Cargando…
Towards interoperability in infection control: a standard data model for microbiology
The COVID-19 pandemic has made it clear: sharing and exchanging data among research institutions is crucial in order to efficiently respond to global health threats. This can be facilitated by defining health data models based on interoperability standards. In Germany, a national effort is in progre...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10517923/ https://www.ncbi.nlm.nih.gov/pubmed/37741862 http://dx.doi.org/10.1038/s41597-023-02560-x |
_version_ | 1785109400613027840 |
---|---|
author | Rinaldi, Eugenia Drenkhahn, Cora Gebel, Benjamin Saleh, Kutaiba Tönnies, Hauke von Loewenich, Friederike D. Thoma, Norbert Baier, Claas Boeker, Martin Hinske, Ludwig Christian Diaz, Luis Alberto Peña Behnke, Michael Ingenerf, Josef Thun, Sylvia |
author_facet | Rinaldi, Eugenia Drenkhahn, Cora Gebel, Benjamin Saleh, Kutaiba Tönnies, Hauke von Loewenich, Friederike D. Thoma, Norbert Baier, Claas Boeker, Martin Hinske, Ludwig Christian Diaz, Luis Alberto Peña Behnke, Michael Ingenerf, Josef Thun, Sylvia |
author_sort | Rinaldi, Eugenia |
collection | PubMed |
description | The COVID-19 pandemic has made it clear: sharing and exchanging data among research institutions is crucial in order to efficiently respond to global health threats. This can be facilitated by defining health data models based on interoperability standards. In Germany, a national effort is in progress to create common data models using international healthcare IT standards. In this context, collaborative work on a data set module for microbiology is of particular importance as the WHO has declared antimicrobial resistance one of the top global public health threats that humanity is facing. In this article, we describe how we developed a common model for microbiology data in an interdisciplinary collaborative effort and how we make use of the standard HL7 FHIR and terminologies such as SNOMED CT or LOINC to ensure syntactic and semantic interoperability. The use of international healthcare standards qualifies our data model to be adopted beyond the environment where it was first developed and used at an international level. |
format | Online Article Text |
id | pubmed-10517923 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105179232023-09-25 Towards interoperability in infection control: a standard data model for microbiology Rinaldi, Eugenia Drenkhahn, Cora Gebel, Benjamin Saleh, Kutaiba Tönnies, Hauke von Loewenich, Friederike D. Thoma, Norbert Baier, Claas Boeker, Martin Hinske, Ludwig Christian Diaz, Luis Alberto Peña Behnke, Michael Ingenerf, Josef Thun, Sylvia Sci Data Article The COVID-19 pandemic has made it clear: sharing and exchanging data among research institutions is crucial in order to efficiently respond to global health threats. This can be facilitated by defining health data models based on interoperability standards. In Germany, a national effort is in progress to create common data models using international healthcare IT standards. In this context, collaborative work on a data set module for microbiology is of particular importance as the WHO has declared antimicrobial resistance one of the top global public health threats that humanity is facing. In this article, we describe how we developed a common model for microbiology data in an interdisciplinary collaborative effort and how we make use of the standard HL7 FHIR and terminologies such as SNOMED CT or LOINC to ensure syntactic and semantic interoperability. The use of international healthcare standards qualifies our data model to be adopted beyond the environment where it was first developed and used at an international level. Nature Publishing Group UK 2023-09-23 /pmc/articles/PMC10517923/ /pubmed/37741862 http://dx.doi.org/10.1038/s41597-023-02560-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/) . |
spellingShingle | Article Rinaldi, Eugenia Drenkhahn, Cora Gebel, Benjamin Saleh, Kutaiba Tönnies, Hauke von Loewenich, Friederike D. Thoma, Norbert Baier, Claas Boeker, Martin Hinske, Ludwig Christian Diaz, Luis Alberto Peña Behnke, Michael Ingenerf, Josef Thun, Sylvia Towards interoperability in infection control: a standard data model for microbiology |
title | Towards interoperability in infection control: a standard data model for microbiology |
title_full | Towards interoperability in infection control: a standard data model for microbiology |
title_fullStr | Towards interoperability in infection control: a standard data model for microbiology |
title_full_unstemmed | Towards interoperability in infection control: a standard data model for microbiology |
title_short | Towards interoperability in infection control: a standard data model for microbiology |
title_sort | towards interoperability in infection control: a standard data model for microbiology |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10517923/ https://www.ncbi.nlm.nih.gov/pubmed/37741862 http://dx.doi.org/10.1038/s41597-023-02560-x |
work_keys_str_mv | AT rinaldieugenia towardsinteroperabilityininfectioncontrolastandarddatamodelformicrobiology AT drenkhahncora towardsinteroperabilityininfectioncontrolastandarddatamodelformicrobiology AT gebelbenjamin towardsinteroperabilityininfectioncontrolastandarddatamodelformicrobiology AT salehkutaiba towardsinteroperabilityininfectioncontrolastandarddatamodelformicrobiology AT tonnieshauke towardsinteroperabilityininfectioncontrolastandarddatamodelformicrobiology AT vonloewenichfriederiked towardsinteroperabilityininfectioncontrolastandarddatamodelformicrobiology AT thomanorbert towardsinteroperabilityininfectioncontrolastandarddatamodelformicrobiology AT baierclaas towardsinteroperabilityininfectioncontrolastandarddatamodelformicrobiology AT boekermartin towardsinteroperabilityininfectioncontrolastandarddatamodelformicrobiology AT hinskeludwigchristian towardsinteroperabilityininfectioncontrolastandarddatamodelformicrobiology AT diazluisalbertopena towardsinteroperabilityininfectioncontrolastandarddatamodelformicrobiology AT behnkemichael towardsinteroperabilityininfectioncontrolastandarddatamodelformicrobiology AT ingenerfjosef towardsinteroperabilityininfectioncontrolastandarddatamodelformicrobiology AT thunsylvia towardsinteroperabilityininfectioncontrolastandarddatamodelformicrobiology |