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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 9,734,512 B2
  • Filed: 09/24/2014
  • Issued: 08/15/2017
  • Est. Priority Date: 09/26/2013
  • Status: Active Grant
First Claim
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1. A non-transitory computer readable medium for incentivizing service providers comprising instructions that, upon execution by a hardware processor, cause the hardware processor to:

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

    execute a second subroutine providing a decision support system interfacing with the best practices database and hardware processor, 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;

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

    execute 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;

    execute a fifth subroutine for designating a sum of funds representative of an operating budget for a 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; and

    execute a sixth subroutine for subdividing said sum between different practice groups and sub-specialties associated with a given class of service providers.

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