HL7 Terminology (THO)
5.2.0 - Publication International flag

This page is part of the HL7 Terminology (v5.2.0: Release) based on FHIR R4. This is the current published version in its permanent home (it will always be available at this URL). For a full list of available versions, see the Directory of published versions

ValueSet: StatisticsCode

Official URL: http://terminology.hl7.org/ValueSet/observation-statistics Version: 0.2.0
Draft as of 2020-02-24 Responsible: HL7 (FHIR Project) Computable Name: StatisticsCode
Other Identifiers: id: urn:oid:2.16.840.1.113883.4.642.3.405

The statistical operation parameter -“statistic” codes.

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)

 

Expansion

This value set contains 21 concepts

Expansion based on StatisticsCode v0.1.0 (CodeSystem)

CodeSystemDisplayDefinition
  averagehttp://terminology.hl7.org/CodeSystem/observation-statisticsAverage

The mean of N measurements over the stated period.

  maximumhttp://terminology.hl7.org/CodeSystem/observation-statisticsMaximum

The maximum value of N measurements over the stated period.

  minimumhttp://terminology.hl7.org/CodeSystem/observation-statisticsMinimum

The minimum value of N measurements over the stated period.

  counthttp://terminology.hl7.org/CodeSystem/observation-statisticsCount

The [number] of valid measurements over the stated period that contributed to the other statistical outputs.

  total-counthttp://terminology.hl7.org/CodeSystem/observation-statisticsTotal Count

The total [number] of valid measurements over the stated period, including observations that were ignored because they did not contain valid result values.

  medianhttp://terminology.hl7.org/CodeSystem/observation-statisticsMedian

The median of N measurements over the stated period.

  std-devhttp://terminology.hl7.org/CodeSystem/observation-statisticsStandard Deviation

The standard deviation of N measurements over the stated period.

  sumhttp://terminology.hl7.org/CodeSystem/observation-statisticsSum

The sum of N measurements over the stated period.

  variancehttp://terminology.hl7.org/CodeSystem/observation-statisticsVariance

The variance of N measurements over the stated period.

  20-percenthttp://terminology.hl7.org/CodeSystem/observation-statistics20th Percentile

The 20th Percentile of N measurements over the stated period.

  80-percenthttp://terminology.hl7.org/CodeSystem/observation-statistics80th Percentile

The 80th Percentile of N measurements over the stated period.

  4-lowerhttp://terminology.hl7.org/CodeSystem/observation-statisticsLower Quartile

The lower Quartile Boundary of N measurements over the stated period.

  4-upperhttp://terminology.hl7.org/CodeSystem/observation-statisticsUpper Quartile

The upper Quartile Boundary of N measurements over the stated period.

  4-devhttp://terminology.hl7.org/CodeSystem/observation-statisticsQuartile Deviation

The difference between the upper and lower Quartiles is called the Interquartile range. (IQR = Q3-Q1) Quartile deviation or Semi-interquartile range is one-half the difference between the first and the third quartiles.

  5-1http://terminology.hl7.org/CodeSystem/observation-statistics1st Quintile

The lowest of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population.

  5-2http://terminology.hl7.org/CodeSystem/observation-statistics2nd Quintile

The second of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population.

  5-3http://terminology.hl7.org/CodeSystem/observation-statistics3rd Quintile

The third of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population.

  5-4http://terminology.hl7.org/CodeSystem/observation-statistics4th Quintile

The fourth of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population.

  skewhttp://terminology.hl7.org/CodeSystem/observation-statisticsSkew

Skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean. The skewness value can be positive or negative, or even undefined. Source: Wikipedia.

  kurtosishttp://terminology.hl7.org/CodeSystem/observation-statisticsKurtosis

Kurtosis is a measure of the "tailedness" of the probability distribution of a real-valued random variable. Source: Wikipedia.

  regressionhttp://terminology.hl7.org/CodeSystem/observation-statisticsRegression

Linear regression is an approach for modeling two-dimensional sample points with one independent variable and one dependent variable (conventionally, the x and y coordinates in a Cartesian coordinate system) and finds a linear function (a non-vertical straight line) that, as accurately as possible, predicts the dependent variable values as a function of the independent variables. Source: Wikipedia This Statistic code will return both a gradient and an intercept value.


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

History

DateActionAuthorCustodianComment
2020-10-14reviseGrahame GrieveVocabulary WGReset Version after migration to UTG
2020-05-06reviseTed KleinVocabulary WGMigrated to the UTG maintenance environment and publishing tooling.