IP Library Granted Patent US 12,327,623
Granted Patent B2
US 12,327,623 · App. 17/147,642 · Granted Jun 10, 2025

System and method for processing medical claims

Inventors: Joseph Guaneri (Brookfield, CT); Daniel Posnack (Brookfield, CT); Peter Arn (Brookfield, CT); Wendy Para (Brookfield, CT); S. Adam Hacking (Brookfield, CT); Micheal Mueller (Brookfield, CT); Jonathan Greene (Brookfield, CT); Steven Mason (Brookfield, CT)
Assignee: ROM Technologies, Inc.
G16H20/30A63B24/0062G06Q10/10G16H10/60G16H40/20G16H40/67G16H50/70G16H70/20A63B2225/20G06Q40/08
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Quick Facts
Patent No.
US 12,327,623
App. No.
17/147,642
Granted
Jun 10, 2025
Kind
B2
Abstract

A computer-implemented system for processing medical claims is disclosed. The system includes a medical device configured to be manipulated by a user while the user performs a treatment plan; a patient interface associated with the medical device, the patient interface comprising an output configured to present telemedicine information associated with a telemedicine session; and a processor. During the telemedicine session, the processor is configured to receive information from a medical device. Using the device-generated information, the processor is further configured to determine device-based medical coding information. The processor is further configured to transmit the device-based medical coding information to a claim adjudication server.

Claims (50)

1. A computer-implemented system for processing medical claims, comprising:

an electromechanical device configured to be manipulated by a user while the user performs a treatment plan;

a patient interface associated with the electromechanical device and configured to present telemedicine information associated with a telemedicine session; and

one or more processors configured to:

generate one or more machine learning models trained to determine healthcare services provided during the telemedicine session based on device-generated information generated by the electromechanical device while the user performs the treatment plan;

determine, by using the one or more machine learning models and based on the device-generated information, device-based coding information; and

transmit the device-based coding information to a claim adjudication server,

wherein the one or more processors are further configured to generate the one or more machine learning models using training data comprising: historical device-generated information; historical device-based coding information; historical reviewed coding information; historical computer-based determinations on whether the historical reviewed coding information can be reconciled with the historical device-based coding information; and historical human-based determinations on whether the historical reviewed coding information has been reconciled with the historical device-based coding information.

2. The computer-implemented system of claim 1 , wherein the processor further transmits the device-based coding information to at least one of a data storage device and a computer-readable-storage medium.

3. The computer-implemented system of claim 1 , wherein, during an exercise session, the device-generated information is generated by the electromechanical device.

4. The computer-implemented system of claim 1 , wherein the processing of the claim occurs at least one of before, during, and after a healthcare service is rendered.

5. The computer-implemented system of claim 1 , wherein the device-generated information comprises at least one of medical result information and medical coding information.

6. The computer-implemented system of claim 1 , wherein, using the device-generated information, the processor is further configured to determine device-based exercise result information.

7. The computer-implemented system of claim 6 , wherein the processor is further configured to transmit the device-based exercise result information to a notes database.

8. The computer-implemented system of claim 1 , wherein the processor is further configured to transmit the device-based coding information to an electronic records database.

9. The computer-implemented system of claim 1 , wherein the processor is further configured to:

receive reviewed coding information from an electronic records database, wherein, using the reviewed coding information and the device-based coding information, the processor is further configured to determine a match indicator; and

transmit the match indicator to the claim adjudication server.

10. The computer-implemented system of claim 1 , wherein the electromechanical device comprises one of a treadmill, an electromechanical spin-wheel, an electromechanical bicycle, an exercise and rehabilitation device, a physical therapy device, or some combination thereof.

11. The computer-implemented system of claim 1 , wherein the healthcare services provided during the telemedicine session comprise exercises performed by the user on the electromechanical device during the telemedicine session.

12. The computer-implemented system of claim 1 , wherein the one or more machine learning models are further trained to determine, based on the telemedicine information, the healthcare services provided during the telemedicine session, wherein the healthcare services provided during the telemedicine session comprising actions performed by a healthcare provider during the telemedicine session, and wherein the processor is further configured to determine, by using the one or more machine learning models and based on the telemedicine information, the device-based coding information.

13. A system for processing medical claims, comprising:

an electromechanical device configured to generate device-generated information while a user performs a treatment plan with the electromechanical device;

a patient interface associated with the electromechanical device and configured to present telemedicine information associated with a telemedicine session;

one or more processors configured to:

generate one or more machine learning models trained to determine, based on the device-generated information, the exercises that are performed during the telemedicine session;

determine, by using the one or more machine learning models and based on the device-generated information, device-based coding information; and

transmit the device-based coding information to a claim adjuration adjudication server,

wherein the one or more processors are further configured to generate the one or more machine learning models using training data comprising: historical device-generated information; historical device-based coding information; historical reviewed coding information; historical computer-based determinations on whether the historical reviewed coding information can be reconciled with the historical device-based coding information; and historical human-based determinations on whether the historical reviewed coding information has been reconciled with the historical device-based coding information.

14. The system of claim 13 , wherein the processor transmits the device-based coding information to at least one of a data storage device and a computer-readable-storage medium.

15. The system of claim 13 , wherein the device-generated information is generated by the electromechanical device.

16. The system of claim 13 , wherein the processing of the claim occurs at least one of before, during, and after a healthcare service is rendered.

17. The system of claim 13 , wherein the device-generated information comprises at least one of medical result information and medical coding information.

18. The system of claim 13 , wherein, using the device-generated information, the processor is further configured to determine device-based exercise result information.

19. The system of claim 18 , wherein the processor is further configured to transmit the device-based exercise result information to a notes database.

20. The system of claim 13 , wherein the processor is further configured to transmit the device-based coding information to an electronic records database.

21. The system of claim 13 , wherein the processor is further configured to:

receive reviewed coding information from an electronic records database, wherein, using the reviewed coding information and the device-based coding information, the processor is further configured to determine a match indicator; and

transmit the match indicator to the claim adjudication server.

22. The system of claim 13 , wherein the electromechanical device comprises one of a treadmill, an electromechanical spin-wheel, an electromechanical bicycle, an exercise and rehabilitation device, a physical therapy device, or some combination thereof.

23. A method for operating a clinic server processing a claim for a service, comprising:

receiving device-generated information from an electromechanical device while a user performs a treatment plan with the electromechanical device;

presenting, with a patient interface associated the electromechanical device, telemedicine information associated with a telemedicine session;

generating, with one or more processors, one or more machine learning models trained to determine, based on the device-generated information, exercises that are performed during the telemedicine session;

determining, by using the one or more machine learning models and based on the device-generated information, device-based coding information; and

transmitting the device-based coding information to a claim adjudication server,

wherein generating the one or more machine learning models by the one or more processors includes generating the one or more machine learning models using training data comprising: historical device-generated information; historical device-based coding information; historical reviewed coding information; historical computer-based determinations on whether the historical reviewed coding information can be reconciled with the historical device-based coding information; and historical human-based determinations on whether the historical reviewed coding information has been reconciled with the historical device-based coding information.

24. The method of claim 23 , further comprising transmitting the device-based coding information to at least one of a data storage device and a computer-readable-storage medium.

25. The method of claim 23 , wherein processing the claim occurs at least one of before, during, and after the service is rendered.

26. The method of claim 23 , wherein the electromechanical device comprises one of a treadmill, an electromechanical spin-wheel, an electromechanical bicycle, an exercise and rehabilitation device, a physical therapy device, or some combination thereof.

Assignments (5)
CONFIDENTIALITY AND NONDISCLOSURE AGREEMENT (EMPLOYMENT AGREEMENT) Recorded Mar 31, 2025
From: MUELLER, MICHEAL
To: ROM TECHNOLOGIES, INC.
Reel/Frame 070690/0651 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 24, 2025
From: POSNACK, DANIEL; ARN, PETER; PARA, WENDY; HACKING, S. ADAM; MASON, STEVEN
To: ROM TECHNOLOGIES, INC.
Reel/Frame 070605/0632 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 24, 2025
From: GREENE, JONATHAN
To: ROM TECHNOLOGIES, INC.
Reel/Frame 070605/0730 →
CHANGE OF NAME Recorded Mar 21, 2025
From: ROM3 REHAB, LLC
To: ROM TECHNOLOGIES, INC.
Reel/Frame 070593/0205 →
CONFIDENTIALITY AND NONDISCLOSURE AGREEMENT (EMPLOYMENT AGREEMENT) Recorded Mar 21, 2025
From: GUANERI, JOSEPH
To: ROM TECHNOLOGIES, INC.
Reel/Frame 070746/0417 →
Continuity (4)
Continuation In Part 17021895 · Sep 15, 2020
Provisional Application 63028392 · May 21, 2020
Provisional Application 62910232 · Oct 3, 2019
Related Publication 20210142893A1 · May 13, 2021
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