Protecting Clinical Capacity with Autonomous AI

About this webinar

The number of urgent skin cancer referrals to dermatology services in England has risen by ~10 per cent every year since 2020. As referral numbers begin to climb ahead of the annual summer peak, dermatology teams will be under increasing pressure to review these cases and provide a diagnosis within the 28 day target set out in the “Faster diagnosis standard”.

Timed to coincide with World Cancer Day, this webinar examines the use of AI in efficiently triaging patients with benign or non-cancerous lesions away from urgent referral pathways, and helping to reallocate specialist time to patients most in need.

With more than 400,000 patients waiting on routine pathways – on which more than a third of high risk cancers are detected – releasing clinical capacity across USC pathways is critical. Doing so will help patients access timely diagnosis and treatment and maintain long-term positive trends in ten-year survival rates for melanoma and other high risk cancers.

Speakers

• Darren Jalink – Head of Commercial, Skin Analytics
• Ryan Kerstein – Consultant Plastic Surgeon, Buckinghamshire Healthcare NHS Trust

Discussion points

• 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.