Faster stroke risk assessment with VasSol’s VERITAS app

Business context

VasSol is a US company originating from many years of research conducted at the University of Illinois at Chicago, specialising in vascular system analysis. The company’s goal is to provide clinicians with reliable information that supports treatment decisions and improves patient outcomes.

Despite its strong scientific foundation, there was a need for an intuitive tool for everyday clinical use, enabling physicians to apply knowledge about the functional consequences of restricted blood flow in patients with vertebrobasilar circulation disease. The key objective was to make the VERITAS algorithm available in a mobile format that would be easily accessible at the point of care.

Challenge

The greatest challenge was translating a complex stroke risk assessment algorithm into an easy-to-use application that could serve as a reliable reference during patient examination. The tool needed to enable precise assessment of flow in the basilar artery and posterior cerebral arteries, determine flow status, and link it to the risk of future stroke.

At the same time, the application had to support fast clinical decisions, minimise the risk of misinterpretation, and ensure consistency in diagnostic steps within the limited time available for consultation. Interface clarity and ergonomic usability were priorities for both experienced specialists and physicians in training.

Solution

Leaware used Xamarin to build a cross-platform mobile application embedding VasSol’s VERITAS Algorithm. This ensured a consistent user experience across different systems and stable implementation of the medical logic.

The application works as an automated decision tree: it guides the physician step by step through the process of assessing flow in the basilar artery and posterior cerebral arteries, determines flow status based on input data, and estimates the risk of stroke in the posterior circulation. Results are presented clearly, enabling rapid interpretation at the patient’s bedside.

Simplifying the use of a complex algorithm resulted in shorter assessment times, easier adoption of the method in clinical practice, and greater decision-making confidence among users.