PV Quality

PV Quality is a pharmacovigilance quality management platform from RxLogix designed to support ongoing quality oversight across drug safety operations. It is built for PV and quality assurance teams that need to detect issues early, manage corrective and preventive actions (CAPAs), and maintain inspection-ready documentation in line with GVP and FDA quality system expectations.

The platform shifts quality management from a reactive to a predictive model by combining rule-based logic and machine learning to identify deviations in case and submission data before they affect compliance. All quality actions, CAPA workflows, and audit trails are managed within a single centralized system, supporting full traceability from issue detection through to resolution and effectiveness checks.

Key Capabilities

• AI-Powered Rules Engine: Automatically detects quality issues in cases and submissions using rule-based logic and machine learning before they reach a compliance impact.
• No-Code Quality Rules Configuration: Allows teams to configure sampling strategies and compliance checks without requiring technical development resources.
• Centralized Quality Dashboard: Provides a single unified view of CAPAs, deviations, and issue logs, structured for inspection readiness.
• Configurable Sampling Strategies: Supports tailoring of quality reviews to an organization's specific risk model through no-code configuration.
• Predictive Analytics: Tracks quality trends by region, vendor, product, or user to identify patterns and help prevent recurring deviations.
• Unified CAPA and Audit Control: Manages CAPAs, deviations, and audit trails in one system, covering the full lifecycle from detection to resolution.
• Audit-Ready Records: Maintains fully traceable documentation at every step, including effectiveness checks, to support regulatory inspections.

Quality Oversight Features

• Inspection-Ready Architecture: GxP-compliant design intended to support regulatory confidence across global markets.
• End-to-End Traceability: Every quality action, CAPA, and resolution is tracked with complete audit trails.
• Global Scalability: Workflows can be adapted for both local and global quality processes.
• Reduced Manual Workload: Intelligent automation is described as reducing manual review effort by up to 50%, allowing teams to focus on strategic oversight activities.

Workflow Steps

1. Quality issues are detected automatically in case and submission data using the AI-powered rules engine.
2. Detected deviations are logged centrally and made visible through the unified quality dashboard.
3. CAPA workflows are initiated and tracked within the platform, with all actions recorded for traceability.
4. Trends are analyzed by region, vendor, product, or user to support predictive quality management.
5. Effectiveness checks are documented, completing the audit trail from detection through resolution.

PV Quality integrates with enterprise platforms including Argus, Veeva, Salesforce, and Medidata. It is part of the broader RxLogix PV SaaS AI platform, which also includes modules for case management, signal detection, risk management, and regulatory publishing, among others.