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김진현,김은혜,김윤희,Kim, Jin-Hyun,Kim, Eun-Hye,Kim, Yoon-Hee 대한예방한의학회 2010 대한예방한의학회지 Vol.14 No.1
Objectives : This paper recommends a global budget based payment system for reimbursing oriental medical services in the national health insurance. Methods : We analyzed previous research outcomes related to oriental medical services and payment system We reviewed the experiences of other countries' global budget system in terms of their strength and weakness. In addition, we developed a reimbursement method for oriental medical services based on global budget. Results : Our reviews focused on global budget system of Germany, the Netherlands, the United Kingdom, Canada, France, and Taiwan. The estimation of global budget in the national health insurance was described in two scenarios. First scenario was to allocate oriental medical services in scale after signing a contract for global budget. In this case, 4.16% of the national health insurance expenditure was allocated for the oriental medical services. Second scenario was to estimate the global budget in a historical context. As a result, the first scenario in total budget was higher than the second, and we proposed a retrospective adjustment method for the gap between the budget and the actual expenditure Conclusions : The payment system for oriental medical services is recommended to shift from fee-for-service to global budget.
김진현,김철,김상균,장현철,한정민,예상준,송미영,Kim, Jin-Hyun,Kim, Chul,Kim, Sang-Kyun,Jang, Hyun-Chul,Han, Jeong-Min,Yea, Sang-Jun,Song, Mi-Young 대한예방한의학회 2009 대한예방한의학회지 Vol.13 No.3
Objectives : In this study, we survey papers about the combined therapy of oriental medicine and western medicine in oriental medicine viewpoint. Methods : First, we collected research papers on combined treatment, and we found 70 papers in the two internet sites, 'OASIS' and 'KISTI', using the keywords 'combined treatment', 'collaborated diagnosis', 'oriental-western medicine', and 'western-oriental medicine'. Then we analyzed them according to year, oriental-western medicine, diseases, research methods and subjects. Results & Conclusions : Researches for combined therapy had some problems as follows : First, studies have been made only for limited diseases like cancer, infection, stroke, etc. Second, methods of research are also limited. Some methods such as in vivo, in vitro and case-report are used repeatedly. Third, only the positive aspects of the combined therapy are proposed. We don't find the side effects of the combined therapy at all. To solve these problems, more objective and balanced studies such as RCT for various diseases should be performed.
바이오매스로부터 파클리탁셀 회수를 위한 전통적 용매 추출, 마이크로웨이브를 이용한 추출, 초음파를 이용한 추출 방법 비교
김진현,Kim, Jin-Hyun 한국화학공학회 2020 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.58 No.2
본 연구에서는 바이오매스로부터 파클리탁셀 회수를 위한 전통적 용매 추출(conventional solvent extraction, CSE), 마이크로웨이브를 이용한 추출(microwave-assisted extraction, MAE), 초음파를 이용한 추출(ultrasound-assisted extraction, UAE) 방법을 비교하였다. 추출 용매 종류(아세톤, 클로로포름, 에탄올, 메탄올, 메틸렌 클로라이드)에 따른 영향을 조사한 결과, 메탄올이 모든 추출 방법에서 가장 적합하였다. 메탄올을 이용한 MAE와 UAE의 경우, 단 1회의 추출로 대부분의 파클리탁셀 회수(>95%)가 가능하였다. 또한 MAE와 UAE의 경우 추출 온도(25-45 ℃), 마이크로웨이브 파워(50-150 W), 초음파 파워(180-380 W)의 증가에 따라 파클리탁셀 회수율이 증가하였다. 또한 SEM 분석을 통해 바이오매스 표면을 조사한 결과, 표면 구조가 CSE의 경우에는 조금 주름진 형태를 보인 반면 MAE와 UAE의 경우에는 강한 충격으로 매우 거칠고 파괴된 형태를 보였다. In this study, conventional solvent extraction (CSE), microwave-assisted extraction (MAE), and ultrasound-assisted extraction (UAE) were compared for the recovery of paclitaxel from biomass. As a result of investigating the effect of the extraction solvent type (acetone, chloroform, ethanol, methanol, methylene chloride), methanol was the most suitable for all extraction methods. In the case of MAE and UAE using methanol, most of the paclitaxel (> 95%) was recovered by only one extraction. The recovery rate of paclitaxel increased with the increase of extraction temperature (25-45 ℃), microwave power (50-150 W), and ultrasonic power (180-380 W) for MAE and UAE. In addition, SEM analysis showed that the biomass surface structure was slightly corrugated in CSE, while in the MAE and UAE, it was very rough and destroyed by strong impact.
김진현,최병호,Kim, Jin-Hyun,Choi, Byung-Ho 대한예방한의학회 2006 대한예방한의학회지 Vol.10 No.2
The purpose of this paper is to review the empirical study results of conversion factors(unit prices) for relative values of health care services in the national health insurance system and establish optimal classification of health care institutions for feasible contract of conversion factors between National Health Insurance Corporation(NHIC) and provider groups, based on legal backgrounds and types of health care service delivery system. some empirical research evidences shows the validity of applying multiple conversion factors to annual contract for reimbursement in the national health insurance. Policy recommendations suggest that clinic, hospital, general hospital, tertiary hospital, dental clinic, oriental medical clinic, pharmacy, and public health centers would be a basic category of provider groups for a meaningful price contract between the NHIC and providers.
맵리듀스 프레임웍 상에서 맵리듀스 함수 호출을 최적화하는 순차 패턴 마이닝 기법
김진현,심규석,Kim, Jin-Hyun,Shim, Kyu-Seok 한국정보처리학회 2011 정보처리학회논문지D Vol.18 No.2
시퀀스(sequence) 데이터가 주어졌을 때 그 중에서 빈번(frequent)한 순차 패턴을 찾는 순차 패턴 마이닝(sequential pattern mining)은 여러 어플리케이션(application)에 사용되는 중요한 데이터마이닝 문제이다. 순차 패턴 마이닝은 웹 접속 패턴, 고객 구매 패턴, 특정 질병의 DNA 시퀀스를 찾는 등 광범위한 분야에서 사용된다. 본 논문에서는 맵리듀스(MapReduce) 프레임웍 상에서 맵리듀스 함수 호출을 최적화하는 순차 패턴 마이닝 알고리즘을 개발하였다. 이 알고리즘은 여러 대의 기계에 데이터들을 분산시켜 병렬적으로 빈번한 순차 패턴을 찾는다. 실험적으로 다양한 데이터를 이용하여 파라미터 값을 변화시켜가며 제안된 알고리즘의 성능을 종합적으로 확인하였다. 그리고 실험 결과를 통해 제안된 알고리즘은 기계 수에 대해 선형적인 속도 개선을 보인다는 것을 확인하였다. Sequential pattern mining that determines frequent patterns appearing in a given set of sequences is an important data mining problem with broad applications. For example, sequential pattern mining can find the web access patterns, customer's purchase patterns and DNA sequences related with specific disease. In this paper, we develop the sequential pattern mining algorithms using MapReduce framework. Our algorithms distribute input data to several machines and find frequent sequential patterns in parallel. With synthetic data sets, we did a comprehensive performance study with varying various parameters. Our experimental results show that linear speed up can be achieved through our algorithms with increasing the number of used machines.