IP Library Granted Patent US 11,955,222
Granted Patent B2
US 11,955,222 · App. 18/200,094 · Granted Apr 9, 2024

System and method for determining, based on advanced metrics of actual performance of an electromechanical machine, medical procedure eligibility in order to ascertain survivability rates and measures of quality-of-life criteria

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 11,955,222
App. No.
18/200,094
Granted
Apr 9, 2024
Kind
B2
Abstract

A computer-implemented system includes one or more processing devices configured to receive user information associated with a user, generate a selected set of the user information, determine, based on the selected set of the user information, at least one of a first probability of surviving one or more procedures and a second probability indicating an improvement, resulting from the one or more procedures, in quality-of-life metrics for the user, generate, based on the at least one of the first probability and the second probability and on the selected set of the user information, one or more recommendations of whether the user should undergo the one or more procedures, and generate, based on the one or more recommendations, a treatment plan that includes one or more exercises directed to modifying the at least one of the first probability and the second probability.

Claims (40)

1. A computer-implemented system for controlling a treatment apparatus, the computer-implemented system comprising:

one or more processing devices that:

receive user information associated with a user,

generate a selected set of the user information,

determine, based on the selected set of the user information, at least one of (i) a first probability of surviving one or more procedures and (ii) a second probability indicating an improvement in quality-of-life metrics for the user, wherein the improvement results from the one or more procedures,

generate, based on the at least one of the first probability and the second probability and on the selected set of the user information, one or more recommendations of whether the user should undergo the one or more procedures, and

generate, based on the one or more recommendations, a treatment plan that includes one or more exercises directed to modifying the at least one of the first probability and the second probability; and

a treatment apparatus that implements the one or more exercises of the treatment plan while the treatment apparatus is being manipulated by the user, wherein, to implement the one or more exercises of the treatment plan directed to modifying the at least one of the first probability and the second probability, the treatment apparatus includes an electromechanical machine controlled, responsive to the one or more processing devices, by the computer-implemented system.

2. The computer-implemented system of claim 1 , wherein the user information includes at least one of personal information, performance information, and measurement information.

3. The computer-implemented system of claim 1 , wherein the one or more processing devices execute a user information model, and wherein, to generate the selected set of the user information, the user information model at least one of assigns weights to the user information, ranks the user information, and filters the user information.

4. The computer-implemented system of claim 3 , wherein the one or more processing devices execute a survivability and probability model, wherein the survivability and probability model determines the at least one of the first probability and the second probability.

5. The computer-implemented system of claim 3 , wherein the one or more processing devices execute a procedure recommendation model, wherein the procedure recommendation model generates the one or more recommendations.

6. The computer-implemented system of claim 5 , wherein a probability is associated with each of the one or more recommendations.

7. The computer-implemented system of claim 3 , wherein the one or more processing devices execute a treatment plan model, wherein the treatment plan model generates the treatment plan to modify the at least one of the first probability and the second probability.

8. The computer-implemented system of claim 1 , wherein the one or more processing devices generate the one or more recommendations based on both the first probability and the second probability.

9. The computer-implemented system of claim 8 , wherein the one or more processing devices generate the one or more recommendations further based on a comparison between: (i) the second probability; and (ii) a third probability indicating an improvement, without the user undergoing the one or more procedures, in the quality-of-life metrics for the user.

10. The computer-implemented system of claim 8 , wherein the one or more processing devices generate the one or more recommendations based on (i) a comparison between the first probability and a first threshold and (ii) a comparison between the second probability and a second threshold.

11. The computer-implemented system of claim 1 , wherein, subsequent to implementing the treatment plan using the treatment apparatus, the one or more processing devices modify the treatment plan based on the one or more recommendations.

12. The computer-implemented system of claim 11 , wherein the one or more processing devices transmit the modified treatment plan to cause the treatment apparatus to implement at least one modified exercise of the modified treatment plan.

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

14. A method for controlling a treatment apparatus using a computer-implemented system, the method comprising:

using one or more processing devices,

receiving user information associated with a user,

generating a selected set of the user information,

determining, based on the selected set of the user information, at least one of (i) a first probability of surviving one or more procedures and (ii) a second probability indicating an improvement in quality-of-life metrics for the user, wherein the improvement results from the one or more procedures,

generating, based on the at least one of the first probability and the second probability and on the selected set of the user information, one or more recommendations of whether the user should undergo the one or more procedures, and

generating, based on the one or more recommendations, a treatment plan that includes one or more exercises directed to modifying the at least one of the first probability and the second probability; and

implementing the one or more exercises of the treatment plan using a treatment apparatus while the treatment apparatus is being manipulated by the user, wherein using the treatment apparatus includes controlling, by the computer-implemented system, an electromechanical machine to implement the one or more exercises directed to modifying the at least one of the first probability and the second probability.

15. The method of claim 14 , wherein the user information includes at least one of personal information, performance information, and measurement information.

16. The method of claim 14 , further comprising executing a user information model, wherein generating the selected set of the user information includes using the user information model to at least one of assign weights to the user information, rank the user information, and filter the user information.

17. The method of claim 16 , further comprising executing a survivability and probability model to determine the at least one of the first probability and the second probability.

18. The method of claim 16 , further comprising executing a procedure recommendation model to generate the one or more recommendations.

19. The method of claim 18 , wherein a probability is associated with each of the one or more recommendations.

20. The method of claim 16 , further comprising executing a treatment plan model to modify the at least one of the first probability and the second probability.

21. The method of claim 14 , further comprising generating the one or more recommendations based on both the first probability and the second probability.

22. The method of claim 21 , further comprising generating the one or more recommendations further based on a comparison between: (i) the second probability; and (ii) a third probability indicating an improvement, without the user undergoing the one or more procedures, in the quality-of-life metrics for the user.

23. The method of claim 21 , further comprising generating the one or more recommendations based on (i) a comparison between the first probability and a first threshold and (ii) a comparison between the second probability and a second threshold.

24. The method of claim 14 , further comprising, subsequent to implementing the treatment plan using the treatment apparatus, modifying the treatment plan based on the one or more recommendations.

25. The method of claim 24 , further comprising transmitting the modified treatment plan to cause the treatment apparatus to implement at least one modified exercise of the modified treatment plan.

26. The method of claim 14 , further comprising, while the user performs the treatment plan, initiating a telemedicine session between a computing device of the user and a computing device of a healthcare professional.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 10, 2023
From: ROSENBERG, JOEL, DR.; MASON, STEVEN
To: ROM TECHNOLOGIES, INC.
Reel/Frame 064201/0145 →
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 20230298727A1 · Sep 21, 2023