Abstract
Social network analysis methods offer many avenues of inquiry for studying new developments in health policy and health care delivery. The expanding availability of large linkable electronic clinical and administrative data sources allows for novel SNA applications with dependent data structures. Opportunities include the study of delivery patterns within accountable care organizations (ACOs), and other multi-provider networks, price and quality competition within new health insurance exchanges, and population health effects attributable to complex community-level interventions.
Document Type
Presentation
Publication Date
6-10-2014
Funding Information
Supported by The Robert Wood Johnson Foundation
Repository Citation
Mays, Glen P., "Learning from Networks: Care Transitions, Market Competition, & Community Interventions" (2014). Health Management and Policy Presentations. 72.
https://uknowledge.uky.edu/hsm_present/72
Included in
Health and Medical Administration Commons, Health Economics Commons, Health Services Research Commons
Notes/Citation Information
A presentation at the AcademyHealth Annual Research Meeting in San Diego, CA.