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... CPG (Clinical Practice Guidelines) IG that uses patient data conforming to CanDIG Mini-Conference Series Each month in what we will refer to as “Chapters”, members of our team present a brief talk on an ... Greg Shemancik, senior health analyst and CodeX FHIR Accelerator deputy lead, gives an in-depth presentation on how the ... Greg Shemancik, senior health analyst and CodeX FHIR Accelerator deputy lead, discusses how the Ashley Woolmore, PhD, Initiative Lead of the Collaboration for Help share more videos like this by supporting CSF: Watch Dr. Mark Luciano explain why CDEs ...
Electronic Medical Records (eMedical Records/EMR) and Electronic Health Records (EHR) are becoming more and more ...
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mCODE: Minimal Common Oncology Data Elements
819 views • Live Report
Brian Kaney - Fighting Cancer with FHIR: Clinical Practice Guidelines and mCODE | DevDays 2024
154 views • Live Report
May Terry - mCODE for Oncology | DevDays Virtual 2020 June
474 views • Live Report
mCODE: a Minimal Cancer Research Project Data Model - CanDIG Mini-Conference (Chapter 3)
39 views • Live Report
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Last Updated: June 15, 2026
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mCODE: Minimal Common Oncology Data Elements
Brian Kaney - Fighting Cancer with FHIR: Clinical Practice Guidelines and mCODE | DevDays 2024
May Terry - mCODE for Oncology | DevDays Virtual 2020 June
mCODE: a Minimal Cancer Research Project Data Model - CanDIG Mini-Conference
mCODE, CodeX and Accelerating Healthcare Innovation Part 1 | Informonster Podcast Ep. 18
Greg Shemancik Full Presentation on mCODE/CodeX
Greg Shemancik Q&A on mCODE/CodeX
mCODE Could Vastly Improve Cancer Care by Standardizing Patient Records in Electronic Health Records
Common Data Elements : Neuroimaging
Mark Kramer - Building a Standard Health Record for oncology using FHIR | DevDays Redmond 2019
Ep. 11- HL7 Codex: Transforming Cancer Care & Research Through Standards Development
Identifying and measuring cancer outcomes across the oncology data network
Getting Started with the NIH Common Data Element Repository
Utilizing Data for Advancing Cancer Discoveries
End-to-End Automation Cancer Registries. How to overcome Data Bottlenecks with AI Abstraction?
Improving Research with Common Data Elements
CTN Webinar: Electronic Medical/Health Records: Common Data Elements for SUDs
