A research lab, startup accelerator, and open innovation hub — connecting academic researchers, health system innovators, and technology entrepreneurs to solve the hardest problems in population health.
Developing and validating AI models for risk stratification, care gap identification, and population health intervention targeting.
Studying the effectiveness of SDOH interventions, community health worker programs, and equity-centered care models.
Analyzing the financial performance of accountable care models, bundled payment programs, and total cost of care interventions.
A lab-plus-accelerator model connects faculty researchers, doctoral students, health system partners, and technology companies around applied population health problems. The accelerator feeds the lab with real-world data and pilots; the lab feeds the accelerator with research-grade validation — and both feed the owning institution's reputation, recruitment, and partnerships.
Applications reviewed on a rolling basis.
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