Federal AI Intelligence
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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
HHS · no agency ID · record R0936

Program Classification Coding

Department of Health and Human Services · HHS/NIH

Overview

Development stage
In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
High-impact designation
Not high-impactSource: c) Not high-impact
Impact justification
Not reported
Start date
Not reported
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 aid users, a solution has been developed that suggests the specific PCC that should be assigned to each application.

Expected benefits

The Division staff is responsible for handling a large volume of applications during each council round, with the task of processing and assigning PCCs. To aid users, a solution has been developed that suggests the specific PCC that should be assigned to each application.

System outputs

Model Inputs: Impac II data fields (Specific Aims, Project Title, and Study Section) and Out put is top 3 predicted PCCs. User views list of applications and top 3 suggestions by clicking on a report for the selected council date. Use can filter view by IC/OrgCode and Program Officers names.

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)
Not reported
Custom-developed code
Not reported
Public source code
Not reported

Sourcing

How it was built
Not reported
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
Not reported
Privacy Impact Assessment
Not reported
Authorization to Operate
Not reported
Demographic features
Not reported
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