HL7 Terminology (THO)
6.1.0 - Continuous Process Integration (ci build)
HL7 Terminology (THO)
6.1.0 - Continuous Process Integration (ci build)
HL7 Terminology (THO), published by HL7 International - Vocabulary Work Group. This guide is not an authorized publication; it is the continuous build for version 6.1.0 built by the FHIR (HL7® FHIR® Standard) CI Build. This version is based on the current content of https://github.com/HL7/UTG/ and changes regularly. See the Directory of published versions
| Active as of 2020-04-09 | Maturity Level: 4 |
<CodeSystem xmlns="http://hl7.org/fhir">
<id value="measure-population"/>
<meta>
<lastUpdated value="2020-04-09T21:10:28.568+00:00"/>
</meta>
<text>
<status value="generated"/>
<div xmlns="http://www.w3.org/1999/xhtml"><p class="res-header-id"><b>Generated Narrative: CodeSystem measure-population</b></p><a name="measure-population"> </a><a name="hcmeasure-population"> </a><a name="measure-population-en-US"> </a><div style="display: inline-block; background-color: #d9e0e7; padding: 6px; margin: 4px; border: 1px solid #8da1b4; border-radius: 5px; line-height: 60%"><p style="margin-bottom: 0px">Last updated: 2020-04-09 21:10:28+0000</p></div><p>This case-sensitive code system <code>http://terminology.hl7.org/CodeSystem/measure-population</code> defines the following codes:</p><table class="codes"><tr><td style="white-space:nowrap"><b>Code</b></td><td><b>Display</b></td><td><b>Definition</b></td></tr><tr><td style="white-space:nowrap">initial-population<a name="measure-population-initial-population"> </a></td><td>Initial Population</td><td><div><p>The initial population criteria refers to all patients, subjects, or events to be evaluated by a quality measure involving patients or subjects who share a common set of specified characterstics. All patients, subjects, or events counted (for example, as numerator, as denominator) are drawn from the initial population.</p>
</div></td></tr><tr><td style="white-space:nowrap">numerator<a name="measure-population-numerator"> </a></td><td>Numerator</td><td><div><p>The numerator inclusion statement describes the process, condition, event, or outcome that satisfies the measure’s focus or intent. The numerator inclusion statement includes parameters such as:</p>
<ul>
<li>the Event or events that will satisfy the numerator inclusion criteria</li>
<li>the Performance period or time interval in which the numerator event must occur, if it is different from that used for identifying the denominator.</li>
</ul>
<p>Note that this code is used to identify the starting inclusion criteria for the numerator. The final calculated numerator must be determined by considering all relevant criteria for the scoring type, including numerator inclusion and exclusion criteria.</p>
<p>Source: https://mmshub.cms.gov/measure-lifecycle/measure-specification/develop-specification/numerator</p>
</div></td></tr><tr><td style="white-space:nowrap">numerator-exclusion<a name="measure-population-numerator-exclusion"> </a></td><td>Numerator Exclusion</td><td><div><p>Numerator exclusion criteria define patients, subjects, or events to be excluded from the numerator. Numerator exclusions are used in proportion and ratio measures to help narrow the numerator (for inverted measures).</p>
</div></td></tr><tr><td style="white-space:nowrap">denominator<a name="measure-population-denominator"> </a></td><td>Denominator</td><td><div><p>Denominator inclusion criteria define the patients, subjects, or events that should be included in the lower portion of a fraction used to calculate a rate, proportion, or ratio.</p>
<p>Note that this code is used to identify the starting inclusion criteria for the denominator. The final calculated denominator must be determined by considering all relevant criteria for the scoring type, including denominator inclusion, exclusion, and exception criteria. The final calculated denominator 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.</p>
</div></td></tr><tr><td style="white-space:nowrap">denominator-exclusion<a name="measure-population-denominator-exclusion"> </a></td><td>Denominator Exclusion</td><td><div><p>Denominator exclusion criteria define patients, subjects, or events that should be excluded from the denominator. Denominator exclusions are used in proportion and ratio measures to help narrow the denominator. For example, patients with bilateral lower extremity amputations would be listed as a denominator exclusion for a measure requiring foot exams.</p>
</div></td></tr><tr><td style="white-space:nowrap">denominator-exception<a name="measure-population-denominator-exception"> </a></td><td>Denominator Exception</td><td><div><p>Denominator exceptions are conditions that should remove a patient, subject, or event from the denominator of a measure only if the numerator criteria are not met. Denominator exception allows for adjustment of the calculated score for those providers with higher risk populations. Denominator exception criteria are only used in proportion measures.</p>
</div></td></tr><tr><td style="white-space:nowrap">measure-population<a name="measure-population-measure-population"> </a></td><td>Measure Population</td><td><div><p>Measure population inclusion criteria define the patients, subjects, or events for which the measure observation should be taken. Measure populations are used for continuous variable measures rather than numerator and denominator criteria.</p>
<p>Note that this code is used to identify the starting inclusion criteria for the measure population. The final calculated measure population must be determined by considering all relevant criteria for the scoring type, including measure population inclusion and exclusion criteria.</p>
</div></td></tr><tr><td style="white-space:nowrap">measure-population-exclusion<a name="measure-population-measure-population-exclusion"> </a></td><td>Measure Population Exclusion</td><td><div><p>Measure population exclusion criteria define the patients or events that should be excluded from the measure population before determining the outcome of one or more continuous variables defined for the measure observation. Measure population exclusion criteria are used within continuous variable measures to help narrow the measure population.</p>
</div></td></tr><tr><td style="white-space:nowrap">measure-observation<a name="measure-population-measure-observation"> </a></td><td>Measure Observation</td><td><div><p>Measure observation criteria are used to define an individual observation to be performed for each patient, subject, or event in the measure population. Measure observations for each case in the population are aggregated to determine the overall measure score for the population.</p>
</div></td></tr></table></div>
</text>
<extension
url="http://hl7.org/fhir/StructureDefinition/structuredefinition-wg">
<valueCode value="cqi"/>
</extension>
<extension
url="http://hl7.org/fhir/StructureDefinition/structuredefinition-fmm">
<valueInteger value="4"/>
</extension>
<url value="http://terminology.hl7.org/CodeSystem/measure-population"/>
<identifier>
<system value="urn:ietf:rfc:3986"/>
<value value="urn:oid:2.16.840.1.113883.4.642.1.1231"/>
</identifier>
<version value="2.0.0"/>
<name value="MeasurePopulationType"/>
<title value="Measure Population Type"/>
<status value="active"/>
<experimental value="false"/>
<date value="2020-04-09T21:10:28+00:00"/>
<publisher value="Health Level Seven International"/>
<contact>
<telecom>
<system value="url"/>
<value value="http://hl7.org"/>
</telecom>
<telecom>
<system value="email"/>
<value value="hq@HL7.org"/>
</telecom>
</contact>
<description value="The type of population."/>
<copyright
value="This material derives from the HL7 Terminology (THO). THO is copyright ©1989+ Health Level Seven International and is made available under the CC0 designation. For more licensing information see: https://terminology.hl7.org/license.html"/>
<caseSensitive value="true"/>
<valueSet value="http://terminology.hl7.org/ValueSet/measure-population"/>
<content value="complete"/>
<concept>
<code value="initial-population"/>
<display value="Initial Population"/>
<definition
value="The initial population criteria refers to all patients, subjects, or events to be evaluated by a quality measure involving patients or subjects who share a common set of specified characterstics. All patients, subjects, or events counted (for example, as numerator, as denominator) are drawn from the initial population."/>
</concept>
<concept>
<code value="numerator"/>
<display value="Numerator"/>
<definition
value="The numerator inclusion statement describes the process, condition, event, or outcome that satisfies the measure’s focus or intent. The numerator inclusion statement includes parameters such as:
* the Event or events that will satisfy the numerator inclusion criteria
* the Performance period or time interval in which the numerator event must occur, if it is different from that used for identifying the denominator.
Note that this code is used to identify the starting inclusion criteria for the numerator. The final calculated numerator must be determined by considering all relevant criteria for the scoring type, including numerator inclusion and exclusion criteria.
Source: https://mmshub.cms.gov/measure-lifecycle/measure-specification/develop-specification/numerator"/>
</concept>
<concept>
<code value="numerator-exclusion"/>
<display value="Numerator Exclusion"/>
<definition
value="Numerator exclusion criteria define patients, subjects, or events to be excluded from the numerator. Numerator exclusions are used in proportion and ratio measures to help narrow the numerator (for inverted measures)."/>
</concept>
<concept>
<code value="denominator"/>
<display value="Denominator"/>
<definition
value="Denominator inclusion criteria define the patients, subjects, or events that should be included in the lower portion of a fraction used to calculate a rate, proportion, or ratio.
Note that this code is used to identify the starting inclusion criteria for the denominator. The final calculated denominator must be determined by considering all relevant criteria for the scoring type, including denominator inclusion, exclusion, and exception criteria. The final calculated denominator 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."/>
</concept>
<concept>
<code value="denominator-exclusion"/>
<display value="Denominator Exclusion"/>
<definition
value="Denominator exclusion criteria define patients, subjects, or events that should be excluded from the denominator. Denominator exclusions are used in proportion and ratio measures to help narrow the denominator. For example, patients with bilateral lower extremity amputations would be listed as a denominator exclusion for a measure requiring foot exams."/>
</concept>
<concept>
<code value="denominator-exception"/>
<display value="Denominator Exception"/>
<definition
value="Denominator exceptions are conditions that should remove a patient, subject, or event from the denominator of a measure only if the numerator criteria are not met. Denominator exception allows for adjustment of the calculated score for those providers with higher risk populations. Denominator exception criteria are only used in proportion measures."/>
</concept>
<concept>
<code value="measure-population"/>
<display value="Measure Population"/>
<definition
value="Measure population inclusion criteria define the patients, subjects, or events for which the measure observation should be taken. Measure populations are used for continuous variable measures rather than numerator and denominator criteria.
Note that this code is used to identify the starting inclusion criteria for the measure population. The final calculated measure population must be determined by considering all relevant criteria for the scoring type, including measure population inclusion and exclusion criteria."/>
</concept>
<concept>
<code value="measure-population-exclusion"/>
<display value="Measure Population Exclusion"/>
<definition
value="Measure population exclusion criteria define the patients or events that should be excluded from the measure population before determining the outcome of one or more continuous variables defined for the measure observation. Measure population exclusion criteria are used within continuous variable measures to help narrow the measure population."/>
</concept>
<concept>
<code value="measure-observation"/>
<display value="Measure Observation"/>
<definition
value="Measure observation criteria are used to define an individual observation to be performed for each patient, subject, or event in the measure population. Measure observations for each case in the population are aggregated to determine the overall measure score for the population."/>
</concept>
</CodeSystem>
IG © 2020+ HL7 International - Vocabulary Work Group. Package hl7.terminology#6.1.0 based on FHIR 5.0.0. Generated 2024-11-19
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