How Fibre Enabled Technology Will Transform Healthcare

As healthcare professionals face a future of supporting an aging population, they look to technology for solutions. With the availability of secure, reliable fibre optic networks, healthcare facilities can implement Big Data, Cloud Computing and the Internet of Things (IoT) technologies to deliver personalized treatment and improve the quality of patient care while reducing operational costs.  


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Fibre In Healthcare
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Big Data in healthcare analytics

Imagine information that is so large and complex that humans are incapable of analyzing it – that’s Big Data! Health care facilities have been collecting patient data long before the concept of Big Data was around. New analytics tools allow healthcare providers to leverage their data to improve care and deliver transparency to patients. 

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Cloud computing speeds healthcare research

Cloud Computing is any data storage or processing that happens off-site, typically in data centres. Cloud services enable collaboration between healthcare providers and continuity of care for patients. Cloud tools are also accelerating research.  For example, at Icahn School of Medicine at Mount Sinai data sets of more than 100 terabytes used for cancer research are being stored and analyzed in the cloud. 

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IoT connects wearables to medical records

The healthcare world has embraced the IoT, particularly wearables. Consumers already use IoT wearables like Fitbit and iHealth to track their health and physical performance. These insights can improve patient care if they are integrated with electronic medical records. 

Integration of data collected from wearables enhances the quality of care for patients with chronic illnesses.  An example of this is a 24-hour glucose monitoring system, the iPro2, that integrates with Fitbit data to improve glucose control for patients with type 2 diabetes.

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Now, more than ever, healthcare facilities can embrace technology knowing that fibre infrastructure has the speed and security needed for the mission-critical data involved in saving lives.