Bryson said on entering the motel room, they discovered a cache of stolen property from three recent break-ins in Brandon. However, with the capability of the Xwave system to run those queries from the car one night an officer was running vehicles at a local motel and got a hit on a stolen vehicle from Ontario. Over the years, officers just became too busy to do that, and there was too much radio traffic to allow it.
#Xwave vehicles license
In “”the old days”” Bryson said during a slow night officers would radio in license plates of vehicles parked at local motels. With its location on the Trans Canada Highway, Brandon gets a lot of transient traffic. With the Xwave system officers can query the database from laptops in their car, meaning they can run many more queries then they could before, he said.īryson said that new capability has already paid off just three weeks after the system went live.
Officers either had to wait their turn, or move on to other things. Under the old system, only one person could radio the dispatch person at a time with a query, a system that was quite inefficient. “”We’ve seen that’s the way the police world is going, and it would help us immensely for our officers to be able to do a lot of their own queries for vehicles and persons from their laptops in a wireless environment,”” said Bryson.
#Xwave vehicles upgrade
Seeing the trend towards wireless by departments across Canada the police wanted to upgrade to a more user-friendly system, with wireless laptops in the cars. Police Service Inspector Harley Bryson said the organization had purchased a computer-aided dispatch (CAD) system from an US company in 1989 that was never widely adopted in Canada, and over the years service and support had become difficult to obtain. “We are very excited to partner with xWave Technologies to leverage this advanced technology with a view to improving patient outcomes.The adoption of new technologies by frontline police officers can be difficult, but a new computer-aided dispatch and fleet tracking system from Xwave has already paid dividends for the police department in Brandon, Manitoba. “Innovation partnership projects such as this project are designed to leverage CeADAR’s expertise as Ireland’s Digital Innovation Hub in AI, to bring the latest technology to companies. “This project will employ the latest research in natural language processing and understanding to extract, label and analyse healthcare data to provide greater personalisation and prediction for patients.” Ricardo Simon Carbajo, Head of Innovation and Development, CeADAR, said, “With approximately 80% of health data being available in unstructured format, text and video, the use of machine learning (AI) techniques to analyse and learn from healthcare data is becoming a necessity. He added, “This research will support the development of the next generation of clinical decision support systems, delivering hyper-personalised recommendations to achieve xWave’s mission of ensuring that patients get the best test first.” xWave and CeADAR have identified a way to use artificial intelligence and machine learning to unlock some of this data to ensure that patients are getting referred for the best test for them, not only taking into account their medical history but also their lifestyle, seasonal, geographic, demographic and social factors that can have a significant impact on health outcomes.” Mitchell O’Gorman, CEO, xWave Technologies, said, “It is estimated that 30% of the world’s data is being generated by healthcare alone. Recent advancements in AI provide a significant opportunity to bring a data-driven approach to make medical diagnostic referring more predictive and personalised to the patient’s needs and is the focus of xWave’s project with CeADAR. XWave Technologies currently provides a clinical decision support platform to support clinicians in selecting the best test for their patients. Central to these problems is the ability to ensure that the patient is referred for the best test for them at the right time. It also costs health systems substantial sums of money spent annually on unnecessary radiology scans. However, medical diagnostics is a field fraught with problems, including the timely and accurate diagnosis of patients to give them the best health outcomes possible Medical diagnostics, such as radiology and pathology, perform a vital role in the early identification of a disease in patients and determining the subsequent treatment pathways for the patient. XWave Technologies and CeADAR, Ireland’s Centre for Applied AI, at University College Dublin, have announced the commencement of an AI innovation partnership project.įunded through the Enterprise Ireland Innovation Partnership Programme the project will research the use of artificial intelligence (AI) to predict the best medical diagnostic test for a patient based on a range of input data.
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