cross-reference-linking

# Cross-Reference Linking Skill ## Triggers - "compare to priors" - "find prior studies" - "correlate with" - "longitudinal comparison" - "followup from" - "related findings" - "pathology correlation" ## Parameters - `reference_type` (required): Type of cross-reference needed - `prior_studies` - Historical imaging comparison - `literature` - Relevant published cases or studies - `followup` - Sequential study comparison - `multimodality` - Different modality correlation - `pathology` - Radiology-pathology correlation - `clinical` - EHR/clinical data correlation - `finding_summary` (required): Current finding to cross-reference - `patient_id` (optional): Patient identifier for prior search - `date_range` (optional): Time window for prior search ## Cross-Reference Types ### Prior Study Comparison - Modality, date, and key findings of historical studies - Size/dimension comparisons for measurable findings - Density/signal intensity comparisons - Change assessment (stable, improved, progressed) ### Literature Correlation - Similar published cases - Expected imaging appearances - Atypical presentations - Prognostic implications ### Pathology Correlation - Common pathologies for imaging appearance - Staging implications (TNM, etc.) - Molecular markers and imaging correlates - Treatment response patterns ### Clinical Correlation - Lab values relevant to imaging findings - Symptoms and clinical history - Treatment history and timeline ## Output Format Returns structured JSON with: - Prior finding references with dates - Comparison metrics (size, characteristics) - Change assessment with confidence - Recommendations for followup - Related literature citations ## Usage Examples ``` reference_type: prior_studies finding_summary: 2.5 cm lung nodule right upper lobe patient_id: MRN12345 reference_type: pathology finding_summary: irregular spiculated mass left lower lobe reference_type: followup finding_summary: 1.2 cm thyroid nodule compared to 6 months prior ``` ## Data Sources - PACS for prior imaging studies - RIS for structured reports - EHR for clinical correlation - Literature databases for research correlation - Pathology system for radiology-pathology correlation