Romanian Journal of Information Technology and Automatic Control / Vol. 35, No. 4, 2025

Role-based questionnaire integration for Alzheimer’s disease monitoring in a user-centered digital platform

Corina-Elena PETEAN, Virginia SĂNDULESCU, Lidia BĂJENARU, Paul TEODORESCU, Cristian ȚÎRLEA

Abstract:

Alzheimer’s disease (AD) requires early detection and continuous monitoring to enable effective management. Digital health platforms increasingly support this need, yet many lack usability, personalization, or integration across patient, caregiver, and clinician roles. This paper presents the NeuroPredict platform, a modular, role-based digital architecture which includes validated clinical assessment tools specific to AD. In compliance with the user-centered design (UCD) principles, the system provides automated scoring, longitudinal monitoring, and improved usability by adapting access and interaction to the requirements of the patients, caregivers, and clinicians. Internal assessments examined the reliability of differentiated workflows, scoring the algorithm accuracy, and platform stability. When compared to the current approaches that digitize instruments independently, the NeuroPredict platform shows how a role-based approach may enhance interpretability, ensure continuity of care, and facilitate integration into clinical workflows. These findings establish a solid technical basis for digital ecosystems in Alzheimer's disease monitoring which are clinically relevant, extensible, and interoperable, even though the validation with patient cohorts remains a future step.

Keywords:
User-Centered Design, Digital Health, Alzheimer’s Disease, Role-Based Workflows, Validated Questionnaires.

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CITE THIS PAPER AS:
Corina-Elena PETEAN, Virginia SĂNDULESCU, Lidia BĂJENARU, Paul TEODORESCU, Cristian ȚÎRLEA, "Role-based questionnaire integration for Alzheimer’s disease monitoring in a user-centered digital platform", Romanian Journal of Information Technology and Automatic Control, ISSN 1220-1758, vol. 35(4), pp. 107-122, 2025. https://doi.org/10.33436/v35i4y202508