Software testing requirements for healthcare industry applications are particularly complex, with strict data privacy regulations such as HIPAA to consider, along with complex data sets to manage. With the adoption of Electronic Health Records (EHR) and Electronic Medical Records (EMR), the variety and volume of available healthcare data also continues to expand.
In the same way that EDI X12 helped to shape and streamline healthcare data exchange, the Fast Healthcare Interoperability Resource (FHIR) standard offers another framework for addressing many of the challenges presented by the rapid adoption of analytics, informatics and other digital-centric technologies in healthcare. However, modernizing health IT and analytics systems still faces one difficult challenge: Provisioning quality test data without putting sensitive information at risk.
This is where synthetic data automation comes into play. With synthetic data automation, healthcare software teams can rapidly generate test data that meets FHIR or EDI standards and maintains HIPAA compliance.
How Synthetic Data Automation Fuels Digital Transformation in Healthcare
Successful software quality assurance and testing operations depend on test data that is not only secure, but controlled (i.e., data variations), clinically accurate and available in high volume to support the many forms of functional, load and regression testing that any new software or feature update must undergo to reduce risk to sensitive information.
With GenRocket, testing teams can rapidly generate data that complies with standards like X12 EDI, HL7 and FHIR without accessing data from a production environment. The image below shows a simple visualization of how it works; GenRocket’s test data platform pulls from a store of X12 EDI XML Schema files to generate synthetic data, while also allowing users to customize their data sets for different use cases.
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