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How big data analytics helps hospitals stop a killer

Thor Olavsrud | July 20, 2015
Wireless biosensors and big data analytics can help hospitals identify patients showing signs of sepsis, the leading cause of death in noncoronary intensive care units in the U.S. They can even keep monitoring patients who have been discharged.

Sixteen other states have followed New York and adopted similar measures.

"Every country has this problem," Mulligan says. "They're doing the same thing."

For instance, she notes that Singapore has undertaken a five-year project to digitize the whole city. As part of the project, every patient who leaves a noncoronary ICU will get a HealthPatch to monitor their condition.

"This ground-breaking solution enables hospital and clinic caregivers to make fast, real-time data-driven decisions that have an immediate impact on patient care and diagnosis, while reducing healthcare expenditures," Mulligan says. "The solution exemplifies the speed, scale and power of next-generation analysis to serve up critical information in real-time and confirms that unprecedented innovation in healthcare is well within reach."


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