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

Julian Gruendner   1 , MA, MSc ;   Christian Gulden   1 , MSc ;   Marvin Kampf   2 , MSc ;   Sebastian Mate   2 , Dipl-Inf Univ ;   Hans-Ulrich Prokosch   1, 2 , PhD ;   Jakob Zierk   3 , Dr med

1 Chair of Medical Informatics, Department of Medical Informatics, Biometrics and Epidemiology, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen-Tennenlohe, Germany

2 Medical Center for Information and Communication Technology, University Hospital Erlangen, Erlangen, Germany

3 Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Erlangen, Germany

Corresponding Author:

  • Julian Gruendner, MA, MSc
  • Chair of Medical Informatics
  • Department of Medical Informatics, Biometrics and Epidemiology
  • Friedrich-Alexander University Erlangen-Nürnberg
  • Wetterkreuz 15
  • Erlangen-Tennenlohe
  • Germany
  • Phone: 49 91318526785
  • Email: julian.gruendner@fau.de