Deep Medical

Our three solutions, DM Schedules, DM Connects and DM Pathways tackle the biggest three challenges in healthcare; 1️⃣ clinic capacity 2️⃣ patient engagement and 3️⃣ care pathways for multisystem users. We know that patients can forget their clinic appointments, often through no fault of their own. They might be unable to get time off work, be nervous about travelling to the appointment in busy rush hour traffic, or have caring commitments. DM Webex Connects uses AI to contact each patient through personalised communications, personalised channels and personalised reminder schedules. This ensures the patient attends, cancels or reschedules ahead of time, improving engagement and attendance rates. Find out more about our solutions here >> https://lnkd.in/eF8ezRqg

We're Benyamin Deldar and David Hanbury, co-founders of Deep Medical. Since 2017, we've been using AI to help us understand why patients miss their appointments in order to reduce NHS waiting lists and improve patient outcomes. And this year we’ve made huge progress. ➡️ Our pilot with Mid and South Essex NHS Foundation Trust resulted in 1910 additional patient clinic visits, with DNAs (Did Not Attends) reduced by 377 and 217 last-minute cancellation slots filled. ➡️ We’re working with Helpforce volunteers at George Eliot Hospital NHS Trust to combine our AI with volunteer knowhow and compassion, to help more patients attend their appointments. ➡️ We partnered with the pioneers in NHS messaging: Healthcare Communications (Part of Cisco), representing a huge opportunity to deliver personalised and proactive patient communication that’s powered by our AI. ➡️ And our collaboration with Uber Health is helping to address the transport challenges that’s a significant barrier to patient attendance at hospital and clinical appointments. 🚀 So stay tuned - we’re only just getting started!

This is what reducing the NHS waiting list looks like in action.💪🏼 We’re working with Helpforce volunteers George Eliot Hospital NHS Trust, and they’re already making a difference in reducing the NHS waiting list and improving patient access to care. Our AI predicts which patients might miss their appointments, allowing the volunteers to reach out and help them reschedule or offer additional support such as transport or someone to greet them at the hospital. The volunteer call sheets reveal the real-life struggles behind missed appointments. Many patients spoke of significant transport challenges in making it to their appointments on time. They might be living in areas with limited public transport, might not be able to afford to travel to hospital, or they might be dealing with health issues that make travelling at the scheduled time difficult. We’ve already seen impressive results from the pilot; interim data reveals a 28.8% reduction in Did Not Attends (DNAs). There’s still much to be done, but we’re proud of the progress so far.

Our partnerships with other tech companies make us stronger. We’re proud to join forces with the pioneers in NHS messaging: Healthcare Communications (Part of Cisco) as announced earlier this year. This partnership represents a huge opportunity to deliver personalised and proactive patient communication that’s powered by our AI. What does this look like in practice? Imagine an AI receptionist that not only schedules appointments but also anticipates patients’ needs. This receptionist knows which patients are at risk of missing their appointments - without accessing their medical records - and contacts them in the way that best suits them. Whether that’s a message outside working hours or an AI call for those who find text communication difficult. Our co-founder David Hanbury has described the partnership as the ‘integrated intel inside booking and engagement platforms.’ This solution alone is projected to relieve up to 150,000 appointments in a single NHS trust, translating into £28 million of reclaimed capacity for patient care.

🎉 Welcome to the Deep Medical team, Andrew Buxton! We’re delighted to announce that Andrew has joined Deep Medical as Senior Full-Stack Developer. Andrew brings with him a passion for building clean, maintainable, and well-tested code, making him an ideal fit for our team. He has experience working across a number of product-based companies, contributing to teams of all sizes. In his spare time, Andrew’s a keen walker. Here he is in the beautiful Shetlands. Andrew, we’re excited to have you on board and look forward to working with you. 

👏🏼Some of the wonderful Helpforce volunteers that we’re working with at George Eliot Hospital NHS Trust. They’re already making a difference in reducing the NHS waiting list and improving patient access to care. We’re using AI to empower NHS volunteers in identifying and supporting patients who are at high risk of DNA (did not attend). Volunteer feedback on our software has been positive; it’s an ‘efficient way of making patient calls’, with the information ‘instantly accessible.’ Patients contacted have ‘really appreciated the calls.’ Our volunteers are embedded in their communities, well placed to understand - and act upon - the challenges that patients face in attending their appointments. Our goal? Shorter waiting lists, faster treatment times - and progress towards addressing the 12 million appointments that go missed or are cancelled at short notice, costing the NHS £2Bn each year.

Imagine reducing NHS waiting lists and improving patient care through the power of AI and compassionate volunteers. Our partnership with Deep Medical is harnessing AI to empower NHS volunteers in identifying and supporting high-risk patients. The goal? Shorter waiting lists, faster treatments, and a projected £27.5 million in savings! Key Highlights: • AI-powered call centres enabling volunteers to make a bigger impact in contacting patients more likely to DNA • Successful trial in Mid and South Essex NHS Foundation Trust • Expanding to George Eliot Hospital NHS Trust By blending human compassion with cutting-edge technology, we're tackling health inequalities head-on. As leaders in supporting and developing volunteering services that can support NHS staff and patients, we're proud to champion this innovative solution. What are your thoughts on AI to support healthcare volunteering, which in turn, can support better healthcare outcomes? How could this shape the future of patient care? Share your thoughts and insights in the comments! 👇 Karen Bonner MBE, Anna Dixon, Elisabeth Mahase, Phil Hammond, NHS and Care Volunteer Responders https://lnkd.in/e3ndvBuG #AIinHealthcare #NHSInnovation #VolunteerImpact #HealthTech #PatientCare

🤝 We’re proud to partner with Deep Medical to transform patient care. By combining AI-powered insights with Webex Connect, we can predict when patients are at risk of missing appointments and automatically send personalized reminders across multiple channels. This ensures patients stay on track with their healthcare, leading to improved outcomes for both patients and providers. Together, we’re making sure critical appointments are never missed. 🏥

📸A couple of pics from our interview with Future Medicine AI last week. Excited to see the final cut in a couple of weeks - watch this space 👀 Brilliant to talk about the work we’re doing to use AI to increase NHS capacity, as well as how we can better engage patients with more personalised messaging and scheduling. Our Director of Operations Dr. Sasha Sadiq said, ‘It's been good to share some of the challenges we face, such as change fatigue and the resource constraints of an already stretched workforce. ‘It's a complex landscape, but I’m optimistic about the potential for innovations like ours to drive real change in healthcare.’ The Future Medicine AI Hub provides the latest news, insight and analysis from the world of AI in medicine to help make sense of the rapid developments in the field. Thanks so much for a great interview Future Medicine AI. We’re  looking forward to seeing the result in a few weeks time!

🎧Our co-founder Benyamin Deldar joined Aasmar Mir and James Hanson on Times Radio this morning to talk about the government’s planned consultation on moving the NHS from ‘Analogue to Digital’. The conversation touched on data privacy, delivering more personalised care, and how digital tools can ensure more equitable access to care for those who need it most. You can catch up with the interview here 👇🏽👇🏽