利用ChatGPT在药房实践中的数字工具
Reginald Amin Yakob1, Adeola Bamgboje-Ayodele2, Jack C Collins1
1School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Pharmacy and Bank Building A15, Science Rd, New South Wales, 2006, Australia.
Research in social & administrative pharmacy : RSAP
|June 28, 2025
概括
药剂师可以利用大语言模型 (LLM) 和人工智能 (AI) 来开发实用的数字工具,用于药房实践. 提高数字能力使患者护理和专业进步的创新成为可能.
科学领域:
- 医疗保健中的人工智能
- 数字健康和药房实践数字健康和药房实践
- 制药科学中的计算方法
背景情况:
- 大型语言模型 (LLM) 在医疗保健中提供了潜在的好处,但面临着准确性和隐私等挑战.
- 对于为药剂师生成功能代码的LLM的实用性在很大程度上是未被探索的.
- 数字能力对于药剂师来说至关重要,以适应不断发展的AI技术.
研究的目的:
- 为药剂师展示一种实用的方法,即使用LLM来创建实践特定的数字工具.
- 用AI生成的代码展示用于常见药房任务的功能原型的开发.
- 鼓励药剂师提高数字技能,以实现人工智能驱动的创新和协作.
主要方法:
- 通过代提示请求代码生成与ChatGPT (一个大型语言模型) 进行交互.
- 开发用于药理动力学计算,剂量调整,药物相互作用检查和多语言信息获取的工具.
- 在创建的AI产生的工具上进行试点功能测试.
主要成果:
- 用LLM生成的代码成功创建了药房实践工具的功能原型.
- 开发的工具包括药物动力学和剂量参数计算器,药物相互作用检查器和翻译辅助工具.
- 所有创建的工具都通过了初步的试点功能评估.
结论:
- 药剂师可以提高他们的数字能力,利用生成性AI来创建创新的实践工具.
- 探索人工智能能力可以带来药房内部数字支持的进步,并促进与技术专家的合作.
- 解决监管方面的问题,包括数据隐私和问责制,对于药房人工智能工具开发至关重要.
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