San Francisco, CA
June 13-14, 2018

AI: A Data Scientist Explains How Deep and Shallow Learning Can Work Together to Create Cost Savings

By Mike Miliard


For all the hype and excited pronouncements about the impacts it can have driving healthcare efficiencies, artificial intelligence is still not deployed as widely (or wisely) as it could be.

But many health systems are working in earnest to roll out AI-driven analytics projects – even if their particular payoff isn't quite yet in sight – with the understanding that the technology is evolving at a dizzying pace, and big improvements could be just around the corner.

That's the case at Partners for Kids, an accountable care organization affiliated with Nationwide Children's Hospital in Columbus, Ohio. As one of the largest pediatric ACOs in the country, PFK has a big opportunity to enable big savings by bettering the health of its Medicaid patients.

Simon Lin, chief research information officer at Nationwide Children's Hospital, is excited about the potential for AI and machine learning for better population health outcomes. He's seen what they're already doing in other sectors of the economy and wants to take deep dive into their healthcare applications – a deep one, but a shallow one too.

At the HIMSS Big Data and Healthcare Analytics Forum in San Francisco on June 14, Lin will present a discussion on "The Promise of Shallow and Deep Learning in ACOs."

You've heard of deep learning, perhaps. But shallow learning – which can gain similarly useful insights from smaller data sets with less heavy lifting – is a valuable complement to it when developing predictive analytics projects, said Lin.

Read more on Healthcare IT News.

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