MACHINE LEARNING & AI FOR HEALTHCARE: A HIMSS EVENT
Boston, MA, June 13-14, 2019
Tom Sullivan writes the Innovation Pulse column for Healthcare IT News, and drives coverage of the HIT, people, policies and technologies underpinning the next generation of healthcare in America, from large health networks all the way down to solo practitioners and, of course, the most important aspect: patients.
Prior to HIMSS Media, Tom was News Editor of IDG's InfoWorld, directing a dozen reporters' coverage for the weekly print publication and daily website. He is a Neal finalist and multiple ASBPE award-winner whose work has appeared on CNN, The New York Times, The Washington Post, Healthcare IT News, Healthcare Finance News, and a range of technology publications, including Computerworld and PCWorld.
This session kicks of a two-day journey for attendees from analytic basics to advanced uses of machine learning and AI, with multiple stops for lessons learned and best practices along the way.
Artificial intelligence and machine learning gather a lot of attention these days, and with good reason. Improved diagnosis, processing radiology images, precision medicine, and workflow efficiencies to reduce clinician burnout are just some of the areas either being impacted by AI/ML or will be in the near future. But as our speakers will discuss, a healthcare organization will not derive value from AI and ML unless it has achieved a level of capability with managing data and analytics.
In this session, attendees will learn how to set up analytics to prepare for AI and ML, how to embed AI in analytics, and better grasp that no matter how much ML and AI can help us predict the future, it can’t be done without first looking in the rearview mirror.