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Nightscout is a collection of software tools, including mobile clients, to enable DIY cloud-based continuous glucose monitoring "…for informational and educational purposes." [ 31 ] Individual components are available under various open-source licenses, including the GNU GPL , [ 32 ] GNU AGPL , [ 33 ] MIT License , [ 34 ] and BSD licenses .
The DHIS2 data model and platform are generic by design, not specifically tailored to the health context, to facilitate the application of DHIS2 to a variety of use cases. DHIS2 is a web-based platform. The core software and database are hosted on a server, which can be either physically located in the country of ownership or cloud-based.
The health information systems literature has seen the EHR as a container holding information about the patient, and a tool for aggregating clinical data for secondary uses (billing, audit, etc.). However, other research traditions see the EHR as a contextualised artifact within a socio-technical system.
Cloud computing is widely expected to revolutionize health care in the United States over the next decade. Better EHR (electronic health record) software, a relaxation of BYOD (bring your own ...
eHealth literacy is defined as "the ability to seek, find, understand and appraise health information from electronic sources and apply knowledge gained to addressing or solving a health problem." [19] This concept encompasses six types of literacy: traditional (literacy and numeracy), information, media, health, computer, and scientific. Of ...
To provide the safe and effective delivery of medical care, virtually all clinical staff use a number of front-line health informatics tools in their day-to-day operations. The need for standardization and refined development of these tools is underscored by the HITECH Act and other efforts to develop electronic medical records .
Within the mHealth space, projects operate with a variety of objectives, including increased access to healthcare and health-related information (particularly for hard-to-reach populations); improved ability to diagnose and track diseases; timelier, more actionable public health information; and expanded access to ongoing medical education and ...
The evaluation benchmark for a CDSS depends on the system's goal: for example, a diagnostic decision support system may be rated based upon the consistency and accuracy of its classification of disease (as compared to physicians or other decision support systems). An evidence-based medicine system might be rated based upon a high incidence of ...
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