Glossary

A sandbox allows development and testing of a software application in an isolated and controlled environment. For testing of applications such as clinical decision support, a sandbox will need to contain a sufficient amount of realistic data to mimic application functioning in the clinical system. 

Scoring is the method(s) applied to data to generate results/score. Most quality measures produce rates. However, other scoring methods include categorical value, count, continuous variable, frequency distribution, non-weighted score/composite/scale, ratio, and weighted score/composite/scales.

Semantic validation is a method of testing the validity of an electronic clinical quality measure (eCQM) or digital quality measure (dQM) whereby the developer compares the formal criteria in an eCQM/dQM to a manual computation of the eCQM/dQM from the same test database.

Sensitivity, as a statistical term, refers to the proportion of correctly identified actual positives. For example, the percentage of people with diabetes correctly identified as having diabetes. See Specificity.

Several hospital-related quality measures have an associated short name. For example, Venous Thromboembolism Prophylaxis has the associated short name VTE-1. CMS and interested parties use the short name in documentation and it is often the term preferred by measure users.

SMART-on-FHIR apps are application programming interfaces using the Substitutable Medical Applications and Reusable Technologies (SMART) platform in concert with Fast Healthcare Interoperability Resources® (FHIR®) to provide a standards-based method for authentication, authorization, and retrieval of clinical data as well as interoperable data exchange with electronic health records.

A specification is a measure's instructions addressing data elements, data sources, point of data collection, timing and frequency of data collection and reporting, specific instruments used (if appropriate), and implementation strategies.

Specificity, as a statistical term, refers to the proportion of correctly identified negatives (for example, the percentage of healthy people who are correctly identified as not having the condition). Perfect specificity would mean the measure recognizes all actual negatives. For example, recognizes all healthy people as healthy. See Sensitivity.

Users of Health Level Seven International® (HL7®) standards use a standard for trial use (STU) to provide timely compliance with regulatory or other governmental mandate and/or timely response to industry or market demand. HL7 incorporates an STU, following a suitable period for evaluation and comment, into fully balloted and accredited version of the standard. Formerly called draft standard for trial use.

A standard operating procedure is a set of fixed step-by-step instructions or steps applicable to routine operations or situations with the intent to improve efficiency, uniformity, and quality of operations.

The Submission Tool and Repository (STAR) is a measure database of quality performance measures submitted to the CMS consensus-based entity (CBE) for endorsement review. The database includes historical data for measures submitted for endorsement and maintenance to date. The CMS CBE updates the STAR database regularly as the Partnership for Quality Measurement receives submissions for endorsement review for new and maintenance measures. 

Stratification divides a population or resource services into distinct, independent groups of similar data, enabling analysis of the specific subgroups. This type of adjustment can show where disparities exist or where there is a need to expose differences in results.

A structure measure, also known as a structural measure, is a measure assessing features of a health care organization or clinician relevant to its capacity to provide health care.

A subject matter expert is an individual with specialized expertise in a specific area or field.

Synthea™ is an open-source, synthetic patient generator that models the medical history of synthetic patients. It provides realistic, but not real, patient data and associated health records covering every aspect of health care. The resulting data is free from cost, privacy, and security restrictions, enabling research with health information technology data that is otherwise legally or practically unavailable.

Browse and download pre-generated synthetic records.