Terminology
This
page
is
part
of
the
FHIR
Specification
(v3.0.2:
STU
3).
(v3.5.0:
R4
Ballot
#2).
The
current
version
which
supercedes
this
version
is
5.0.0
.
For
a
full
list
of
available
versions,
see
the
Directory
of
published
versions
.
Page
versions:
R5
R4B
R4
R3
|
Work
Group
|
Maturity Level : 0 | Informative | Use Context : Any |
This is a value set defined by the FHIR project.
Summary
| Defining URL: | http://hl7.org/fhir/ValueSet/observation-statistics |
| Version: | 3.5.0 |
| Name: | StatisticsCode |
| Title: | StatisticsCode |
| Definition: |
The
statistical
operation
parameter
|
| Committee: |
Orders
and
Observations
Work
Group
|
| OID: |
|
| Source Resource | XML / JSON |
This value set is used in the following places:
This value set includes codes from the following code systems:
http://hl7.org/fhir/observation-statistics
http://terminology.hl7.org/CodeSystem/observation-statistics
This
expansion
generated
19
Apr
2017
Aug
2018
This value set contains 21 concepts
Expansion
based
on
http://hl7.org/fhir/observation-statistics
http://terminology.hl7.org/CodeSystem/observation-statistics
version
3.0.2
3.5.0
All
codes
from
system
http://hl7.org/fhir/observation-statistics
http://terminology.hl7.org/CodeSystem/observation-statistics
| Code | Display | Definition |
| average | Average |
The
[mean](https://en.wikipedia.org/wiki/Arithmetic_mean)
of
N
measurements
over
the
stated
|
| maximum | Maximum |
The
[maximum](https://en.wikipedia.org/wiki/Maximal_element)
value
of
N
measurements
over
the
stated
|
| minimum | Minimum |
The
[minimum](https://en.wikipedia.org/wiki/Minimal_element)
value
of
N
measurements
over
the
stated
|
| count | Count |
The
[number]
of
valid
measurements
over
the
stated
period
that
contributed
to
the
other
statistical
|
|
|
Total Count |
The
total
[number]
of
valid
measurements
over
the
stated
period,
including
observations
that
were
ignored
because
they
did
not
contain
valid
result
|
| median | Median |
The
[median](https://en.wikipedia.org/wiki/Median)
of
N
measurements
over
the
stated
|
| std-dev | Standard Deviation |
The
[standard
deviation](https://en.wikipedia.org/wiki/Standard_deviation)
of
N
measurements
over
the
stated
|
| sum | Sum |
The
[sum](https://en.wikipedia.org/wiki/Summation)
of
N
measurements
over
the
stated
|
| variance | Variance |
The
[variance](https://en.wikipedia.org/wiki/Variance)
of
N
measurements
over
the
stated
|
| 20-percent | 20th Percentile |
The
20th
[Percentile](https://en.wikipedia.org/wiki/Percentile)
of
N
measurements
over
the
stated
|
| 80-percent | 80th Percentile |
The
80th
[Percentile](https://en.wikipedia.org/wiki/Percentile)
of
N
measurements
over
the
stated
|
| 4-lower | Lower Quartile |
The
lower
[Quartile](https://en.wikipedia.org/wiki/Quartile)
Boundary
of
N
measurements
over
the
stated
|
| 4-upper | Upper Quartile |
The
upper
[Quartile](https://en.wikipedia.org/wiki/Quartile)
Boundary
of
N
measurements
over
the
stated
|
| 4-dev | Quartile Deviation | 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. |
| 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
|
| 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
|
| 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
|
| 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
|
| 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:
|
| kurtosis | Kurtosis |
Kurtosis
is
a
measure
of
the
|
| 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](https://en.wikipedia.org/wiki/Simple_linear_regression) This Statistic code will return both a gradient and an intercept value. |
See the full registry of value sets defined as part of FHIR.
Explanation of the columns that may appear on this page:
|
|
A
few
code
lists
that
FHIR
defines
are
hierarchical
-
each
code
is
assigned
a
level.
|
| Source | The source of the definition of the code (when the value set draws in codes defined elsewhere) |
| Code | The code (used as the code in the resource instance). If the code is in italics, this indicates that the code is not selectable ('Abstract') |
| Display | The display (used in the display element of a Coding ). If there is no display, implementers should not simply display the code, but map the concept into their application |
| Definition | An explanation of the meaning of the concept |
| Comments | Additional notes about how to use the code |
®©
HL7.org
2011+.
FHIR
Release
3
(STU;
v3.0.2-11200)
Mixed
Nomative/Trial
Use
Ballot
#2
(v3.5.0-14907)
generated
on
Thurs,
Oct
24,
2019
11:53+1100.
Sun,
Aug
19,
2018
21:52+1000.
QA
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