General landscape of the use of artificial intelligence programs by hospital pharmacists
An integrative review
DOI:
https://doi.org/10.59681/2175-4411.v18.2026.1544Keywords:
Artifical Intelligence, Drug PrescriptionsAbstract
Objective: To analyze the general panorama of the use of artificial intelligence (AI) programs in the analysis of prescriptions by hospital pharmacists. Methods: Integrative review on the use of artificial intelligence programs in the review of prescriptions. Data collection was performed in the indexed databases MedLine/PubMed, BVS-BIREME, Web of Science, Scopus and in the gray literature. The studies were categorized and analyzed for methodological quality. Results: Nine articles were included, grouped into two categories: error detection and process optimization (5 studies) and prevention of adverse events and prioritization of critical cases (4 studies). AI contributed to reducing medication errors, automating repetitive tasks and prioritizing high-risk prescriptions, increasing efficiency and safety. Conclusion: Although there is some evidence of positive impacts that AI optimizes prescription analysis in hospital pharmacy, there are limitations such as dependence on data quality, need for frequent updates, integration with electronic medical records and use by trained professionals.
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