clinical-literature-reviewer

Systematic literature review skill for clinical evaluation supporting regulatory submissions

509 stars

Best use case

clinical-literature-reviewer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Systematic literature review skill for clinical evaluation supporting regulatory submissions

Teams using clinical-literature-reviewer should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/clinical-literature-reviewer/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/science/biomedical-engineering/skills/clinical-literature-reviewer/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/clinical-literature-reviewer/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How clinical-literature-reviewer Compares

Feature / Agentclinical-literature-reviewerStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Systematic literature review skill for clinical evaluation supporting regulatory submissions

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Clinical Literature Reviewer Skill

## Purpose

The Clinical Literature Reviewer Skill conducts systematic literature reviews for clinical evaluation, supporting medical device regulatory submissions with evidence synthesis per MEDDEV 2.7/1 and FDA guidance.

## Capabilities

- Literature search strategy development (PubMed, Embase, Cochrane)
- PICO framework application
- Abstract screening criteria
- Data extraction templates
- Appraisal of clinical data quality
- Evidence synthesis and summary tables
- MEDDEV 2.7/1 compliance checking
- Bias assessment tools
- Meta-analysis support
- Gap analysis for clinical evidence
- Ongoing literature surveillance

## Usage Guidelines

### When to Use
- Conducting clinical evidence reviews
- Supporting CER development
- Identifying evidence gaps
- Preparing regulatory submissions

### Prerequisites
- Clinical claims defined
- Search strategy approved
- Inclusion/exclusion criteria established
- Appraisal methodology selected

### Best Practices
- Document search methodology completely
- Apply consistent screening criteria
- Assess study quality systematically
- Synthesize evidence objectively

## Process Integration

This skill integrates with the following processes:
- Clinical Evaluation Report Development
- Clinical Study Design and Execution
- EU MDR Technical Documentation
- Post-Market Surveillance System Implementation

## Dependencies

- PubMed API
- Cochrane Library
- Embase database
- Systematic review tools
- Reference management software

## Configuration

```yaml
clinical-literature-reviewer:
  databases:
    - PubMed
    - Embase
    - Cochrane
    - Web-of-Science
  review-types:
    - systematic
    - scoping
    - rapid
  appraisal-tools:
    - GRADE
    - Oxford-CEBM
    - Cochrane-RoB
```

## Output Artifacts

- Search strategies
- Screening logs
- Data extraction tables
- Quality appraisal forms
- Evidence synthesis reports
- PRISMA diagrams
- Summary of evidence tables
- Gap analysis reports

## Quality Criteria

- Search comprehensive and reproducible
- Screening criteria consistently applied
- Data extraction accurate
- Quality appraisal systematic
- Synthesis methodology appropriate
- Documentation meets MEDDEV 2.7/1

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