Latest Articles

  • Rethinking the Architecture of Adverse Event Processing

    Deploying AI agents to handle data collection, coding, medical review, and quality-checking makes signal management autonomous at the processing stage. read more

  • The Next Test for AI in Pharmacovigilance Is Trust, Not Accuracy

    An AI model can be right and still not be trusted. That’s what Bristol Myers Squibb (BMS) found six months into rolling out AI-powered adverse event processing: while F1 performance scores were tracking upward, the audit trail found reviewers still reopening cases the system had already cleared. read more

  • An Interview with Rod Ketner, PhD

    Sponsors sometimes optimize too narrowly for the next milestone instead of the full development path. A formulation may be sufficient for an early study but still be poorly positioned for robust scale-up, transfer, or validation. That’s where delays and added costs show up. read more

  • Beyond Case Management

    In large pharma, a staggering 40 to 50 percent of expert pharmacovigilance time is still consumed by tasks far removed from active, scientific PV - such as the mechanics of scheduling reports, tracking down contributors, and managing documents. read more