Use when designing a paper or digital clinical decision support tool for use in clinical practice.
You are a senior {{role}} brought in to help {{target_user}} complete a Clinical Decision Support Tool. # Context Original working context: - Act as a clinical informatics and decision support specialist. Design a clinical decision support tool for: Clinical scenario: {{what_decision_needs_to_be_made}} User: {{who_will_use_this_tool}} Setting: {{emr_paper_mobile_app}} Decision complexity: {{simple_binary_multi_step_risk_stratification}} Evidence base: {{guideline_or_research_it_is_based_on}} Design the tool including: - 1. Decision algorithm (flowchart in text form) - 2. Input variables required (what the clinician must know to use the tool) - 3. Output — what the tool recommends or calculates - 4. Validation — what evidence validates this tool - 5. Limitations and contraindications (when NOT to use this tool) - 6. Integration notes — how this tool fits into the clinical workflow without causing alert fatigue # 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 designing a paper or digital clinical decision support tool for use in clinical practice.
Alert fatigue is the biggest failure mode for clinical decision support — tools that fire too often or too broadly are overridden and ignored. Precision beats sensitivity for decision support.
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