How to Automate EMR Testing
Automating non-invasive EMR testing at DevOps speed
Automating electronic medical records (EMR) testing for customized, interfaced EMR systems requires a scalable and platform-agnostic test automation solution. This solution should extend EMR 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 EMR testing 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 automation software testing. This approach broadens coverage beyond basic code compliance and functional test, extending coverage to the overall user experience (UX).
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Eggplant Test
Any platform
Use Eggplant Test to ensure your EMR system functions correctly across all browsers, operating systems, and devices.
Model-based testing
Enhance testing accuracy and reliability with Eggplant’s AI engine, which predicts how healthcare software will behave under various conditions.
Intelligent computer vision
Test from the user's point of view, facilitate testing of complex UX elements, and ease maintenance with Eggplant.
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Frequently asked questions about EMR testing
Medical EMR testing involves evaluating Electronic Medical Records (EMR) systems to ensure they function correctly and meet specific standards. EMR systems are digital platforms healthcare providers use to store and manage patient information, such as medical history, diagnoses, treatment plans, and medications. For more information, refer to this Testing the EMR and Beyond ebook.
EMR testing requirements focus on ensuring system functionality, integration, and performance. Key areas include validating EMR features, integrating with other systems like PACS, conducting regression testing after updates, assessing user interface and usability, and evaluating performance under high loads. Automated tools like Keysight Eggplant simplify this process by intelligently generating and executing test cases, covering complex scenarios that manual testing alone couldn't manage efficiently. This ensures seamless operation and reliability of EMR systems, critical for maintaining high-quality patient care.
EMR (Electronic Medical Record) testing is employed to ensure the proper functioning, interoperability, and reliability of electronic health record systems. Its primary purposes include functional testing, Integration testing, regression testing, and user interface/usability testing. Refer to this Testing the EMR and Beyond ebook for more information.
When testing EMR systems, five key areas are emphasized: functionality, integration, regression, user interface/usability, and performance. Functionality testing verifies that all features work as intended, from patient registration to e-prescriptions. Integration testing ensures seamless interaction between the EMR and other systems, such as PACS. Regression testing is performed after updates to confirm that new changes haven't broken existing functionalities. User interface and usability testing focus on making the system intuitive and accessible for all users, enhancing the overall experience. Performance testing gauges the EMR's ability to handle heavy loads and multiple simultaneous users without compromising speed or reliability. These 5 areas collectively help maintain the integrity and effectiveness of EMR systems, supporting optimal patient care.
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