Journal ArticleFull Review

Everyday Diagnostic Work in the Histopathology Lab: CSCW Perspectives on the Utilization of Data-Driven Clinical Decision Support Systems

Loading...
Thumbnail Image

Fulltext URI

Document type

Text/Journal Article

Additional Information

Date

Journal Title

Journal ISSN

Volume Title

Publisher

Springer

Abstract

In this paper we present an ethnographic study of the work of histopathologists as they grapple with the twin innovations of transitioning to digital biopsy images and the prospective adoption of an AI-based clinical decision support system (CDSS). We explore how they are adapting to the former and their expectations of the latter. The study’s ethnomethodologically-informed ethnography approach brings to light some key issues regarding the nature of diagnostic work, and accountability and trust that are central to the successful adoption of technological innovations in clinical settings.

Description

Procter, Rob; Rouncefield, Mark; Tolmie, Peter; Verrill, Clare (2024): Everyday Diagnostic Work in the Histopathology Lab: CSCW Perspectives on the Utilization of Data-Driven Clinical Decision Support Systems. Computer Supported Cooperative Work, Vol. 33. DOI: 10.1007/s10606-024-09496-9. London: Springer. ISSN: 0925-9724. Full Papers. Rimini, Italy. June 17-21, 2024

Keywords

Clinical Decision Support Systems, Histopathology, Professional Vision, Ethnography

Citation

URI

Endorsement

Review

Supplemented By

Referenced By


Number of citations to item: 2

  • Miklós Vincze, Mera Nizam-Edden Saulaiman, Gyula Szigeti, Miklos Kozlovszky (2025): The interactive 3D visualisation of diagnostic data, In: 2025 IEEE 29th International Conference on Intelligent Engineering Systems (INES), doi:10.1109/ines67149.2025.11078193
  • Juanling He, Rongrong Ni, Sifeng Wu, Lu Dai, Yongjun Luo, Xu Luo (2025): Smart healthcare in mobile hospitals: enhancing response to Disease X, In: BMC Infectious Diseases 1(25), doi:10.1186/s12879-025-10925-3
Please note: Providing information about citations is only possible thanks to to the open metadata APIs provided by crossref.org and opencitations.net. These lists may be incomplete due to unavailable citation data.source: opencitations.net, crossref.org