Method for applying analytics through artificial intelligence for delivering medical care

ChangeBridge: Patent Grants - Health Informatics (G16H)

Published March 31st, 2026

Detected March 31st, 2026

Summary

The USPTO granted Patent US12592299B2 to Care Coordination Systems, LLC for a system integrating AI analytics into medical care coordination. The patent covers a hub computing device with data collection, real-time gap analysis, predictive activity suggestions via neural networks, and a graphical user interface for managing patient and provider information.

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What changed

USPTO granted Patent US12592299B2 to Care Coordination Systems, LLC on March 31, 2026. The patent covers a comprehensive medical care coordination system including a hub computing device with processor and display, data collection component for patient/client information and provider listings, community health records recording, and a neural network for machine learning. The system analyzes collected data, identifies care gaps in real-time, and provides predictive activity suggestions.

This patent grant establishes intellectual property rights for the patent holder and may affect competitive dynamics in the health informatics and AI-driven care coordination space. Competitors developing similar AI-based care coordination systems should review the patent claims to assess potential licensing needs or design-around implications. No immediate compliance actions are required for most entities; however, technology companies in this sector should consider the patent's scope when developing new products.

Source document (simplified)

← USPTO Patent Grants

Method for applying analytics through artificial intelligence for delivering medical care

Grant US12592299B2 Kind: B2 Mar 31, 2026

Assignee

Care Coordination Systems, LLC

Inventors

Bob Harnach

Abstract

The present disclosure is directed to a system for coordinating medical care including a hub computing device which operates as a hub portal comprising a processor and a display, a data collection component, wherein the data collection component allows for a listing of clients or patients including client information and client personas, a listing of medical, health and social service providers to be uploaded onto the hub portal by an associated hub user, and for recording of a patient's community health records with various service providers through use of the system, a graphical user interface, wherein the set of instructions encoded on the non-transitory computer-readable storage medium include the steps of analyzing data collected by the data collection component, analyzing, in real-time, gaps in patient care, and providing predictive activity suggestions, and a neural network that machine learns from data to provide the predictive activity suggestions.