Context and objective: although remote or electronic visits (avoid) can increase access to health care for certain groups of patients, their use can increase the workload of staff and patient demand. Artificial intelligence (AI) can mitigate these results. This study explored the opinions of staff and primary care patients to inform the development of the characteristics of artificial intelligence (AI) for acquisitions.
Approach to the study: Researchers conducted interviews and discussion groups with 16 primary care staff and 37 patients with 14 primary care practices in the northwest of England and London. The researchers questioned those interviewed on their views of the potential uses of AI during evictions, risks, advantages and challenges to its adoption in clinical practice. Transcriptions have been thematically analyzed to identify key themes.
Main results:
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Initials of false ideas and reserves: the two groups did not know what AI could or could not do. Patients feared that AI could diagnose or prescribe their doctor without contribution, and the staff asked for safety.
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The advantages received included faster responses for patients and the lighter workload for staff if AI has managed routine tasks. The risks collected included depersonalized care, fears of data deprival and the possibility that patients should perfectly grasp the symptoms for AI sorting to work safely.
Seven specific opportunities for AI during speeds were identified and generally welcomed if they completed the clinician’s judgment (not replaced):
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Routing of the workflow – AI could quickly direct each request to the member of the appropriate team.
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Direction – AI could relaunch emergencies to emergency services and send non -urgent problems to pharmacies.
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Preremen – Urgent requests could be reported so that clinicians see them first.
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Monitoring questions – AI could automatically ask for photos, questionnaires or clarifications after submission.
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Writing assistance – AI could suggest modifiable response models for common concerns such as mental health.
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Information on self -assistance – Trust educational links could be sent to patients effortlessly.
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Reservation opposite to face – AI could automatically plan visits in person when a physical examination is necessary.
Why this counts: The results of this study can serve as advice to develop and test AI tools in primary care environments.
Source:
Journal reference:
Moschogianis, S., et al. (2025) Seven artificial intelligence opportunities in electronic primary care visits: qualitative study of staff and patients of patients. The Annals of Family Medicine. DOI.org/10.1370/afm.240292.
