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4.4.1.753 ValueSet http://hl7.org/fhir/ValueSet/observation-statistics

Orders and Observations icon Work Group Maturity Level: 0Informative Use Context: Country: World
Official URL: http://hl7.org/fhir/ValueSet/observation-statistics Version: 6.0.0-cibuild
active as of 2024-07-16 Computable Name: StatisticsCode
Flags: OID: 2.16.840.1.113883.4.642.3.405

This value set is used in the following places:

Description Needed Here


 

This expansion generated 16 Jul 2024


Expansion based on codesystem Statistics Code v6.0.0-cibuild (CodeSystem)

This value set contains 21 concepts.

CodeSystemDisplayDefinition
  averagehttp://hl7.org/fhir/observation-statisticsAverage

The mean icon of N measurements over the stated period.

  maximumhttp://hl7.org/fhir/observation-statisticsMaximum

The maximum icon value of N measurements over the stated period.

  minimumhttp://hl7.org/fhir/observation-statisticsMinimum

The minimum icon value of N measurements over the stated period.

  counthttp://hl7.org/fhir/observation-statisticsCount

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

  total-counthttp://hl7.org/fhir/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://hl7.org/fhir/observation-statisticsMedian

The median icon of N measurements over the stated period.

  std-devhttp://hl7.org/fhir/observation-statisticsStandard Deviation

The standard deviation icon of N measurements over the stated period.

  sumhttp://hl7.org/fhir/observation-statisticsSum

The sum icon of N measurements over the stated period.

  variancehttp://hl7.org/fhir/observation-statisticsVariance

The variance icon of N measurements over the stated period.

  20-percenthttp://hl7.org/fhir/observation-statistics20th Percentile

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

  80-percenthttp://hl7.org/fhir/observation-statistics80th Percentile

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

  4-lowerhttp://hl7.org/fhir/observation-statisticsLower Quartile

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

  4-upperhttp://hl7.org/fhir/observation-statisticsUpper Quartile

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

  4-devhttp://hl7.org/fhir/observation-statisticsQuartile Deviation

The difference between the upper and lower Quartiles icon 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://hl7.org/fhir/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://hl7.org/fhir/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://hl7.org/fhir/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://hl7.org/fhir/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://hl7.org/fhir/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 icon.

  kurtosishttp://hl7.org/fhir/observation-statisticsKurtosis

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

  regressionhttp://hl7.org/fhir/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 icon This Statistic code will return both a gradient and an intercept value.

 

See the full registry of value sets defined as part of FHIR.


Explanation of the columns that may appear on this page:

LvlA few code lists that FHIR defines are hierarchical - each code is assigned a level. For value sets, levels are mostly used to organize codes for user convenience, but may follow code system hierarchy - see Code System for further information
SourceThe source of the definition of the code (when the value set draws in codes defined elsewhere)
CodeThe code (used as the code in the resource instance). If the code is in italics, this indicates that the code is not selectable ('Abstract')
DisplayThe 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
DefinitionAn explanation of the meaning of the concept
CommentsAdditional notes about how to use the code