Opportunities to improve data interoperability and integration to support value-based care: lessons from stakeholder interviews
- Collection:
- Health Policy and Services Research
- Series Title(s):
- Urban Institute research report
- Author(s):
- Blavin, Fredric, author Barrie Smith, Laura, author Ramos, Christal, author Ozanich, Gary, author Horn, Alex, author
- Contributor(s):
- Health Policy Center (Urban Institute), issuing body. HealthTech Solutions, issuing body. Urban Institute, issuing body.
- Publication:
- Washington, DC : Urban Institute, July 2022
- Language(s):
- English
- Format:
- Text
- Subject(s):
- Accountable Care Organizations -- economics Data Accuracy Computer Systems Health Equity -- economics Health Policy Quality Assurance, Health Care -- organization & administration Social Mobility United States
- Genre(s):
- Technical Report
- Abstract:
- In value-based models of health care delivery, providers are financially rewarded or penalized on the basis of the quality of care they provide to patients, typically measured by patient outcomes. The specifics of value-based care models can take several forms, but in many cases—such as in accountable care organizations (ACOs)—they involve risk sharing or shared savings arrangements between multiple payer and provider organizations. To achieve the goals of value-based care, all involved organizations must be able to effectively share and integrate data from multiple sources. Using qualitative case study interviews, this report aims to inform efforts to improve data integration to support value-based care. We conducted interviews with individuals across 21 organizations selected for the prevalence of value-based care or evidence of advanced data integration. These stakeholder interviews focused on the current state of data integration, the uses of data integration in value-based care, and the barriers to and facilitators of data integration. Our approach was guided by a framework that focuses on the technical, organizational, and environmental factors affecting data integration.
- Copyright:
- Reproduced with permission of the copyright holder. Further use of the material is subject to CC BY-NC-DC license. (More information)
- Extent:
- 1 online resource (1 PDF file (iv, 34 pages))
- Illustrations:
- Illustrations
- NLM Unique ID:
- 9918471181206676 (See catalog record)
- Permanent Link:
- http://resource.nlm.nih.gov/9918471181206676