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.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11880702 | PMC |
| http://dx.doi.org/10.1016/j.rcsop.2024.100518 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Health Communication on the Internet: Promoting Public Health and Exploring Disparities in the Generative AI Era.
J Med Internet Res
March 2025
Department of Pharmacy, Second Affiliated Hospital, School of Public health, Zhejiang University School of Medicine, Hangzhou, China.
Health communication and promotion on the internet have evolved over time, driven by the development of new technologies, including generative artificial intelligence (GenAI). These technological tools offer new opportunities for both the public and professionals. However, these advancements also pose risks of exacerbating health disparities.
View Article and Find Full Text PDFArtificial intelligence in healthcare education: evaluating the accuracy of ChatGPT, Copilot, and Google Gemini in cardiovascular pharmacology.
Front Med (Lausanne)
February 2025
Division of Pulmonary, Critical Care, and Sleep Medicine, School of Medicine, Case Western Reserve University, Cleveland, OH, United States.
Background: Artificial intelligence (AI) is revolutionizing medical education; however, its limitations remain underexplored. This study evaluated the accuracy of three generative AI tools-ChatGPT-4, Copilot, and Google Gemini-in answering multiple-choice questions (MCQ) and short-answer questions (SAQ) related to cardiovascular pharmacology, a key subject in healthcare education.
Methods: Using free versions of each AI tool, we administered 45 MCQs and 30 SAQs across three difficulty levels: easy, intermediate, and advanced.
Capturing pharmacists' perspectives on the value, risks, and applications of ChatGPT in pharmacy practice: A qualitative study.
Explor Res Clin Soc Pharm
December 2024
Department of Clinical Pharmacy & Pharmacotherapeutics, Dubai Pharmacy College for Girls, AlMuhaisanah 1, Al mizhar Dubai, United Arab Emirates.
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.
Generative AI, molecular docking and molecular dynamics simulations assisted identification of novel transcriptional repressor EthR inhibitors to target .
Heliyon
February 2025
SilicoScientia Private Limited, Nagananda Commercial Complex, No. 07/3, 15/1, 18th Main Road, Jayanagar 9th Block, Bengaluru, 560041, India.
Tuberculosis (TB) remains a persistent global health threat, with (Mtb) continuing to be a leading cause of mortality worldwide. Despite efforts to control the disease, the emergence of multi-drug-resistant (MDR) and extensively drug-resistant (XDR) TB strains presents a significant challenge to conventional treatment approaches. Addressing this challenge requires the development of novel anti-TB drug molecules.
View Article and Find Full Text PDFEnhancing perinatal health patient information through ChatGPT - An accuracy study.
PEC Innov
June 2025
Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland.
Objectives: To evaluate ChatGPT's accuracy as information source for women and maternity-care workers on "nutrition" and "red flags" in pregnancy.
Methods: Accuracy of ChatGPT-generated recommendations was assessed by a 5-point Likert scale by eight raters for ten indicators per topic in four languages (French, English, German and Dutch). Accuracy and interrater agreement were calculated per topic and language.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!