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Accounting for accountable care: Value-based population health management
1Department of Medical History & Bioethics, University of Wisconsin-Madison, Madison, WI, USA.
Social Studies of Science
|May 25, 2019
Summary
Accountable Care Organizations (ACOs) use big data analytics for population health management. This approach reshapes accountability and care by creating new metrics and sorting methods for patients.
Area of Science:
- Health Services Research
- Science and Technology Studies (STS)
Background:
- Accountable Care Organizations (ACOs) represent a shift to value-based care in the US.
- ACOs incentivize healthcare providers based on patient health outcomes, quality, and cost-efficiency.
Purpose of the Study:
- To analyze the sociotechnical systems involved in population health management within ACOs.
- To examine how data collection, new metrics, and individual sorting reshape accountability and care.
Main Methods:
- Utilized a Science and Technology Studies (STS) framework.
- Analyzed data-intensive sourcing and big data analytics practices within ACOs.
Main Results:
- ACOs employ data analytics to categorize and tailor interventions for patient populations.
- The implementation of accountability technologies generates new forms of knowledge.
- Concepts of accountability and care are redefined through these data-driven practices.
Conclusions:
- Accountability technologies in ACOs transform healthcare delivery and patient management.
- The process of 'account-giving' becomes a procedural verification as much as an accounting for health outcomes.
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