VA · VA-24-5583 · record R2295

VA CART Mortality Model

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: Risk scoring and triage, Clinical and medical Derived by keyword rules; see methodology

Problem the AI is intended to solve

The VA CART mortality risk model is based on logistic regression using baseline clinical and procedural variables to predict post-PCI 30-day mortality. The model is available to facilitate risk stratification at the point of care.

Expected benefits

More informed personalized discussion with the patient - the outputs of the AI system is an additional resource for care providers

System outputs

The probability of post-Percutaneous Coronary Intervention (PCI) 30-day mortality

Technology

AI classification: Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
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