Clinical laboratory From Automation to the Internet of Things (IoT)

Abstract

Angel San Miguel Hernández, Julia San Miguel Rodríguez

Internet of things (IoT), is a network of physical objects, vehicles, machines, appliances, etc. that uses sensors and APIs to connect and exchange data over the internet. IoT relies on a comprehensive set of technologies, such as application programming interfaces (APIs) that connect devices to the internet. Other key IoT technologies are Big Data management tools, predictive analytics, artificial intelligence and machine learning, the cloud, and radio frequency identification, among many others. Cloud-based IoT platforms and architecture connect the real and virtual worlds. They help companies manage the security and connectivity of IoT devices, as well as collect device data, link devices with backend systems, ensure IoT interoperability, and build and operate IoT applications. Smart devices generate an enormous amount of IoT data that must be analyzed and harnessed in real time. Predictive analytics and Big Data appear here. Machine learning is also used to add context to data and generate actions without human intervention. The IoT related to the clinical laboratory, will revolutionize the concept of this, since it will be easier to connect with other laboratories more efficiently, with clinicians and with patients. And the latter will then be at the center of the Health System.

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