Data Work Between the Local and the Global: An Ethnography of a Healthcare Business Intelligence Unit
Asbjørn M. Pedersen, Claus Bossen
Abstract
This paper describes work practices at a public, non-profit healthcare business intelligence unit involved in creating BI reports and sharing these with healthcare management and professionals. Based on ethnographic fieldwork, we detail the various work tasks and processes involved in building data products that are applicable across various wards and healthcare professions, and, at the same time, intelligible and relevant for specific users: a challenge we frame as working with the tension between making the local and the global relevant to each other. We identified four ways in which this tension unfolds in the business intelligence unit's data work: consolidating standards, creating order out of chaos, engaging with healthcare professionals, and negotiating data and conflicts. We provide three contributions: we show how data work can unfold in close collaboration between professional data workers and domain experts; we nuance the existing research on data work by focusing on a less researched group of data workers; and we add to the few detailed ethnographies of business intelligence units.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Cited by top-tier papers1
Ask how each one uses itRelated papers
- Embracing Chaos Again: Tracing Boundary Negotiating Artifacts in Knowledge Workers' Data Practices for Collaborative Public Health Crisis ResponseJian-Sin Lee, Tiffany C. Veinot, Elizabeth YakelCHI 2026 · 1 citation
- How Domain Experts Work with Data: Situating Data Science in the Practices and Settings of CraftworkJu-Yeon Jung, Tom Steinberger, John L. King, Mark S. AckermanCSCW 2022 · 24 citations
- Troubling Collaboration: Matters of Care for Visualization Design StudyDerya Akbaba, Devin Lange, Michael Correll, Alexander Lex et al.CHI 2023 · 41 citations
- Data Work of Frontline Care Workers: Practices, Problems, and Opportunities in the Context of Data-Driven Long-Term CareYuling Sun, Xiaojuan Ma, Silvia Lindtner, Liang HeCSCW 2023 · 51 citations
- Interrogating Data Work as a Community of PracticeAnnabel Rothschild, Amanda Meng, Carl DiSalvo, Britney Johnson et al.CSCW 2022 · 29 citations
