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

Clinical Informatics (1325) Clinical Information and Decision Making (1915) Design and Usability of Clinical Software and EHRs (348) mHealth for Screening (296)

Published on in Vol 27 (2025)

This is a member publication of University of Duisburg-Essen

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68750, first published .
Exchange of Quantitative Computed Tomography Assessed Body Composition Data Using Fast Healthcare Interoperability Resources as a Necessary Step Toward Interoperable Integration of Opportunistic Screening Into Clinical Practice: Methodological Development Study

Exchange of Quantitative Computed Tomography Assessed Body Composition Data Using Fast Healthcare Interoperability Resources as a Necessary Step Toward Interoperable Integration of Opportunistic Screening Into Clinical Practice: Methodological Development Study

Exchange of Quantitative Computed Tomography Assessed Body Composition Data Using Fast Healthcare Interoperability Resources as a Necessary Step Toward Interoperable Integration of Opportunistic Screening Into Clinical Practice: Methodological Development Study

Authors of this article:

Yutong Wen1, 2 Author Orcid Image ;   Vin Yeang Choo1, 2 Author Orcid Image ;   Jan Horst Eil2 Author Orcid Image ;   Sylvia Thun3 Author Orcid Image ;   Daniel Pinto dos Santos4 Author Orcid Image ;   Johannes Kast5, 6 Author Orcid Image ;   Stefan Sigle7 Author Orcid Image ;   Hans-Ulrich Prokosch8 Author Orcid Image ;   Diana Lizzhaid Ovelgönne9 Author Orcid Image ;   Katarzyna Borys2, 10 Author Orcid Image ;   Judith Kohnke2, 10 Author Orcid Image ;   Kamyar Arzideh1, 2 Author Orcid Image ;   Philipp Winnekens1, 2 Author Orcid Image ;   Giulia Baldini2 Author Orcid Image ;   Cynthia Sabrina Schmidt2, 11, 12 Author Orcid Image ;   Johannes Haubold2, 10 Author Orcid Image ;   Felix Nensa2, 10 Author Orcid Image ;   Obioma Pelka2, 10 Author Orcid Image ;   René Hosch2, 10 Author Orcid Image
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Journals

  1. Niu Z, Kuang X, Chen J, Cai X, Zhang P. The application and challenges of ChatGPT in laboratory medicine. Advances in Laboratory Medicine / Avances en Medicina de Laboratorio 2025 View