MACHINE LEARNING & AI FOR HEALTHCARE: A HIMSS EVENT
Boston, MA, June 13-14, 2019
Improving the joy of practice for clinicians is a top priority for all health systems, and machine learning and AI promise to do that, while also personalizing care and improving outcomes. All well and good, but implementing these technologies into clinician workflows is easier said than done.
In this session, speakers identify the considerations and challenges to implementing AI and ML into clinical decision-making. How do we balance the need to provide enough information to point-of-care decision making without overwhelming the physician with too much information to review? How do we measure the validity of algorithms and their impact on decision-making? How do we train physicians to understand how to leverage AI to enable decision-making?
Speakers will address these and other questions and, importantly, they'll make clear that to optimize success, AI and machine learning must add value to clinical workflows and reduce the time physicians spend searching for relevant information to a patient’s care.