THE NEVER EVENTS
Every year, over 100 UK and 1500 US routine operations fall victim to the incidences of foreign object retention (RFO). Surgical implements left inside a patient after an operation carries a high risk of internal damage or in extreme cases, death. This was highlighted by the UK Royal College of Surgeons as an absolute “never event”. Such occurrences not only have an impact on the patient but also on the healthcare systems themselves, who are at risk of lawsuits and indemnity insurance claims.
Over 1500 US and 100 UK patients each year are at risk of injury or death due to foreign object retention post-operation.
UK Royal College of Surgeons
The healthcare industry is an integral part of everyone’s life.
Caring for and maintaining the health of a nation is a massive effort that comes with huge financial repercussions for any mistakes.
rFO Require additional surgery
in order to remove the foreign object
additional risks and costs
£59,000 - the average cost of an RFO related claim
LAWSUITS AND INSURANCE claims of up to £1.5 million
in more serious cases
Patients are at risk of injury of death.
NEUROLABS Object Recognition as SaaS
Our object recognition algorithms are trained on high-quality synthetic data that is generated in Virtual Environments using unique proprietary techniques.
Minimal client data. Synthetic data allows us to replace time-consuming, expensive real data.
Fast time-to-deployment. Kick-start the deployment by choosing from our pre-existing product catalogue.
State-of-the-art accuracy. Successfully deal with extreme situations: partially hidden, substantial background clutter, change in a real-world environment.
New objects. Can enrol new items from seeing as little as 3 examples.
Continuous learning. Automatically retrain models overnight or on-demand to take advantage of feedback during inference.
Easy to integrate. Standardised, fast integration with APIs in as little as one week.
NEUROLABS Technology in healthcare
Neurolabs ZIA for HealthCare addresses the application of cutting edge AI-enabled Computer Vision in hospitals. We integrate our Computer Vision solutions with advanced hardware systems in order to automate, speed up and remove human errors from processes in healthcare. We rely on modular, non-invasive cameras.
Identifies multiple objects in real-time, simultaneously rather than serially.
No human intervention. Operating teams can now focus on the operation at hand rather than requiring to pause procedures.
People excluded from images.
Encrypted transfer to and storage of data in the cloud.
EASY TO INTEGRATE
A straightforward method, built to ensure medical doctors ease of use with no training required.
Connects multiple operating theatres for aggregating data and improve efficiency.
Computer Vision powered cameras are not prone to Human Bias, Error and Fatigue.
Utensils counting is a vital process in order to ensure the highest level of patient safety.
It is performed various times throughout every operation - takes around 8.6 mins to complete every time.
It is highly subject to human error.
Autonomous Medical Utensils Inventory
The Autonomous Medical Utensils Inventory offers a reliable solution to the issues of the current surgical tool count process in operating theatres.
Our Computer Vision powered solution is capable of carrying out the initial utensils count and maintaining the tracking of tool whereabouts without any required human intervention.
Operating teams can now focus on the operation at hand rather than requiring to pause procedures in order to do a recount and maintain accounts for the locations of surgical implements.