Smarter Testing Leads to Safer Care

Keysight Eggplant is an automated testing solution that helps healthcare organizations validate their software, including EMRs (Electronic Medical Records), patient portals, scheduling systems, and telehealth, to ensure reliability, compliance, and a positive user experience. It supports regression testing, UI testing, API evaluation, and can integrate into CI/CD pipelines.

By catching defects, performance issues, or UI/UX problems before they reach production, Keysight Eggplant reduces the risk of failures that could delay care, misrepresent patient data, or lead to non-compliance. Automated and frequent test cycles enable problems to be detected early.

Yes. Many healthcare organizations deliver critical applications, such as EMRs, through Citrix. Eggplant can test end-to-end workflows in Citrix environments, validating performance, responsiveness, and usability across virtual desktops and applications, ensuring clinicians can access patient data without disruption.

Yes. Healthcare software often needs to comply with standards like HIPAA, GDPR, or other regional data protection and patient-privacy regulations. Eggplant’s testing can include validation for data handling processes, privacy, audit trails, as well as performance and reliability benchmarks, helping organizations meet required standards.

Systems such as electronic health records (EHR/EMR), patient portals, telehealth platforms, scheduling systems, clinical decision support tools, billing/invoicing software, and mobile health apps. Any system with a user interface, backend APIs, or critical data flows can benefit. 

Keysight Eggplant has capabilities for testing at scale, simulating many users or high loads, and measuring metrics like latency, throughput, and error rates. This helps healthcare providers ensure systems remain reliable under expected real-world usage and during surges (e.g. high appointment volume). 

Yes. Eggplant supports a wide range of platforms (desktop, mobile, web), device types, and environments. It uses techniques like intelligent computer vision and cross-platform UI automation to validate consistent behavior across devices. 

Some of the key benefits include: reduced number of post-release defects (and related costly fixes), faster release cycles (so innovation or updates reach users more quickly), improved user satisfaction (for patients and staff), lowered risk of regulatory penalties from failures, and better reliability during peak usage periods. Over time, the costs of manual verification, repeated rework, or downtime tend to exceed investments in automation.