Forecasting the impact of artificial intelligence on clinical pharmacy practice
Abstract There is a need to understand contemporary scientific advances as clinical pharmacy evolves. One rapidly expanding area is artificial intelligence (AI), which has grown significantly over the past year because of the public availability of large language models. This commentary reviews published literature describing and evaluating applications of AI to each aspect of the medication use process and forecasts potential future roles for AI in pharmacy practice. Potential challenges in implementation are also described.
Authors
- Sandra L. Kane‐Gill (ORCID: https://orcid.org/0000-0001-7523-4846)
- Adrian Wong (ORCID: https://orcid.org/0000-0003-0066-6235)
- Elaine Nguyen (ORCID: https://orcid.org/0000-0001-6695-3187)
- Diana M. Isaacs (ORCID: https://orcid.org/0000-0002-5743-9458)
- Elizabeth W. Covington (ORCID: https://orcid.org/0000-0003-0082-6008)
- Brian S. Hoffmaster (ORCID: https://orcid.org/0000-0002-8983-4647)
- Gretchen L. Brummel
- Dustin D Linn (ORCID: https://orcid.org/0000-0002-7788-716X)
- Trenton Flanagan (ORCID: https://orcid.org/0009-0004-8743-7092)
Institutions
- American College of Clinical Pharmacy (US)
Publication Details
- Journal
- JACCP JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY
- Published
- 2025-02-13
- DOI
- https://doi.org/10.1002/jac5.70004
- Citations
- 8
- Primary Topic
- Health Systems, Economic Evaluations, Quality of Life
- Type
- article
- Field-Weighted Citation Impact
- 25.05