• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.833-834
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• 2013

진료데이터는 진료를 보면서 축척된 데이터로서 다양한 병명들에 대한 의사들의 진료행위를 추적해 볼 수 있는 유용한 정보가 될 수 있으며, 진료에 재활용함으로써 환자들에 대한 진료행위를 표준화하는데 사용될 수 있다. 본 연구에서는 다양한 상황에서 환자를 진료한 근거자료인 진료데이터를 이용하여 병원에서 활용 가능한 임상진료데이터를 추출하기 위한 방법에 대한 연구를 진행하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.298-300
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• 2013

IHE(Integrating the Healthcare Enterprise)의 XDS.b(Cross-Enterprise Document Sharing.b) 프로파일은 의료기관간 환자의 전자진료기록을 공유하기 위해 개발되었으나 모바일 환경을 고려하지 않았다. 이를 보완하고자 IHE에서는 모바일기기에서도 전자진료기록을 공유할 수 있는 MHD(Mobile access to Health Documents) 프로파일을 개발했다. XDS.b 메타데이터는 ebXML(electronic business XML)을 사용하고 MHD 메타데이터는 JSON(JavaScript Object Notation)을 사용하므로 MHD와 XDS.b를 연동하기 위해서는 MHD 메타데이터를 XDS.b 메타데이터로 변환이 필요하다. 본 논문에서는 MHD 메타데이터를 XDS.b 메타데이터로 변환하는 규칙을 정의했다.

• Journal of the Korea Society of Computer and Information
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• v.17 no.9
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• pp.157-164
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• 2012

Recently medical service environment, the clinical information exchange which contribute to medical safety, promotion of service quality and patient's convenience, efficiency of medical procedures and medical management is essential medical service model. But, practical exchange of clinical information which variation of information level, absence of standardization system, build of heterogeneous information systems is difficult in each medical institute. In this paper, We analyzed the related technical standardizations and the models of clinical information exchange. So, we designed the clinical information exchange system based on the ideal lazy response model which is aimed at vitalizations the exchange of clinical information under domestic law environment. In case of exchange the clinical information, we separate CDA document flow from metadata flow. As a experimental result we acquired 24% improved performance compared with existed system based on the lazy response model.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10a
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• pp.234-236
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• 2000

최근 국내의 모든 병원에서 PACS(Picture Atchiving and Communication System) 도입에 관한 관심을 보이고 있다. PACS가 구축이 되면 병원 내 모든 진료 과에서 디지털 데이터의 전송으로 정보를 공유할 수 있고, 진료가 자동화 되는 장점이 있다. 하지만, 환자가 다른 병원으로 이송될 경우 과거 진료 내역을 다른 병원으로 함께 전송하여야 되는데, 다른 병원의 시스템과 연계할 방법이 현재로는 존재하지 않는다. HIES 시스템은 의료 데이터 전송의 표준문서로 XML(eXtensible Markup Language)을 제안하고 있다. XML은 문서를 정의하는 메타 마크업(meta-markup) 언어로써 DICOM 프로토콜을 통하여 산출된 의료 데이터를 표현하기에 적당하다. 또한 병원 간 이질 데이터베이스 시스템 통합을 위하여 일관된 스키마 정보를 유지하는 정보 공유 관리자를 설계, 구현하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06a
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• pp.367-369
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• 2006

정보통신 및 무선 통신기기의 발달과 더불어 원격지에서 환자를 진단하고 치료하는 원격 진료 시스템에 관한 연구가 전 세계적으로 활발히 진행 중이다. 특히 서로 다른 기관으로부터의 분산된 의료 정보들 간의 통신을 위해서는 데이터를 통할시키는 것이 급선무다. 본 연구는 분산된 이질적인 의료 정보의 효과적인 관리를 위해 통합 메타데이터 카탈로그를 통한 검색 엔진을 설계하는데 중점을 두었다. 이를 통해 각 병원 데이터 형식의 일괄적인 변환 없이도 통찰 검색 환경을 사용할 수 있으며, 향후 시스템 개발에 있어서도 확장성이 용이하다.

• Korean Journal of Clinical Laboratory Science
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• v.48 no.4
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• pp.348-354
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• 2016

Data stored in hospital information systems has a great potential to improve adequacy assessment and quality management. Moreover, an establishment of a data warehouse has been known to improve quality management and to offer help to clinicians. This study constructed a data mart that can be used to analyze antibiotic usage as a part of systematic and effective data analysis of infection control information. Metadata was designed by using the XML DTD method after selecting components and evaluation measures for infection control. OLAP-a multidimensional analysis tool-for antibiotic usage analysis was developed by building a data mart through modeling. Experimental data were obtained from data on antibiotic usage at a university hospital in Cheonan area for one month in July of 1997. The major components of infection control metadata were antibiotic resistance information, antibiotic usage information, infection information, laboratory test information, patient information, and infection related costs. Among them, a data mart was constructed by designing a database to apply antibiotic usage information to a star schema. In addition, OLAP was demonstrated by calculating the statistics of antibiotic usage for one month. This study reports the development of a data mart on antibiotic usage for infection control through the implementation of XML and OLAP techniques. Building a conceptual, structured data mart would allow for a rapid delivery and diverse analysis of infection control information.

• Knowledge Management Research
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• v.23 no.3
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• pp.129-152
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• 2022

As a key infrastructure for digital transformation, the spread of data, network, artificial intelligence (D.N.A.) fields and the emergence of promising industries are laying the groundwork for active digital innovation throughout the economy. In this study, by applying the text mining methodology, major topics were derived by using the abstract, publication year, and research field of the study corresponding to the SCIE, SSCI, and A&HCI indexes of the WoS database as input variables. First, main keywords were identified through TF and TF-IDF analysis based on word appearance frequency, and then topic modeling was performed using g-DMR. With the advantage of the topic model that can utilize various types of variables as meta information, it was possible to properly explore the meaning beyond simply deriving a topic. According to the analysis results, topics such as business intelligence, manufacturing production systems, service value creation, telemedicine, and digital education were identified as major research topics in digital transformation. To summarize the results of topic modeling, 1) research on business intelligence has been actively conducted in all areas after COVID-19, and 2) issues such as intelligent manufacturing solutions and metaverses have emerged in the manufacturing field. It has been confirmed that the topic of production systems is receiving attention once again. Finally, 3) Although the topic itself can be viewed separately in terms of technology and service, it was found that it is undesirable to interpret it separately because a number of studies comprehensively deal with various services applied by combining the relevant technologies.