Pharmacovigilance (PV) is a mission-critical function within life sciences, responsible for monitoring the safety of pharmaceutical products and ensuring compliance with global regulatory standards. In a landscape shaped by increasing data volumes, stricter regulations, and global distribution of therapies, effective pharmacovigilance hinges on the ability to measure, monitor, and act upon key performance indicators (KPIs) and metrics.
These KPIs are more than operational numbers—they are vital instruments for improving product safety, managing risk, maintaining regulatory compliance, and delivering on the commitment to patient well-being.
Risk Management: KPIs help detect emerging safety signals and assess benefit-risk profiles in real-time.
Compliance & Inspection Readiness: Regulatory agencies like FDA, EMA, and MHRA scrutinize PV systems for timeliness and completeness. Non-compliance can lead to severe penalties or market withdrawal.
Operational Efficiency: Metrics identify bottlenecks and inefficiencies in case processing, enabling optimization.
Strategic Planning: Data-driven insights help forecast resource needs, support budgeting, and streamline partner/vendor performance.
Definition: Measures the time taken to process an Individual Case Safety Report (ICSR) from intake to submission.
Why It Matters: Regulators set strict timelines (e.g., 7/15 calendar days for serious and unexpected adverse events).
Target: >95% compliance with regulatory timelines.
Definition: Evaluates completeness and accuracy of key case fields such as patient details, suspect drug, adverse event, and reporter.
Why It Matters: Incomplete data leads to downstream processing delays, compliance risks, and signal detection failures.
Target: >98% field completeness for critical data elements.
Definition: Number of ICSRs received, processed, and submitted within a defined period.
Why It Matters: Tracks workload, team performance, and identifies needs for automation or resourcing.
Target: Benchmarked to product portfolio and clinical activity.
Examples:
Time to signal detection
Time to signal validation
Number of validated vs. false-positive signals
Why It Matters: Timely detection and evaluation of safety signals are central to proactive safety surveillance.
Target: Signal validation completed within 30 days of detection.
Definition: Percentage of cases submitted to regulators within required timelines (e.g., FDA, EudraVigilance).
Why It Matters: Critical for maintaining licenses, avoiding penalties, and ensuring patient safety.
Target: >99% on-time submission.
Definition: Tracks submission timelines of scheduled periodic reports.
Why It Matters: Delays in PSURs can jeopardize marketing authorizations.
Target: 100% of reports submitted on or before due date.
Definition: Number of queries received post-submission from regulatory authorities.
Why It Matters: High query rates indicate data quality or compliance issues.
Target: <2% of total submissions.
Definition: Average cost incurred per processed ICSR.
Why It Matters: Helps monitor budget adherence and guides investment in automation/outsourcing.
Target: Varies by organization, product complexity, and case source.
Examples:
Case quality score from CRO partners
SLA compliance for processing timelines
Why It Matters: Many PV operations rely on external vendors; their performance directly impacts compliance.
Target: 100% adherence to service level agreements.
Examples:
% of cases auto-triaged or auto-coded
Reduction in manual workload or errors due to automation
Why It Matters: As AI tools are increasingly integrated, it's vital to track their impact on efficiency and accuracy.
Target: At least 30–40% improvement in cycle time or labor cost with automation.
Tracks how quickly benefit-risk assessments are conducted in response to new safety data or emerging issues.
Measures completeness and integrity of audit logs and system traceability for all safety activities.
Monitors whether PV team members have completed mandatory safety training and SOP refreshers.
Modern PV platforms, especially those built on cloud-native infrastructures like Salesforce, enable real-time tracking, automation, and analytics across all KPIs. Integrated solutions—like Cloudbyz Safety & Pharmacovigilance—go beyond traditional systems by:
Automating case intake, triage, and coding workflows.
Offering real-time dashboards for KPI monitoring.
Enabling AI-based signal detection and medical review assistance.
Streamlining compliance reporting and audit readiness.
With built-in configurability, Cloudbyz ensures every organization can define, track, and act on KPIs aligned with their process maturity, regulatory jurisdictions, and therapeutic focus areas.
The effectiveness of a pharmacovigilance operation hinges on more than just meeting regulatory deadlines. It’s about building a data-driven, agile, and transparent safety culture—one that empowers teams to protect patients proactively while staying audit-ready.
By closely monitoring these KPIs and embedding them within daily operations through modern platforms like Cloudbyz, organizations can enhance compliance, streamline processes, and most importantly—ensure the safety of the therapies they bring to market.