Winners from across UCLPartners of AI in healthcare awards
The 42 winners will receive a share of £140 million, available over three years to accelerate the testing and evaluation of technologies most likely to meet the aims set out in the NHS Long Term Plan.
There were four winners from across the UCLPartners region who will be applying cutting-edge artificial intelligence to improve patient care:
- Barts Health NHS Trust will lead a project aimingto use AI to fully automate cardiac MRI scans. Autoscanning and autoanalysis will add precision and help to predict clinical outcomes better than current care, as well as speeding up scanning, reducing waiting times, saving money and freeing up scarce resources.
- University College London have developed a SamurAI system that will use AI to combine historical data for patients prescribed with antibiotics with the findings of specialists in infection as they review prescriptions. The system will learn when to stop or change the use of antibiotics to ensure they are only used when necessary.
- University College London will also lead a project that aimsto improve a model that predicts future demand for hospital beds, allowing local teams to adjust staffing levels or reschedule operations in line with future demand. The model will be tested with clinical and operational teams to make sure it is reliable, easy to use and safe.
- University College London Hospitals NHS Foundation Trust are developing a natural language processing system to support the conversion of clinician’s text in electronic health care records into a structured format that can be processed by computers to help support clinical decision making, planning and research. The system works at the point of care, during data entry, and clinicians are given the opportunity to validate the suggestions before they are added to the patient record. The system will be tested in a simulation environment and then tested at University College London Hospitals and Great Ormond Street Hospital.
The AI in Health and Care Award forms part of the NHS AI Lab and is managed by the Accelerated Access Collaborative in partnership with NHSX and the National Institute for Health Research.
The NHS is committed to becoming a world leader in the use of AI and machine learning and harness the benefits on offer from the technology that range from faster and more personalised diagnosis to potential efficiencies in screening services.
Each product developed by the winning projects will undergo robust testing and independent evaluation to ensure they are effective, accurate, safe and value for money.
For more information about the awards, visit the NHSX site