Episode 50: Harnessing AI to improve cancer outcomes in north east London

In this episode of Taking Control of Cancer, host Steve Bland is joined by Wayne Douglas, Diagnosis and Treatment Programme Lead, and Angela Wong, Chief Medical Officer, both from the North East London Cancer Alliance; and George Hawkins from Pathfinder Intelligence, to explore how the alliance is developing a comprehensive AI strategy aimed at improving cancer outcomes across the region.

The discussion begins by addressing the system pressures driving the strategy. Cancer incidence is rising, referrals have increased, and diagnostic services are under sustained strain.

Against this backdrop, the alliance is exploring how artificial intelligence can help shift the NHS conversation from simply digitising frontline services to improving frontline productivity and clinical capacity. Rather than adopting AI as a novelty or isolated innovation, the alliance is taking a deliberate, proactive approach to embedding it within cancer pathways.

The episode highlights how the strategy links productivity, sustainability, and patient safety. AI solutions such as chest X-ray triage illustrate how technology can prioritise urgent cases more effectively, improving safety while also reducing wasted clinician time and easing pressure on imaging services. Crucially, these productivity gains can help offset the costs of AI tools, supporting financial sustainability at a time when healthcare budgets are under pressure.

A key theme is that the strategy is clinician-led and problem-driven. Rather than beginning with technology, the alliance started by identifying the clinical and operational challenges facing cancer services, such as imaging backlogs, MDT administration, pathway tracking, and referral quality.

Through a gap analysis and maturity assessment, more than 70 potential use cases were identified and grouped into priority themes including imaging, administrative automation, patient self-management, early diagnosis, and data infrastructure.

The conversation also explores patient trust and public perception of AI. Feedback suggests that patients are generally comfortable with AI supporting clinical work when its purpose is clearly explained and human decision-making remains central.

The episode also addresses the importance of ensuring AI reduces health inequalities rather than widening them, with discussions around digital access, community support points, and practical solutions to digital exclusion.

Finally, the guests explain why governance, evaluation, and system-wide coordination are essential for scaling AI safely. The alliance is establishing an AI steering group to prioritise use cases, evaluate impact, and ensure innovations can move beyond isolated pilots to deliver measurable benefits across the cancer system.

Together, the episode offers a clear picture of how north east London is positioning itself at the forefront of AI-enabled cancer care, while remaining grounded in clinical realities, patient needs, and responsible innovation.

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