Adding Artificial Intelligence to the EHR workflow



"Healthcare is becoming an information science," Google's Schmidt said, explaining that patients have an average of 5 GB of health data, most of it in images. And the combination of cloud with deep neural networks has enabled Google and other companies to advance AI by taking a set of labeled data and feeding it into neural machine learning to get a model.

"The primary progress in the next few years for machine learning will involve EHRs, quantitative observations, applying ML to genetic variant calling, and medical imaging," Schmidt said. "Can you imagine when we have sensor data plus continuous patient data? This data explosion is profound."

Yes -- and one would be hard-pressed to walk away from HIMSS18 without a spark of optimism that we now have a better understanding of what's on the road ahead to artificial intelligence and machine learning being put to practical and tangible use.

Source: Healthcare IT News (View full article)

Posted by Dan Corcoran on April 2, 2018 09:02 AM

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