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Implementing AI in healthcare—the relevance of trust: a scoping review
Högskolan i Halmstad, Akademin för hälsa och välfärd.ORCID-id: 0000-0003-2011-5027
Högskolan i Halmstad, Akademin för hälsa och välfärd.ORCID-id: 0000-0002-3097-9147
Högskolan i Halmstad, Akademin för hälsa och välfärd. Linköping University, Linköping, Sweden.ORCID-id: 0000-0003-0657-9079
Högskolan i Halmstad, Akademin för hälsa och välfärd.ORCID-id: 0000-0003-4438-6673
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2023 (Engelska)Ingår i: Frontiers in Health Services, E-ISSN 2813-0146, Vol. 3, artikel-id 1211150Artikel, forskningsöversikt (Refereegranskat) Published
Abstract [en]

Background: The process of translation of AI and its potential benefits into practice in healthcare services has been slow in spite of its rapid development. Trust in AI in relation to implementation processes is an important aspect. Without a clear understanding, the development of effective implementation strategies will not be possible, nor will AI advance despite the significant investments and possibilities.

Objective: This study aimed to explore the scientific literature regarding how trust in AI in relation to implementation in healthcare is conceptualized and what influences trust in AI in relation to implementation in healthcare.

Methods: This scoping review included five scientific databases. These were searched to identify publications related to the study aims. Articles were included if they were published in English, after 2012, and peer-reviewed. Two independent reviewers conducted an abstract and full-text review, as well as carrying out a thematic analysis with an inductive approach to address the study aims. The review was reported in accordance with the PRISMA-ScR guidelines.

Results: A total of eight studies were included in the final review. We found that trust was conceptualized in different ways. Most empirical studies had an individual perspective where trust was directed toward the technology's capability. Two studies focused on trust as relational between people in the context of the AI application rather than as having trust in the technology itself. Trust was also understood by its determinants and as having a mediating role, positioned between characteristics and AI use. The thematic analysis yielded three themes: individual characteristics, AI characteristics and contextual characteristics, which influence trust in AI in relation to implementation in healthcare.

Conclusions: Findings showed that the conceptualization of trust in AI differed between the studies, as well as which determinants they accounted for as influencing trust. Few studies looked beyond individual characteristics and AI characteristics. Future empirical research addressing trust in AI in relation to implementation in healthcare should have a more holistic view of the concept to be able to manage the many challenges, uncertainties, and perceived risks.

Ort, förlag, år, upplaga, sidor
Lausanne: Frontiers Media S.A., 2023. Vol. 3, artikel-id 1211150
Nyckelord [en]
trust, artificial intelligence, implementation, healthcare, scoping review
Nationell ämneskategori
Hälso- och sjukvårdsorganisation, hälsopolitik och hälsoekonomi
Forskningsämne
Hälsoinnovation, IDC
Identifikatorer
URN: urn:nbn:se:hh:diva-52290DOI: 10.3389/frhs.2023.1211150ISI: 001115176800001PubMedID: 37693234OAI: oai:DiVA.org:hh-52290DiVA, id: diva2:1822350
Forskningsfinansiär
KK-stiftelsen, 20200208 01HVetenskapsrådet, 2022054 06
Anmärkning

This research is included in the CAISR Health research profile.

Tillgänglig från: 2023-12-22 Skapad: 2023-12-22 Senast uppdaterad: 2024-12-03Bibliografiskt granskad

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Steerling, EmilieSiira, ElinNilsen, PerSvedberg, PetraNygren, Jens M.

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Steerling, EmilieSiira, ElinNilsen, PerSvedberg, PetraNygren, Jens M.
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Akademin för hälsa och välfärd
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Frontiers in Health Services
Hälso- och sjukvårdsorganisation, hälsopolitik och hälsoekonomi

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