Test data infrastructure for Healthcare and Life Sciences

Healthcare and Life Sciences  organizations are under constant pressure to innovate, meet strict regulatory requirements, and safeguard patient regulated data—all while maintaining seamless operations across complex platforms includingGxP Applications,  EHR, ERP, custom applications, and across the IT application landscape. Reliable application testing is critical to ensure end-to-end testing.

Synthesized empowers Healthcare and Life Sciences companies of all sizes to accelerate software delivery by provisioning compliant, production-like test data at scale, helping teams improve quality and reduce risk across every release.

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Trusted by data teams at world's leading companies

Manual test data creation and fragmented environments are major obstacles in Healthcare and Life Sciences IT landscape.Generating and managing test data for diverse systems is slow, resource-intensive, and often fails to meet regulations such as HIPAA and GDPR.Privacy concerns and compliance requirements complicate data management, while legacy applications and ongoing digital transformation initiatives create additional bottlenecks. Engineering and QA teams spend valuable time resolving data access issues, managing compliance, and coordinating with IT—slowing innovation and potentially impacting patient care.

Automated test data infrastructure transforms Healthcare and Life Science end-to-end testing by enabling secure, scalable, and compliant workflows that support rapid innovation and protect sensitive information.

Why synthesized

Synthesized is built for the Healthcare & Life Sciences industry

Provision compliant, production-like test data

Instantly generate secure, production-like test data for Epic, Cerner, Meditech, and other core healthcare platforms, reducing test cycle times and release delays.

Unified data management across legacy and modern systems

Consolidate test data management for both legacy and cloud-based healthcare applications, ensuring consistency and reliability in every environment.

Self-service access for distributed teams

Enable healthcare teams to access compliant test data on-demand, eliminating bottlenecks and improving productivity.

Automated data privacy and regulatory compliance

Automate data masking and anonymization to meet HIPAA, GDPR, and other privacy regulations, safeguarding sensitive patient information.
Generate

Data generation any development and QA use-case

Automate and streamline the test data generation process , ensuring the availability of high-quality production-like data for testing while removing manual efforts and accelerating development cycles.
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Generate
Mask

Reduce the risk with codified regulatory rules

Ensure regulatory compliance and reduce risk by encoding masking policies that protect sensitive data from breaches and legal liabilities.
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Mask
Subset

Access the right data, not all the data

Enable secure, role-specific data access, or create tailored subsets and selectively mask sensitive information to balance usability and protection.
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Subset

Talk to the team

Generate high-fidelity production-like databases for testing and development with only a prompt.
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