StatisticsCode
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This code system http://hl7.org/fhir/observation-statistics defines the following codes:
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"div" : "<div xmlns=\"http://www.w3.org/1999/xhtml\">\n <p>This code system http://hl7.org/fhir/observation-statistics defines the following codes:</p>\n <table class=\"codes\">\n <tr>\n <td style=\"white-space:nowrap\">\n <b>Code</b>\n </td>\n <td>\n <b>Display</b>\n </td>\n <td>\n <b>Definition</b>\n </td>\n </tr>\n <tr>\n <td style=\"white-space:nowrap\">average\n <a name=\"observation-statistics-average\"> </a>\n </td>\n <td>Average</td>\n <td>The [mean](https://en.wikipedia.org/wiki/Arithmetic_mean) of N measurements over the stated period.</td>\n </tr>\n <tr>\n <td style=\"white-space:nowrap\">maximum\n <a name=\"observation-statistics-maximum\"> </a>\n </td>\n <td>Maximum</td>\n <td>The [maximum](https://en.wikipedia.org/wiki/Maximal_element) value of N measurements over the stated period.</td>\n </tr>\n <tr>\n <td style=\"white-space:nowrap\">minimum\n <a name=\"observation-statistics-minimum\"> </a>\n </td>\n <td>Minimum</td>\n <td>The [minimum](https://en.wikipedia.org/wiki/Minimal_element) value of N measurements over the stated period.</td>\n </tr>\n <tr>\n <td style=\"white-space:nowrap\">count\n <a name=\"observation-statistics-count\"> </a>\n </td>\n <td>Count</td>\n <td>The [number] of valid measurements over the stated period that contributed to the other statistical outputs.</td>\n </tr>\n <tr>\n <td style=\"white-space:nowrap\">total-count\n <a name=\"observation-statistics-total-count\"> </a>\n </td>\n <td>Total Count</td>\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 </tr>\n <tr>\n <td style=\"white-space:nowrap\">median\n <a name=\"observation-statistics-median\"> </a>\n </td>\n <td>Median</td>\n <td>The [median](https://en.wikipedia.org/wiki/Median) of N measurements over the stated period.</td>\n </tr>\n <tr>\n <td style=\"white-space:nowrap\">std-dev\n <a name=\"observation-statistics-std-dev\"> </a>\n </td>\n <td>Standard Deviation</td>\n <td>The [standard deviation](https://en.wikipedia.org/wiki/Standard_deviation) of N measurements over the stated period.</td>\n </tr>\n <tr>\n <td style=\"white-space:nowrap\">sum\n <a name=\"observation-statistics-sum\"> </a>\n </td>\n <td>Sum</td>\n <td>The [sum](https://en.wikipedia.org/wiki/Summation) of N measurements over the stated period.</td>\n </tr>\n <tr>\n <td style=\"white-space:nowrap\">variance\n <a name=\"observation-statistics-variance\"> </a>\n </td>\n <td>Variance</td>\n <td>The [variance](https://en.wikipedia.org/wiki/Variance) of N measurements over the stated period.</td>\n </tr>\n <tr>\n <td style=\"white-space:nowrap\">20-percent\n <a name=\"observation-statistics-20-percent\"> </a>\n </td>\n <td>20th Percentile</td>\n <td>The 20th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period.</td>\n </tr>\n <tr>\n <td style=\"white-space:nowrap\">80-percent\n <a name=\"observation-statistics-80-percent\"> </a>\n </td>\n <td>80th Percentile</td>\n <td>The 80th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period.</td>\n </tr>\n <tr>\n <td style=\"white-space:nowrap\">4-lower\n <a name=\"observation-statistics-4-lower\"> </a>\n </td>\n <td>Lower Quartile</td>\n <td>The lower [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period.</td>\n </tr>\n <tr>\n <td style=\"white-space:nowrap\">4-upper\n <a name=\"observation-statistics-4-upper\"> </a>\n </td>\n <td>Upper Quartile</td>\n <td>The upper [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period.</td>\n </tr>\n <tr>\n <td style=\"white-space:nowrap\">4-dev\n <a name=\"observation-statistics-4-dev\"> </a>\n </td>\n <td>Quartile Deviation</td>\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 </tr>\n <tr>\n <td style=\"white-space:nowrap\">5-1\n <a name=\"observation-statistics-5-1\"> </a>\n </td>\n <td>1st Quintile</td>\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 </tr>\n <tr>\n <td style=\"white-space:nowrap\">5-2\n <a name=\"observation-statistics-5-2\"> </a>\n </td>\n <td>2nd Quintile</td>\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 </tr>\n <tr>\n <td style=\"white-space:nowrap\">5-3\n <a name=\"observation-statistics-5-3\"> </a>\n </td>\n <td>3rd Quintile</td>\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 </tr>\n <tr>\n <td style=\"white-space:nowrap\">5-4\n <a name=\"observation-statistics-5-4\"> </a>\n </td>\n <td>4th Quintile</td>\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 </tr>\n <tr>\n <td style=\"white-space:nowrap\">skew\n <a name=\"observation-statistics-skew\"> </a>\n </td>\n <td>Skew</td>\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 </tr>\n <tr>\n <td style=\"white-space:nowrap\">kurtosis\n <a name=\"observation-statistics-kurtosis\"> </a>\n </td>\n <td>Kurtosis</td>\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 </tr>\n <tr>\n <td style=\"white-space:nowrap\">regression\n <a name=\"observation-statistics-regression\"> </a>\n </td>\n <td>Regression</td>\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 </tr>\n </table>\n </div>",
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}| Title | Version | Status | Publisher | Date | Concepts | Content |
|---|---|---|---|---|---|---|
| Statistics Code | 5.0.0 | - | HL7 (FHIR Project) | - | 21 | complete |