Generated Narrative: CodeSystem observation-statistics

Last updated: 2020-04-09 21:10:28+0000

This case-sensitive code system http://terminology.hl7.org/CodeSystem/observation-statistics defines the following codes:

CodeDisplayDefinition
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.

<status value="draft"/> <experimental value="false"/> <date value="2020-04-09T21:10:28+00:00"/> <publisher value="Health Level Seven International"/> <contact> <telecom> <system value="url"/> <value value="http://hl7.org"/> </telecom> <telecom> <system value="email"/> <value value="hq@HL7.org"/> </telecom> </contact> <description value="The statistical operation parameter -"statistic" codes."/> <copyright value="This material derives from the HL7 Terminology (THO). THO is copyright ©1989+ Health Level Seven International and is made available under the CC0 designation. For more licensing information see: https://terminology.hl7.org/license.html"/> <caseSensitive value="true"/> <valueSet value="http://terminology.hl7.org/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>