AI in Regulatory Intelligence, Clinical Evaluation & PMS

In this Friday In-Focus session, the Medboard team shares how a unified compliance platform can connect regulatory intelligence, literature review, and PMS/vigilance into one workflow—using AI to remove repetitive tasks while keeping humans accountable for judgment-heavy decisions. You’ll learn: • Why automation demand is rising (manual work, siloed systems, operational risk) • Medboard’s “unified platform” approach: regulatory intelligence + literature + PMS/vigilance • How real-time updates across 225+ countries reduce reaction time and compliance risk • The four-step compliance workflow: form design → data collection → triage → detailed review/reporting • AI tools that help with translation, keywording, screening, extraction, and report drafting—without removing oversight • Governance and ethics: why explainable outputs + citations matter and where GenAI must be controlled • How metrics/KPIs help compliance teams communicate with executives (reaction time, throughput, risk indicators) • Collaboration opportunities for manufacturers and consultancies interested in improving compliance workflows Speakers also cover adoption strategy (APIs + integrations), confidentiality concerns, and why “AI should accelerate, not replace regulatory professionals.” Chapters 00:00 – Welcome & session framing: why compliance automation matters now 04:22 – The pain point: manual checks + disconnected systems create risk and inefficiency 07:35 – Medboard overview: unified platform connecting regulatory intelligence, literature, and PMS/vigilance 08:50 – The four strategic drivers: knowledge access, productivity, governance, job satisfaction 14:28 – Real-time regulatory updates from 225+ countries: faster reaction times 20:18 – Standard workflow model: form design → collection → triage → review/reporting 21:47 – Embedded AI tools: translation, screening, extraction, drafting, and explainable citations 26:28 – Automation vs judgment: what should be deterministic vs human-controlled 31:01 – KPIs that matter: measuring reaction time and communicating risk to leadership 34:00 – Ethics & context: why human oversight is essential (AI doesn’t “understand ethics”) 35:25 – Enterprise AI: confidentiality, privacy, governance policies, and verification expectations 42:40 – Demo: deterministic search + AI-assisted research with citations 44:13 – Dashboards: appraisal criteria + company context for tailored intelligence 47:07 – Automation examples: translations, flowchart metrics, requirement extraction 50:08 – Multi-document synthesis: UDI compliance, literature reviews, SOP drafting support 52:55 – Task management + report drafting: turning insights into actions 54:24 – Future webinars + ongoing community engagement 55:00 – Who uses the platform: manufacturers, regulators, vigilance teams, consultancies 56:18 – Partnership invitation: consultancies/manufacturers + readiness evaluations 56:55 – Closing notes + follow-up actions (sharing chat file, partnership contact)