MACHINE LEARNING & AI FOR HEALTHCARE: A HIMSS EVENT
Boston, MA, June 13-14, 2019
As director of Payer and Life Sciences in the Thought Leadership Team in the Office of the Chief Technology and Innovations Officer at HIMSS, Shelley Price leads the organization's efforts around payer, life sciences, and data and analytics – including population health, secondary use of data, and clinical & business intelligence (C&BI) – as a subject matter expert and organizer for the C&BI Committee, task forces and community of over 8,600 members. In these roles, she works with HIMSS volunteers, industry leaders, and other subject matter experts to develop thought leadership, content, educational sessions, policy recommendations, and other resources and tools to turn data in to action and deliver on the triple-aim of value-based healthcare. She is also a national speaker on data and analytics, precision medicine, population health, life sciences, and driving to a value-based health system through new care delivery and payment models.
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.