Release 4B Snapshot #1

This page is part of the FHIR Specification v4.3.0-snapshot1: R4B Snapshot to support the Jan 2022 Connectathon. About the R4B version of FHIR. The current officially released version is 4.3.0. For a full list of available versions, see the Directory of published versions . Page versions: R5 R4B R4 R3

4.3.14.194 Code System http://hl7.org/fhir/observation-statistics

Orders and Observations Work Group Maturity Level: 0Informative Use Context: Any

This is a code system defined by the FHIR project.

Summary

Defining URL:http://hl7.org/fhir/observation-statistics
Version:4.3.0-snapshot1
Name:StatisticsCode
Title:
Definition:
Committee:Orders and Observations Work Group
OID:2.16.840.1.113883.4.642.1.406 (for OID based terminology systems)
Source ResourceXML / JSON

This Code system is used in the following value sets:

4.3.14.194.1 Content

This code system http://hl7.org/fhir/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.

 

See the full registry of code systems defined as part of FHIR.

Explanation of the columns that may appear on this page:

LevelA few code lists that FHIR defines are hierarchical - each code is assigned a level. See Code System for further information.
SourceThe source of the definition of the code (when the value set draws in codes defined elsewhere)
CodeThe code (used as the code in the resource instance). If the code is in italics, this indicates that the code is not selectable ('Abstract')
DisplayThe display (used in the display element of a Coding). If there is no display, implementers should not simply display the code, but map the concept into their application
DefinitionAn explanation of the meaning of the concept
CommentsAdditional notes about how to use the code