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Background
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<h1 class="title toc-ignore"><img src="ohdsi40x40.png"></img> OMOP
Common Data Model</h1>
</div>
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<p>The Observational Medical Outcomes Partnership (OMOP) Common Data
Model (CDM) is an open community data standard, designed to standardize
the structure and content of observational data and to enable efficient
analyses that can produce reliable evidence. A central component of the
OMOP CDM is the OHDSI standardized vocabularies. The OHDSI vocabularies
allow organization and standardization of medical terms to be used
across the various clinical domains of the OMOP common data model and
enable standardized analytics that leverage the knowledge base when
constructing exposure and outcome phenotypes and other features within
characterization, population-level effect estimation, and patient-level
prediction studies.</p>
<p>This website is meant to serve as a resource describing the
specification of the available versions of the Common Data Model. This
includes the structure of the model itself and the agreed upon
conventions for each table and field as decided by the OHDSI Community.
The vocabulary tables are part of the model and, as such, are detailed
here. To download the vocabulary itself, please visit <a
href="https://athena.ohdsi.org">https://athena.ohdsi.org</a>. For more
information about the OHDSI suite of tools designed to implement best
practices in characterization, population-level effect estimation and
patient-level prediction, please visit <a
href="https://ohdsi.github.io/Hades/">https://ohdsi.github.io/Hades/</a>.</p>
<div id="the-cdm-working-group" class="section level2">
<h2>The CDM Working Group</h2>
<p>The CDM is managed by the OHDSI CDM Working Group. If you would like
to join our group please fill out <a
href="https://forms.office.com/Pages/ResponsePage.aspx?id=lAAPoyCRq0q6TOVQkCOy1ZyG6Ud_r2tKuS0HcGnqiQZUOVJFUzBFWE1aSVlLN0ozR01MUVQ4T0RGNyQlQCN0PWcu">this
form</a> and check “Common Data Model” to be added to our Microsoft
Teams environment. This working group endeavors to maintain the OMOP CDM
as a living model by soliciting and responding to requests from the
community based on use cases and research purposes. For more information
on the CDM refresh process please see the description <a
href="http://ohdsi.github.io/CommonDataModel/cdmRefreshProcess.html">here</a>.
You will find information on our meetings and links to join at the end
of this page.</p>
<div id="calendar" class="section level3">
<h3>Calendar</h3>
<p>This is the calendar of events for the CDM Working Group, including
upcoming topics and links to meetings. If you would like to present to
the group regarding a new use case for the OMOP CDM or if you would like
the groups assistance with a problem you are having, please fill out
our sign-up form.</p>
<p><a
href="https://www.signupgenius.com/go/10C0948AEAD28A4F9CF8-workgroup"><img
src="images/sign-up.png" style="width:15.0%" alt="Sign Up" /></a></p>
<p><strong>Note</strong> If you do you have access to the OHDSI Teams
Tenet, either contact Clair Blacketer at <a
href="mailto:mblacke@its.jnj.com" class="email">mblacke@its.jnj.com</a>
or fill out <a
href="https://forms.office.com/Pages/ResponsePage.aspx?id=lAAPoyCRq0q6TOVQkCOy1ZyG6Ud_r2tKuS0HcGnqiQZUOVJFUzBFWE1aSVlLN0ozR01MUVQ4T0RGNyQlQCN0PWcu">this
form</a> and check “Common Data Model”</p>
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<div id="current-cdm-version" class="section level2">
<h2>Current CDM Version</h2>
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<p>The current CDM version is <a
href="http://ohdsi.github.io/CommonDataModel/cdm54.html">CDM v5.4</a>,
depicted below. This CDM version was developed over the course of a year
by considering requests that were sent via our <a
href="https://github.com/OHDSI/CommonDataModel/issues">issues page</a>.
The list of proposed changes was then shared with the community in
multiple ways: through discussions at the weekly OHDSI Community calls,
discussions with the OHDSI Steering Committee, and discussions with all
potentially affected workgroups. The <a
href="http://ohdsi.github.io/CommonDataModel/cdm54Changes.html">final
changes</a> were then delivered to the Community through a new R package
designed to dynamically generate the DDLs and documentation for all
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supported SQL dialects. Looking for an entity-relationshop diagram?
Click <a
href="http://ohdsi.github.io/CommonDataModel/cdm54erd.html">here</a>!</p>
<ul>
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<li><a
href="https://github.com/OHDSI/CommonDataModel/tree/v5.4.0/inst/ddl/5.4">Link
to DDLs for CDM v5.4</a></li>
<li><a
href="https://github.com/OHDSI/CommonDataModel/tree/master#readme">Link
to ReadMe for instructions on how to use the R package</a></li>
</ul>
<p><img src="images/cdm54.png" /> <br></p>
<div id="current-support-for-cdm-v5.4" class="section level3">
<h3>Current Support for CDM v5.4</h3>
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<p>The table below details which OHDSI tools support CDM v5.4. There are
two levels of support: legacy support means that the tool supports all
tables and fields that were present in CDM v5.3 and feature support
indicates that the tool supports any new tables and fields in CDM v5.4
that were not present in CDM v5.3. A green check ✔️ indicates that the
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support level for the listed tool is in place, has been tested, and
released. A warning sign ❗ indicates that the support level for the
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listed tool has been initiated but has not yet been tested and released.
<br></p>
<table>
<colgroup>
<col width="25%" />
<col width="25%" />
<col width="25%" />
<col width="25%" />
</colgroup>
<thead>
<tr class="header">
<th><strong>Tool</strong></th>
<th><strong>Description</strong></th>
<th><strong>Legacy Support</strong></th>
<th><strong>Feature Support</strong></th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td><strong>CDM R package</strong></td>
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<td>This package can be downloaded from <a
href="https://github.com/OHDSI/CommonDataModel/">https://github.com/OHDSI/CommonDataModel/</a>.
It functions to dynamically create the OMOP CDM documentation and DDL
scripts to instantiate the CDM tables.</td>
<td>✔️</td>
<td>✔️</td>
</tr>
<tr class="even">
<td><strong>Data Quality Dashboard</strong></td>
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<td>This package can be downloaded from <a
href="https://github.com/OHDSI/DataQualityDashboard">https://github.com/OHDSI/DataQualityDashboard</a>.
It runs a set of &gt; 3500 data quality checks against an OMOP CDM
instance and is required to be run on all databases prior to
participating in an OHDSI network research study.</td>
<td>✔️</td>
<td></td>
</tr>
<tr class="odd">
<td><strong>Achilles</strong></td>
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<td>This package can be downloaded from <a
href="https://github.com/OHDSI/Achilles">https://github.com/OHDSI/Achilles</a>,
performing a set of broad database characterizations against an OMOP CDM
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instance.</td>
<td>✔️</td>
<td></td>
</tr>
<tr class="even">
<td><strong>ARES</strong></td>
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<td>This package can be downloaded from <a
href="https://github.com/OHDSI/Ares">https://github.com/OHDSI/Ares</a>
and is designed to display the results from both the ACHILLES and
DataQualityDashboard packages to support data quality and
characterization research.</td>
<td>✔️</td>
<td></td>
</tr>
<tr class="odd">
<td><strong>ATLAS</strong></td>
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<td>ATLAS is an open source software tool for researchers to conduct
scientific analyses on standardized observational data. <a
href="http://atlas-demo.ohdsi.org/">Demo</a></td>
<td>✔️</td>
<td></td>
</tr>
<tr class="even">
<td><strong>Rabbit-In-A-Hat</strong></td>
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<td>This package can be downloaded from <a
href="https://github.com/OHDSI/WhiteRabbit">https://github.com/OHDSI/WhiteRabbit</a>
and is an application for interactive design of an ETL to the OMOP
Common Data Model with the help of the the scan report generated by
White Rabbit.</td>
<td>✔️</td>
<td>✔️</td>
</tr>
<tr class="odd">
<td><strong>Feature Extraction</strong></td>
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<td>This package can be downloaded from <a
href="https://github.com/OHDSI/FeatureExtraction">https://github.com/OHDSI/FeatureExtraction</a>.
It is designed to generate features (covariates) for a cohort generated
using the OMOP CDM.</td>
<td>✔️</td>
<td>✔️*</td>
</tr>
<tr class="even">
<td><strong>Cohort Diagnostics</strong></td>
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<td>This package can be downloaded from <a
href="https://github.com/OHDSI/CohortDiagnostics">https://github.com/OHDSI/CohortDiagnostics</a>
and is used to critically evaluate cohort phenotypes.</td>
<td>✔️</td>
<td></td>
</tr>
</tbody>
</table>
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<p><br> * The <strong>Feature Extraction</strong> package supports all
relevant new features in CDM v5.4. For example, it was decided that,
from a methodological perspective, the EPISODE and EPISODE_EVENT tables
should not be included to define cohort covariates because the events
that make up episodes are already pulled in as potential covariates.</p>
<p><br></p>
</div>
2019-10-31 19:06:09 +00:00
<div id="cdm-wg-important-links" class="section level3">
<h3>CDM WG Important Links</h3>
<ul>
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<li><a
href="https://drive.google.com/open?id=1DaNKe6ivIAZPJeI31VJ-pzNB9wS9hDqu">Google
Drive Location</a></li>
<li><a
href="https://docs.google.com/document/d/1WgKePjrI_cGdqn2XQCe1JdGaTzdMqU4p5ihkMt8fcAc/edit?usp=sharing">Running
Agenda</a></li>
<li><a href="https://github.com/OHDSI/CommonDataModel">CDM
Github</a></li>
<li><a
href="http://ohdsi.github.io/CommonDataModel/cdmRefreshProcess.html">Process
for adopting CDM and Vocabulary changes</a></li>
</ul>
</div>
</div>
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