Bayes Centre

Covid-19: How are companies in Bayes trying to help? Sentinel is making progress.

New Startup, Sentinel from the Bayes Corporate Accelerator has made it through the 1st phase in the bid for Funding in the UK NHSX AI In Healthcare award, with the help of Bayes partner EPCC.

What is the UK NHSX AI In Healthcare award?

The Artificial Intelligence Health and Care Award supports solutions addressing the strategic aims of the NHS Long Term Plan across the whole development pathway, from initial feasibility to clinical implementation. The Artificial Intelligence (AI) Health and Care Award is run in partnership with the Accelerated Access Collaborative and NHSX.  It is part of the NHS Artificial Intelligence Lab announced by the Health Secretary in 2019, and will deploy £140m over three years to accelerate the testing and evaluation of the most promising AI technologies that meet the strategic aims set out in the NHS Long Term Plan.

Who are Sentinel?

Sentinel Patient Monitoring Solution (SPMS) is a software solution that uses a hardware sensor to deliver data to A.I. models that are checking for patient improvement and deterioration every 60 seconds, 24x7 for high risk patients in hospitals and in their homes post discharge.

Data from the sensor is passed through the A.I. models to detect and predict deterioration at the earliest time in order that treatment can be given before conditions deteriorate into an emergency that requires readmission. Early detection is key to saving lives and money.

Sentinel is an award winning solution, selected by 5 University Hospitals from over 198 other solutions from across the E.U.

Sentinel was awarded an E.U. SME instrument "Seal Of Excellence" for research and development by Horizon 2020. This year, they joined the third cohort of the Bayes Corporate Accelerator, in partnership with Wayra.

A snippet from Sentinel’s application:

Covid-19 has the largest effect on elderly patients and a solution such as Sentinel that can detect deterioration in Coronavirus patients at an early stage can save lives and costs and prevent hospital admission and readmission. If the patient is not deteriorating further, which we calculate through a NEWS score, there is no need to admit them to hospital, saving beds for those that need them most and reducing risk of further infections. The Sentinel sensor is reusable and is sanitized with commonly available hypochlorite (bleach) solution. Requiring no training to fit and no connectivity, it can easily be shared in public communities and care homes. 50% of all hospital beds in Italy are currently filled with coronavirus patients. We simply do not have the manpower needed to monitor these patients to identify which ones need further care and which ones can go home. As a machine, Sentinel can do this every 60s 24x7.

If Coronavirus uptake continues, there will not be sufficient bed capactiy to deal with patient numbers. Prevention through early detection with treatment and monitoring at home will be a highly effective alternative. Sentinel could be ready for market within a few months and if Coronavirus is still prevalent at that time, Sentinels global usefulness cannot be underestimated.