Mehta Nishila, Born Karen, Fine Benjamin
Temerty Faculty of Medicine, King's College Cir, Toronto, ON, M5S 1A8, Canada.
Unity Health Toronto, 30 Bond Street, Toronto, Ontario, M5B 1W8, Canada.
Bioelectron Med. 2021 Apr 21;7(1):5. doi: 10.1186/s42234-021-00066-8.
The overuse of low value medical tests and treatments drives costs and patient harm. Efforts to address overuse, such as Choosing Wisely campaigns, typically rely on passive implementation strategies- a form of low reliability system change. Embedding guidelines into clinical decision support (CDS) software is a higher leverage approach to provide ordering suggestions through an interface embedded within the clinical workflow. Growth in computing power is increasingly enabling artificial intelligence (AI) to augment such decision making tools. This article offers a roadmap of opportunities for AI-enabled CDS to reduce overuse, which are presented according to a patient's journey of care.
低价值医学检查和治疗的过度使用会增加成本并对患者造成伤害。诸如“明智选择”运动等解决过度使用问题的努力通常依赖于被动实施策略——一种可靠性较低的系统变革形式。将指南嵌入临床决策支持（CDS）软件是一种更具影响力的方法，可通过嵌入临床工作流程的界面提供医嘱建议。计算能力的提升越来越使人工智能（AI）能够增强此类决策工具。本文提供了一个路线图，介绍了借助人工智能的临床决策支持系统减少过度使用的机会，这些机会是根据患者的就医过程呈现的。
