Medical Virtual Assistant Patent Application

ChangeBridge: Patent Apps - Health Informatics (G16H)

Published September 23rd, 2025

Detected March 26th, 2026

Summary

The USPTO has published a patent application (US20260088146A1) for a Medical Virtual Assistant. The application describes a method for processing patient treatment prompts using machine learning models to generate actionable recommendations.

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What changed

This document is a USPTO patent application (US20260088146A1) for a Medical Virtual Assistant. The application details a method where a user device receives a prompt related to patient treatment, accesses a back-end system to determine the treatment context, and uses trained machine learning models to process the prompt and generate actionable recommendations. These recommendations are then outputted via the user device or an associated device.

As this is a patent application, it does not impose new regulatory obligations or compliance deadlines on regulated entities. However, it signals potential future technological developments in healthcare informatics and AI-driven patient care, which compliance officers in the healthcare and technology sectors should monitor for emerging trends and potential impacts on their operations or product development strategies.

Source document (simplified)

← USPTO Patent Applications

MEDICAL VIRTUAL ASSISTANT

Application US20260088146A1 Kind: A1 Mar 26, 2026

Inventors

Anamaria Castillo, Pierre Velu, Vanessa Carpano Chauvin, Adrian Barry, Eric Brown, Christopher E. Cramer, Niko Benjamin Huber, Sravani Gurijala, Ramesh Kothapalli, Nikita Singh, Udaya Kumar Swamy Vasa, Nikhil Kumar

Abstract

A method includes receiving, by a user device, a prompt associated with treatment of a patient. The method includes determining a treatment context for the treatment of the patient based on access to a back-end treatment context support system. The method includes processing the prompt in view of the treatment context using one or more trained machine learning models to generate one or more actionable recommendations. The method includes outputting the one or more actionable recommendations via at least one of the user device or an additional device associated with the user device.