VA · VA-25-1143 · record R2210

VistA Records Accessed by SQL (VRAS)

Department of Veterans Affairs · OIT: Office of Information & Technology

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: Not reported
Withheld from public reporting: Not reported

Mission

Topic area: Health and Medical
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

The VistA Records Accessed by SQL (VRAS) is a transformative initiative aimed at modernizing data accessibility and analytics within the Department of Veterans Affairs (VA). By eliminating reliance on costly middleware and reducing process overhead, VRAS enables real-time, SQL compatible data access directly from Vista. This initiative establishes a seamless, efficient data pipeline, enhancing reporting capabilities, reducing infrastructure complexity, and supporting data-driven decision-making across all VistA instances. With improved accessibility to high-quality data, VA users can generate timely, accurate insights that drive operational efficiency and better outcomes for departments that directly affect veteran care.

Expected benefits

Full AI access to each VistA instance via ODBC/JDBC.

System outputs

All VistA Data, from Supply chain to Medical records.

Technology

AI classification: Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
System name(s): Not reported
Custom-developed code: Yes
Public source code: Not reported

Sourcing

How it was built: Developed in-houseSource: b) Developed in-house
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