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

Standards and Interoperability (74) eHealth Infrastructures (345) Electronic Health Records (1053)

Published on in Vol 6, No 4 (2018): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10870, first published .
Validation and Testing of Fast Healthcare Interoperability Resources Standards Compliance: Data Analysis

Validation and Testing of Fast Healthcare Interoperability Resources Standards Compliance: Data Analysis

Validation and Testing of Fast Healthcare Interoperability Resources Standards Compliance: Data Analysis

Authors of this article:

Jason Walonoski1 Author Orcid Image ;   Robert Scanlon1 Author Orcid Image ;   Conor Dowling1 Author Orcid Image ;   Mario Hyland2 Author Orcid Image ;   Richard Ettema2 Author Orcid Image ;   Steven Posnack3 Author Orcid Image
Article Authors Cited by (6) Tweetations (16) Metrics

Journals

  1. Ayaz M, Pasha M, Alzahrani M, Budiarto R, Stiawan D. The Fast Health Interoperability Resources (FHIR) Standard: Systematic Literature Review of Implementations, Applications, Challenges and Opportunities. JMIR Medical Informatics 2021;9(7):e21929 View
  2. Walonoski J, Hall D, Bates K, Farris M, Dagher J, Downs M, Sivek R, Wellner B, Gregorowicz A, Hadley M, Campion F, Levine L, Wacome K, Emmer G, Kemmer A, Malik M, Hughes J, Granger E, Russell S. The “Coherent Data Set”: Combining Patient Data and Imaging in a Comprehensive, Synthetic Health Record. Electronics 2022;11(8):1199 View
  3. Yunitarini R, Widiaswanti E, Radiansyah M, Wardiny T, Noviyanti R, Kusumaningrum E, Warlina L, Isfarudi , Nursantika D, Fauziyyah A, Permana M, Hakiki D, Hidayat W. Analysis and Design of Indonesian Traditional Medicine (Jamu) Information System by using Prototyping Model (Case Study: Madura Island). E3S Web of Conferences 2024;483:03012 View
  4. Javed H, El-Sappagh S, Abuhmed T. Robustness in deep learning models for medical diagnostics: security and adversarial challenges towards robust AI applications. Artificial Intelligence Review 2024;58(1) View