Patent Document ID: 20160350495
Application ID: 15233577
Patent Flag: 0

Claim One:
1. A method for enabling a patient with a condition to optimize treatment options based on one or more of geography, outcome and cost comprising interactions between a patient, a computer server containing a processor comprising a first clinical outcome tracking and analysis module, a client device comprising a second clinical outcome tracking and analysis module that is communicatively linked to the first clinical outcome tracking and analysis module via a network, and a computing device containing a third clinical outcome tracking and analysis module, the computer server comprising: a processor; a database comprising personal health information data for a patient population; a first clinical outcome tracking and analysis module communicatively linked to the database and a network; and an updatable memory to store computer program instructions, the computer program instructions when executed on the processor causing the first clinical outcome tracking and analysis module to perform operations comprising: (A) accounting for biological variance up front by grouping patients in the patient population, thereby effectively removing biological variance as a factor in value of care, and leaving treatment variance as a predominant factor in treatment outcome in the patient population by: (i) receiving, collecting and recording, in the database, the personal health information from each patient in the patient population, the personal health information comprising each parameter that characterizes each patient in the patient population; (ii) sorting the personal health information for each patient in the patient population using a sorting filter to (i) provide a sorted set of personal health information for the patient population, and (ii) identify patients satisfying each parameter in the patient population; and (iii) classifying like personal health information, and grouping types of patients in the patient population, based on the personal health information associated with the patient population by generating and assigning a plurality of nodal addresses, wherein the generating and assigning the plurality of nodal addresses comprises: (1) representing each nodal address as a discrete punctuated string of digits comprising a prefix, a middle, and a suffix that each represent a set of preselected variables that partition the sorted and classified information into a clinically relevant set of health information; (2) reducing trillions of possible permutations to a reduced number of clinically meaningful permutations based on the discrete punctuated string of digits representing each nodal address that enable analysis of first behavioral and then consequent clinical and cost outcome variance from an ideal value expressed as best clinical outcome at lowest possible cost, in a requisite time needed to alert for necessary care and avoidance of unnecessary care, thereby increasing increase the value of care meaning better clinical outcomes at a lowest possible cost; (3) allowing a user (a′) to identify certain of the personal health information as a desired set of characteristics, and (b′) to add one or more attribute(s) to the personal health information to identify the personal health information of each patient as being on an equal level of importance to other health information in the database; (4) reducing processing requirements and time for processing to make real-time monitoring of medical provider performance efficient, based on the discrete punctuated string of digits representing each nodal address and based on the reduction in the possible permutations; and (5) enabling a prediction of key points in time at which behavioral variance is likely to occur and interrupting treatment flow to avoid over-/under-utilization of care to prevent the behavioral variance; (B) measuring a clinical outcome for each nodal address by analyzing the clinically relevant set of health information for a subset of the patient population; and (C) measuring behavioral variance for each medical care provider of each patient in the patient population assigned to each nodal address by comparing differences between one medical care provider and another medical care provider(s) in treating, testing, following-up, complying with prescribed medicines, and cost for each patient in the patient population assigned to the each nodal address; the client device comprising: a processing unit; a memory; and a second clinical outcome tracking and analysis module communicatively linked to the first clinical outcome tracking and analysis module and the network, the method comprising: (a) the patient sending via a client device a first communication reporting a health concern to a computer server comprising: (b) the first clinical outcome tracking and analysis module, upon receiving the first communication in (a), sending to the client device comprising the second clinical outcome tracking and analysis module in reply a second communication containing list of tests needed to diagnose the health concern as a medical condition; (c) the patient sending via the client device containing the second clinical outcome tracking and analysis module to the first clinical outcome tracking and analysis module a third communication containing results of the tests needed to diagnose the health concern in (b); (d) the first clinical outcome tracking and analysis module upon receiving the third communication in (c) sending to the client device comprising the second clinical outcome and analysis module in reply a fourth communication containing a diagnosis of the medical condition and a list of additional tests needed for further classifying the medical condition; (e) the patient upon receiving the fourth communication in (d) sending via the client device containing the second clinical outcome tracking and analysis module to the first clinical outcome tracking and analysis module a fifth communication containing the results of the additional tests in (d); (f) based on the results of the tests in (c), the tests in (e), and the diagnosis in (d), the first clinical outcome tracking and analysis module (i) assigning, a nodal address to the patient from the plurality of nodal addresses available in A(iii), the assigned nodal address containing the clinically relevant set of health information for the patient; and (ii) transmitting to the client device comprising the second clinical outcome tracking module a sixth communication comprising: 1. the assigned nodal address; and 2. a geographically organized list of medical professionals treating patients within the assigned nodal address, wherein the list of medical professionals is classified by one or more of geography, clinical outcome or cost; (g) the patient sending to the first clinical outcome tracking and analysis module via the client device comprising the second clinical outcome tracking module, a seventh communication selecting a medical professional that meets one or more of the geographical, cost, and outcome needs of the patient; and (h) communicatively linking the first clinical outcome and tracking analysis module to the computing device comprising a third clinical outcome tracking and analysis module at the selected medical professional's office to facilitate the patient's scheduling of an appointment with the selected medical professional.