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Development of AI-Integrated Health Monitoring Mobile Application

enozom.com

Health & Fitness

Medical

Information technology

Health Monitoring Limitations in Traditional Systems

Patients lack access to connected health monitoring systems that can provide real-time AI-driven medical advice based on multi-parameter health data from wearable devices and historical health records.

About the Client

Healthcare innovation experts focused on workforce development, care delivery redesign, and consumer self-care management solutions

Objectives for AI-Integrated Health Monitoring App

Develop cross-platform mobile application for health data aggregation
Implement AI-driven health advisory system
Establish secure wearable device integration
Create cloud-based health data synchronization
Ensure compliance with healthcare data regulations

Core System Functionalities

Bluetooth connectivity for Biovotion Everion wearable device
HealthKit integration for multi-source health data aggregation
AI-driven health monitoring and personalized medical advice
Cloud-based data synchronization with medical history linkage
Health parameter visualization and historical data tracking

Technology Stack Requirements

Mobile application development (iOS/Android)

Cloud infrastructure (AWS/Azure)

AI/ML frameworks (TensorFlow/PyTorch)

Health data APIs (FHIR)

Agile development methodology

System Integration Needs

Biovotion Everion wearable device SDK
Apple HealthKit
Google Fit
Electronic Health Record (EHR) systems
Cloud-based AI processing platform

Non-Functional Requirements

HIPAA/GDPR compliance for health data protection
Real-time data processing capabilities
High-availability cloud architecture
Cross-platform UI/UX consistency
Medical-grade data accuracy validation

Expected Business Impact

Enables proactive health management through real-time monitoring and AI insights, improves patient engagement with personalized health advice, reduces healthcare costs through early intervention, and establishes a scalable platform for future medical AI applications.