MACRO-PERSONALIZATION ENGINE FOR A VIRTUAL CARE PLATFORM

1 . A computer-implemented method for personalizing a care program for a telehealth platform, the computer-implemented method comprising:

displaying a sequence of questions on a display of a user device, the sequence of questions including a plurality of personal needs questions and a plurality of questions associated with a clinical survey;

receiving responses from a user to each question in the sequence of questions via an input device of the user device;

storing the responses in a memory of the user device;

assigning a primary concern to the user based on a response to at least a first question in the sequence of questions; and

assigning a severity score to the user based on the responses to the clinical survey;

using a segmentation model to assign a recommended program to the user based on the primary concern and the severity score of the user; and

notifying the user of the recommended program.

2 . The computer-implemented method of claim 1 , wherein using the segmentation model comprises using a trained machine learning (ML) model.

3 . The computer-implemented method of claim 2 , further comprising training the ML model based on feedback from a health care provider.

4 . The computer-implemented method of claim 1 , wherein using the segmentation model comprises receiving health data from one or more health sensors.

5 . The computer-implemented method of claim 1 , further comprising:

displaying at least one interactive page on the user device that includes self-guided content associated with the recommended program.

6 . The computer-implemented method of claim 1 , further comprising:

displaying a prompt on the display that includes a selectable option to begin a communication session with a health care provider; and

in response to selection by the user of the selectable option, initiating the communication session with the health care provider.

7 . The computer-implemented method of claim 1 , further comprising:

displaying a prompt on the display that includes a selectable option to electronically schedule an in-office appointment with a health care provider; and

in response to selection by the user of the selectable option, electronically scheduling the in-office appointment with the health care provider.

8 . The computer-implemented method of claim 1 , wherein displaying the sequence of questions comprises:

ordering at least a portion of the sequence of questions based on a response to at least one earlier question in the sequence of questions.

9 . The computer-implemented method of claim 1 , further comprising:

computing a compliance score based on adherence by the user to the recommended program; and

prompting the user to schedule a communication session with a healthcare provider when the compliance score falls below a predetermined threshold.

10 . The computer-implemented method of claim 1 , further comprising:

prompting the user to begin a communication session with a healthcare provider responsive to the responses of the user to the clinical survey and prior to assigning the user the recommended program.

11 . A system for personalizing a care program for a telehealth platform, the system comprising:

a processor; and

a non-transitory computer-readable medium comprising program instructions that, when executed by the processor, cause the processor to:

display a sequence of questions on a display of a user device, the sequence of questions including a plurality of personal needs questions and a plurality of questions associated with a clinical survey;

receive responses from a user to each question in the sequence of questions via an input device of the user device;

store the responses in a memory of the user device;

assign a primary concern to the user based on a response to at least a first question in the sequence of questions;

assign a severity score to the user based on the responses to the clinical survey;

use a segmentation model to assign a recommended program to the user based on the primary concern and the severity score of the user; and

notify the user of the recommended program.

12 . The system of claim 11 , wherein the segmentation model uses a trained machine learning (ML) model.

13 . The system of claim 12 , further comprising a feedback system to train the ML model based on feedback from a health care provider.

14 . The system of claim 11 , further comprising:

a communication interface to receive health data from one or more health sensors, and wherein the segmentation model uses the health data from the one or more health sensors.

15 . The system of claim 11 , wherein the program instructions are to display at least one interactive page on the user device that includes self-guided content associated with the recommended program.

16 . The system of claim 11 , wherein the program instructions are to:

display a prompt on the display that includes a selectable option to begin a communication session with a health care provider; and

in response to selection by the user of the selectable option, initiate the communication session with the health care provider.

17 . The system of claim 11 , wherein the program instructions are to:

display a prompt on the display that includes a selectable option to electronically schedule an in-office appointment with a health care provider; and

in response to selection by the user of the selectable option, electronically scheduling the in-office appointment with the health care provider.

18 . The system of claim 11 , wherein the program instructions are to order at least a portion of the sequence of questions based on a response to at least one earlier question in the sequence of questions.

19 . The system of claim 11 , wherein the program instructions are to:

compute a compliance score based on adherence by the user to the recommended program; and

prompt the user to schedule a communication session with a healthcare provider when the compliance score falls below a predetermined threshold.

20 . The system of claim 11 , wherein the program instructions are to prompt the user to begin a communication session with a healthcare provider responsive to the responses of the user to the clinical survey and prior to assigning the user the recommended program.