@article {1616,
	title = {Towards interoperability in infection control: a standard data model for microbiology},
	journal = {Scientific data},
	volume = {10},
	year = {2023},
	month = {2023 Sep 23},
	pages = {654},
	abstract = {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.},
	keywords = {COVID-19, Germany, Health Facilities, Humanities, Humans, Pandemics},
	issn = {2052-4463},
	doi = {10.1038/s41597-023-02560-x},
	author = {Rinaldi, Eugenia and Drenkhahn, Cora and Gebel, Benjamin and Saleh, Kutaiba and T{\"o}nnies, Hauke and von Loewenich, Friederike D and Thoma, Norbert and Baier, Claas and Boeker, Martin and Hinske, Ludwig Christian and Diaz, Luis Alberto Pe{\~n}a and Behnke, Michael and Ingenerf, Josef and Sylvia Thun}
}
