System and method for use of telemedicine-enabled rehabilitative hardware and for encouraging rehabilitative compliance through patient-based virtual shared sessions with patient-enabled mutual encouragement across simulated social networks
In one embodiment, a computer-implemented system includes a treatment apparatus configured to be manipulated by a user while performing an exercise session, patient interfaces associated with users, and a server computing device configured to receive treatment data pertaining to the user, determine whether at least one characteristic of the user matches at least one second characteristic of a second user, where the second user belonging to a cohort. Responsive to determining the at least one characteristic of the user matches the at least one second characteristic of the second user, the server computing device is configured to assign the user to the cohort and select, via a trained machine learning model, a treatment plan for the user. Responsive to transmitting a signal to the patient interfaces of users in the cohort, the server computing device enables the patient interfaces to establish the virtual shared session between the patient interfaces.
1. A computer-implemented system, comprising:
a treatment apparatus configured to be manipulated by a user while the user performs an exercise session;
patient interfaces associated with users; and
a server computing device for configuring a virtual shared treatment session to encourage user compliance with a treatment plan associated with the exercise session, wherein the server computing device is configured to:
receive treatment data pertaining to the user, wherein the treatment data comprises one or more characteristics of the user;
determine whether at least one characteristic of the one or more characteristics of the user matches at least one second characteristic of one or more second characteristics of a second user, the second user belonging to a cohort;
responsive to determining the at least one characteristic of the user matches the at least one second characteristic of the second user, assign the user to the cohort and select, via a trained machine learning model, a treatment plan for the user;
responsive to transmitting a signal to the patient interfaces of users in the cohort, enable the patient interfaces to establish the virtual shared session between the patient interfaces; and
enable the virtual shared session between the patient interfaces.
2. The computer-implemented system of claim 1 , wherein the patient interfaces in the cohort comprise at least a patient interface of the user and a patient interface of the second user.
3. The computer-implemented system of claim 1 , wherein the user is a patient and the second user is a patient, or the user is a patient and the second user is a healthcare professional.
4. The computer-implemented system of claim 1 , wherein the user is assigned to a plurality of cohorts and presented with a plurality of virtual shared sessions, wherein the server computing device is further to:
receive, from a computing device, a selection of one virtual shared session out of the plurality of virtual shared sessions; and
establish the selected one of the plurality of virtual shared sessions.
5. The computer-implemented system of claim 4 , wherein the server computing device is further to:
receive, from a patient interface of the user, a request to exit the selected one of the plurality of virtual shared sessions;
terminate, on the patient interface, the selected one of the plurality of virtual shared sessions;
cause the plurality of virtual shared sessions to be presented on the patient interface;
receive a selection of a different virtual shared session out of the plurality of virtual shared sessions; and
establish the selected different virtual shared session.
6. The computer-implemented system of claim 1 , wherein the one or more characteristics of the user and the one or more second characteristics of the second user pertain to a performance rating, a fitness rating, a rehabilitation rating, a prehabilitation rating, an exercise rating, an athleticism rating, a competition level rating, a credit rating, a personality assessment, a personality inventory, or some combination thereof.
7. The computer-implemented system of claim 1 , wherein, while the first user uses the treatment apparatus and a second user uses a second treatment apparatus, the server computing device is further to control, based on the treatment plan and during the virtual shared session, the treatment apparatus and the second treatment apparatus.
8. The computer-implemented method of claim 1 , wherein the virtual shared session enables communication between the patient interfaces of the users in the cohort, wherein the communication comprises video, audio, haptic feedback, text, biometric data, multimedia, gestures, or some combination thereof.
9. A computer-implemented method for configuring a virtual shared treatment session to encourage a user compliance with a treatment plan, the method comprising:
receiving treatment data pertaining to the user, wherein the treatment data comprises one or more characteristics of the user;
determining whether at least one characteristic of the one or more characteristics of the user matches at least one second characteristic of one or more second characteristics of a second user, the second user belonging to a cohort;
responsive to determining the at least one characteristic of the first user matches the at least one second characteristic of the second user, assigning the first user to the cohort and selecting, via a trained machine learning model, a treatment plan for the first user;
responsive to transmitting a signal to computing devices of users in the cohort, enabling the computing devices to establish the virtual shared session between the computing devices; and
enabling the virtual shared session between the computing devices of the users in the cohort.
10. The computer-implemented method of claim 9 , wherein the computing devices of users in the cohort comprise at least a computing device of the first user and a computing device of the second user.
11. The computer-implemented method of claim 9 , wherein the first user is a patient and the second user is a patient, or the first user is a patient and the second user is a healthcare professional.
12. The computer-implemented method of claim 9 , wherein the first user is assigned to a plurality of cohorts and presented with a plurality of virtual shared sessions, wherein the method further comprises:
receiving, from a computing device, a selection of one virtual shared session out of the plurality of virtual shared sessions; and
establishing the selected one of the plurality of virtual shared sessions.
13. The computer-implemented method of claim 12 , further comprising:
receiving, from the computing device, a request to exit the selected one of the plurality of virtual shared sessions;
terminating, on the computing device, the selected one of the plurality of virtual shared sessions;
causing the plurality of virtual shared sessions to be presented on the computing device;
receiving a selection of a different virtual shared session out of the plurality of virtual shared sessions; and
establishing the selected different virtual shared session.
14. The computer-implemented method of claim 9 , wherein the one or more characteristics of the first user and the one or more second characteristics of the second user pertain to a performance rating, a fitness rating, a rehabilitation rating, a prehabilitation rating, an exercise rating, an athleticism rating, a competition level rating, a credit rating, a personality assessment, a personality inventory, or some combination thereof.
15. The computer-implemented method of claim 9 , further comprising, while the first user uses a first treatment apparatus and a second user uses a second treatment apparatus, controlling, based on the treatment plan and during the virtual shared session, the first treatment apparatus and the second treatment apparatus.
16. The computer-implemented method of claim 9 , wherein the virtual shared session enables communication between the computing devices of the users in the cohort, wherein the communication comprises video, audio, haptic feedback, text, biometric data, multimedia, gestures, or some combination thereof.
17. A non-transitory, computer-readable medium storing instructions that, when executed, cause a processing device to:
receive treatment data pertaining to the user, wherein the treatment data comprises one or more characteristics of the user;
determine whether at least one characteristic of the one or more characteristics of the user matches at least one second characteristic of one or more second characteristics of a second user, the second user belonging to a cohort;
responsive to determining the at least one characteristic of the first user matches the at least one second characteristic of the second user, assign the first user to the cohort and selecting, via a trained machine learning model, a treatment plan for the first user;
responsive to transmitting a signal to computing devices of users in the cohort, enable the computing devices to establish the virtual shared session between the computing devices; and
enable the virtual shared session between the computing devices of the users in the cohort.
18. The computer-readable medium of claim 17 , wherein the computing devices of users in the cohort comprise at least a computing device of the first user and a computing device of the second user.
19. The computer-readable medium of claim 17 , wherein the first user is a patient and the second user is a patient, or the first user is a patient and the second user is a healthcare professional.
20. The computer-readable medium of claim 17 , wherein the first user is assigned to a plurality of cohorts and presented with a plurality of virtual shared sessions, wherein processing device is further to:
receive, from a computing device, a selection of one virtual shared session out of the plurality of virtual shared sessions; and
establish the selected one of the plurality of virtual shared sessions.
21. The computer-readable medium of claim 20 , wherein the processing device is further to:
receive, from the computing device, a request to exit the selected one of the plurality of virtual shared sessions;
terminate, on the computing device, the selected one of the plurality of virtual shared sessions;
cause the plurality of virtual shared sessions to be presented on the computing device;
receive a selection of a different virtual shared session out of the plurality of virtual shared sessions; and
establish the selected different virtual shared session.
22. The computer-readable medium of claim 17 , wherein the one or more characteristics of the first user and the one or more second characteristics of the second user pertain to a performance rating, a fitness rating, a rehabilitation rating, a prehabilitation rating, an exercise rating, an athleticism rating, a competition level rating, a credit rating, a personality assessment, a personality inventory, or some combination thereof.
23. The computer-readable medium of claim 17 , wherein the processing device is further to, while the first user uses a first treatment apparatus and a second user uses a second treatment apparatus, control, based on the treatment plan and during the virtual shared session, the first treatment apparatus and the second treatment apparatus.
24. The computer-readable medium of claim 17 , wherein the virtual shared session enables communication between the computing devices of the users in the cohort, wherein the communication comprises video, audio, haptic feedback, text, biometric data, multimedia, gestures, or some combination thereof.
25. A system comprising:
a memory device storing instructions;
a processing device communicatively coupled to the memory device, the processing device executes the instructions to:
receive treatment data pertaining to the user, wherein the treatment data comprises one or more characteristics of the user;
determine whether at least one characteristic of the one or more characteristics of the user matches at least one second characteristic of one or more second characteristics of a second user, the second user belonging to a cohort;
responsive to determining the at least one characteristic of the first user matches the at least one second characteristic of the second user, assign the first user to the cohort and selecting, via a trained machine learning model, a treatment plan for the first user;
responsive to transmitting a signal to computing devices of users in the cohort, enable the computing devices to establish the virtual shared session between the computing devices; and
enable the virtual shared session between the computing devices of the users in the cohort.
26. The system of claim 25 , wherein the computing devices of users in the cohort comprise at least a computing device of the first user and a computing device of the second user.
27. The system of claim 25 , wherein the first user is a patient and the second user is a patient, or the first user is a patient and the second user is a healthcare professional.
28. The system of claim 25 , wherein the first user is assigned to a plurality of cohorts and presented with a plurality of virtual shared sessions, wherein processing device is further to:
receive, from a computing device, a selection of one virtual shared session out of the plurality of virtual shared sessions; and
establish the selected one of the plurality of virtual shared sessions.
29. The system of claim 25 , wherein the processing device is further to, while the first user uses a first treatment apparatus and a second user uses a second treatment apparatus, control, based on the treatment plan and during the virtual shared session, the first treatment apparatus and the second treatment apparatus.
30. The system of claim 25 , wherein the virtual shared session enables communication between the computing devices of the users in the cohort, wherein the communication comprises video, audio, haptic feedback, text, biometric data, multimedia, or some combination thereof.