Faculty of Medicine, Fayoum University, Fayoum, Egypt.
Faculty of Pharmacy and Medical Sciences, The University of Petra, Amman, Jordan.
BMC Health Serv Res. 2024 Nov 28;24(1):1500. doi: 10.1186/s12913-024-11815-1.
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 < 0.05.
The study sample size included 428 pharmacists from the main economic regions of Egypt. The results revealed a strong recognition (73.6%) among participants of ChatGPT's anticipated benefits within pharmacy practice. Around two-thirds of the participants (65.9%) expressed disagreement or neutrality regarding the application of ChatGPT for analyzing patients' medical inputs and providing individualized medical advice. Regarding factors affecting perception, we found that the region is the only factor that significantly contributed to the level of perception among pharmacists (P = 0.011) with Greater cairo region showing the highest perception level. We found that 73.6% of participants who have heard about ChatGPT reported high levels of concern. One-third of participants never use ChatGPT in their pharmacy work, and 20% rarely use it. Using Spearman's correlation test, there was no significant correlation between anticipated advantages, concerns and practice level (P > 0.05).
This study reveals a generally positive perception of ChatGPT's potential benefits among Egyptian pharmacists, despite existing concerns regarding accuracy, data privacy, and bias. Notably, no significant associations were found between demographic factors and pharmacists' perceptions, practices, or concerns. This underscores the need for comprehensive educational initiatives to promote informed and responsible ChatGPT utilization within pharmacy practice. Future research should explore the development and implementation of tailored training programs and guidelines to ensure the safe and effective integration of ChatGPT into pharmacy workflows for optimal patient care.
像 ChatGPT 这样的大型语言模型(LLMs)的出现引起了人们的极大关注,因为它们有可能彻底改变药学实践。虽然人工智能(AI)带来了有希望的好处,但它的集成也带来了独特的挑战。
本横断面研究旨在探讨当前埃及药剂师对 ChatGPT 在药学实践中的看法、实践和关注。
研究问卷于 2024 年 3 月和 4 月分发给药剂师。我们包括由埃及卫生部和人口部许可的药剂师。我们采用了方便抽样技术,通过电子邮件、学生网络、社交媒体(脸书和 WhatsApp)和学生组织发送研究问卷。任何有兴趣参与的药剂师都可以点击链接查看研究描述,并在继续研究之前电子同意。使用 SPSS 软件分析数据,对分类变量使用卡方检验,对连续变量使用斯皮尔曼相关系数。统计显著性设为 p < 0.05。
该研究样本量包括来自埃及主要经济区的 428 名药剂师。结果显示,参与者强烈认识到 ChatGPT 在药学实践中预期的好处(73.6%)。大约三分之二的参与者(65.9%)对使用 ChatGPT 分析患者的医疗输入和提供个性化医疗建议表示不同意或中立。关于影响认知的因素,我们发现,该地区是唯一显著影响药剂师认知水平的因素(P = 0.011),其中大开罗地区的认知水平最高。我们发现,73.6%听说过 ChatGPT 的参与者表示高度关注。三分之一的参与者在他们的药房工作中从未使用过 ChatGPT,20%的人很少使用它。使用斯皮尔曼相关检验,预期优势、关注和实践水平之间没有显著相关性(P > 0.05)。
这项研究显示,埃及药剂师普遍对 ChatGPT 的潜在好处持积极看法,尽管他们对准确性、数据隐私和偏见表示担忧。值得注意的是,人口因素与药剂师的认知、实践或关注之间没有发现显著关联。这突显了需要开展全面的教育计划,以促进在药学实践中明智和负责任地使用 ChatGPT。未来的研究应探索制定和实施量身定制的培训计划和准则,以确保安全有效地将 ChatGPT 纳入药房工作流程,以实现最佳的患者护理。