Bringing stroke teams together to act fast

Up to 60% of stroke patients arrive at the hospital after office hours, meaning they are often treated by less experienced or junior staff.[1,2] The Philips-Nicolab partnership helps to solve the critical bottlenecks in stroke treatment. Here’s how: Once the patient has been scanned, StrokeViewer uses artificial intelligence (AI) to analyze various stroke imaging biomarkers, helping to speed up diagnosis. The stroke team is able to communicate and collaborate with each other easily by sharing images from the mobile DICOM viewer, which is certified for diagnostic use. When needed, teams can quickly share the patient’s images and details with a comprehensive center for endovascular (EVT) treatment.

This ensures that the patient avoids an unnecessary transfer or a rescan, and that they are diagnosed faster and arrive on time for treatment. The patient’s remote neurologist automatically receives a range of analyses of the scans (e.g., hemorrhage, large vessel occlusion detection, and perfusion analysis) to help assess the damage to their brain. StrokeViewer ensures that the interventional team at the comprehensive stroke center is kept in the loop so that they are prepared when the patient arrives. For example, physicians can review all relevant DICOM scans and AI results directly on Azurion, Philips’ image-guided therapy system, to determine eligibility for interventional treatment. The 3D planning view enables the interventional team to determine the best access route and viewing angles before the patient enters the interventional suite.

Watch the video below to find out how the Philips-Nicolab partnership is already helping Bicêtre Hospital, in Paris, France, to improve stroke care collaboration.[5]