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Mapping Hungarian procedure codes to SNOMED CT
BACKGROUND: Data harmonisation is essential in real-world data (RWD) research projects based on hospital information systems databases, as coding systems differ between countries. The Hungarian hospital information systems and the national claims database use internationally known diagnosis codes, b...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585817/ https://www.ncbi.nlm.nih.gov/pubmed/37853326 http://dx.doi.org/10.1186/s12874-023-02036-x |
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author | Mészáros, Ágota Kovács, Sándor Héja, Tibor Bagyura, Zsolt Zemplényi, Antal |
author_facet | Mészáros, Ágota Kovács, Sándor Héja, Tibor Bagyura, Zsolt Zemplényi, Antal |
author_sort | Mészáros, Ágota |
collection | PubMed |
description | BACKGROUND: Data harmonisation is essential in real-world data (RWD) research projects based on hospital information systems databases, as coding systems differ between countries. The Hungarian hospital information systems and the national claims database use internationally known diagnosis codes, but data on medical procedures are recorded using national codes. There is no simple or standard solution for mapping the national codes to a standard coding system. Our aim was to map the Hungarian procedure codes (OENO) to SNOMED CT as part of the European Health Data Evidence Network (EHDEN) project. METHODS: We recruited 25 professionals from different specialties to manually map the procedure codes used between 2011 and 2021. A mapping protocol and training material were developed, results were regularly revised, and the challenges of mapping were recorded. Approximately 7% of the codes were mapped by more people in different specialties for validation purposes. RESULTS: We mapped 4661 OENO codes to standard vocabularies, mostly SNOMED CT. We categorized the challenges into three main areas: semantic, matching, and methodological. Semantic refers to the occasionally unclear meaning of the OENO codes, matching to the different granularity and purpose of the OENO and SNOMED CT vocabularies. Lastly, methodological challenges were used to describe issues related to the design of the above-mentioned two vocabularies. CONCLUSIONS: The challenges and solutions presented here may help other researchers to design their process to map their national codes to standard vocabularies in order to achieve greater consistency in mapping results. Moreover, we believe that our work will allow for better use of RWD collected in Hungary in international research collaborations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-023-02036-x. |
format | Online Article Text |
id | pubmed-10585817 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105858172023-10-20 Mapping Hungarian procedure codes to SNOMED CT Mészáros, Ágota Kovács, Sándor Héja, Tibor Bagyura, Zsolt Zemplényi, Antal BMC Med Res Methodol Research BACKGROUND: Data harmonisation is essential in real-world data (RWD) research projects based on hospital information systems databases, as coding systems differ between countries. The Hungarian hospital information systems and the national claims database use internationally known diagnosis codes, but data on medical procedures are recorded using national codes. There is no simple or standard solution for mapping the national codes to a standard coding system. Our aim was to map the Hungarian procedure codes (OENO) to SNOMED CT as part of the European Health Data Evidence Network (EHDEN) project. METHODS: We recruited 25 professionals from different specialties to manually map the procedure codes used between 2011 and 2021. A mapping protocol and training material were developed, results were regularly revised, and the challenges of mapping were recorded. Approximately 7% of the codes were mapped by more people in different specialties for validation purposes. RESULTS: We mapped 4661 OENO codes to standard vocabularies, mostly SNOMED CT. We categorized the challenges into three main areas: semantic, matching, and methodological. Semantic refers to the occasionally unclear meaning of the OENO codes, matching to the different granularity and purpose of the OENO and SNOMED CT vocabularies. Lastly, methodological challenges were used to describe issues related to the design of the above-mentioned two vocabularies. CONCLUSIONS: The challenges and solutions presented here may help other researchers to design their process to map their national codes to standard vocabularies in order to achieve greater consistency in mapping results. Moreover, we believe that our work will allow for better use of RWD collected in Hungary in international research collaborations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-023-02036-x. BioMed Central 2023-10-18 /pmc/articles/PMC10585817/ /pubmed/37853326 http://dx.doi.org/10.1186/s12874-023-02036-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Mészáros, Ágota Kovács, Sándor Héja, Tibor Bagyura, Zsolt Zemplényi, Antal Mapping Hungarian procedure codes to SNOMED CT |
title | Mapping Hungarian procedure codes to SNOMED CT |
title_full | Mapping Hungarian procedure codes to SNOMED CT |
title_fullStr | Mapping Hungarian procedure codes to SNOMED CT |
title_full_unstemmed | Mapping Hungarian procedure codes to SNOMED CT |
title_short | Mapping Hungarian procedure codes to SNOMED CT |
title_sort | mapping hungarian procedure codes to snomed ct |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585817/ https://www.ncbi.nlm.nih.gov/pubmed/37853326 http://dx.doi.org/10.1186/s12874-023-02036-x |
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