MACHINE LEARNING & AI FOR HEALTHCARE: A HIMSS EVENT

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

Joe Kimura

Chief Medical Officer
Atrius Health

Joe Kimura, MD MPH is chief medical officer of Atrius Health and an internist at Harvard Vanguard Medical Associates, a medical practice of Atrius Health.  He has broad experience leading ambulatory care delivery system improvements with specialty expertise in clinical informatics and healthcare data analytics. He is dual board certified in both internal medicine and clinical informatics

Dr. Kimura has held multiple positions within Atrius Health, including deputy chief medical officer, medical director for analytics and reporting systems, and medical director for quality measurement. From 2008-2010, he served as a primary care clinician and physician leader in the Complete Care Program for the Orange County Service Area of the Southern California Permanente Medical Group. 

Dr. Kimura’s specialty clinical interests are in the pragmatic applications of clinical informatics in the delivery of care. 

June 14, 2019
9:35am - 10:15am
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.

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