LinuxForHealth FHIR Implementation Guide
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LinuxForHealth FHIR Implementation Guide - Local Development build (v8.0.0). See the Directory of published versions

ValueSet: Measure Population Type Value Set

Official URL: http://linuxforhealth.org/fhir/cdm/ValueSet/measure-population-type Version: 8.0.0
Active as of 2022-11-10 Computable Name: MeasurePopulationTypeValueSet

LinuxForHealth measure population types

References

Logical Definition (CLD)

This value set includes codes based on the following rules:

 

Expansion

This value set contains 10 concepts

CodeSystemDisplayDefinition
  initial-populationhttp://terminology.hl7.org/CodeSystem/measure-populationInitial Population

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.

  numeratorhttp://terminology.hl7.org/CodeSystem/measure-populationNumerator

Numerator criteria define the patients, subjects, or events that should be included in 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, subject, or event defined in the denominator. A numerator statement describes the clinical action that satisfies the conditions of the measure.

  numerator-exclusionhttp://terminology.hl7.org/CodeSystem/measure-populationNumerator Exclusion

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).

  denominatorhttp://terminology.hl7.org/CodeSystem/measure-populationDenominator

Denominator 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. The 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.

  denominator-exclusionhttp://terminology.hl7.org/CodeSystem/measure-populationDenominator Exclusion

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.

  denominator-exceptionhttp://terminology.hl7.org/CodeSystem/measure-populationDenominator Exception

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.

  measure-populationhttp://terminology.hl7.org/CodeSystem/measure-populationMeasure Population

Measure population criteria define the patients, subjects, or events for which the individual observation for the measure should be taken. Measure populations are used for continuous variable measures rather than numerator and denominator criteria.

  measure-population-exclusionhttp://terminology.hl7.org/CodeSystem/measure-populationMeasure Population Exclusion

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.

  measure-observationhttp://terminology.hl7.org/CodeSystem/measure-populationMeasure Observation

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.

  care-gaphttp://linuxforhealth.org/fhir/cdm/CodeSystem/measure-population-typeCare Gap

The care gap population contains patients and events that are non-compliant for the numerator, lacking the clinical action required to satisfy the conditions of the measure. These exclude pateints or events that are in exclusion or exception populations. The care gap is the primary focus for engagement.


Explanation of the columns that may appear on this page:

Level A few code lists that FHIR defines are hierarchical - each code is assigned a level. In this scheme, some codes are under other codes, and imply that the code they are under also applies
System The source of the definition of the code (when the value set draws in codes defined elsewhere)
Code The code (used as the code in the resource instance)
Display The display (used in the display element of a Coding). If there is no display, implementers should not simply display the code, but map the concept into their application
Definition An explanation of the meaning of the concept
Comments Additional notes about how to use the code