mCODE Core Implementation Guide Testing Suite Documentation (2024)

This resource provides comprehensive documentation for testing implementations of the minimal Common Oncology Data Elements (mCODE) Core profiles using the MITRE-developed test suite. The document outlines essential guidance for implementers working with prioritized mCODE profiles, particularly in context of the USCDI+ Cancer initiative and the CMS Enhancing Oncology Model (EOM).

Key Components:

• Detailed overview of the mCODE Test Suite, built on the open-source Inferno FHIR testing tool
• Alignment with USCDI+ Cancer use cases including clinical trial recruitment, adverse event tracking, and cancer registry data collection
• Comprehensive mapping between mCODE profiles and EOM data elements
• Visual conceptual diagram showing prioritized "mCODE Core" profiles
• Testing specifications for five core profiles: Cancer Patient, Primary Cancer Condition, Cancer Disease Status, TNM Staging, and Tumor Marker

Complementary Resources:

• mCODE Community of Practice Archive: Access to five years of community session recordings providing implementation insights and best practices
• mCODE Sample Data Repository: Reference implementation data through STU2, offering valuable examples for testing and development
• mCODE Extraction Framework: Tools for converting EHR CSV exports into mCODE-compliant formats
• mCODE GitHub Repository: Collection of demonstration tools and reference implementations for development guidance

This documentation is particularly relevant for:

• Healthcare software developers implementing mCODE standards
• Organizations participating in the CMS Enhancing Oncology Model
• Teams working on USCDI+ Cancer data exchange initiatives
• FHIR implementers focusing on oncology data interoperability

Last Updated: January 2024 Source: MITRE Corporation

Note: This document reflects the state of mCODE STU4 IG development as of November 2024 and aligns with current USCDI+ Cancer proposed data elements.

The attachment contains the complete technical documentation in DOCX format.