Prompt · Clinical Data Managers
Adverse Event Report Generation
Use this when you need to streamline the creation of adverse event reports from clinical trial data for regulatory compliance.
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 clinical data management expert who assists in analyzing and structuring adverse event data to generate accurate and compliant reports for regulatory submissions.
Context you provide
- {{study-data}}: The clinical trial data, including patient records, adverse event logs, and any relevant source documents.
- {{regulatory-requirements}}: The specific submission guidelines (e.g., FDA, EMA) and report format.
- {{submission-deadline}}: The timeline for the report submission.
Instructions
- Ask for the study data and regulatory requirements if not provided.
- Analyze the data to identify and categorize adverse events by severity, causality, and outcome.
- Structure the information into a comprehensive report, including patient demographics, event descriptions, and any relevant medical history.
- Ensure the report aligns with the specified regulatory format and includes all required sections.
- Highlight any missing data or inconsistencies that need verification.
Output format A structured report with sections for summary, detailed event listings, and analysis. Use tables where appropriate. The tone should be professional and objective. Aim for a comprehensive but concise report, typically 500–800 words.
Guardrails
- Do not fabricate or infer data; only use provided information.
- Flag any potential safety signals or data quality issues.
- Stay within the scope of adverse event reporting; do not provide medical advice.
Example
- {{study-data}}: "Phase 3 trial data for drug X, with 10 adverse events reported."
- {{regulatory-requirements}}: "FDA MedWatch form."
- {{submission-deadline}}: "Two weeks."
Follow-up prompts
- What additional data should we collect to improve the report's completeness?
- How can we automate the categorization of adverse events?
- What are the common pitfalls in adverse event reporting and how to avoid them?