Department of Food and Resource Economics, University of Copenhagen, Copenhagen, Denmark.
Bioethics. 2022 Feb;36(2):178-186. doi: 10.1111/bioe.12930. Epub 2021 Aug 24.
In this article I consider two pertinent questions that practitioners must consider when they deploy an algorithmic system as support in clinical shared decision-making. The first question concerns how to interpret and assess the significance of different performance measures for clinical decision-making. The second question concerns the professional obligations that practitioners have to communicate information about the quality of an algorithm's output to patients in light of the principles of autonomy, beneficence, and justice. In the article I review the four standard performance measures used to evaluate and validate algorithms, outline their role in the discussion of algorithmic fairness, and discuss the professional responsibilities that practitioners face when communicating information about these measures to patients.
在本文中，我考虑了从业者在将算法系统部署为临床共享决策支持时必须考虑的两个相关问题。第一个问题涉及如何解释和评估不同的临床决策表现指标的意义。第二个问题涉及从业者根据自主性、慈善和正义的原则向患者传达算法输出质量信息的专业义务。在本文中，我回顾了用于评估和验证算法的四个标准性能指标，概述了它们在算法公平性讨论中的作用，并讨论了从业者在向患者传达这些指标信息时面临的专业责任。
