A scoping review of artificial intelligence within pharmacy education.
Artificial intelligence
Deep learning
Machine learning
Pharmacy education
Journal
American journal of pharmaceutical education
ISSN: 1553-6467
Titre abrégé: Am J Pharm Educ
Pays: United States
ID NLM: 0372650
Informations de publication
Date de publication:
30 Oct 2023
30 Oct 2023
Historique:
received:
25
07
2023
revised:
19
10
2023
accepted:
25
10
2023
pubmed:
2
11
2023
medline:
2
11
2023
entrez:
1
11
2023
Statut:
aheadofprint
Résumé
This scoping review aimed to summarize the available literature on the use of artificial intelligence (AI) in pharmacy education and identify gaps where additional research is needed. Seven studies specifically addressing the use of AI in pharmacy education were identified. Of these 7 studies, 5 focused on AI use in the context of teaching and learning, 1 on the prediction of academic performance for admissions, and the final study focused on using AI text generation to elucidate the benefits and limitations of ChatGPT use in pharmacy education. There are currently a limited number of available publications that describe AI use in pharmacy education. Several challenges exist regarding the use of AI in pharmacy education, including the need for faculty expertise and time, limited generalizability of tools, limited outcomes data, and several legal and ethical concerns. As AI use increases and implementation becomes more standardized, opportunities will be created for the inclusion of AI in pharmacy education.
Identifiants
pubmed: 37914030
pii: S0002-9459(23)04553-9
doi: 10.1016/j.ajpe.2023.100615
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
100615Informations de copyright
Copyright © 2023 American Association of Colleges of Pharmacy. Published by Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest None declared.