Thomas Barton
Senior Director, Business Process, Medical Communications and Pharmacovigilance
Expertise:
With more than 20 years of experience in information management, computer system validation and GxP system support, Thomas leads the business process team supporting regulated systems for medical information services and pharmacovigilance and has successfully implemented a state-of-the-art medical information and analytics platform to support the call center. Throughout his career, he has focused on applying innovation and emerging technologies to improve compliance and efficiency in order to drive differentiation in the marketplace.
He is currently exploring emerging automation technologies (AI) to further enhance the medical information services and pharmacovigilance services. Thomas holds degrees in computer programming and computer system applications from College of the Redwoods, California.
Articles by Thomas Barton
Inspection Readiness: Building a Continuous Evidence Model
Stop treating regulatory inspections like a fire drill. Discover how to build a continuous, AI-powered evidence model that keeps your quality system permanently audit-ready. When an FDA or regulatory inspection is announced, what happens next in your organization? If the answer involves late nights, chasing overdue tasks, reconciling inconsistent data, and a frantic scramble to assemble a […]
AI in Quality Systems: From Dashboard Reporting to Predictive Compliance Posture
Quality teams are drowning in data. Between deviations, CAPAs, complaints, audits, and supplier metrics, the volume of information is staggering. Yet, many quality leaders are still relying on retrospective dashboards that only explain what went wrong after the risk has already accumulated. Tracking lagging indicators like closed CAPAs and overdue training is important, but it only describes […]
From Quality Metrics to Compliance Signals: What Should Executives Actually Be Measuring?
True quality system maturity requires a fundamental shift: moving from retrospective quality metrics to predictive compliance signals. Instead of just tracking volume, executives must analyze deviation recurrence, CAPA effectiveness, and hidden patterns across their eQMS. By leveraging specialized AI agents to monitor these signals under human oversight, organizations can detect process drift and emerging vulnerabilities long before they […]
Rethinking Quality Systems Compliance in the Age of AI
For pharmaceutical and medical device organizations, the baseline for regulatory trust has fundamentally shifted. Compliance is no longer proved by a shelf of well-written procedures or confident explanations during an inspection. Rather, it is demonstrated by a system’s ability to show that processes are deeply understood, continuously monitored, and actively controlled. Yet, many teams still struggle with simple procedures. While […]