San Francisco, CA
May 15-16, 2017

Big Data & Machine Learning: Hype and Hope on the Road to Healthcare's Promised Land

May 15, 2017
9:05am - 9:50am
Grand Ballroom

After decades of lagging behind other industries in the use of data, healthcare is poised for its own data-driven transformation. Journalists describe a not-too-distant future where patients, phones, Fitbits, and physicians march hand-in-hand toward a healthier tomorrow.

But not everyone is jumping for joy.

Some healthcare organizations are so frustrated with the state of health IT that the American Medical Association’s CEO James Madara, MD, last year called digital health the “snake oil of the early 21st century.” Rather than improving care and boosting professional satisfaction, many digital tools, he wrote, don’t work that well, and actually impede care, confuse patients, and waste everyone’s time.  

And then there’s machine learning. Or is it artificial intelligence? Or cognitive computing? Which is which or what is what?

In his keynote, Harvard Medical School professor Leonard D’Avolio, who previously led informatics at the VA, gets to the bottom of all this confusion and disgruntlement and examines what’s hype and what’s not. And how together, once a few very real barriers are eliminated, big data and machine learning will better serve doctors, patients and families, and contribute to improved healthcare.

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Assistant Professor
Harvard Medical School, Brigham and Women's Hospital...

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