This page is part of the HL7 Terminology (v5.0.0: 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
Draft as of 20200409 
{
"resourceType" : "CodeSystem",
"id" : "observationstatistics",
"meta" : {
"lastUpdated" : "20200409T21:10:28.568+00:00"
},
"text" : {
"status" : "generated",
"div" : "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p>This code system <code>http://terminology.hl7.org/CodeSystem/observationstatistics</code> defines the following codes:</p><table class=\"codes\"><tr><td style=\"whitespace:nowrap\"><b>Code</b></td><td><b>Display</b></td><td><b>Definition</b></td></tr><tr><td style=\"whitespace:nowrap\">average<a name=\"observationstatisticsaverage\"> </a></td><td>Average</td><td>The [mean](https://en.wikipedia.org/wiki/Arithmetic_mean) of N measurements over the stated period.</td></tr><tr><td style=\"whitespace:nowrap\">maximum<a name=\"observationstatisticsmaximum\"> </a></td><td>Maximum</td><td>The [maximum](https://en.wikipedia.org/wiki/Maximal_element) value of N measurements over the stated period.</td></tr><tr><td style=\"whitespace:nowrap\">minimum<a name=\"observationstatisticsminimum\"> </a></td><td>Minimum</td><td>The [minimum](https://en.wikipedia.org/wiki/Minimal_element) value of N measurements over the stated period.</td></tr><tr><td style=\"whitespace:nowrap\">count<a name=\"observationstatisticscount\"> </a></td><td>Count</td><td>The [number] of valid measurements over the stated period that contributed to the other statistical outputs.</td></tr><tr><td style=\"whitespace:nowrap\">totalcount<a name=\"observationstatisticstotalcount\"> </a></td><td>Total Count</td><td>The total [number] of valid measurements over the stated period, including observations that were ignored because they did not contain valid result values.</td></tr><tr><td style=\"whitespace:nowrap\">median<a name=\"observationstatisticsmedian\"> </a></td><td>Median</td><td>The [median](https://en.wikipedia.org/wiki/Median) of N measurements over the stated period.</td></tr><tr><td style=\"whitespace:nowrap\">stddev<a name=\"observationstatisticsstddev\"> </a></td><td>Standard Deviation</td><td>The [standard deviation](https://en.wikipedia.org/wiki/Standard_deviation) of N measurements over the stated period.</td></tr><tr><td style=\"whitespace:nowrap\">sum<a name=\"observationstatisticssum\"> </a></td><td>Sum</td><td>The [sum](https://en.wikipedia.org/wiki/Summation) of N measurements over the stated period.</td></tr><tr><td style=\"whitespace:nowrap\">variance<a name=\"observationstatisticsvariance\"> </a></td><td>Variance</td><td>The [variance](https://en.wikipedia.org/wiki/Variance) of N measurements over the stated period.</td></tr><tr><td style=\"whitespace:nowrap\">20percent<a name=\"observationstatistics20percent\"> </a></td><td>20th Percentile</td><td>The 20th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period.</td></tr><tr><td style=\"whitespace:nowrap\">80percent<a name=\"observationstatistics80percent\"> </a></td><td>80th Percentile</td><td>The 80th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period.</td></tr><tr><td style=\"whitespace:nowrap\">4lower<a name=\"observationstatistics4lower\"> </a></td><td>Lower Quartile</td><td>The lower [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period.</td></tr><tr><td style=\"whitespace:nowrap\">4upper<a name=\"observationstatistics4upper\"> </a></td><td>Upper Quartile</td><td>The upper [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period.</td></tr><tr><td style=\"whitespace:nowrap\">4dev<a name=\"observationstatistics4dev\"> </a></td><td>Quartile Deviation</td><td>The difference between the upper and lower [Quartiles](https://en.wikipedia.org/wiki/Quartile) is called the Interquartile range. (IQR = Q3Q1) Quartile deviation or Semiinterquartile range is onehalf the difference between the first and the third quartiles.</td></tr><tr><td style=\"whitespace:nowrap\">51<a name=\"observationstatistics51\"> </a></td><td>1st Quintile</td><td>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.</td></tr><tr><td style=\"whitespace:nowrap\">52<a name=\"observationstatistics52\"> </a></td><td>2nd Quintile</td><td>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.</td></tr><tr><td style=\"whitespace:nowrap\">53<a name=\"observationstatistics53\"> </a></td><td>3rd Quintile</td><td>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.</td></tr><tr><td style=\"whitespace:nowrap\">54<a name=\"observationstatistics54\"> </a></td><td>4th Quintile</td><td>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.</td></tr><tr><td style=\"whitespace:nowrap\">skew<a name=\"observationstatisticsskew\"> </a></td><td>Skew</td><td>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](https://en.wikipedia.org/wiki/Skewness).</td></tr><tr><td style=\"whitespace:nowrap\">kurtosis<a name=\"observationstatisticskurtosis\"> </a></td><td>Kurtosis</td><td>Kurtosis is a measure of the "tailedness" of the probability distribution of a realvalued random variable. Source: [Wikipedia](https://en.wikipedia.org/wiki/Kurtosis).</td></tr><tr><td style=\"whitespace:nowrap\">regression<a name=\"observationstatisticsregression\"> </a></td><td>Regression</td><td>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](https://en.wikipedia.org/wiki/Simple_linear_regression) This Statistic code will return both a gradient and an intercept value.</td></tr></table></div>"
},
"url" : "http://terminology.hl7.org/CodeSystem/observationstatistics",
"identifier" : [
{
"system" : "urn:ietf:rfc:3986",
"value" : "urn:oid:2.16.840.1.113883.4.642.1.1126"
}
],
"version" : "0.1.0",
"name" : "StatisticsCode",
"title" : "StatisticsCode",
"status" : "draft",
"experimental" : false,
"date" : "20200409T21:10:28+00:00",
"publisher" : "HL7 (FHIR Project)",
"contact" : [
{
"telecom" : [
{
"system" : "url",
"value" : "http://hl7.org/fhir"
},
{
"system" : "email",
"value" : "fhir@lists.hl7.org"
}
]
}
],
"description" : "The statistical operation parameter \"statistic\" codes.",
"caseSensitive" : true,
"valueSet" : "http://terminology.hl7.org/ValueSet/observationstatistics",
"content" : "complete",
"concept" : [
{
"code" : "average",
"display" : "Average",
"definition" : "The [mean](https://en.wikipedia.org/wiki/Arithmetic_mean) of N measurements over the stated period."
},
{
"code" : "maximum",
"display" : "Maximum",
"definition" : "The [maximum](https://en.wikipedia.org/wiki/Maximal_element) value of N measurements over the stated period."
},
{
"code" : "minimum",
"display" : "Minimum",
"definition" : "The [minimum](https://en.wikipedia.org/wiki/Minimal_element) value of N measurements over the stated period."
},
{
"code" : "count",
"display" : "Count",
"definition" : "The [number] of valid measurements over the stated period that contributed to the other statistical outputs."
},
{
"code" : "totalcount",
"display" : "Total Count",
"definition" : "The total [number] of valid measurements over the stated period, including observations that were ignored because they did not contain valid result values."
},
{
"code" : "median",
"display" : "Median",
"definition" : "The [median](https://en.wikipedia.org/wiki/Median) of N measurements over the stated period."
},
{
"code" : "stddev",
"display" : "Standard Deviation",
"definition" : "The [standard deviation](https://en.wikipedia.org/wiki/Standard_deviation) of N measurements over the stated period."
},
{
"code" : "sum",
"display" : "Sum",
"definition" : "The [sum](https://en.wikipedia.org/wiki/Summation) of N measurements over the stated period."
},
{
"code" : "variance",
"display" : "Variance",
"definition" : "The [variance](https://en.wikipedia.org/wiki/Variance) of N measurements over the stated period."
},
{
"code" : "20percent",
"display" : "20th Percentile",
"definition" : "The 20th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period."
},
{
"code" : "80percent",
"display" : "80th Percentile",
"definition" : "The 80th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period."
},
{
"code" : "4lower",
"display" : "Lower Quartile",
"definition" : "The lower [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period."
},
{
"code" : "4upper",
"display" : "Upper Quartile",
"definition" : "The upper [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period."
},
{
"code" : "4dev",
"display" : "Quartile Deviation",
"definition" : "The difference between the upper and lower [Quartiles](https://en.wikipedia.org/wiki/Quartile) is called the Interquartile range. (IQR = Q3Q1) Quartile deviation or Semiinterquartile range is onehalf the difference between the first and the third quartiles."
},
{
"code" : "51",
"display" : "1st Quintile",
"definition" : "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."
},
{
"code" : "52",
"display" : "2nd Quintile",
"definition" : "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."
},
{
"code" : "53",
"display" : "3rd Quintile",
"definition" : "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."
},
{
"code" : "54",
"display" : "4th Quintile",
"definition" : "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."
},
{
"code" : "skew",
"display" : "Skew",
"definition" : "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](https://en.wikipedia.org/wiki/Skewness)."
},
{
"code" : "kurtosis",
"display" : "Kurtosis",
"definition" : "Kurtosis is a measure of the \"tailedness\" of the probability distribution of a realvalued random variable. Source: [Wikipedia](https://en.wikipedia.org/wiki/Kurtosis)."
},
{
"code" : "regression",
"display" : "Regression",
"definition" : "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](https://en.wikipedia.org/wiki/Simple_linear_regression) This Statistic code will return both a gradient and an intercept value."
}
]
}
IG © 2020+ HL7 International  Vocabulary Work Group. Package hl7.terminology#5.0.0 based on FHIR 4.0.1. Generated 20221104
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