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How intelligence at the health care edge saves lives

Published on 2/10/2020

Estimated read time: 1 minute

This was originally published on on January 9, 2020

Hospital care providers are using a combination of edge computing, AI, and Wi-Fi data networks to rapidly detect and treat deadly sepsis infections. When a patient contracts sepsis during a hospital stay, speed to diagnosis and treatment is critical: If the infection goes undetected, the patient could die within hours.

Now, using an algorithm, along with edge sensors, Wi-Fi data networks and artificial intelligence, hospital caregivers can more rapidly diagnose sepsis and other serious illnesses―not only saving lives but helping to detect health issues before they become life-threatening.

"The caregivers are now able to use the connected technology to take readings from all of the devices and analyze them at the speed of computers," says Rich Bird, industry marketing manager for health care and life sciences at Hewlett Packard Enterprise, which has partnered with Cerner on connecting bedside technology "to actionize data."

As Cerner's Missy Ostendorf explains, when a patient's vitals "fall outside of safe parameters, [the Cerner sepsis algorithm] automatically sends alerts to the care team so they can take immediate action. There is 80% to 90% improvement in lives saved when you can take that early intervention."

Read the full article here.