White Paper

Executive Summary GenAI has ignited rapid experimentation with synthetic test data, but enterprise-scale execution remains elusive, as shown in the World Quality Report 2025–26. The problem is not how fast data can be generated, but how reliably it can be engineered. QE

In today’s digitally connected healthcare landscape, Electronic Health Record (EHR) and Electronic Medical Record (EMR) systems are the backbone of patient data management. These systems support clinical workflows, billing, diagnostics, and data sharing across providers.

Executive Summary

Two data-centric disciplines—Test Data Management (TDM) and AI/ML training data generation—have historically operated in parallel, each serving distinct purposes with separate tools, strategies, and success metrics. TDM has been focused on accelerating test coverage, ensuring compliance, and improving software quality across DevOps pipelines. AI/ML data provisioning, on the other hand, has centered around statistical distributions, large-scale data generation, and eliminating bias in training sets to support intelligent systems.