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The Perceptions of Potential Prerequisites for Artificial Intelligence in Danish General Practice: Vignette-Based
Natasha Lee Jørgensen1, Camilla Hoffmann Merrild1, Martin Bach Jensen1
1Center for General Practice at Aalborg University, Department of Clinical Medicine, Aalborg University, Selma Lagerløfs vej 249, Aalborg, 9260 Gistrup, Denmark, 45 29807944.
General practitioners (GPs) in Denmark need AI tools that are meaningful, integrated into electronic health records, and do not disrupt the patient relationship. Focusing on low-complexity tasks is key for AI adoption in primary care.
Area of Science:
- Medical Informatics
- Artificial Intelligence in Healthcare
- Primary Care Technology
Background:
- Artificial intelligence (AI) holds revolutionary potential in medicine, yet no AI tools are currently implemented or validated in Danish general practice.
- Despite Denmark's advanced digitization, a gap exists in general practitioner (GP) involvement in AI development.
- GP perspectives are crucial for advancing AI in primary care settings.
Purpose of the Study:
- To identify essential prerequisites for GPs to realize AI's potential in Danish general practice.
- To understand the end-user perspective on AI implementation in primary care.
Main Methods:
- Semistructured interviews and vignettes were conducted with 12 GPs interested in AI.
- Interviews were transcribed verbatim, and thematic analysis was performed.
- Data was collected between 2019 and 2021.
Main Results:
- Four key themes emerged: AI should focus on 'low-hanging fruit' (simple tasks).
- AI must be meaningful to GP workflow and preserve the GP-patient relationship.
- AI should be a free, active, and integrated option within the electronic health record (EHR).
- Initial AI development should target routine and administrative tasks.
Conclusions:
- GP perceptions highlight critical prerequisites for successful AI integration in primary care.
- Findings can guide the development and assessment of AI tools for general practice.
- Focusing on integrated, meaningful, and non-disruptive AI is essential for adoption.
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