FHIR Cross-Version Extensions package for FHIR R4 from FHIR R5
0.0.1-snapshot-2 - informative International flag

FHIR Cross-Version Extensions package for FHIR R4 from FHIR R5 - Version 0.0.1-snapshot-2. See the Directory of published versions

ValueSet: Cross-version VS for R5.ObservationPopulationInclusion for use in FHIR R4

Official URL: http://hl7.org/fhir/5.0/ValueSet/R5-v3-ObservationPopulationInclusion-for-R4 Version: 0.0.1-snapshot-2
Standards status: Informative Maturity Level: 0 Computable Name: R5_v3_ObservationPopulationInclusion_for_R4

This cross-version ValueSet represents concepts from http://terminology.hl7.org/ValueSet/v3-ObservationPopulationInclusion 2.0.0 for use in FHIR R4. Concepts not present here have direct equivalent mappings crossing all versions from R5 to R4.

References

This value set is not used here; it may be used elsewhere (e.g. specifications and/or implementations that use this content)

Logical Definition (CLD)

  • Include these codes as defined in http://terminology.hl7.org/CodeSystem/v3-ObservationValue version 2.1.0
    CodeDisplayDefinition
    DENEXdenominator exclusionsPatients who should be removed from the eMeasure population and denominator before determining if numerator criteria are met. Denominator exclusions are used in proportion and ratio measures to help narrow the denominator.
    DENEXCEPdenominator exceptionsDenominator exceptions are those conditions that should remove a patient, procedure or unit of measurement from the denominator only if the numerator criteria are not met. Denominator exceptions allow for adjustment of the calculated score for those providers with higher risk populations. Denominator exceptions are used only in proportion eMeasures. They are not appropriate for ratio or continuous variable eMeasures. Denominator exceptions allow for the exercise of clinical judgment and should be specifically defined where capturing the information in a structured manner fits the clinical workflow. Generic denominator exception reasons used in proportion eMeasures fall into three general categories:

    * Medical reasons
    * Patient reasons
    * System reasons
    DENOMdenominatorIt can be the same as the initial patient population or a subset of the initial patient population to further constrain the population for the purpose of the eMeasure. Different measures within an eMeasure set may have different Denominators. Continuous Variable eMeasures do not have a Denominator, but instead define a Measure Population.
    IPPinitial patient populationThe initial patient population refers to all patients to be evaluated by a specific quality measure who share a common set of specified characteristics within a specific measurement set to which a given measure belongs. Details often include information based upon specific age groups, diagnoses, diagnostic and procedure codes, and enrollment periods.
    IPinitial populationThe initial population refers to all entities to be evaluated by a specific quality measure who share a common set of specified characteristics within a specific measurement set to which a given measure belongs.
    MSRPOPLmeasure populationMeasure population is used only in continuous variable eMeasures. It is a narrative description of the eMeasure population. (e.g., all patients seen in the Emergency Department during the measurement period).
    NUMERnumeratorNumerators are used in proportion and ratio eMeasures. In proportion measures the numerator criteria are the processes or outcomes expected for each patient, procedure, or other unit of measurement defined in the denominator. In ratio measures the numerator is related, but not directly derived from the denominator (e.g., a numerator listing the number of central line blood stream infections and a denominator indicating the days per thousand of central line usage in a specific time period).
    NUMEXnumerator exclusionsNumerator Exclusions are used only in ratio eMeasures to define instances that should not be included in the numerator data. (e.g., if the number of central line blood stream infections per 1000 catheter days were to exclude infections with a specific bacterium, that bacterium would be listed as a numerator exclusion.)
    _ObservationPopulationInclusionObservationPopulationInclusionObservation values used to assert various populations that a subject falls into.

 

Expansion

This value set expansion contains 9 concepts.

CodeSystemDisplayDefinition
  DENEXhttp://terminology.hl7.org/CodeSystem/v3-ObservationValuedenominator exclusions

Patients who should be removed from the eMeasure population and denominator before determining if numerator criteria are met. Denominator exclusions are used in proportion and ratio measures to help narrow the denominator.

  DENEXCEPhttp://terminology.hl7.org/CodeSystem/v3-ObservationValuedenominator exceptions

Denominator exceptions are those conditions that should remove a patient, procedure or unit of measurement from the denominator only if the numerator criteria are not met. Denominator exceptions allow for adjustment of the calculated score for those providers with higher risk populations. Denominator exceptions are used only in proportion eMeasures. They are not appropriate for ratio or continuous variable eMeasures. Denominator exceptions allow for the exercise of clinical judgment and should be specifically defined where capturing the information in a structured manner fits the clinical workflow. Generic denominator exception reasons used in proportion eMeasures fall into three general categories:

  • Medical reasons
  • Patient reasons
  • System reasons
  DENOMhttp://terminology.hl7.org/CodeSystem/v3-ObservationValuedenominator

It can be the same as the initial patient population or a subset of the initial patient population to further constrain the population for the purpose of the eMeasure. Different measures within an eMeasure set may have different Denominators. Continuous Variable eMeasures do not have a Denominator, but instead define a Measure Population.

  IPPhttp://terminology.hl7.org/CodeSystem/v3-ObservationValueinitial patient population

The initial patient population refers to all patients to be evaluated by a specific quality measure who share a common set of specified characteristics within a specific measurement set to which a given measure belongs. Details often include information based upon specific age groups, diagnoses, diagnostic and procedure codes, and enrollment periods.

  IPhttp://terminology.hl7.org/CodeSystem/v3-ObservationValueinitial population

The initial population refers to all entities to be evaluated by a specific quality measure who share a common set of specified characteristics within a specific measurement set to which a given measure belongs.

  MSRPOPLhttp://terminology.hl7.org/CodeSystem/v3-ObservationValuemeasure population

Measure population is used only in continuous variable eMeasures. It is a narrative description of the eMeasure population. (e.g., all patients seen in the Emergency Department during the measurement period).

  NUMERhttp://terminology.hl7.org/CodeSystem/v3-ObservationValuenumerator

Numerators are used in proportion and ratio eMeasures. In proportion measures the numerator criteria are the processes or outcomes expected for each patient, procedure, or other unit of measurement defined in the denominator. In ratio measures the numerator is related, but not directly derived from the denominator (e.g., a numerator listing the number of central line blood stream infections and a denominator indicating the days per thousand of central line usage in a specific time period).

  NUMEXhttp://terminology.hl7.org/CodeSystem/v3-ObservationValuenumerator exclusions

Numerator Exclusions are used only in ratio eMeasures to define instances that should not be included in the numerator data. (e.g., if the number of central line blood stream infections per 1000 catheter days were to exclude infections with a specific bacterium, that bacterium would be listed as a numerator exclusion.)

  _ObservationPopulationInclusionhttp://terminology.hl7.org/CodeSystem/v3-ObservationValueObservationPopulationInclusion

Observation values used to assert various populations that a subject falls into.


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