VA · VA-25-2168 · record R2308

Sleep Apnea

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: Summarization, Clinical and medical Derived by keyword rules; see methodology

Problem the AI is intended to solve

Improve Veteran care by increasing access to diagnosis and treatment of Veterans at high risk for sleep apnea, a condition that is not recognized in an estimated 80-90% of people who have it but poses significant negative impact on quality of life, productivity, sleep satisfaction, daytime fatigue, motor vehicle accidents, hypertension, and possibly other comorbidities(associations via observational trials of sleep apnea and cardiovascular morbidity and mortality) The AI solution predicts a patient's risk of Sleep Apnea. Clinicians use this information to increase access to diagnosis and treatment of patients at high risk for sleep apnea. A data pipeline, not a person, gathers the data and a LLM summarizes the information. Outputs are graded by humans to determine accuracy.

Expected benefits

Increased efficiency in delivering healthcare.

System outputs

Power BI Reports predicting a patients risk of Sleep Apnea.

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