Rating system, process and predictive algorithmic based medium for treatment of medical conditions and including workman compensation and general rehabilitation modules for optimizing care provider efficiencies and expedited treatment for achieving higher patient functional outcomes and lower cost

Abstract

The present invention discloses a system, method and non-transitory software based computer writeable medium usable with a processor driven device for optimizing the diagnosis, treatment and resolution of worker injury events, such as associated with a workman compensation claim, and which improves upon the existing paper based module by synthesizing, in a digital environment, symptom, treatment and progress variables in a multi-party available format. A further related rehabilitation module, such as not limited to a worker injury event but also including any injury event associated with a typical accountable care organization (insurer/other payor/etc.) in a general health application is provided for establishing and tracking a patient's functional independent (FEM) measurement score. As with the workman compensation module, the rehabilitation module integrates the establishment of current conditions, achievable goals, and time based tracking of the patient treatment (including time elapsed changes in response to flat line response indicating a non-effective treatment plan) in order to define a patient goal outcome and to optimize real time treatment and progress tracking to that goal.

I claim: 
     
         1 . A non-transitory software based algorithmic medium usable with a processor driven device for use in the treatment of an injured worker by a care provider, the worker further being involved in a workman compensation claim with an employer or payer, comprising:
 a first subroutine for assembling a provider network incorporating a best practices model in the form of a database interfacing with the processor device and which presents series of treatment options associated with a given type of service, along with a fee schedule incentivizing the care provider in the achievement of a best functional outcome;   a second subroutine for training a plurality of the care providers in one or more of a series of medical related diagnosis and treatment programs consistent with the objectives of the first subroutine, said second subroutine further including establishing one or more management pathways which are customizable by the provider network and through establishing a questioning protocol for modifying or customizing a base algorithm for any one or more of a variety of treatment sub-species;   a third subroutine for use by a supervisor designated by the employer/payer and which, upon the occurrence of an injury event, provides input of both worker biographical and detail of injury;   a fourth subroutine for assignment, by the provider network, of the care provider;   a fifth subroutine which, upon an initial visit of the injured worker with the care provider, provides for confirmation by the worker of details previously provided by the supervisor and for the inputting of additional information and/or details surrounding the injury event;   a sixth subroutine for establishing, by the worker with or without the assistance of the care provider, an electronic initial injury detail chart including at least one of a pictorial representation of a human form, along with inputs for symptoms relating to the injury event including type and intensity of pain;   a seventh subroutine for synthesizing all of the preceding subroutines in the establishment of a symptoms and treatment catalog over a duration of time extending from the injury event to an eventually determined end event corresponding to a recovery by the worker of a level of ability and function necessary for triggering a return to work event; and   an eighth subroutine for iteratively treating the worker and updating the symptoms and treatment catalog, such occurring at determined time intervals following the injury event until the eventually determined end event.   
     
     
         2 . The non-transitory software based algorithmic medium of  claim 1 , further comprising a ninth subroutine for determining, between the care provider, worker and employer/payer, a set of goals for achievement by the injured worker in triggering the return to work event. 
     
     
         3 . The non-transitory software based algorithmic medium of  claim 2 , said sixth subroutine further comprising front and back pictorial depictions of a human form, said symptom inputs further comprising listing of any of an aching pain, stabbing pain, burning pain or a numbness/tingling, along with either of a color or numerical intensity code. 
     
     
         4 . The non-transitory software based algorithmic medium of  claim 1 , further comprising a tenth worker ability input subroutine, occurring between the fifth and seventh subroutines, and listing a number of typical duties associated with a job of the worker, and for which the worker provides a current ability input. 
     
     
         5 . The non-transitory software based algorithmic medium of  claim 4 , said current ability input of the tenth subroutine further comprising listing a point score for each duty as tied to any one of a minimum effort, moderate effort, severe effort, extreme effort and unable to perform, an accumulation of the points totaling a worker current ability. 
     
     
         6 . The non-transitory software based algorithmic medium of  claim 5 , said eighth subroutine further comprising a time interval comparison of said current ability and goals and corresponding to both treatment and changes in treatment derived from the first and second subroutines. 
     
     
         7 . The non-transitory software based algorithmic medium of  claim 6 , further comprising synthesizing said worker ability input subroutine with said seventh and eighth subroutines in order to create an eleventh subroutine for determining, for each time interval, a range between worker inputted current ability and goal ability for each identified job duty. 
     
     
         8 . The non-transitory software based algorithmic medium of  claim 7 , further comprising a twelfth subroutine for graphing a succession of time interval data points, each corresponding to an average of a current worker ability for the identified job duties, the care provider comparing an angle of inclination of the graph with the treatment protocols provided in the best practices model of the first subroutine and the management pathways of the second subroutine in the continued treatment of the worker according to the eighth subroutine. 
     
     
         9 . A non-transitory software based algorithmic medium usable with a processor driven device for use in the treatment and rehabilitation of a patient covered by a provider network, comprising:
 a first subroutine for assembling a provider network incorporating a best practices model in the form of a database interfacing with the processor device and which presents series of treatment options associated with a given type of service, along with a fee schedule incentivizing the care provider in the achievement of a best functional outcome;   a second subroutine for training a plurality of the care providers in one or more of a series of medical related diagnosis and treatment programs consistent with the objectives of the first subroutine, said second subroutine further including establishing one or more management pathways which are customizable by the provider network and through establishing a questioning protocol for modifying or customizing a base algorithm for any one or more of a variety of treatment sub-species;   a third subroutine for entering or synthesizing patient information including biographical and nature/type of condition associated with an event date;   a fourth subroutine for assignment, by the provider network, of a care provider for the treatment of the patient;   a fifth rehabilitation setting input subroutine for establishing, by the patient with or without the assistance of the care provider, a listing of scaled efforts ranging independent to total physical assist and associated with a listing of patient ADL functions, such determinative of a present or future rehabilitative setting as recommended to the provider network;   a sixth subroutine for synthesizing all of the preceding subroutines in the establishment of a treatment and rehabilitation catalog over a duration of time extending from the event date to an eventually determined end event corresponding to an eventual final degree of recovery by the patient of a level of ability and function associated with an end rehabilitation setting, and   a seventh subroutine for iteratively treating the patient and updating the symptoms and treatment catalog, such occurring at determined time intervals following the event date until the eventually determined end date.   
     
     
         10 . The non-transitory software based algorithmic medium of  claim 9 , further comprising an eighth rehabilitation subroutine for determining, between the care provider, patient and provider network, a set of goals for achievement by the patient in satisfying an established criteria for a given rehabilitation setting ranging from inpatient, subacute, home care, outpatient or none. 
     
     
         11 . The non-transitory software based algorithmic medium of  claim 10 , said seventh subroutine further comprising a time interval comparison of said current ability and goals and corresponding to both treatment and changes in treatment derived from the first and second subroutines. 
     
     
         12 . The non-transitory software based algorithmic medium of  claim 11 , further comprising synthesizing said rehabilitation setting input subroutine with said sixth and seventh subroutines in order to create a ninth rehab setting subroutine for determining, for each time interval, a range between patient inputted prior function, current function and goal function for each identified ADL function. 
     
     
         13 . The non-transitory software based algorithmic medium of  claim 12 , further comprising an eighth subroutine for graphing a succession of time interval data points, each corresponding to an average of a patient ability for the identified ADL functions, the care provider comparing an angle of inclination of the graph with the treatment protocols provided in the best practices model of the first subroutine and the management pathways of the second subroutine in the continued treatment of the patient according to the seventh subroutine.