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

Clinical Information and Decision Making (3450) Big Data (424) Electronic Health Records (1631) Health Information Exchange (221) Advanced Data Analytics in eHealth (326) eHealth Infrastructures (486) Quality Improvement (363) Secondary Use of Clinical Data for Research and Surveillance (599) Standards and Interoperability (204)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55148, first published .
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Establishing Medical Intelligence—Leveraging Fast Healthcare Interoperability Resources to Improve Clinical Management: Retrospective Cohort and Clinical Implementation Study

Establishing Medical Intelligence—Leveraging Fast Healthcare Interoperability Resources to Improve Clinical Management: Retrospective Cohort and Clinical Implementation Study

Authors of this article:

Alexander Brehmer1 Author Orcid Image ;   Christopher Martin Sauer1, 2 Author Orcid Image ;   Jayson Salazar Rodríguez1 Author Orcid Image ;   Kelsey Herrmann1 Author Orcid Image ;   Moon Kim1 Author Orcid Image ;   Julius Keyl1, 3 Author Orcid Image ;   Fin Hendrik Bahnsen1 Author Orcid Image ;   Benedikt Frank4 Author Orcid Image ;   Martin Köhrmann4 Author Orcid Image ;   Tienush Rassaf5 Author Orcid Image ;   Amir-Abbas Mahabadi5 Author Orcid Image ;   Boris Hadaschik6 Author Orcid Image ;   Christopher Darr6 Author Orcid Image ;   Ken Herrmann7 Author Orcid Image ;   Susanne Tan8 Author Orcid Image ;   Jan Buer9 Author Orcid Image ;   Thorsten Brenner10 Author Orcid Image ;   Hans Christian Reinhardt2 Author Orcid Image ;   Felix Nensa1 Author Orcid Image ;   Michael Gertz11 Author Orcid Image ;   Jan Egger1 Author Orcid Image ;   Jens Kleesiek1 Author Orcid Image
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Journals

  1. Suliman K, Lee-Barkey Y, Brehmer A, Stratmann B, Klose J, Lenfers T, Kleesiek J, Reger-Tan S, Keyl J. Implementation of guideline-recommended organ-protective therapy in people with type 2 diabetes and cardiovascular disease, heart failure, or kidney disease: real-world evidence from a German University Hospital. Frontiers in Endocrinology 2026;16 View
  2. Ingrisch M. The architectural gap in clinical artificial intelligence. The Lancet Digital Health 2026;8(2):100979 View
  3. Pucher G, Dada A, Agbodoyetin A, Nensa F, Schuler M, Reinhardt H, Kleesiek J, Sauer C. Can one model fit all? Evaluating foundation models for time series forecasting across clinical medicine. Artificial Intelligence in Medicine 2026;180:103473 View

Books/Policy Documents

  1. Brieske C, Horn P. Künstliche Intelligenz im Einsatz für die erfolgreiche Patientenreise. View