The Internet of Things (IoT), artificial intelligence (AI), and machine learning (ML) are transforming clinical decision making with intelligent healthcare analytics.
These solutions relieve busy clinicians by processing real-time data from medical sensors and wearable devices to detect conditions like sepsis, skin cancer, antibiotic resistance, neurodegenerative diseases, chronic illnesses and more.
While cloud computing delivers the high performance and capacity needed to quickly process large data sets, moving huge volumes of data to the cloud is impractical in some cases. Edge computing offers a new, cost-effective solution for healthcare informatics. Instead of sending data to the cloud, processing is completed in-place where data is generated—at devices or networks in the clinic, hospital, or even directly on patient devices outside of clinical settings. As a result, care providers can diagnose and begin treating conditions faster, improving patient outcomes.
Red Hat offers security-focused edge, integration and analytics technology that can:
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