Healthcare faces a growing number of challenges worldwide as demand increases on systems already struggling to scale. The NHS treats a million people every 36 hours. The majority of these patients will receive world-class care but approximately 10 percent of patients entering hospital will suffer some type of medical error or harm. DeepMind Health is our effort to address some of these issues in partnership with the clinicians facing them every day – solving real-world problems using the technology available to us.
We're starting in the UK, where the National Health Service is hugely important to our team. The NHS helped bring many of us into the world, and has looked after our loved ones when they've most needed help. We want to see the NHS thrive, and to ensure that its talented clinicians get the tools and support they need to continue providing world-class care.
Frontline nurses, doctors and other healthcare professionals who spend their days treating patients know better than anyone what's needed to provide outstanding care. We at DeepMind Health aim to support clinicians by providing the technical expertise needed to build and scale technologies that help them provide the best possible care to their patients.
We think that machine learning technology, a type of artificial intelligence, can bring huge benefits to medical research. By using this technology to analyse medical data, we want to find ways to improve how illnesses are diagnosed and treated. Our goal is to help clinicians to give faster, better treatment to their patients and all our research work is done in collaboration with doctors and professional healthcare researchers.
Patients have a unique knowledge of their own health and their preferences for treatment. Outcomes are better when patients and clinicians make decisions together, and we think this should apply to the way in which technology is developed too.
We are incorporating patient and public involvement (PPI) at every stage of our projects. We have already benefited from the use of patient feedback from external groups but are now bringing together a diverse group of patient representatives to meet our specific needs.
We're looking for exceptional people.
Trevor is a Product Manager in the DeepMind Health Research Team. He joined DeepMind having completed a Ph.D. in Astrophysics at the Royal Observatory in Edinburgh. He now helps lead the research projects within DeepMind Health, focusing on bringing together world experts from machine learning, clinical research and other supporting disciplines to improve patient outcomes. This led to his best moment at DeepMind – publicising our collaboration with Moorfields Eye Hospital NHS trust.
Cían joined DeepMind Health as a Clinican, overseeing the clinical aspects of the projects. Previously, he was an Ear Nose & Throat surgeon at University College London, where alongside his clinical work he researched neurotology, health informatics and epidemiology. He was drawn to working for DeepMind as he feels that it gives him the opportunity to expand and accelerate his research interests, while also furthering his technical background. He says that DeepMind’s “fantastic hybrid culture combining the best of academia, the agility of a startup, and the resources of a big tech company,” along with the highly motivated, passionate team make him sure that he’s made the right decision!
Duncan joined the DeepMind Health team from Shazam. As an iOS developer, Duncan works on Streams, an application that doctors and nurses will be using on a day-to-day basis to make their jobs easier and hopefully save thousands of lives. He is involved in all stages of development, initially speaking to doctors and nurses to hear first-hand what will make their lives easier, then taking these ideas and working with designers to turn them into simple to use interfaces. Finally it's Duncan’s job to turn these designs into a functional working iPhone application. Duncan joined because “DeepMind struck me as a company that wasn't afraid to take on extremely hard and interesting problems. Before joining, I was sure that my next role would be working for myself. However, after hearing about DeepMind Health and the Streams app they were building, I realised I could make a much bigger difference working at DeepMind than by myself.”