SYSTEM FOR DISEASE MANAGEMENT THROUGH RECOMMENDATIONS BASED ON INFLUENCER CONCEPTS FOR BEHAVIOR CHANGE

• US 20170206337A1
• Filed: 01/19/2016
• Published: 07/20/2017
• Est. Priority Date: 01/19/2016
• Status: Abandoned Application

• Current Assignee: Conduent Business Services, LLC (Conduent, Inc.)
• Original Assignee: Conduent Business Services, LLC (Conduent, Inc.)
• Inventors: Echols, Jennie, Shepherd, Michael David, Stumbo, William K., Vandervort, David R., Braun, Karen M.
• Application Number:
  US15/000,529
• Publication Number:
  US 20170206337A1
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G16H 20/70 relating to mental therapies, e.g. psychological therapy or autogenous training
• 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

A system generates an automated survey and causes a user interface of an electronic device to present survey to a patient, so that the system can use the survey responses to identify and provide wellness or disease management content items that are tailored to the patient'"'"'s behavioral needs. The system automatically generates an electronic survey document with data entry fields that each correspond to a question for a category of behavioral influence. The document includes fillable fields as presented on a user interface. When the system receives data via the fillable fields as presented on the user interface of the electronic device, it will assign a value to each response, construct a patient model, and it will use the patient model to extract intervention content items and provide the patient with those items.

Claims

1. A method of selecting content for wellness or disease management and delivering the content to a patient, the method comprising:

by an electronic device having a processing device and a display device, executing programming instructions that cause the processing device to;

identify a medical condition of a patient;

automatically generate an electronic survey document comprising a set of data entry fields, in which each data entry field corresponds to a question that corresponds to a category of behavioral influence, and wherein each category corresponds to a domain of desired patient activity;

cause a user interface of the electronic device to use the display device to output the survey document to the patient;

receive, via the fillable fields as presented on the user interface of the electronic device, responses to each of the questions;

assign a value to each response;

for each of the categories, use the values of the responses to calculate a patient-specific measure of behavioral influence for each domain with which the category is associated;

automatically construct a patient model so that the model comprises the calculated patient-specific measures of behavioral influence for each domain and category;

use the model to determine one or more dominant categories of behavioral influence for the patient for each domain;

periodically access a database of intervention content and use the model to extract one or more intervention content items for the patient so that each extracted intervention content item is associated with the medical condition, a domain that relates to the medical condition, and a dominant measure of behavioral influence for the patient as determined from the model; and

output the extracted one or more intervention content items to the patient via a user interface.

2. The method of claim 1, wherein extracting the one or more intervention content items comprises using the model to rank a set of candidate content items and extracting candidate content items having a rank that exceeds a threshold.

3. The method of claim 1, wherein calculating the patient-specific measure of behavioral influence for each domain comprises using the assigned values for each response to assign a value to a plurality of facets of behavioral influence for the domain.

4. The method of claim 3, wherein automatically constructing the patient model for each category comprises:

saving the values of each facet of behavioral influence for each domain to an electronic file in a memory device; and

including in the model an assessment of the patient'"'"'s perceived severity level, or of the patient'"'"'s perceived susceptibility to disease or about having a complication.

5. The method of claim 1, wherein extracting the one or more intervention content items and outputting the extracted one or more intervention content items comprise:

selecting a first intervention content item associated with behavioral areas in the model for which the patient is relatively strong;

selecting a second intervention content item associated with behavioral areas in the model for which the patient is less strong; and

outputting both the first intervention content item and the second intervention content item to the patient.

6. The method of claim 1, wherein periodically extracting and outputting the one or more intervention content items comprises:

extracting a first content item;

presenting the first content item to the patient each time the patient accesses the user interface until the patient either selects the first content item for viewing, or fails to select the first content item for viewing after a threshold number of access events; and

after the patient either selects the first content item for viewing or fails to select the first content item for viewing after a threshold number of access events, then when the patient next accesses the user interface, extracting a second content item and presenting the second content item to the patient.

7. The method of claim 1, wherein periodically extracting and outputting the one or more intervention content items comprises extracting and outputting at least a first content item that is associated with positive aspects of the model and a second content item that is associated with one or more behavioral influences for which the patient needs improvement.

8. The method of claim 1, wherein periodically extracting the one or more intervention content items comprises:

selecting a primary category of behavioral influence from the dominant categories of behavioral influence;

assigning a first score to each intervention content item that matches the primary category, so that each intervention content item that matches the primary category has a common score value;

assigning a second score to each intervention content item that does not match the primary category, so that the intervention content items that do not match the primary category have various value and is assigned a score value that is less than the common score value;

comparing self-efficacy values for the patient against the score values assigned to each intervention content item and normalize the score values for each intervention content item based on the intervention content item'"'"'s distance from the self-efficacy values; and

using the normalized score values to identify the intervention content items that are extracted.

9. The method of claim 8, further comprising, before the comparing, increasing the score values for content that is associated with category for which the patient has at least a threshold self-efficacy value.

10. A system for selecting content for wellness or disease management and delivering the content to a patient, the system comprising:

a processing device;

a display device;

a database of intervention content; and

a non-transitory memory containing programming instructions that are configured to cause the processing device to;

identify a medical condition of a patient,

automatically generate an electronic survey document comprising a set of data entry fields, in which each data entry field corresponds to a question that corresponds to a category of behavioral influence, and wherein each category corresponds to a domain of desired patient activity,

cause the display device to output the survey document to the patient as at least a portion of a user interface,

receive, via the fillable fields as presented on the user interface, responses to each of the questions,

assign a value to each response,

for each of the categories, use the values of the responses to calculate a patient-specific measure of behavioral influence for each domain with which the category is associated,

automatically construct a patient model so that the model comprises the calculated patient-specific measures of behavioral influence for each domain and category,

use the model to determine one or more dominant categories of behavioral influence for the patient for each domain,

periodically access the database of intervention content and use the model to extract one or more intervention content items for the patient so that each extracted intervention content item is associated with the medical condition, a domain that relates to the medical condition, and a dominant measure of behavioral influence for the patient as determined from the model, and

cause the display device to output the extracted one or more intervention content items to the patient.

11. The system of claim 10, wherein the instructions to extract the one or more intervention content items are configured to cause the processing device to use the model to rank a set of candidate content items and extract candidate content items having a rank that exceeds a threshold.

12. The system of claim 10, wherein the instructions to calculate the patient-specific measure of behavioral influence for each domain comprise instructions that are configured to cause the processing device to use the assigned values for each response to assign a value to a plurality of facets of behavioral influence for the domain.

13. The system of claim 12, wherein the instructions to automatically construct the patient model for each category comprise instructions that are configured to cause the processing device to:

save the values of each facet of behavioral influence for each domain to an electronic file in a memory device; and

include in the model an assessment of the patient'"'"'s perceived severity level, or of the patient'"'"'s perceived susceptibility to disease or about having a complication.

14. The system of claim 10, wherein the instructions to extract the one or more intervention content items and output the extracted one or more intervention content items comprise instructions that are configured to cause the processing device to:

select a first intervention content item associated with behavioral areas in the model for which the patient is relatively strong;

select a second intervention content item associated with behavioral areas in the model for which the patient is less strong; and

output both the first intervention content item and the second intervention content item to the patient.

15. The system of claim 10, wherein the instructions to extract and output the one or more intervention content items comprise instructions that are configured to cause the processing device to:

extract a first intervention content item;

cause the display device to present the first intervention content item to the patient each time the patient accesses the user interface until the patient either selects the first content item for viewing, or fails to select the first intervention content item for viewing after a threshold number of access events; and

after the patient either selects the first intervention content item for viewing or fails to select the first content item for viewing after a threshold number of access events, then when the patient next accesses the user interface, extract a second intervention content item and present the second content item to the patient.

16. The system of claim 10, wherein the instructions to periodically extract and output the one or more intervention content items comprise instructions to extract and output at least a first content item that is associated with positive aspects of the model and a second content item that is associated with one or more behavioral influences for which the patient needs improvement.

17. The system of claim 10, wherein the instructions to periodically extract the one or more intervention content items comprise instructions that are configured to cause the processing device to:

select a primary category of behavioral influence from the dominant categories of behavioral influence;

assign a first score to each intervention content item that matches the primary category, so that each intervention content item that matches the primary category has a common score value;

assign a second score to each intervention content item that does not match the primary category, so that the intervention content items that do not match the primary category have various value and is assigned a score value that is less than the common score value;

compare self-efficacy values for the patient against the score values assigned to each intervention content item and normalize the score values for each intervention content item based on the intervention content item'"'"'s distance from the self-efficacy values; and

use the normalized score values to identify the intervention content items that are extracted.

18. The system of claim 17, further comprising instructions to, before the comparing, increase the score values for content that is associated with category for which the patient has at least a threshold self-efficacy value.

19. A system for selecting content for wellness or disease management and delivering the content to a patient, the system comprising:

a processing device;

a display device;

a database of intervention content; and

a non-transitory memory containing programming instructions that are configured to cause the processing device to;

identify a medical condition of a patient,

automatically generate an electronic survey document comprising a set of data entry fields, in which each data entry field corresponds to a question that corresponds to a category of behavioral influence, and wherein each category corresponds to a domain of desired patient activity;

cause the display device to output the survey document to the patient as at least a portion of a user interface,

receive, via the fillable fields as presented on the user interface, responses to each of the questions,

assign a value to each response,

for each of the categories, use the values of the responses to calculate a patient-specific measure of behavioral influence for each domain with which the category is associated,

automatically construct a patient model so that the model comprises the calculated patient-specific measures of behavioral influence for each domain and category,

use the model to determine one or more dominant categories of behavioral influence for the patient for each domain,

access the database of intervention content and use the model to extract a first intervention content item for the patient so that the extracted first intervention content item is associated with the medical condition, a domain that relates to the medical condition, and a dominant measure of behavioral influence for the patient as determined from the model,

cause the display device to output the extracted first intervention content item to the patient each time the patient accesses the user interface until the patient either selects the first content item for viewing, or fails to select the first intervention content item for viewing after a threshold number of access events, and

after the patient either selects the first intervention content item for viewing or fails to select the first content item for viewing after a threshold number of access events, then when the patient next accesses the user interface, extract a second content item and present the second content item to the patient.

20. The system of claim 19, wherein the instructions to extract the first intervention content item comprise instructions that are configured to cause the processing device to:

select a primary category of behavioral influence from the dominant categories of behavioral influence;

assign a first score to each intervention content item that matches the primary category, so that each intervention content item that matches the primary category has a common score value;

assign a second score to each intervention content item that does not match the primary category, so that the intervention content items that do not match the primary category have various value and is assigned a score value that is less than the common score value;

compare self-efficacy values for the patient against the score values assigned to each intervention content item and normalize the score values for each intervention content item based on the intervention content item'"'"'s distance from the self-efficacy values; and

use the normalized score values to identify first intervention content item.