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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
VA · VA-24-4554 · record R2102

Extract patients’ diagnosis information and map the diagnosis to oncotree

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

Extract patient diagnosis from unstructured patient notes and map the diagnosis to oncotree, because these information typically is extracted manually and it takes a long time to be put into the database.

Expected benefits

This project could increase efficiency, save cost, and enhance patient outcomes. With real time diagnosis tracking, the national oncology program is able to better support the patient with cancer diagnosis and understand each veterans' individual needs. While AI extract the information from the unstructured notes, it speed up the review process, providers can save time to help more patients rather than taking a long time to review each notes.

System outputs

Patient cancer diagnosis and the oncotree mapping

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
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