Session Chair Profile

M.D., Emeritus CMIO and Asst. Med Dir. Kaiser Permanente; SCAL, Faculty, Exponential Medicine at Singularity University

John has dedicated his career to improving the health of all communities through clinical practice, public policy and health information technology. He led the largest US civilian deployment of an EHR, and co-founded the XML standard for interoperability (CDA, CCDA, CCD). He has served on numerous policy committees at state, federal (FACA), and international levels. He keynotes and consults internationallyin Health IT Policyand conducts workshops on HIT innovation. He co-chairedthe eHealth Workgroup of the Global Alliance for Genomics and Health (GA4GH), and hasadvisedthe X-Prize for the Tricorder, Sensor, Cancer, ALS, and Artificial Intelligenceprizes. He has published extensively, including “Perspectives” in Nature Medicine, is co-editor of the textbook on Health IT (McGraw Hill)and written book chapters on issues as diverse as ‘Privacy and Genomics’, ‘Innovation and IOT’, and ‘Future Roles in Healthcare’. He is a vocal advocate for person-centered care and patient engagement.

Session Abstract – PMWC 2020 Silicon Valley

Session Synopsis: Data science in combination with new tools help predict which patients will benefit most from health care interventions. Session contributors are representatives from medical organizations discussing various data science applications and their approach to using data and predictive modeling to analyze and identify meaningful patterns that result in better patient outcomes.

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