의학 온톨로지 라이브러리 구축: 만성폐쇄성폐질환 환자의 입원기록 용어분석
Development of a Medical Ontology Library: Analysis of the Clinical Terms in the Medical Records of a COPD Patient
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Abstract
Objective: The medical records of a patient with chronic obstructive pulmonary disease(COPD) were analyzed to extract medical concepts and their relationships in order to construct a basic medical ontology. Methods: The medical records included the admission note, vital signs record, doctors' order sheets, progress notes, emergency notes, discharge summary, surgical record, and anesthesia record. Results: A total of 396 concepts, 16 relationships, and 460 connections were created. Fourteen top-level concepts, such as body, sign, and procedure, were found. The most common relationship was 'isA' and the second was 'isPartOf''. All the relationships between the concepts were displayed using the graphic tool GraphViz. Conclusion: A pilot ontology on COPD was constructed through a medical record analysis. The asynchronous cooperation using a web interface for the ontology construction was helpful. (Journal of Korean Society of Medical Informatics 12-1,21-29, 2006)
참고문헌 (23)
- Park, RW, "Computerized physician order entry and electronic medical record systems in Korean teaching and general hospitals: results of a 2004 survey", J Am Med Inform Assoc, 6, pp.642~647 (2005)
- Chae, YM, "Survey on computerization for health institutions in Korea.", Seoul:Health Insurance Review Agency, pp.1~24 (2005)
- van Ginneken AM, "The computerized patient record: balancing effort and benefit", Int J Med Inform, 65(2), pp.97~119 (2002)
- Douglet P, Fieschi M., "Managing patient records. Introduction to clinical informatics", pp.24~56 (1997), New York:Springer-Verlag
- Hammond, WE, "Standards in medical informatics", pp.212~256 (2001), New York:Springer-Verlag
- WE, Hammond, "Managing health care: a view of tomorrow.", 9th World Congress on Medical Informatics:ISO press.Seoul, Korea., pp.18~22 (1998)
- Helles R, "The role of management in developing electromic nursing Informatics", 7th International Congress in Nursing Informatics, 28(3) (2000), Auckland, New Zealand.
- Gruber, TR, "A translation approach to portable ontology specification. Knowledge Acquisition .", pp.199~200 (1993)
- HK,Kim, "Ontology technology in medical informatics", Journal of Korean Society of Medical Informatics, 3, pp.213~219 (2003)
- "ICD-10" (2009)[URL]
- "UMLS" (2009)[URL]
- "SNOMED-CT" (2009)[URL]
- "Open GALEN" (2009)[URL]
- "GRAIL" (2009)[URL]
- Chin, HJ, "Standardization of main concept in chief complaint based on SNOMED- CT for utilization in eletronic medical record", Journal of Korean Society of Medical Informatics, 9(3), pp.235~247 (2003)
- Han, SB, "A comparative study on concept representation between the UMLS and the clinical terms in Korean medical records", pp.616~620 (2004), Medinfo
- Humphreys, BL, "Evaluating the coverage of controlled health data terminologies: report on the results of the NLM", AHCPR large scale vocabulary test, 1997, pp.4(6), 484~500
- "International Standards Organization(ISO). Terminology work--Vocabulary--Part 1: Theory and application (ISO 1087-1:2000)", pp.21~ (2005), Geneve: International Standards Organization(ISO)
- Kummar, V, "Robbins pathologic basis of disease.6th", pp.706~717 (1999), Piladelphia:Saunders
- "OBO(Open Biomedical Ontologies)" (2009)[URL]
- "BFO(Basic Formal Ontology)" (2009)[URL]
- "Graphviz tool" (2009)[URL]
- Rector, A, "Comprehensive approach to developing and inergation multiligual classifications: GALEN's classification workbench", J Am Med Inform Assoc 1998;Fall Symposium Special Issue:1115
