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<h1>Contents of this Implementation Guide</h1>

<ul>
    <li><a href="#Background">Background</a></li>
    <li><a href="#Modeling">Scope and Conceptual Model</a></li>
    <li><a href="mCODEDataDictionary.xlsx">Data Dictionary (Excel download)</a></li>
    <li><a href="examples.html">FHIR Examples</a></li>
    <li><a href="implementation.html">Implementation Notes</a></li>
    <li><a href="changelog.html">Change Log</a></li>
    <li><a href="#Disclaimers">Disclaimers and Known Limitations</a></li>
    <li><a href="#Credits">Credits</a></li>
    <li><a href="#Contacts">Contact Information</a></li>
</ul>

<h1><a name="Background"></a>Background</h1>
<p>According to the National Cancer Institute, 38.5 percent of men and women will be diagnosed with cancer at some point during their lifetimes. In 2014, an estimated 14.7M people were living with cancer in the United States. While these numbers are staggering, the silver lining in the wide prevalence of cancer is the potential to learn from treatment of millions of patients. If we had research-quality data from all cancer patients, it would enable higher quality health outcomes. Today, we lack the data models, technologies, and methods to capture that data.</p>

<p><a href="https://mcodeinitiative.org/" target="_blank">mCODE™</a> (short for Minimal Common Oncology Data Elements) is an initiative intended to assemble a core set of structured data elements for oncology electronic health records (EHRs). mCODE™ is a step towards capturing research-quality data from the treatment of all cancer patients. This would enable the treatment of every cancer patient to contribute to <a href="https://en.wikipedia.org/wiki/Comparative_effectiveness_research" target="_blank">comparative effectiveness analysis (CEA)</a> of cancer treatments. mCODE™ has been created and is being supported by the <a href="https://www.asco.org/" target="_blank">American Society of Clinical Oncology (ASCO&#174;)</a>in collaboration with the MITRE Corporation.</p>

<p>In late 2018, ASCO convened committee of twenty leading clinical experts in oncology, radiology, surgery, and public health developed two use cases that drove the initial clinical data requirements for mCODE:</p><commit_msg>Fix for mCODE GForge#24502<commit_after>
<!--style>
        p.padding {
          padding-right: 20px;
        }
</style-->
<h1>Contents of this Implementation Guide</h1>

<ul>
    <li><a href="#Background">Background</a></li>
    <li><a href="#Modeling">Scope and Conceptual Model</a></li>
    <li><a href="mCODEDataDictionary.xlsx">Data Dictionary (Excel download)</a></li>
    <li><a href="examples.html">FHIR Examples</a></li>
    <li><a href="implementation.html">Implementation Notes</a></li>
    <li><a href="changelog.html">Change Log</a></li>
    <li><a href="#Disclaimers">Disclaimers and Known Limitations</a></li>
    <li><a href="#Credits">Credits</a></li>
    <li><a href="#Contacts">Contact Information</a></li>
</ul>

<h1><a name="Background"></a>Background</h1>
<p>According to the National Cancer Institute, 38.5 percent of men and women will be diagnosed with cancer at some point during their lifetimes. In 2014, an estimated 14.7M people were living with cancer in the United States. While these numbers are staggering, the silver lining in the wide prevalence of cancer is the potential to learn from treatment of millions of patients. If we had research-quality data from all cancer patients, it would enable higher quality health outcomes. Today, we lack the data models, technologies, and methods to capture that data.</p>

<p><a href="https://mcodeinitiative.org/" target="_blank">mCODE™</a> (short for Minimal Common Oncology Data Elements) is an initiative intended to assemble a core set of structured data elements for oncology electronic health records (EHRs). mCODE is a step towards capturing research-quality data from the treatment of all cancer patients. This would enable the treatment of every cancer patient to contribute to <a href="https://en.wikipedia.org/wiki/Comparative_effectiveness_research" target="_blank">comparative effectiveness analysis (CEA)</a> of cancer treatments. mCODE has been created and is being supported by the <a href="https://www.asco.org/" target="_blank">American Society of Clinical Oncology (ASCO&#174;)</a>in collaboration with the MITRE Corporation.</p>

<p>In late 2018, ASCO convened committee of twenty leading clinical experts in oncology, radiology, surgery, and public health developed two use cases that drove the initial clinical data requirements for mCODE:</p>
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