HL7 Terminology (THO)
5.5.0 - Continuous Process Integration (ci build)
HL7 Terminology (THO), published by HL7 International - Vocabulary Work Group. This guide is not an authorized publication; it is the continuous build for version 5.5.0 built by the FHIR (HL7® FHIR® Standard) CI Build. This version is based on the current content of https://github.com/HL7/UTG/ and changes regularly. See the Directory of published versions
Official URL: http://terminology.hl7.org/CodeSystem/observation-statistics | Version: 1.0.0 | |||
Draft as of 2020-04-09 | Responsible: Health Level Seven International | Computable Name: StatisticsCode | ||
Other Identifiers: urn:ietf:rfc:3986#Uniform Resource Identifier (URI)#urn:oid:2.16.840.1.113883.4.642.1.1126 | ||||
Copyright/Legal: This material derives from the HL7 Terminology (THO). THO is copyright ©1989+ Health Level Seven International and is made available under the CC0 designation. For more licensing information see: https://terminology.hl7.org/license |
The statistical operation parameter -“statistic” codes.
This Code system is referenced in the content logical definition of the following value sets:
This case-sensitive code system http://terminology.hl7.org/CodeSystem/observation-statistics
defines the following codes:
Code | Display | Definition |
average | Average | The mean of N measurements over the stated period. |
maximum | Maximum | The maximum value of N measurements over the stated period. |
minimum | Minimum | The minimum 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 of N measurements over the stated period. |
std-dev | Standard Deviation | The standard deviation of N measurements over the stated period. |
sum | Sum | The sum of N measurements over the stated period. |
variance | Variance | The variance of N measurements over the stated period. |
20-percent | 20th Percentile | The 20th Percentile of N measurements over the stated period. |
80-percent | 80th Percentile | The 80th Percentile of N measurements over the stated period. |
4-lower | Lower Quartile | The lower Quartile Boundary of N measurements over the stated period. |
4-upper | Upper Quartile | The upper Quartile Boundary of N measurements over the stated period. |
4-dev | Quartile Deviation | The difference between the upper and lower Quartiles 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. |
kurtosis | Kurtosis | Kurtosis is a measure of the "tailedness" of the probability distribution of a real-valued random variable. Source: Wikipedia. |
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 This Statistic code will return both a gradient and an intercept value. |
History
Date | Action | Author | Custodian | Comment |
2023-11-14 | revise | Marc Duteau | TSMG | Add standard copyright and contact to internal content; up-476 |
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. |