Healthcare IT News December 18, 2017
Michael Draugelis says artificial intelligence has big potential to drive analytics on varied and voluminous clinical data – but care must be taken to enable consistent and repeatable performance.
As precision medicine efforts gain speed, more and more health systems are working hard to get their arms around vast troves of fast-moving data. And they’re relying on technology – which is evolving at an equally rapid pace – to help them manage it all.
Indeed, IT shops, clinicians and data scientists are working to make sense of these myriad information types, and they’re putting systems in place – many of them driven by artificial intelligence and machine learning algorithms – to help maintain the flow of useful data to drive...
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