AI-Assisted View Alert Management

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

By analyzing and prioritizing alerts, this tool will reduce unnecessary notifications and help clinicians focus on what matters most, enhancing care for Veterans.

Expected benefits

- Reduce alert fatigue and clinician burnout by minimizing unnecessary distractions. - Improve clinical efficiency and workflows through targeted triage and routing of critical alerts. - Enhance patient safety and resource allocation by prioritizing meaningful and actionable view alerts. - Increase return on existing technology investments by optimizing the performance of the current alerting functionality.

System outputs

Switchboard will build new AI models trained on annotated message data. Message annotation will be conducted in a structured process using a dataset of View Alerts (subject to design). The end-state AI models will apply the following label types to messages: - Label assignment of 5 core labels: Clinically Urgent, Clinician, Scheduling, Form, and Refill - Additional label assignment of VA-specific labels based on review of the dataset where patterns are identified. These will include: a) No potential provider action b) Medication nearing expiration c) Non-critical alerts for inactive providers Or additional view alert labels that are relevant to the VA workflow: - Flagging of clinically irrelevant View Alerts - Flagging of duplicative View Alerts

Technology

AI classification

Agentic AISource: Agentic AI: AI systems that perform tasks or make decisions autonomously with minimal human intervention.

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.

Potential impacts and how they were identified

Not reported