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Complex queries on distributed FHIR data: the limits of FHIR Search

Authors: Kern, J; Deppenwiese, N; Engels, C; Kiel, A; Lambarki, M; Lablans, M;

Complex queries on distributed FHIR data: the limits of FHIR Search

Abstract

Background: One major goal of decentral research networks is to be able to query and retrieve the data after it has been harmonized across multiple sites. This data is highly structured: In medical research, the data of a case or patient usually resides in multiple interlinked entities, each containing[for full text, please go to the a.m. URL]

65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS)

Keywords

ddc: 610, research network, FHIR, 610 Medical sciences; Medicine

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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