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Accounting for accountable care: Value-based population health management
- Source :
- Social Studies of Science. 49:556-582
- Publication Year :
- 2019
- Publisher :
- SAGE Publications, 2019.
-
Abstract
- Accountable Care Organizations (ACOs) are exemplars of so-called value-based care in the US. In this model, healthcare providers bear the financial risk of their patients’ health outcomes: ACOs are rewarded for meeting specific quality and cost-efficiency benchmarks, or penalized if improvements are not demonstrated. While the aim is to make providers more accountable to payers and patients, this is a sea-change in payment and delivery systems, requiring new infrastructures and practices. To manage risk, ACOs employ data-intensive sourcing and big data analytics to identify individuals within their populations and sort them using novel categories, which are then utilized to tailor interventions. The article uses an STS lens to analyze the assemblage involved in the enactment of population health management through practices of data collection, the creation of new metrics and tools for analysis, and novel ways of sorting individuals within populations. The processes and practices of implementing accountability technologies thus produce particular kinds of knowledge and reshape concepts of accountability and care. In the process, account-giving becomes as much a procedural ritual of verification as an accounting for health outcomes.
- Subjects :
- Data Analysis
History
Process (engineering)
media_common.quotation_subject
Big data
Psychological intervention
Accounting
Population health
Data Aggregation
03 medical and health sciences
0302 clinical medicine
History and Philosophy of Science
Humans
Quality (business)
030212 general & internal medicine
media_common
Social Responsibility
Accountable Care Organizations
business.industry
030503 health policy & services
Financial risk
General Social Sciences
Payment
United States
Accountability
Population Health Management
Business
0305 other medical science
Subjects
Details
- ISSN :
- 14603659 and 03063127
- Volume :
- 49
- Database :
- OpenAIRE
- Journal :
- Social Studies of Science
- Accession number :
- edsair.doi.dedup.....a703b166ec3ae4a9870adab06a9f7cbc
- Full Text :
- https://doi.org/10.1177/0306312719840429