- Source-Pure Notebooks: Create one dedicated notebook per clinical study to avoid "information bleed" and maintain focus.
- Curated Data Ingestion: Upload authoritative sources (e.g.,finalized protocols, signed SOPs, IRB approval letters) and demand citations to verify AI-generated insights.
- Collaborative Workflows: Share notebooks with team members for real-time collaboration, allowing them to add meeting notes or ask questions about trial data. Practical ways in which leaders and project professionals can strengthen the feedback loops between thinking, doing and delivering
- Highly interactive sessions, in a safe environment to share issues, challenges and learning
- Peer to peer advice
- Tools and tips from expert facilitator(s)
- Program leaders and project managers in the biopharma industry
- Share your own challenges with like-minded people
- Pick up some successful approaches from others and opportunity to ask questions
- Hear some tips from our expert moderator
- Elect to attend further sessions
- 1-hour virtual session
- Free of charge (booking required)
- 8 – 16 participants
Project Management with NotebookLM for Clinical Teams: Where AI tools meet Execution
NotebookLM from Google is an AI-powered research assistant that functions as a secure, “source-grounded” project knowledge base, which can transform clinical trial management by analyzing up to 50 complex, scattered documents—such as protocols, regulatory guidelines, and meeting notes—to provide, accurate, citation-backed answers. It operates within a “fenced pasture,” preventing the AI from using external data, thereby ensuring high reliability for sensitive clinical documentation.
Of note: There is currently conflicting information regarding NotebookLM’s HIPAA compliance. While publicly available versions of NotebookLM are not considered HIPAA-compliant, recent documentation indicates that specific enterprise versions (NotebookLM Enterprise) support HIPAA certifications
We’ll examine:
Core Uses in Advanced Clinical Trial Management:
• Rapid Protocol Analysis: Upload complex study protocols to instantly query inclusion/exclusion criteria, drug dosage schedules, or safety reporting procedures across multiple amendments.
• Regulatory & Safety Surveillance: Analyze hundreds of pages of ICH GCP guidelines, 21 CFR Part 11, and GDPR documentation to generate compliance checklists, identify required safety updates, and compare trial documents against regulatory requirements.
• Cross-Study Synthesis: Consolidate data from multiple clinical studies or diverse sources (PDFs, YouTube videos of study huddles, meeting transcripts) to identify trends, patient enrollment bottlenecks, or discrepancies.
• Meeting & Action Item Tracking: Upload meeting transcripts from e.g. clinical teams to automatically extract action items, track project progress, and verify if previous action items were addressed.
• Auditor Preparation: Generate comprehensive, structured “briefing documents” or FAQs on specific trial aspects (e.g., adverse event tracking) to prepare for audits.
• Audio Overview for Quick Updates: Use the audio feature to create “synthetic podcasts” that summarize complex study changes, ideal for quick, high-level updates for busy stakeholders.
Together, we’ll discuss to which extend AI tools such as NotebookLM or similar tools are used in the business. We shall explore strengths and weaknesses of such applications.
