Case Study

Ensuring Reliable, Compliant IoT-Based Insulin Delivery through End-to-End QA

Industry

Healthcare / Medical Devices

Location

Global

Our Contributions

Quality Engineering & Assurance, Regulatory Compliance & Validation, Test Automation, Medical Device Lab Setup, Site Reliability Engineering (SRE), Device & Platform Integration Testing

As medical device ecosystems become more connected, ensuring reliability, safety, and compliance across devices, applications, and cloud platforms is critical—especially for patient-critical systems like insulin delivery. A leading medical device company set out to scale its IoT-based insulin management platform while maintaining the highest standards of quality and regulatory compliance.

The goal was to enable continuous innovation without compromising patient safety. By establishing a robust, end-to-end quality engineering and compliance framework, the platform was able to support multiple device generations, accelerate releases, and maintain consistent performance across a complex, integrated ecosystem.

Transformation Timeline

Phase 1

Established QA framework and regulatory validation processes

Phase 2

Built automation pipelines across devices and applications

Phase 3

Set up medical device lab and SRE support model

Phase 4

Scaled QA to support multiple device generations and releases

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The Challenge

The organization needed to ensure end-to-end quality and compliance across a highly complex, interconnected medical device ecosystem. This included validating integrations across devices, firmware, applications, and cloud platforms—each with strict regulatory requirements.

Ensuring continuous releases while maintaining patient safety added another layer of complexity. The system needed to support rapid innovation without introducing risk or compromising compliance with medical device standards and SOPs.

Additionally, large-scale testing across devices, data flows, and environments required robust infrastructure and automation. Without a structured QA approach, the organization risked delays in releases, compliance gaps, and potential impact on patient outcomes.

Our Approach

Coforge delivered a comprehensive, compliance-driven QA ecosystem that ensured reliability, scalability, and continuous delivery across the IoT platform.

Established Device Assurance Framework

Designed a medical device assurance framework covering device, firmware, applications, and infrastructure layers to ensure end-to-end validation and compliance.

Enabled End-to-End Automation

Built automation pipelines across devices, web, mobile, and Salesforce applications to accelerate testing cycles and improve consistency.

Set Up Medical Device Lab

Established a dedicated lab with 100+ real and emulator-based devices to support large-scale testing and validation across scenarios.

Implemented Global SRE Model

Enabled 24×7 infrastructure monitoring and support to ensure system reliability, uptime, and performance across environments.

Strengthened Regulatory Compliance

Aligned testing and validation processes with medical device standards and SOPs to ensure full compliance and audit readiness.

Partner & Technology Ecosystem

The engagement was delivered using Coforge’s AI-led engineering capabilities and cloud-native delivery framework.

100% Regulatory Compliance

Across all devices and platform releases

~30% Reduction in Test Cycle Time

Enabled through automation pipelines

<10 Minutes Environment Provisioning

Reduced from hours to minutes

225 Man-Days Quarterly Savings

Through device automation