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Joel Dudley

Showing 1–2 of 2 transcripts.

  1. Milken Institute56 min

    Health-care Disruptors: New Models Changing the Landscape

    Casey Ross, Ray Dorsey, Joel Dudley, Andrea Feinberg, Dan Liljenquist

    A multidisciplinary panel led by Dr. Ray Dorsey, Dan Liljenquist, Dr. Andrea Feinberg, and Dr. Joel Dudley addressed critical healthcare failures, highlighting how telemedicine, generic drug shortages, nutritional interventions, and data fragmentation impact patient outcomes and system efficiency. The speakers detailed successful pilot programs, including University of Rochester's home-based Parkinson's care, CivicaRx's nonprofit generic manufacturing model, Geisinger's Fresh Food Pharmacy, and Mount Sinai's data-driven precision health initiatives, all of which demonstrated significant reductions in costs and mortality. Despite these proven efficacy metrics, the discussion underscored that widespread scalability remains constrained by rigid Medicare reimbursement policies, regulatory limits on social determinants of care, and fragmented data infrastructure that prevents algorithmic integration.

  2. Milken Institute1h 4m

    Big Data for Better Cures: Where to Invest?

    Cecilia Arradaza, Marty Cohn, Joel Dudley, Magali Haas, Risa Sack, Andy von Eschenbach, Harlan Weissman, Garrett, Mary Dwight

    Leading healthcare experts including Marty Cohn, Joel Dudley, and Andy von Eschenbach converged to identify that while big data offers potential to reduce waste and personalize care, its adoption is currently stifled by incentive misalignment, fragmented data silos, and a regulatory framework built on pre-market rather than post-market surveillance. The panel consensus highlighted that shifting from fee-for-service to value-based care and establishing a "model of the normal" human are critical prerequisites for unlocking predictive analytics in chronic disease and neurology. To advance these goals, the speakers urged the creation of broad consent models, common data standards for cross-organizational sharing, and new reimbursement structures that specifically reward data utility over collection.