Method and system for improving care determination

• US 10,014,077 B2
• Filed: 11/18/2017
• Issued: 07/03/2018
• Est. Priority Date: 08/16/2012
• Status: Active Grant

• Current Assignee: OrangeDot, Inc.
• Original Assignee: Ginger.io, Inc. (OrangeDot, Inc.)
• Inventors: Moturu, Sai, Madan, Anmol
• Primary Examiner(s): Tomaszewski, Michael
• Application Number:
  US15/817,182
• Publication Number:
  US 20180096740A1
• Time in Patent Office: 227 Days
• Field of Search: None
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 40/20 for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

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.

Claims

1. A method for improving medical status analysis determination in relation to a user condition of a user associated with a mobile device, the method comprising:

receiving a log of use dataset associated with the user at a mobile application of the mobile device;

receiving a mobility sensor supplementary dataset corresponding to a mobility-related sensor of the mobile device, the mobility sensor supplementary dataset associated with a mobility behavior for the user;

extracting, based on the log of use dataset and the mobility sensor supplementary dataset, a set of medical status features associated with the mobility behavior for the user, wherein the set of medical status features is operable to improve data processing by a processing system for facilitating improved medical status analysis determination;

determining a personalized medical status analysis for the user from a first medical status analysis and a second medical status analysis based on the set of medical status features, wherein the first medical status analysis is configured to be selected based on the set of medical status features indicating a first user characteristic associated with the mobility behavior, and wherein the second medical status analysis is configured to be selected based on the set of medical status features indicating a second user characteristic associated with the mobility behavior;

automatically storing, at a remote computing system, the personalized medical status analysis with a user identifier identifying the user; and

transmitting the personalized medical status analysis to a care provider associated with the user, wherein the personalized medical status analysis is operable to improve care provision associated with the user condition.

2. The method of claim 1, further comprising:

determining a selected a patient subgroup for the user from a first subgroup and a second subgroup based on the mobility sensor supplementary dataset, wherein the first subgroup is configured to be selected based on the mobility sensor supplementary dataset indicating a first mobility behavior shared by the first subgroup, and wherein the second subgroup is configured to be selected based on the mobility sensor supplementary dataset indicating a second mobility behavior shared by the second subgroup;

retrieving a medical status model associated with the selected patient subgroup, wherein determining the personalized medical status analysis comprises determining the personalized medical status analysis based on the medical status model and the set of medical status features.

3. The method of claim 1,

wherein the mobility-related sensor comprises a GPS receiver operable to collect GPS satellite data during the time period,

wherein extracting the set of medical status features comprises, extracting, at a remote central processing unit (CPU), the set of medical status features based on the GPS satellite data and the log of use dataset, wherein the medical status features are operable to improve determination of the personalized medical status analysis by the remote CPU, and wherein the personalized medical status analysis is associated with the location of the GPS receiver during the time period, and

wherein transmitting the personalized medical status analysis comprises presenting the personalized medical status analysis to the care provider at a care provider mobile device.

4. The method of claim 1, wherein determining the personalized medical status analysis comprises determining a set of medication parameters comprising at least one of a medication type, origin, dosage, instructions, interactions, and predicted results, for a medication intervention for the user condition of the user, and wherein transmitting the personalized medical status analysis comprises transmitting the set of medication parameters to the care provider.

5. The method of claim 4, further comprising:

facilitating provision of the medication intervention to the user through an automated medication system, based on the personalized medical status analysis and a set of care provider inputs associated with the personalized medical status analysis.

6. The method of claim 1, wherein transmitting the personalized medical status analysis comprises presenting the personalized medical status analysis at a care provider interface for a care provider device, and wherein the method further comprises:

after transmitting the personalized medical status analysis to the care provider, collecting, at the care provider interface, a care provider input associated with the personalized medical status; and

updating the medical status analysis based on the care provider input.

7. The method of claim 6, wherein collecting the care provider input comprises collecting a care status for modifying care of the user to a different level of care based on the personalized medical status analysis, and wherein the method further comprises transmitting the updated medical status analysis to an additional care provider based on the care status.

8. The method of claim 1, wherein determining the personalized medical status analysis comprises determining a therapy recommendation for improving the user condition comprising at least one of a cardiovascular-related condition, a pain-related condition, a sleep-related condition, a communication-related condition, and a mental condition, and transmitting the personalized medical status analysis comprises transmitting the therapy recommendation to the care provider.

9. The method of claim 1, wherein determining the personalized medical status analysis comprises determining an emotion-related issue for the user based on the set of medical status features, and wherein transmitting the personalized medical status analysis comprises transmitting the emotion-related issue to the care provider.

10. A method for improving medical status analysis determination in relation to a user condition of a user associated with a mobile device, the method comprising:

receiving a log of use dataset associated with the user at a mobile application of the mobile device;

receiving a mobility sensor supplementary dataset corresponding to a mobility-related sensor of the mobile device, the mobility sensor supplementary dataset associated with a mobility behavior for the user;

extracting a set of medical status features for the user based on the log of use dataset and the mobility sensor supplementary dataset;

retrieving a medical status model from a plurality of medical status models, the medical status model operable to improve data processing by a processing system for facilitating the improved medical status analysis determination;

determining a personalized medical status analysis for the user from a first medical status analysis and a second medical status analysis based on the set of medical status features and the medical status model, wherein the personalized medical status analysis comprises a medication intervention recommendation, wherein the first medical status analysis is configured to be selected based on the set of medical status features indicating a first user characteristic associated with the mobility behavior of the user, and wherein the second medical status analysis is configured to be selected based on the set of medical status features indicating a second user characteristic associated with the mobility behavior of the user; and

promoting the medication intervention recommendation to a care provider by way of transmitting the personalized medical status analysis to the care provider associated with the user, wherein the medication intervention recommendation is operable to improve care provision associated with the user condition.

11. The method of claim 10, wherein transmitting the personalized medical status analysis comprises transmitting the medication intervention recommendation to the care provider, and wherein the method further comprises:

collecting care provider inputs associated with the medication intervention recommendation; and

updating the medication intervention recommendation based on the care provider inputs.

12. The method of claim 10, wherein receiving the log of use dataset comprises accessing at least one of textual communications, audio communications, visual communications, a survey response dataset, and application usage associated with the mobile application of the mobile device, wherein extracting the set of medical status features comprises determining user symptoms based on the at least one of the survey response dataset, the textual communications, the audio communications, the visual communications, and the application usage, and wherein determining the personalized medical status analysis comprises determining the medication intervention recommendation based on the user symptoms.

13. The method of claim 10, further comprising:

wherein determining the personalized the medical status analysis comprises determining the medication intervention recommendation from a first therapy recommendation and a second therapy recommendation based on the medical status features.

14. The method of claim 10, wherein the personalized medical status analysis comprises at least one of:

user information associated with the user condition, user information associated with the medication intervention recommendation, a therapeutic intervention recommendation improving resource usage, a therapeutic intervention recommendation improving a relationship with the user, an initiation of communication with the user, and a therapeutic intervention recommendation associated with user interaction with an environment.

15. The method of claim 10, wherein determining the personalized medical status analysis comprises determining the medication intervention recommendation for a mental condition comprising at least one of a depression disorder, an anxiety disorder, a bipolar disorder, a psychotic disorder, and a mental health symptom, based on the medical status features.

16. The method of claim 10, further comprising:

after provision of a medication intervention corresponding to the medication intervention recommendation, collecting a subsequent log of use dataset associated with the user at the mobile application of the mobile device;

determining effectiveness of the medication intervention based on the subsequent log of use dataset; and

updating the medication intervention recommendation for the user based on the effectiveness of the medication intervention.

17. The method of claim 10, further comprising:

generating a therapy model based on medication intervention data associated with a subgroup of patients sharing a subgroup characteristic, wherein the medication intervention data describes at least one of medication intervention efficacy and medication intervention adherence,

wherein determining the personalized medical status analysis comprises;

matching the user to the subgroup based on a similarity between the subgroup characteristic and a user characteristic describing the user; and

determining the medication intervention recommendation for the user based on the therapy model and the set of medical status features.

18. The method of claim 10, wherein determining the personalized medical status analysis comprises modifying at least one of a content component, a reasoning component, and a format component for tailoring the personalized medical status analysis to the care provider based on a care provider type corresponding to the care provider.

19. The method of claim 10, wherein determining the personalized medical status analysis comprises determining a personalized medical status diagnosis from a first medical status diagnosis and a second medical diagnosis based on the set of medical status features, and wherein transmitting the personalized medical status analysis comprises transmitting the personalized medical status diagnosis to the care provider.