Health Management Technology January 25, 2018
David Bennett

The adoption of precision health—the process, according to Stanford Medicine,1 of “tapping health data to provide targeted, predictive and personalized care”—will call for the entire industry to be much more proactive in its care models and adopt real-time technologies that don’t require truck-loading data sets to different workflow engines, patient tools, or provider tools.

From clinical data to genomic data, to pharmacy data, to claims data to device data created by wearables,2 we’re already seeing data sets appearing everywhere. In the coming years, we’re going to see device manufacturers create all kinds of highly specialized gadgetry that generates heaps of data, from sensors that note changes in glucose levels and dispense insulin like an actual pancreas, to facial masks that...

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