Approach
How We Work
A Human-Centered AI Framework
Our institute transforms maternal and child health by turning data into action through a patient-centered approach that combines human expertise and experience with AI-guided analytics to facilitate decision-making and improve both care processes and patient outcomes.
Human-in-the-loop AI Approach
Human decision makers — patients and providers — are integrated at all stages of care delivery, providing oversight, making critical decisions, and offering feedback to continuously improve the AI system. This ensures ethical, accurate, safe, fair, and accountable AI-driven decision making.
We pursue advances in key clinical outcomes including hypertensive management, development of sepsis, and preterm birth, drawing on multimodal clinical data, claims, and matched data with social services.
Who We Are
A Broad Coalition for Change
THEIA brings researchers, clinicians, policymakers and industry leaders together with people with lived experience and their families and support systems.
Researchers & Clinicians
18 academic and medical professionals at U-M and Mount Sinai Health System
Patient Community Board
8 PCAB representatives and 3 community groups co-designing research priorities
Industry & Policy
2 Professional Organizations, 2 Managed Medicaid Plans, and 5 Industry Representatives
4 Participating Units
College of Engineering · Michigan Medicine · College of Literature, Arts & Sciences · School of Public Health