AI Maps Medicines Information Accuracy And Inequalities
In a scoping review published in Journal of Medical Internet Research in 2026, researchers from the University of Bath, UCL, and King’s College London mapped evidence on AI-driven medicines information up to a January 2025 cutoff. From 1,911 citations they included 14 studies, finding AI tools can support medicines information but show accuracy limitations for complex clinical queries; pharmacists were primary evaluators and only three studies assessed digital health inequalities.
Key Points
- 1Identifies 14 studies: AI supports medicines information but shows accuracy limits on complex queries.
- 2Highlights pharmacists as primary evaluators, underscoring unclear roles in AI validation and integration.
- 3Calls attention to digital health inequalities—only three studies addressed access, literacy, infrastructure barriers.
Scoring Rationale
Comprehensive scoping review across databases provides actionable gaps, but limited evidence base (14 studies) reduces generalizability.
Sources
Public references used for this report.
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