AI-driven health monitoring for seniors
Momentum played a key role in creating zdroVeno, a digital health platform designed for adults aged 55 and older. This platform combines personalized health monitoring, smart suggestions, and engaging gamification to encourage active aging and daily wellness.
**The Challenge**
Older adults often grapple with disjointed tools, complex care requirements, limited oversight from caregivers, and a lack of engagement, which leads to inconsistent health habits and inadequate support. ZdroVeno sought an integrated, longevity-focused solution that could convert diverse health data into clear insights, assist caregivers, and encourage sustained physical activity.
**The Solution**
We conducted research involving seniors and caregivers, which included interviews, journey mapping, behavior analyses, and a motivation framework specifically designed for older adults, alongside consultations with healthcare professionals. The product comprises three main components:
1. **Advanced Health Monitoring**: Integrations with fitness devices; analysis of complex metrics (like HRV and activity patterns); customized anomaly detection and alerts; context-aware recommendations tailored to health status, weather, and personal preferences.
2. **Intelligent Gamification**: Age-appropriate rewards, dynamic challenges, and privacy-conscious social features.
3. **Comprehensive Care Support**: Multi-level, customizable alerts; medication management; detailed reports for caregivers.
**Technical Framework**
The technology stack includes a Ruby on Rails backend, Flutter mobile applications, and AWS for storage and processing that complies with HIPAA regulations.
**Results**
ZdroVeno provides a cohesive health data pipeline that normalizes inputs from Google Fit and Apple Health, maintaining processing times under 300 ms even under peak demand. An intelligent recommendation engine analyzes factors like weather, medications, and health conditions to offer safe, real-time advice for activities. The platform's offline-first architecture ensures data consistency across devices, while a HIPAA-compliant security framework manages roles, privacy, and caregiver monitoring. Engagement systems are specifically designed for older adults, balancing medical accuracy with long-term motivation.
For more details, see the case study at themomentum.ai/case-study/zdroveno.