# Report Quality Review

> Monitors and improves radiology report quality through systematic audit and feedback. Use when user mentions "report quality review", "discrepancy audit", "report completeness", "addendum analysis", or needs quality assurance.

- **Type:** Skill
- **Install:** `agentstack add skill-aizech-clinical-skills-report-quality-review`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [aizech](https://agentstack.voostack.com/s/aizech)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [aizech](https://github.com/aizech)
- **Source:** https://github.com/aizech/clinical-skills/tree/main/.bob/skills/report-quality-review
- **Website:** https://www.corpusanalytica.com/skills/

## Install

```sh
agentstack add skill-aizech-clinical-skills-report-quality-review
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Report Quality Review Skill

## Triggers

- "report quality review"
- "discrepancy audit"
- "report completeness"
- "addendum analysis"
- "quality improvement"
- "peer review"
- "report turnaround"

## Parameters

- `review_type` (required): Type of quality review
  - `completeness` - Required element adherence
  - `discrepancy` - Error and miss analysis
  - `turnaround` - TAT compliance monitoring
  - `communication` - Critical result documentation
  - `attribution` - Report signature verification
  - `cqi` - Continuous quality improvement tracking
- `modality` (optional): Filter by imaging type
- `time_range` (optional): Review period - defaults to last 30 days
- `urgency` (optional): Filter by clinical setting (ED, inpatient, outpatient)

## Quality Metrics Tracked

- **Completeness**: Required elements, comparison documentation, impression presence
- **Accuracy**: Discrepancy rates, addendum rates, amended findings
- **Timeliness**: TAT by setting, protocol compliance, pending report alerts
- **Communication**: Critical result documentation, escalation compliance
- **Format**: Structured data presence,标准化 terminology use

## Output Format

Returns structured JSON with:
- Quality score by metric category
- Trend analysis (improving/declining)
- Individual radiologist feedback (anonymized aggregates)
- Improvement recommendations
- Peer review learning points

## Usage Examples

```
review_type: completeness
modality: CT
time_range: last_month

review_type: discrepancy
time_range: last_quarter
urgency: ED
```

## Integration Points

- RIS for report content and timestamps
- PACS for comparison study tracking
- Communication logs for critical result verification
- Peer review system for discrepancy classification

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [aizech](https://github.com/aizech)
- **Source:** [aizech/clinical-skills](https://github.com/aizech/clinical-skills)
- **License:** MIT
- **Homepage:** https://www.corpusanalytica.com/skills/

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-aizech-clinical-skills-report-quality-review
- Seller: https://agentstack.voostack.com/s/aizech
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.