Transforming Patient Care with AI: Outcomes, Safety, and Quality at Scale

Artificial intelligence is no longer confined to experimentation in healthcare, it is becoming embedded in real-world clinical practice. As healthcare systems face mounting pressure to improve patient outcomes, increase efficiency and deliver safer, data-driven care, leaders are being challenged to move from ambition to implementation.

This in-person meeting, organised by Elsevier in paid partnership with The Royal Society of Medicine, brings together senior healthcare leaders, clinicians, innovators and decision-makers to explore how AI can be implemented responsibly and effectively to transform patient care at scale. Through panel discussion, evidence-based case studies and interactive discussion, attendees will gain practical guidance from organisations already deploying AI in clinical settings, including Guy's and St Thomas' NHS Foundation Trust and Imperial College.

Designed to provide actionable insight into what successful AI adoption looks like in practice, this event will help attendees navigate complexity, avoid common pitfalls and confidently lead AI transformation within their own organisation.

Why attend?

• Hear evidence-based case studies and implementation experiences from industry leaders, including Jan Herzhoff (President, Global Health Markets, Elsevier), Rahul Goyal (Clinical Executive, Elsevier), Summer Main (Senior Corporate Council, Elsevier) and Yael Misrahi (Commercial Director, Elsevier)
• Explore practical approaches to governance, ethics, patient safety, regulation and risk management as AI adoption accelerates
• Discover how to integrate AI into clinical workflows, measure impact and move from isolated pilots to organisation-wide transformation
• Join an influential audience of healthcare leaders and innovators for high-value discussion, collaboration and networking opportunities

Aims of the meeting:

• To explore how artificial intelligence can be applied in clinical practice to transform patient care, improve outcomes and deliver quality at scale
• To provide practical, evidence-based guidance on implementing AI safely, including governance, risk management, data quality and ethical considerations
• To equip attendees with actionable approaches to integrating AI into clinical workflows and moving from pilot to organisation-wide adoption

Learning outcomes:

• Evaluate applications of AI in various care settings
• Identify and address common pitfalls in AI deployment
• Apply governance, risk management and ethical frameworks when planning and implementing AI in clinical settings

Who should attend?

This event is designed for senior leaders and decision-makers across healthcare, including:

• C-suite executives and board members, including CEOs, CMOs, CNOs, CIOs and Medical Directors
• Clinical leaders within innovation, safety or quality remits, including Clinical Directors and Consultant Physicians
• Digital, data and AI professionals, including Chief Digital Officers, Directors of Digital Transformation and Clinical Informatics Leads
• Governance, safety and compliance professionals, including Directors of Patient Safety, Clinical Governance leads and Risk and Compliance Directors
• Health policy advisors and healthcare strategy directors

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