Healthcare & Life Sciences

Mission-Critical Tele-Healthcare Modernization

Our Client’s Backstory

Our client is a tele-healthcare startup dedicated to bridging the gap between traditional primary care and virtual medicine through advanced "Care Stations." These physical pods are equipped with diagnostic hardware, high-definition cameras, and real-time audio systems, enabling remote practitioners to conduct medical exams in underserved communities. Managing a complex hybrid ecosystem—including Windows-based WPF applications for hardware orchestration and a provider-side consultation dashboard—the client required a technical partner to stabilize and scale their infrastructure.

The Challenges

As the platform transitioned from a prototype to a high-scale clinical tool, it faced architectural and operational bottlenecks. Key challenges included:

Hardware Heterogeneity: Managing multiple generations of diagnostic hardware connected via serial bus, with no standardized protocol for backward compatibility or command versioning.
Asynchronous Communication Fragility: A lack of message queuing between Care Stations and backend services led to potential data loss and reduced system reliability.
Legacy Provider UX: A provider-side dashboard built on outdated architecture that struggled with real-time call routing, transfers, and status management.
Operational Blind Spots: Inadequate centralized logging and monitoring made it difficult to diagnose field issues, resulting in high Mean Time to Resolution (MTTR).
Engineering Lifecycle Friction: Manual deployment processes and a lack of automated regression testing increased release risk and slowed feature velocity.

Solutions

Klika spearheaded a multi-phase modernization of the platform, focusing on architectural resilience, hardware abstraction, and observability. Our solution included:

Flexible Hardware Abstraction Layer: Engineered a capability-based versioning architecture that allows the platform to dynamically support various station configurations and firmware versions without breaking legacy compatibility.
High-Availability Messaging Infrastructure: Developed a RabbitMQ-based messaging layer with dead-letter handling and retry mechanisms to ensure mission-critical medical data is never lost.
Modernized Consultation Dashboard: Redesigned the provider interface using a component-based architecture and Kendo UI, integrating Amazon Chime for high-definition audio/video and round-robin call assignment.
Full-Stack Observability Suite: Integrated Datadog across the entire platform, implementing domain-level data collectors to monitor real-time call lifecycles and device health.
Standardized CI/CD Pipelines: Overhauled the development lifecycle by implementing automated build pipelines, a structured branching strategy, and regression testing frameworks.
Infrastructure as Code (IaC): Utilized Terraform to automate the provisioning and management of the client’s AWS-based healthcare infrastructure.

The Results

The modernization transformed the platform into an enterprise-grade tele-healthcare product, significantly improving clinical workflows and system reliability.

Accelerated Feature Velocity: Standardized CI/CD pipelines and automated testing reduced release risk and improved the predictability of new deployments.
Seamless Hardware Scalability: The new abstraction layer allows the client to deploy new diagnostic hardware revisions across the fleet without disrupting active Care Stations.
Optimized Clinical Workflow: The redesigned provider dashboard reduced friction for practitioners, enabling faster call routing and clearer patient status tracking.
Drastic Reduction in MTTR: Real-time observability through Datadog provided the engineering team with the visibility needed to diagnose and resolve field issues rapidly.
Enterprise-Grade Resilience: The architectural shift to decoupled messaging and modernized frontends provided a scalable foundation for global expansion.