Digitization of the SAGE test : building a scalable solution for early cognitive impairment detection

Abstract

The increasing prevalence of cognitive impairments due to aging populations necessitates advancements in early detection techniques, which are crucial for timely intervention and better management of conditions such as dementia and Alzheimer’s disease. This thesis presents a transformative approach to cognitive health diagnostics through the digitization of the Self-Administered Gerocognitive Exam (SAGE), integrating it into a scalable digital software solution aimed at enhancing accessibility, efficiency, and user experience. By transitioning from paper-based to digital format, the project addresses significant technological and usability challenges, ensuring the tool's applicability across diverse user demographics, particularly older adults. The developed digital SAGE test maintains the integrity and diagnostic capabilities of its traditional counterpart while introducing functionalities that leverage modern technology for improved cognitive assessment. Validation of the digital tool involved comparative studies with the paper-based version, professional feedback from healthcare experts, and user testing with the target demographic to ensure accuracy, ease of use, and effectiveness in real-world settings. The findings suggest that the digital SAGE test is not only a viable alternative to the paper version but also enhances user engagement through an intuitive interface and interactive elements. This research contributes to the field by demonstrating that digital solutions can effectively replace traditional methods, providing a blueprint for future advancements in the digital healthcare landscape. The digital SAGE test represents a significant step forward in the early detection and management of cognitive impairments, potentially reducing the healthcare burden associated with aging populations.