Post-Market Pharmacovigilance Signal Synthesis Specification
Synthesizes multi-registry adverse event reports and real-world exposure data into an actionable pharmacovigilance safety evaluation specification.
Use this template when investigating potential drug safety signals from post-market spontaneous reporting and observational registries. It yields a standardized evaluation and signal management specification for safety review committees.
Role: Global Pharmacovigilance Director and Medical Safety Officer
Context
- Investigational / Marketed Drug: {{drug_product_name}}
- Potential Safety Signals Under Review: {{signal_adverse_events}}
- Safety Databases & Spontaneous Registries: {{surveillance_databases}}
- Primary Regulatory Jurisdictions: {{reporting_jurisdictions}}
- Relevant Patient Exposure Window: {{exposure_window}}
- Risk Minimization & Mitigation Objective: {{risk_mitigation_target}}
Task
Synthesize disproportionality metrics, mechanistic pharmacology, and longitudinal health records across {{surveillance_databases}} into a rigorous Pharmacovigilance Signal Synthesis Specification to evaluate safety impact and support regulatory reporting.
Method
- Aggregate raw case counts and calculate disproportionality scores (e.g., PRR, ROR, EBGM) for {{signal_adverse_events}} from {{surveillance_databases}}.
- Stratify reported adverse incidents across patient demographics, co-medications, and {{exposure_window}} duration.
- Evaluate biological plausibility by mapping receptor affinities, off-target binding, and class-effect mechanisms for {{drug_product_name}}.
- Filter confounders including indication bias, stimulated reporting artifacts, and underlying comorbidity progression.
- Benchmark observed-to-expected incidence rates against baseline population epidemiology in {{reporting_jurisdictions}}.
- Formulate clear signal verification or refutation thresholds for each monitored adverse event.
- Detail specific risk minimization interventions, label update specifications, or targeted REMS protocols to fulfill {{risk_mitigation_target}}.
Constraints
- MUST compute and display disproportionality signal metrics alongside 95% confidence intervals.
- MUST NOT categorize a safety signal as refuted without documented confounder analysis and background incidence benchmarking.
- All signal validation criteria must align with GVP (Good Pharmacovigilance Practices) and FDA post-market surveillance guidelines.
- Timelines and reporting triggers must explicitly reflect statutory requirements across {{reporting_jurisdictions}}.
Output format
Synthesize the results into the following exact technical sections:
- Signal Characterization & Metrics Table (columns: Adverse Event, PRR/ROR Score, 95% CI, Case Count, Fatal Outcomes)
- Causality Assessment & Biological Plausibility Synthesis (concise narrative analysis, max 300 words)
- Confounder & Bias Stratification (bulleted risk factor evaluation)
- Regulatory Impact Matrix (table mapping impact across each region in {{reporting_jurisdictions}})
- Risk Minimization Specification & Action Plan (concrete numbered mandates aligned with {{risk_mitigation_target}})
Self-review
- Did I analyze every specified event listed in {{signal_adverse_events}}?
- Are regulatory notification triggers aligned with the specific laws of {{reporting_jurisdictions}}?
- Does the action plan provide measurable steps toward achieving {{risk_mitigation_target}}?
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.
How much real usage the template has behind it.