HHS · no agency ID · record R0808

Integrated Data Repository (IDR) Customer Analytic Environment (CAE)

Department of Health and Human Services · HHS/CMS/OIT

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: 2025-07 (month precision)Source: Jul-25
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Information Technology
Operational functions: Forecasting and prediction Derived by keyword rules; see methodology

Problem the AI is intended to solve

Provides an AI/ML environment connected to the IDR that enables CAE customers to focus on their AI use cases and business outcomes, without the burden of setting up or maintaining their own IT infrastructure or AI/ML labs or environments.

Expected benefits

The CAE provides CMS Centers and Offices with secure, fully managed AI/ML workspaces directly integrated with the IDR, eliminating the need to build or maintain separate infrastructure. This accelerates AI innovation, shortens time-to-insight, and enables scalable adoption of advanced analytics across the agency.

System outputs

Within the CAE, AI systems produce outputs such as predictions (e.g., forecasting trends, detecting anomalies), recommendations (e.g., suggested actions or risk mitigation strategies), classifications (e.g., grouping records or identifying patterns), and other decision-support insights. These outputs are generated from IDR data within a secure, fully managed environment and are designed to inform and augment human decision-making across CMS programs, not to operate autonomously.

Technology

AI classification: Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
System name(s): Integrated Data Repository (IDR) Cloud
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): GDIT
Vendors (standardized): GDIT

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

Data and privacy

Involves PII: Yes
Privacy Impact Assessment: Not reported
Authorization to Operate: Yes
Demographic features: k) None of the above
Training and evaluation data: CAE is an environment where customers will build their ML models and AI use cases, by leveraging the IDR
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