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

Methods and Instruments in Medical Informatics (185) Pediatrics (158) Infectious Diseases (non-STD/STI) (1711) JMIR Theme Issue: COVID-19 Special Issue (2544)

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 (3) 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 2025;59(1):134 View
  3. von Dincklage F, Bublitz V, Kumpf O, Jurth C, Riessen R, Deja M, Schewe C, Schädler D, Fuchs C, Gibb S, Scheer C, Schewe J, Nowak H, Balzer F, Adamzik M, Marx G, Lichtner G. Computer-Interpretable Quality Indicators for Intensive Care Medicine: Development and Validation Study. Journal of Medical Internet Research 2025;27:e77077 View