Help us do incredible things

With your help, we can enhance care, experiences and outcomes for thousands of patients every year.

Here’s what we’re raising money for right now.

 

Donate today

Support our Coronavirus Appeal

We’re proud of how our dedicated frontline workers are responding to the coronavirus pandemic. From doctors and nurses to porters and cleaners, they’ve all stepped up to support our community.

Many of you have generously said you want a way to thank them.

So we’ve set up a staff wellbeing fund to show our appreciation.

Donate via one of the links below, or text

  • NHSHEROES 3 to 70460 to donate £3
  • NHSHEROES 5 to 70460 to donate £5
  • NHSHEROES 10 to 70460 to donate £10

You’ll be opting in to hear more about our work and fundraising via telephone and SMS. If you’d like to give but do not wish to receive marketing communications, please text NHSHEROESNOINFO 3 / 5 / 10


Find out more

Make exceptional healthcare your legacy

Take a look at our current appeals

Refurbishing our elderly care wards

Help us set a whole new standard in caring for older patients.

Research into lazy eye condition

Amblyopia (lazy eye) is a childhood condition which affects 1:50 children in the UK. We want to conduct two research studies to enable treatment at home, and patching time...

Support mums and babies

Help us raise money to enhance care for mums and babies who require extra hospital care.

Read more about how you could make an impact for our entire community

F7 transition ward appeal

On ward F7, our staff help elderly patients to live as normal a life as possible.

Find out more

Sensory retreat for children

Play and distraction are important, but often underrated, elements in the treatment of poorly children.

Find out more

Home sleep study equipment needed

Doctor warns that people with an undiagnosed and untreated sleep condition are as dangerous on the roads as drink drivers.

Find out more

Machine learning in hospital

University Hospital Southampton is leading a pioneering research project to integrate machine learning with medical systems.

Find out more

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