3-day Virtual Seminar

AI for Clinical Trial Documentation

Overview

This practical webinar explores how generative AI tools can support clinical trial documentation without replacing professional judgement, established procedures or required review and approval processes. Participants will examine realistic documentation use cases, including summarising lengthy information, creating structured first drafts, improving clarity, extracting actions, comparing document versions, preparing internal working materials and developing more effective prompts.

The session also focuses on responsible use. Attendees will consider AI hallucinations, confidentiality and sensitive data, source verification, human review, traceability, data integrity and the importance of working within organisational policies and validated processes. The aim is not to teach clinical research professionals how to conduct a clinical trial, but to show how AI can be used more effectively and responsibly as a productivity and documentation-support tool within clinical research environments.

Why you should Attend

AI can save significant time in document-heavy clinical research workflows, but inappropriate use can also introduce inaccurate content, confidentiality concerns, inconsistent records and over-reliance on machine-generated outputs. In a regulated environment, a polished AI response is not the same as an accurate, approved or compliant record.

This session helps clinical research professionals understand practical ways to use AI as a support tool while maintaining human oversight, protecting sensitive information and applying appropriate review controls. Attendees will leave with a clearer framework for gaining efficiency without allowing AI convenience to undermine documentation quality, traceability or professional accountability.

Areas Covered in the Session

• Understand where generative AI can support clinical trial documentation and where human judgement, established processes and professional accountability must remain 
  
• Recognise the limitations and risks of AI-generated content, including hallucinations, inaccuracies and plausible but incorrect information 
  
• Explore how AI can assist with document-heavy tasks, including summarising information, structuring content, extracting key points and supporting first drafts 
  
• Use effective prompting techniques to generate clearer, more relevant and controlled outputs for clinical documentation-related tasks 
  
• Understand how AI can support document review, including comparing information, identifying potential inconsistencies and organising complex material 
  
• Apply appropriate human oversight and verification, including checking AI outputs against reliable source information before they are relied upon 
  
• Consider confidentiality, privacy and sensitive-data risks when using generative AI within clinical research environments 
  
• Understand key compliance considerations, including data integrity, traceability, governance and responsible AI use within regulated workflows 
  
• Build a responsible AI workflow for clinical documentation, from selecting appropriate tasks and prompting through to review, verification and final approval
  

Who Will Benefit

• Clinical Research Associates (CRAs)
  
• Clinical Trial Managers and Clinical Project Managers
  
• Clinical Research Coordinators
  
• Clinical Operations Professionals
  
• Study Start-Up and Trial Support Teams
  
• Regulatory Affairs Professionals supporting clinical trials
  
• Quality Assurance and Clinical Quality Professionals
  
• Medical Writing and Clinical Documentation Teams
  
• CRO and Sponsor Operations Teams
  
• Managers responsible for AI adoption within clinical research functions