
DignaCare — Cloud-Native IoT Healthcare Platform
A cloud-based platform using IoT sensors to provide real-time, dignified care in nursing facilities.
Project Overview
The Problem
- Frequent unnecessary diaper checks disrupting patient comfort.
- Missed incidents due to delayed detection or understaffing.
- Lack of real-time coordination between caregivers and management.
- Disconnected systems — hardware, alerts, and care documentation didn’t talk to each other.
The Solution
Our team designed DignaCare as a cloud-native modular monolith, emphasizing scalability and maintainability while retaining code-level modularity. The platform unifies IoT sensor data, event-driven alerts, and third-party integrations into a single ecosystem that caregivers can trust daily.
Core Objectives:
- For Patients: Preserve dignity through timely, discreet interventions.
- For Care Staff: Deliver real-time alerts, minimize manual tasks, and provide actionable insights.
- For Facilities: Offer a secure, scalable, and interoperable platform with a modern Azure backbone.
My Role & Contributions
Software Architect (previously Mobile Full Stack Engineer)
- System Architecture Design: Transformed prototype into a modular monolith with clear domain boundaries.
- Real-Time IoT Event Pipeline: Architected Azure Event Hub → Azure Functions → Notification pipeline.
- Third-Party Integrations: Integrated Ascom, Sensio, Skyresponse, Cosdoc, Nemlia.
- CI/CD & Infrastructure: Azure DevOps pipelines, blue-green deployments.
- Real-Time Communication Layer: SignalR + Firebase for simultaneous web & mobile alerts.
Architecture Overview
The platform architecture uses a modular monolith pattern with distinct domain modules. It features an Azure Event Hub for data ingestion, Azure Functions for processing, and a combination of Cosmos DB, Table Storage, and Redis for data management. Real-time notifications are handled by SignalR and Firebase, with Azure AD for authentication and Azure DevOps for CI/CD.
- The app followed a modular monolithic architecture...
- Clean Architecture (MVVM + Repository Pattern)...
- Retrofit + Coroutine-based networking...
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Impact
- Up to 60% reduction in manual diaper checks.
- Faster, dignified care response within minutes.
- Seamless integration with care systems and scalable deployments.
- Foundation for predictive analytics and AI insights.
Key Learnings
- Balanced modularity and maintainability in healthcare systems.
- Importance of privacy, latency, and interoperability in real-world care deployments.