Natural Language Online Workflow (NOW)
Description
- Information Gaps and Misinformation: Veterans and staff often have trouble finding accurate, consistent answers about vasectomy procedures, eligibility, risks, and next steps. Policies and contacts change and not everyone knows where to look. - Inefficient Consult Request Process: Requesting a consult can be confusing, requiring multiple phone calls, paper forms, or follow-ups that delay care. Veterans may give up or receive the wrong info, which slows down the process and frustrates everyone. - Inefficient Use of Staff Time on Routine Questions: Clinical and administrative staff spend a lot of time answering the same questions or redirecting Veterans to the right place. This eats up resources that could be used for more complex cases. - Missed or Delayed Care: If eligibility is unclear, or the Veteran doesn’t know how to proceed, appointments and procedures get delayed. This can lead to worse outcomes and more work down the line. - Inconsistent Communication: Without a standard source, Veterans might get different answers depending on who they ask or what site they visit.
Detailed example
- Personalized Responses: the chatbot gives tailored answers to user questions about vasectomy procedures, eligibility, risks, recovery, and next steps—based on the latest VA policies and user input. - eligibility Screening Results: it guides users through a Screening process and outputs a clear summary: whether the Veteran appears eligible, concerns or risks to discuss with a provider, and any required follow-@up steps -@ consult request Guidance: it outputs step-@by-step instructions or links to start a vasectomy consult, including local facility contact info and how to proceed based on the user’s location. -@ summary of user Input: the chatbot can output a formatted summary of the Veteran’s Responses (e.g., medical history, concerns) for review by a clinician or for the user to save. - Referral or Escalation Notices: If the chatbot can’t answer a question, it outputs a message acknowledging the limit and Flags the question for human follow-up, ensuring nothing falls through the cracks. - Data Logs and Analytics: on the backend, it outputs Logs of common questions, user needs, and potential gaps in information. This helps the agency track trends, monitor usage, and improve over time.
AI / analytics pattern
Agentic AI: AI systems that perform tasks or make decisions autonomously with minimal human intervention.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
- Centralizes reliable information in one place and it is always up-to-date. - Removes ambiguity for users by guiding them through eligibility and next steps. - Streamlines the consult request process, making it easy to start and track the process. - Reduces repetitive work for staff, so they can focus on higher-priority needs. - Flags new or complex questions for human follow-up, so nothing falls through the cracks.
Controls / human review
ATO: Not reported; PIA: Not published