Protecting clinical capacity with autonomous artificial intelligence

As skin cancer referrals continue to surge, NHS trusts face growing pressure on already limited dermatology capacity. In this webinar, our partner Skin Analytics, will explore how regulated, clinically validated artificial intelligence (AI) can give trusts a safer, faster way to handle demand, without adding to existing workforce strain.

Key takeaways

• Discover how autonomous AI triage can safely discharge benign skin lesion cases, freeing up capacity.
• Learn from case studies showing the operational impact, clinical safety outcomes and what it takes to successfully implement regulated AI in an NHS setting.
• Get clear guidance on how to navigate rising skin cancer referrals and how AI as a medical device can support sustainable clinical workflows.

With one in four consultant dermatologist posts unfilled and skin cancer generating the one of the highest volume of cancer referrals, NHS trusts are under intense pressure. There has never been a more crucial time to explore alternative solutions.

• Unlocking capacity: Solutions that support existing models of care and explore how they can be embedded to benefit trusts in the long-term.     
• Deployment and optimisation: What effective AI rollout requires, including operational workflows, financial considerations and governance. 
• Managing demand: Strategies to manage rising referrals, from alternative models of care to mitigating the risks of growing waiting lists.

This session is tailored for key NHS decision-makers, including:

• Chairs
• Chief executives
• Chief information officers/digital leads
• Company secretaries
• Communications leads
• Directors of operations
• Chief operating officers
• Finance directors
• Commercial leads
• Medical directors
• Non-executive directors
• Strategy directors