SIHA

SIHA (System for Integrated Health Analytics) is a platform developed at QCRI that extracts, unifies, and provides health data from various wearable devices through a unified API infrastructure. This tool was built for use in various research projects including diabetes studies in collaboration with Weil Cornell Medicine and Hamad Hostpital (biggest hospital in Qatar).

Key Features

Data Processing & Integration

• Developed YAML interface for TASRIF, an open-source time-series data processing tool
• Automated collection and harmonization of wearable device data using Celery workers
• Standardized data formats for cross-device compatibility, including Huawei, Garmin, Fitbit, Apple, and Samsung watches.

Secure Infrastructure

• RESTful API with role-based access controls and OAuth2 authentication to ensure private patient data is secure
• Created on-premise deployment script pulling images from MS Azure for secure deployment

Analytics & Insights

• Statistical analysis tools for health trends
• Interactive dashboards for data visualization
• Export capabilities for research and reporting

Mobile Application Took ownership over end-to-end development of the Mobile Application.

• Migrated app to null-safety and BLOC architecture pattern
• Updated UI/UX and created new screens using Flutter for a new coherant brand identity
• Implemented new Team Competitions feature for user engagement

The Mobile Application was a key delivarable for a $\sim$$3million grant to build a health system across public hospitals in Qatar.