In this episode of the University of Pittsburgh’s Health and Explainable AI (HexAI) Podcast, host Jordan Gass-Pooré speaks with James Grana, Vice President of Value-Based Care Programs, Innovations, and Contracting with BlueCross BlueShield of South Carolina, and his colleague Andrew Fogner, Epidemiologist and Manager of Data Science and Strategic Analytics. Exploring a new vantage point for the podcast, the conversation examines the integration of artificial intelligence and advanced analytics into healthcare from the perspective of health insurance providers. James and Andrew reflect on the unique position that payers occupy within the healthcare ecosystem, highlighting how health insurance providers leverage longitudinal, population-level data across multiple health systems and care settings to evaluate total cost of care, patient outcomes, and health equity.
Bridging operational data science with clinical decision support, the discussion outlines the distinct roles of predictive models in risk stratification and generative AI in accelerating administrative workflows, documentation and care management outreach. The guests address the growing "arms race" between payers and providers regarding AI adoption for coding, approvals and contract review, while emphasizing the imperative of maintaining "humans in the loop" to mitigate hallucination risks and ensure trust. Crucially, the dialogue connects explainable AI directly to value-based care, illustrating how transparent and interpretable models build clinician confidence, support proactive population health interventions and ensure AI tools drive meaningful health improvements rather than fee-for-service volume.
Aligning with the mission of Pitt’s HexAI Research Laboratory, James and Andrew offer insights for students and computational researchers on addressing sparse data, establishing AI governance frameworks and evaluating real-world model impact. Reflecting core priorities of Pitt's Computational Pathology and AI Center of Excellence (CPACE), the discussion illustrates how explainable machine learning and sensor-driven molecular profiling advance the frontiers of computational pathology and precision diagnostics. They close the episode by inviting academic research labs to partner with payers in establishing independent model evaluations, acting as a trusted "Consumer Reports for AI” and developing an ethical moral compass to prevent fraud, waste, and abuse in AI-powered healthcare.
Host: Jordan Gass-Pooré | Producer: Brent Phillips | Guests: James Grana (VP of Value-Based Care Programs, Innovations & Contracting, Blue Cross Blue Shield) & Andrew Fogner (Epidemiologist & Manager of Data Science & Strategic Analytics, Blue Cross Blue Shield)
Topics: Health Insurance Analytics | Value-Based Care | Explainable AI (XAI) | Population Health Management | AI Governance & Ethics | Predictive vs. Generative AI
Institutions: University of Pittsburgh | Blue Cross Blue Shield of South Carolina
Links:
[YouTube] https://www.youtube.com/watch?v=etPqZQw977E
[Pitt HexAI Lab] https://hexai.pitt.edu
