The MDACA Synthetic Data Engine (SDE) enables seamless access and creation of meaningful, intelligent synthetic data without compromising the privacy of corresponding sensitive, real data. The MDACA SDE is built on 100% open-source and cloud-native technologies and creates non-reversible, artificially generated data assets with the statistical characteristics and correlations of real-world data. These synthetic data assets can be used in SDLC driven unit testing, functional testing, regression testing and can als- be used in the development machine learning algorithms and training data sets while safeguarding the underlying real data from disclosure or reverse-engineering. MDACA SDE supports the Defense Health Agency (DHA) within the Digital Innovation Lab, leveraging AWS GovCloud and Equinix cloud adjacent environments. SDE is available for DHA's largest repository of patient medical data as a lightweight tool that can generate 100,000+ records by using advanced AI mechanisms to ensure the relevance of data while protecting PHI/PII data from being reversed engineered. Accordingly, SDE is a value asset to streamline the software development life cycle and to catalyze machine learning algorithms without the use of the underling real data.
To-Be
The MDACA Synthetic Data Engine provides DHA Data Scientists with enterprise-level data generation capabilities for use with software development and machine learning initiatives while safeguarding the underlying real data from disclosure or reverse-engineering.
Stakeholders
Yes, Defense Health Agency
Business Process Model
Automating Manual Processes. Replacing repetitive manual workflows with automated systems to improve efficiency and reduce errors. Improving Decision-Making with Actionable Insights. Enabling more informed decisions by providing clear, actionable, and data-driven insights to stakeholders. streaming the software development lifecycle and catalyzing machine learning algorithms