Version: 1.0.0
Status: Development
Compliance Target: HIPAA-ready, Clinical Audit Standards
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.
- 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
- 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
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
- 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
- Deploy system prompt to Gemini API Studio
- Implement state machine in backend
- Connect to secure HIPAA-compliant storage
- Integrate with human review workflow
- Clinical validation testing
Disclaimer: This system is a clinical reasoning tool. All outputs require validation by licensed healthcare professionals before clinical action.