This is the Continuous Integration Build of FHIR (will be incorrect/inconsistent at times).
See the Directory of published versions
Orders and Observations Work Group  Maturity Level: 0  Informative  Use Context: Country: World 
Official URL: http://hl7.org/fhir/ValueSet/observationstatistics

Version: 6.0.0cibuild  
active as of 20230926  Computable Name: StatisticsCode  
Flags:  OID: 2.16.840.1.113883.4.642.3.405 
This value set is used in the following places:
Description Needed Here
http://hl7.org/fhir/observationstatistics
This expansion generated 26 Sep 2023
This value set contains 21 concepts
Expansion based on codesystem Statistics Code v6.0.0cibuild (CodeSystem)
Code  System  Display  Definition 
average  http://hl7.org/fhir/observationstatistics  Average  The mean of N measurements over the stated period. 
maximum  http://hl7.org/fhir/observationstatistics  Maximum  The maximum value of N measurements over the stated period. 
minimum  http://hl7.org/fhir/observationstatistics  Minimum  The minimum value of N measurements over the stated period. 
count  http://hl7.org/fhir/observationstatistics  Count  The [number] of valid measurements over the stated period that contributed to the other statistical outputs. 
totalcount  http://hl7.org/fhir/observationstatistics  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  http://hl7.org/fhir/observationstatistics  Median  The median of N measurements over the stated period. 
stddev  http://hl7.org/fhir/observationstatistics  Standard Deviation  The standard deviation of N measurements over the stated period. 
sum  http://hl7.org/fhir/observationstatistics  Sum  The sum of N measurements over the stated period. 
variance  http://hl7.org/fhir/observationstatistics  Variance  The variance of N measurements over the stated period. 
20percent  http://hl7.org/fhir/observationstatistics  20th Percentile  The 20th Percentile of N measurements over the stated period. 
80percent  http://hl7.org/fhir/observationstatistics  80th Percentile  The 80th Percentile of N measurements over the stated period. 
4lower  http://hl7.org/fhir/observationstatistics  Lower Quartile  The lower Quartile Boundary of N measurements over the stated period. 
4upper  http://hl7.org/fhir/observationstatistics  Upper Quartile  The upper Quartile Boundary of N measurements over the stated period. 
4dev  http://hl7.org/fhir/observationstatistics  Quartile Deviation  The difference between the upper and lower Quartiles is called the Interquartile range. (IQR = Q3Q1) Quartile deviation or Semiinterquartile range is onehalf the difference between the first and the third quartiles. 
51  http://hl7.org/fhir/observationstatistics  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. 
52  http://hl7.org/fhir/observationstatistics  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. 
53  http://hl7.org/fhir/observationstatistics  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. 
54  http://hl7.org/fhir/observationstatistics  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  http://hl7.org/fhir/observationstatistics  Skew  Skewness is a measure of the asymmetry of the probability distribution of a realvalued random variable about its mean. The skewness value can be positive or negative, or even undefined. Source: Wikipedia . 
kurtosis  http://hl7.org/fhir/observationstatistics  Kurtosis  Kurtosis is a measure of the "tailedness" of the probability distribution of a realvalued random variable. Source: Wikipedia . 
regression  http://hl7.org/fhir/observationstatistics  Regression  Linear regression is an approach for modeling twodimensional 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 nonvertical 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. 
See the full registry of value sets defined as part of FHIR.
Explanation of the columns that may appear on this page:
Lvl  A few code lists that FHIR defines are hierarchical  each code is assigned a level. For value sets, levels are mostly used to organize codes for user convenience, but may follow code 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 