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MEDUROAM - Clinical Reasoning Assistant Platform

Version: 1.0.0
Status: Development
Compliance Target: HIPAA-ready, Clinical Audit Standards

Overview

MEDUROAM is a physician-in-the-loop AI consultation platform designed to simulate high-quality GP/internal medicine consultations while maintaining strict safety boundaries. The system operates as a clinical reasoning assistant, not a licensed physician.

Core Capabilities

  • Adaptive clinical interview (chief complaint → HPI → ROS → history)
  • Red-flag detection with automatic escalation
  • Structured SOAP note generation (JSON format)
  • Explicit concern tracking and verification
  • Confidence-scored differential diagnoses

Safety Architecture

  • Hard stops for emergency conditions
  • No definitive diagnoses or treatment plans
  • No medication dosing (except OTC general guidance)
  • Clear disclaimers without breaking immersion
  • Designed for human clinician review

Project Structure

meduroam/
├── core/
│   ├── system_prompt.md          # Gemini system prompt
│   ├── state_machine.py          # Consultation flow logic
│   └── red_flags.json            # Emergency taxonomy
├── schemas/
│   ├── soap_schema.json          # SOAP note structure
│   └── session_state.json        # Conversation state
├── examples/
│   ├── consultation_transcript.md  # Full consultation example
│   └── sample_soap_output.json    # Generated SOAP note
├── docs/
│   ├── implementation_guide.md    # Gemini API integration
│   ├── clinical_protocol.md      # Medical logic documentation
│   └── audit_checklist.md        # Compliance validation
└── tests/
    └── red_flag_scenarios.md      # Safety test cases

Regulatory Considerations

  • Not a medical device under current design (decision support, not diagnosis)
  • Assumes human clinician review before action
  • All outputs timestamped and auditable
  • Red-flag triggers logged for quality assurance

Next Steps

  1. Deploy system prompt to Gemini API Studio
  2. Implement state machine in backend
  3. Connect to secure HIPAA-compliant storage
  4. Integrate with human review workflow
  5. Clinical validation testing

Disclaimer: This system is a clinical reasoning tool. All outputs require validation by licensed healthcare professionals before clinical action.

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