Automating testing for customized, interfaced electronic medical records (EMR) systems requires a scalable and platform-agnostic test automation solution. This solution should extend test coverage beyond functionality to keep up with increasingly complex test requirements such as integration with connected devices, system interoperability, and stability under stress conditions. To adhere to rigorous regulations such as the Health Insurance Portability and Accountability Act (HIPAA), the solution also must be non-invasive, eliminating the requirement for source code access or potential for exposure of protected health information.
Test automation for EMR systems leverages artificial intelligence (AI) and machine learning to incorporate real user journeys, fixed regression cases, and past test failures to automatically generate new test cases for effective healthcare software testing. This approach broadens coverage beyond basic code compliance and functional test, extending coverage to the overall user experience (UX).
How to Automate EMR System Testing
Deliver faster with model-based, AI-powered test automation
Use Eggplant Test to ensure your EMR system functions correctly across all browsers, operating systems, and devices.
Enhance testing accuracy and reliability with Eggplant’s AI engine, which predicts how healthcare software will behave under various conditions.
Test from the user's point of view, facilitate testing of complex UX elements, and ease maintenance with Eggplant.
Additional resources for EMR systems testing