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<h1 class="title toc-ignore">Oncology Extension</h1>
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<div id="omop-common-data-model-oncology-extension-documentation"
class="section level2">
<h2>OMOP Common Data Model Oncology Extension Documentation</h2>
<p>This documentation details the ratified proposal of adding an
oncology extension to the OMOP CDM. These tables and fields will become
part of the next release (v6.1) of the Common Data Model. Below are
their descriptions; showing <em>additions</em> to the model only. For
example, two fields were added to the MEASUREMENT table as part of this
extension so only those two fields are listed below for MEASUREMENT
instead of the entire table. For more information, please see the <a
href="https://github.com/OHDSI/OncologyWG/wiki">OMOP Oncology wiki
site</a>.</p>
<p>The DDLs for these tables are located on the Oncology github, as
detailed in the <a
href="https://github.com/OHDSI/OncologyWG/wiki/Oncology-CDM-Extension-Installation">installation
instructions</a>.</p>
<div id="episode" class="section level3 tabset tabset-pills">
<h3 class="tabset tabset-pills">episode</h3>
<p><strong>Table Description</strong></p>
<p>The episode table aggregates lower-level clinical events
(visit_occurrence, drug_exposure, procedure_occurrence, device_exposure)
into a higher-level abstraction representing clinically and analytically
relevant disease phases,outcomes and treatments. The episode_event table
connects qualifying clinical events (visit_occurrence, drug_exposure,
procedure_occurrence, device_exposure) to the appropriate episode entry.
For example cancers including their development over time, their
treatment, and final resolution.</p>
<p><strong>User Guide</strong></p>
<p>Valid Episode Concepts belong to the Episode domain. For cancer
episodes please see [article], for non-cancer episodes please see
[article]. If your source data does not have all episodes that are
relevant to the therapeutic area, write only those you can easily derive
from the data. It is understood that that table is not currently
expected to be comprehensive.</p>
</div>
<div id="episode_event" class="section level3 tabset tabset-pills">
<h3 class="tabset tabset-pills">episode_event</h3>
<p><strong>Table Description</strong></p>
<p>The episode_event table connects qualifying clinical events (such as
condition_occurrence, drug_exposure, procedure_occurrence, measurement)
to the appropriate episode entry. For example, linking the precise
location of the metastasis (cancer modifier in measurement) to the
disease episode.</p>
<p><strong>User Guide</strong></p>
<p>This connecting table is used instead of the fact_relationship table
for linking low-level events to abstracted Episodes.</p>
<p><strong>ETL Conventions</strong></p>
<p>Some episodes may not have links to any underlying clinical events.
For such episodes, the episode_event table is not populated.</p>
</div>
<div id="measurement" class="section level3 tabset tabset-pills">
<h3 class="tabset tabset-pills">measurement</h3>
<p><strong>Table Description</strong></p>
<p>The measurement table contains records of Measurement,
i.e. structured values (numerical or categorical) obtained through
systematic and standardized examination or testing of a Person or
Persons sample. The measurement table contains both orders and results
of such Measurements as laboratory tests, vital signs, quantitative
findings from pathology reports, etc. Measurements are stored as
attribute value pairs, with the attribute as the Measurement Concept and
the value representing the result. The value can be a Concept (stored in
value_as_concept), or a numerical value (value_as_number) with a Unit
(unit_concept_id).</p>
<p><strong>User Guide</strong></p>
<p>Measurements differ from Observations in that they require a
standardized test or some other activity to generate a quantitative or
qualitative result.</p>
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