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…
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…
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.
Medallia Software as a Service (SaaS) - VSignals and ESignals
Ability to take concrete action to address the concerns and pain points of Veterans by case-managing and undertaking service recovery on input/commentary provided by Veterans abou…
Ask VA Inquiry Automated Category Classification System
Primary Problem - Manual Categorization Burden: Veterans and their families currently manually navigate complex category, topic/subtopic selection fields when submitting inquiries…
Loan Guaranty Lender’s Handbook Chatbot
Loan Guaranty Service (LGY) has many policy and procedural documents that are difficult to know and retrieve information for. This AI tool is designed to make the knowledge retrie…
GenAI for KM
To provide agents/users content insight capabilities beyond simple keyword search currently available and improve response time & quality and incorporate updated source content in…
Education Call Center (ECC) Next Gen POC
To give easier access to information like approved, current procedures or helpful tips to call center employees that engage directly with Veterans. This is a high turnover positio…
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…
Federal EHR End User Peer Support Chatbot
Federal EHR end user support meets peak in the first three months after roll-out. The current model of super user support is not sustainable when EHRM-IO restarts deployment with…