• Asian Pacific Journal of Cancer Prevention
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• v.15 no.6
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• pp.2935-2937
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• 2014

Studies of the causes of cancer, early detection, prevention or treatment need accurate, comprehensive, and timely cancer data. The clinical laboratory provides important cancer information needed for physicians which influence clinical decisions regarding treatment, diagnosis and patient monitoring. Poor communication between health care providers and clinical laboratory personnel can lead to medical errors and wrong decisions in providing cancer care. Because of the key impact of laboratory information on cancer diagnosis and treatment the quality of the tests, lab reports, and appropriate lab management are very important. A laboratory information management system (LIMS) can have an important role in diagnosis, fast and effective access to cancer data, decrease redundancy and costs, and facilitate the integration and collection of data from different types of instruments and systems. In spite of significant advantages LIMS is limited by factors such as problems in adaption to new instruments that may change existing work processes. Applications of intelligent software simultaneously with existing information systems, in addition to remove these restrictions, have important benefits including adding additional non-laboratory-generated information to the reports, facilitating decision making, and improving quality and productivity of cancer care services. Laboratory systems must have flexibility to change and have the capability to develop and benefit from intelligent devices. Intelligent laboratory information management systems need to benefit from informatics tools and latest technologies like open sources. The aim of this commentary is to survey application, opportunities and necessity of intelligent clinical laboratory as a tool to increase cancer care management productivity.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.437-441
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• 2014

몽골은 현재 국민에 대한 의료 평등이 잘 되어있지 않다. 몽골의 의료 기관은 1,2,3차 기관 세 종류가 있는데 1차는 기본기관, 2,3차는 전문기관이다. 하지만 전문기관은 도시에만 존재하기 때문에 도시권 외 주민들은 전문기관의 의료 서비스를 받기가 매우 힘들다. 게다가 해외 의료 기관들도 모두 수도 울란바토르에 집중되어 있기 때문에 그 격차는 더욱 더 심해진다. 이러한 의료 불평등을 조금이라도 해소하기 위하여 제안하는 것이 'M-LIMS' 이다. 'M-LIMS'는 기본적으로 이동식 병원이다. 'M-LIMS'에서는 환자 진료를 위한 몇 가지 기능을 제공한다. 첫 번째로 환자 관리를 위한 환자용 차트 작성이다. 두 번째로는 환자들의 진료 상황을 볼 수 있는 리스트 검색 및 공유 기능이다. 세 번째로는 환자들의 데이터들을 이용하여 규격화 된 차트로 변환하는 차트 작성 기능이다. 그리고 네 번째로는 차량 내 의사뿐이 아닌 다른 의사도 진료에 참여 할 수 있는 원격 진료 기능이다. 이렇듯 'M-LIMS'의 기능을 이용한다면 몽골의 의료 평등에 한 걸음 더 기여를 할 수 있지 않을까 기대를 한다.

• Genomics & Informatics
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• v.5 no.2
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• pp.83-87
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• 2007

The analysis of DNA microarray data is a rapidly evolving area of bioinformatics, and various types of microarray are emerging as some of the most exciting technologies for use in biological and clinical research. In recent years, microarray technology has been utilized in various applications such as the profiling of mRNAs, assessment of DNA copy number, genotyping, and detection of methylated sequences. However, the analysis of these heterogeneous microarray platform experiments does not need to be performed separately. Rather, these platforms can be co-analyzed in combination, for cross-validation. There are a number of separate laboratory information management systems (LIMS) that individually address some of the needs for each platform. However, to our knowledge there are no unified LIMS systems capable of organizing all of the information regarding multi-platform microarray experiments, while additionally integrating this information with tools to perform the analysis. In order to address these requirements, we developed a web-based LIMS system that provides an integrated framework for storing and analyzing microarray information generated by the various platforms. This system enables an easy integration of modules that transform, analyze and/or visualize multi-platform microarray data.