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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
HHS · no agency ID · record R0690

DHDSP NOFO Technical Assistance Chatbot

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
Chatbot or virtual assistant Derived by keyword rules; see methodology

Problem the AI is intended to solve

The Division for Heart Disease and Stroke Prevention (DHDSP) experienced numerous challenges in coordinating with grantees/recipients to support questions related to their programs. These challenges often resulted in inefficiencies such as inconsistent communication, limited accessibility to data, potential inaccuracies in responses, and delayed responses. To address these issues, the TA Chatbot was developed to reduce the administrative burden on staff related to their assigned Technical Assistance (TA) case load.

Expected benefits

The chatbot is trained on hundreds of DHDSP NOFO specific and HHS policy documents that PDSB Project Officers, PDSB Data Team, and AREB Evaluation TA Providers would have to search through to find answers to recipient questions. Use of this chatbot will save hundreds of hours of staff time so they can focus on other tasks to support DHDSP-funded recipients.

System outputs

The Technical Assistance chatbot incorporates a Large Language Model (LLM) AI to provide quick, accurate, plain-language answers to questions on grants policy and program processes, protocols, and requirements.

Technology

AI classification
Natural language processingSource: Natural Language Processing: AI that processes, interprets, and shares information in human language.
System name(s)
EDAV (Enterprise Data Analytics and Visualization Platform)
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
Yes
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