MACHINE LEARNING & AI FOR HEALTHCARE: A HIMSS EVENT
Boston, MA, June 13-14, 2019
Dr. Showalter brings visionary thought leadership on the application of advanced information technology to improving outcomes for patients. His unique education in biomedical engineering, physiology, clinical informatics and internal medicine has allowed him to work at the intersection of those fields to positively impact patient care and health system efficiency. His work has been recognized with cross-industry awards including ComputerWorld's Premiere 100 IT Leaders and health IT awards such as the CHIME Collaboration Award. Dr. Showalter is dedicated to using his passion and knowledge to ensure that Jvion's machine has the maximum positive impact for patients.
This session kicks off 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.