An Algorithm at the Table at Multidisciplinary Diagnostic Meetings: A Dramaturgical Analysis.

IF 2.6 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Justien Dingelstad, Francisca Grommé, Claartje Ter Hoeven, Iris Wallenburg
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引用次数: 0

Abstract

This paper focuses on how a radiological classification algorithm temporarily became part of existing diagnostic deliberations between different medical specialists. It describes a participatory ethnographic case study in which the output of the algorithm was presented by the first author during weekly multidisciplinary neuro-oncology meetings. Following the dramaturgical framework of deliberations by Hajer and adhering to the sociology of diagnosis, we focus on how the algorithm interacted with the established deliberative dynamics of the meetings. We show that by the algorithm's presence, physicians were prompted to speculate about what the algorithm could mean for their collective diagnosis. They did not foresee an independent or leading role for the algorithm yet speculated about how, when and by whom the algorithmic output should be presented. Some physicians followed dominant AI tropes of self-evidence and objectivity, whereas others sought ways to contextualise and question the algorithmic output. We argue that following a dramaturgical framework unveils important questions that must be addressed to make algorithms fit into existing diagnostic practices, such as who represents the algorithm, when and how.

多学科诊断会议桌上的算法:戏剧分析。
本文着重于放射学分类算法如何暂时成为不同医学专家之间现有诊断审议的一部分。它描述了一个参与式人种学案例研究,其中算法的输出由第一作者在每周多学科神经肿瘤学会议上提出。遵循Hajer讨论的戏剧框架,并坚持诊断社会学,我们专注于算法如何与会议的既定审议动态相互作用。我们表明,由于该算法的存在,医生们被促使推测该算法对他们的集体诊断意味着什么。他们没有预见到该算法将扮演一个独立或主导的角色,但却对如何、何时以及由谁来呈现算法输出进行了推测。一些医生遵循人工智能的自明性和客观性,而另一些医生则寻求将算法输出置于背景下并提出质疑的方法。我们认为,遵循戏剧框架揭示了必须解决的重要问题,以使算法适应现有的诊断实践,例如谁代表算法,何时以及如何。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.10
自引率
6.90%
发文量
156
期刊介绍: Sociology of Health & Illness is an international journal which publishes sociological articles on all aspects of health, illness, medicine and health care. We welcome empirical and theoretical contributions in this field.
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