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.
Potential impacts and how they were identified
Not reported