MACHINE LEARNING & AI FOR HEALTHCARE: A HIMSS EVENT

Westin Copley Place
June 13-14, 2019 | Boston, MA

Leadership Panel: Incorporating AI into Clinical Practice

June 14, 2019
9:10am - 9:50am
America Ballroom

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.

Speakers

Ashutosh
Mani
Senior Principal Data Scientist
DataRPM, Progress
Cheong
Ang
AI Workflow Lead
University of California, San Francisco
Joe
Kimura
Chief Medical Officer
Atrius Health
Shelley
Price
Director, Thought Advisory, Technology & Innovation
HIMSS
Sujay
Kakarmath
Digital Health Scientist
Partners Healthcare Pivot Labs

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