Web System for the Management and Administration of Neuropsychological Tests: Design and Development
Neuropsychological evaluations play a fundamental role in diagnosing cognitive and neurological conditions. However, traditional manual methods present significant limitations, such as human errors in data recording, prolonged evaluation times, and a lack of standardization in test administration. These deficiencies can delay diagnosis and compromise the reliability of results. To address these challenges, this study presents the design and development of a web-based application for the management and administration of neuropsychological tests, aimed at optimizing the evaluation process in terms of efficiency, accuracy, and standardization. The system focuses specifically on the BANFE-2 battery, which is widely used in clinical contexts. The development process was based on the MPIu+a methodology (Usability and Accessibility Engineering Process Model), which guided each phase through principles of User-Centered Design (UCD). For project management, the agile Scrum framework was incorporated, enabling iterative cycles with continuous user feedback. As a result, a platform was built that allows specialists to manage clinical cases, administer digitized tests, record results, consult patient histories, and generate PDF reports, contributing to greater standardization and control of the evaluation process.
The usability evaluation yielded a score of 86.1%, indicating strong user acceptance. Although the system does not currently incorporate artificial intelligence (AI) techniques, its architecture is designed to support future integration of automated data analysis tools. This work contributes to the advancement of technological tools applied to neuropsychology, offering a scalable and accessible solution tailored for local clinical contexts. Future work will focus on addressing identified limitations to improve usability, expand functionality, and increase system adaptability to diverse clinical and research needs.
Keywords: Software engineering, Neuropsychological tests, MPIu+a, Usability, Web application.
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