AI Use Case LibraryDoD FM · Federal · Audit · Finance · OMB 2025
Home/Browse catalog/OMB Individually Reported/OMB-IND-VA-24-5706
OMB Individually Reported

VA CART Ejection Fraction NLP

Low riskExact public inventory row

Description

The model is available to facilitate risk stratification at the point of care. It extracts ejection fraction (EF) information in VistA using Natural Language Processing (NLP) of Echocardiogram TIU report text.

Detailed example

Identifies Ejection Fraction

AI / analytics pattern

Natural Language Processing: AI that processes, interprets, and shares information in human language.

Automation level / stage

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

Expected benefit

This use case will enable a more informed personalized discussion with patients

Controls / human review

ATO: Not reported; PIA: Not published

Source

OMB 2025 Federal Agency AI Use Case Inventory

Related

More from Health and Medical

OMB-IND-NASA-487OMB Individually Reported

AI Digital Assistants (HRP) [was "Doc in a Box" for Earth Independent Medical Operations (EIMO)]

A software agent that can perform tasks or services for an individual based on commands or questions. These commands can be given through text, voice, or other interfaces. DAs lev…

OMB Individually ReportedHealth and MedicalMedium risk
OMB-IND-NASA-734OMB Individually Reported

Personal Health Information (PHI) AI Platform

Ability to use PHI data

OMB Individually ReportedHealth and MedicalLow risk
OMB-IND-NASA-764OMB Individually Reported

Space Precision Health Foundation Model

This project aims to leverage data available within the NASA Open Science Data Repository to train a model or set of models that can predict patterns related space health outcomes.

OMB Individually ReportedHealth and MedicalLow risk
OMB-IND-ROW628OMB Individually Reported

emPOWER AI

Public health authorities, first responders and others across the emergency management spectrum indicated that they had to be able to more rapidly access HHS emPOWER Map publicly…

OMB Individually ReportedHealth and MedicalLow risk
OMB-IND-ROW634OMB Individually Reported

The NEF DSI/AI project addresses local validation of AI-based clinical decision support (CDS)/decision support interventions (DSI) in provider settings.

Assess quality of AI-based clinical decision support (CDS) tools

OMB Individually ReportedHealth and MedicalLow risk
OMB-IND-ROW638OMB Individually Reported

Detecting Stimulant and Opioid Misuse and Illicit Use

To detect and analyze non-therapeutic (illicit or misuse) stimulant and opioid use from free-text clinical notes in EHRs, which is not possible using standard medical codes.

OMB Individually ReportedHealth and MedicalLow risk