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

Articles* (13) Data Science (223) Electronic Health Records (961) Standards and Interoperability (60)

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 Gruendner1 Author Orcid Image ;   Christian Gulden1 Author Orcid Image ;   Marvin Kampf2 Author Orcid Image ;   Sebastian Mate2 Author Orcid Image ;   Hans-Ulrich Prokosch1, 2 Author Orcid Image ;   Jakob Zierk3 Author Orcid Image
Article Authors Cited by (13) Tweetations (8) 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;7(4) View
  8. Ayaz M, Pasha M, Alahmadi T, Abdullah N, Alkahtani H. Transforming Healthcare Analytics with FHIR: A Framework for Standardizing and Analyzing Clinical Data. Healthcare 2023;11(12):1729 View
  9. Kamdje Wabo G, Prasser F, Gierend K, Siegel F, Ganslandt T. Data Quality– and Utility-Compliant Anonymization of Common Data Model–Harmonized Electronic Health Record Data: Protocol for a Scoping Review. JMIR Research Protocols 2023;12:e46471 View
  10. Hosch R, Baldini G, Parmar V, Borys K, Koitka S, Engelke M, Arzideh K, Ulrich M, Nensa F. FHIR-PYrate: a data science friendly Python package to query FHIR servers. BMC Health Services Research 2023;23(1) View
  11. Nan J, Xu L. Designing Interoperable Health Care Services Based on Fast Healthcare Interoperability Resources: Literature Review. JMIR Medical Informatics 2023;11:e44842 View
  12. Nasarian E, Alizadehsani R, Acharya U, Tsui K. Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework. Information Fusion 2024;108:102412 View

Books/Policy Documents

  1. Pavão J, Bastardo R, Rocha N. Information Systems and Technologies. View