FHIR IG analytics| Package | hl7.fhir.uv.xver-r4.r4b |
| Resource Type | CodeSystem |
| Id | CodeSystem-observation-statistics.json |
| FHIR Version | R4B |
No resources found
No resources found
Note: links and images are rebased to the (stated) source
Generated Narrative: CodeSystem observation-statistics
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. |
FHIR
FHIRsmith{
"resourceType": "CodeSystem",
"id": "observation-statistics",
"text": {
"status": "generated",
"div": "<!-- snip (see above) -->"
},
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"url": "http://terminology.hl7.org/CodeSystem/observation-statistics",
"version": "4.0.1",
"name": "StatisticsCode",
"title": "StatisticsCode",
"status": "draft",
"experimental": false,
"date": "2019-11-01T08:29:23+10:00",
"publisher": "FHIR Infrastructure",
"contact": [
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"description": "The statistical operation parameter -\"statistic\" codes.",
"jurisdiction": [
{
"coding": [
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"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": "total-count",
"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": "std-dev",
"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": "20-percent",
"display": "20th Percentile",
"definition": "The 20th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period."
},
{
"code": "80-percent",
"display": "80th Percentile",
"definition": "The 80th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period."
},
{
"code": "4-lower",
"display": "Lower Quartile",
"definition": "The lower [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period."
},
{
"code": "4-upper",
"display": "Upper Quartile",
"definition": "The upper [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period."
},
{
"code": "4-dev",
"display": "Quartile Deviation",
"definition": "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."
},
{
"code": "5-1",
"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": "5-2",
"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": "5-3",
"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": "5-4",
"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 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)."
},
{
"code": "kurtosis",
"display": "Kurtosis",
"definition": "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)."
},
{
"code": "regression",
"display": "Regression",
"definition": "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."
}
]
}