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Feasibility of Mapping Austrian Health Claims Data to the OMOP Common Data Model
The Main Association of Austrian Social Security Institutions collects pseudonymized claims data from Austrian social security institutions and information about hospital stays in a database for research purposes. For new studies the same data are repeatedly reprocessed and it is difficult to compar...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6732152/ https://www.ncbi.nlm.nih.gov/pubmed/31494719 http://dx.doi.org/10.1007/s10916-019-1436-9 |
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author | Haberson, Andrea Rinner, Christoph Schöberl, Alexander Gall, Walter |
author_facet | Haberson, Andrea Rinner, Christoph Schöberl, Alexander Gall, Walter |
author_sort | Haberson, Andrea |
collection | PubMed |
description | The Main Association of Austrian Social Security Institutions collects pseudonymized claims data from Austrian social security institutions and information about hospital stays in a database for research purposes. For new studies the same data are repeatedly reprocessed and it is difficult to compare different study results even though the data is already preprocessed and prepared in a proprietary data model. Based on a study on adverse drug events in relation to inappropriate medication in geriatric patients the suitability of the Observational Medical Outcomes Partnership (OMOP) common data model (CDM) is analyzed and data is transformed into the OMOP CDM. 1,023 (99.7%) of drug codes and 3,812 (99.2%) of diagnoses codes coincide with the OMOP vocabularies. The biggest obstacles are missing mappings for the Local Vocabularies like the Austrian pharmaceutical registration numbers and the Socio-Economic Index to the OMOP vocabularies. OMOP CDM is a promising approach for the standardization of Austrian claims data. In the long run, the benefits of standardization and reproducibility of research should outweigh this initial drawback. |
format | Online Article Text |
id | pubmed-6732152 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-67321522019-09-20 Feasibility of Mapping Austrian Health Claims Data to the OMOP Common Data Model Haberson, Andrea Rinner, Christoph Schöberl, Alexander Gall, Walter J Med Syst Systems-Level Quality Improvement The Main Association of Austrian Social Security Institutions collects pseudonymized claims data from Austrian social security institutions and information about hospital stays in a database for research purposes. For new studies the same data are repeatedly reprocessed and it is difficult to compare different study results even though the data is already preprocessed and prepared in a proprietary data model. Based on a study on adverse drug events in relation to inappropriate medication in geriatric patients the suitability of the Observational Medical Outcomes Partnership (OMOP) common data model (CDM) is analyzed and data is transformed into the OMOP CDM. 1,023 (99.7%) of drug codes and 3,812 (99.2%) of diagnoses codes coincide with the OMOP vocabularies. The biggest obstacles are missing mappings for the Local Vocabularies like the Austrian pharmaceutical registration numbers and the Socio-Economic Index to the OMOP vocabularies. OMOP CDM is a promising approach for the standardization of Austrian claims data. In the long run, the benefits of standardization and reproducibility of research should outweigh this initial drawback. Springer US 2019-09-07 2019 /pmc/articles/PMC6732152/ /pubmed/31494719 http://dx.doi.org/10.1007/s10916-019-1436-9 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Systems-Level Quality Improvement Haberson, Andrea Rinner, Christoph Schöberl, Alexander Gall, Walter Feasibility of Mapping Austrian Health Claims Data to the OMOP Common Data Model |
title | Feasibility of Mapping Austrian Health Claims Data to the OMOP Common Data Model |
title_full | Feasibility of Mapping Austrian Health Claims Data to the OMOP Common Data Model |
title_fullStr | Feasibility of Mapping Austrian Health Claims Data to the OMOP Common Data Model |
title_full_unstemmed | Feasibility of Mapping Austrian Health Claims Data to the OMOP Common Data Model |
title_short | Feasibility of Mapping Austrian Health Claims Data to the OMOP Common Data Model |
title_sort | feasibility of mapping austrian health claims data to the omop common data model |
topic | Systems-Level Quality Improvement |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6732152/ https://www.ncbi.nlm.nih.gov/pubmed/31494719 http://dx.doi.org/10.1007/s10916-019-1436-9 |
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