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临床决策支持系统的认知和接受之间的差异:实施人工智能用于万科米辛剂量
Xinyan Liu1,2, Erin F Barreto3, Yue Dong4
1Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN, 55905, USA.
BMC medical informatics and decision making
|August 11, 2023
概括
药剂师发现人工智能 (AI) 临床决策支持系统 (CDSS) 对万科米辛剂量有希望,但由于不信任和数据整合问题,他们犹不决地采用它们. 为了有效实施,需要进一步的研究.
科学领域:
- 临床药房 临床药房
- 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:
- 人工智能 (AI) 工具需要临床医生的接受才能获得最佳效果.
- 一个基于人工智能的临床决策支持系统 (CDSS) 已经开发出来,以帮助万科米辛的剂量.
- 这项研究探讨了临床医生对CDSS实施的看法.
研究的目的:
- 评估关键护理药剂师对基于AI的CDSS对万科米辛剂量的看法.
- 了解在临床实践中采用人工智能工具的障碍和促进因素.
主要方法:
- 定性研究涉及13个半结构面试与重症监护药剂师.
- 对104个临床病例的讨论,将药剂师的经验剂量与CDSS建议进行比较.
- 分析药剂师反应和反,揭示CDSS输出.
主要成果:
- 药剂师花费大量时间来个性化万科米辛治疗.
- 大多数药剂师认为CDSS可以提高万科米辛剂量决策 (62-69%).
- 药剂师和CDSS剂量之间存在显著差异 (85%);由于不信任和数据限制,药剂师经常拒绝CDSS建议.
结论:
- 药剂师对人工智能在药物剂量方面表达了热情,但对临床整合表示不情愿.
- 障碍包括不信任,缺乏动态分析和不完整的数据集成.
- 进一步的研究是必要的,以优化CDSS的实施,以获得临床接受和改善患者的治疗结果.
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