IP Library › Granted Patent US 12,224,052
Granted Patent B2
US 12,224,052 · App. 18/217,365 · Granted Feb 11, 2025

System and method for using AI, machine learning and telemedicine for long-term care via an electromechanical machine

Inventors: Joel Rosenberg (Brookfield, CT); Steven Mason (Las Vegas, NV)
Assignee: ROM Technologies, Inc.
G16H20/30A63B24/0062G16H50/30A63B2024/0065
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Quick Facts
Patent No.
US 12,224,052
App. No.
18/217,365
Granted
Feb 11, 2025
Kind
B2
Abstract

A computer-implemented system includes one or more processing devices configured to receive attribute data associated with a user, generate, based on the attribute data and a first health issue of the user, a selected set of the attribute data, the first health issue corresponding to a first long-term care health issue of the user, determine, based on the selected set of the attribute data, a first probability associated with treating the first health issue, generate, based on the first probability, a treatment plan that includes one or more exercises directed to modifying the first probability, and modify, based on at least one of the first probability and a second probability, the treatment plan. The second probability is associated with treating a second health issue of the user. A treatment apparatus is configured to implement the treatment plan while the treatment apparatus is being manipulated by the user.

Claims (49)

1. A computer-implemented system, comprising:

a treatment apparatus configured to implement the treatment plan while the treatment apparatus is being manipulated by the user; and

one or more processing devices configured to

receive attribute data associated with a user,

generate, based on the attribute data and a first health issue of the user, a selected set of the attribute data, wherein the first health issue corresponds to a first long-term care health issue of the user,

determine, based on the selected set of the attribute data, a first probability associated with treating the first health issue,

generate, based on the first probability, a treatment plan that includes one or more exercises directed to modifying the first probability, and

modify, based on at least one of the first probability and a second probability, the treatment plan, wherein the second probability is associated with treating a second health issue of the user;

control, based on the treatment plan, the treatment apparatus.

2. The computer-implemented system of claim 1 , wherein the attribute data includes data associated with at least one of the first health issue and the second health issue of the user.

3. The computer-implemented system of claim 1 , wherein the second health issue is one of a short-term health care issue and a second long-term health care issue different from the first long-term health care issue.

4. The computer-implemented system of claim 3 , wherein the first health issue is associated with an indefinite duration and the second health issue is associated with a definite or predetermined duration.

5. The computer-implemented system of claim 3 , wherein the second health issue is iatrogenic due to long-term care associated with the first health issue.

6. The computer-implemented system of claim 1 , wherein the one or more processing devices are configured to execute an attribute data model, and wherein, to generate the selected set of the attribute data, the attribute model is configured to at least one of assign weights to the attribute data, rank the attribute data, and filter the attribute data.

7. The computer-implemented system of claim 6 , wherein the one or more processing devices are configured to execute a probability model, wherein the probability model is configured to determine the first probability and the second probability.

8. The computer-implemented system of claim 6 , wherein the one or more processing devices are configured to execute a treatment plan model, wherein the treatment plan model is configured to generate the treatment plan to modify the first probability and the second probability.

9. The computer-implemented system of claim 1 , wherein the one or more processing devices are configured to transmit the modified treatment plan to cause the treatment apparatus to implement at least one modified exercise of the modified treatment plan.

10. The computer-implemented system of claim 1 , wherein, while the user performs the treatment plan, the one or more processing devices are configured to initiate a telemedicine session between a computing device of the user and a computing device of a healthcare professional.

11. The computer-implemented system of claim 1 , wherein the one or more processing devices are configured, based on the attribute data, to identify the second health issue.

12. The computer-implemented system of claim 11 , wherein the one or more processing devices are configured, in response to identifying the second health issue, to at least one of:

prompt the user to schedule an appointment with a healthcare professional;

automatically schedule an appointment with a healthcare professional;

prompt the healthcare professional to contact the user;

generate a recommendation to modify the treatment plan; and

modify the treatment plan.

13. A method, comprising:

using one or more processing devices,

receiving attribute data associated with a user,

generating, based on the attribute data and a first health issue of the user, a selected set of the attribute data, wherein the first health issue corresponds to a first long-term care health issue of the user,

determining, based on the selected set of the attribute data, a first probability associated with treating the first health issue,

generating, based on the first probability, a treatment plan that includes one or more exercises directed to modifying the first probability, and

modifying, based on at least one of the first probability and a second probability, the treatment plan, wherein the second probability is associated with treating a second health issue of the user; and

controlling a treatment apparatus, implementing the treatment plan while the treatment apparatus is being manipulated by the user.

14. The method of claim 13 , wherein the attribute data includes data associated with at least one of the first health issue and the second health issue of the user.

15. The method of claim 13 , wherein the second health issue is one of a short-term health care issue and a second long-term health care issue different from the first long-term health care issue.

16. The method of claim 15 , wherein the first health issue is associated with an indefinite duration and the second health issue is associated with a definite or predetermined duration.

17. The method of claim 15 , wherein the second health issue is iatrogenic due to long-term care associated with the first health issue.

18. The method of claim 13 , further comprising, using the one or more processing devices, executing an attribute data model, wherein generating the selected set of the attribute data includes at least one of assigning weights to the attribute data, ranking the attribute data, and filtering the attribute data.

19. The method of claim 18 , further comprising, using the one or more processing devices, executing a probability model, wherein the probability model is configured to determine the first probability and the second probability.

20. The method of claim 18 , further comprising, using the one or more processing devices, executing a treatment plan model, wherein the treatment plan model is configured to generate the treatment plan to modify the first probability and the second probability.

21. The method of claim 13 , further comprising, using the one or more processing devices, transmitting the modified treatment plan to cause the treatment apparatus to implement at least one modified exercise of the modified treatment plan.

22. The method of claim 13 , further comprising, while the user performs the treatment plan, using the one or more processing devices to initiate a telemedicine session between a computing device of the user and a computing device of a healthcare professional.

23. The method of claim 13 , further comprising, using the one or more processing devices, identifying the second health issue based on the attribute data.

24. The method of claim 23 , further comprising, using the one or more processing devices and in response to identifying the second health issue, at least one of:

prompting the user to schedule an appointment with a healthcare professional;

automatically scheduling an appointment with a healthcare professional;

prompting the healthcare professional to contact the user;

generating a recommendation to modify the treatment plan; and

modifying the treatment plan.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 16, 2023
From: ROSENBERG, JOEL, DR.; MASON, STEVEN
To: ROM TECHNOLOGIES, INC.
Reel/Frame 065584/0096 →
Continuity (8)
Continuation In Part 17736891 · May 4, 2022
Continuation In Part 17379542 · Jul 19, 2021
Continuation 17146705 · Jan 12, 2021
Continuation In Part 17021895 · Sep 15, 2020
Provisional Application 63113484 · Nov 13, 2020
Provisional Application 62910232 · Oct 3, 2019
Provisional Application 63407049 · Sep 15, 2022
Related Publication 20230360766A1 · Nov 9, 2023
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