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

Reviews in Medical Informatics (97) Standards and Interoperability (96) Machine Learning (1730) Ontologies, Classifications, and Coding (270) Standards and Interoperability (96) Clinical Informatics (1160) Clinical Information and Decision Making (1647) Machine Learning (1730) Ontologies, Classifications, and Coding (270) Standards and Interoperability (96) Clinical Informatics (1160) Clinical Information and Decision Making (1647) Machine Learning (1730) Clinical Informatics (1160) Clinical Information and Decision Making (1647) Ontologies, Classifications, and Coding (270)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48297, first published .
Machine Learning–Enabled Clinical Information Systems Using Fast Healthcare Interoperability Resources Data Standards: Scoping Review

Machine Learning–Enabled Clinical Information Systems Using Fast Healthcare Interoperability Resources Data Standards: Scoping Review

Machine Learning–Enabled Clinical Information Systems Using Fast Healthcare Interoperability Resources Data Standards: Scoping Review

Authors of this article:

Jeremy A Balch1, 2 Author Orcid Image ;   Matthew M Ruppert2, 3 Author Orcid Image ;   Tyler J Loftus1, 2 Author Orcid Image ;   Ziyuan Guan2, 3 Author Orcid Image ;   Yuanfang Ren2, 3 Author Orcid Image ;   Gilbert R Upchurch1 Author Orcid Image ;   Tezcan Ozrazgat-Baslanti2, 3 Author Orcid Image ;   Parisa Rashidi2, 4 Author Orcid Image ;   Azra Bihorac2, 3 Author Orcid Image
Article Authors Cited by (16) Tweetations (2) Metrics

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  5. Tabari P, Costagliola G, De Rosa M, Boeker M. State-of-the-Art Fast Healthcare Interoperability Resources (FHIR)–Based Data Model and Structure Implementations: Systematic Scoping Review. JMIR Medical Informatics 2024;12:e58445 View
  6. Faisal H, Nakayama M. Implementation of the World Health Organization Minimum Dataset for Emergency Medical Teams to Create Disaster Profiles for the Indonesian SATUSEHAT Platform Using Fast Healthcare Interoperability Resources: Development and Validation Study. JMIR Medical Informatics 2024;12:e59651 View
  7. Pavão J, Bastardo R, Rocha N. A systematic review of the use of FHIR to support clinical research, public health and medical education. Data Technologies and Applications 2025;59(1):134 View
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  9. Kumar R, Joghee S. A Review on Integrating Breast Cancer Clinical Data: A Unified Platform Perspective. Current Treatment Options in Oncology 2025;26(1):1 View
  10. Sezgin E, Kocaballi A. Era of Generalist Conversational Artificial Intelligence to Support Public Health Communications. Journal of Medical Internet Research 2025;27:e69007 View
  11. Kapitan D, Heddema F, Dekker A, Sieswerda M, Verhoeff B, Berg M. Data Interoperability in Context: The Importance of Open-Source Implementations When Choosing Open Standards. Journal of Medical Internet Research 2025;27:e66616 View

Books/Policy Documents

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  2. Ghosh O, Kumar B, Roy P. Emerging Multisector Applications of AI and IoT. View

Conference Proceedings

  1. De Vito G. Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering. Assessing healthcare software built using IoT and LLM technologies View
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