Capturing pharmacists’ perspectives on the value, risks, and applications of ChatGPT in pharmacy practice: A qualitative study

Autor: Ammar Abdulrahman Jairoun, Sabaa Saleh Al-Hemyari, Moyad Shahwan, Ghala Rashid Alnuaimi, Nihal Ibrahim, Ammar Ali Saleh Jaber
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Exploratory Research in Clinical and Social Pharmacy, Vol 16, Iss , Pp 100518- (2024)
Druh dokumentu: article
ISSN: 2667-2766
DOI: 10.1016/j.rcsop.2024.100518
Popis: Objectives: To investigate the pharmacists' perspectives on benefits and risks of using ChatGPT in pharmacy practice and explore how this disruptive and ground-breaking technology can be effectively integrated. Methods and materials: A qualitative approach that draws data from licensed pharmacists using semi-structured interviews. Results: Most participants felt ChatGPT could enhance the compliance, use, management, safety, adherence to medication, medication counseling, minimize medication errors, and streamline medication dispensing. However, when Chat-GPT has limited information and relies on obsolete medication databases, it risks providing inaccurate recommendations and inadequate medication details. Also, most participants highlighted the difficulty in interpreting ambiguous patient input or drug descriptions when using the application. Conclusions: Despite its potential, utilizing ChatGPT in pharmacy practice must be dependent on evidence-based results that offer profound insight into AI technology.
Databáze: Directory of Open Access Journals