Today people might have their blood tested once a year, she explains. They get a snapshot of certain key values and learn whether they are “in range”–that is, statistically normal–or “out of range.” But if they were tested more often, they would begin to see a “movie” of what’s going on inside them. Sudden, rapid changes in some protein concentration–even when technically still in range–could tip off the doctor that something was amiss, and do so before it was too late to address the problem. (Theranos plans soon to display results in a way that maps them against all previous results from tests it has performed for that patient.) “The movie goal is absolutely core to what we’re working to do,” she says. “When you have that trend, it is a much more meaningful clinical data set for the physician to use.” -- I resonate greatly with this given that a core focus of my invention of Action Oriented Workflow was to illuminate the otherwise invisible landscape of actions that fire off in the real world and the digital world that is ripe for capture and analysis. The invention of the Action Delta Assessment algorithm which extends AOW to enable predictive routing of actions to optimal agents then allows systems to naturally find their optimal interaction patterns and exploit them without need for formal management structures...allowing orders of magnitude improvement in efficiency of what ever workflow is being mediated. If youve not read: https://facebook/notes/david-saintloth/discovering-the-action-landscapea-journey-in-progress/10151790916618057 Do so, and share.
Posted on: Sat, 14 Jun 2014 22:34:58 +0000
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