Logical Observation Identifiers Names and Codes (LOINC<sup>®</sup>) Applied to Microbiology: A National Laboratory Mapping Experience in Taiwan
Background and Objective: Logical Observation Identifiers Names and Codes (LOINC) is a universal standard for identifying laboratory tests and clinical observations. It facilitates a smooth information exchange between hospitals, locally and internationally. Although it offers immense benefits for p...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | Diagnostics |
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| Online Access: | https://www.mdpi.com/2075-4418/11/9/1564 |
| _version_ | 1797519732510818304 |
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| author | Chih-Yang Yeh Syu-Jyun Peng Hsuan Chia Yang Mohaimenul Islam Tahmina Nasrin Poly Chien-Yeh Hsu Stanley M. Huff Huan-Chieh Chen Ming-Chin Lin |
| author_facet | Chih-Yang Yeh Syu-Jyun Peng Hsuan Chia Yang Mohaimenul Islam Tahmina Nasrin Poly Chien-Yeh Hsu Stanley M. Huff Huan-Chieh Chen Ming-Chin Lin |
| author_sort | Chih-Yang Yeh |
| collection | DOAJ |
| description | Background and Objective: Logical Observation Identifiers Names and Codes (LOINC) is a universal standard for identifying laboratory tests and clinical observations. It facilitates a smooth information exchange between hospitals, locally and internationally. Although it offers immense benefits for patient care, LOINC coding is complex, resource-intensive, and requires substantial domain expertise. Our objective was to provide training and evaluate the performance of LOINC mapping of 20 pathogens from 53 hospitals participating in the National Notifiable Disease Surveillance System (NNDSS). Methods: Complete mapping codes for 20 pathogens (nine bacteria and 11 viruses) were requested from all participating hospitals to review between January 2014 and December 2016. Participating hospitals mapped those pathogens to LOINC terminology, utilizing the Regenstrief LOINC mapping assistant (RELMA) and reported to the NNDSS, beginning in January 2014. The mapping problems were identified by expert panels that classified frequently asked questionnaires (FAQs) into seven LOINC categories. Finally, proper and meaningful suggestions were provided based on the error pattern in the FAQs. A general meeting was organized if the error pattern proved to be difficult to resolve. If the experts did not conclude the local issue’s error pattern, a request was sent to the LOINC committee for resolution. Results: A total of 53 hospitals participated in our study. Of these, 26 (49.05%) used homegrown and 27 (50.95%) used outsourced LOINC mapping. Hospitals who participated in 2015 had a greater improvement in LOINC mapping than those of 2016 (26.5% vs. 3.9%). Most FAQs were related to notification principles (47%), LOINC system (42%), and LOINC property (26%) in 2014, 2015, and 2016, respectively. Conclusions: The findings of our study show that multiple stage approaches improved LOINC mapping by up to 26.5%. |
| first_indexed | 2024-03-10T07:46:58Z |
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| language | English |
| last_indexed | 2024-03-10T07:46:58Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
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| series | Diagnostics |
| spelling | doaj.art-f45ed9214984457da22bd219a6b865782023-11-22T12:38:49ZengMDPI AGDiagnostics2075-44182021-08-01119156410.3390/diagnostics11091564Logical Observation Identifiers Names and Codes (LOINC<sup>®</sup>) Applied to Microbiology: A National Laboratory Mapping Experience in TaiwanChih-Yang Yeh0Syu-Jyun Peng1Hsuan Chia Yang2Mohaimenul Islam3Tahmina Nasrin Poly4Chien-Yeh Hsu5Stanley M. Huff6Huan-Chieh Chen7Ming-Chin Lin8Graduate Institute of Biomedical Informatics, College of Medicine Science and Technology, Taipei Medical University, Taipei 11031, TaiwanProfessional Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei 11031, TaiwanGraduate Institute of Biomedical Informatics, College of Medicine Science and Technology, Taipei Medical University, Taipei 11031, TaiwanGraduate Institute of Biomedical Informatics, College of Medicine Science and Technology, Taipei Medical University, Taipei 11031, TaiwanGraduate Institute of Biomedical Informatics, College of Medicine Science and Technology, Taipei Medical University, Taipei 11031, TaiwanDepartment of Information Management, National Taipei University of Nursing and Health Science, Taipei 11219, TaiwanDepartment of Biomedical Informatics, School of Medicine, University of Utah, Salt Lake City, UT 84132, USADepartment of Neurosurgery, Taipei Medical University-Wan Fang Hospital, Taipei 116, TaiwanGraduate Institute of Biomedical Informatics, College of Medicine Science and Technology, Taipei Medical University, Taipei 11031, TaiwanBackground and Objective: Logical Observation Identifiers Names and Codes (LOINC) is a universal standard for identifying laboratory tests and clinical observations. It facilitates a smooth information exchange between hospitals, locally and internationally. Although it offers immense benefits for patient care, LOINC coding is complex, resource-intensive, and requires substantial domain expertise. Our objective was to provide training and evaluate the performance of LOINC mapping of 20 pathogens from 53 hospitals participating in the National Notifiable Disease Surveillance System (NNDSS). Methods: Complete mapping codes for 20 pathogens (nine bacteria and 11 viruses) were requested from all participating hospitals to review between January 2014 and December 2016. Participating hospitals mapped those pathogens to LOINC terminology, utilizing the Regenstrief LOINC mapping assistant (RELMA) and reported to the NNDSS, beginning in January 2014. The mapping problems were identified by expert panels that classified frequently asked questionnaires (FAQs) into seven LOINC categories. Finally, proper and meaningful suggestions were provided based on the error pattern in the FAQs. A general meeting was organized if the error pattern proved to be difficult to resolve. If the experts did not conclude the local issue’s error pattern, a request was sent to the LOINC committee for resolution. Results: A total of 53 hospitals participated in our study. Of these, 26 (49.05%) used homegrown and 27 (50.95%) used outsourced LOINC mapping. Hospitals who participated in 2015 had a greater improvement in LOINC mapping than those of 2016 (26.5% vs. 3.9%). Most FAQs were related to notification principles (47%), LOINC system (42%), and LOINC property (26%) in 2014, 2015, and 2016, respectively. Conclusions: The findings of our study show that multiple stage approaches improved LOINC mapping by up to 26.5%.https://www.mdpi.com/2075-4418/11/9/1564LOINC laboratory testRELMAautomated mappingelectronic health record |
| spellingShingle | Chih-Yang Yeh Syu-Jyun Peng Hsuan Chia Yang Mohaimenul Islam Tahmina Nasrin Poly Chien-Yeh Hsu Stanley M. Huff Huan-Chieh Chen Ming-Chin Lin Logical Observation Identifiers Names and Codes (LOINC<sup>®</sup>) Applied to Microbiology: A National Laboratory Mapping Experience in Taiwan Diagnostics LOINC laboratory test RELMA automated mapping electronic health record |
| title | Logical Observation Identifiers Names and Codes (LOINC<sup>®</sup>) Applied to Microbiology: A National Laboratory Mapping Experience in Taiwan |
| title_full | Logical Observation Identifiers Names and Codes (LOINC<sup>®</sup>) Applied to Microbiology: A National Laboratory Mapping Experience in Taiwan |
| title_fullStr | Logical Observation Identifiers Names and Codes (LOINC<sup>®</sup>) Applied to Microbiology: A National Laboratory Mapping Experience in Taiwan |
| title_full_unstemmed | Logical Observation Identifiers Names and Codes (LOINC<sup>®</sup>) Applied to Microbiology: A National Laboratory Mapping Experience in Taiwan |
| title_short | Logical Observation Identifiers Names and Codes (LOINC<sup>®</sup>) Applied to Microbiology: A National Laboratory Mapping Experience in Taiwan |
| title_sort | logical observation identifiers names and codes loinc sup r sup applied to microbiology a national laboratory mapping experience in taiwan |
| topic | LOINC laboratory test RELMA automated mapping electronic health record |
| url | https://www.mdpi.com/2075-4418/11/9/1564 |
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