Search our Innovation Portfolio

Care Without Carbon with NHS Sussex has created a green impact assessment tool empowering healthcare staff to make sustainable decisions; it highlights opportunities to reduce the environmental impact of a project, policy or service with a simple digital tool.

The tool, which includes a reporting dashboard, will enable those using it to understand, and therefore minimise, a range of environmental impacts. This will help to embed sustainable healthcare principles in project work and service innovations and broaden understanding of sustainable healthcare. It will also provide identifiable links to everyday work and facilitates a common language around sustainability and net zero transformation.

Every year in the UK 75 million surgical instruments need to be pre-cleaned to remove tenacious contaminates prior to automated washing. Until now that has been a manual process, where staff wear full PPE to protect against contaminated sharp instruments and aerosols. It's dangerous, back breaking, time consuming, expensive, environmentally damaging, labour intensive, difficult work.
The Tiny Air automated system almost entirely eliminates the need for manual pre-cleaning.Tiny Air have developed an automated system to pre-clean a set of surgical instruments in 2 minutes. The system uses cold water only, no detergent, eliminates contaminated aerosols, reduces hazards and protects workforce, reduces rewash, integrates into decontamination unit workflow, helps to prevent Hospital Acquired Infections improves cleaning efficacy and efficiency, increasing sterile services production ad capacity.

DiagOp aims to map laboratory demand and reduce cost by identifying unwarranted service demand. We also aim to discover if the reduction of unwarranted demand could lead to improved service quality and reduce pressures on diagnostic services without buying cheaper products and creating an overall net zero effect. This will also be used to identify if the optimised selection to diagnostic test improves diagnostic accuracy and shortens the patient’s pathway.