Extensions for Using Data Elements from FHIR R5 in FHIR R4 - Downloaded Version null See the Directory of published versions
| Official URL: http://hl7.org/fhir/uv/xver/ValueSet/R5-v3-ObservationPopulationInclusion-for-R4 | Version: 0.1.0 | |||
| Standards status: Trial-use | Maturity Level: 0 | Computable Name: R5V3ObservationPopulationInclusionForR4 | ||
This cross-version ValueSet represents content from http://terminology.hl7.org/ValueSet/v3-ObservationPopulationInclusion|2.0.0 for use in FHIR R4.
This value set is part of the cross-version definitions generated to enable use of the
value set http://terminology.hl7.org/ValueSet/v3-ObservationPopulationInclusion|2.0.0 as defined in FHIR R5
in FHIR R4.
The source value set is bound to the following FHIR R5 elements:
Note that all concepts are included in this cross-version definition because no concepts have compatible representations
Following are the generation technical comments:
FHIR ValueSet http://terminology.hl7.org/ValueSet/v3-ObservationPopulationInclusion|2.0.0, defined in FHIR R5 does not have any mapping to FHIR R4
References
This value set is not used here; it may be used elsewhere (e.g. specifications and/or implementations that use this content)
http://terminology.hl7.org/CodeSystem/v3-ObservationValue version 📍2.1.0| Code | Display | Definition |
| DENEX | denominator 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. |
| DENEXCEP | denominator 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 |
| DENOM | denominator | 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. |
| IP | initial 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. |
| IPP | initial 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. |
| MSRPOPL | measure 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). |
| NUMER | numerator | 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). |
| NUMEX | numerator 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.) |
| _ObservationPopulationInclusion | ObservationPopulationInclusion | Observation values used to assert various populations that a subject falls into. |
This value set expansion contains 9 concepts.
| System | Version | Code | Display | Definition | JSON | XML |
http://terminology.hl7.org/CodeSystem/v3-ObservationValue | 2.1.0 | DENEX | denominator 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. | ||
http://terminology.hl7.org/CodeSystem/v3-ObservationValue | 2.1.0 | DENEXCEP | denominator 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:
| ||
http://terminology.hl7.org/CodeSystem/v3-ObservationValue | 2.1.0 | DENOM | denominator | 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. | ||
http://terminology.hl7.org/CodeSystem/v3-ObservationValue | 2.1.0 | IP | initial 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. | ||
http://terminology.hl7.org/CodeSystem/v3-ObservationValue | 2.1.0 | IPP | initial 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. | ||
http://terminology.hl7.org/CodeSystem/v3-ObservationValue | 2.1.0 | MSRPOPL | measure 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). | ||
http://terminology.hl7.org/CodeSystem/v3-ObservationValue | 2.1.0 | NUMER | numerator | 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). | ||
http://terminology.hl7.org/CodeSystem/v3-ObservationValue | 2.1.0 | NUMEX | numerator 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.) | ||
http://terminology.hl7.org/CodeSystem/v3-ObservationValue | 2.1.0 | _ObservationPopulationInclusion | ObservationPopulationInclusion | 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 |