The social life of biomedical data
Capturing, obscuring, and envisioning care in the digital safety-net
Bibliographic Data
| ID | 4594345 |
|---|---|
| Authors | Taylor Marion Cruz (0000-0002-1943-7718, California State University, Fullerton, corresponding author) |
| Year | 2022 |
| Volume | 294 |
| Pages | 114670 |
| Publication date | 2022-02-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Science & Medicine (JOURNAL) |
| Journal identifiers | ISSN: 0277-9536 • E-ISSN: 1873-5347 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.socscimed.2021.114670 |
| PMID | 35114488 |
| OpenAlex | W4206642598 |
| Language | EN |
| Citations received | 20 |
| References cited | 57 |
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
Big data · Context (archaeology · Data science · Digital health · Epistemology · Ethnography · Everyday life · Health care · Internet privacy · Political science · Public relations · Reflexivity · Situated · Social science · Sociology · Computer Science · Ethics and Social Impacts of AI · Ethics in Clinical Research · Race, Genetics, and Society · Artificial Intelligence
From Blood Disorders to Data Disorder. The Thwarted Path From Onco-haematology Clinic to Occupational Cancer Epidemiology
Practitioner narratives on health data management for sexuality and gender diverse people
Commodifying the microbial self
Postdigital/More-Than-Digital Meaning-Making
Infrastructuring Educational Genomics
Postdigital Possibilities in Applied Linguistics
Polygenic scores as bio-social policy instruments
Interdisciplinary expertise to advance human-centered explainable AI
Disrupting the information order in health care
A tale of tradition and modernization
The Banality of Surveillance
Social life of HIV data
Marginalized measures
Clinical algorithms, racism, and "fairness" in healthcare
Discuss and remember
Resistance, tensions and consent to digital working in healthcare
We're implementing AI now, so why not ask us what to do? - How AI providers perceive and navigate the spread of diagnostic AI in complex healthcare systems
Artificial intelligence-based computer aided detection (AI-CAD) in the fight against tuberculosis
The social life of risk probabilities in medicine
Anticolonial Platform Studies
Science in action
Cooking Data Culture and Politics in an African Research World
The Wiley Blackwell Companion to Medical Sociology
Algorithms of Oppression
Dissecting racial bias in an algorithm used to manage the health of populations
The Social Life of DNA
Retroaction
Stakeholder Experiences With Gender Identity Data Capture in Electronic Health Records
Data politics on the move
On Justification
Dangerous data
Can AI Help Reduce Disparities in General Medical and Mental Health Care
Values, challenges and future directions of big data analytics in healthcare
Datafication and accountability in public health
The social life of data points
Leveraging Advances in Technology to Promote Health Equity
Human-Machine Reconfigurations
Social Organization and Social Process
Biomedicalization
Perils of data-driven equity
Capturing patients, missing inequities
Fat broken arm syndrome
Theorising big IT programmes in healthcare
Diagnosing uncertainty
The social life of health records
Racialized algorithms for kidney function
The making of a population
A crack in the wall
Choose and Book
On Critique
Seeing Like a Survey
The 'Social Life of Methods
Reassembling Social Science Methods
Popular Culture, Digital Archives and the New Social Life of Data
Like a Fish out of Water
Why Sociology Matters to Race and Biosocial Science
Technologies and Health Inequities
The Datafication of Health
Housing Is Health Care
Weak Data
Smart textiles
Audit Culture Revisited
Enacting the social
| Unique citing works | 20 |
|---|---|
| Citations per year | 5 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 19 |