Torenholt Rikke, Langstrup Henriette
University of Copenhagen, Denmark.
Health (London). 2023 Jan;27(1):41-59. doi: 10.1177/1363459321996741. Epub 2021 Mar 8.
In both popular and academic discussions of the use of algorithms in clinical practice, narratives often draw on the decisive potentialities of algorithms and come with the belief that algorithms will substantially transform healthcare. We suggest that this approach is associated with a . However, we argue that in clinical practice alongside this logic, another and less recognised logic exists, namely that of : here the use of algorithms constitutes part of an established practice. Applying these logics as our analytical framing, we set out to explore how algorithms for clinical decision-making are enacted by political stakeholders, healthcare professionals, and patients, and in doing so, study how the legitimacy of delegating to an algorithm is negotiated and obtained. Empirically we draw on ethnographic fieldwork carried out in relation to attempts in Denmark to develop and implement Patient Reported Outcomes (PRO) tools - involving algorithmic sorting - in clinical practice. We follow the work within two disease areas: heart rehabilitation and breast cancer follow-up care. We show how at the political level, algorithms constitute tools for inefficient work and unsystematic patient involvement, whereas closer to the clinical practice, algorithms constitute a of standardised and evidence-based diagnostic procedures and a of the physicians' expertise and authority. We argue that the co-existence of the two logics have implications as both provide a push towards the use of algorithms and how a may divert attention away from new issues introduced with automated digital decision-support systems.
在关于算法在临床实践中应用的大众和学术讨论中,相关叙述往往依赖于算法的决定性潜力,并伴随着算法将极大改变医疗保健的信念。我们认为这种方法与一种……相关联。然而,我们认为在临床实践中,除了这种逻辑之外,还存在另一种较少被认可的逻辑,即……的逻辑:在这里,算法的使用构成了既定实践的一部分。将这些逻辑作为我们的分析框架,我们着手探讨临床决策算法是如何由政治利益相关者、医疗保健专业人员和患者实施的,并在此过程中研究将决策权委托给算法的合法性是如何协商和获得的。从实证角度看,我们借鉴了在丹麦开展的民族志实地调查,该调查涉及在临床实践中开发和实施患者报告结果(PRO)工具——包括算法分类。我们跟踪了两个疾病领域的工作:心脏康复和乳腺癌后续护理。我们展示了在政治层面,算法如何成为处理低效工作和患者参与缺乏系统性的工具,而在更接近临床实践的层面,算法如何构成标准化和基于证据的诊断程序的……以及医生专业知识和权威的……。我们认为这两种逻辑的共存具有影响,因为它们都推动了算法的使用,而且一种……可能会将注意力从自动化数字决策支持系统引入的新问题上转移开。