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Ib Summarizer

面向临床研究者,解析 PDF/Word/TXT 格式的研究者手册,抽取已知不良反应及发生率、禁忌、警告与注意事项、药物相互作用、特殊人群、过量处理和安全更新,输出 markdown、JSON 或文本摘要;以本地命令行脚本运行,可选 LLM 增强抽取。

aipoch-ai
aipoch-ai
热度 79.43
最近更新 2026-05-11 17:35:27
分类:效率依赖:代码执行 / 读写文件应用场景:摘要总结 / 数据处理 / 报告撰写 / 研究

安装技能

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执行命令安装此 skill: npx secure-skills-cli add ib-summarizer
Metadata
name
ib-summarizer
description
Summarize core safety information from Investigator's Brochures for clinical researchers
version
1.0.0
category
Pharma
tags
[]
author
AIPOCH
license
MIT
status
Draft
risk_level
Medium
skill_type
Tool/Script
owner
AIPOCH
reviewer
last_updated
2026-02-06

IB Summarizer

Description

Summarize core safety information from Investigator's Brochures (IB), helping clinical researchers quickly obtain key drug safety data.

Functions

  • Extract Core Safety Information (CSI) from IB documents
  • Identify and summarize:
    • Known Adverse Drug Reactions (ADRs) and their incidence rates
    • Contraindications
    • Warnings and Precautions
    • Drug Interactions
    • Special population precautions
    • Overdose Management
    • Important safety updates

Usage

python scripts/main.py <input_file> [options]

Parameters

Parameter Type Default Required Description
input_file string - Yes IB document path (PDF/Word/TXT)
-o, --output string stdout No Output file path
-f, --format string markdown No Output format (json, markdown, text)
-l, --language string zh No Output language (zh, en)

Examples

# Basic usage
python scripts/main.py /path/to/IB.pdf

# Output to JSON file
python scripts/main.py /path/to/IB.pdf -o summary.json -f json

# English output
python scripts/main.py /path/to/IB.docx -l en -o summary.md

Output Structure

Markdown Format

# IB Safety Information Summary

## Basic Drug Information
- **Drug Name**: XXX
- **Version**: X.X
- **Date**: YYYY-MM-DD

## Core Safety Information

### Known Adverse Reactions
| System Organ Class | Adverse Reaction | Incidence | Severity |
|-------------|---------|--------|---------|
| ... | ... | ... | ... |

### Contraindications
- ...

### Warnings and Precautions
- ...

### Drug Interactions
- ...

### Special Populations
| Population | Precautions |
|-----|---------|
| Pregnant women | ... |
| Lactating women | ... |
| Children | ... |
| Elderly | ... |
| Hepatic/renal impairment | ... |

### Overdose
- Symptoms: ...
- Management: ...

### Safety Update History
| Version | Date | Update Content |
|-----|------|---------|
| ... | ... | ... |

JSON Format

{
  "drug_info": {
    "name": "Drug Name",
    "version": "Version Number",
    "date": "Date"
  },
  "core_safety_info": {
    "adverse_reactions": [...],
    "contraindications": [...],
    "warnings": [...],
    "drug_interactions": [...],
    "special_populations": {...},
    "overdose": {...},
    "safety_updates": [...]
  }
}

Dependencies

  • Python 3.8+
  • PyPDF2 / pdfplumber (PDF parsing)
  • python-docx (Word parsing)
  • Optional: openai / anthropic (for AI-enhanced extraction)

Installation

pip install -r requirements.txt

Notes

  1. Input documents should be readable PDF or Word format
  2. Scanned PDFs require OCR processing first
  3. For complex table structures, manual verification may be needed
  4. Information extracted by this tool is for reference only and does not constitute medical advice

Risk Assessment

Risk Indicator Assessment Level
Code Execution Python/R scripts executed locally Medium
Network Access No external API calls Low
File System Access Read input files, write output files Medium
Instruction Tampering Standard prompt guidelines Low
Data Exposure Output files saved to workspace Low

Security Checklist

  • No hardcoded credentials or API keys
  • No unauthorized file system access (../)
  • Output does not expose sensitive information
  • Prompt injection protections in place
  • Input file paths validated (no ../ traversal)
  • Output directory restricted to workspace
  • Script execution in sandboxed environment
  • Error messages sanitized (no stack traces exposed)
  • Dependencies audited

Prerequisites

# Python dependencies
pip install -r requirements.txt

Evaluation Criteria

Success Metrics

  • Successfully executes main functionality
  • Output meets quality standards
  • Handles edge cases gracefully
  • Performance is acceptable

Test Cases

  1. Basic Functionality: Standard input → Expected output
  2. Edge Case: Invalid input → Graceful error handling
  3. Performance: Large dataset → Acceptable processing time

Lifecycle Status

  • Current Stage: Draft
  • Next Review Date: 2026-03-06
  • Known Issues: None
  • Planned Improvements:
    • Performance optimization
    • Additional feature support