HL7 Terminology (THO)
3.1.0 - Publication
This page is part of the HL7 Terminology (v3.1.0: Release) based on FHIR R4. The current version which supercedes this version is 5.2.0. For a full list of available versions, see the Directory of published versions
Official URL: http://terminology.hl7.org/ValueSet/observation-statistics | Version: 0.2.0 | |||
Draft as of 2020-02-24 | Responsible: HL7 (FHIR Project) | Computable Name: StatisticsCode | ||
Other Identifiers: : urn:oid:2.16.840.1.113883.4.642.3.405 |
The statistical operation parameter -“statistic” codes.
References
This value set is not used here; it may be used elsewhere (e.g. specifications and/or implementations that use this content)
http://terminology.hl7.org/CodeSystem/observation-statistics
This value set contains 21 concepts
Expansion based on StatisticsCode v0.1.0 (CodeSystem)
All codes in this table are from the system http://terminology.hl7.org/CodeSystem/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. |
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. |
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. In this scheme, some codes are under other codes, and imply that the code they are under also applies |
System | 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) |
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 |
History
Date | Action | Author | Custodian | Comment |
2020-10-14 | revise | Grahame Grieve | Vocabulary WG | Reset Version after migration to UTG |
2020-05-06 | revise | Ted Klein | Vocabulary WG | Migrated to the UTG maintenance environment and publishing tooling. |