Optimizing Clinical Mobility Solution Through Scalable Test Automation

Context and Objectives

A leading healthcare technology provider specializing in clinical mobility solutions faced significant challenges in maintaining development efficiency and quality assurance. Post-pandemic financial constraints led to resource reductions, while the company needed to sustain its pace of development and ensure high-quality software delivery. Their existing test automation (AT) framework was outdated, monolithic, and poorly integrated with modern CI/CD pipelines, leading to inefficiencies in testing and deployment processes.

Approach & Solution

To address these challenges, our team implemented a strategic overhaul of the client’s test automation framework, ensuring scalability, efficiency, and integration with modern development workflows. Key improvements included:

• Redesigned AT framework: Transitioned to a universal architecture suitable for both web and mobile platforms.
• Cloud-based execution: Enabled automated testing using containerized environments, improving scalability and efficiency.
• Unified test automation efforts: Consolidated API, UI, and mobile testing within a single framework to enhance collaboration and streamline workflows.
• CI/CD integration: Implemented a cloud-based execution pipeline using Azure DevOps, Docker, and Jenkins for seamless automated testing.
• Process optimization: Standardized QA processes, improved team collaboration, and established best practices through an organized knowledge base.
  
  

• Web Frontend: .Net
• Mobile: iOS (Xcode, Objective-C, Swift), Android (Android SDK, Java, Kotlin)
• Backend: .Net, IIS
• Database: Microsoft SQL Server
• Testing & CI: Ruby, Webdriver, Appium, Jenkins, Allure, TestRail
• Infrastructure & CD: Azure DevOps, Git, Docker
  
  

Results & Added Value

• Accelerated regression testing: Reduced testing cycles from two weeks to just 2-3 days.
• Improved efficiency: Tripled testing capacity, enabling the same amount of work with significantly fewer resources.
• Enhanced automation coverage: Doubled the size of the AT regression suite, ensuring more comprehensive testing.
• Scalable and future-proof architecture: Provided a sustainable, flexible testing framework adaptable to evolving business needs.

By modernizing the client’s test automation framework and optimizing processes, we significantly enhanced their development efficiency, reduced costs, and enabled faster, higher-quality software releases—strengthening their position as a leader in clinical mobility solutions.