FHIR Release 3 (STU) R4 Ballot #1 (Mixed Normative/Trial use)

This page is part of the FHIR Specification (v3.0.2: STU 3). (v3.3.0: R4 Ballot 2). 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

4.3.1.394 4.3.1.405 Value Set http://hl7.org/fhir/ValueSet/observation-statistics

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

This is a value set defined by the FHIR project.

Summary

Defining URL: http://hl7.org/fhir/ValueSet/observation-statistics
Name: StatisticsCode
Definition:

The statistical operation parameter -"statistic" - -"statistic" codes

Committee: Orders and Observations Work Group
OID: 2.16.840.1.113883.4.642.3.394 2.16.840.1.113883.4.642.3.405 (for OID based terminology systems)
Source Resource XML / JSON

This value set is used in the following places:

  • This value set is the designated 'entire code system' value set for StatisticsCode

4.3.1.394.1 4.3.1.405.1 Content Logical Definition

This value set includes codes from the following code systems:

 

4.3.1.394.2 4.3.1.405.2 Expansion

This expansion generated 19 03 Apr 2017 2018

This value set contains 21 concepts

Expansion based on http://hl7.org/fhir/observation-statistics version 3.0.2 3.3.0

All codes from system http://hl7.org/fhir/observation-statistics

Code Display Definition
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
totalcount 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" "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 value sets defined as part of FHIR.

Explanation of the columns that may appear on this page:

Level Lvl A few code lists that FHIR defines are hierarchical - each code is assigned a level. In this scheme, some codes For value sets, levels are under other codes, and imply that the mostly used to organize codes for user convenience, but may follow code they are under also applies system hierarchy - 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