IP Library Granted Patent US 11,955,218
Granted Patent B2
US 11,955,218 · App. 17/379,827 · Granted Apr 9, 2024

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

Inventors: Steven Mason (Las Vegas, NV); Daniel Posnack (Fort Lauderdale, FL); Peter Arn (Roxbury, CT); Wendy Para (Las Vegas, NV); S. Adam Hacking (Nashua, NH); Micheal Mueller (Oil City, PA); Joseph Guaneri (Merrick, NY); Jonathan Greene (Denver, CO)
Assignee: ROM Technologies, Inc.
G16H20/30A63B24/0062A63B71/0622G16H10/60G16H40/67G16H50/20G16H50/30G16H50/70G16H80/00A63B2022/0094A63B22/0605A63B2024/0081A63B2071/0625A63B2071/0655A63B2225/20G06F3/1454
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Quick Facts
Patent No.
US 11,955,218
App. No.
17/379,827
Granted
Apr 9, 2024
Kind
B2
Abstract

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.

Claims (49)

1. A computer-implemented system, comprising:

a treatment apparatus configured to be manipulated by a user while the user performs an exercise session;

a server computing device for configuring a virtual shared session, wherein the server computing device is configured to:

determine whether at least one characteristic of the user matches at least one second characteristic 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; and

responsive to transmitting a signal to patient interfaces of users in the cohort, establish 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 at least one characteristic of the user and the at least one second characteristic of the second user pertains 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:

determining whether at least one characteristic of the user matches at least one second characteristic 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, assigning 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 patient interfaces of users in the cohort, establishing the virtual shared session between the patient interfaces; and

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.

10. The computer-implemented method of claim 9 , wherein the patient interfaces 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 at least one characteristic of the first user and the at least one second characteristic of the second user pertains 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 , 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.

16. A non-transitory, computer-readable medium storing instructions that, when executed, cause a processing device to:

determine whether at least one characteristic of a user matches at least one second characteristic 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 patient interfaces of users in the cohort, establish the virtual shared session between the patient interfaces; and

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.

17. The computer-readable medium of claim 16 , wherein the patient interfaces of users in the cohort comprise at least a computing device of the first user and a computing device of the second user.

18. The computer-readable medium of claim 16 , 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.

19. The computer-readable medium of claim 16 , 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.

Assignments (5)
CONFIDENTIALITY AND NONDISCLOSURE AGREEMENT (EMPLOYMENT AGREEMENT) Recorded Nov 14, 2025
From: GUANERI, JOSEPH
To: ROM3 REHAB, LLC
Reel/Frame 073564/0268 →
CONFIDENTIALITY AND NONDISCLOSURE AGREEMENT (EMPLOYMENT AGREEMENT) Recorded Nov 14, 2025
From: MUELLER, MICHEAL
To: ROM TECHNOLOGIES, INC.
Reel/Frame 073564/0281 →
CHANGE OF NAME Recorded Nov 14, 2025
From: ROM3 REHAB, LLC
To: ROM TECHNOLOGIES, INC.
Reel/Frame 073574/0180 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 13, 2025
From: GREENE, JONATHAN
To: ROM TECHNOLOGIES, INC.
Reel/Frame 072898/0890 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 12, 2025
From: MASON, STEVEN; POSNACK, DANIEL; ARN, PETER; PARA, WENDY; HACKING, S. ADAM
To: ROM TECHNOLOGIES, INC.
Reel/Frame 072883/0273 →
Continuity (4)
Continuation 17147990 · Jan 13, 2021
Continuation In Part 17021895 · Sep 15, 2020
Provisional Application 62910232 · Oct 3, 2019
Related Publication 20210350899A1 · Nov 11, 2021