Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385780655> ?p ?o ?g. }
- W4385780655 abstract "Recent scientific and policy initiatives frame clinical settings as sites for intervening upon inequality. Electronic health records and data analytic technologies offer opportunity to record standard data on education, employment, social support, and race-ethnicity, and numerous audiences expect biomedicine to redress social determinants based on newly available data. However, little is known on how health practitioners and institutional actors view data standardization in relation to inequity. This article examines a public safety-net health system’s expansion of race, ethnicity, and language data collection, drawing on 10 months of ethnographic fieldwork and 32 qualitative interviews with providers, clinic staff, data scientists, and administrators. Findings suggest that electronic data capture institutes a decontextualized racialization within biomedicine as health practitioners and data workers rely on biological, cultural, and social justifications for collecting racial data. This demonstrates a critical paradox of stratified biomedicalization: The same data-centered interventions expected to redress injustice may ultimately reinscribe it." @default.
- W4385780655 created "2023-08-13" @default.
- W4385780655 creator A5034830640 @default.
- W4385780655 date "2023-08-12" @default.
- W4385780655 modified "2023-10-18" @default.
- W4385780655 title "Racing the Machine: Data Analytic Technologies and Institutional Inscription of Racialized Health Injustice" @default.
- W4385780655 cites W142817075 @default.
- W4385780655 cites W1658065236 @default.
- W4385780655 cites W1967935505 @default.
- W4385780655 cites W1969255955 @default.
- W4385780655 cites W1971796116 @default.
- W4385780655 cites W2012868368 @default.
- W4385780655 cites W2013052068 @default.
- W4385780655 cites W2016960024 @default.
- W4385780655 cites W2065629931 @default.
- W4385780655 cites W2084387815 @default.
- W4385780655 cites W2100825321 @default.
- W4385780655 cites W2107078676 @default.
- W4385780655 cites W2107916612 @default.
- W4385780655 cites W2111483088 @default.
- W4385780655 cites W2116191030 @default.
- W4385780655 cites W2124946302 @default.
- W4385780655 cites W2131401975 @default.
- W4385780655 cites W2134478278 @default.
- W4385780655 cites W2144350608 @default.
- W4385780655 cites W2163749674 @default.
- W4385780655 cites W2167390387 @default.
- W4385780655 cites W2346355968 @default.
- W4385780655 cites W2471864220 @default.
- W4385780655 cites W2526274820 @default.
- W4385780655 cites W2550442068 @default.
- W4385780655 cites W2566124686 @default.
- W4385780655 cites W2581346108 @default.
- W4385780655 cites W2605632327 @default.
- W4385780655 cites W2609486760 @default.
- W4385780655 cites W2624279229 @default.
- W4385780655 cites W2783602325 @default.
- W4385780655 cites W2794358751 @default.
- W4385780655 cites W2796212360 @default.
- W4385780655 cites W2903971515 @default.
- W4385780655 cites W2907260560 @default.
- W4385780655 cites W2909131725 @default.
- W4385780655 cites W2970939677 @default.
- W4385780655 cites W2981869278 @default.
- W4385780655 cites W3017014954 @default.
- W4385780655 cites W3021467368 @default.
- W4385780655 cites W3025644712 @default.
- W4385780655 cites W3033999794 @default.
- W4385780655 cites W3035885149 @default.
- W4385780655 cites W3046829337 @default.
- W4385780655 cites W3092762782 @default.
- W4385780655 cites W3110496306 @default.
- W4385780655 cites W3129114967 @default.
- W4385780655 cites W3188217515 @default.
- W4385780655 cites W3200388269 @default.
- W4385780655 cites W4205217429 @default.
- W4385780655 cites W4214699266 @default.
- W4385780655 cites W4239900137 @default.
- W4385780655 cites W4243209521 @default.
- W4385780655 cites W4245198606 @default.
- W4385780655 cites W4247002863 @default.
- W4385780655 cites W4251969259 @default.
- W4385780655 cites W4252204626 @default.
- W4385780655 cites W4302210580 @default.
- W4385780655 cites W4309474336 @default.
- W4385780655 cites W4313635394 @default.
- W4385780655 cites W4323051708 @default.
- W4385780655 cites W4365388135 @default.
- W4385780655 cites W4255121427 @default.
- W4385780655 doi "https://doi.org/10.1177/00221465231190061" @default.
- W4385780655 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37572020" @default.
- W4385780655 hasPublicationYear "2023" @default.
- W4385780655 type Work @default.
- W4385780655 citedByCount "0" @default.
- W4385780655 crossrefType "journal-article" @default.
- W4385780655 hasAuthorship W4385780655A5034830640 @default.
- W4385780655 hasConcept C107993555 @default.
- W4385780655 hasConcept C119857082 @default.
- W4385780655 hasConcept C137403100 @default.
- W4385780655 hasConcept C138816342 @default.
- W4385780655 hasConcept C144024400 @default.
- W4385780655 hasConcept C159110408 @default.
- W4385780655 hasConcept C17744445 @default.
- W4385780655 hasConcept C19165224 @default.
- W4385780655 hasConcept C199539241 @default.
- W4385780655 hasConcept C2250968 @default.
- W4385780655 hasConcept C2776515129 @default.
- W4385780655 hasConcept C2777266375 @default.
- W4385780655 hasConcept C2780443679 @default.
- W4385780655 hasConcept C39549134 @default.
- W4385780655 hasConcept C41008148 @default.
- W4385780655 hasConcept C54355233 @default.
- W4385780655 hasConcept C66782513 @default.
- W4385780655 hasConcept C71924100 @default.
- W4385780655 hasConcept C76509639 @default.
- W4385780655 hasConcept C86803240 @default.
- W4385780655 hasConcept C87156501 @default.
- W4385780655 hasConceptScore W4385780655C107993555 @default.
- W4385780655 hasConceptScore W4385780655C119857082 @default.
- W4385780655 hasConceptScore W4385780655C137403100 @default.