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

Articles* (13) Data Science (150) Electronic Health Records (840) Standards and Interoperability (50)

Published on in Vol 9 , No 4 (2021) :April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25645, first published .
A Framework for Criteria-Based Selection and Processing of Fast Healthcare Interoperability Resources (FHIR) Data for Statistical Analysis: Design and Implementation Study

A Framework for Criteria-Based Selection and Processing of Fast Healthcare Interoperability Resources (FHIR) Data for Statistical Analysis: Design and Implementation Study

A Framework for Criteria-Based Selection and Processing of Fast Healthcare Interoperability Resources (FHIR) Data for Statistical Analysis: Design and Implementation Study

Authors of this article:

Julian Gruendner 1 Author Orcid Image ;   Christian Gulden 1 Author Orcid Image ;   Marvin Kampf 2 Author Orcid Image ;   Sebastian Mate 2 Author Orcid Image ;   Hans-Ulrich Prokosch 1, 2 Author Orcid Image ;   Jakob Zierk 3 Author Orcid Image
Article Authors Cited by (7) Tweetations (9) Metrics

Journals

  1. Duda S, Kennedy N, Conway D, Cheng A, Nguyen V, Zayas-Cabán T, Harris P. HL7 FHIR-based tools and initiatives to support clinical research: a scoping review. Journal of the American Medical Informatics Association 2022;29(9):1642 View
  2. Vorisek C, Lehne M, Klopfenstein S, Mayer P, Bartschke A, Haese T, Thun S. Fast Healthcare Interoperability Resources (FHIR) for Interoperability in Health Research: Systematic Review. JMIR Medical Informatics 2022;10(7):e35724 View
  3. Gruendner J, Deppenwiese N, Folz M, Köhler T, Kroll B, Prokosch H, Rosenau L, Rühle M, Scheidl M, Schüttler C, Sedlmayr B, Twrdik A, Kiel A, Majeed R. The Architecture of a Feasibility Query Portal for Distributed COVID-19 Fast Healthcare Interoperability Resources (FHIR) Patient Data Repositories: Design and Implementation Study. JMIR Medical Informatics 2022;10(5):e36709 View
  4. Chatterjee A, Pahari N, Prinz A. HL7 FHIR with SNOMED-CT to Achieve Semantic and Structural Interoperability in Personal Health Data: A Proof-of-Concept Study. Sensors 2022;22(10):3756 View
  5. Kapsner L, Mang J, Mate S, Seuchter S, Vengadeswaran A, Bathelt F, Deppenwiese N, Kadioglu D, Kraska D, Prokosch H. Linking a Consortium-Wide Data Quality Assessment Tool with the MIRACUM Metadata Repository. Applied Clinical Informatics 2021;12(04):826 View
  6. Rosenau L, Majeed R, Ingenerf J, Kiel A, Kroll B, Köhler T, Prokosch H, Gruendner J. Generation of a Fast Healthcare Interoperability Resources (FHIR)-based Ontology for Federated Feasibility Queries in the Context of COVID-19: Feasibility Study. JMIR Medical Informatics 2022;10(4):e35789 View
  7. Alper B, Dehnbostel J, Shahin K, Ojha N, Khanna G, Tignanelli C. Striking a match between FHIR ‐based patient data and FHIR ‐based eligibility criteria. Learning Health Systems 2023 View