Development and Adoption of a LOINC Mapping Algorithm.
- Author:
Shine Young KIM
1
;
Hyung Hoi KIM
;
Eun Yeoup LEE
;
Chul L hune CHANG
;
Hwa Sun KIM
;
Hune CHO
Author Information
1. Department of Laboratory Medicine and Biomedical informatics, College of Medicine, Pusan National University, Korea.
- Publication Type:Original Article
- Keywords:
LOINC;
Laboratory test;
Mapping;
Algorithm
- MeSH:
Adoption;
Chemistry, Clinical;
Cytogenetics;
Hematology;
Logical Observation Identifiers Names and Codes;
Specialization
- From:Journal of Korean Society of Medical Informatics
2008;14(2):123-135
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
OBJECTIVES: LOINC(R)(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.
