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.
ML-based clinical decision support technology is becoming more popular among healthcare provider organizations due to its ability to analyze large volumes of information, ensure that key data don’t escape the attention of the care team, and reduce alert fatigue. Unfortunately, most health systems are unprepared for how to select and deploy these new solutions. This session will discuss steps that hospitals and health systems should take to avoid mistakes and pitfalls.