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

Big Data (427) Clinical Informatics (2163) New Methods (1748) Electronic Health Records (1667) eHealth Infrastructures (493)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/82924, first published .
Digital dashboard with medical icons, speed gauge, and data cubes.

Benchmarking Fast Healthcare Interoperability Resources–Based Analytics: Quantitative Study of RESTful Server Queries and Big Data Engines

Benchmarking Fast Healthcare Interoperability Resources–Based Analytics: Quantitative Study of RESTful Server Queries and Big Data Engines

Authors of this article:

Christian Gulden1, 2 Author Orcid Image ;   Marvin Kampf3 Author Orcid Image ;   Detlef Kraska3 Author Orcid Image ;   John Grimes4 Author Orcid Image ;   Thomas Ganslandt1, 2, 3 Author Orcid Image ;   Hans-Ulrich Prokosch1, 2, 3 Author Orcid Image ;   Susanne A. Seuchter3 Author Orcid Image ;   Jonathan M. Mang3 Author Orcid Image ;   Peter Pallaoro2, 5, 6 Author Orcid Image ;   Paul-Christian Volkmer7 Author Orcid Image ;   Jasmin Ziegler2, 3 Author Orcid Image
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