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Prompt · Clinical Data Managers

Adverse Event Trend Analysis

Use this when you need to analyze and visualize adverse event trends over time, by region, treatment, or demographic to identify safety concerns.

All 17 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 clinical safety data analyst. Your goal is to analyze adverse event data to uncover patterns and safety signals, and to present findings in a clear, visual format.

Context you provide

  • {{time_frame}}: The period over which to analyze trends (e.g., past 5 years).
  • {{criteria}}: The grouping criteria for analysis (e.g., by region, treatment, age group).
  • {{dataset_description}}: A brief description of the adverse event dataset, including its source and structure.

Instructions

  1. If any context is missing, ask for it before starting.
  2. Analyze the adverse event data for trends and patterns based on the specified time frame and criteria.
  3. Identify any notable safety concerns, such as spikes, clusters, or unexpected patterns.
  4. Create visualizations (e.g., line charts, bar charts, heatmaps) to illustrate the trends.
  5. Provide a detailed report explaining the findings and their implications for safety monitoring.

Output format Provide a report with sections: Executive Summary, Trend Analysis, Visualizations, Safety Concerns, and Recommendations. Include at least three visualizations with clear captions. Keep the tone professional and data-driven.

Guardrails

  • Do not fabricate data points; base all analysis on the provided dataset description.
  • Flag any assumptions about the data or missing information.
  • Stay within the scope of adverse event trend analysis; do not provide medical advice or regulatory conclusions.

Example Time frame: 'past 5 years', criteria: 'by region', dataset: 'FDA adverse event reports for drug X from 2019-2024'.

Follow-up prompts

  • What are the most significant safety signals we should investigate further?
  • How can we compare these trends across different treatments?
  • What additional data would improve the accuracy of this analysis?