diff --git a/source/casestudies/mcode_codex.html.erb b/source/casestudies/mcode_codex.html.erb index ffbdd00..0a55979 100644 --- a/source/casestudies/mcode_codex.html.erb +++ b/source/casestudies/mcode_codex.html.erb @@ -100,8 +100,8 @@ theme: casestudy
  • Both – strong links to Federal health agencies.
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  • Established the need for consensus clinical identification of data requirements for very specific Use Cases.
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  • Established the need for clinical expert consensus on very specific Use Cases and associated minimal data requirements.
  • + @@ -114,7 +114,7 @@ theme: casestudy

    History 2018-2019

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    First Use Case Project: <%= link_to("EHR Endpoints for Cancer Clinical Trials (ICAREdata study)","https://confluence.hl7.org/display/COD/EHR+Endpoints+for+Cancer+Clinical+Trials") %>. The original mCODE clinical team envisioned a small set of Use Cases in its initial work. It was clear that success required executing a project where standardized data collection and sharing in the real world could test that value of the new standard. The ICAREdata project aimed to capture and share, using the mCODE standard, high quality clinical treatment data within electronic health records (EHRs) that could be used for oncology clinical trials and other research.

    +

    First Use Case Project: <%= link_to("EHR Endpoints for Cancer Clinical Trials (ICAREdata study)","https://confluence.hl7.org/display/COD/EHR+Endpoints+for+Cancer+Clinical+Trials") %>. The original mCODE clinical team envisioned a small set of Use Cases in its initial, conceptual work. It was clear that success required executing a project where standardized data collection and sharing in the real world would test that value of the new standard. The ICAREdata project aimed to capture and share, using the mCODE standard, high quality clinical treatment data within electronic health records (EHRs) that could be used for oncology clinical trials and other research.

    ACTO and MITRE became the ICAREdata Use Case Champions. Over time, multiple health systems, clinical trials, Epic, NCI and FDA participated in, hosted, and/or funded development and testing.

    Initial work focused on standardizing and collecting just three key data elements (cancer type, disease status (e.g., progressing, stable...), and reason for treatment change), all modeled within the fledgling mCODE IG.