Smart Navigation of EMR

Overview

Implement voice-controlled navigation of EMR systems with context awareness and adaptive learning capabilities.

Project Details

• Complexity: Medium
• Estimated Time: 80-100 hours
• Mentors: Ajil (FE), Basith (FE)
• Project Links:
  • Frontend: https://github.com/medispeak/medispeak-app
  • Backend: https://github.com/medispeak/medispeak-backend

Skills Required

• React
• TypeScript
• Chrome Extension APIs
• Natural Language Processing
• State management
• UI/UX design
• Machine Learning basics

Acceptance Criteria

1. Implement voice-controlled navigation
2. Create context-aware command system
3. Support customizable shortcuts
4. Enable smart field detection
5. Add user pattern learning

Milestones

Phase 1: Voice Navigation (25-30 hours)

• Implement voice command system
• Create navigation framework
• Add basic field detection
• Build command parser

Phase 2: Context Awareness (20-25 hours)

• Implement context detection
• Add command disambiguation
• Create shortcut system
• Build pattern recognition

Phase 3: Learning System (20-25 hours)

• Implement user pattern tracking
• Add adaptive learning
• Create preference system
• Build optimization engine

Phase 4: Polish & Testing (15-20 hours)

• Performance optimization
• Write comprehensive tests
• Create documentation
• User acceptance testing