Federal EHR End User Peer Support Chatbot
Description
Federal EHR end user support meets peak in the first three months after roll-out. The current model of super user support is not sustainable when EHRM-IO restarts deployment with an accelerated schedule (i.e., 13 sites in 2026). This tool will alleviate the burden on super users by answering the basic, frequently asked questions by a Retrieval-Augmented Generation (RAG) over LLM model, allowing the super users to address the more complex questions.
Detailed example
Responses to the user questions related to the use of the Federal EHR.
AI / analytics pattern
Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
This use case will lead to increased efficiency, staff satisfaction, enhanced patient outcomes, and help successfully accomplish the VA secretary's strategic goal of Federal EHR deployment
Controls / human review
ATO: Not reported; PIA: Not published