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Type
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Reference
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Content
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web
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snomed.info
|
org/fhir/us/vitals/StructureDefinition/MeasurementSettingExt
: SNOMED CT: 264362003
(Dwelling)
|
|
web
|
www.ohsu.edu
|
contact
: Oregon Health and Science University: https://www.ohsu.edu/
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snomed.info
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385765002
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browser.ihtsdotools.org
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281090004
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browser.ihtsdotools.org
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304507003
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browser.ihtsdotools.org
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304549008
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browser.ihtsdotools.org
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386291006
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386292004
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386373004
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browser.ihtsdotools.org
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10741871000119101
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browser.ihtsdotools.org
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10755041000119100
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browser.ihtsdotools.org
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15167005
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191811004
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browser.ihtsdotools.org
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browser.ihtsdotools.org
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713862009
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snomed.info
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github.com
|
|
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web
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github.com
|
OHSU Hypertension Implementation Guide, published by Oregon Health and Science University. This guide is not an authorized publication; it is the continuous build for version 0.1.0 built by the FHIR (HL7® FHIR® Standard) CI Build. This version is based on the current content of https://github.com/OHSUCMP/htnu18ig/
and changes regularly. See the Directory of published versions
|
|
web
|
www.ohsu.edu
|
IG © 2020+ Oregon Health and Science University
. Package hl7.fhir.us.ohsuhypertensionig#0.1.0 based on FHIR 4.0.1
. Generated 2026-02-19
Links: Table of Contents |
QA Report
| Version History |
|
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web
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713862009
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web
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snomed.info
|
714829008
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web
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snomed.info
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7200002
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web
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snomed.info
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97571000119109
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web
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snomed.info
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10725009
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web
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snomed.info
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111438007
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|
web
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snomed.info
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1201005
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web
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snomed.info
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123799005
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web
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snomed.info
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123800009
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web
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snomed.info
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14973001
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web
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snomed.info
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169465000
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web
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snomed.info
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193003
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web
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snomed.info
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194783001
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web
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snomed.info
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194785008
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web
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snomed.info
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194788005
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web
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snomed.info
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194791005
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web
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snomed.info
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19769006
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web
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snomed.info
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23130000
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web
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snomed.info
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28119000
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web
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snomed.info
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31992008
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web
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snomed.info
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32916005
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web
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snomed.info
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371125006
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web
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snomed.info
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38481006
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web
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snomed.info
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39018007
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web
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snomed.info
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397748008
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web
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snomed.info
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427889009
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web
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snomed.info
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428575007
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web
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snomed.info
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429198000
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web
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snomed.info
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429457004
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web
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snomed.info
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46481004
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web
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snomed.info
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48146000
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web
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snomed.info
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49220004
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snomed.info
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50490005
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snomed.info
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52698002
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snomed.info
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56218007
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snomed.info
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57684003
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snomed.info
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59621000
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snomed.info
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59720008
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62240004
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65518004
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66610008
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70272006
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78544004
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84094009
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github.com
|
CQF Ruler
is a
HAPI FHIR
Server implementation with extensions built-in to implement FHIR's
Clinical Reasoning Module
, allowing it to execute
CQL
.
|
|
web
|
hapifhir.io
|
CQF Ruler
is a
HAPI FHIR
Server implementation with extensions built-in to implement FHIR's
Clinical Reasoning Module
, allowing it to execute
CQL
.
|
|
web
|
git-scm.com
|
To install CQF Ruler, use
git
to execute the following:
/git
$ git clone https://github.com/DBCG/cqf-ruler.git
This will clone the current version of CQF Ruler to the folder in which the above command was executed.
|
|
web
|
maven.apache.org
|
To run CQF Ruler, use
Apache Maven
to execute the following:
/git/cqf-ruler
$ mvn -Djetty.port=8080 jetty:run -am --projects cqf-ruler-r4
This will execute the CQF Ruler service, using its FHIR R4 configuration, on
localhost
port
8080
.
|
|
web
|
github.com
|
Note that at the time of this writing, CQF Ruler
must
be run on port 8080 in order for CDS Services to operate correctly. See
this issue
documented on CQF Ruler's bug tracker for details.
|
|
web
|
github.com
|
To configure CQF Ruler with artifacts in this Implementation Guide, use the
PopulateCQFRuler.py
script found in this IG's
input/
folder:
/git/htnu18ig/input
$ python PopulateCQFRuler.py
CQF Ruler URL = http://localhost:8080/cqf-ruler-r4/fhir/
processing valueset-2.16.840.1.113762.1.4.1032.10.json
processing valueset-2.16.840.1.113762.1.4.1032.124.json
processing valueset-2.16.840.1.113762.1.4.1047.511.json
processing valueset-2.16.840.1.113762.1.4.1104.2.json
processing valueset-2.16.840.1.113762.1.4.1108.15.json
processing valueset-2.16.840.1.113762.1.4.1116.418.json
processing valueset-2.16.840.1.113762.1.4.1116.420.json
processing valueset-2.16.840.1.113762.1.4.1146.1330.json
processing valueset-2.16.840.1.113762.1.4.1178.10.json
processing valueset-2.16.840.1.113762.1.4.1195.111.json
processing valueset-2.16.840.1.113762.1.4.1222.24.json
processing valueset-2.16.840.1.113883.3.3157.4012.json
processing valueset-2.16.840.1.113883.3.464.1003.106.11.1030.json
processing valueset-2.16.840.1.113883.3.464.1003.195.12.1003.json
processing valueset-2.16.840.1.113883.3.526.2.1045.json
processing valueset-2.16.840.1.113883.3.526.2.422.json
processing valueset-2.16.840.1.113883.3.526.2.590.json
processing valueset-2.16.840.1.113883.3.526.3.378.json
processing valueset-2.16.840.1.113883.3.526.3.509.json
processing valueset-2.16.840.1.113883.3.600.1.1490.json
processing valueset-2.16.840.1.113883.3.600.2012.json
processing library-AdverseEvents.json
processing library-FHIR-ModelInfo.json
processing library-FHIRHelpers.json
processing library-Hypertension.json
processing library-HypertensiveEmergency.json
processing library-Monitoring.json
processing library-NonPharmacologicIntervention.json
processing library-OHSUHTNCommon.json
processing library-Pharma.json
processing plandefinition-AdverseEvents.json
processing plandefinition-Hypertension.json
processing plandefinition-HypertensiveEmergency.json
processing plandefinition-Monitoring.json
processing plandefinition-NonPharmacologicIntervention.json
processing plandefinition-Pharma.json
processing cqf-tooling.json
/git/htnu18ig/input
$
|
|
web
|
fhir.epic.com
|
This is done in large part due to the environment in which this system was developed, which employs a FHIR server backed by an Epic system. At the time of development, Epic requires a
ResearchStudy FHIR ID
to be included in any AdverseEvent searches, which in the context of our usage both doesn't make sense, and we don't have any such FHIR IDs to reference, making searching for all AdverseEvent resources for a given Patient impossible. In fact, an
error is thrown by the FHIR server if a study FHIR ID isn't included on an AdverseEvent search, which cascades through CQF Ruler causing the Recommendation execution to crash. See
Epic's FHIR API Specification for AdverseEvent.Search (R4)
for details.
|
|
web
|
github.com
|
The client application developed alongside this Implementation Guide ( COACH
) uses
Google Gson
to deserialize JSON objects produced by CQF Ruler into Java Objects for further processing. See
this code fragment
for technical details relating to how the JSON is deserialized and processed.
|
|
web
|
github.com
|
The client application developed alongside this Implementation Guide ( COACH
) uses
Google Gson
to deserialize JSON objects produced by CQF Ruler into Java Objects for further processing. See
this code fragment
for technical details relating to how the JSON is deserialized and processed.
|
|
web
|
github.com
|
The client application developed alongside this Implementation Guide ( COACH
) uses
Google Gson
to deserialize JSON objects produced by CQF Ruler into Java Objects for further processing. See
this code fragment
for technical details relating to how the JSON is deserialized and processed.
|
|
web
|
mustache.github.io
|
Note:
All data serialized into the Card response is processed by the client application through the
Mustache templating engine
, in order to tailor the displayed text to the appropriate
Audience
, either
patient
or
careTeam
. That is, when a user logs into the client application via a patient
context, any text enclosed within
{{#careTeam}}...{{/careTeam}}
will be discarded, prior to display. Similarly, when a user logs into the client application via an EHR
context, any text enclosed within
{{#patient}}...{{/patient}}
will be discarded, prior to display.
|
|
web
|
github.com
|
Note:
All data serialized into the Card response is processed by the client application through the
Mustache templating engine
, in order to tailor the displayed text to the appropriate
Audience
, either
patient
or
careTeam
. That is, when a user logs into the client application via a patient
context, any text enclosed within
{{#careTeam}}...{{/careTeam}}
will be discarded, prior to display. Similarly, when a user logs into the client application via an EHR
context, any text enclosed within
{{#patient}}...{{/patient}}
will be discarded, prior to display.
|
|
web
|
github.com
|
Originally, we used CQL borrowed from the FHIR Common file
in the CQ Framework to determine whether a condition was active. In practice, we found many conditions falling through the cracks that a clinician would still deem current.
|
|
web
|
www.heart.org
|
AHA: Understanding High Blood Pressure Readings
|
|
web
|
www.heart.org
|
AHA: Monitoring your blood pressure at home
|
|
web
|
my.clevelandclinic.org
|
Cleveland Clinic: 24-hour ambulatory blood pressure monitoring
|
|
web
|
www.heart.org
|
AHA: Understanding Blood Pressure Readings
|
|
web
|
my.clevelandclinic.org
|
Cleveland Clinic: Understanding 24-hour monitoring
|
|
web
|
www.heart.org
|
AHA: Smoking, High Blood Pressure and Your Health
|
|
web
|
uhs.umich.edu
|
University of Michigan: Hypertension
|
|
web
|
www.heart.org
|
AHA: Changes You Can Make to Manage High Blood Pressure
|
|
web
|
www.heart.org
|
AHA: Limiting Alcohol to Manage High Blood Pressure
|
|
web
|
www.heart.org
|
AHA: Getting Active to Control your High Blood Pressure
|
|
web
|
www.heart.org
|
AHA: When to call 911 for high blood pressure
|
|
web
|
cds-hooks.org
|
CDS Hooks
|