LOINC 매핑 알고리즘의 개발과 적용
Development and Adoption of a LOINC Mapping Algorithm
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초록
Objectives: LOINC?(Logical Observations Identifiers, Names, Codes) is being used as the global standard for sharing laboratory test information and standardization. However, difficulties have been encountered in transferring local code to LOINC. Use in existing laboratory information systems(LIS) is possible with maximized local codes and LOINC mapping. Since the existing mapping tool has parts that do not match domestic medical environments, it is difficult to use without modification or supplementation. To this end, we have developed algorithms for LOINC mapping and have evaluated their usefulness. Methods: We used 2,376 M-codes transformed from Pusan National University Hospital’s 1,150 local codes, and codes from various laboratory test domains(Diagnostic Hematology, Clinical Chemistry, Seroimmunology, Molecular and Cytogenetics, Microbiology, Transfusion Medicine). In materializing the automatic mapping algorithms, spread sheet programs(Excel, Microsoft) and existing mapping tools(RELMA, Regenstrief) were used. The accuracy of the mapped codes was verified by a specialist of the Laboratory Medicine Department. Results: Of the 2,376 M-codes, mapping on LOINC was found to be possible for 78.7%(1,871) while LOINC corresponding with the local codes could not be found for 21.3%(505). Of the mapped codes, 90.8%(1,699) were mapped accurately automatically, while the rest were mapped manually. Conclusions: The LOINC mapping algorithm that was developed in this study was useful for mapping various forms of local code with LOINC.
Abstract
Objectives: LOINC?(Logical Observations Identifiers, Names, Codes) is being used as the global standard for sharing laboratory test information and standardization. However, difficulties have been encountered in transferring local code to LOINC. Use in existing laboratory information systems(LIS) is possible with maximized local codes and LOINC mapping. Since the existing mapping tool has parts that do not match domestic medical environments, it is difficult to use without modification or supplementation. To this end, we have developed algorithms for LOINC mapping and have evaluated their usefulness. Methods: We used 2,376 M-codes transformed from Pusan National University Hospital’s 1,150 local codes, and codes from various laboratory test domains(Diagnostic Hematology, Clinical Chemistry, Seroimmunology, Molecular and Cytogenetics, Microbiology, Transfusion Medicine). In materializing the automatic mapping algorithms, spread sheet programs(Excel, Microsoft) and existing mapping tools(RELMA, Regenstrief) were used. The accuracy of the mapped codes was verified by a specialist of the Laboratory Medicine Department. Results: Of the 2,376 M-codes, mapping on LOINC was found to be possible for 78.7%(1,871) while LOINC corresponding with the local codes could not be found for 21.3%(505). Of the mapped codes, 90.8%(1,699) were mapped accurately automatically, while the rest were mapped manually. Conclusions: The LOINC mapping algorithm that was developed in this study was useful for mapping various forms of local code with LOINC.
참고문헌 (12)
- Kwak YS, "Electronic Health Record: Definition, Categories and Standards", J Kor Soc Med Informatics, 11(1), pp.1~15 (2005)
- Emons MF, "Integrated patient data for optimal patient management: the value of laboratory data in quality improvement", Clin Chem, 47(8), pp.1516~1520 (2001)
- [URL]
- Forrey AW, "Logical observation identifier names and codes (LOINC) database: a public use set of codes and names for electronic reporting of clinical laboratory test results", Clin Chem, 42(1), pp.81~90 (1996)
- Lau LM, "A method for the automated mapping of laboratory results to LOINC", Proc AMIA Symp, pp.472~476 (2000)
- McDonald CJ, "LOINC, a universal standard for identifying laboratory observations: a 5‐year update", Clin Chem, 49(4), pp.624~633 (2003)
- Overhage JM, "Electronic laboratory reporting: barriers, solutions and findings", J Public Health Manag Pract, 7(6), pp.60~66 (2001)
- Khan AN, "Bertolli J. Standardizing laboratory data by mapping to LOINC", J Am Med Inform Assoc, 13(3), pp.353~355 (2006)
- Zollo KA, "Automated mapping of observation codes using extensional definitions", J Am Med Inform Assoc, 7(6), pp.586~592 (2000)
- [URL]
- Khan AN, "Griffith SP, Bertolli J. The map to LOINC project", AMIA Annu Symp Proc, pp.890~ (2003)
- Frassica JJ, "Frequency of laboratory test utilization in the intensive care unit and its implications for large‐scale data collection efforts", J Am Med Inform Assoc, 12(2), pp.229~233 (2005)