TY - JOUR
T1 - Towards interoperability in infection control
T2 - a standard data model for microbiology
AU - Rinaldi, Eugenia
AU - Drenkhahn, Cora
AU - Gebel, Benjamin
AU - Saleh, Kutaiba
AU - Tönnies, Hauke
AU - von Loewenich, Friederike D.
AU - Thoma, Norbert
AU - Baier, Claas
AU - Boeker, Martin
AU - Hinske, Ludwig Christian
AU - Diaz, Luis Alberto Peña
AU - Behnke, Michael
AU - Ingenerf, Josef
AU - Thun, Sylvia
N1 - Publisher Copyright:
© 2023, Springer Nature Limited.
PY - 2023/12
Y1 - 2023/12
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85172381436&partnerID=8YFLogxK
U2 - 10.1038/s41597-023-02560-x
DO - 10.1038/s41597-023-02560-x
M3 - Article
C2 - 37741862
AN - SCOPUS:85172381436
SN - 2052-4463
VL - 10
JO - Scientific Data
JF - Scientific Data
IS - 1
M1 - 654
ER -
