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The Fast Healthcare Interoperability Resources (FHIR, / f aɪər /, like fire) standard is a set of rules and specifications for the secure exchange of electronic health care data. It is designed to be flexible and adaptable, so that it can be used in a wide range of settings and with different health care information systems.
It leverages a modern web-based suite of API technology, including a HTTP-based RESTful protocol, HTML and Cascading Style Sheets for user interface integration, a choice of JSON or XML for data representation, OAuth for authorization and Atom for query results. [13]
Galaxy is a web platform for data-intensive biology using geographically-distributed supercomputers. [55] LabKey Server is an extensible platform for integrating, analyzing and sharing all types of biomedical research data. It provides secure, web-based access to research data and includes a customizable data processing pipeline.
Epic has several data resources and analytic tools. Cogito is the analytic environment consisting of the Epic data warehouse and analytic capabilities. The different levels of the database architecture are Chronicles, Clarity and Caboodle. [21] Chronicles is Epic's real-time database; the data the user enters is immediately available in ...
MUMPS-based information systems, such as Epic Systems', provide health information services for over 78% of patients across the U.S. [1] A unique feature of the MUMPS technology is its integrated database language , allowing direct, high-speed read-write access to permanent disk storage.
InterSystems IRIS for Health, a data platform that supports healthcare messaging protocols such as FHIR, HL7, and IHE. [15] HealthShare, a healthcare informatics platform that supports the creation of and secure access to unified care records. [16] TrakCare, a web-based healthcare information system, available outside the U.S. [17]
Interoperability between disparate clinical information systems requires common data standards or mapping of every transaction. However common data standards alone will not provide interoperability, and the other requirements are identified in "How Standards will Support Interoperability" from the Faculty of Clinical Informatics [2] and "Interoperability is more than technology: The role of ...
A central part of the openEHR specifications is the set of information models, known in openEHR as 'reference models'. [6] The models constitute the base information models for openEHR systems, and define the invariant semantics of the Electronic Health Record (EHR), EHR Extract, and Demographics model, as well as supporting data types, data structures, identifiers and useful design patterns.
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