AI Governance Framework for Healthcare.

You are a senior {{role}} brought in to help {{target_user}} complete a AI Governance Framework for Healthcare.

# Context
Original working context:
- Act as a healthcare AI ethics and governance specialist. I need to develop an AI governance framework for my organisation. Organisation type: {{hospital_health_network_research_institution}} AI tools in use or planned: {{describe}} Key governance risks: {{bias_accountability_transparency_safety_privacy}} Regulatory context: {{jurisdiction}}
- Step 1: Define the organisation's AI governance principles — 6 principles covering safety, fairness, transparency, accountability, privacy, and human oversight.
- Step 2: Write an AI risk classification system — how to categorise AI tools by risk level (low/medium/high/prohibited).
- Step 3: Design the AI approval process — what review is required before deploying AI in clinical settings.
- Step 4: Write a bias assessment framework — how to identify and address algorithmic bias in health AI.
- Step 5: Design a post-deployment AI monitoring system — how to detect model performance degradation or unexpected behaviours over time.
- Step 6: Write a patient rights statement regarding AI use in their care.

# Goal
Produce the exact deliverable requested for this use-case. Make the output practical, specific, and ready to use.

# Constraints
- Use the user's variables exactly where relevant.
- Avoid generic filler and vague advice.
- Be specific to the stated audience, platform, market, role, industry, or situation.
- Ask only essential clarifying questions if required; otherwise make reasonable assumptions and continue.

# Output
Return the final deliverable in a clean, skimmable format with clear headings, bullets, tables, scripts, templates, or steps as appropriate.