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About
We know the adoption of AI tools is growing within the healthcare industry, but healthcare professionals find themselves seeking greater transparency around whether the tools they’re using are trustworthy.

For more than two centuries, Elsevier has supported clinicians, researchers and educators with authoritative, evidence‑based medical knowledge. That same foundation now underpins a new generation of AI‑enabled clinical solutions.​

ClinicalKey AI is designed specifically for healthcare, combining trusted, curated full‑text medical content with responsible AI design principles, clinician oversight and enterprise‑grade data protection. Answers are grounded in evidence, with clear traceability that supports transparency, auditability and informed clinical decision‑making.

Featuring insights from key opinion leaders, we will break down what it means to build trust in AI tools and why ClinicalKey AI can be your trusted partner in the moments that matter. On June 3 a link will go directly to your inbox to watch the full showcase.
on-demand webinar
Agenda
  • Transparency: Clinicians don't just need answers. They need to know where those answers come from, and they need to be able to check.
  • Responsibility: In healthcare, how an AI system is built and governed matters just as much as what it produces.
  • Usability: Even the most transparent, responsibly built AI won't make a difference if it doesn't fit into how clinicians actually practice.
  • Security: Trust in AI also comes down to how data is handled. And this is an area where there's a real organisational risk that doesn't always get enough attention.
  • Timeliness: In clinical environments, this is about getting the right information into the hands of the right clinician at the moment a decision is being made.
Presenter
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Mathew Williams
Vice President of Global Go-To-Market for Clinical Solutions at Elsevier
Mathew is Vice President of Global Go-To-Market for Clinical Solutions at Elsevier, where he focuses on global strategy, clinical innovation, and the evolving role of information, analytics, and AI in supporting healthcare professionals.

Across roles in Canada, the United States, Europe, and Asia-Pacific, Mathew has developed a broad perspective on healthcare markets, customer needs, and the practical adoption of clinical decision-support solutions. His work reflects a commitment to advancing evidence-based healthcare, fostering global partnerships, and helping clinical organizations navigate innovation in ways that improve outcomes for patients worldwide.
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