Knee CDS

Clinical Decision Support Tool

Version 1.0.0

Settings & About

Application information, disclaimers, and configuration

About Knee Injury CDS

Application Purpose

The Knee Injury Clinical Decision Support (CDS) tool is designed to assist healthcare professionals in diagnosing knee injuries and planning rehabilitation programs. The application integrates biomechanical simulation data from finite element analysis (FEA) with clinical decision-making frameworks to provide evidence-based recommendations for patient care.

Key Features

  • Biomechanical data visualization from FEA simulations
  • Interactive 3D knee model viewer for stress/strain analysis
  • AI-assisted exercise recommendation system
  • Gait scenario comparison (standing, walking, running)
  • Longitudinal tracking of rehabilitation progress

Version Information

Version: 1.0.0

Release Date: 2024

Build: Production

Important Disclaimer

Research Tool - Not a Medical Device

This application is a research and educational tool intended to support clinical decision-making. It is not a medical device and should not be used as the sole basis for diagnostic or treatment decisions.

Healthcare providers must exercise their professional judgment and consider individual patient circumstances, clinical history, and all available medical information when making treatment decisions.

The biomechanical simulations and exercise recommendations provided by this tool are based on computational models and should be interpreted within the context of comprehensive clinical evaluation.

Technical Specifications

Frontend Technology

  • Next.js 15 with React 19
  • TypeScript
  • Tailwind CSS for styling
  • shadcn/ui component library

Data Sources

  • Finite Element Analysis (FEA) simulation outputs
  • Biomechanical models of knee joint tissues
  • Evidence-based rehabilitation protocols

Support

For technical support, feature requests, or reporting issues, please contact the development team through your organization's IT support channels.

All patient data is handled according to HIPAA compliance standards