HL7 Terminology
1.0.0 - Publication
HL7 Terminology
1.0.0 - Publication
This page is part of the HL7 Terminology (v1.0.0: 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 
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@prefix fhir: <http://hl7.org/fhir/> . @prefix owl: <http://www.w3.org/2002/07/owl#> . @prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> . @prefix xsd: <http://www.w3.org/2001/XMLSchema#> . # - resource ------------------------------------------------------------------- a fhir:CodeSystem; fhir:nodeRole fhir:treeRoot; fhir:Resource.id [ fhir:value "observation-statistics"]; fhir:Resource.meta [ fhir:Meta.lastUpdated [ fhir:value "2020-04-09T21:10:28.568+00:00"^^xsd:dateTime ] ]; fhir:DomainResource.text [ fhir:Narrative.status [ fhir:value "generated" ]; fhir:Narrative.div "<div xmlns=\"http://www.w3.org/1999/xhtml\">\n \n <h2>StatisticsCode</h2>\n \n <div>\n \n <p>The statistical operation parameter -"statistic" codes.</p>\n\n \n </div>\n \n <p>This code system http://terminology.hl7.org/CodeSystem/observation-statistics defines the following codes:</p>\n \n <table class=\"codes\">\n \n <tr>\n \n <td style=\"white-space:nowrap\">\n \n <b>Code</b>\n \n </td>\n \n <td>\n \n <b>Display</b>\n \n </td>\n \n <td>\n \n <b>Definition</b>\n \n </td>\n \n </tr>\n \n <tr>\n \n <td style=\"white-space:nowrap\">average\n \n <a name=\"observation-statistics-average\"> </a>\n \n </td>\n \n <td>Average</td>\n \n <td>The [mean](https://en.wikipedia.org/wiki/Arithmetic_mean) of N measurements over the stated period.</td>\n \n </tr>\n \n <tr>\n \n <td style=\"white-space:nowrap\">maximum\n \n <a name=\"observation-statistics-maximum\"> </a>\n \n </td>\n \n <td>Maximum</td>\n \n <td>The [maximum](https://en.wikipedia.org/wiki/Maximal_element) value of N measurements over the stated period.</td>\n \n </tr>\n \n <tr>\n \n <td style=\"white-space:nowrap\">minimum\n \n <a name=\"observation-statistics-minimum\"> </a>\n \n </td>\n \n <td>Minimum</td>\n \n <td>The [minimum](https://en.wikipedia.org/wiki/Minimal_element) value of N measurements over the stated period.</td>\n \n </tr>\n \n <tr>\n \n <td style=\"white-space:nowrap\">count\n \n <a name=\"observation-statistics-count\"> </a>\n \n </td>\n \n <td>Count</td>\n \n <td>The [number] of valid measurements over the stated period that contributed to the other statistical outputs.</td>\n \n </tr>\n \n <tr>\n \n <td style=\"white-space:nowrap\">total-count\n \n <a name=\"observation-statistics-total-count\"> </a>\n \n </td>\n \n <td>Total Count</td>\n \n <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>\n \n </tr>\n \n <tr>\n \n <td style=\"white-space:nowrap\">median\n \n <a name=\"observation-statistics-median\"> </a>\n \n </td>\n \n <td>Median</td>\n \n <td>The [median](https://en.wikipedia.org/wiki/Median) of N measurements over the stated period.</td>\n \n </tr>\n \n <tr>\n \n <td style=\"white-space:nowrap\">std-dev\n \n <a name=\"observation-statistics-std-dev\"> </a>\n \n </td>\n \n <td>Standard Deviation</td>\n \n <td>The [standard deviation](https://en.wikipedia.org/wiki/Standard_deviation) of N measurements over the stated period.</td>\n \n </tr>\n \n <tr>\n \n <td style=\"white-space:nowrap\">sum\n \n <a name=\"observation-statistics-sum\"> </a>\n \n </td>\n \n <td>Sum</td>\n \n <td>The [sum](https://en.wikipedia.org/wiki/Summation) of N measurements over the stated period.</td>\n \n </tr>\n \n <tr>\n \n <td style=\"white-space:nowrap\">variance\n \n <a name=\"observation-statistics-variance\"> </a>\n \n </td>\n \n <td>Variance</td>\n \n <td>The [variance](https://en.wikipedia.org/wiki/Variance) of N measurements over the stated period.</td>\n \n </tr>\n \n <tr>\n \n <td style=\"white-space:nowrap\">20-percent\n \n <a name=\"observation-statistics-20-percent\"> </a>\n \n </td>\n \n <td>20th Percentile</td>\n \n <td>The 20th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period.</td>\n \n </tr>\n \n <tr>\n \n <td style=\"white-space:nowrap\">80-percent\n \n <a name=\"observation-statistics-80-percent\"> </a>\n \n </td>\n \n <td>80th Percentile</td>\n \n <td>The 80th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period.</td>\n \n </tr>\n \n <tr>\n \n <td style=\"white-space:nowrap\">4-lower\n \n <a name=\"observation-statistics-4-lower\"> </a>\n \n </td>\n \n <td>Lower Quartile</td>\n \n <td>The lower [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period.</td>\n \n </tr>\n \n <tr>\n \n <td style=\"white-space:nowrap\">4-upper\n \n <a name=\"observation-statistics-4-upper\"> </a>\n \n </td>\n \n <td>Upper Quartile</td>\n \n <td>The upper [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period.</td>\n \n </tr>\n \n <tr>\n \n <td style=\"white-space:nowrap\">4-dev\n \n <a name=\"observation-statistics-4-dev\"> </a>\n \n </td>\n \n <td>Quartile Deviation</td>\n \n <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>\n \n </tr>\n \n <tr>\n \n <td style=\"white-space:nowrap\">5-1\n \n <a name=\"observation-statistics-5-1\"> </a>\n \n </td>\n \n <td>1st Quintile</td>\n \n <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>\n \n </tr>\n \n <tr>\n \n <td style=\"white-space:nowrap\">5-2\n \n <a name=\"observation-statistics-5-2\"> </a>\n \n </td>\n \n <td>2nd Quintile</td>\n \n <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>\n \n </tr>\n \n <tr>\n \n <td style=\"white-space:nowrap\">5-3\n \n <a name=\"observation-statistics-5-3\"> </a>\n \n </td>\n \n <td>3rd Quintile</td>\n \n <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>\n \n </tr>\n \n <tr>\n \n <td style=\"white-space:nowrap\">5-4\n \n <a name=\"observation-statistics-5-4\"> </a>\n \n </td>\n \n <td>4th Quintile</td>\n \n <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>\n \n </tr>\n \n <tr>\n \n <td style=\"white-space:nowrap\">skew\n \n <a name=\"observation-statistics-skew\"> </a>\n \n </td>\n \n <td>Skew</td>\n \n <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>\n \n </tr>\n \n <tr>\n \n <td style=\"white-space:nowrap\">kurtosis\n \n <a name=\"observation-statistics-kurtosis\"> </a>\n \n </td>\n \n <td>Kurtosis</td>\n \n <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>\n \n </tr>\n \n <tr>\n \n <td style=\"white-space:nowrap\">regression\n \n <a name=\"observation-statistics-regression\"> </a>\n \n </td>\n \n <td>Regression</td>\n \n <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>\n \n </tr>\n \n </table>\n \n </div>" ]; fhir:CodeSystem.url [ fhir:value "http://terminology.hl7.org/CodeSystem/observation-statistics"]; fhir:CodeSystem.identifier [ fhir:index 0; fhir:Identifier.system [ fhir:value "urn:ietf:rfc:3986" ]; fhir:Identifier.value [ fhir:value "urn:oid:2.16.840.1.113883.4.642.1.1126" ] ]; fhir:CodeSystem.version [ fhir:value "4.2.0"]; fhir:CodeSystem.name [ fhir:value "StatisticsCode"]; fhir:CodeSystem.title [ fhir:value "StatisticsCode"]; fhir:CodeSystem.status [ fhir:value "draft"]; fhir:CodeSystem.experimental [ fhir:value "false"^^xsd:boolean]; fhir:CodeSystem.date [ fhir:value "2020-04-09T21:10:28+00:00"^^xsd:dateTime]; fhir:CodeSystem.publisher [ fhir:value "HL7 (FHIR Project)"]; fhir:CodeSystem.contact [ fhir:index 0; fhir:ContactDetail.telecom [ fhir:index 0; fhir:ContactPoint.system [ fhir:value "url" ]; fhir:ContactPoint.value [ fhir:value "http://hl7.org/fhir" ] ], [ fhir:index 1; fhir:ContactPoint.system [ fhir:value "email" ]; fhir:ContactPoint.value [ fhir:value "fhir@lists.hl7.org" ] ] ]; fhir:CodeSystem.description [ fhir:value "The statistical operation parameter -\"statistic\" codes."]; fhir:CodeSystem.caseSensitive [ fhir:value "true"^^xsd:boolean]; fhir:CodeSystem.valueSet [ fhir:value "http://terminology.hl7.org/ValueSet/observation-statistics"; fhir:link <http://terminology.hl7.org/ValueSet/observation-statistics> ]; fhir:CodeSystem.content [ fhir:value "complete"]; fhir:CodeSystem.concept [ fhir:index 0; fhir:CodeSystem.concept.code [ fhir:value "average" ]; fhir:CodeSystem.concept.display [ fhir:value "Average" ]; fhir:CodeSystem.concept.definition [ fhir:value "The [mean](https://en.wikipedia.org/wiki/Arithmetic_mean) of N measurements over the stated period." ] ], [ fhir:index 1; fhir:CodeSystem.concept.code [ fhir:value "maximum" ]; fhir:CodeSystem.concept.display [ fhir:value "Maximum" ]; fhir:CodeSystem.concept.definition [ fhir:value "The [maximum](https://en.wikipedia.org/wiki/Maximal_element) value of N measurements over the stated period." ] ], [ fhir:index 2; fhir:CodeSystem.concept.code [ fhir:value "minimum" ]; fhir:CodeSystem.concept.display [ fhir:value "Minimum" ]; fhir:CodeSystem.concept.definition [ fhir:value "The [minimum](https://en.wikipedia.org/wiki/Minimal_element) value of N measurements over the stated period." ] ], [ fhir:index 3; fhir:CodeSystem.concept.code [ fhir:value "count" ]; fhir:CodeSystem.concept.display [ fhir:value "Count" ]; fhir:CodeSystem.concept.definition [ fhir:value "The [number] of valid measurements over the stated period that contributed to the other statistical outputs." ] ], [ fhir:index 4; fhir:CodeSystem.concept.code [ fhir:value "total-count" ]; fhir:CodeSystem.concept.display [ fhir:value "Total Count" ]; fhir:CodeSystem.concept.definition [ fhir:value "The total [number] of valid measurements over the stated period, including observations that were ignored because they did not contain valid result values." ] ], [ fhir:index 5; fhir:CodeSystem.concept.code [ fhir:value "median" ]; fhir:CodeSystem.concept.display [ fhir:value "Median" ]; fhir:CodeSystem.concept.definition [ fhir:value "The [median](https://en.wikipedia.org/wiki/Median) of N measurements over the stated period." ] ], [ fhir:index 6; fhir:CodeSystem.concept.code [ fhir:value "std-dev" ]; fhir:CodeSystem.concept.display [ fhir:value "Standard Deviation" ]; fhir:CodeSystem.concept.definition [ fhir:value "The [standard deviation](https://en.wikipedia.org/wiki/Standard_deviation) of N measurements over the stated period." ] ], [ fhir:index 7; fhir:CodeSystem.concept.code [ fhir:value "sum" ]; fhir:CodeSystem.concept.display [ fhir:value "Sum" ]; fhir:CodeSystem.concept.definition [ fhir:value "The [sum](https://en.wikipedia.org/wiki/Summation) of N measurements over the stated period." ] ], [ fhir:index 8; fhir:CodeSystem.concept.code [ fhir:value "variance" ]; fhir:CodeSystem.concept.display [ fhir:value "Variance" ]; fhir:CodeSystem.concept.definition [ fhir:value "The [variance](https://en.wikipedia.org/wiki/Variance) of N measurements over the stated period." ] ], [ fhir:index 9; fhir:CodeSystem.concept.code [ fhir:value "20-percent" ]; fhir:CodeSystem.concept.display [ fhir:value "20th Percentile" ]; fhir:CodeSystem.concept.definition [ fhir:value "The 20th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period." ] ], [ fhir:index 10; fhir:CodeSystem.concept.code [ fhir:value "80-percent" ]; fhir:CodeSystem.concept.display [ fhir:value "80th Percentile" ]; fhir:CodeSystem.concept.definition [ fhir:value "The 80th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period." ] ], [ fhir:index 11; fhir:CodeSystem.concept.code [ fhir:value "4-lower" ]; fhir:CodeSystem.concept.display [ fhir:value "Lower Quartile" ]; fhir:CodeSystem.concept.definition [ fhir:value "The lower [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period." ] ], [ fhir:index 12; fhir:CodeSystem.concept.code [ fhir:value "4-upper" ]; fhir:CodeSystem.concept.display [ fhir:value "Upper Quartile" ]; fhir:CodeSystem.concept.definition [ fhir:value "The upper [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period." ] ], [ fhir:index 13; fhir:CodeSystem.concept.code [ fhir:value "4-dev" ]; fhir:CodeSystem.concept.display [ fhir:value "Quartile Deviation" ]; fhir:CodeSystem.concept.definition [ fhir:value "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." ] ], [ fhir:index 14; fhir:CodeSystem.concept.code [ fhir:value "5-1" ]; fhir:CodeSystem.concept.display [ fhir:value "1st Quintile" ]; fhir:CodeSystem.concept.definition [ fhir:value "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." ] ], [ fhir:index 15; fhir:CodeSystem.concept.code [ fhir:value "5-2" ]; fhir:CodeSystem.concept.display [ fhir:value "2nd Quintile" ]; fhir:CodeSystem.concept.definition [ fhir:value "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." ] ], [ fhir:index 16; fhir:CodeSystem.concept.code [ fhir:value "5-3" ]; fhir:CodeSystem.concept.display [ fhir:value "3rd Quintile" ]; fhir:CodeSystem.concept.definition [ fhir:value "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." ] ], [ fhir:index 17; fhir:CodeSystem.concept.code [ fhir:value "5-4" ]; fhir:CodeSystem.concept.display [ fhir:value "4th Quintile" ]; fhir:CodeSystem.concept.definition [ fhir:value "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." ] ], [ fhir:index 18; fhir:CodeSystem.concept.code [ fhir:value "skew" ]; fhir:CodeSystem.concept.display [ fhir:value "Skew" ]; fhir:CodeSystem.concept.definition [ fhir:value "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)." ] ], [ fhir:index 19; fhir:CodeSystem.concept.code [ fhir:value "kurtosis" ]; fhir:CodeSystem.concept.display [ fhir:value "Kurtosis" ]; fhir:CodeSystem.concept.definition [ fhir:value "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)." ] ], [ fhir:index 20; fhir:CodeSystem.concept.code [ fhir:value "regression" ]; fhir:CodeSystem.concept.display [ fhir:value "Regression" ]; fhir:CodeSystem.concept.definition [ fhir:value "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." ] ]. # - ontology header ------------------------------------------------------------ a owl:Ontology; owl:imports fhir:fhir.ttl.
IG © 2020+ HL7 International - Vocabulary Work Group. Package hl7.terminology#1.0.0 based on FHIR 4.0.1. Generated 2020-05-09
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