VA · VA-25-2209 · record R2309

Coordinated Care Tracking System (CCTS) Generative AI Support

Department of Veterans Affairs · VHA: Veterans Health Administration

Overview

Development stage: DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
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

To support the CCTS application we have created a generative AI pipeline that goes through all of the radiology and pathology notes for a day and extracts all references to all cancer related findings (tumors, nodules, masses, etc) and extracts all of the characteristics and comments of the findings. These extracts will then be integrated in the CCTS application to ensure that proper diagnostic codes have been added to the scans so that a dangerous tumor is not missed. There is no fine-tuning with this system. Extracts from the notes are graded by humans to assess accuracy. This will provide insights to inform case follow up, scalable computing power for the CCTS clinical application.

Expected benefits

Increased efficiency in healthcare delivery.

System outputs

CCTS application

Technology

AI classification: Natural language processingSource: Natural Language Processing: AI that processes, interprets, and shares information in human language.
System name(s): Not reported
Custom-developed code: Yes
Public source code: Not reported

Sourcing

How it was built: Purchased from vendorSource: a) Purchased from a vendor
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