Exploring Primary Care Patients' Perspectives on Artificial Intelligence: Systematic Literature Review and Qualitative Meta-Synthesis
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Summary
This summary is machine-generated.Patients desire clinician oversight for artificial intelligence (AI) in primary care, emphasizing safety and autonomy. Further research is needed on AI, including large language models (LLMs), and diverse patient perspectives globally.
Area Of Science
- Healthcare technology
- Medical informatics
- Patient-centered care
Background
- Artificial intelligence (AI) offers potential benefits in healthcare, such as reducing physician workload and enhancing patient interaction.
- The rise of large language models (LLMs) has increased interest in AI within primary care.
- Patient concerns regarding ethical implications and AI use in primary care necessitate understanding their perspectives for effective integration.
Purpose Of The Study
- To synthesize qualitative research on primary care patients' perspectives on AI, including LLMs.
- To identify key themes and concerns from patients regarding AI in primary care settings.
Main Methods
- A qualitative systematic review adhering to PRISMA guidelines was conducted.
- Thematic analysis was employed to synthesize findings from eligible qualitative studies.
- Searches were performed across major databases (PubMed, Scopus, Web of Science, CINAHL, PsycINFO) up to February 2024.
Main Results
- Six qualitative studies involving 170 patients from three countries were included.
- Three emergent themes: AI system interactions, responsible AI implementation, and training for physicians and AI.
- Patients recognized AI benefits but stressed the need for clinician oversight, safety protocols, and patient autonomy.
Conclusions
- Understanding patient perspectives is crucial for AI integration in primary care.
- A significant research gap exists regarding patient views on LLMs in primary care.
- Further research is recommended to explore patient perspectives across diverse international contexts.
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