MACHINE LEARNING & AI FOR HEALTHCARE: A HIMSS EVENT

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

Ashutosh Mani

Senior Principal Data Scientist
DataRPM, Progress

Dr. Ashutosh (Ashu) Mani serves as a Senior Principal Data Scientist leading the data science and machine learning efforts at DataRPM, Progress.  Prior to joining the Progress team, Dr. Mani worked at Boeing as Applied Mathematician working on projects related to machine learning, statistics and artificial intelligence.  Dr. Mani’s experience in the field of health care include working at Bristol-Myers Squibb as a data science/statistics consultant; his doctoral research at University of Cincinnati, Ohio, where he developed algorithms to predict falls in neuro-degenerative disease patients (such as Parkinson’s Disease); and his work with firefighters in detecting and predicting physiological responses to heat stress.

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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