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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
HHS · no agency ID · record R0678

Risk Assessment Module (RAM) for the National Diabetes Prevention Program (National DPP) Operations Center.

Department of Health and Human Services · HHS/CDC

Overview

Development stage
DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
High-impact designation
Not high-impactSource: c) Not high-impact
Impact justification
Not reported
Start date
2024-08 (month precision)Source: Aug-24
Withheld from public reporting
NoSource: a) No

Mission

Topic area
Administrative Functions
Operational functions
No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

To assist in determining if an organization participating in the National DPP is at risk of improperly starting, going inactive, or not achieving necessary goals for continued participation in CDC’s Diabetes Prevention Recognition Program.

Expected benefits

The RAM module helps program managers synthesize large amounts of organization-level data to make informed decisions on assisting organizations, leading to increased program participation and improved health outcomes.

System outputs

The RAM is a reporting tool that ingests organization-level data (including participant enrollment, demographics, and risk factors) to generate a ranked list of organizations at highest risk of failing to meet program objectives. Outputs are currently restricted to CDC associates, with plans for future access by State Quality Specialist users.

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)
DDT DPRP Portal
Custom-developed code
Yes
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
Yes
Demographic features
k) None of the above
Training and evaluation data
Historical data from organizations’ 6-month submissions of participant attendance in Lifestyle change classes, sourced from the DDT DPRP Portal.
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