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

Secondary Use of Clinical Data for Research and Surveillance (486) Clinical Informatics (1381) Electronic Health Records (1354) Quality Improvement (304) Design and Usability of Clinical Software and EHRs (359) Standards and Interoperability (144)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57153, first published .
Evaluating and Enhancing the Fitness-for-Purpose of Electronic Health Record Data: Qualitative Study on Current Practices and Pathway to an Automated Approach Within the Medical Informatics for Research and Care in University Medicine Consortium

Evaluating and Enhancing the Fitness-for-Purpose of Electronic Health Record Data: Qualitative Study on Current Practices and Pathway to an Automated Approach Within the Medical Informatics for Research and Care in University Medicine Consortium

Evaluating and Enhancing the Fitness-for-Purpose of Electronic Health Record Data: Qualitative Study on Current Practices and Pathway to an Automated Approach Within the Medical Informatics for Research and Care in University Medicine Consortium

Authors of this article:

Gaetan Kamdje Wabo1 Author Orcid Image ;   Preetha Moorthy1 Author Orcid Image ;   Fabian Siegel1, 2 Author Orcid Image ;   Susanne A Seuchter3 Author Orcid Image ;   Thomas Ganslandt3, 4 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. Razzaghi H, Wieand K, Dickinson K, Kahn M, Roy J, Blacketer C, Christakis D, Forrest C, Greenberg J, Lehmann H, Marsolo K, Sciolla J, Weiner M, Weiskopf N, Bailey L. Beyond Missingness: Systematizing Methods for Comprehensive Data Fitness Assessment in Clinical Research (Preprint). Journal of Medical Internet Research 2025 View

Books/Policy Documents

  1. Kazi J. Python Essentials for Biomedical Data Analysis: An Introductory Textbook. View