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TabCATfor a leading neuroscience institute

TabCAT is a platform developed for a major teaching hospital to help clinicians and researchers diagnose the early stages of neurodegenerative disorders, particularly Alzheimer’s.

Diagnosing Alzheimer's Before Major Symptoms Appear
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The Engagement

Before TabCAT, cognitive testing methods were paper-based, time-intensive to administer and score, and presented complications with the accuracy of the results used for detecting disorders. As demand spread in the medical community for TabCAT, the university turned to Vynyl to program the tool for a global audience, so that the platform was suitable for the highly regulated clinical testing medical field.

The Solution

Vynyl adapted the paper versions of dozens of tests and improved the user experience by working closely with researchers and test authors. To enable expansion globally, the tool was localized in 13 languages and adapted to iOS operating systems, with plans to add Android later.

To address data security and reporting, Vynyl completely re-engineered and expanded the Admin User Interface by implementing multiple user roles, the recording and tracking of user activity on the site, and the ability to report on it. This has allowed expansion into the Clinical Testing Medical System (CTMS).

The Result

Automation of testing significantly improved the accuracy of detecting neurocognitive disorders among patients. TabCAT is now being used by the European Prevention of Alzheimer’s Dementia Consortium (EPAD) and has expanded into underdeveloped regions in Asia and Africa. The tool ensures HIPAA compliance and has attracted additional investors in the platform to grow the tool for CTMS implementation.

Featured Highlights

Works In Offline Mode

Test patients in any location, and sync the results when you regain access to the internet

HIPAA-Compliant Software

The system allows patient health information to be stored and accessed securely

Vynyl has done excellent work, and the tools they have built for us are being adopted broadly - inside and outside the university.
Director of Technology at a large clinical research center