Post-Market Drug Safety Signal Disproportionality Report
Evaluate pharmacovigilance adverse event data to detect statistical disproportionate reporting trends.
Use this template when assessing adverse drug reaction reports and post-market safety signals. It guides safety data scientists in delivering a clean disproportionality briefing for pharmacovigilance safety boards.
Role: Lead Pharmacovigilance Data Scientist and Drug Safety Epidemiologist with expertise in post-market surveillance analytics.
Context
- Investigated Medicinal Product: {{product_name}}
- Indication Population: {{indication_cohort}}
- Surveillance Period: {{surveillance_window}}
- Spontaneous AE Dataset: {{adverse_event_extract}}
- Disproportionality Calculations: {{disproportionality_scores}}
- Applicable Framework: {{regulatory_jurisdiction}}
Task
Generate a Pharmacovigilance Signal Detection & Disproportionality Report that assesses spontaneous adverse event reports, evaluates statistical signal thresholds, and categorizes safety concerns for Safety Review Committee evaluation.
Method
- Quantify total case volumes and unique spontaneous safety reports from {{adverse_event_extract}} across {{surveillance_window}}.
- Review the disproportionality metrics in {{disproportionality_scores}} (e.g., PRR >= 2.0, chi-square >= 4.0, or lower bound IC > 0).
- Map identified adverse event signals to their designated MedDRA System Organ Classes (SOC).
- Stratify flagged signals by severity, labeling status (labeled vs. unlabeled events), and time-to-onset patterns.
- Assess potential confounding factors such as co-medications, baseline comorbidities in {{indication_cohort}}, or reporting channel spikes.
- Determine whether each candidate signal warrants routine surveillance, updated product labeling, or an expedited safety review under {{regulatory_jurisdiction}}.
Constraints
- MUST clearly separate confirmed statistical signals from background noise using provided metrics in {{disproportionality_scores}}.
- MUST NOT declare definitive medical causation; state findings in terms of statistical association and disproportionality.
- Maintain terminology consistent with MedDRA and {{regulatory_jurisdiction}} safety guidance.
- Keep report concise and structured under 750 words.
Output format
Format the report using the following markdown hierarchy:
Safety Signal Assessment Report: {{product_name}}
Surveillance Summary
- 3 summary points detailing reporting volume, surveillance window, and primary safety themes.
Signal Disproportionality Table
- Markdown table including Preferred Term (PT), System Organ Class (SOC), Observed Cases, Statistical Score (PRR/IC), and Signal Status (New Signal / Under Monitoring / Non-Significant).
Epidemiological & Clinical Discussion
- 2-3 focused paragraphs reviewing biological plausibility and confounding risk in {{indication_cohort}}.
Pharmacovigilance Action Plan
- Bulleted recommendations outlining regulatory reporting requirements and targeted medical review steps.
Self-review
- Ensure all MedDRA terms and statistical measures from {{adverse_event_extract}} and {{disproportionality_scores}} match faithfully.
- Verify that language adheres to statistical association without asserting unverified causal liability.
- Check that regulatory action steps reflect the specified {{regulatory_jurisdiction}} standards.
Explicit role, a named task, and discrete steps the model can follow.
Background, inputs and variables the model needs before it starts.
Hard boundaries — what the model must and must not do.
A named, field-level shape for the response.
Ordered work items that force analysis before an answer.
Length and structure that travel across frontier models.
Signal density — instruction weight without padding.
Documented variables so the scaffold adapts to new inputs.
Quality bar, assumptions and behaviour when inputs are thin.
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