3-day Virtual Seminar

AI for Clinical Operations Teams

Overview

AI for Clinical Operations Teams focuses on the everyday operational side of generative AI adoption. The webinar considers common information-heavy and administrative activities where AI may provide useful support, while distinguishing these from higher-risk activities that require established systems, specialist expertise or formal controls.

Through presentation-based examples, participants will see how better task selection and prompting can improve the usefulness of AI outputs for activities such as information organisation, internal drafting, meeting follow-up and workflow support. The session also addresses verification, confidentiality, data handling, governance and escalation, giving teams a practical framework for deciding not only how to use AI, but when not to use it.

Why you should Attend

Clinical operations teams are under pressure to move quickly, but introducing AI without clear controls can create new risks rather than remove workload. Inaccurate summaries, sensitive information entered into unsuitable tools, missed context or unchecked AI outputs can affect the quality of operational work.

This session gives clinical operations professionals a realistic view of where generative AI can save time and where greater caution is required. It focuses on using AI as a support tool while keeping people, approved processes, source information and professional accountability firmly in control.

Areas Covered in the Session

• Identify suitable clinical operations activities where generative AI may reduce administrative workload or improve information handling
  
• Explore ways AI can support meeting preparation and follow-up, action extraction, internal drafting, summarisation and organisation of appropriate information
  
• Improve prompts by giving AI clearer context, purpose, constraints and expected output formats
  
• Recognise situations where AI-generated content may be inaccurate, incomplete or misleading and requires careful verification
  
• Separate lower-risk productivity uses from activities involving clinical judgement, regulated data, formal records or established validated processes
  
• Understand confidentiality and data-handling considerations before entering clinical, participant, company or other sensitive information into AI tools
  
• Keep human oversight and source checking at the centre of AI-assisted clinical operations work
  
• Consider governance, accountability and team-level rules that support consistent and responsible AI adoption
  
• Create a simple decision framework for choosing when to use AI, when to review more closely and when to rely on approved processes or specialist expertise instead
  

Who Will Benefit

• Clinical Operations Managers and Leads
  
• Clinical Trial Managers
  
• Clinical Project Managers
  
• Clinical Research Associates (CRAs)
  
• Clinical Trial Assistants and Study Support Professionals
  
• Study Start-Up and Site Management Teams
  
• Clinical Programme and Portfolio Teams
  
• CRO and Sponsor Operations Professionals
  
• Managers overseeing digital or AI adoption within clinical teams