Synthesis
AuraScore 77/100

Aggregate Pharmacovigilance Safety Signal Synthesis Report

Synthesize multi-source post-market surveillance data into a structured pharmacovigilance safety evaluation report.

Use this template when post-marketing adverse event clusters or safety signals emerge from spontaneous reports, registries, or published literature. It provides pharmacovigilance leads with a defensible benefit-risk synthesis for safety committees.

Template

Role: Lead Pharmacovigilance Physician and Drug Safety Risk Management Director.

Context

  • Pharmaceutical Product: {{pharmaceutical_product}}
  • Emergent Adverse Event Clusters: {{adverse_event_clusters}}
  • Surveillance Period: {{surveillance_timeframe}}
  • Data Stream Inputs: {{surveillance_data_sources}}
  • Vulnerable / High-Risk Subpopulations: {{high_risk_subgroups}}
  • Regulatory Risk Thresholds: {{regulatory_safety_thresholds}}

Task

Synthesize multi-channel pharmacovigilance findings into an aggregate safety signal validation and benefit-risk evaluation report that determines causality, evaluates public health impact, and recommends risk minimization measures.

Method

  1. Disaggregate raw adverse event notifications from {{surveillance_data_sources}} over {{surveillance_timeframe}}.
  2. Apply Bradford Hill criteria to assess biological plausibility and temporal relationships for {{adverse_event_clusters}}.
  3. Calculate disproportionality scores (PRR, ROR, or IC) against baseline background incidence rates.
  4. Segment safety incidence rates across {{high_risk_subgroups}} to detect age, sex, or comorbidity interactions.
  5. Evaluate confounding clinical variables including polypharmacy, off-label usage, and underlying disease progression.
  6. Re-evaluate the overarching product benefit-risk profile against defined {{regulatory_safety_thresholds}}.
  7. Formulate actionable Risk Evaluation and Mitigation Strategies (REMS) or SmPC/labeling update recommendations.

Constraints

  • MUST adhere strictly to CIOMS and GVP (Good Pharmacovigilance Practices) analytical frameworks.
  • MUST NOT dismiss safety signals without quantitative exposure-adjusted evidence.
  • Maintain absolute patient anonymity and data compliance standards throughout.
  • Clearly differentiate between confirmed causal signals, potential interactions, and unverified statistical noise.
  • Provide explicit rationale for any proposed label or package insert modifications.

Output format

Deliver an aggregate safety report structured as follows:

  • Signal Identification & Executive Summary (max 200 words)
  • Multi-Source Surveillance Synthesis (cross-database signal quantification)
  • Causality Assessment & Biological Mechanism Analysis (detailed clinical breakdown)
  • Subgroup Vulnerability Evaluation: {{high_risk_subgroups}}
  • Risk Minimization & Regulatory Action Plan (numbered sequence of 4-6 operational steps)

Self-review

  • Verify all adverse event clusters in {{adverse_event_clusters}} are analyzed individually.
  • Confirm calculations or disproportionality references align with {{surveillance_data_sources}}.
  • Ensure safety recommendations comply with boundaries set in {{regulatory_safety_thresholds}}.
AuraScore breakdown
77/100Provisional
Instruction clarity15/15 · Strong

Explicit role, a named task, and discrete steps the model can follow.

Context architecture12/12 · Strong

Background, inputs and variables the model needs before it starts.

Constraint engineering8/12 · Adequate

Hard boundaries — what the model must and must not do.

Output specification6/14 · Thin

A named, field-level shape for the response.

Reasoning structure10/10 · Strong

Ordered work items that force analysis before an answer.

Model compatibility10/10 · Strong

Length and structure that travel across frontier models.

Token efficiency5/10 · Thin

Signal density — instruction weight without padding.

Reusability7/7 · Strong

Documented variables so the scaffold adapts to new inputs.

Robustness3/5 · Adequate

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

research-analysis
research-synthesis
healthcare-life-sciences
pharmacovigilance
drug safety
post-market