Visualization Resources of Community-Level Social Determinants of Health Challenge

Can you develop a visualization tool to enhance the research and analysis of community-level health services

Other Funding
  • Program Type
    Other Funding
  • Funding Award
    $220,000

Evidence has suggested that social determinants of health and community service digital data sets add important information that the Agency may use to better predict and plan for the optimal use of limited resources and ultimately improve health outcomes. AHRQ seeks tools that support visualizing such data clusters to enhance our research and analysis of community-level health services.

Visualization Resources of Community-Level Social Determinants of Health Challenge

This webinar provides an overview of the challenge purpose, timeline, prize structure, data resources, submission requirements, review criteria, and registration process, along with a participant question and answer session.

The AHRQ Visualization Resources of Community-Level Social Determinants of Health Challenge seeks tools that support visualizing such data clusters to enhance the research and analysis of community-level health services.

Challenge participants must develop visualization tools that can augment the insights drawn from the analysis of medical expenditure and health care utilization data at the community level. Tools must use publicly available and free SDOH data from at least three of the following data sources:

  • Federal databases.
  • State databases.
  • Other locally available data sources, such as SDOH data from voice, digital, and social medical requests via service lines, for example--
    • -911 emergency services.
      -311 non-emergency requests for community services.
      -211 personal referrals for community services.

    A list of these resources are provided on the AHRQ Challenge website. These tools should be constructed and presented so that AHRQ can apply them in at least two of the following areas:

  • Develop studies (data linkage, machine learning, and modeling).
  • Relate initial consumer health-seeking behavior.
  • Evaluate health status.
  • Predict needs for emergency, hospital, and community health care services.
  • Future Phases

    Check out an overview of each competition phase below - complete rules for each phase will be released as the competition progresses.

    Let’s Get Started.

    To apply or join the program, please submit an application.