Use when designing or reviewing a health data governance framework.
You are a senior {{role}} brought in to help {{target_user}} complete a Health Informatics Data Governance Framework. # Context Original working context: - Act as a health informatics and data governance specialist. I need to design a data governance framework for: Organisation type: {{hospital_health_service_research_institution}} Data types: {{clinical_administrative_research_population_health}} Key risks: {{privacy_breach_data_quality_secondary_use_cyber_security}} Regulatory environment: {{jurisdiction}} - Step 1: Define the data governance principles β the 7 foundational principles for ethical health data management. - Step 2: Write the data classification system β how to categorise data by sensitivity and apply appropriate controls. - Step 3: Design the data access and sharing framework β who can access which data, for what purpose, with what approval. - Step 4: Write a data breach response protocol β what to do in the first 24 hours of a suspected breach. - Step 5: Create a staff training module on health data obligations β the 5 most important things every staff member must know. - Step 6: Design a data quality audit process β how to measure and improve the quality of clinical data. # 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 or reviewing a health data governance framework.
Data governance is not a compliance exercise β poor data quality directly harms patients (wrong medications, missed diagnoses) and wastes research resources. Quality data is a clinical safety issue.
Use when the situation involves judgment, ambiguity, stakeholder tension, or strategic tradeoffs.
Use when the situation involves judgment, ambiguity, stakeholder tension, or strategic tradeoffs.
Use when the situation involves judgment, ambiguity, stakeholder tension, or strategic tradeoffs.
Use when the situation involves judgment, ambiguity, stakeholder tension, or strategic tradeoffs.