6 matching use cases
OMB 2025 Individually Reported AI Use Cases ×Service Delivery ×VHA: Veterans Health Administration ×
OMB-IND-VA-24-2426OMB Individually Reported

App feedback model for NLP tasks

The objective is to utilize Natural Language Processing (NLP) with comment reviews for Appfeedback, specifically to identify named entities (NER), profanity, and stop words, and p…

OMB Individually ReportedService DeliveryLow risk
OMB-IND-VA-24-2549OMB Individually Reported

Sentiment analysis for app feedback

Analyzing and summarizing feedback provided by patients and providers for VA Mobile Apps. Identifies trends and makes inferences of "App Feedback" data to provide a scalable solut…

OMB Individually ReportedService DeliveryLow risk
OMB-IND-VA-24-2672OMB Individually Reported

App Feedback categorization model

Consolidating feedback provided by patients and providers for VA Mobile Apps. Simple aggregation of data that provides a dashboard for clients to view and monitor trends.

OMB Individually ReportedService DeliveryLow risk
OMB-IND-VA-25-2906OMB Individually Reported

Natural Language Online Workflow (NOW)

- Information Gaps and Misinformation: Veterans and staff often have trouble finding accurate, consistent answers about vasectomy procedures, eligibility, risks, and next steps. P…

OMB Individually ReportedService DeliveryHigh risk
OMB-IND-VA-25-3732OMB Individually Reported

Modeling to Learn (MTL)

Modeling to Learn is designed to address the limited start, flow, and dose of evidence-based psychotherapy and evidence-based pharmacotherapy for Post Traumatic Stress Disorder (P…

OMB Individually ReportedService DeliveryHigh risk
OMB-IND-VA-25-4474OMB Individually Reported

Image Quality Control Tool

Currently, patients submit images to My VA Images, then a provider reviews the images. If a patient submits a low quality image, they must await a response from the provider, who…

OMB Individually ReportedService DeliveryLow risk