IP Library Granted Patent US 11,295,848
Granted Patent B2
US 11,295,848 · App. 17/148,339 · Granted Apr 5, 2022

Method and system for using artificial intelligence and machine learning to create optimal treatment plans based on monetary value amount generated and/or patient outcome

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.
G16H20/30G06Q20/102G06Q40/02G16H80/00
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Quick Facts
Patent No.
US 11,295,848
App. No.
17/148,339
Granted
Apr 5, 2022
Kind
B2
Abstract

A computer-implemented system includes a treatment apparatus configured to be manipulated by a patient while performing a treatment plan, and a server computing device configured. The server computing device receives treatment plans that, when applied to patients, cause outcomes to be achieved by the patients, receives monetary value amounts associated with the treatment plans, where a respective monetary value amount of the monetary value amounts is associated with a respective treatment plan of the treatment plans. The server computing device receives constraints including rules pertaining to billing codes associated with the treatment plans. An artificial intelligence engine generates optimal treatment plans for a patient based on the treatment plans, the monetary value amounts, and the constraints, wherein each of the optimal treatment plans complies with the constraints and represents a patient outcome and an associated monetary value amount generated.

Claims (87)

1. A computer-implemented system, comprising:

a treatment apparatus configured to be manipulated by a patient while performing a treatment plan;

a server computing device configured to execute an artificial intelligence engine to generate treatment plans for optimizing patient outcome and monetary amount generated, wherein the server computing device:

receives a set of treatment plans that, when applied to patients, cause outcomes to be achieved by the patients;

receives a set of monetary value amounts associated with the set of treatment plans, wherein a respective monetary value amount comprising the set of monetary value amounts is associated with a respective treatment plan comprising the set of treatment plans;

receives a set of constraints, wherein the set of constraints comprises rules pertaining to billing codes associated with the set of treatment plans;

generates, by the artificial intelligence engine, optimal treatment plans for a patient, wherein the generating is based on the set of treatment plans, the set of monetary value amounts, and the set of constraints, wherein each of the optimal treatment plans complies with the set of constraints and represents a patient outcome and an associated monetary value amount generated; and

transmits the optimal treatment plans to be presented on a computing device.

2. The computer-implemented system of claim 1 , wherein the server computing device is further to:

receive a selection of an optimal treatment plan from the optimal treatment plans; and

control, based on the optimal treatment plan, a treatment apparatus while the patient uses the treatment apparatus.

3. The computer-implemented system of claim 1 , wherein the optimal treatment plans are for habilitation, pre-habilitation, rehabilitation, post-habilitation, exercise, strength, pliability, flexibility, weight stability, weight gain, weight loss, cardiovascular, endurance, respiratory, or some combination thereof.

4. The computer-implemented system of claim 1 , further comprising:

receiving a selection of a certain monetary value amount comprising the set of monetary value amounts; and

generating, by the artificial intelligence engine, an optimal treatment plan based on the set of treatment plans, the certain monetary value amount, and the set of constraints, wherein the optimal treatment plan complies with the set of constraints and represents another patient outcome and the certain monetary value amount.

5. The computer-implemented system of claim 1 , wherein the set of treatment plans specifies a set of exercises to be performed by the patient using a treatment apparatus, and the method further comprises:

receiving a set of billing codes associated with the set of exercises; and

correlating the set of billing codes with the rules.

6. The computer-implemented system of claim 1 , further comprising:

receiving levels of risk associated with the set of treatment plans, wherein the generating the optimal treatment plans is also based on the levels of risk; and

transmitting the optimal treatment plans and the level of risks to be presented on the computing device of the medical professional.

7. The computer-implemented system of claim 1 , wherein:

a first optimal treatment plan of the optimal treatment plans results in a first patient outcome and a first monetary value amount generated;

a second optimal treatment plan of the optimal treatment plans results in a second patient outcome and a second monetary value amount generated, wherein the second patient outcome is better than the first patient outcome and the second revenue value generated is greater than the first monetary value amount generated; and

a third optimal treatment plan of the optimal treatment plans results in a third patient outcome in a first amount of time, wherein the first amount of time is than a second amount of time it takes to achieve the first patient outcome and a third amount of time it takes to achieve the second patient outcome.

8. The computer-implemented system of claim 1 , wherein the set of constraints further comprises constraints set forth in regulations, laws, or some combination thereof.

9. The computer-implemented system of claim 1 , further comprising transmitting the optimal treatment plans to be presented on a computing device of the patient in real-time or near real-time during a telemedicine session in which the computing device of the medical professional is engaged.

10. A method for generating, by an artificial intelligence engine, treatment plans for optimizing patient outcome and monetary value amount generated, the method comprising:

receiving a set of treatment plans that, when applied to patients, causes outcomes to be achieved by the patients;

receiving a set of monetary value amounts associated with the set comprising treatment plans, wherein a respective monetary value amount of the set of monetary value amounts is associated with a respective treatment plan comprising the set of treatment plans;

receiving a set of constraints, wherein the set of constraints comprises rules pertaining to billing codes associated with the set of treatment plans;

generating, by the artificial intelligence engine, optimal treatment plans for a patient, wherein the generating is based on the set of treatment plans, the set of monetary value amounts, and the set of constraints, wherein each of the optimal treatment plans complies with the set of constraints and represents a patient outcome and an associated monetary value amount generated; and

transmitting the optimal treatment plans to be presented on a computing device.

11. The method of claim 10 , wherein the optimal treatment plans are for habilitation, pre-habilitation, rehabilitation, post-habilitation, exercise, strength, pliability, flexibility, weight stability, weight gain, weight loss, cardiovascular, endurance, respiratory, or some combination thereof.

12. The method of claim 10 , further comprising:

receiving a selection of a certain monetary value amount comprising the set of monetary value amounts; and

generating, by the artificial intelligence engine, an optimal treatment plan based on the set of treatment plans, the certain monetary value amount, and the set of constraints, wherein the optimal treatment plan complies with the set of constraints and represents another patient outcome and the certain monetary value amount.

13. The method of claim 10 , wherein the set of treatment plans specifies a set of exercises to be performed by the patient using a treatment apparatus, and the method further comprises:

receiving a set of billing codes associated with the set of exercises; and

correlating the set of billing codes with the rules.

14. The method of claim 10 , further comprising:

receiving levels of risk associated with the set of treatment plans, wherein the generating the optimal treatment plans is also based on the levels of risk; and

transmitting the optimal treatment plans and the level of risks to be presented on the computing device of the medical professional.

15. The method of claim 10 , wherein:

a first optimal treatment plan of the optimal treatment plans results in a first patient outcome and a first monetary value amount generated; and

a second optimal treatment plan of the optimal treatment plans results in a second patient outcome and a second monetary value amount generated, wherein the second patient outcome is better than the first patient outcome and the second revenue value generated is greater than the first monetary value amount generated.

16. The method of claim 10 , wherein the set of constraints further comprises constraints set forth in regulations, laws, or some combination thereof.

17. The method of claim 10 , further comprising transmitting the optimal treatment plans to be presented on a computing device of the patient in real-time or near real-time during a telemedicine session in which the computing device of the medical professional is engaged.

18. The method of claim 10 , further comprising:

receiving a selection of an optimal treatment plan from the optimal treatment plans; and

controlling, based on the optimal treatment plan, a treatment apparatus while the patient uses the treatment apparatus.

19. The method of claim 18 , wherein the controlling is performed distally.

20. The method of claim 10 , wherein:

the optimal treatment plans are presented on the computing device of a medical professional during a telemedicine session in which a computing device of the patient is engaged.

21. The method of claim 10 , wherein:

the optimal treatment plans are presented on the computing device of patient during a telemedicine session in which a computing device of a medical professional is engaged.

22. The method of claim 10 , wherein the generating, based on the set of treatment plans, the set of monetary value amounts, and the set of constraints, the optimal treatment plans further comprises optimizing the optimal treatment plans for revenue generated, profit generated, cash flow generated, free cash flow generated, gross revenue generated, earnings before interest taxes amortization (EBITA) generated, or some combination thereof.

23. A system, comprising:

a memory device storing instructions; and

a processing device communicatively coupled to the memory device, the processing device executes the instructions to:

receive a set of treatment plans that, when applied to patients, cause outcomes to be achieved by the patients;

receive a set of monetary value amounts associated with the set of treatment plans, wherein a respective monetary value amount comprising the set of monetary value amounts is associated with a respective treatment plan comprising the set of treatment plans;

receive a set of constraints, wherein the set of constraints comprises rules pertaining to billing codes associated with the set of treatment plans;

generate, by an artificial intelligence engine, optimal treatment plans for a patient, wherein the generating is based on the set of treatment plans, the set of monetary value amounts, and the set of constraints, wherein each of the optimal treatment plans complies with the set of constraints and represents a patient outcome and an associated monetary value amount generated; and

transmit the optimal treatment plans to be presented on a computing device.

24. The system of claim 23 , wherein the optimal treatment plans are for habilitation, pre-habilitation, rehabilitation, post-habilitation, exercise, strength, pliability, flexibility, weight stability, weight gain, weight loss, cardiovascular, endurance, respiratory, or some combination thereof.

25. The system of claim 23 , wherein the processing device is further to:

receive a selection of a certain monetary value amount comprising the set of monetary value amounts; and

generate, by the artificial intelligence engine, an optimal treatment plan based on the set of treatment plans, the certain monetary value amount, and the set of constraints, wherein the optimal treatment plan complies with the set of constraints and represents another patient outcome and the certain monetary value amount.

26. The system of claim 23 , wherein the set of treatment plans specifies a set of exercises to be performed by the patient using a treatment apparatus, and the processing device is further to:

receive a set of billing codes associated with the set of exercises; and

correlate the set of billing codes with the rules.

27. The system of claim 23 , wherein the processing device is further to:

receive levels of risk associated with the set of treatment plans, wherein the generating the optimal treatment plans is also based on the levels of risk; and

transmit the optimal treatment plans and the level of risks to be presented on the computing device of the medical professional.

28. The system of claim 23 , wherein:

a first optimal treatment plan of the optimal treatment plans results in a first patient outcome and a first monetary value amount generated; and

a second optimal treatment plan of the optimal treatment plans results in a second patient outcome and a second monetary value amount generated, wherein the second patient outcome is better than the first patient outcome and the second revenue value generated is greater than the first monetary value amount generated.

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

receive a set of treatment plans that, when applied to patients, cause outcomes to be achieved by the patients;

receive a set of monetary value amounts associated with the set of treatment plans, wherein a respective monetary value amount of the set of monetary value amounts is associated with a respective treatment plan of the set of treatment plans;

receive a set of constraints, wherein the set of constraints comprises rules pertaining to billing codes associated with the set of treatment plans;

generate, by an artificial intelligence engine, optimal treatment plans for a patient, wherein the generating is based on the set of treatment plans, the set of monetary value amounts, and the set of constraints, wherein each of the optimal treatment plans complies with the set of constraints and represents a patient outcome and an associated monetary value amount generated; and

transmit the optimal treatment plans to be presented on a computing device.

30. The computer-readable medium of claim 29 , wherein the processing device is further to:

receive a selection of an optimal treatment plan from the optimal treatment plans; and

control, based on the optimal treatment plan, a treatment apparatus while the patient uses the treatment apparatus.

Assignments (5)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 24, 2025
From: MASON, STEVEN; POSNACK, DANIEL; ARN, PETER; PARA, WENDY; HACKING, S. ADAM
To: ROM TECHNOLOGIES, INC.
Reel/Frame 070933/0177 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 24, 2025
From: GREENE, JONATHAN
To: ROM TECHNOLOGIES, INC.
Reel/Frame 070938/0171 →
CONFIDENTIALITY AND NONDISCLOSURE AGREEMENT (EMPLOYMENT AGREEMENT) Recorded Apr 24, 2025
From: MUELLER, MICHEAL
To: ROM TECHNOLOGIES, INC.
Reel/Frame 071033/0480 →
CHANGE OF NAME Recorded Apr 24, 2025
From: ROM 3 REHAB, LLC
To: ROM TECHNOLOGIES, INC.
Reel/Frame 071035/0738 →
CONFIDENTIALITY AND NONDISCLOSURE AGREEMENT (EMPLOYMENT AGREEMENT) Recorded Apr 24, 2025
From: GUANERI, JOSEPH
To: ROM 3 REHAB, LLC
Reel/Frame 071351/0218 →
Continuity (4)
Continuation In Part 17021895 · Sep 15, 2020
Continuation 16987048 · Aug 6, 2020
Provisional Application 62910232 · Oct 3, 2019
Related Publication 20210134430A1 · May 6, 2021
Cited By (53)
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