![]() And it could deliver on-demand content for augmented reality and virtual reality training sessions, with the proximity of the edge computing devices ensuring there’s no lag in the experience. It could enable real-time management of medical equipment as the various pieces move through hospital facilities. He sees edge computing as a critical enabling technology in multiple healthcare scenarios.Įdge could support advanced remote-patient monitoring by processing data from medical devices such as glucose monitors and blood pressure cuffs and then alerting clinicians to problematic readings. “Edge is in the early phases of application in healthcare, but it’s something we’re looking at,” Henderson says. John Henderson, CIO, Children's Health of Orange County It’s this proximity of computing and storage capabilities that many health IT experts predict will help transform healthcare by delivering near-instantaneous processing. In healthcare, the technique allows data collected by sensors and other medical devices to be analyzed where patients are. In some cases the initial processing is performed on the end devices themselves, but either way, the initial data processing and analysis happens close to where the data is collected, rather than at a distant cloud server or corporate data center. In a typical edge computing setup, an edge server or gateway located at the edge of the network stores and processes the data collected by end devices such as sensors, cameras, or smartphones, and often sends some or all data to the cloud for additional processing. It’s generally defined as a distributed computing paradigm that puts computation and data storage physically close to where the data is generated and used. Edge computing: 5 potential pitfalls (Network World)Įdge computing is increasingly seen as a critical component in the data ecosystem created by connected devices.How to choose a cloud IoT platform (InfoWorld).Securing the edge: 4 trends to watch (CSO).The cutting edge of healthcare: How edge computing will transform medicine (Computerworld). ![]() Edge computing, with its ability to deliver real-time analysis of large files, would be a key component to making that work, he says. The goal: to create a repository of images to analyze for insights that could train algorithms capable of aiding clinicians with diagnoses.Īlthough the initiative is in its early stages, CHOC vice president and CIO John Henderson is already thinking about the technologies his organization would need to enable such an intelligent system. Children’s Health of Orange County, a California-based pediatric healthcare system, is working with other medical institutions to gather clinical images - MRIs, echocardiograms, and the like.
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