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Doc_Map_Agent Documentation

Overview

Doc_Map_Agent is a comprehensive R&D document authoring accelerator designed for pharmaceutical companies. It provides a knowledge base and visualization tool for understanding document types, metadata, interdependencies, and process flows across Discovery, Clinical, Regulatory, and Medical Affairs phases.

Key Features

Document Catalog

  • Comprehensive repository of pharmaceutical R&D document types
  • Detailed metadata for each document type
  • Filtering by phase, document type, and other attributes
  • Edit, add, and delete functionality for document types

Document Dependencies

  • Interactive visualization of document interdependencies
  • Network graph showing predecessor and successor relationships
  • Impact analysis for document changes
  • Ability to add and remove dependencies

Process Visualization

  • Workflow visualization for key document processes
  • Timeline representation of document creation processes
  • Critical path identification

Process Simulation

  • Bottleneck identification in document workflows
  • Resource allocation optimization
  • Timeline prediction and constraint analysis
  • Scenario comparison for process optimization

Assessment Tools

  • Gap analysis for document ecosystem evaluation
  • Compliance checking against regulatory requirements
  • Maturity model assessment for process improvement

Document Blueprints

  • Template structures for key document types
  • Section-by-section content guidelines
  • Prompt library for AI-assisted authoring

Technical Implementation

Architecture

  • Self-contained HTML/CSS/JavaScript application
  • Visualization powered by D3.js
  • No server-side dependencies for the prototype

File Structure

  • /src/css/ - Stylesheet files
  • /src/js/ - JavaScript functionality
  • /src/images/ - Image assets
  • /src/index.html - Main application file

Visualization Components

  • Document dependency network graph
  • Process flow visualization
  • Simulation timeline visualization

Future Enhancements

Database Integration

  • Backend database for persistent storage
  • User authentication and role-based access
  • Multi-user collaboration features

Containerization

  • Docker container for easy deployment
  • Cloud deployment options (AWS, Azure)

AI Integration

  • Enhanced prompt library for document authoring
  • AI-assisted document generation
  • Automated impact analysis for document changes

Usage Instructions

  1. Open index.html in a web browser
  2. Navigate through the different sections using the dashboard cards
  3. Explore document types in the Document Catalog
  4. Visualize dependencies in the Dependency Mapping section
  5. Simulate processes in the Process Simulation section
  6. Use assessment tools to evaluate document ecosystems

Deployment

For demonstration purposes, this prototype can be:

  1. Served from any static web server
  2. Packaged as a Docker container
  3. Deployed to cloud platforms like AWS or Azure

Contact

For more information or support, please contact the development team.