Healthcare Test Automation Case Study | 20x Faster

A leading healthcare information technology company required comprehensive test automation for their pharmaceutical drug calculation platform and laboratory information management system (LIMS). Specifically, these applications serve healthcare professionals in critical decision-making scenarios where accuracy is paramount. However, with 55+ medical calculators and complex document workflow systems, manual testing had become a bottleneck in their development lifecycle. Therefore, to address this, the team implemented a healthcare test automation framework.

Challenges in Healthcare Software Testing

Manual Testing Inefficiency

• First, testing 55+ drug calculators manually took hundreds of hours per release cycle.
• Moreover, repetitive regression testing consumed significant QA resources.
• As a result, critical calculation validations were time-consuming and error-prone.

Scalability Issues

• To begin with, no parallel test execution capability existed.
• Consequently, tests that should take minutes were taking hours instead.
• Thus, the team could not keep pace with rapid development cycles.

Limited Coverage

• For example, complex workflows—including document creation, versioning, and field management—lacked comprehensive automated validation.
• Additionally, cross-function data validation proved challenging with isolated test scripts.
• Furthermore, no systematic approach to visual regression testing was in place.

Risk Exposure

• Most critically, potential calculation errors in production could directly impact patient safety.
• Meanwhile, delayed feedback loops slowed down development velocity.
• Finally, the cost of defect remediation remained high in later stages.

Solution: Automated Testing Framework for Healthcare

To overcome these challenges, the team developed a robust test automation framework for healthcare applications. They used modern tools and a scalable architecture to achieve this.

Enterprise-Grade Automation Framework

The solution leveraged CodeceptJS and Playwright. Specifically, it enabled the following capabilities:

• First, 55 fully automated calculator test suites covering aminoglycosides, cardiac medications, RSI protocols, and unit conversions.
• Second, complete lifecycle automation, including document creation, field operations, version control, and workflow management.
• Third, Page Object Model architecture ensuring maintainability and reusability.
• Finally, 12 intelligent batch groups enabling efficient parallel execution.

Key Features of the Automation Framework

Technical Innovations

The framework introduced several technical innovations. For instance, a global variable architecture enabled cross-function data persistence and validation. Likewise, smart helper classes provided 50+ reusable methods for common operations. In addition, the framework offered multi-browser support (Chromium, Firefox, WebDriver, BrowserStack). Moreover, comprehensive reporting included screenshots, HAR files, video recordings, and Excel/CSV exports.

Measurable Business Impact of Our Healthcare Test Automation Framework

• As a result of parallelization, test execution became 10–20x faster.
• Furthermore, hundreds of manual hours reduced to automated execution in minutes.
• Additionally, the team enabled continuous regression testing on every build.
• Notably, there have been zero calculation errors in production since automation deployment.
• Consequently, early bug detection occurs throughout the development cycle.
• Finally, the framework provides comprehensive validation of critical healthcare calculations.

Key Achievements

• First, the team built 60+ feature files using data-driven BDD scenarios.
• Second, they created 100+ automated test cases covering end-to-end workflows.
• Third, they configured 12 optimized batch executions for parallel cloud testing.
• Moreover, the framework supports multi-environment validation across development, staging, and production.
• Additionally, it performs database-level validation for data integrity checks.
• Finally, visual regression testing using screenshot comparison is now standard.

Why Test Automation is Critical in Healthcare

Healthcare software operates in a high-risk, compliance-driven environment where accuracy is non-negotiable. Therefore, manual testing alone cannot meet the demands of scale, speed, and precision required for modern healthcare systems.

A good healthcare software testing automation strategy provides the following benefits:

• First, consistent validation of critical calculations.
• Second, faster release cycles without compromising quality.
• Third, reduced risk of production defects.
• Finally, improved confidence in clinical decision-support systems.

Tools and Technologies Used

• CodeceptJS for test orchestration.
• Playwright for modern browser automation.
• BrowserStack for cross-browser and cloud testing.
• BDD frameworks for structured test scenarios.

Conclusion

What started as a bottleneck in manual QA evolved into a scalable, high-performance automation ecosystem. Specifically, the transition to a test automation framework for healthcare not only improved efficiency but also eliminated critical risks associated with manual validation. As a result, the organization now delivers faster releases with zero calculation errors in production. Therefore, investing in healthcare test automation is essential for any organization prioritizing patient safety and operational excellence.