Release 5 Ballot

This page is part of the FHIR Specification (v5.0.0-ballot: R5 Ballot - see ballot notes). The current version which supercedes this version is 5.0.0. For a full list of available versions, see the Directory of published versions . Page versions: R5 R4B R4 R3

4.3.2.182 CodeSystem http://hl7.org/fhir/observation-statistics

Orders and Observations icon

Work Group

Maturity Level: 0

Informative

Use Context: Any

This is a code system defined by the FHIR project.

Summary

Defining URL: http://hl7.org/fhir/observation-statistics

Version: 5.0.0-ballot

Name: StatisticsCode

Title:

Status: active

Definition:

Committee: Orders and Observations Work Group

OID: 2.16.840.1.113883.4.642.4.2100 (for OID based terminology systems)

Flags: CaseSensitive, Complete

This Code system is used in the following value sets:

ValueSet: StatisticsCode (Description Needed Here)

4.3.2.182.1 Content

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

Code	Display	Definition	Copy
average	Average	The [mean](https://en.wikipedia.org/wiki/Arithmetic_mean) of N measurements over the stated period.
maximum	Maximum	The [maximum](https://en.wikipedia.org/wiki/Maximal_element) value of N measurements over the stated period.
minimum	Minimum	The [minimum](https://en.wikipedia.org/wiki/Minimal_element) 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](https://en.wikipedia.org/wiki/Median) of N measurements over the stated period.
std-dev	Standard Deviation	The [standard deviation](https://en.wikipedia.org/wiki/Standard_deviation) of N measurements over the stated period.
sum	Sum	The [sum](https://en.wikipedia.org/wiki/Summation) of N measurements over the stated period.
variance	Variance	The [variance](https://en.wikipedia.org/wiki/Variance) of N measurements over the stated period.
20-percent	20th Percentile	The 20th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period.
80-percent	80th Percentile	The 80th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period.
4-lower	Lower Quartile	The lower [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period.
4-upper	Upper Quartile	The upper [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period.
4-dev	Quartile Deviation	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.
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](https://en.wikipedia.org/wiki/Skewness).
kurtosis	Kurtosis	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).
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](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:

Level

A few code lists that FHIR defines are hierarchical - each code is assigned a level. See Code System for further information.

Source

The source of the definition of the code (when the value set draws in codes defined elsewhere)

Code

The code (used as the code in the resource instance). If the code is in italics, this indicates that the code is not selectable ('Abstract')

Display

The 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

Definition

An explanation of the meaning of the concept

Comments

Additional notes about how to use the code