Vaccine Tracking System (VTrckS) Conversational AI Pilot

Overview

Development stage

PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.

High-impact designation

Not high-impactSource: c) Not high-impact

Impact justification

Not reported

Start date

2025-10 (month precision)Source: Oct-25

Withheld from public reporting

NoSource: a) No

Mission

Topic area

Health and Medical

Operational functions

Chatbot or virtual assistant Derived by keyword rules; see methodology

Problem the AI is intended to solve

The VTrckS Conversational AI module will provide a user-friendly prompt driven approach to gaining insights into the VTrckS datasets. Current approach involves utilizing the SAP HANA’s reporting modules and custom dashboards. The conversational AI approach will allow for a more human friendly metto quick insights without having to learn about the underlying data models.

Expected benefits

This AI pilot aims to add efficiency for CDC awardees and CDC program staff in gathering insights from the VTrckS order, distribution, shipping, transfers and provider information available in the NCIRD’s Advanced Business Intelligence Platform (NABIP). This tool will allow awardees to rapidly gather insights with no coding required both during routine operations and local or national emergency response. Some examples of data insights users gather from the data includes: - Assess active providers – Determine if provider is complaint to obtain vaccines through VFC or 317 programs. - Provider Management – Validate address and scope of provider’s offering to public. - Determine providers with specific vaccine availability – Determine provider vaccine inventory unique to vaccines distributed. - Assess provider locations against vulnerable populations – Quickly respond to routine or emergent request for information related to provider locals with key vaccine inventory.

System outputs

The tool will output responses to prompts that allow for VTrckS program users and awardees on their data sets. For example: Input: How many providers are in the State of Washington Output: <Includes number of providers in State of Washington>

Technology

AI classification

Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).

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