{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/69d9381eaf4db69e0df8e553/6a273170a917ce4c701f2679?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Can AI Break the “Measurement Paradigm?”","description":"<p>How do we know if AI use in health care actually makes patients better? Chip talks with Dr. David Bates — a veteran physician leader at Mass General Brigham and the Brigham and Women's Hospital and Co-director of the Center for Artificial Intelligence and Bioinformatics Learning Systems — about measuring patient outcomes reliably and in real time to create a strong foundation for everything else in health care administration — clinical deployment, payment reform, consumer transparency, and accountability. David has spent his career at the center of this challenge and his research helped inform <em>To Err Is Human: Building a Safer Health System,</em> the landmark 1999 report by the U.S. Institute of Medicine that revealed the high frequency of preventable medical errors in health care.</p>","author_name":"KFF"}