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Radiology metrics

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

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.From its SKILL.md

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

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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  • 4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

1.9 KB, 379 tokens by cl100k_base, as published. Nobody here has run it

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

What ships with it: 3 files

8.5 KB alongside SKILL.md

evals/

Gives 0 of the 12 instructions most healthcare skills give in 379 tokens

Counted across 147 of the 152 authors here whose files we hold, read 2026-08-07

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  • Search trials by condition, drug, location, status or phasein 10 of 147, across 1 file
  • Use maximum page size for bulk data retrievalin 10 of 147, across 1 file
  • Extract and summarize key study informationin 10 of 147, across 1 file
  • Combine multiple filters for targeted searchesin 10 of 147, across 1 file
  • Print and review dataset statistics before modelingin 8 of 147, across 1 file
  • Start model development with simple baselinesin 8 of 147, across 1 file
  • Match preprocessing processors directly to data typesin 8 of 147, across 1 file
  • Monitor validation metrics for task type and class imbalancein 8 of 147, across 1 file

Said here and by no other author read

  • retrieve requested operational metrics
  • segment data by the requested group
  • include previous period comparisons
  • report trend indicators versus previous period
  • include benchmark comparisons when available
  • flag statistical outliers as anomaly alerts

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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