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Healthcare leaders’ experiences of implementing artificial intelligence for medical history-taking and triage in Swedish primary care: an interview study
Högskolan i Halmstad, Akademin för hälsa och välfärd.ORCID-id: 0000-0002-3097-9147
Högskolan i Halmstad, Akademin för hälsa och välfärd.ORCID-id: 0000-0002-3727-6153
Högskolan i Halmstad, Akademin för hälsa och välfärd.ORCID-id: 0000-0002-3576-2393
2024 (Engelska)Ingår i: BMC Primary Care, E-ISSN 2731-4553, Vol. 25, nr 1, artikel-id 268Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Background: Artificial intelligence (AI) holds significant promise for enhancing the efficiency and safety of medical history-taking and triage within primary care. However, there remains a dearth of knowledge concerning the practical implementation of AI systems for these purposes, particularly in the context of healthcare leadership. This study explores the experiences of healthcare leaders regarding the barriers to implementing an AI application for automating medical history-taking and triage in Swedish primary care, as well as the actions they took to overcome these barriers. Furthermore, the study seeks to provide insights that can inform the development of AI implementation strategies for healthcare.

Methods: We adopted an inductive qualitative approach, conducting semi-structured interviews with 13 healthcare leaders representing seven primary care units across three regions in Sweden. The collected data were subsequently analysed utilizing thematic analysis. Our study adhered to the Consolidated Criteria for Reporting Qualitative Research to ensure transparent and comprehensive reporting.

Results: The study identified implementation barriers encountered by healthcare leaders across three domains: (1) healthcare professionals, (2) organization, and (3) technology. The first domain involved professional scepticism and resistance, the second involved adapting traditional units for digital care, and the third inadequacies in AI application functionality and system integration. To navigate around these barriers, the leaders took steps to (1) address inexperience and fear and reduce professional scepticism, (2) align implementation with digital maturity and guide patients towards digital care, and (3) refine and improve the AI application and adapt to the current state of AI application development.

Conclusion: The study provides valuable empirical insights into the implementation of AI for automating medical history-taking and triage in primary care as experienced by healthcare leaders. It identifies the barriers to this implementation and how healthcare leaders aligned their actions to overcome them. While progress was evident in overcoming professional-related and organizational-related barriers, unresolved technical complexities highlight the importance of AI implementation strategies that consider how leaders handle AI implementation in situ based on practical wisdom and tacit understanding. This underscores the necessity of a holistic approach for the successful implementation of AI in healthcare. © The Author(s) 2024.

Ort, förlag, år, upplaga, sidor
London: BioMed Central (BMC), 2024. Vol. 25, nr 1, artikel-id 268
Nyckelord [en]
Artificial intelligence, Healthcare leaders, Implementation, Medical history-taking, Primary care, Triage
Nationell ämneskategori
Hälso- och sjukvårdsorganisation, hälsopolitik och hälsoekonomi
Forskningsämne
Hälsoinnovation, IDC
Identifikatorer
URN: urn:nbn:se:hh:diva-54372DOI: 10.1186/s12875-024-02516-zISI: 001275578500001PubMedID: 39048973Scopus ID: 2-s2.0-85199329780OAI: oai:DiVA.org:hh-54372DiVA, id: diva2:1886918
Forskningsfinansiär
VinnovaKK-stiftelsenHögskolan i Halmstad
Anmärkning

Funding: Open access funding provided by Halmstad University.

This research is included in the CAISR Health research profile.

Tillgänglig från: 2024-08-05 Skapad: 2024-08-05 Senast uppdaterad: 2024-12-03Bibliografiskt granskad

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Siira, ElinTyskbo, DanielNygren, Jens M.

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