Federal AI Intelligence · U.S. Government AI Observatory

Custom inventory report

Filter: agency = HHS; AI type = unknown

Generated 2026-10-12 18:40 UTCDataset: 2025 Federal Agency AI Use Case Inventory (individually reported use cases), Office of Management and Budget (OMB). Version 2025-inventory@62d5baa65fa3, processed 2026-10-11, rules 2026.10.1. Static snapshot.Applied filters: agency = HHS; AI type = unknown · 49 records

Key findings

49 use-case records from 1 agencies: 0 deployed (0%), 0 pilots, 0 in development or acquisition, 49 retired, 0 with no stage reported.
0 records are designated high-impact; 0 of them (n/a) answered at least one minimum-practice question.
Sourcing is reported for 0% of use cases. Where reported, n/a involve in-house development.

Lifecycle

Stage	Records	Share
Retired	49	100%

AI technology

Classification	Records	Share	Deployed
Not reported	49	100%	0

Agencies

Agency	Records	Deployed	High-impact	Completeness
HHS · Department of Health and Human Services	49	0	0	17%

High-impact designation

Designation	Records
Not high-impact	49

Governance evidence: use cases designated high-impact

Practice	In place	In progress	Not in place	N/A or precluded	Other	No answer	In scope
Pre-deployment testing	0	0	0	0	0	0	0
AI impact assessment	0	0	0	0	0	0	0
Independent review	0	0	0	0	0	0	0
Ongoing monitoring	0	0	0	0	0	0	0
Operator training	0	0	0	0	0	0	0
Fail-safe	0	0	0	0	0	0	0
Appeal process	0	0	0	0	0	0	0
User and public consultation	0	0	0	0	0	0	0

"In place" means the agency reported the practice as established. "No answer" means the field was blank; it says nothing about whether the practice exists.

Method

All figures are computed directly from the normalised inventory records. Category labels are normalised from the source answer options; original values are kept on each record. Governance answers are classified as in place, in progress, not in place, not applicable, precluded, waived, other or no answer, and blanks are never read as "no". See the Methodology page for full rules.

Limitations

Figures are what agencies reported in the 2025 inventory. They are not verified, and registration of use cases is not complete for every agency.
A blank answer is missing evidence, not evidence that a practice or safeguard is absent.
Counts are use-case records. A larger portfolio does not indicate better performance or greater AI maturity, and agencies differ in how they split systems into use cases.
The inventory has no budget, cost, accuracy or outcome data. None is shown or inferred here.
This is a disclosure analysis. It is not an audit, a compliance determination or an official government assessment.

Source records

First 40 of 49 records, deployed first. The full list is available as CSV from the explorer with the same filters.

Record	Agency	Use case	Stage
R0596	HHS	Design Your Facility	Retired
R0598	HHS	Grant Spend Health Analysis	Retired
R0602	HHS	Unaccompanied Children Process Model Digital Twins	Retired
R0603	HHS	Analyzing Public Comments on Proposed Rule	Retired
R0604	HHS	Outreach List Segmentation	Retired
R0609	HHS	Policy Knowledge Base Data Migration	Retired
R0611	HHS	Intakes Referral Parser	Retired
R0612	HHS	Training and Technical Assistance (TTA) GenAI Chatbot	Retired
R0613	HHS	Funding Opportunity Redundancy Analysis	Retired
R0623	HHS	Chatbot	Retired
R0624	HHS	Chatbot	Retired
R0625	HHS	Enhancing Diversity in Peer Review - Pilot	Retired
R0626	HHS	NLQuery- As Data or Pulse	Retired
R0627	HHS	Quality and Safety Review System AI-enabled automated abstraction	Retired
R0629	HHS	USPSTF Public Forms Data AI Integration	Retired
R0637	HHS	HaMLET: Harnessing Machine Learning to Eliminate Tuberculosis	Retired
R0638	HHS	Adverse Childhood Experiences (ACEs) Literature Review Dashboard	Retired
R0661	HHS	A reusable NLP pipeline for clinical narratives preprocessing and characterization	Retired
R0666	HHS	Evaluating Generative AI for polio containment.	Retired
R0683	HHS	Development of in-silico genomic and patient datasets using generative ML algorithms	Retired
R0686	HHS	Retrieval Augmented Generation (RAG) with Q-Bank	Retired
R0687	HHS	Using generative AI to gain insight of older adult falls	Retired
R0709	HHS	Lectora AI Toolkit and Microbuilder authoring tools	Retired
R0760	HHS	Performance Metrics Database and Analytics (PMDA)	Retired
R0787	HHS	EPRO HTA Reporting	Retired
R0788	HHS	Text Network Analysis POC	Retired
R0904	HHS	Autism Spectrum Disorder (ASD) Classification Model for Children using Deep Neural Network	Retired
R0905	HHS	Automated approaches for table extraction	Retired
R0918	HHS	individual Functional Activity Composite Tool (inFACT)	Retired
R0921	HHS	LLM Support for Admin Services	Retired
R0924	HHS	MicroStrategy Evaluation	Retired
R0932	HHS	OCIO GenAI Advisor	Retired
R0937	HHS	RCDC AI Validation Tool	Retired
R0940	HHS	Similarity-based Application and Investigator Matching (SAIM)	Retired
R0942	HHS	Stem Cell Auto Coder	Retired
R0944	HHS	Synonymy prediction in the UMLS Metathesaurus	Retired
R0947	HHS	Transformative Research Award Anonymization Check (TRAAC)	Retired
R0948	HHS	Machine learning pipeline for mining citations from full-text scientific articles	Retired
R0949	HHS	Machine learning system to predict translational progress in biomedical research	Retired
R0950	HHS	AI Software for Conference/Workshop Summaries	Retired

Prepared with Federal AI Intelligence by Irakli Petriashvili. Source: https://github.com/ombegov/2025-Federal-Agency-AI-Use-Case-Inventory