弥合药物安全方面的代际差距：护士、学生和生成式人工智能模型的见解。
Bridging generational gaps in medication safety: insights from nurses, students, and generative AI models.
作者信息
Orkaby Brurya, Kerner Erika, Saban Mor, Levin Chedva
机构信息
Faculty of School of Life and Health Sciences, Nursing Department, The Jerusalem College of Technology-Lev Academic Center, Jerusalem, Israel.
The Department of Hemodialysis Children, Shaare Zedek Medical Center, Jerusalem, Israel.
出版信息
BMC Nurs. 2025 Apr 7;24(1):382. doi: 10.1186/s12912-025-03034-8.
BACKGROUND
This study investigated medication dose calculation accuracy among nurses, nursing students, and Generative AI (GenAI) models, examining error prevention strategies across generational cohorts.
METHODS
A cross-sectional study was conducted from June to August 2024, involving 101 pediatric/neonatal nurses, 91 nursing students, and four GenAI models. Participants completed a questionnaire on calculation proficiency and provided recommendations for error prevention. Qualitative responses were analyzed to describe attitudes and perceptions.
RESULTS
70% of nurses reported previous medication errors compared to 19.5% of students. Thematic analysis identified six key areas for error prevention: double-checking, calculation methods, work environment, training, drug configuration, and technology use. Only students recommended GenAI integration, while nurses emphasized double-checking.
CONCLUSIONS
The study highlights generational differences in medication safety approaches and suggests potential benefits of incorporating GenAI as an additional verification layer. These findings contribute to improving nursing education and practice through technological advancements while addressing persistent medication calculation challenges.
背景
本研究调查了护士、护理专业学生和生成式人工智能（GenAI）模型在药物剂量计算方面的准确性，同时研究了不同代际群体的错误预防策略。
方法
于2024年6月至8月进行了一项横断面研究，涉及101名儿科/新生儿科护士、91名护理专业学生和四个GenAI模型。参与者完成了一份关于计算熟练度的问卷，并提供了错误预防建议。对定性回答进行分析以描述态度和看法。
结果
70%的护士报告曾出现过用药错误，而学生的这一比例为19.5%。主题分析确定了六个预防错误的关键领域：复查、计算方法、工作环境、培训、药物配置和技术使用。只有学生建议整合GenAI，而护士则强调复查。
结论
该研究突出了用药安全方法上的代际差异，并表明将GenAI作为额外验证层可能带来的好处。这些发现有助于通过技术进步改善护理教育和实践，同时应对持续存在的药物剂量计算挑战。
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