Expanding the Quality Evolution Platform to Unstructured Data

Unstructured Data Accelerator – Beta Test Program

We’re excited to announce the availability of GenRocket’s Unstructured Data Accelerator (UDA) for controlled beta testing. UDA is a new solution accelerator that expands the GenRocket platform beyond structured synthetic data into the world of unstructured data in the form of PDF documents, images, audio files, as well as unstructured text, sensor data and event streams.

How it works

A common use case that demonstrates the value of UDA is the ability to simulate PDF documents. Starting with a sample document, like a bank statement, UDA converts unstructured media into a PDF template and combines it with structured synthetic data with the required variety and volume. This allows synthetic documents to be generated using both positive and negative scenarios to produce comprehensive training and test data at scale.

Why is this important?

Enterprises often rely on document-heavy workflows that must operate accurately and efficiently. These systems must be trained and tested with high volumes of quality data without exposing sensitive customer or patient information. With GenRocket’s UDA solution, synthetic documents can be generated with positive and negative scenarios in terms of image recognition.

In the case of online check deposits, are the checks aligned properly, is handwritten data in the right location on the check, and is the handwriting even legible? UDA can simulate these conditions while, at the same time, generating data variations to validate the numerical values on the checks match their hand-written equivalents. This level of control over data quality allows systems to be trained and tested with unmatched speed and accuracy.

Typical use cases include:

Generating synthetic PDFs like bank statements, contracts, invoices, and claims packets.
Producing synthetic ID cards for onboarding and facial recognition workflows.
Creating synthetic audio clips to train and test customer service and compliance systems.

With UDA, organizations can accelerate testing, eliminate compliance risk, ensure full coverage, and boost the accuracy of AI/ML models — all while integrating seamlessly into CI/CD pipelines.

UDA is Now Available for Beta Testing

The Unstructured Data Accelerator is now available for beta testing to organizations that align with our beta testing objectives. Attached is a comprehensive overview of the UDA solution. If your project is addressing some of the challenges and use cases described in the document, we would be happy to discuss your participation in our beta program.

Please contact your GenRocket account director for additional information. They will schedule a discovery session with our UDA experts to discuss your specific use case and how GenRocket can meet your requirements.

Here is a brief video that describes the UDA solution.

Download the Solutions Guide to learn more and register your interest in the beta.

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Synthetic Data: The Future of EHR/EMR Testing for FHIR Compliance

Healthcare organizations face mounting challenges in testing complex Electronic Health Record (EHR) and Electronic Medical Record (EMR) systems for interoperability, compliance, and performance. As digital health platforms evolve to include APIs, microservices, and a growing array of third-party integrations, traditional masked production data no longer meets the need for secure, scalable, and accurate testing.

GenRocket’s synthetic data platform offers a transformative approach called Design-Driven Synthetic Data. It provides dynamically generated test data tailored to real-world scenarios and precise test case objectives. And with 100% HIPAA compliant test data, GenRocket empowers healthcare organizations to test every workflow—without risking patient privacy. Unlike masked production data, synthetic data ensures full referential integrity, covers edge cases and regulatory complexities, and integrates seamlessly into CI/CD pipelines.

The Future of EHR/EMR Testing for FHIR Compliance

FHIR, HL7, and X12 standards each present unique testing challenges. GenRocket supports them all with a flexible architecture that generates compliant, high-quality synthetic data for testing EHR/EMR modules, revenue cycle systems, and interoperability APIs. This future-ready approach aligns with CMS, HIPAA, and GDPR requirements while accelerating QA and reducing bottlenecks.

As AI and machine learning gain prominence in healthcare, synthetic data isn’t just about compliance—it’s about innovation. From training algorithms for early diagnosis to simulating complex clinical workflows, GenRocket’s platform future-proofs your testing strategy while delivering unmatched data quality and speed.

Synthetic data isn’t optional—it’s essential. Learn how GenRocket is redefining EHR and EMR testing for a connected, compliant, and data-driven future.

Continue reading “Synthetic Data: The Future of EHR/EMR Testing for FHIR Compliance”

#	Name	Score	Finish In
Leaderboard
1.	Kay	85%	1.25 min
2.	Kay	85%	1.25 min
3.	Kay	85%	1.25 min

Introducing GenRocket’s Unstructured Data Accelerator (UDA)

From Legacy TDM to Synthetic-First: What Changes with QEP

Design-Driven Synthetic Data is Changing the Traditional Test Data Paradigm

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