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

Ontologies, Classifications, and Coding (334) Clinical Information and Decision Making (1957) Secondary Use of Clinical Data for Research and Surveillance (480) Clinical Informatics (1350) Data Science (363) Theoretical Frameworks and Concepts (349)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75275, first published .
Assessing Data Quality in Heterogeneous Health Care Integration: Simulation Study of the AIDAVA Framework

Assessing Data Quality in Heterogeneous Health Care Integration: Simulation Study of the AIDAVA Framework

Assessing Data Quality in Heterogeneous Health Care Integration: Simulation Study of the AIDAVA Framework

Authors of this article:

Jens Declerck1, 2 Author Orcid Image ;   Ömer Durukan Kılıç3 Author Orcid Image ;   Ensar Emir Erol3 Author Orcid Image ;   Shervin Mehryar3 Author Orcid Image ;   Dipak Kalra1, 2 Author Orcid Image ;   Isabelle de Zegher4 Author Orcid Image ;   Remzi Celebi3 Author Orcid Image
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Journals

  1. Olawade D, Owhonda R, Alabi J, Egbon E, Ayo Daniel R, Bello O. Digital twin paradigm in diabetes prediction and management. Diabetes Research and Clinical Practice 2026;231:113075 View