University Hospital Milton Keynes NHS FT has adopted AI technology from Brainomix into its Stroke Practice.
The company, a spin-out from the University of Oxford in 2010, specialises in imaging software for neurological and cerebrovascular diseases.
The hospital has now started to use the e-Stroke Suite technology, a new software and mobile app from Brainomix which helps the stroke team to make clinical decisions and enables clinicians at the trust to share and review clinical information with colleagues in Oxford, where some stroke patients are transferred for mechanical thrombectomy.
Dr Janet Costa, Consultant Geriatrician and Stroke Physician, said: “To deliver the very best treatment for our stroke patients we are pleased to incorporate the use of this proven AI technology. Within minutes we now have access to key clinical information to support treatment decisions.”
“As the technology is also used by our partner stroke centre in Oxford, clinical information can be accessed and viewed simultaneously by both centres. Using Brainomix’s e-Stroke Mobile app we can make key transfer decisions within minutes.”
Dr Ian Reckless, Medical Director at Milton Keynes University Hospital, said: “It is critical to speedily identify patients eligible for treatment to increase the likelihood of a positive outcome. The e-Stroke Suite enables us to do this and has truly transformed the way we deliver care for our patients.”
“As a hospital, we are continually looking at the ways we can use technology to equip our clinical teams with the latest tools to help them do their jobs. The implementation of this solution has been very well received by our stroke team and we know it will make a big difference to local people.”
Earlier in the year Royal Berkshire NHS Foundation Trust went live with software from Brainomix for CT images of the brain and its blood vessels for use immediately after the patient has a scan. The software automatically highlights the area of probable damage and the blocked blood vessel, acting as a second opinion to support decision making.
