title: Prefetching of medical imaging data across XDS affinity domains.
abstract: Prior studies as well as medical imaging data are crucial for a radiologist to diagnose a patient. In this paper the radiological workflow is analyzed from a patient's perspective in order to gain knowledge on how possible existing prefetching strategies still can be applied in connection with a standardized distributed health information system conforming to architectures defined by IHE and ELGA. As a result an adaption to such architectures is proposed and further evaluated in a testing environment. Although the approach presented works in terms of prefetching relevant prior studies together with medical imaging data, additional research has to be carried out on how to apply intelligent search strategies in order to narrow retrieved results concerning their possible utilization for a specific diagnosis.
authors.affiliation: FH Oberösterreich, Forschungs & Entwicklungs GmbH, Austria.
authors.forename: Emmanuel
authors.initials: E
authors.lastname: Helm
authors.affiliation: FH Oberösterreich, Forschungs & Entwicklungs GmbH, Austria.
authors.forename: Andreas
authors.initials: A
authors.lastname: Schuler
authors.affiliation: FH Oberösterreich, Forschungs & Entwicklungs GmbH, Austria.
authors.forename: Oliver
authors.initials: O
authors.lastname: Krauss
authors.affiliation: FH Oberösterreich, Fakultät für Informatik/Kommunikation/Medien, Hagenberg, Austria.
authors.forename: Barbara
authors.initials: B
authors.lastname: Franz
mesh_terms: D001317:Austria; D003219:Confidentiality / Q000592:standards*; D066275:Health Information Exchange / Q000592:standards*; D016247:Information Storage and Retrieval / Q000592:standards*; D008498:Medical Record Linkage / Q000592:standards*; D010355:Patient Identification Systems / Q000458:organization & administration*; D017410:Practice Guidelines as Topic; D011873:Radiology Information Systems / Q000592:standards*; D012984:Software