SNOMED CT를 사용한 고혈압 관리 의사결정 규칙에 사용된 개념 표현
Concept representation of decision logic for hypertension management using SNOMED CT
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초록
Objective: To obtain sharable and reusable knowledge among various hospital information systems, it is essential to represent each term with standard terminology. To support knowledge representation for interoperable clinical decision support system for hypertension management, the feasibility of SNOMED CT was evaluated. Methods: Concept matching was conducted using the method of direct matching, post-coordinated matching and general matching. For semantic matching, the SNOMED CT hierarchy was considered, and for raising the mapping rate, preferred terms and synonyms were used. Results: Excluding the recommendation concepts that were not used in clinical data, finally 182 concepts were evaluated in terms of concept matching. Seventy two percent of the concepts was directly matched to pre-coordinated concepts in SNOMED CT. For the post-coordinated matching and the general matching to broader meaning, 9.3% and 18.7% were covered respectively. Conclusion: The direct coverage of SNOMED CT was moderate to high level for representing guideline knowledge concepts without loss of semantics. To supplement the coverage, it is inevitable to consider defining local concepts for implementing hypertension management systems.
Abstract
Objective: To obtain sharable and reusable knowledge among various hospital information systems, it is essential to represent each term with standard terminology. To support knowledge representation for interoperable clinical decision support system for hypertension management, the feasibility of SNOMED CT was evaluated. Methods: Concept matching was conducted using the method of direct matching, post-coordinated matching and general matching. For semantic matching, the SNOMED CT hierarchy was considered, and for raising the mapping rate, preferred terms and synonyms were used. Results: Excluding the recommendation concepts that were not used in clinical data, finally 182 concepts were evaluated in terms of concept matching. Seventy two percent of the concepts was directly matched to pre-coordinated concepts in SNOMED CT. For the post-coordinated matching and the general matching to broader meaning, 9.3% and 18.7% were covered respectively. Conclusion: The direct coverage of SNOMED CT was moderate to high level for representing guideline knowledge concepts without loss of semantics. To supplement the coverage, it is inevitable to consider defining local concepts for implementing hypertension management systems.
참고문헌 (24)
- Greenes RA, "Ontologies, vocabularies, and data models, Clinical Decision Support: The Road Ahead", pp.307~324 (2007), Academic press
- Elkin PL, "Evaluation of the content of SNOMED CT: ability of SNOMED clinical terms to represent clinical problem lists", Mayo Clin Proc, 81(6), pp.741~748 (2006)
- Musen MA, "Development of a controlled medical terminology: knowledge acquisition and knowledge representation", Methods Inf Med, 34, pp.85~95 (1995)
- Poliy DF, "The content validity index: are you sure you know what's being reported? Critique and recommendations", Research in Nursing & Health, 29, pp.489~497 (2006)
- Tu SW, "The SAGE guideline model: achievements and overview", J Am Med Inform Assoc, 14(5), pp.589~598 (2007)
- Spackman KA, "Compositional concept representation using SNOMED: towards further convergence of clinical terminologies", J Am Med Inform Assoc, pp.740~744 (1998)
- Elkin PL, "A formal representation for messages containing composition expressions", Int J of Med Inf, 71, pp.89~102 (2003)
- Greenes RA, "Grouped knowledge elements, Clinical Decision Support: The Road Ahead", pp.307~324 (2007), Academic press
- Allen M, "The classification of clinician's information needs while using a clinical information system", Proc AMIA Fall Symp, pp.26~30
- Cho I, "Approach to the requirements of a decision support system for hypertension management in a health center", Kor J Med Inform Assoc, 13(3), pp.259~269 (2007)
- Tu SW, "SAGE guideline modeling: motivation and methodology", Stud Health Technol Inform, 101, pp.167~171 (2004)
- Hrabak KM, "Creating interoperable guidelines: requirements of vocabulary standards in immunization decision support", Medinfo, 12(2), pp.930~934 (2007)
- Kim H, "Ontology technology in medical informatics", Kor J Med Inform Assoc, 9(3), pp.213~219 (2003)
- Elkin PL, "Automated enhancement of description logic defined terminologies to facilitate mapping to ICD9-CM", J of Biomed inform, 35, pp.281~288 (2003)
- Kawamoto K, "Integration of knowledge resources into applications to enable clinical decision support: architectural consideration. Clinical Decision Support: The Road Ahead", Harvard Medical School and BWH, pp.503~538 (2007)
- Fung KW, "Integrating SNOMED CT into the UMLS: anexploration of different views of synonymy and quality of editing", J Am Med Inform Assoc, 2(4), pp.486~494 (2005)
- Rosenbloom ST, "Interface terminologies: facilitating direct entry of clinical data into electronic health record systems", J Am Med Inform Assoc, 13(3), pp.277~288 (2006)
- Andrews JE, "Variation of SNOMED CT coding of clinical research concepts among coding experts", J Am Med Inform Assoc, 14(4), pp.497~506 (2007)
- "SNOMED Clinical termsⓇ User Guide" (2007), College of American Pathologists
- The Korean Society of Hypertension, "2004 Korean Hypertension Treatment Guidelines" (2004), The Korean Society of Hypertension
- World Health Organization, "International Society of Hypertension Writing Group. 2003 World Health Organization", International Society of Hypertension statement on management of hypertension, 2003, pp.21, 1983~1992
- The Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure, , National Institutes of Health, ~, pp.JNC7 (2004)
- Kaplan N, "Kaplan's clinical hypertension. 9th ed" (2006), Lippincott Williams & Wilkins
- Kim H, "Matching between the concepts of knowledge representation for a hypertension guideline and SNOMED CT", Proc annual symp Am Med Inform Assoc (2008)