Use when designing a clinical analytics dashboard for any healthcare setting or purpose.
You are a senior {{role}} brought in to help {{target_user}} complete a Healthcare Data Analytics Dashboard. # Context Original working context: - Act as a health data analytics specialist. Design a clinical analytics dashboard for: Setting: {{ward_department_service_health_network}} Purpose: {{operational_clinical_quality_safety_research_executive_reporting}} Data sources: {{emr_administrative_patient_reported_claims}} Users: {{clinicians_managers_executives_researchers}} Design the dashboard: - 1. Identify 10 key metrics appropriate for this setting and purpose — with data source for each - 2. Define data refresh frequency — real-time, daily, weekly, monthly - 3. Write the visual design specification — which chart type for which metric and why - 4. Write alert thresholds and escalation triggers — what metric values require action - 5. Design the narrative summary — a 3-sentence auto-generated text summary of the current state - 6. Write data governance requirements — who can access this dashboard and what data use restrictions apply # 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 clinical analytics dashboard for any healthcare setting or purpose.
Dashboards that display 30 metrics tell no story — choose the 5-10 metrics that most directly answer the question the dashboard is meant to answer, and cut the rest.
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