An Algorithm at the Table at Multidisciplinary Diagnostic Meetings: A Dramaturgical Analysis.
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 wee...
| Publicado en: | Sociology of Health & Illness Vol. 48; no. 6; pp. 1 - 14 |
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| Autores principales: | , , , |
| Formato: | Artículo |
| Publicado: |
Wiley-Blackwell
Jul2026
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=195548011&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 195548011 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 01419889 7RA jtl: Sociology of Health & Illness issn: 01419889 maglogo: Y pubinfo: dt: Jul2026 vid: 48 iid: 6 pid: 480 pub: Wiley-Blackwell artinfo: ui: 195548011 10.1111/1467-9566.70213 ppf: 1 ppct: 13 formats: tig: atl: An Algorithm at the Table at Multidisciplinary Diagnostic Meetings: A Dramaturgical Analysis. aug: au: Dingelstad, Justien Grommé, Francisca Hoeven, Claartje ter Wallenburg, Iris affil: Erasmus University Rotterdam, Rotterdam, the Netherlands Utrecht University, Utrecht, the Netherlands su: Netherlands Artificial intelligence Ethnology research Interviewing Medical care Decision making Communication Diagnostic imaging Academic medical centers Professional practice Descriptive statistics Hospital radiological services Diagnostic errors Clinical competence Attitudes of medical personnel Machine learning Algorithms Health care teams sug: subj: Artificial intelligence Ethnology research Interviewing Medical care Decision making Communication Netherlands Diagnostic Imaging Centers Other Electronic and Precision Equipment Repair and Maintenance Diagnostic imaging Academic medical centers Professional practice Descriptive statistics Hospital radiological services Diagnostic errors Clinical competence Attitudes of medical personnel Machine learning Algorithms Health care teams keyword: algorithms diagnosis dramaturgy ethnography healthcare algorithms diagnosis dramaturgy ethnography healthcare ab: 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. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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