 표준화(standardization)한 SOI(Southern Oscillation Index)지수를 이용하였고, 수문자료를 정량적으로 표준지수화하기 위하여 우리나라 23개 기상관측소의 월강수량, 12개 기상관측소의 월평균기온, 월최저기온, 월최고기온 자료를 이용하여 표준정규분포를 가지는 표준정규지수로 환산하였다. 환산된 자료의 계절적 영향을 파악하고자 3개월 단위로 구분하여, 초과확률 등을 이용한 분석을 실시한 결과, 특정지역의 수문변동이 남방진동지수와 유의한 상관관계를 가짐을 확인할 수 있었다. 이러한 결과는 현재 많은 연구가 진행되고 있는 수문기상학적 예측모형의 개발에 유용한 정보를 제공해 줄 수 있을 것이다.