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Edge computing is a distributed computing model that brings computation and data storage closer to the sources of data. More broadly, it refers to any design that pushes computation physically closer to a user, so as to reduce the latency compared to when an application runs on a centralized data centre .
Key components of eHealth include electronic health records (EHRs), telemedicine, health information exchange, mobile health applications, wearable devices, and online health information. For example, diabetes monitoring apps allow patients to track health metrics in real time, bridging the gap between home and clinical care. [ 2 ]
Multi-access edge computing (MEC), formerly mobile edge computing, is an ETSI-defined [1] network architecture concept that enables cloud computing capabilities and an IT service environment at the edge of the cellular network [2] [3] and, more in general at the edge of any network. The basic idea behind MEC is that by running applications and ...
The OpenFog Consortium was an association of major tech companies aimed at standardizing and promoting fog computing.. Fog computing [1] [2] or fog networking, also known as fogging, [3] [4] is an architecture that uses edge devices to carry out a substantial amount of computation (edge computing), storage, and communication locally and routed over the Internet backbone.
Health information technology (HIT) is "the application of information processing involving both computer hardware and software that deals with the storage, retrieval, sharing, and use of health care information, health data, and knowledge for communication and decision making". [8]
The terms EHR, electronic patient record (EPR) and electronic medical record (EMR) have often been used interchangeably, but "subtle" differences exist. [6] The electronic health record (EHR) is a more longitudinal collection of the electronic health information of individual patients or populations.
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