aceArtificial Intelligence in Pharmacy Services: A Comparative Bibliometric Analysis of United States and Global Research Trends
Objectives: Artificial intelligence (AI) technologies offer transformative potential to address pharmacy workforce challenges and enhance patient safety. This study aimed to characterize the global landscape of AI research in pharmacy services and identify gaps between research activity and patient safety priorities. Methods: A bibliometric analysis was conducted on AI-pharmacy services publications indexed in Web of Science (2015-2025). Performance analysis and science mapping techniques were applied using Bibl…
Research on AI in pharmacy services focuses on algorithm development while medication error prevention and patient safety themes are underrepresented, leaving a translational gap.
Evidence
- Peer-reviewedJournal of Patient Safety2026-10-20
How should this claim be treated?
Truvace Impact Record TRV-2026-2171, v1: “Artificial Intelligence in Pharmacy Services: A Comparative Bibliometric Analysis of United States and Global Research Trends.” Truvace, 2026-10-22. /record/TRV-2026-2171 (accessed at citation time). sha256 fab187220444e2b4…
Calibration history
Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.
Certified into the record
How to verify without trusting this page
Fetch the canonical text of any version from /api/record/TRV-2026-2171 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.