Patent ID: 9734288
Date: 2017-08-15
CPC Classifications: G06F,G06Q,G16H

Claim:
1. A method for bundling of patient care services to provide clinical outcome certainty and cost certainty, comprising interactions between a medical care provider, a computer 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 user, the method comprising: (a) executing on the processor comprising the first clinical outcome tracking and analysis module the steps of: A) accounting for biological variance up-front by grouping patients in a patient population by: (i) receiving, collecting and recording in a database 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, (i) to provide a sorted set of personal health information for that population, and (ii) to identify patients satisfying each parameter in the patient population; (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, within the first clinical outcome tracking and analysis module, 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 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 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 the value of care, meaning better clinical outcomes at a lowest possible cost; (3) allowing the 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 patient population database, (4) reducing processing requirements and time for processing to make real-time monitoring efficient based on the discrete punctuated string of digits representing each nodal address and based on the reduction in permutations; (5) enabling 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; and (6) associating each nodal address with one or more bundles of predetermined patient care services at a predetermined cost for treatment of the disease associated with the nodal address; B. measuring clinical outcome for each nodal address by: analyzing the clinically relevant set of personal health information for the subset of the patient population for one or more patients in the subset of the patient population; and comparing clinical outcome of like patients to like patients in (B) to minimize biological variability of clinical outcome; C. measuring behavioral variance for each health 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 each nodal address; D. reporting to the user via the client device comprising the second clinical outcome tracking analysis module communicatively linked to the first clinical outcome tracking and analysis module of the processor by transmitting a communication containing an alert over the network, the alert containing: (i) the clinical outcome data in (B); (ii) the behavioral variance in (C); and (iii) a cost report comprising cost data for treating each patient in the patient population assigned to each nodal address; and (b) enabling the user to select a bundle of patient care services comprising a predetermined course of treatment at a predetermined cost for the particular disease.