Assessing the applicability and appropriateness of ChatGPT in answering clinical pharmacy questions.

Details

Serval ID
serval:BIB_F6682B442781
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Assessing the applicability and appropriateness of ChatGPT in answering clinical pharmacy questions.
Journal
Annales pharmaceutiques francaises
Author(s)
Fournier A., Fallet C., Sadeghipour F., Perrottet N.
ISSN
0003-4509 (Print)
ISSN-L
0003-4509
Publication state
Published
Issued date
05/2024
Peer-reviewed
Oui
Volume
82
Number
3
Pages
507-513
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
Clinical pharmacists rely on different scientific references to ensure appropriate, safe, and cost-effective drug use. Tools based on artificial intelligence (AI) such as ChatGPT (Generative Pre-trained Transformer) could offer valuable support. The objective of this study was to assess ChatGPT's capacity to correctly respond to clinical pharmacy questions asked by healthcare professionals in our university hospital.
ChatGPT's capacity to respond correctly to the last 100 consecutive questions recorded in our clinical pharmacy database was assessed. Questions were copied from our FileMaker Pro database and pasted into ChatGPT March 14 version online platform. The generated answers were then copied verbatim into an Excel file. Two blinded clinical pharmacists reviewed all the questions and the answers given by the software. In case of disagreements, a third blinded pharmacist intervened to decide.
Documentation-related issues (n=36) and drug administration mode (n=30) were preponderantly recorded. Among 69 applicable questions, the rate of correct answers varied from 30 to 57.1% depending on questions type with a global rate of 44.9%. Regarding inappropriate answers (n=38), 20 were incorrect, 18 gave no answers and 8 were incomplete with 8 answers belonging to 2 different categories. No better answers than the pharmacists were observed.
ChatGPT demonstrated a mitigated performance in answering clinical pharmacy questions. It should not replace human expertise as a high rate of inappropriate answers was highlighted. Future studies should focus on the optimization of ChatGPT for specific clinical pharmacy questions and explore the potential benefits and limitations of integrating this technology into clinical practice.
Keywords
Artificial intelligence, ChatGPT, Clinical Pharmacy, Healthcare professionals’ issues, Large language models, Clinical pharmacy, Grands modèles de langage, Intelligence artificielle, Pharmacie clinique, Questions fréquentes des professionnels de la santé
Pubmed
Create date
23/11/2023 15:14
Last modification date
23/04/2024 6:59
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