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人工智能引导剂量决策:对医疗保健提供者观点的定性研究
Jennifer Sumner1,2, Jaminah Mohamed Ali3, Mehul Motani4
1Medical Affairs, Alexandra Hospital, Singapore jennyssumner@gmail.com.
BMJ health & care informatics
|October 1, 2025
概括
医疗保健提供者认为人工智能 (AI) 在精确剂量方面具有潜力,但存在担忧. 成功采用需要强大的工具和整合到临床工作流程.
科学领域:
- 临床药理学 临床药理学
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
背景情况:
- 精确剂量定量旨在优化个体患者的药物治疗.
- 人工智能 (AI) 提供了提高药物剂量精度的潜力.
- 了解医疗保健提供者的观点对于采用新的AI技术至关重要.
研究的目的:
- 评估医疗保健提供者对人工智能指导精确剂量的看法.
- 确定在临床实践中实施人工智能引导的精确剂量管理的障碍和促进因素.
主要方法:
- 使用多种医疗保健提供者的有目的抽样进行的定性研究.
- 半结构面试探讨对人工智能支持的剂量和实施挑战的接受度.
- 使用基于技术接受和使用统一理论框架的演方法进行数据分析.
主要成果:
- 对16名参与者 (医生,护士,药剂师) 的采访揭示了不同的观点.
- 人工智能在改善决策和患者安全方面的已知的潜力.
- 对复杂案件中的人工智能,批判性思维,责任,信任,透明度和人类监督等问题提出了担忧.
结论:
- 支持人工智能的剂量工具可以优化药物治疗并提高患者的安全性.
- 在剂量方面采用人工智能的障碍仍然存在,需要技术上强大的工具.
- 成功实施需要与临床工作流程和用户对医疗保健中AI的期望保持一致.
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