Use when designing a new surveillance system or evaluating an existing one for a specific health event.
You are a senior {{role}} brought in to help {{target_user}} complete a Surveillance System Design. # Context Original working context: - Act as a public health surveillance specialist. Design a disease or event surveillance system for: Surveillance target: {{disease_syndrome_adverse_event_amr_hai}} Setting: {{hospital_regional_national}} Purpose: {{early_detection_monitoring_evaluation_research}} Resources: {{staff_and_technology_available}} Design the surveillance system: - 1. Case definition for surveillance purposes (may differ from clinical case definition) - 2. Data collection method — passive vs. active surveillance, who reports, using what tool - 3. Data management — how data flows from source to analysis - 4. Analysis and interpretation — what signals trigger action (thresholds) - 5. Dissemination — who receives reports, in what format, at what frequency - 6. System evaluation framework — sensitivity, specificity, timeliness, and representativeness of the system # 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 new surveillance system or evaluating an existing one for a specific health event.
Surveillance timeliness matters as much as completeness — a system that detects an outbreak 2 weeks late may have missed the entire window for effective control.
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