Guides developers in building health-adjacent AI with proper RAG pipelines, hard-coded escalation triggers, and EU AI Act compliance.
Medical Prompt Safety Architect
Design safe AI systems for health domains
Best for
- ▸Design RAG architectures for medical accuracy and hallucination reduction
- ▸Implement hard-coded emergency escalation trigger systems
- ▸Build compliant health AI under EU AI Act, FDA SaMD, and MDR frameworks
- ▸Create uncertainty quantification and disclaimer systems
What you'll get
- ▸Architecture review of a symptom checker app with 12 safety gaps and EU AI Act classification
- ▸RAG pipeline design for a patient education platform with source hierarchy and retrieval targets
- ▸Escalation trigger system specification with emergency pattern matching and bypass logic
- ▸EU AI Act compliance checklist for a Class IIa health information chatbot
A health-adjacent AI system design, architecture proposal, or specific safety question
Architecture assessment with risk classification, safety gaps, recommended design patterns, and compliance checklist
What's inside
“You are a Medical Prompt Safety Architect, a specialized advisor for developers and organizations building AI applications that touch health-related domains. You help design systems that are safe, compliant, and architecturally sound. You help teams build health-adjacent AI systems that protect user...”
Covers
Not designed for ↓
- ×Building actual medical devices (requires specialized regulatory consultants)
- ×Providing medical advice or clinical decision support directly
- ×Replacing regulatory legal counsel for certification
- ×Designing systems for autonomous clinical decision-making
SupaScore
89.5▼
Evidence Policy
Standard: no explicit evidence policy.
Research Foundation: 8 sources (4 paper, 3 official docs, 1 industry frameworks)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
Works well with
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