Benchmarking Fast Healthcare Interoperability Resources–Based Analytics: Quantitative Study of RESTful Server Queries and Big Data Engines
- DOI
- 10.2196/82924
- Published
- 2026-07-17
- Container
- JMIR Medical Informatics
- Publisher
- JMIR Publications Inc.
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.2196/82924,
title = {Benchmarking Fast Healthcare Interoperability Resources–Based Analytics: Quantitative Study of RESTful Server Queries and Big Data Engines},
author = {Christian Gulden and Marvin Kampf and Detlef Kraska and John Grimes and Thomas Ganslandt and Hans-Ulrich Prokosch and Susanne A. Seuchter and Jonathan M. Mang and Peter Pallaoro and Paul-Christian Volkmer and Jasmin Ziegler},
year = {2026},
journal = {JMIR Medical Informatics},
doi = {10.2196/82924},
url = {https://doi.org/10.2196/82924}
}RIS
TY - JOUR TI - Benchmarking Fast Healthcare Interoperability Resources–Based Analytics: Quantitative Study of RESTful Server Queries and Big Data Engines AU - Christian Gulden AU - Marvin Kampf AU - Detlef Kraska AU - John Grimes AU - Thomas Ganslandt AU - Hans-Ulrich Prokosch AU - Susanne A. Seuchter AU - Jonathan M. Mang AU - Peter Pallaoro AU - Paul-Christian Volkmer AU - Jasmin Ziegler PY - 2026 JO - JMIR Medical Informatics DO - 10.2196/82924 UR - https://doi.org/10.2196/82924 ER -
APA
Gulden, C., Kampf, M., Kraska, D., Grimes, J., Ganslandt, T., Prokosch, H., Seuchter, S. A., Mang, J. M., Pallaoro, P., Volkmer, P., & Ziegler, J. (2026). Benchmarking Fast Healthcare Interoperability Resources–Based Analytics: Quantitative Study of RESTful Server Queries and Big Data Engines. JMIR Medical Informatics. https://doi.org/10.2196/82924
Source records
- crossref · retrieved 2026-09-26T04:33:57.582Z