Harnessing Data to Advance Health Outcomes

The health IT landscape dramatically changed in the wake of the COVID-19 pandemic and brought renewed attention to broad and longstanding challenges in the U.S. health care and public health systems. As a result, health care stakeholders began to think boldly about their shared health IT goals. Foundational health IT policies – such as data access, data standardization, interoperability, and privacy and security – are needed to successfully advance our collective health IT goals.

Recommendations

Health Equity

  • Enable the collection of standardized Race, Ethnicity, Language (REL) data across programs by supporting ongoing development and wide adoption of industry standards. 
  • Enable collection of standardized social needs data as appropriate by supporting ongoing development of industry standards. 
  • Ensure industry, government, and communities work together to develop and incentivize adoption of common industry standards.
  • Develop industry standards/best practices to ensure privacy is protected and appropriate use of data. 
  • Partner with trusted entities, such as community-based organizations, to collaborate in screening and collection of information. 
  • Leverage REL and social needs data to inform where gaps exist, to help in directing resources and in ensuring additional assistance

Public Health

  • Appropriate and ensure sustained funding to support a robust public health infrastructure, which includes interoperable systems and workforce capacity.
  • Increase data sharing between public health and health care organizations to support identification of public health threats and to help direct responses.
  • Establish and maintain multisector collaboration between public, private, and nonprofit organizations to address vaccine hesitancy and to provide targeted outreach to communities. 
  • Leverage community-based organizations to help supplement public health and health care systems in their public health responses.