Blue Prism announced a successful collaboration with NHS Trusts in applying intelligent automation to reduce its cancer care backlog. While creating capacity for COVID-19 patients was critical to deal with the initial outbreak, this shift in focus has slowed down timely diagnosis and treatment of cancer across the UK and created a backlog that could take decades to mitigate. Blue Prism partnered closely with NHS Trusts to implement digital robots and innovative solutions for better cancer treatment. With patients attending hospitals later because of COVID-19, it's more critical than ever to ensure a timely diagnosis and every day on the cancer pathway matters. To do that, NHS Trusts require a more efficient way to manage data and audit key milestones within the various cancer pathways. A digital workforce is a unifying agent to deliver these outcomes. Blue Prism's scalable pool of AI-powered digital robots is designed to easily interoperate with all Electronic Patient Record systems and Cancer Registers. This integration supports 24/7 productivity at robot speed. Blue Prism's digital robots significantly reduce the time between test results and actions by connecting the disparate systems. This involves tracking instant diagnostic results with specific hospital departments to cut waiting times or utilizing machine learning and AI capabilities to review MRI scans faster. Before the pandemic, patients showing any potentially cancerous symptoms were targeted for a specialist consultation within two weeks of an urgent general practitioner referral. Typically, after a diagnosis treatment would begin within 62 days from the original referral. But in the current climate, these cancer pathways designed to catch the disease early before it advances have been severely challenged. Here are some of the ways in which NHS Trusts leverage Blue Prism's technology: Expediting referral pathways to ensure that cases are seen as quickly as possible ? potentially cutting days off the initial referral time. Auditing referral pathways to ensure key milestones in treatment are met. Evaluating risk by monitoring results and diagnostics to progress patients onto the next treatment milestone as effectively as possible. Validating data on waiting lists and knowing who to prioritize.