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Healthcare leaders' experiences of implementing artificial intelligence for medical history-taking and triage in Swedish primary care: an interview study.

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...

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Published in:BMC Primary Care Vol. 25; no. 1; pp. 1 - 16
Main Authors: Siira, Elin, Tyskbo, Daniel, Nygren, Jens
Format: pictorial research tables/charts Journal Article
Published: BioMed Central 7/24/2024
Online Access:View this record in EBSCOhost
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      dt: 7/24/2024
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      pub: BioMed Central
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        10.1186/s12875-024-02516-z
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        atl: Healthcare leaders' experiences of implementing artificial intelligence for medical history-taking and triage in Swedish primary care: an interview study.
      aug:
        au:
          Siira, Elin
          Tyskbo, Daniel
          Nygren, Jens
        affil: https://ror.org/03h0qfp10 School of Health and Welfare, Halmstad University, Box 823, 301 18, Halmstad, Sweden
      sug:
        subj:
          Leadership Sweden
          Attitude of Health Personnel
          Artificial Intelligence
          Triage Methods
          Patient History Taking Methods
          Primary Health Care Sweden
          Implementation Science
          Automation
          Human
          Male
          Female
          Sweden
          Qualitative Studies
          Empirical Research
          Semi-Structured Interview
          Thematic Analysis
          Health Care Delivery
          Technology, Medical
          Fear
          Professional Competence
          Mobile Applications
          Health Personnel Psychosocial Factors
          Health Services Accessibility
          Resource Allocation
          Needs Assessment
          Patient Safety
          Health Information
          Purposive Sample
          Open-Ended Questionnaires
          Interview Guides
          Descriptive Statistics
          Comparative Studies
          Funding Source
          Male
          Female
      ab: 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.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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