AI Medical Care Coordination Patent, 24 Claims
Summary
The USPTO granted patent US12592299B2 to Care Coordination Systems, LLC on March 31, 2026, covering an AI system for coordinating medical care with 24 claims. The patent describes a system including a hub computing device, data collection for patient and provider information, a graphical user interface for real-time gap analysis, and a neural network providing predictive suggestions. Patent grants establish enforceable intellectual property rights.
What changed
The USPTO granted patent US12592299B2 for an AI-based medical care coordination system to Care Coordination Systems, LLC. The patent covers a system including a hub computing device, data collection component for patient/provider information, a graphical user interface for analyzing care gaps in real-time, and a neural network for machine learning-based predictive activity suggestions.
Healthcare technology companies developing AI care coordination solutions should monitor this patent landscape, as it may affect their ability to operate in this space. Patent grants establish intellectual property rights that allow the assignee to enforce exclusive rights against potential infringers.
Archived snapshot
Apr 18, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
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.
CPC Classifications
G16H 50/20 G16H 50/30 G16H 80/00 G16H 50/50 G16H 20/00
Filing Date
2023-12-29
Application No.
18400093
Claims
24
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