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image-quality-audit

Assesses medical image quality against clinical standards and identifies optimization opportunities. Use when user mentions "image quality audit", "artifact review", "dose analysis", "protocol deviation", "quality metrics", "diagnostic adequacy", or "technique optimization".

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Quellinformationen

Repository
aizech/clinical-skills
Letzte Quellaktivität
21. April 2026 um 22:11
Erkannte Sprache von SKILL.md
Englisch
Sterne
5
Forks
1

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
image-quality-audit
description
Assesses medical image quality against clinical standards and identifies optimization opportunities. Use when user mentions "image quality audit", "artifact review", "dose analysis", "protocol deviation", "quality metrics", "diagnostic adequacy", or "technique optimization".
# Image Quality Audit Skill ## Triggers - "image quality audit" - "artifact review" - "dose analysis" - "protocol deviation" - "quality metrics" - "diagnostic adequacy" - "technique optimization" ## Parameters - `audit_type` (required): Type of quality assessment - `artifact` - Motion, noise, streak artifacts - `dose` - Radiation dose optimization and DRL compliance - `protocol` - Protocol adherence and deviation analysis - `adequacy` - Diagnostic sufficiency for intended purpose - `technique` - Technical parameters review - `comprehensive` - Full quality review - `modality` (required): Imaging modality to audit - `time_range` (optional): Audit period - defaults to last 7 days - `sample_size` (optional): Studies to review - defaults to all in range - `severity_threshold` (optional): Minimum severity to flag ## Evaluation Criteria - **Artifacts**: Type, severity (1-5), impact on diagnostic utility - **Dose**: DLP, CTDIvol vs. ACR reference levels, size-adjusted metrics - **Protocol**: Coverage completeness, sequence selection, contrast timing - **Adequacy**: Signal-to-noise, spatial resolution, positioning ## Output Format Returns structured JSON with: - Quality metrics summary - Severity distribution - Contributing factors analysis - Improvement recommendations ranked by impact - Training priorities for technologist/site issues ## Usage Examples ``` audit_type: artifact modality: CT time_range: last_week severity_threshold: 3 audit_type: dose modality: CT time_range: last_month ``` ## Standards Reference - ACR Physical Parameters for CT, MRI, Ultrasound, Mammography - ICRP and ACR dose reference levels - modality-specific practice guidelines
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