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type: codesystemcodesystem: observation-statistics

Statistics Code

Concepts

CodeDisplayDefinition
averageAverageThe mean of N measurements over the stated period.
maximumMaximumThe maximum value of N measurements over the stated period.
minimumMinimumThe minimum value of N measurements over the stated period.
countCountThe [number] of valid measurements over the stated period that contributed to the other statistical outputs.
total-countTotal CountThe total [number] of valid measurements over the stated period, including observations that were ignored because they did not contain valid result values.
medianMedianThe median of N measurements over the stated period.
std-devStandard DeviationThe standard deviation of N measurements over the stated period.
sumSumThe sum of N measurements over the stated period.
varianceVarianceThe variance of N measurements over the stated period.
20-percent20th PercentileThe 20th Percentile of N measurements over the stated period.
80-percent80th PercentileThe 80th Percentile of N measurements over the stated period.
4-lowerLower QuartileThe lower Quartile Boundary of N measurements over the stated period.
4-upperUpper QuartileThe upper Quartile Boundary of N measurements over the stated period.
4-devQuartile DeviationThe 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.
5-11st QuintileThe 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.
5-22nd QuintileThe 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.
5-33rd QuintileThe 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.
5-44th QuintileThe 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.
skewSkewSkewness 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.
kurtosisKurtosisKurtosis is a measure of the "tailedness" of the probability distribution of a real-valued random variable. Source: Wikipedia.
regressionRegressionLinear 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.

CodeSystem XML

<?xml version="1.0" encoding="UTF-8"?>

<CodeSystem xmlns="http://hl7.org/fhir">
  <id value="observation-statistics"/>
  <meta>

  </meta>
  <extension url="http://hl7.org/fhir/StructureDefinition/structuredefinition-wg">
    <valueCode value="oo"/>
  </extension>
  <url value="http://hl7.org/fhir/observation-statistics"/>
  <identifier>
    <system value="urn:ietf:rfc:3986"/>
    <value value="urn:oid:2.16.840.1.113883.4.642.1.1126"/>
  </identifier>
  <identifier>
    <use value="old"/>
    <system value="urn:ietf:rfc:3986"/>
    <value value="urn:oid:2.16.840.1.113883.4.642.1.395"/>
  </identifier>
  <version value="6.0.0"/>
  <name value="StatisticsCode"/>
  <title value="Statistics Code"/>
  <status value="active"/>
  <experimental value="false"/>
  <date value="2022-12-01T09:29:23+11:00"/>
  <publisher value="HL7 (FHIR Project)"/>
  <contact>
    <telecom>
      <system value="url"/>
      <value value="http://hl7.org/fhir"/>
    </telecom>
    <telecom>
      <system value="email"/>
      <value value="fhir@lists.hl7.org"/>
    </telecom>
  </contact>
  <description value="The statistical operation parameter -"statistic" codes."/>
  <caseSensitive value="true"/>
  <valueSet value="http://hl7.org/fhir/ValueSet/observation-statistics"/>
  <content value="complete"/>
  <concept>
    <code value="average"/>
    <display value="Average"/>
    <definition value="The [mean](https://en.wikipedia.org/wiki/Arithmetic_mean) of N measurements over the stated period."/>
  </concept>
  <concept>
    <code value="maximum"/>
    <display value="Maximum"/>
    <definition value="The [maximum](https://en.wikipedia.org/wiki/Maximal_element) value of N measurements over the stated period."/>
  </concept>
  <concept>
    <code value="minimum"/>
    <display value="Minimum"/>
    <definition value="The [minimum](https://en.wikipedia.org/wiki/Minimal_element) value of N measurements over the stated period."/>
  </concept>
  <concept>
    <code value="count"/>
    <display value="Count"/>
    <definition value="The [number] of valid measurements over the stated period that contributed to the other statistical outputs."/>
  </concept>
  <concept>
    <code value="total-count"/>
    <display value="Total Count"/>
    <definition value="The total [number] of valid measurements over the stated period, including observations that were ignored because they did not contain valid result values."/>
  </concept>
  <concept>
    <code value="median"/>
    <display value="Median"/>
    <definition value="The [median](https://en.wikipedia.org/wiki/Median) of N measurements over the stated period."/>
  </concept>
  <concept>
    <code value="std-dev"/>
    <display value="Standard Deviation"/>
    <definition value="The [standard deviation](https://en.wikipedia.org/wiki/Standard_deviation) of N measurements over the stated period."/>
  </concept>
  <concept>
    <code value="sum"/>
    <display value="Sum"/>
    <definition value="The [sum](https://en.wikipedia.org/wiki/Summation) of N measurements over the stated period."/>
  </concept>
  <concept>
    <code value="variance"/>
    <display value="Variance"/>
    <definition value="The [variance](https://en.wikipedia.org/wiki/Variance) of N measurements over the stated period."/>
  </concept>
  <concept>
    <code value="20-percent"/>
    <display value="20th Percentile"/>
    <definition value="The 20th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period."/>
  </concept>
  <concept>
    <code value="80-percent"/>
    <display value="80th Percentile"/>
    <definition value="The 80th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period."/>
  </concept>
  <concept>
    <code value="4-lower"/>
    <display value="Lower Quartile"/>
    <definition value="The lower [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period."/>
  </concept>
  <concept>
    <code value="4-upper"/>
    <display value="Upper Quartile"/>
    <definition value="The upper [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period."/>
  </concept>
  <concept>
    <code value="4-dev"/>
    <display value="Quartile Deviation"/>
    <definition value="The difference between the upper and lower [Quartiles](https://en.wikipedia.org/wiki/Quartile) 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."/>
  </concept>
  <concept>
    <code value="5-1"/>
    <display value="1st Quintile"/>
    <definition value="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."/>
  </concept>
  <concept>
    <code value="5-2"/>
    <display value="2nd Quintile"/>
    <definition value="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."/>
  </concept>
  <concept>
    <code value="5-3"/>
    <display value="3rd Quintile"/>
    <definition value="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."/>
  </concept>
  <concept>
    <code value="5-4"/>
    <display value="4th Quintile"/>
    <definition value="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."/>
  </concept>
  <concept>
    <code value="skew"/>
    <display value="Skew"/>
    <definition value="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](https://en.wikipedia.org/wiki/Skewness)."/>
  </concept>
  <concept>
    <code value="kurtosis"/>
    <display value="Kurtosis"/>
    <definition value="Kurtosis  is a measure of the "tailedness" of the probability distribution of a real-valued random variable.   Source: [Wikipedia](https://en.wikipedia.org/wiki/Kurtosis)."/>
  </concept>
  <concept>
    <code value="regression"/>
    <display value="Regression"/>
    <definition value="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](https://en.wikipedia.org/wiki/Simple_linear_regression)  This Statistic code will return both a gradient and an intercept value."/>
  </concept>
</CodeSystem>