VA · VA-25-6055 · record R2134

Community Care Clinical Documents

Department of Veterans Affairs · VHA: Veterans Health Administration

Overview

Development stage: In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
High-impact designation: High-impactSource: a) High-impact
Impact justification: Not reported
Start date: Not reported
Withheld from public reporting: Not reported

Mission

Topic area: Health and Medical
Operational functions: Clinical and medical Derived by keyword rules; see methodology

Problem the AI is intended to solve

Thousands of Veterans receive care in the community in both unscheduled urgent/acute care settings and scheduled care settings. Following these encounters, VA must receive clinical documentation describing the encounter and address follow-up care needs. The current process for this is manual, inefficient, and not always effective at timely documentation retrieval. This results in delayed care for Veterans and duplication of services.

Expected benefits

Solving this problem will improve care quality for Veterans, decrease administrative burden on clinicians, automate manual processes, and improve workforce efficiency, resulting in decreased burnout and overtime expenditures.

System outputs

This product will automate identification, retrieval, and notification in the context of community care clinical documents.

Technology

AI classification: Agentic AISource: Agentic AI: AI systems that perform tasks or make decisions autonomously with minimal human intervention.
System name(s): Not reported
Custom-developed code: Not reported
Public source code: Not reported

Sourcing

How it was built: Not reported
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: Not reported
Privacy Impact Assessment: Not reported
Authorization to Operate: Not reported
Demographic features: Not reported
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