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dc.contributor.authorSilsand, Line
dc.contributor.authorSeverinsen, Gro-Hilde
dc.contributor.authorLinstad, Line Helen
dc.contributor.authorEllingsen, Gunnar
dc.date.accessioned2023-08-16T10:42:17Z
dc.date.available2023-08-16T10:42:17Z
dc.date.issued2023-03-22
dc.description.abstractThe development of artificial intelligence (AI) technology for radiology has accelerated in the past decade, but its deployment in radiology practices has been slow. We take a sociotechnical approach and suggest that the limited use of AI in radiology practices can be attributed to a recurring tension between planned and emergent change. The paper contributes with a conceptualization and understanding of the tension during the procurement of AI for radiology. To balance this tension, we suggest that health organizations need to redefine the concept and scope of traditional procurement projects, with well-defined goals and project time. Instead, we propose that health organizations need to conceptualize their procurement and implementation projects of AI technology as evolving change processes. The study is based on an interpretive research approach and informed by the Information Infrastructure framework. Empirically, we study the procurement of AI solutions for radiology at a large health trust in Norway.en_US
dc.identifier.citationSilsand L, Severinsen G-H, Linstad LH, Ellingsen G. Procurement of artificial intelligence for radiology practice. Procedia Computer Science. 2023;219:1388-1395en_US
dc.identifier.cristinIDFRIDAID 2047924
dc.identifier.doi10.1016/j.procs.2023.01.427
dc.identifier.issn1877-0509
dc.identifier.urihttps://hdl.handle.net/10037/29975
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.journalProcedia Computer Science
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2023 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)en_US
dc.titleProcurement of artificial intelligence for radiology practiceen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Med mindre det står noe annet, er denne innførselens lisens beskrevet som Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)