Challenges and Requirements
Across the healthcare data collection industry, rapid growth in digital health records, connected devices, and regulatory reporting has placed unprecedented demands on legacy data platforms. Many organizations rely on architectures built for lower data volumes and simpler compliance, making them ill-equipped to handle today’s scale, real-time processing, and strict security standards.
As Shifo’s data volume and reporting requirements increased, the limitations of its existing Python-based platform became more apparent. To ensure scalability, performance, and secure data handling, the foundation sought to modernize its web application architecture and augment its internal team with experienced Python developers capable of delivering continuous technical improvements.
Shifo Foundation operated an in-house reporting platform responsible for process orchestration, KPI computation, analytics generation, and storing sensitive health data. The legacy Python stack faced architectural and functional constraints, impacting performance and user experience.
To support its modernization goals, the foundation partnered with Unthinkable, leveraging its Python expertise and healthcare domain knowledge.
Their key requirements included:
The application can handle increasing numbers of users patients, doctors, nurses, and administrators.
Protection of sensitive patient health information (PHI) in compliance with regulations.
Fast load times and smooth user experience, even under high traffic or during critical emergencies.
Easy-to-use interfaces for different user roles.
Efficient processing of real-time patient data, analytics, or notifications.
Support for growth in features, modules, or integrated systems over time.
