FHIR Cross-Version Extensions package for FHIR R4 from FHIR R5
0.0.1-snapshot-2 - informative
FHIR Cross-Version Extensions package for FHIR R4 from FHIR R5
0.0.1-snapshot-2 - informative
FHIR Cross-Version Extensions package for FHIR R4 from FHIR R5 - Version 0.0.1-snapshot-2. See the Directory of published versions
| Page standards status: Informative | Maturity Level: 0 |
<CodeSystem xmlns="http://hl7.org/fhir">
<id value="observation-statistics"/>
<text>
<status value="generated"/>
<div xmlns="http://www.w3.org/1999/xhtml">
<p>This code system
<code>http://hl7.org/fhir/observation-statistics</code> defines the following codes:
</p>
<table class="codes">
<tr>
<td style="white-space:nowrap">
<b>Code</b>
</td>
<td>
<b>Display</b>
</td>
<td>
<b>Definition</b>
</td>
</tr>
<tr>
<td style="white-space:nowrap">average
<a name="observation-statistics-average"> </a>
</td>
<td>Average</td>
<td>The [mean](https://en.wikipedia.org/wiki/Arithmetic_mean) of N measurements over the stated period.</td>
</tr>
<tr>
<td style="white-space:nowrap">maximum
<a name="observation-statistics-maximum"> </a>
</td>
<td>Maximum</td>
<td>The [maximum](https://en.wikipedia.org/wiki/Maximal_element) value of N measurements over the stated period.</td>
</tr>
<tr>
<td style="white-space:nowrap">minimum
<a name="observation-statistics-minimum"> </a>
</td>
<td>Minimum</td>
<td>The [minimum](https://en.wikipedia.org/wiki/Minimal_element) value of N measurements over the stated period.</td>
</tr>
<tr>
<td style="white-space:nowrap">count
<a name="observation-statistics-count"> </a>
</td>
<td>Count</td>
<td>The [number] of valid measurements over the stated period that contributed to the other statistical outputs.</td>
</tr>
<tr>
<td style="white-space:nowrap">total-count
<a name="observation-statistics-total-count"> </a>
</td>
<td>Total Count</td>
<td>The total [number] of valid measurements over the stated period, including observations that were ignored because they did not contain valid result values.</td>
</tr>
<tr>
<td style="white-space:nowrap">median
<a name="observation-statistics-median"> </a>
</td>
<td>Median</td>
<td>The [median](https://en.wikipedia.org/wiki/Median) of N measurements over the stated period.</td>
</tr>
<tr>
<td style="white-space:nowrap">std-dev
<a name="observation-statistics-std-dev"> </a>
</td>
<td>Standard Deviation</td>
<td>The [standard deviation](https://en.wikipedia.org/wiki/Standard_deviation) of N measurements over the stated period.</td>
</tr>
<tr>
<td style="white-space:nowrap">sum
<a name="observation-statistics-sum"> </a>
</td>
<td>Sum</td>
<td>The [sum](https://en.wikipedia.org/wiki/Summation) of N measurements over the stated period.</td>
</tr>
<tr>
<td style="white-space:nowrap">variance
<a name="observation-statistics-variance"> </a>
</td>
<td>Variance</td>
<td>The [variance](https://en.wikipedia.org/wiki/Variance) of N measurements over the stated period.</td>
</tr>
<tr>
<td style="white-space:nowrap">20-percent
<a name="observation-statistics-20-percent"> </a>
</td>
<td>20th Percentile</td>
<td>The 20th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period.</td>
</tr>
<tr>
<td style="white-space:nowrap">80-percent
<a name="observation-statistics-80-percent"> </a>
</td>
<td>80th Percentile</td>
<td>The 80th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period.</td>
</tr>
<tr>
<td style="white-space:nowrap">4-lower
<a name="observation-statistics-4-lower"> </a>
</td>
<td>Lower Quartile</td>
<td>The lower [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period.</td>
</tr>
<tr>
<td style="white-space:nowrap">4-upper
<a name="observation-statistics-4-upper"> </a>
</td>
<td>Upper Quartile</td>
<td>The upper [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period.</td>
</tr>
<tr>
<td style="white-space:nowrap">4-dev
<a name="observation-statistics-4-dev"> </a>
</td>
<td>Quartile Deviation</td>
<td>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.</td>
</tr>
<tr>
<td style="white-space:nowrap">5-1
<a name="observation-statistics-5-1"> </a>
</td>
<td>1st Quintile</td>
<td>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.</td>
</tr>
<tr>
<td style="white-space:nowrap">5-2
<a name="observation-statistics-5-2"> </a>
</td>
<td>2nd Quintile</td>
<td>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.</td>
</tr>
<tr>
<td style="white-space:nowrap">5-3
<a name="observation-statistics-5-3"> </a>
</td>
<td>3rd Quintile</td>
<td>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.</td>
</tr>
<tr>
<td style="white-space:nowrap">5-4
<a name="observation-statistics-5-4"> </a>
</td>
<td>4th Quintile</td>
<td>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.</td>
</tr>
<tr>
<td style="white-space:nowrap">skew
<a name="observation-statistics-skew"> </a>
</td>
<td>Skew</td>
<td>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).</td>
</tr>
<tr>
<td style="white-space:nowrap">kurtosis
<a name="observation-statistics-kurtosis"> </a>
</td>
<td>Kurtosis</td>
<td>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).</td>
</tr>
<tr>
<td style="white-space:nowrap">regression
<a name="observation-statistics-regression"> </a>
</td>
<td>Regression</td>
<td>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.</td>
</tr>
</table>
</div>
</text>
<extension url="http://hl7.org/fhir/StructureDefinition/package-source">
<extension url="packageId">
<valueId value="hl7.fhir.uv.xver-r5.r4"/>
</extension>
<extension url="version">
<valueString value="0.0.1-snapshot-2"/>
</extension>
</extension>
<extension
url="http://hl7.org/fhir/StructureDefinition/structuredefinition-wg">
<valueCode value="oo"/>
</extension>
<url value="http://hl7.org/fhir/observation-statistics"/>
<version value="5.0.0"/>
<name value="StatisticsCode"/>
<title value="Statistics Code"/>
<status value="active"/>
<experimental value="false"/>
<date value="2022-12-01T08:29:23+10:00"/>
<publisher value="Orders and Observations"/>
<contact>
<name value="Orders and Observations"/>
<telecom>
<system value="url"/>
<value value="http://www.hl7.org/Special/committees/orders"/>
</telecom>
</contact>
<description
value="The statistical operation parameter -"statistic" codes."/>
<jurisdiction>
<coding>
<system value="http://unstats.un.org/unsd/methods/m49/m49.htm"/>
<code value="001"/>
<display value="World"/>
</coding>
</jurisdiction>
<caseSensitive value="true"/>
<valueSet
value="http://hl7.org/fhir/ValueSet/observation-statistics|4.0.1"/>
<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>
IG © 2025+ FHIR Infrastructure. Package hl7.fhir.uv.xver-r5.r4#0.0.1-snapshot-2 based on FHIR 4.0.1. Generated 2025-09-13
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