Whitepaper

Transform Healthcare with Simulation-Powered Digital Twins

Discover how simulation-powered digital twins unlock efficiency, support staff well-being, and improve patient outcomes with this whitepaper.

Streamlining Operations and Supporting Healthcare Teams

Are long hours and patient wait times overwhelming your team?

Research by The King’s Fund found that NHS workers are 50% more likely to experience high levels of work-related stress compared to the rest of the working population, while as many as one in two in the NHS are experiencing symptoms of burnout, according to research from University of Bath.

The impact on NHS staff of an increasing backlog of appointments while resources are being depleted should not be underestimated. While looking after the health and well-being of people is the business of the NHS, any plans to improve the UK’s healthcare system must begin with looking after and retaining the valuable NHS workforce.

The ability to alleviate pressures felt by healthcare workers and release time to care offers a useful litmus test for the introduction of any new solution to tackle the challenges faced across healthcare. It’s a time when pragmatic and simple changes will make the biggest, immediate impact on the day-to-day experiences of staff.

How can we ensure that resources have been distributed appropriately so that staff are not left trying to stop a flood with a paper cup when demand levels fluctuate? How can we better prepare for winter pressures? How do we ensure better allocation of patients in the right beds for improved outcomes?

How can we identify cases of hospital-acquired sepsis earlier so that patient care plans are not made more complicated than they need to be? How can we find ways to optimize scheduling and rotas so that staff aren’t required to work such long hours or miss their lunch breaks?

For nurses and clinicians to be able to deliver the best quality of care possible, and to save

Simul8 simulation software

Airedale General Hospital Haematology & Oncology Day Unit transformed its appointment scheduling using a simulation-powered digital twin. Their outcomes:

Over 50% reduction in patient wait times
75% reduction in staff overtime hours
£15,000 generated in savings per month
5% increase in capacity to see more patients

Keep reading...