$3M awarded to AIM-AHEAD Consortium Development Program researchers

Posted November 11, 2024
Awardees and program leadership from the AIM-AHEAD Consortium Development Program - Innovation for Equity in Low-Resource Settings celebrate the start of a new year of research

The AIM-AHEAD Consortium Development Program - Innovation for Equity in Low-Resource Settings, funded by the National Institutes of Health (NIH) and led by OCHIN, recently awarded six research projects roughly $500,000 each to catalyze multidisciplinary efforts impacting a range of underrepresented populations. These projects, listed below, call on researchers to plan and pilot artificial intelligence/machine learning (AI/ML) algorithms or tools to address health disparities and minority health in cancer, cardiometabolic, and mental/behavioral health.

The Innovation for Equity program answers the challenge that medically underserved areas are not benefiting from advances in AI/ML at the same pace as higher-resource settings, and many AI/ML models are not informed by the data, needs, and perspectives of communities impacted by health disparities.

The program requires awardees to co-design and pilot the AI/ML tools with healthcare organization partners serving patients in Federally Qualified Health Centers or Community Health Centers from Medically Underserved Areas and/or serving a disproportionately high percentage of health disparity populations.

NIH-funded awardees, projects, and regions are below:

  • Debi Alexander, JD; SPARC (Washington, DC); AI-empowered Art Therapy Innovation for Health Equity in Low-resource Settings
  • John (Jack) LeBien, M.Sc.; Abartys Health (Puerto Rico); Big Data and Predictive Analytics for Mitigating Chronic Disease in FQHC Patients
  • Winston Liaw, MD, MPH; University of Houston (Texas); Health Behavior Counseling Using Multi-Modal Large Language Models in Pursuit of Health Equity for Minoritized Populations
  • Yui Nishiike, NP; Community Health Center Network* (California); Social Health Equity in Community Health with AI Risk Stratification (SHE CHAIRS)
  • Timothy Thomas, MD; Alaska Native Tribal Health Consortium (Alaska); Consortium for Alaska Native Artificial Intelligence Development (CANAID)
  • Yi Zhu, PhD; Hawaii Pacific University (Hawaii); Integrative Analysis of Risk Prediction and Outcome Modeling in Lung Cancer

*OCHIN member

OCHIN, a nonprofit healthcare innovation center with a core mission to advance health equity, operates a comprehensive database on primary healthcare and outcomes of traditionally underserved patients in the United States.

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