RATING SYSTEM, PROCESS AND ALGORITHMIC BASED MEDIUM FOR TREATMENT OF MEDICAL CONDITIONS IN COST EFFECTIVE FASHION UTILIZING BEST TREATMENT PROTOCOLS AND FINANCIAL ASSESSMENT TOOLS FOR DETERMINING A MAXIMUM CUTOFF POINT FOR ASSESSING HEALTHCARE RETURN ON INVESTMENT AND TO PROVIDE FOR IMPROVED CLINICAL/FUNCTIONAL OUTCOMES

• US 20150088628A1
• Filed: 09/24/2014
• Published: 03/26/2015
• Est. Priority Date: 09/26/2013
• Status: Active Grant

• Current Assignee: Ali Alhimiri
• Original Assignee: Ali Alhimiri
• Inventors: Alhimiri, Ali
• Granted Patent: US 9,734,512 B2
• Time in Patent Office: Days
• US Class Current: 705/14.19
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 30/0217 involving input on products or services in exchange for incentives or rewards
• CPC Class Codes: G16H 40/20 for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• CPC Class Codes: G16H 70/20 relating to practices or guidelines

Abstract

The present invention discloses a system, method and non-transitory software based computer writeable medium usable with a processor driven device for incentivizing service providers. A first subroutine assembles a best practices model in the form of a database downloadable to the processor device and which presents series of treatment options ranging from desirable to undesirable associated with a given type of service. A second subroutine provides a decision support system interfacing with the best practices database and processor device, the support system providing any of a grading or awarding system for scoring, in real time, performance metrics for each of any number of providers of the service. A third subroutine outputs to each of the providers, real time and continuously updated scoring of their performance metrics based upon the grading/awarding system. A fourth subroutine for incentivizing adherence by the providers to the best practices model by tying desirable performance metrics to financial incentives which are scaled to each treatment option.

Claims

1. A non-transitory software based algorithmic medium usable with a processor driven device for incentivizing service providers, comprising:

a first subroutine for assembling a best practices model in the form of a database interfacing with the processor device and which presents series of treatment options ranging from desirable to undesirable associated with a given type of service;

a second subroutine providing a decision support system interfacing with the best practices database and processor device, the support system providing any of a grading or awarding system for scoring, in real time, performance metrics for each of any number of providers of the service;

a third subroutine for outputting to a plurality of subset processor devices assigned to each of the providers, real time and continuously updated scoring of their performance metrics based upon the grading/awarding system and as a result of the treatment options selected and inputted by the providers; and

a fourth subroutine for incentivizing adherence by the providers to the best practices model by tying desirable performance metrics to financial incentives which are scaled to each treatment option.

2. The non-transitory software based algorithmic medium of claim 1, further comprising an additional subroutine for providing and incentivizing patient input to the processor driven device in the form of at least one of medical/biographical data input and commentary/rating regarding the service provider.

3. The non-transitory software based algorithmic medium of claim 1, further comprising a management module having at least one additional subroutine interfacing with the processor driven device for monitoring and tracking adherence to the best practices model.

4. The non-transitory software based algorithmic medium of claim 1, further comprising an additional subroutine for designating a sum of funds representative of an operating budget for the service provider and for disbursement on a percentage basis to each of any number of subset service providers based upon adherence to the best practices model.

5. The non-transitory software based algorithmic medium of claim 4, further subdividing said sum between different practice groups and sub-specialties associated with a given class of service providers.

6. The non-transitory software based algorithmic medium of claim 1, said treatment options associated with said first subroutine further comprising being integrated into a medical care protocol and further including any one or more of a first physician service provider assessing a patient'"'"'s condition, a second physiatrist service provider further assessing the patient and interfacing with said first physician in an extreme diagnostic event, and a third surgeon service provider for additionally assessing the patient and interfacing with the second physiatrist service provider in at least an epidural related event.

7. The non-transitory software based algorithmic medium as described in claim 1, further comprising an MRI procedure associated with an interfacing event between said physician and physiatrist modules.

8. A system for incentivizing service providers to participate in a best practices and outcome determinant model for providing healthcare, comprising:

a processor device incorporating a best practices model in the form of a database interfacing with the device and which presents series of treatment options ranging from desirable to undesirable associated with each of a number of relevant healthcare services;

a decision support system interfacing with the best practices database and processor device, the support system providing any of a grading or awarding system for scoring, in real time, performance metrics for each of any number of providers of the service; and

a plurality of subset processor devices assigned to each of the service providers, each of the subset devices recording each selected treatment option provided to a patient, said subset devices interfacing with said processor device and receiving, in real time, continuously updated scoring of their performance metrics based upon the grading/awarding system, this including tying desirable performance metrics to financial incentives which are scaled to each treatment option.

9. The system of claim 8, further comprising a patient kiosk interfacing with the processor device and for inputting to the processor driven device at least one of medical/biographical data input and commentary/rating regarding the service provider.

10. The system of claim 8, further comprising a management module having at least one additional subroutine interfacing with the processor driven device for monitoring and tracking adherence to the best practices model.

11. A method for incentivizing service providers to participate in a best practices and outcome determinant model for providing healthcare, comprising the steps of:

creating a best practices model in the form of a database interfacing with a processor device incorporating a software based algorithmic medium, the model presenting a series of treatment options ranging from desirable to undesirable associated with a given type of service;

establishing a decision support system interfacing with the best practices database and processor device, the support system providing any of a grading or awarding system for scoring, in real time, performance metrics for each of any number of providers of the service;

outputting to a plurality of subset devices associated with each of a plurality of service providers real time and continuously updated scoring of performance metrics based upon the grading/awarding system and as a result of the treatment options selected and inputted by the providers; and

incentivizing adherence by the providers to the best practices model by tying desirable performance metrics to financial incentives which are scaled to each treatment option.

12. The method of claim 11, further comprising the step of providing and incentivizing a patient input function to the processor driven device in the form of at least one of medical/biographical data input and commentary/rating regarding the service provider.

13. The method of claim 11, further comprising the step of incorporating a management module having at least one additional subroutine interfacing with the processor driven device for monitoring and tracking adherence to the best practices model.

14. The method of claim 11, further comprising the step designating a sum of funds representative of an operating budget for the service provider and for disbursement on a percentage basis to each of any number of subset service providers based upon adherence to the best practices model.

15. The method of claim 14, further comprising the step of subdividing the sum between different practice groups and sub-specialties associated with a given class of service providers.