基于人工智能的决策支持系统的实施,用于医院的抗生素处方:Delphi研究
Pinar Tokgöz1, Joanna Albrecht1, Christoph Dockweiler1
1Faculty of Arts and Humanities, Professorship of Digital Public Health, University of Siegen, Siegen, Germany.
Frontiers in digital health
|May 12, 2025
概括
在医院中实施基于人工智能 (AI) 的决策支持系统 (DSS) 需要关注以用户为中心的设计,组织结构和信任. 解决这些因素是成功在医疗保健中采用人工智能的关键.
科学领域:
- 医疗保健信息学 医疗保健信息学
- 人工智能在医学中的应用
- 临床决策支持 临床决策支持
背景情况:
- 抗菌素耐药性 (AMR) 需要改善抗生素管理.
- 基于人工智能 (AI) 的决策支持系统 (DSS) 提供了优化医院抗生素治疗的潜力.
- 实施基于AI的DSS的挑战需要仔细考虑.
研究的目的:
- 通过使用Delphi研究,调查影响医院实施基于AI的DSS的因素.
- 确定在临床环境中成功采用基于AI的DSS的关键领域.
主要方法:
- 一项德尔菲研究,涉及来自医院和DSS开发背景的36名专家.
- 建立关于34个实施因素的重要性和实现的共识.
主要成果:
- 在基于人工智能的DSS实施中,达成共识是34个因素的重要性.
- 关注的关键因素包括以用户为导向的开发,用户友好的结构,建立信任,透明度和责任.
- 两个因素在重要性上缺乏共识,这表明需要优先实施.
结论:
- 基于人工智能的DSS的成功实施取决于优先考虑以用户为中心,组织支持和道德考虑.
- 对实施因素采取有针对性的方法比解决所有潜在问题更为实用.
- 进一步关注宣传和教育对于组织和法律的接受至关重要.
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