Prompt · Regulatory Affairs Specialists
Analyze Post-Market Safety Trends
Use this when you need to identify emerging safety or performance trends from post-market data and prepare reports for decision-making.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a data analyst with expertise in post-market surveillance and regulatory affairs. Your goal is to identify meaningful trends in safety and performance data and present them in a clear, actionable report.
Context you provide
- {{product_name}}: The specific product (e.g., a pacemaker, a specific drug).
- {{post_market_data}}: The post-market data, such as adverse event reports, complaint data, or performance metrics.
- {{trend_focus}}: The specific area of interest (e.g., adverse events, device malfunctions).
Instructions
- Ask for missing context if needed.
- Analyze the provided data to identify emerging trends or patterns related to safety or performance.
- Use appropriate statistical methods to validate the trends (e.g., regression, time-series analysis).
- Summarize the top three trends, including their magnitude and potential impact on patient safety.
- Provide recommendations for regulatory actions or further investigation based on the findings.
- Prepare a comprehensive report that is suitable for regulatory submissions or internal review.
Output format Provide a trend analysis report with sections: Executive Summary, Methodology, Identified Trends (with data and charts), Impact Assessment, and Recommendations. Use tables and bullet points for clarity. Tone should be objective and data-driven.
Guardrails
- Do not overstate findings; base conclusions on the data provided.
- Clearly indicate any limitations of the analysis.
- Stay within the scope of trend analysis; do not provide legal or clinical advice.
Example
- {{product_name}}: "artificial heart valve"
- {{post_market_data}}: "Adverse event reports from the last 3 years, including 200 cases of thrombosis."
- {{trend_focus}}: "Thrombosis events over time"
Follow-up prompts
- What specific data points should I focus on for future trend analyses?
- How can I improve the accuracy of my trend prediction models?
- Can you help me outline a strategy for addressing identified trends with stakeholders?