StatisticsCode
draftContentcompleteURL
http://terminology.hl7.org/CodeSystem/observation-statisticsCopied!
Version0.1.0Copied!
Date2020-04-09T21:10:28+00:00PublisherHL7 (FHIR Project)DescriptionThe statistical operation parameter -"statistic" codes.
Concepts
Select a concept to view details
This code system http://terminology.hl7.org/CodeSystem/observation-statistics defines the following codes:
{
"description" : "The statistical operation parameter -\"statistic\" codes.",
"date" : "2020-04-09T21:10:28+00:00",
"meta" : {
"lastUpdated" : "2020-04-09T21:10:28.568+00:00"
},
"publisher" : "HL7 (FHIR Project)",
"content" : "complete",
"property" : null,
"name" : "StatisticsCode",
"experimental" : false,
"resourceType" : "CodeSystem",
"title" : "StatisticsCode",
"extension" : [ {
"extension" : [ {
"valueString" : "concept",
"url" : "path"
}, {
"url" : "count",
"valueInteger" : 21
} ],
"url" : "http://health-samurai.io/extensions/excised-data"
}, {
"url" : "http://health-samurai.io/extensions/source",
"valueCode" : "db"
} ],
"status" : "draft",
"id" : "f4894256-bbcf-48e5-aafa-b1127d674708",
"valueSet" : "http://terminology.hl7.org/ValueSet/observation-statistics",
"url" : "http://terminology.hl7.org/CodeSystem/observation-statistics",
"identifier" : [ {
"system" : "urn:ietf:rfc:3986",
"value" : "urn:oid:2.16.840.1.113883.4.642.1.1126"
} ],
"caseSensitive" : true,
"version" : "0.1.0",
"contact" : [ {
"telecom" : [ {
"system" : "url",
"value" : "http://hl7.org/fhir"
}, {
"system" : "email",
"value" : "fhir@lists.hl7.org"
} ]
} ],
"text" : {
"div" : "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p>This code system <code>http://terminology.hl7.org/CodeSystem/observation-statistics</code> defines the following codes:</p><table class=\"codes\"><tr><td style=\"white-space:nowrap\"><b>Code</b></td><td><b>Display</b></td><td><b>Definition</b></td></tr><tr><td style=\"white-space:nowrap\">average<a name=\"observation-statistics-average\"> </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=\"white-space:nowrap\">maximum<a name=\"observation-statistics-maximum\"> </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=\"white-space:nowrap\">minimum<a name=\"observation-statistics-minimum\"> </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=\"white-space:nowrap\">count<a name=\"observation-statistics-count\"> </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=\"white-space:nowrap\">total-count<a name=\"observation-statistics-total-count\"> </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=\"white-space:nowrap\">median<a name=\"observation-statistics-median\"> </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=\"white-space:nowrap\">std-dev<a name=\"observation-statistics-std-dev\"> </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=\"white-space:nowrap\">sum<a name=\"observation-statistics-sum\"> </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=\"white-space:nowrap\">variance<a name=\"observation-statistics-variance\"> </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=\"white-space:nowrap\">20-percent<a name=\"observation-statistics-20-percent\"> </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=\"white-space:nowrap\">80-percent<a name=\"observation-statistics-80-percent\"> </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=\"white-space:nowrap\">4-lower<a name=\"observation-statistics-4-lower\"> </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=\"white-space:nowrap\">4-upper<a name=\"observation-statistics-4-upper\"> </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=\"white-space:nowrap\">4-dev<a name=\"observation-statistics-4-dev\"> </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 = Q3-Q1) Quartile deviation or Semi-interquartile range is one-half the difference between the first and the third quartiles.</td></tr><tr><td style=\"white-space:nowrap\">5-1<a name=\"observation-statistics-5-1\"> </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=\"white-space:nowrap\">5-2<a name=\"observation-statistics-5-2\"> </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=\"white-space:nowrap\">5-3<a name=\"observation-statistics-5-3\"> </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=\"white-space:nowrap\">5-4<a name=\"observation-statistics-5-4\"> </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=\"white-space:nowrap\">skew<a name=\"observation-statistics-skew\"> </a></td><td>Skew</td><td>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).</td></tr><tr><td style=\"white-space:nowrap\">kurtosis<a name=\"observation-statistics-kurtosis\"> </a></td><td>Kurtosis</td><td>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).</td></tr><tr><td style=\"white-space:nowrap\">regression<a name=\"observation-statistics-regression\"> </a></td><td>Regression</td><td>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.</td></tr></table></div>",
"status" : "generated"
}
}