Method and system for improving care determination
AssigneeOrangeDot, Inc.
InventorsSai Moturu, Anmol Madan
Life of this patent
Estimating the term…
Abstract
Embodiments of a method and system for improving care determination for care providers in relation to a condition of a user associated with a mobile device can include: collecting a log of use dataset associated with user digital communication behavior at the mobile device; collecting a mobility supplementary dataset corresponding to a mobility-related sensor of the mobile device; determining a medical status analysis for a condition of the user based on at least one of the log of use dataset and the mobility supplementary dataset, the medical status analysis including at least one of a diagnosis and a therapeutic intervention associated with the condition; and promoting the at least one of the diagnosis and the therapeutic intervention to a care provider.
Claims20
A method for improving care determination in relation to a condition of a user associated with a user device, the method comprising:
- collecting, from the user device, a dataset associated with user behavior during a time period;
- generating, from the dataset, features associated with the time period based on a feature engineering rule that generates features from log of use data of the dataset from the user device;
- with a machine learning model trained to provide personalized care status analyses for improving care support, determining a care status analysis of the user for the condition of the user based on the features extracted from the dataset, wherein the care status analysis comprises a therapeutic intervention operable for improving the condition;
- providing the care status analysis of the user to a care professional device;
- at the care professional device, displaying information identifying the care status analysis of the user, wherein the displayed information is used to administer the therapeutic intervention;
- based on the displayed information, automatically providing the therapeutic intervention to the user;
- and
- iteratively refining the machine learning model with reward maximization based upon a confidence value provided by a care provider associated with the therapeutic intervention, thereby improving efficiency of administration of therapeutic interventions based upon outputs of the machine learning model to additional users.
A method for improving care determination in relation to a mental health condition of a user associated with a user device, the method comprising:
- collecting, from the user device, a dataset associated with user behavior at the user device;
- with a machine learning model trained to provide personalized care status analyses for improving care support, determining a status analysis for the user based on the dataset, the status analysis comprising a diagnosis and a therapeutic intervention associated with the mental health condition of the user;
- promoting the diagnosis and the therapeutic intervention from the status analysis for improving the care determination by communicating with a care provider device of a care provider of the user;
- collecting a care provider dataset from the care provider device, wherein the care provider dataset is associated with the status analysis;
- updating the status analysis for the mental health condition of the user based on the care provider dataset;
- administering at least one therapeutic intervention to the user based on the updated status analysis, the at least one therapeutic intervention operable to improve the condition of the user, wherein the at least one therapeutic intervention comprises a cognitive behavioral therapy exercise delivered to the user through the user device, in response to severity of the mental health condition of the user exceeding a threshold, based upon the updated status analysis;
- and
- iteratively refining the machine learning model with reward maximization based upon a confidence value provided by the care provider in relation to the at least one therapeutic intervention, thereby improving efficiency of administration of therapeutic interventions based upon outputs of the machine learning model to additional users.
Dependencies are inferred from the claim text.