The traditional Trail Making Test (TMT) relies on paper and pencil, a method with significant drawbacks. It requires constant supervision from a neurologist, offers limited metrics (only time and number of errors), and suffers from a learning effect because the test is always the same. Patients can memorize the path, which compromises the validity of repeated tests. This process also wastes resources, consuming paper and ink with each administration.

Main solution configuration
To address these issues, we developed msDtmt, a multi-platform application for tablets and mobile devices that digitizes the TMT. Developed in collaboration with the Hospital Universitario de Getafe, msDtmt transforms the assessment process, providing a more objective, reliable, and efficient tool for neurologists.

Here's how we achieve this:

Randomized Test Generation: A core objective was to create an algorithm that generates a new, randomized layout of circles for every test, eliminating the learning effect and enhancing the test's validity over time.

Advanced Metrics Capture: Beyond simple time and errors, msDtmt automatically records a rich set of data points, including:

• Average pause duration.
• Average finger-lift duration.
• Average speed of the trace (both between and within circles).
• Average applied pressure on the screen (if supported by the device).
• Average contact area size.

This provides neurologists with a deeper, more granular understanding of a patient's cognitive performance.

Multi-Platform Compatibility: Built with Flutter, the application is compatible with both Android and iOS operating systems on both mobile phones and tablets, ensuring wide accessibility.

Data Synchronization: The application can securely send all collected metrics to a server for analysis. We also implemented a robust offline mode that stores results locally if there's no internet connection and automatically resends them once connectivity is resto.