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Validity subcriterion (Scientific Acceptability of measure properties subcriterion)

The validity subcriterion tests whether measure specifications are consistent with the measure intent and captures the most inclusive target population. There are two main types of validity, measure validity and data element validity. Measure validity is when the measure accurately represents the evaluated concept and achieves the intended purpose (to measure quality). Data element validity is the extent to which the data element or code represent the information. National Quality Forum. (2021). Measure evaluation criteria and guidance for evaluating measures for endorsement
See measure validity and data element validity.

Value set

A value set is a list of specific values, terms, and their codes, used to describe clinical and administrative concepts in the quality measures. Value sets provide groupings of unique values along with a standard description or definition from one or more standard vocabularies used to describe the same clinical concept, e.g., diabetes, clinical visit, demographics, within quality measures. Examples of standard vocabularies used to support effective, interoperable health information exchange include SNOMED CT, RxNORM, and Logical Observation Identifiers Names and Codes.

Virtual Medical Record

The Virtual Medical Record (is a data model for representing the data analyzed and/or produced by clinical decision support engines.