Data-driven mental health programming patent application
Summary
The USPTO has published a new patent application, US20260088152A1, filed by Charlie Health, Inc. The application details methods and systems for data-driven mental health programming, including ingesting patient data into a knowledge graph, deriving patient archetypes, and assigning patients to therapists and treatment modalities based on this data.
What changed
This document is a publication of a patent application (US20260088152A1) filed by Charlie Health, Inc. The application describes a system for data-driven mental health programming. Key features include ingesting patient data into an enterprise knowledge graph, deriving patient archetypes, and using these archetypes along with patient attributes to assign patients to therapists and specific treatment modalities.
As this is a patent application, it does not impose direct regulatory obligations on healthcare providers or other entities. However, the technology described could influence future healthcare service delivery models and data management practices within the mental health sector. Compliance officers in health informatics and mental health services should be aware of this technological development as it may shape future industry standards and patient care approaches.
Archived snapshot
Mar 26, 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.
DATA-DRIVEN MENTAL HEALTH PROGRAMMING
Application US20260088152A1 Kind: A1 Mar 26, 2026
Assignee
Charlie Health, Inc
Inventors
CAROLINE FENKEL, JONATHAN KOHLMEIER, MARK MEGERIAN
Abstract
Methods and systems of data-driven mental health programming is provided. Embodiments ingesting (314) patient data (124) into an enterprise knowledge graph (128), wherein the patient data (124) comprises triples of nodes and relationships representing the data of the patients of the program; deriving (316) a set of patient archetypes (350) from the enterprise knowledge graph (128); assigning (318) a patient (102) to a patient archetype (350) in dependence upon patient attributes (306); assigning (320) the patient (102) to a therapist (386) in dependence upon the patient archetype (350), patient attributes (306), and therapist attributes; and assigning (322) the patient to a treatment modality in dependence upon patient archetypes and patient attributes.
CPC Classifications
G16H 20/70 G16H 80/00
Filing Date
2024-09-23
Application No.
18893904
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