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Health Level Seven, abbreviated to HL7, is a range of global standards for the transfer of clinical and administrative health data between applications with the aim to improve patient outcomes and health system performance. The HL7 standards focus on the application layer, which is "layer 7" in the Open Systems Interconnection model.
The HL7 Consolidated Clinical Document Architecture (C-CDA) is an XML-based markup standard which provides a library of CDA formatted documents. Clinical documents using the C-CDA standards are exchanged billions of times annually in the United States.
Structured Product Labeling (SPL) is a Health Level Seven International (HL7) standard which defines the content of human prescription drug labeling in an XML format. [1] The "drug labeling" includes all published material accompanying a drug, such as the Prescribing Information which contains a great deal of detailed information about the drug.
The HL7 Services-Aware Interoperability Framework Canonical Definition (SAIF-CD) [3] provides consistency between all artifacts, and enables a standardized approach to enterprise architecture (EA) development and implementation, and a way to measure the consistency.
HL7 Sweden is the Swedish subsidiary organization representing HL7 in Sweden. HL7 Sweden started in late 2005, and today consists of about twenty members from government, organizations and businesses. HL7 Sweden is a non-profit organization open to all individuals, companies and organizations operating in Sweden. Purpose of the HL7 Sweden
Like other HL7 formats, it is XML based. The HL7 aECG standard was created in response to the Food and Drug Administration’s digital electrocardiogram initiative which was introduced November, 2001. [1] The FDA initiative required ECG waveforms and annotations submitted to the FDA to have a standard format for the data.
Studierfenster (StudierFenster) is a free, non-commercial Open Science client/server-based Medical Imaging Processing (MIP) online framework. [ 52 ] Medical open network for AI is a framework for Deep learning in healthcare imaging that is open-source available under the Apache Licence and supported by the community.
These CEN ISO/IEEE 11073 standards have been developed in close coordination with other standards development organisations, including IEEE 802, IHTSDO, IrDA, HL7, DICOM, and CLSI. Memoranda of Understanding with IHE, IHTSDO, and HL7; and (through ISO) close liaison with Continua Health Alliance assist still wider integration.