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

Standards and Interoperability (102) Big Data (284) Machine Learning (1770) Decision Support for Health Professionals (1361) Electronic Health Records (1198) Artificial Intelligence (1779)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43847, first published .
A Standardized Clinical Data Harmonization Pipeline for Scalable AI Application Deployment (FHIR-DHP): Validation and Usability Study

A Standardized Clinical Data Harmonization Pipeline for Scalable AI Application Deployment (FHIR-DHP): Validation and Usability Study

A Standardized Clinical Data Harmonization Pipeline for Scalable AI Application Deployment (FHIR-DHP): Validation and Usability Study

Authors of this article:

Elena Williams1 Author Orcid Image ;   Manuel Kienast1 Author Orcid Image ;   Evelyn Medawar1 Author Orcid Image ;   Janis Reinelt1 Author Orcid Image ;   Alberto Merola1 Author Orcid Image ;   Sophie Anne Ines Klopfenstein2 Author Orcid Image ;   Anne Rike Flint2 Author Orcid Image ;   Patrick Heeren2 Author Orcid Image ;   Akira-Sebastian Poncette2 Author Orcid Image ;   Felix Balzer2 Author Orcid Image ;   Julian Beimes3 Author Orcid Image ;   Paul von Bünau3 Author Orcid Image ;   Jonas Chromik4 Author Orcid Image ;   Bert Arnrich4 Author Orcid Image ;   Nico Scherf5 Author Orcid Image ;   Sebastian Niehaus1 Author Orcid Image
Article Authors Cited by (12) Tweetations (2) Metrics

Journals

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  5. Namli T, Anıl Sınacı A, Gönül S, Herguido C, Garcia-Canadilla P, Muñoz A, Esteve A, Ertürkmen G. A scalable and transparent data pipeline for AI-enabled health data ecosystems. Frontiers in Medicine 2024;11 View
  6. 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
  7. Gao X, He P, Zhou Y, Qin X. Artificial Intelligence Applications in Smart Healthcare: A Survey. Future Internet 2024;16(9):308 View
  8. Marfoglia A, Nardini F, Arcobelli V, Moscato S, Mellone S, Carbonaro A. Towards real-world clinical data standardization: A modular FHIR-driven transformation pipeline to enhance semantic interoperability in healthcare. Computers in Biology and Medicine 2025;187:109745 View
  9. Fu A, Shen T, Roberts S, Liu W, Vaidyanathan S, Marchena-Romero K, Lam Y, Shah K, Mak D, Chin S, Stern S, Koppula R, Joyce L, Pellegrino N, Harris N, Ng V, Srivastava S, Manikan N, Wilkinson A, Gastmeier J, Kwan J, Byaruhanga H, Shaji L, George S, Handsor S, Roy R, Kim C, Mequanint S, Razak F, Verma A. Optimizing the efficiency and effectiveness of data quality assurance in a multicenter clinical dataset. Journal of the American Medical Informatics Association 2025;32(5):835 View
  10. Shin Y, Lee M, Lee Y, Kim K, Kim T. Artificial Intelligence-Powered Quality Assurance: Transforming Diagnostics, Surgery, and Patient Care—Innovations, Limitations, and Future Directions. Life 2025;15(4):654 View

Books/Policy Documents

  1. Canelas-Pais M, Coutinho Almeida J, Magalhães Araujo S, Maia Rafael F, Cruz-Correia R, Pereira Rodrigues P. Artificial Intelligence for Drug Product Lifecycle Applications. View

Conference Proceedings

  1. De Maio C, Fenza G, Furno D, Grauso T, Loia V. 2024 International Conference on Software, Telecommunications and Computer Networks (SoftCOM). A Multi-Agent Architecture for Privacy-Preserving Natural Language Interaction with FHIR-Based Electronic Health Records View