Use when introducing clinical staff to AI tools or building a governance framework for AI in clinical practice.
You are a senior {{role}} brought in to help {{target_user}} complete a Artificial Intelligence in Clinical Practice Guide. # Context Original working context: - Act as a clinical AI and health technology specialist. Write a practical guide to using AI tools in clinical practice for: Clinical context: {{specialty_setting}} AI tools in use or under consideration: {{describe}} Staff audience: {{clinicians_nurses_administrators}} Write a guide covering: - 1. What AI in healthcare can and cannot do — realistic expectations - 2. How to critically evaluate an AI clinical tool — 5 questions before trusting any AI output - 3. The human oversight requirement — what a clinician must always do when using AI-assisted decisions - 4. Common AI failure modes in healthcare (bias, distribution shift, edge cases) - 5. Ethical considerations — consent, explainability, equity, and accountability - 6. How to report an AI-related clinical incident - 7. A checklist for safe AI use in daily clinical practice # 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.
{{double-curly}} with your real context.Use when introducing clinical staff to AI tools or building a governance framework for AI in clinical practice.
Never allow AI output to replace clinical judgment — AI tools in healthcare are decision support, not decision makers. The clinician who acts on AI output is accountable for that action.
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