-848x288%20(1).png/jcr:content/renditions/cq5dam.web.1120.380.png "What Artificial Intelligence Can Do for Stroke Patients")
With new technology and innovations comes the decision about whether to invest and adopt that technology. How do physicians and hospital staff know when to take that step? Hospital leadership thinks about the patients and what the impact would be for those they treat. Leadership also needs to consider how it will affect their frontline workers. According to Justin Gnau, chief information officer for CommonSpirit Health’s Texas Division, it’s imperative for hospitals to invest in technology responsibly without getting distracted by shiny new devices.
As one of the leaders in stroke care in Houston and the surrounding areas, Baylor St. Luke’s Medical Center continues on its promise to leverage the most advanced innovations to provide the best care to its patients. Baylor St. Luke’s invested in artificial intelligence technology to service the stroke care team in diagnosing stroke and providing efficient and reliable treatment. Viz.ai technology allows for rapid detection and notification of suspected large vessel occlusion (LVO) strokes.
“Viz.ai’s applied artificial intelligence solutions have been developed by top stroke clinicians and technical experts in the world, and we are excited to be able to bring these transformational technologies to Baylor St. Luke’s and our community.”
-Dr. Chethan P Venkatasubba Rao, Medical Director of the Neuroscience ICU at Baylor St. Luke’s
During a stroke, timing is the most important factor for minimizing brain damage. Knowing the signs of a stroke will allow for F.A.S.T. action in the event of an emergency.
Dr. Omar Tanweer and Dr. Daniel Raper, neurosurgeons at Baylor St. Luke’s Medical Center, explain the process behind using Viz.ai’s artificial intelligence technology to assist in stroke care.
Physicians will save minutes, even hours, when treating stroke patients with Viz.ai assisting in the triage, diagnosis, and treatment processes. With groundbreaking applied artificial intelligence combined with seamless communication, Viz.ai's image analysis helps with the fast and accurate triage of potential LVOs in stroke patients and allows for better collaboration between physicians.
“Before, we had to make decisions on the fly or quantify the images from the CAT scan, which is a laborious process that can take hours to complete. The Viz.ai software bypasses the guesswork and allows for early intervention, which results in improved outcomes for our patients.”
Viz.ai’s technology has also allowed for optimized hospital workflow and synchronizing stroke care with its cloud-based system. This is a prime example of competent and practical investment in technology in medicine. Locate your nearest St. Luke's Health Comprehensive Stroke Center or affiliated emergency room for when minutes matter.
Sources:
Baylor St. Luke's Outcomes | Artificial Intelligence Stroke Care
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