HHS · no agency ID · record R0705

Leveraging AI for the Creation of Synthetic Datasets

Department of Health and Human Services · HHS/CDC

Overview

Development stage: PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: 2025-04 (month precision)Source: Apr-25
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Science
Operational functions: Software development assistance Derived by keyword rules; see methodology

Problem the AI is intended to solve

We aim to generate synthetic datasets that will support training, testing, and software development improving the overall development process

Expected benefits

The use of an AI-assisted programming environment can significantly reduce the time required to write code for generating synthetic datasets. This efficiency allows us to quickly create the necessary variables and establish the relationships between them. The synthetic data produced through this project will enhance the training experience and streamline the software development process.

System outputs

The primary outputs from the AI system will include synthetic datasets specifically designed to simulate Healthcare-Associated Infection (HAI) data.

Technology

AI classification: Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
System name(s): Not reported
Custom-developed code: No
Public source code: Not reported

Sourcing

How it was built: Contract and in-houseSource: c) Developed with both contracting and in-house resources
Vendor (as reported): Not reported
Vendors (standardized): None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII: No
Privacy Impact Assessment: Not reported
Authorization to Operate: No
Demographic features: k) None of the above
Training and evaluation data: Not reported
Federal Data Catalog: Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported

AI impact assessmentNo answer reported

Independent reviewNo answer reported

Ongoing monitoringNo answer reported

Operator trainingNo answer reported

Fail-safeNo answer reported

Appeal processNo answer reported

User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported