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Microsoft Amalga Unified Intelligence System (formerly known as Azyxxi) was a unified health enterprise platform designed to retrieve and display patient information from many sources, including scanned documents, electrocardiograms, X-rays, MRI scans and other medical imaging procedures, lab results, dictated reports of surgery, as well as patient demographics and contact information.
A common data model (CDM) can refer to any standardised data model which allows for data and information exchange between different applications and data sources.Common data models aim to standardise logical infrastructure so that related applications can "operate on and share the same data", [1] and can be seen as a way to "organize data from many sources that are in different formats into a ...
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.
A HealthVault record stored an individual's health information. Access to a record was through a HealthVault account, which may have been authorized to access records for multiple individuals, e.g., so that a parent could manage records for their children, or a child could access their parent's records to help the parent deal with medical issues.
The HL7 RIM, vocabulary specifications, and model-driven process of analysis and design combine to make HL7 Version 3 one methodology for the development of consensus-based standards for healthcare information systems interoperability. The HDF is the most current edition of the HL7 V3 development methodology.
Sentinel Common Data Model: Initially started as Mini-Sentinel in 2008. Use by the Sentinel Initiative of the USA's Food and Drug Administration . OMOP Common Data Model : model that defines how electronic health record data, medical billing data or other healthcare data from multiple institutions can be harmonized and queried in unified way.
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Some of the problems tackled by CRI are: creation of data warehouses of health care data that can be used for research, support of data collection in clinical trials by the use of electronic data capture systems, streamlining ethical approvals and renewals (in US the responsible entity is the local institutional review board), maintenance of ...