Πίνακας ελέγχου για την παρακολούθηση της υγείας των ηλικιωμένων : ένα ασφαλές, προσβάσιμο, ενισχυμένο με τεχνητή νοημοσύνη σύστημα για την απομακρυσμένη φροντίδα ηλικιωμένων
Elderly health monitoring dashboard : a secure, accessible, ai-enhanced system for remote elderly care
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Keywords
Τεχνολογία φροντίδας ηλικιωμένων ; Ψηφιακή παρακολούθηση της υγείας ; Προσβάσιμος σχεδιασμός διεπαφής χρήστη ; Υγειονομική περίθαλψη ; Cloud ; React ; Go ; PostgreSQL ; Τοπικό LLM ; Διαχείριση χρόνιων ασθενειώνAbstract
The aging of the global population is putting increasing pressure on healthcare systems: the number of older adults is projected to approach 2 billion by 2050. Older adults need continuous health monitoring to manage chronic conditions, yet they often struggle to adopt digital health technologies because of accessibility barriers, concerns about the privacy of their personal data, and fragmented caregiver coordination tools. This thesis presents the design, implementation, and evaluation of a comprehensive elderly health monitoring dashboard that uses artificial intelligence while respecting privacy.
The system architecture follows a modern full-stack approach: React with TypeScript for an accessible, responsive frontend; Go with the Gin framework for high-performance backor reliable storage ofhealth data; and a locally hosted large language model via Ollama, conversational assistancet's data without that dataever leaving the system. The main contributions are fourfold: an accessibility-first interrast themes, largetypography, and simplified navigation for older users; a dual-role architecture that supportring and multi-patientoversight by caregivers, through household management and invitation flows; local AI that keeps proteHI) within the system while providing personalized guidance; and visualization of health metrics with longitudinal trend analysomaly detection.