VA · VA-24-4595 · record R2103

Cancer Patients Symptom Burden

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

Attempt to extract patients' symptom burden information from unstructured notes to increase the speed of providers identifying patients that may benefit from additional support for symptom management or mental health.

Expected benefits

Providers are able to identify patients that might benefit from additional support more quickly rather than reviewing entire notes as AI would highlight the parts that are relevant to the symptoms. This increases efficiency and saves cost as well. With providers more aware of patients' symptoms, they can spend less time and effort identifying patients that suffer from high symptom burdens. Providers would be more able to reach out and support the patients in need of support, therefore improving patient outcomes.

System outputs

Information on patient symptom burden, including symptoms related to mental health needs of cancer patients

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