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Regulations and Funding to Create Enterprise Architecture for a Nationwide Health Data Ecosystem
Gabriel Seidman1, Ahmad AlKasir1, Kate Ricker1
1Gabriel Seidman and Ahmad AlKasir are with the Ellison Institute of Technology, Los Angeles, CA. Kate Ricker is with Amelia Mayme Consulting, Denver, CO. J. T. Lane is with the Association of State and Territorial Health Officials (ASTHO), Arlington, VA. Anne Zink is with the Alaska Department of Health, Anchorage, and ASTHO. Michelle Williams is with Harvard T. H. Chan School of Public Health, Boston, MA.
The US lacks a national health data infrastructure. This paper proposes federal guidance and incentives to create state-designated entities for integrated health data collection and analysis.
Area of Science:
- Public Health
- Health Informatics
- Health Policy
Background:
- The COVID-19 pandemic exposed critical gaps in the United States' national health data infrastructure, particularly for secondary data uses like population health management.
- Existing federal initiatives, such as the CDC's Data Modernization Initiative and ONC's Trusted Exchange Framework, aim to improve the health data ecosystem.
- Significant barriers, including regulatory inconsistencies, fragmented infrastructure, and insufficient funding, hinder effective health data exchange and integration across federal and state levels.
Purpose of the Study:
- To propose strategies for developing a nationwide health data ecosystem capable of integrating diverse data sources.
- To address the limitations in collecting, sharing, and utilizing health data for public health and secondary purposes.
- To outline recommendations for federal guidance and incentives to foster state-level data management entities.
Main Methods:
- An analytic essay approach was used to review existing challenges and propose solutions.
- Focused on strategies involving federal guidance and incentives for state-designated entities.
- Recommendations include a regulatory clearinghouse, model legislation, funding for enterprise architecture, and regulatory sandboxes.
Main Results:
- Identified inconsistent regulations, infrastructure, and governance as major impediments to health data exchange.
- Highlighted the need for integrating clinical, public health, and social determinants of health data.
- Proposed the establishment of state-designated entities to manage comprehensive health data.
Conclusions:
- Developing a nationwide health data ecosystem requires federal leadership, consistent guidance, and financial incentives.
- State-designated entities are crucial for collecting, integrating, and analyzing diverse health-related data.
- Addressing infrastructure and regulatory barriers is essential for improving population health management and public health surveillance.
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