Perception, concerns, and practice of ChatGPT among Egyptian pharmacists: a cross-sectional study in Egypt

The emergence of large language models (LLMs) like ChatGPT attracted significant attention for their potential to revolutionize pharmacy practice. While artificial intelligence (AI) offers promising benefits, its integration also presents unique challenges. This cross-sectional study aimed to explor...

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Bibliographic Details
Published in:BMC health services research 2024-11, Vol.24 (1), p.1500-13, Article 1500
Main Authors: Taha, Taha Abd-ElSalam Ashraf, Abdel-Qader, Derar H, Alamiry, Kareem R, Fadl, Zeyad A, Alrawi, Aya, Abdelsattar, Nada K
Format: Article
Language:English
Subjects:
Adult
Analysis
Artificial intelligence
Attitude of Health Personnel
ChatGPT
Concerns
Cross-Sectional Studies
Drugstores
Egypt
Female
Humans
Large language models
Male
Middle Aged
Patient compliance
Perception
Perceptions
Pharamacists
Pharmacists
Pharmacists - psychology
Pharmacy
Practice
Social Media
Surveys
Surveys and Questionnaires
Technology application
Citations: Items that this one cites
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Summary:The emergence of large language models (LLMs) like ChatGPT attracted significant attention for their potential to revolutionize pharmacy practice. While artificial intelligence (AI) offers promising benefits, its integration also presents unique challenges. This cross-sectional study aimed to explore the current Egyptian pharmacists' perceptions, practices, and concerns regarding ChatGPT in pharmacy practice. The study questionnaire was shared with pharmacists during March and April 2024. We included pharmacists licensed by the Egyptian Ministry of Health and Population. We adapted a convenient sampling technique by sending the research questionnaire via emails, student networks, social media (Facebook and WhatsApp), and student organizations. Any pharmacist interested in participating followed a link to review the study description and was asked to provide electronic consent before continuing with the study. Data were analyzed using SPSS software, employing Chi-square tests for categorical variables and Spearman's correlation for continuous variables. Statistical significance was set at p 
ISSN:1472-6963
1472-6963
DOI:10.1186/s12913-024-11815-1