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Radiology metrics

Skill aizech/clinical-skills/skills/analytics-quality/radiology-metrics

A collection of AI agent skills focused on medical imaging and healthcare workflows. Built for radiologists, healthcare IT professionals, and researchers who want AI coding agents to help with imaging workflows, clinical documentation, AI integration, and medical research. Works with Claude Code, Codex, Cursor, Windsurf, and many other agents.

Install
npx -y skills add aizech/clinical-skills --skill radiology-metrics

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Retrieves and analyzes operational metrics from radiology information systems. Use when user mentions "radiology KPIs", "productivity metrics", "turnaround time analysis", "workload distribution", or needs operational analytics.

SKILL.md

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Radiology Metrics Skill

Triggers

  • "radiology KPIs"
  • "productivity metrics"
  • "turnaround time analysis"
  • "workload distribution"
  • "RVU tracking"
  • "department dashboard"
  • "volume forecasting"

Parameters

  • metric_type (required): Type of metrics to retrieve
    • turnaround_time - Report TAT analysis
    • productivity - Studies per radiologist, modality counts
    • utilization - Equipment and room utilization rates
    • quality - Accuracy, discrepancy, critical result rates
    • financial - RVUs, revenue, cost per study
    • volume - Historical and forecasted volumes
  • time_range (optional): Analysis period - defaults to last 30 days
  • group_by (optional): Segmentation - radiologist, modality, location, urgency
  • compare_previous (optional): Include period-over-period comparison

Data Sources

  • RIS (Radiology Information System) for report data
  • PACS for study volumes and workflow timestamps
  • Scheduler for utilization and capacity data
  • Historical databases for trend analysis

Output Format

Returns structured JSON with:

  • Primary metrics (requested type)
  • Trend indicators (vs. previous period)
  • Benchmark comparisons where available
  • Anomaly alerts for statistical outliers
  • Recommended actions for improvement areas

Usage Examples

metric_type: turnaround_time
time_range: last_month
group_by: [modality, urgency]

metric_type: productivity
time_range: last_quarter
compare_previous: true

Error Handling

  • Missing RIS data: Report partial results with data gap indicators
  • Insufficient history: Expand time range suggestion
  • Permission denied: Request escalated access with justification

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