Visual Intelligence – About Us….
In 2019, Visual Intelligence originally set out to assist people with learning difficulties, but as the pandemic hit, we shelved the project, due to the turmoil in the healthcare sector.
However, during the pandemic we continued to understand how AI technology could assist in healthcare and found that falls in the elderly population were causing much misery and often resulting in hospitalisation, loss of independence, poor physical health, contributing to spiralling treatment costs, where NHS fragility fractures annually amounted to £4.4 Billion.
So, we engaged with the pre-pandemic team to develop algorithms to prevent falls, detect falls and improve bedsore management.
Our Aims
AI technology was the perfect partner to achieve our aims so we used CCTV camera’s as optical sensory devices placed in bedrooms.
We started to engage with a registered care manager who helped us understand the needs of patients, carers, managers and the CQC. This was an invaluable step to ensure we had professional input into the ongoing development of the system especially the patient wellbeing algorithms covering pressure care.
When a patient moves in beds or chairs towards a transition to standing, this trigger’s an immediate on-screen alert to care teams via handheld devices, creating an opportunity for targeted intervention.
As this is where most falls occur, this targeted intervention will definitely bring about a change in the patient pathway, reducing hospital admittances and the costs associated with these type of injuries.
Our software is very much patient centred and has been developed to provide individual data to support care teams, identify trends and subsequently changes in the level of support through the on-screen fall risk assessment which alters the level of intervention from the algorithms.
Patient Centred Technology
The system automatically records 30 seconds of pixelated video footage prior to any fall, so that investigations can be completed immediately with appropriate control measures placed to prevent reoccurrences.
This level of data is key to help shape patient wellbeing in the future and as such we have placed a large emphasis on ensuring that our system is GDPR compliant using edge based technology (no cloud data storage) with dual permissions and a pseudonymised approach to key patient details.
We look forward to making a difference in the care and support of elderly people in the UK.
With a growing aged population, this will only increase patient inflows compounding the challenges ahead.
Our technology can play a big part in shaping the future, delivering better patient care today, for all our tomorrows.
Visual Intelligence 