type: codesystemcodesystem: observation-statistics
Statistics Code
- Official URL: http://hl7.org/fhir/observation-statistics
- Version: 6.0.0
- Status: active
- Name: StatisticsCode
- Title: Statistics Code
- Publisher: HL7 (FHIR Project)
- Description: The statistical operation parameter -"statistic" codes.
- Case Sensitive: true
- Content: complete
Concepts
| Code | Display | Definition |
|---|---|---|
| average | Average | The mean of N measurements over the stated period. |
| maximum | Maximum | The maximum value of N measurements over the stated period. |
| minimum | Minimum | The minimum value of N measurements over the stated period. |
| count | Count | The [number] of valid measurements over the stated period that contributed to the other statistical outputs. |
| total-count | Total Count | The total [number] of valid measurements over the stated period, including observations that were ignored because they did not contain valid result values. |
| median | Median | The median of N measurements over the stated period. |
| std-dev | Standard Deviation | The standard deviation of N measurements over the stated period. |
| sum | Sum | The sum of N measurements over the stated period. |
| variance | Variance | The variance of N measurements over the stated period. |
| 20-percent | 20th Percentile | The 20th Percentile of N measurements over the stated period. |
| 80-percent | 80th Percentile | The 80th Percentile of N measurements over the stated period. |
| 4-lower | Lower Quartile | The lower Quartile Boundary of N measurements over the stated period. |
| 4-upper | Upper Quartile | The upper Quartile Boundary of N measurements over the stated period. |
| 4-dev | Quartile 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. |
| 5-1 | 1st 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. |
| 5-2 | 2nd 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. |
| 5-3 | 3rd 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. |
| 5-4 | 4th 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. |
| skew | Skew | 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. |
| kurtosis | Kurtosis | Kurtosis is a measure of the "tailedness" of the probability distribution of a real-valued random variable. Source: Wikipedia. |
| regression | Regression | 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. |
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>