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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.

All 20 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. 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

  1. Ask for missing context if needed.
  2. Analyze the provided data to identify emerging trends or patterns related to safety or performance.
  3. Use appropriate statistical methods to validate the trends (e.g., regression, time-series analysis).
  4. Summarize the top three trends, including their magnitude and potential impact on patient safety.
  5. Provide recommendations for regulatory actions or further investigation based on the findings.
  6. 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?