Edge Cloud-Native Services Changing The Face of Healthcare
Migration to Cloud is the primary aspect in today’s world of digital transformation. The pandemic has forced almost all businesses to adopt this change. Even the healthcare industry, which usually comes across as rigid while talking about the ability to adapt, underwent the transformation. However, experts say that migration is not always recommendable, as it cannot serve as an all-rounder solution in businesses. This is true for sectors that have a lot of regulations and data in the form of PII and PHI. Especially, the healthcare industry has a lot of challenges to face while undergoing a shift to Cloud. Some of the prominent challenges are compliance with the state regulations, organizing the data so that it is accessible, and latency. A hybrid Cloud solution by WWT along with Microsoft’s Azure Stack Edge Pro aims to solve these issues and make Cloud an efficient solution for the healthcare industry.
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Hybrid Cloud And Edge Computing
Hybrid Cloud introduces a new infrastructure that is more accessible and methodical. When this hybrid cloud blends with edge computing, users get local access to all the data available on the cloud. You experience quick actionable data insights and save a lot on resources. With the AI-enabled Edge computing of Azure Stack Edge Pro, healthcare companies are assured better privacy, data security, flexible storage according to the need, and abilities to derive hidden insights from the given dataset. Intel CPU and FPGA eases the on-premises Cloud-native Azure services, with a hardware-as-a-service model.
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Remote Patient Monitoring
Heart failure is the topmost reason for deaths in the US according to a well-known practitioner. Moreover, Cardiovascular disease is one of the most expensive health conditions. Such and many other conditions can be remotely monitored in a patient. Healthcare industries would save on time and reduce risks if the patients do not have to visit ER every time they have such an emergency.
Requirements And Solutions
The solution by WWT had certain requirements such as on-demand analytics, Fast Healthcare Interoperability Resources (FHIR), and multiple data sources. The use of ML, cloud storage, and edge compute goes unsaid while developing the solution. The Azure-powered solution provides proactive care (aimed to avoid any mishaps altogether with the help of patient tracking). As mentioned before, the solution would also speed up the diagnosis via remote health monitoring. Obtaining information from various sources and deriving insights from them would also help in efficient automation in the healthcare industry.
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