Overcoming the Top 3 Healthcare Edge Computing Challenges
Use-case definition, a lack of expertise, and data management concerns are key challenges for organizations approaching healthcare edge computing.
I really hope you’re not sick of this word yet, because it’s not going anywhere. Edge computing is certainly here to stay as we see greater distribution of IT systems and more connected devices.
At a very high level, edge allows us to process data much close to the source than other solutions out there. This is a big reason why data center and cloud operators are actively investing in and designing consumable edge solutions.
“Organizations that have embarked on a digital business journey have realized that a more decentralized approach is required to address digital business infrastructure requirements,” says Santhosh Rao, principal research analyst at Gartner. “As the volume and velocity of data increases, so too does the inefficiency of streaming all this information to a cloud or data center for processing.”
Remember, your own edge design can take many forms. They can be mobile devices designed for healthcare or they can be static — like a connected smart system for healthcare building management.
“A wearable health monitor is an example of a basic edge solution. It can locally analyze data like heart rate or sleep patterns and provide recommendations without a frequent need to connect to the cloud,” says Rao.
How the industry is responding to edge solutions
Already you’re seeing both data center and cloud providers deploy even more edge solutions. For example, earlier this year, Compass Datacenters acquired two companies (EdgePoint Systems and BitBox USA) that make them the first and only provider in the data center industry that can deliver dedicated mission critical facilities from the core to the edge-all with a common management and service platform.
With this kind of acquisition, this data center provider can now deliver, install, monitors and maintain fully-integrated edge data centers anywhere they are required, Plus, there’s a pioneering facility management platform that’s included which is specifically tailored for the edge.
Major cloud providers are in the mix here as well. For example, Azure has its IoT Edge ecosystem, which is designed to containerize cloud workloads and run them locally on devices from a Raspberry Pi to an industrial gateway using Azure IoT Edge. From there administrators can manage edge applications and devices with Azure IoT Hub, scaled to support your solutions running in the cloud or in private environments like Azure Stack.