Glossary of eCQI Terms
Measure alignment includes using the same quality measures and value sets across settings and within multiple programs when possible. Alignment is achieved when a set of measures works well across settings or programs to produce meaningful information without creating extra work for those responsible for the measurement.
Bonnie is a software tool for testing electronic clinical quality measures (eCQMs). This tool is designed for use by measure developers as part of their development process and validates that the eCQM logic matches the measure’s intent. Bonnie uses patient scenarios to represent each logic component of the measure specification such as the initial patient population (IPP), denominator, numerator, exclusions, etc. Health information technology developers and implementers may also use the tool to evaluate measure implementation into their systems. Measure developers use both Bonnie and Measure Authoring Tool in concert to promote test driven development.
Health information technology functionality that builds upon the foundation of an electronic health record (EHR) to provide persons involved in care processes with general and person-specific information, intelligently filtered and organized, at appropriate times, to enhance health and health care.
Standards and Interoperability (S & I) Framework collaborative community from public and private sectors who are focused on providing tools, services and guidance to facilitate the harmonization of clinical decision support (CDS) and electronic clinical quality measures (eCQM) standards and clinical quality improvement.
Clinical Quality Language (CQL)
Clinical Quality Language (CQL) is an HL7 draft standard for trial use (DSTU). It is part of the effort to harmonize standards between electronic clinical quality measures (eCQMs) and clinical decision support (CDS). CQL provides the ability to express logic that is human readable yet structured enough for processing a query electronically. In the future, CQL is to be used in all of the clinical quality measure HQMF electronic specifications. It will replace the logic expressions currently defined in the Quality Data Model (QDM) and QDM (v5.0) will include only the method for defining the data elements (the data model). For the most current information see the Clinical Quality Language page https://ecqi.healthit.gov/cql on the eCQI Resource Center.
Clinical Quality Measure (CQM)
A mechanism used for assessing the degree to which a provider competently and safely delivers clinical services that are appropriate for the patient in an optimal time frame. CQMs are a subset of the broader category of performance measures.
A code system is a managed collection of concepts with each concept represented by at least one internally unique code and a human readable description, e.g., SNOMED CT.
A comment period is the period of time the public has to respond to a request for public comment - whether it is a proposed rule, Request for Information, a new measure posted on the Measure Management System website, or some other document. The Administrative Procedure Act requires that federal agencies give the public an opportunity to participate in rulemaking. Executive Orders 12866 and 13563 provide that a comment period generally should be no less than 60 days, but the length of the comment period varies if not part of the rulemaking process.
Composite performance measure
A combination of two or more component measures, each of which individually reflects quality of care, into a single performance measure with a single score. Also called composite measures.
A measure score in which each individual value for the measure can fall anywhere along a continuous scale, and can be aggregated using a variety of methods such as the calculation of a mean or median (for example, mean number of minutes between presentation of chest pain to the time of administration of thrombolytics).
Cypress is the rigorous and repeatable testing tool of electronic health records (EHRs) and EHR modules The Cypress tool is open source and freely available for use or adoption by the health information technology community including EHR vendors and testing labs.
The lower part of a fraction used to calculate a rate, proportion, or ratio. It can be the same as the initial population or a subset of the initial population to further constrain the population for the purpose of the measure. Continuous variable measures do not have a denominator, but instead define a measure population.
A measure that evaluates the resource use (or cost) associated with a specific level of performance with respect to the aims of quality. For example, a provider in the healthcare system would be efficient if it was able to maximize output for a given set of inputs or to minimize inputs used to produce a given output. The AHRQ has developed a typology or analytical framework of efficiency measures: perspective, outputs, and inputs.
The Institute of medicine (IOM) defines efficiency as avoiding waste, including waste of equipment, supplies, and energy. To measure or assess efficiency, and ultimately value, associated with the care over the course of an episode of illness, the NQF has developed a framework to guide future and ongoing efforts in measuring efficiency in healthcare. The following constructs are essential to adequately assess the overall efficiency of the healthcare delivery system.
Quality of care is a measure of performance on the six IOM-specified healthcare aims: safety, timeliness, effectiveness, efficiency, equity, and patient centeredness.
Cost of care is a measure of total healthcare spending, which includes total resource use and unit price(s), by payer or consumer, for a healthcare service or group of healthcare services, associated with a specified patient population, time period, and unit(s) of clinical accountability.
Efficiency of care is a measure of cost of care associated with a specific level of performance measured with respect to the other five IOM aims of quality.
Value of care is a measure of a specified stakeholder’s preference-weighted assessment of a particular combination of quality and cost of care performance. Examples of stakeholders include individual patients, consumer organizations, payers, providers, governments, or societies.
An eCQM is a clinical quality measure that is expressed and formatted to use data from electronic health records (EHR) and/or health Information technology systems to measure healthcare quality, specifically data captured in structured form during the process of patient care. So they can be reported from an EHR, the Health Quality Measure Format (HQMF) is used to format the eCQM content using the Quality Data Model (QDM) to express the logic and the data elements needed to evaluate a provider or organization’s performance. The eCQMs include:
HTML - A web-facing, human readable rendition of some of the XML file content so that the user can understand how the elements are defined and the logic used to calculate the measure. HTML is divided into two parts: the header, which provides narrative details details on the measure itself, and the body, which contains the data criteria and logic for how the measure is calculated.
XML – A computer readable format that describes the logic content and allows for the creation of queries against an EHR (or other data store) for quality reporting. The XML conforms to HQMF standards.
Value Sets – Specific code systems to capture clinical concepts and patient data in the EHR system. Value sets provide definitions of the codes necessary to calculate the eCQM. The value sets for each measure are stored by The National Library of Medicine Value Set Authority Center (VSAC). Through the VSAC, providers, implementers, and developers can access the value sets for each eCQM.
Electronic Health Record (EHR)
This is also known as the electronic patient record, electronic medical record, or computerized patient record. As defined by Healthcare Information Management and Systems Society, “the electronic health record (EHR) is a longitudinal electronic record of patient health information generated by one or more encounters in any care delivery setting. Included in this information are patient demographics, progress notes, problems, medications, vital signs, past medical history, immunizations, laboratory data, and imaging reports.”
Extent to which the specifications, including measure logic, require data that are readily available or that could be captured without undue burden and can be implemented for performance measurement.
The standardization of specifications for related measures with the same measure focus (for example, influenza immunization of patients in hospitals or nursing homes); related measures for the same target population (for example, eye exam and HbA1c for patients with diabetes); or definitions applicable to many measures (for example, age designation for children) so that they are uniform or compatible, unless differences are justified (in other words, dictated by the evidence). The dimensions of harmonization can include numerator, denominator, exclusions, calculation, and data source and collection instructions. The extent of harmonization depends on the relationship of the measures, the evidence for the specific measure focus, and differences in data sources. Value sets used in measures (especially eCQMs) should be harmonized when the intended meaning is the same. Harmonization of logic in eCQMs is beneficial when the data source in the EHR is the same.
The term health information technology means hardware, software, integrated technologies or related licenses, intellectual property, upgrades, or packaged solutions provided as services that are designed for or support the use by health care entities or patients for the electronic creation, maintenance, access, or exchange of health information.
Health Information Technology for Economic and Clinical Health (HITECH) Act
A provision within the American Recovery and Reinvestment Act of 2009 (ARRA) which authorizes incentive payments through Medicare and Medicaid to hospitals and clinicians toward meaningful use of EHRs.
A standards-developing organization that provides a framework and standards for the exchange, integration, sharing, and retrieval of electronic health information that supports clinical practice and the management, delivery, and evaluation of health services.
Health Quality Measure Format (HQMF) is an HL7 standards-based representation of a quality measure as an electronic document. A quality measure expressed in this way is also referred to as an electronic clinical quality measure (eCQM).
Impact of a measure (Importance sub-criterion)
Now called High Priority by the National Quality Forum (NQF). The measure topic addresses a specific national health goal or priority; affects large numbers of patients; is a leading cause of morbidity/mortality; high resource use and severity of patient/societal consequences of poor quality. For patient-reported outcomes, there is evidence that the target population values the patient reported outcome (PRO) and finds it meaningful.
Refers to all events to be evaluated by a specific performance electronic clinical quality measure (eCQM) involving patients who share a common set of specified characteristics within a specific measurement set to which a given measure belongs. All patients counted (for example, as numerator, as denominator) are drawn from the initial population.
An intermediate outcome is a (measured) change in physiologic state that leads to a longer-term health outcome. There should be a body of evidence that the measured intermediate clinical outcome leads to a desired health outcome.
Inverse measures are measures where a lower performance rate is better. Therefore, a zero performance rate for these measures is a good score. For example, The National Healthcare Safety Network calculates most Healthcare-Associated Infections (HAI) as a standardized infection ratio (SIR). The SIR compares the actual number of HAIs (the numerator) with the predicted number based on the baseline U.S. experience (e.g., standard population), adjusting for several risk factors that have been found to be most associated with differences in infection rates. The goal is to have the numerator equal to or very close to zero thereby having a SIR equal to or very close to zero.
A software application that tracks issues and bugs. It also allows users to quickly search issues that have or are currently being resolved. For example, the Department of Health and Human Services (HHS) Groups are using JIRA to track issues with electronic clinical quality measures (eCQMs), tools, and standards. This system is commonly referred to as JIRA.
A long-term approach to work that systematically seeks to achieve incremental changes in order to improve efficiency and quality. It focuses on removing process waste and maximizing value to the customer (in this case the patient).
A Japanese phrase meaning continuous quality improvement by eliminating waste. The principles were implemented after World War II, influenced by American quality management teachers who visited Japan.
Learning Health System
In response to widespread demand for an improved health care system, the Institute of Medicine (IOM) convened a committee to explore health care challenges and to recommend ways to create a continuously learning health care system. The report, Best Care at Lower Cost The Path to Continuously Learning Health Care in America was released in 2012.
A mechanism to assign a quantity to an attribute by comparison to a criterion. A measure may stand alone or belong to a composite, subset, set, and/or collection of measures. A healthcare performance measure is a way to calculate whether and how often the healthcare system does what it should. Measures are based on scientific evidence about processes, outcomes, perceptions, or systems that relate to high-quality care.
A publicly available, web-based tool for measure developers to create electronic clinical quality measures (eCQMs). The MAT tool reduces the time required to create new quality measures, and converts existing paper-based measures into electronic health record-readable format.
The numeric result that is computed by applying the measure specifications and scoring algorithm. The computed measure score represents an aggregation of all appropriate patient-level data (for example, proportion of patients who died, average lab value attained) for the entity being measured (hospital, health plan, home health agency, clinician, etc.). The measure specifications designate the entity that is being measured and to whom the measure score applies.
Also called measure owner, this is an individual or organization that owns a measure and is responsible for maintaining the measure. Measure stewards are often the same as measure developers, but not always. Measure stewards are also the ongoing point of contact for people interested in a given measure.
Empirical analysis to demonstrate the reliability and validity of a measure as specified including analysis of issues that pose threats to the validity of conclusions about quality of care such as exclusions, risk adjustment/stratification for outcome and resource use measures, methods to identify differences in performance, and comparability of data sources/methods.
In response to an ever-increasing demand for quality measures, the Centers for Medicare & Medicaid Services (CMS) developed a standardized system for developing and maintaining the quality measures used in its various accountability initiatives and programs. Known as the Measures Management System (MMS), measure developers (or contractors) should follow this core set of business processes and decision criteria when developing, implementing, and maintaining quality measures.
Measures Under Consideration (MUC)
A “list of quality and efficiency measures DHHS is considering adopting, through the federal rulemaking process, for use in the Medicare program.” Made publicly available by December 1 each year for categories of measures that are described in section 1890(b) (7) (B) (i) (I) of the [Affordable Care] Act.
Not-for-profit, nonpartisan, membership-based organization that works to catalyze improvements in healthcare.
Null Performance Rate
If the measure is not applicable for all patients within the sample, the performance rate would be 0/0 (null) and would be considered satisfactorily reporting.
Defines instances that should not be included in the numerator data. Numerator exclusions are used in ratio and proportion measures.
The upper portion of a fraction used to calculate a rate, proportion, or ratio. Also called the measure focus, it is the target process, condition, event, or outcome. Numerator criteria are the processes or outcomes expected for each patient, procedure, or other unit of measurement defined in the denominator. A numerator statement describes the clinical action that satisfies the conditions of the performance measure.
A measure that assesses the results of healthcare that are experienced by patients: clinical events, recovery and health status, experiences in the health system, and efficiency/cost.
Patient-reported outcome (PRO)
Any report of the status of a patient’s health condition, health behavior, or experience with healthcare that comes directly from the patient, without interpretation of the patient’s response by a clinician or anyone else. This definition reflects the key domains of:
Health-related quality of life (including functional status)
Symptoms and symptom burden (e.g., pain, fatigue)
Experience with care
Health behaviors (e.g., smoking, diet, exercise)
Patient-reported outcome measure (PROM)
Instrument, scale, or single-item measure used to assess the patient reported outcome (PRO) concept as perceived by the patient, obtained by directly asking the patient to self-report.
Patient-reported outcome-based performance measure (PRO-PM)
A performance measure that is based on patient-reported outcome measure (PROM) data aggregated for an accountable healthcare entity.
Measure testing (sometimes referred to as pilot testing) is divided into two main types: alpha testing (also called formative testing), and beta testing (also called field testing).
A measure that focuses on a sequence of actions or steps that should be followed to provide high quality evidence-based care. There should be a scientific basis for believing that the process, when executed well, will increase the probability of achieving a desired outcome.
A score derived by dividing the number of cases that meet a criterion for quality (the numerator) by the number of eligible cases within a given time frame (the denominator) where the numerator cases are a subset of the denominator cases (for example, percentage of eligible women with a mammogram performed in the last year).
The Quality Data Model (QDM) enables expression of performance measurement data for electronic measurement. The QDM is the backbone for representation of quality criteria used in clinical guidelines, quality measures, and clinical decision support (CDS) and is used by stakeholders involved in electronic quality measurement and reporting, such as measure developers, federal agencies, health IT vendors, standards organizations, informatics experts, providers, and researchers.
Quality measure (or performance measure)
Numeric quantification of healthcare quality for a designated accountable healthcare entity, such as hospital, health plan, nursing home, clinician, etc. A healthcare performance measure is a way to calculate whether and how often the healthcare system does what it should. Measures are based on scientific evidence about processes, outcomes, perceptions, or systems that relate to high-quality care.
QRDA is a standard document format for the exchange of electronic clinical quality measure (eCQM) data. The QRDA documents:
Contain data extracted from electronic health records (EHRs) and other health information technology systems.
Can be used to exchange eCQM data between systems.
Are the data submission standards for a variety of quality measurement and reporting initiatives.
Were adopted by the Office of the National Coordinator for Health Information Technology (ONC) as the standard to support both QRDA Category I (individual patient) and QRDA Category III (provider’s aggregate) data submission.
A score that is derived by dividing a count of one type of data by a count of another type of data (for example, the number of patients with central lines who develop infection divided by the number of central line days).
Resource use measures
Also called cost and resource use measures. Refers to broadly applicable and comparable measures of health services counts (in terms of units or dollars) applied to a population or event (broadly defined to include diagnoses, procedures, or encounters). A resource use measure counts the frequency of defined health system resources. Some measures may monetize the health service by applying a dollar amount such as allowable charges, paid amounts, or standardized prices to each unit of resource use.
Respecified measures are eCQMs developed from current claims/registry/paper measures that are placed into HQMF format. Hence, a respecified measure will often include different data elements than the original CQM created based on the same evidence.
Method(s) applied to data to generate results/score. Most quality measures produce rates. However, other scoring methods include categorical value, continuous variable, count, frequency distribution, non-weighted score/composite/scale, ratio, and weighted score/composite/scales.
A method of testing the validity of an electronic clinical quality measure (eCQM) whereby the formal criteria in an eCQM are compared to a manual computation of the measure from the same test database.
As a statistical term, sensitivity refers to the proportion of actual positives that are correctly identified as such (for example, the percentage of people with diabetes who are correctly identified as having diabetes). See Specificity.
Measure instructions that address the following: data elements, data sources, point of data collection, timing and frequency of data collection and reporting, specific instruments to be used (if appropriate), and implementation strategies.
As a statistical term, specificity refers to the proportion of negatives that are correctly identified (for example, the percentage of healthy people who are correctly identified as not having the condition). Perfect specificity would mean that the measure recognizes all actual negatives (for example, all healthy people will be recognized as healthy). See Sensitivity.
Standard for Trial Use (STU)
STUs are used to "provide timely compliance with regulatory or other governmental mandate and/or timely response to industry or market demand." STU, following a suitable period for evaluation and comment, are incorporated into fully balloted and accredited version of the standard. Formerly called Draft Standard for Trial Use (DSTU).
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 structural measure is one that assesses features of a healthcare organization or clinician relevant to its capacity to provide healthcare.
The numerator (cases) and denominator (population sample meeting specified criteria) of the measure.
An on-line, publicly accessible registry and repository of healthcare-related metadata, specifications, and standards. USHIK is funded and directed by the Agency for Healthcare Research and Quality (AHRQ) with management support and engagement from numerous public and private partners.
Extent to which intended audiences (for example, consumers, purchasers, providers, policy makers) can understand a measure’s results and find them useful for quality improvement and decision making. Usability criteria ask if the measure is strong enough to be used for various types of measurement programs, including public reporting, whether it leads to actual improvement for patients, and whether the benefits of the measure outweigh any potential harms.
Validity (scientific acceptability of measure properties subcriterion)
Measure validity: The measure accurately represents the concept being evaluated and achieves the purpose for which it is intended (to measure quality). For example, the measure:
Clearly identifies the concept being evaluated (face validity).
Includes all necessary data elements, codes, and tables to detect a positive occurrence when one exists (construct validity).
Includes all necessary data sources to detect a positive occurrence when one exists (construct validity).
Data element validity: The extent to which the information represented by the data element or code used in the measure reflects the actual concept or event intended. For example:
A medication code is used as a proxy for a diagnosis code.
- Data element response categories include all values necessary to provide an accurate response.