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Clinical data standards are used to store and communicate information related to healthcare so that its meaning is unambiguous. They are used in clinical practice, in activity analysis and finding, and in research and development. There are many existing and proposed standards and many bodies working in this field.
The Healthcare Effectiveness Data and Information Set (HEDIS) is a widely used set of performance measures in the managed care industry, developed and maintained by the National Committee for Quality Assurance (NCQA). HEDIS was designed to allow consumers to compare health plan performance to other plans and to national or regional benchmarks.
[1] [2] [3] All certified Electronic health records in the United States are required to export medical data using the C-CDA standard. [4] While the standard was developed primarily for the United States as the C-CDA incorporates references to terminologies and value set required by US regulation, it has also been used internationally.
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 CCC System was one of the standards in the first set of 55 national standards approved for use in the EHR, by the Department of Health and Human Services (AHIC, 2006) and the only national nursing terminology standard. In 2020, HCA Healthcare became the new custodian of Dr. Virginia Saba's Clinical Care Classification (CCC) System.
The Nursing Minimum Data Set (NMDS) is a classification system which allows for the standardized collection of essential nursing data. The collected data are meant to provide an accurate description of the nursing process used when providing nursing care. The NMDS allow for the analysis and comparison of nursing data across populations ...
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Data stored in dataset variables include both raw (as originally collected) and derived values (e.g., converted into standard units, or computed on the basis of multiple values, such as an average). In SDTM only the name, label, and type are listed with a set of CDISC guidelines that provide a general description for each variable used by a ...