This paper is in the following e-collection/theme issue:

Methods and Instruments in Medical Informatics (126) Pediatrics (137) Infectious Diseases (non-STD/STI) (1575) JMIR Theme Issue: COVID-19 Special Issue (2452)

Published on in Vol 11 (2023)

This is a member publication of Charite - Universitaetsmedizin Berlin, Medizinische Bibliothek, Germany

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45496, first published .
Interoperable, Domain-Specific Extensions for the German Corona Consensus (GECCO) COVID-19 Research Data Set Using an Interdisciplinary, Consensus-Based Workflow: Data Set Development Study

Interoperable, Domain-Specific Extensions for the German Corona Consensus (GECCO) COVID-19 Research Data Set Using an Interdisciplinary, Consensus-Based Workflow: Data Set Development Study

Interoperable, Domain-Specific Extensions for the German Corona Consensus (GECCO) COVID-19 Research Data Set Using an Interdisciplinary, Consensus-Based Workflow: Data Set Development Study

Authors of this article:

Gregor Lichtner1, 2, 3 Author Orcid Image ;   Thomas Haese1 Author Orcid Image ;   Sally Brose1 Author Orcid Image ;   Larissa Röhrig1, 4 Author Orcid Image ;   Liudmila Lysyakova5, 6 Author Orcid Image ;   Stefanie Rudolph5, 6 Author Orcid Image ;   Maria Uebe5, 6 Author Orcid Image ;   Julian Sass1 Author Orcid Image ;   Alexander Bartschke1 Author Orcid Image ;   David Hillus7 Author Orcid Image ;   Florian Kurth7, 8, 9 Author Orcid Image ;   Leif Erik Sander7 Author Orcid Image ;   Falk Eckart10 Author Orcid Image ;   Nicole Toepfner10 Author Orcid Image ;   Reinhard Berner10 Author Orcid Image ;   Anna Frey11 Author Orcid Image ;   Marcus Dörr12 Author Orcid Image ;   Jörg Janne Vehreschild13, 14, 15 Author Orcid Image ;   Christof von Kalle5, 6 Author Orcid Image ;   Sylvia Thun1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

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  2. Pavão J, Bastardo R, Rocha N. A systematic review of the use of FHIR to support clinical research, public health and medical education. Data Technologies and Applications 2024 View