Towards interoperability in infection control: a standard data model for microbiology.

Towards interoperability in infection control: a standard data model for microbiology.

Publication date: Sep 23, 2023

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.

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Concepts Keywords
Covid Collaborative
Crucial Common
Germany Control
Healthcare Developed
Microbiology Effort


Type Source Name
disease MESH infection
disease MESH COVID-19 pandemic
disease VO data set
drug DRUGBANK Coenzyme M
disease MESH infectious diseases
disease VO time
disease IDO process
disease IDO quality
disease VO document
disease VO organization
disease VO report
disease IDO colony
disease IDO organism
disease IDO bacteria
disease VO Protozoa
disease IDO susceptibility
drug DRUGBANK Meticillin
drug DRUGBANK Methyl isocyanate
drug DRUGBANK Flunarizine

Original Article

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