HL7 Terminology
1.0.0 - Publication

This page is part of the HL7 Terminology (v1.0.0: Release) based on FHIR R4. This is the current published version. For a full list of available versions, see the Directory of published versions

StatisticsCode

Summary

Defining URL:http://terminology.hl7.org/CodeSystem/observation-statistics
Version:4.2.0
Name:StatisticsCode
Title:StatisticsCode
Status:draft
Content:All the concepts defined by the code system are included in the code system resource
Definition:

The statistical operation parameter -"statistic" codes.

Publisher:HL7 (FHIR Project)
OID:2.16.840.1.113883.4.642.1.1126 (for OID based terminology systems)
Content Mode:Complete
Value Set:http://terminology.hl7.org/ValueSet/observation-statistics ( is the value set for all codes in this code system)
Source Resource:XML / JSON / Turtle

This Code system is referenced in the content logical definition of the following value sets:

StatisticsCode

The statistical operation parameter -"statistic" codes.

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

CodeDisplayDefinition
average AverageThe [mean](https://en.wikipedia.org/wiki/Arithmetic_mean) of N measurements over the stated period.
maximum MaximumThe [maximum](https://en.wikipedia.org/wiki/Maximal_element) value of N measurements over the stated period.
minimum MinimumThe [minimum](https://en.wikipedia.org/wiki/Minimal_element) value of N measurements over the stated period.
count CountThe [number] of valid measurements over the stated period that contributed to the other statistical outputs.
total-count Total CountThe total [number] of valid measurements over the stated period, including observations that were ignored because they did not contain valid result values.
median MedianThe [median](https://en.wikipedia.org/wiki/Median) of N measurements over the stated period.
std-dev Standard DeviationThe [standard deviation](https://en.wikipedia.org/wiki/Standard_deviation) of N measurements over the stated period.
sum SumThe [sum](https://en.wikipedia.org/wiki/Summation) of N measurements over the stated period.
variance VarianceThe [variance](https://en.wikipedia.org/wiki/Variance) of N measurements over the stated period.
20-percent 20th PercentileThe 20th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period.
80-percent 80th PercentileThe 80th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period.
4-lower Lower QuartileThe lower [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period.
4-upper Upper QuartileThe upper [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period.
4-dev Quartile DeviationThe 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.
5-1 1st 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.
5-2 2nd 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.
5-3 3rd 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.
5-4 4th 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.
skew SkewSkewness 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).
kurtosis KurtosisKurtosis is a measure of the "tailedness" of the probability distribution of a real-valued random variable. Source: [Wikipedia](https://en.wikipedia.org/wiki/Kurtosis).
regression RegressionLinear 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.

History

DateActionAuthorCustodianComment
2020-05-06reviseTed KleinVocabulary WGMigrated to the UTG maintenance environment and publishing tooling.