Navigating the AI Landscape: Expanding the Toolbox (Part 2) and Having a Little Fun Along the Way
AI can support much more than drafting content. In Part 2 of our series, we explore practical tools that help teams organize information, improve communication, capture meeting insights, visualize complex concepts, and work more efficiently so experts can stay focused on what matters most.
Why 95% Compliance Isn’t Enough: The Hidden Cost of That 4–5% Gap
A 95% compliance rate sounds strong, until you calculate what it means at 100,000 cases a year. Here’s what’s actually hiding in that gap, and the four questions every sponsor should ask before signing with a PV vendor.
The Centaur Model: What the Future of Pharmacovigilance Actually Looks Like
AI isn’t replacing pharmacovigilance professionals. It’s changing how they work. Learn why the centaur model, where humans direct AI rather than defer to it, is emerging as the standard for regulated safety operations.
The True Cost of Cheap PV: A Framework for Evaluating Your Options
AI savings numbers are easy to put in a proposal. What’s harder to find is what happens when something goes wrong. Here’s a framework for pricing in the risk that vendor pitches leave out, plus four questions worth asking before you switch.
Five Ways AI is Already Changing Case Processing and Where Humans are Still Needed
From triage to causality assessment, AI is changing how case processing teams work. We break down five areas where automation is making an impact, and the human expertise that still has to anchor every decision.
Novel Treatments for Mental Health and Considerations for Risk Management
Psychedelic-assisted therapies are emerging as a promising frontier for treatment-resistant mental health conditions. As the regulatory landscape evolves, robust risk management frameworks will be critical to bringing these therapies safely to patients. UBC explores the current landscape and what approval pathways may mean for sponsors.
AI vs. Automation: What Patient Services Teams Need to Know
Automation and AI get used interchangeably, but they’re built for different jobs. Automation handles structured, rule-based tasks with the predictability regulated environments require. AI handles variable, interpretation-heavy work like conversational agents and call pattern analysis. This piece breaks down where each delivers value and how patient services teams can apply both without adding unnecessary complexity.
Reality Check: AI in Pharmacovigilance Is Not What We Think
AI is everywhere in PV conversations, but far less mature in practice. Here’s what stood out from Why Summit: Future of PV: validation bottlenecks, signal inflation, and why the real challenge isn’t technology.
Key Insights from the 2026 REMS Industry Consortium Annual Meeting
AI, standardization, and a shifting FDA landscape. Here’s what the 2026 RIC Annual Meeting revealed about the future of REMS.
