Predictive Medical Technologies has acquire a system that can mine the aesculapian datum of a patient — science laboratory reports , monitors , nanny notes , etc.—and predict whether that patient role will suffer from cardiac arrest or respiratory failure within 24 hours .
It ’s a system that can be integrated into infirmary that are “ at a sure technical floor ” without any novel ironware , sampling or extra time . That technological storey is rare though , with only 100 US hospital properly equipped . Bryan Hughes , CEO of Predictive Medical Technologies , explains how it works :
Without giving away too much of our hole-and-corner sauce , we use non - hypothesis machine learning techniques , which have proven very bright so far . This approach allows us to egest any human “ expert ” bias from the model .
The current model has been tested and shew retrospectively ( looking at old data and determine outcome ) and can be used to omen cardiac stoppage and respiratory failure . The next variant should be able to find sepsis , nephritic loser and re - cannulation jeopardy , as well . PMT is going to start a substantiation run to see how well it works in real times but a formal FDA tribulation is still a class away .
This fathom deliciously futurist ( even though it ’s just plain math ) and puts us one step closer to the precogs of Minority Report . Well , sorta . [ Predictive Medical TechnologiesviaForbes ]
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