The task of translating the ginormous amounts of patient-generated health data (PGHD) from IoT-connected medical devices and sensors into actionable insights can feel pretty darn overwhelming. And it’s only going to get worse, with estimates that the IoT will include 50 billion devices — producing more than 500 zettabytes of data — by 2020.

Until now, healthcare organizations have relied primarily on cloud solutions for the real-time data analytics they seek to support clinical decision-making. But in life-or-death situations, even the few minutes cloud apps require may be too long. That’s where fog computing — also known as “edge computing” — comes in.

hn_whyyoushouldknowmore_fogcomputing_0916_302Fog computing turns devices into their own mini-analytics centers that can process data in milliseconds, offering big benefits for healthcare:

  • Instantly alerting care providers when remote patient monitors detect abnormalities
  • Connecting health data from disparate organizations through the IoT instead of traditional HIE channels
  • Taking advantage of blockchain technology to enable users to securely view and modify data

Learn more about how fog computing offers exciting potential for helping healthcare organizations fully capitalize on the IoT to improve quality of care and clinical workflow.

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