TECHNIQUES FOR EXECUTING TRANSIENT CARE PLANS VIA AN INPUT/OUTPUT DEVICE

1 . A method for executing transient care plans for a user via an input/output device, comprising:

determining at least one transient care plan based on a care plan of a user received from a medical entity, a set of predefined health-related guidelines, and at least one user dataset captured by an input/output (I/O) device, wherein a transient care plan is a customized care plan for the user;

creating, based on the at least one transient care plan and the at least one user dataset, an estimated schedule, wherein the estimated schedule includes a plurality of rules for executing a portion of the at least one transient care plan; and

projecting at least one first plan via the I/O device, wherein the at least one first plan is identified from the at least one transient care plan based on the estimated schedule.

2 . The method of claim 1 , further comprising:

applying a machine learning model trained to determine a current state of the user based on a real-time user data and a real-time environment data in a predetermined proximity to the user, wherein the user is a user of the I/O device; and

modifying the estimated schedule based on the determined current state.

3 . The method of claim 2 , wherein the real-time user data and the real-time environment data are captured by at least one sensor of the I/O device.

4 . The method of claim 2 , further comprising:

receiving a response by the user to the at least one first plan;

storing the received response as a first feedback data and the current state of the user as a first state of the user in a memory; and

updating the estimated schedule based on the stored first feedback data and the first state of the user.

5 . The method of claim 4 , further comprising:

generating a compliance level of the user based on the stored first feedback data and the first state of the user; and

updating the estimated schedule based on the generated compliance level of the user.

6 . The method of claim 1 , further comprising:

projecting a portion of the estimated schedule via the I/O device;

storing a response by the user to the projected portion of the estimated schedule as a second feedback data in a memory; and

updating the estimated schedule based on the stored second feedback data of the user.

7 . The method of claim 1 , wherein the at least one user dataset is captured by the I/O device at least one of: continuously and periodically.

8 . The method of claim 1 , further comprising:

determining a first gap between the care plan of the user and the at least one transient care plan, wherein the first gap is at least one difference between the care plan and the at least one transient care plan.

9 . The method of claim 8 , further comprising:

generating a first electronic report based on the first gap; and

providing the first electronic report to a computing device that is associated with the medical entity.

10 . The method of claim 8 , further comprising:

updating the at least one transient care plan based on the determined first gap.

11 . The method of claim 1 , wherein creating the estimated schedule further comprises:

analyzing an electronic fulfillment report including a fulfillment level for each of a plurality of predefined goals of the digital assistant, wherein the fulfillment level indicates a degree of achievement.

12 . The method of claim 11 , further comprising:

integrating at least one second plan in the estimated schedule based on the fulfillment level for each of the plurality of predefined goals, wherein the at least one second plan increases the fulfillment level when executed.

13 . A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to execute a process, the process comprising:

determining at least one transient care plan based on a care plan of a user received from a medical entity, a set of predefined health-related guidelines, and at least one user dataset captured by an input/output (I/O) device, wherein a transient care plan is a customized care plan for the user;

creating, based on the at least one transient care plan and the at least one user dataset, an estimated schedule, wherein the estimated schedule includes a plurality of rules for executing a portion of the at least one transient care plan; and

projecting at least one first plan via the I/O device, wherein the at least one first plan is identified from the at least one transient care plan based on the estimated schedule.

14 . A system for executing transient care plans for a user via an input/output device, comprising:

a processing circuitry; and

a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to:

determine at least one transient care plan based on a care plan of a user received from a medical entity, a set of predefined health-related guidelines, and at least one user dataset captured by an input/output (I/O) device, wherein a transient care plan is a customized care plan for the user;

create, based on the at least one transient care plan and the at least one user dataset, an estimated schedule, wherein the estimated schedule includes a plurality of rules for executing a portion of the at least one transient care plan; and

project at least one first plan via the I/O device, wherein the at least one first plan is identified from the at least one transient care plan based on the estimated schedule.

15 . The system of claim 14 , wherein the system is further configured to:

apply a machine learning model trained to determine a current state of the user based on a real-time user data and a real-time environment data in a predetermined proximity to the user, wherein the user is a user of the I/O device; and

modify the estimated schedule based on the determined current state.

16 . The system of claim 15 , wherein the real-time user data and the real-time environment data are captured by at least one sensor of the I/O device.

17 . The system of claim 15 , wherein the system is further configured to:

receive a response by the user to the at least one first plan;

store the received response as a first feedback data and the current state of the user as a first state of the user in a memory; and

update the estimated schedule based on the stored first feedback data and the first state of the user.

18 . The system of claim 17 , wherein the system is further configured to:

generate a compliance level of the user based on the stored first feedback data and the first state of the user; and

update the estimated schedule based on the generated compliance level of the user.

19 . The system of claim 14 , wherein the system is further configured to:

project a portion of the estimated schedule via the I/O device;

store a response by the user to the projected portion of the estimated schedule as a second feedback data in a memory; and

update the estimated schedule based on the stored second feedback data of the user.

20 . The system of claim 14 , wherein the at least one user dataset is captured by the I/O device at least one of: continuously and periodically.

21 . The system of claim 14 , wherein the system is further configured to:

determine a first gap between the care plan of the user and the at least one transient care plan, wherein the first gap is at least one difference between the care plan and the at least one transient care plan.

22 . The system of claim 21 , wherein the system is further configured to:

generate a first electronic report based on the first gap; and

provide the first electronic report to a computing device that is associated with the medical entity.

23 . The system of claim 21 , wherein the system is further configured to:

update the at least one transient care plan based on the determined first gap.

24 . The system of claim 14 , wherein the system is further configured to:

analyze an electronic fulfillment report including a fulfillment level for each of a plurality of predefined goals of the digital assistant, wherein the fulfillment level indicates a degree of achievement.

25 . The system of claim 24 , wherein the system is further configured to:

integrate at least one second plan in the estimated schedule based on the fulfillment level for each of the plurality of predefined goals, wherein the at least one second plan increases the fulfillment level when executed.