The social life of biomedical data: Capturing, obscuring, and envisioning care in the digital safety-net

Taylor Marion Cruz

Social Science & Medicine, 2022, vol. 294, issue C

Abstract: Biomedical investment in digital technologies has flooded society with staggering volumes of data, spurring high-tech innovations such as performance metrics, clinical algorithms, and public data dashboards. In examining the social life of data artifacts, scholars draw from actor-network theory to emphasize data's ability to represent social reality while circulating within it, while others suggest formal data models fail to account for invisible relations on the ground. Yet little work has examined the role of human reflexivity in crafting complex human-data configurations in practice, such as how situated human actors relate to data representations within the social reality they intimately know themselves. Drawing on ethnographic fieldwork of Electronic Health Records (EHRs) and data analytics integration from inside the digital safety-net, this article shows how health care workers recognize data simultaneously capture, obscure, and envision their everyday work of caring for the marginalized. By demonstrating how the same data point may in one context demonstrate good care while in another obscure it, these findings suggest need to broaden attention to the social life of data beyond delimited focus on standards and their travels. Digital technologies do not simply capture the social, but multiply it. Biomedical data then do not have one social life, but many.

Keywords: Biomedical data; Electronic health records; Data analytics; Actor-network theory; Qualitative methods; Safety-net; Clinical settings; United States (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (5)

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DOI: 10.1016/j.socscimed.2021.114670

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