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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.
The U.S. Healthcare Information Technology Standards Panel has selected the CCD as one of its standards. [citation needed] CCDs are quickly becoming one of the most ubiquitous and thorough means of transferring health data on patients as each can contain vast amounts of data based on the standard format, in a relatively easy to use and portable ...
The Minimum Data Set (MDS) is part of the U.S. federally mandated process for clinical assessment of all residents in Medicare or Medicaid certified nursing homes and non-critical access hospitals with Medicare swing bed agreements.
copies of the application are required: An archival copy, a review copy, and a field copy. An application for a new chemical entity will generally contain an application form, an index, a summary, five or six technical sections, case report tabulations of patient data, case
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.
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In NASA's engineering design life cycle, design reviews are held for technical and programmatic accountability and to authorize the release of funding to a project. [10] A design review provides an in-depth assessment by an independent team of discipline experts and managers that the design (or concept) is realistic and attainable from a ...
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. It is maintained by Observational Health Data Sciences and Informatics consortium.