The widespread impact of Long COVID has driven significant research focused on understanding its causes and recovery processes, highlighting the urgent need for effective neurorehabilitation methods while also facilitating continuous data collection. The application “LC Neurorehab”, developed as part of the research at the University of Essex, addresses this need by offering a comprehensive platform for data collection and analysis. This thesis provides an in-depth overview of the development process of LC Neurorehab, detailing the modifications made to its previous version to better align with the current literature. The database system underwent a complete architectural redesign to optimise data collection processes, ensuring more robust and scalable handling of patient data, facilitating more detailed tracking and analysis of cognitive and behavioural outcomes.