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

Scientometrics, Infometrics, and Altmetrics (123) Digital Health Reviews (1724) Clinical Informatics (1325) Theoretical Frameworks and Concepts (338) eHealth Infrastructures (427) mHealth for Health Administration (184) Ontologies, Classifications, and Coding (324) Standards and Interoperability (134) Electronic Health Records (1319)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69465, first published .
Enhancing Interoperability for a Sustainable, Patient-Centric Health Care Value Chain: Systematic Review for Taxonomy Development

Enhancing Interoperability for a Sustainable, Patient-Centric Health Care Value Chain: Systematic Review for Taxonomy Development

Enhancing Interoperability for a Sustainable, Patient-Centric Health Care Value Chain: Systematic Review for Taxonomy Development

Authors of this article:

Carlos Antonio Marino1 Author Orcid Image ;   Claudia Diaz Paz1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Zonayed M, Tasnim R, Jhara S, Mimona M, Hussein M, Mobarak M, Salma U. Machine learning and IoT in healthcare: Recent advancements, challenges & future direction. Advances in Biomarker Sciences and Technology 2025;7:335 View
  2. Zota R, Cîmpeanu I, Lungu M. Exploring AI in Healthcare Systems: A Study of Medical Applications and a Proposal for a Smart Clinical Assistant. Electronics 2025;14(18):3727 View