KR20190077093A - CNA-induced care to improve clinical outcomes and reduce total care costs - Google Patents

Abstract

The described invention contemplates that when executed on a processor, communicatively linked clinical outcome tracking and analysis modules use CNA-induced care to improve clinical outcomes at a particular patient level and reduce total care costs at the population level A method, system and non-transient computer readable medium for storing computer program instructions for causing operations to be performed. When executed on a processor including a first clinical outcome tracking and analysis module, the computer program instructions cause the first clinical outcome and tracking module to account for preceding biological changes by grouping patients in the patient population, Leaving and leaving treatment variability as the main factor of treatment outcome by effectively eliminating it as an element of value and by receiving, classifying, and distinguishing personal health information creates multiple clinical outcome tracking and analysis nodal addresses (CNAs) Each CNA comprising a prefix representing a set of preselected variables that divides the categorized and separated information into a clinically relevant set of information, a punctuation discrete number including a middle and a suffix Express the column. The First Clinical Outcome Tracking and Analysis (COTA) module tracks the results of treatment selections and reports on results associated with the use of these CNAs. CNA-induced care with two sides operates through the application of CNAs and is formed by the health care provider, the payor, and the trinity of the patient suffering from the disease. The first aspect, the enabling tool, includes a computer including a processor including a medical care provider, a first clinical result tracking and analysis (COTA) module, a second COTA module communicatively linked to a first COTA via a network And interaction between the first client device and the payer. The payer transmits information identifying the health care service under consideration for the patient covering the services and other variables selected by the payer by the health care benefits to the processor including the first COTA module via the second COTA module. In response, the first COTA module sends to the second COTA module: (1) clinical outcome data for the appropriate CNA; (2) behavior variation data for each healthcare provider in the appropriate CNA; (3) an expense report that includes real-time cost data for treating each patient in the patient population assigned to the appropriate CNA; And (4) send one or more graphical analyzes correlating the care costs to the clinical outcome. That the medical service is at the appropriate delivery or service level, taking into account the potential benefits and harms to the patient; That health care services are effective at improving health outcomes by improving clinical outcomes and reducing total care costs; That the service is cost-effective for the medical condition and clinical outcome being treated, as compared to alternative health interventions or interventions; And if this information is sufficient to establish that the service follows a generally accepted medical practice, the payer may authorize payment to the medical care provider for the service. A second side comprising interactions between a second client device comprising a third COTA module communicatively linked to the first COTA module over the network and the patient, , A processor including a first COTA module and communications between the third telecommunication-linked client device including a third COTA module that is sufficient for a complete medical assessment of the patient and provides information for assigning the CNA to the patient do. The CNA is then used to allow the patient with the condition to select an optimal care plan with reduced risk of adverse deviations from medical professionals based on geography, clinical outcome, cost and other patient-setting criteria within the CNA. The assigned CNA may be associated with one or more bundles of predetermined patient care services for treatment of conditions that may provide a predetermined treatment process, cost certainty, or both. When the patient selects a healthcare professional that meets one or more of the geographic, cost, and patient ' s clinical outcome needs, the first COTA module communicably communicates with a computing device in a selected healthcare professional's office to enable scheduling of appointments Can be linked.

Description

CNA-induced care to improve clinical outcomes and reduce total care costs

[0001] This application claims priority to U.S. Serial No. 15 / 351,099, filed November 14, 2016, the entire content of which is incorporated herein by reference.

[0002] This disclosure relates to CNA-induced care for improving clinical outcomes at a particular patient level and reducing total care costs at the population level.

[0003] With the general population living longer, most of the medical costs associated with the elderly population are increasing. The costs associated with serious illness and chronic illnesses, such as cancer, are increasing in an unsustainable way. For example, cancer costs are expected to be the highest growth areas in health care consumption without corresponding improvements in results. It is estimated that in the US alone, about $ 125 billion was spent on cancer care in 2010 and that about 15-30% of consumption could be classified as a result of unnecessary or inappropriate care, where too little or too much Care does not lead to optimal clinical outcomes and excessive costs (hereinafter "Adverse Variance").

[0004] Under the present system, for every 100 people with severe medical conditions under care, there is an unfavorable deviation of 20% on average, which means that too little or too much care has been delivered to individual patients. Thus, optimal clinical outcomes do not occur in 20% of the patients being cared for, resulting in an increase in total care costs at a time of 100% population level.

[0005] Conventional techniques for managing costs, such as clinical pathways and disease management, are typically inefficient and there are no quality alternatives presently on the market today.

[0006] The current pre-release infrastructure that allows the payer to determine whether medical services are covered under the patient's health insurance is expensive and takes too much time, which can adversely affect clinical outcomes by delaying the care needed.

[0007] As technology and medical advances continue, the science and clinical practice of caring for diseases (such as cancer, cardiovascular disease, lung disease and behavioral health) is rapidly evolving. Often, medical professionals (eg, oncologists) have difficulty keeping up with these advances. These advances, such as next-generation gene sequencing, are typically complex and can present major problems for health care providers and healthcare professionals. As a result, health plans will likely need more tools and support to manage these medical (eg, oncology) businesses. Similarly, medical professionals (e.g., doctors) will need more judgment support tools to practice the best medicine and to keep the business.

[0008] The clinical outcome tracking and analysis (COTA) module is used, for example, by medical professionals and / or other users to practice better medicine, to better manage and locate specific information associated with a disease and / or patient, It is a tool that can make it possible.

[0009] The parameters of clinical result tracking and analysis are classification, result tracking, ECOG (Eastern Cooperative Oncology Group) performance status; This includes toxicity and care costs for therapy. In an aspect, a method and system includes receiving from a client device one or more parameters for classifying a plurality of data records from a client device operated by a user, and receiving a COTA Module. The node address representing one or more of the variables is applied to the categorized set of patient medical records to determine a clinically relevant set of patient medical records as a categorized set of patient medical records satisfying one or more of the variables. The COTA module then analyzes the clinically relevant set of patient medical records and communicates at least a portion of the classified and categorized data records and the updated data records to the client device for display.

[00010] Each data record includes data associated with the disease and data associated with patients with previous disease or already having the disease. A COTA module can receive data from an electronic medical record (EMR), a user, a healthcare professional, an expert, or any other source.

[00011] The COTA module may allow a user to perform various analyzes on one or more of the data records. For example, a COTA module may enable the comparison of tracked results or data between patients, may identify a particular patient as a candidate for a particular treatment or drug, and may include, for example, Or to enable comparison of the Kaplan Meier curves, and based on the traces, a particular physician associated with the patient may treat the other (similar) patients To treat the patient according to other physicians ' techniques.

[00012] The COTA module can also send alerts to client devices upon triggering. The trigger may be, for example, a diagnosis, progression, dose change, drug change, toxicity, a trending trend from the desired result, and / or a specific time.

[00013] The COTA module tracks the results of treatment selections and reports on the results associated with the use of CNA (COTA Nodal Addresses). This explains the preceding biological variation by grouping patients in the patient population, effectively eliminating biological variation as a factor of care value, leaving treatment variability as the main factor of treatment outcome. The COTA module receives, collects, and records personal health information from each patient in the patient population of the database, and categorizes the individual health information. Similar personal health information is identified and the types of patients in the patient population are grouped based on personal health information by generating and assigning a plurality of node addresses within the COTA module. Each CNA includes a prefix, a discrete punctuated string of digits containing a middle and a suffix that represents a set of preselected variables that divide the classified and classified information into clinically relevant sets of health information, Lt; / RTI > An analysis of the resulting clinical and cost result variability from the ideal value expressed as the best clinical outcome at the first action and then at the lowest possible cost, within the time necessary to warn of avoidance of the necessary care and unnecessary care, Based on the punctuated column of discrete digits representing each node address that enables the number of possible permutations, thereby reducing the number of possible permutations to a reduced number of clinically meaningful permutations, thereby increasing the care value, Means better clinical outcomes at a reasonable cost of; Reduce the time and processing requirements for processing that enables efficient real-time monitoring of healthcare provider performance based on the punctuated column of discrete digits representing each node address and based on the reduction of permutations; And to discontinue the therapy flow to avoid predicting over / under-use of care in order to enable prediction of key points at times when behavioral change is likely to occur and to prevent behavioral fluctuations.

[00014] The present invention provides CNA-induced care. CNA-induced care has two sides, and two sides together enable value-based care delivery in the United States through the application of CNAs, through healthcare providers, payers, and patients' trinity suffering from disease .

[00015] The first aspect, the enabling tool, comprises a medical care provider, a computer including a processor including a first COTA module, a first client device including a second COTA module communicatively linked to a first COTA via a network And interactions between the payer and the payer. This allows the payer to identify the health care services under consideration for the patient whose health care benefits cover the service; Indicates that the service is for the purpose of diagnosing or treating the medical condition; And cause communication through the network to the processor identifying variables selected by the payer to be transmitted via a first client device comprising a second COTA module communicatively linked to the first COTA module of the processor. Upon receipt of such communication from the payer, the first COTA module is responsible for (i) the clinical outcome data for each CNA, (ii) the medical care provider's Adverse deviation data for each health care provider in each CNA, including both necessary and unnecessary care of members contributing to adverse deviations; (ii) an expense report that includes cost data for treating each patient in the patient population assigned to the CNA in real time; And (iv) (1) care costs for clinical outcomes; (2) incidence and severity of toxicity to care costs and clinical outcomes of care; And (3) graphical analysis correlating one or more of the therapy and quality of life to the second COTA module. Based on this information, the payer can determine, at key points, (a) that the medical services are at the appropriate delivery or service level, taking into account the potential benefits and harms to the patient; (b) that health care services are effective in improving health outcomes by improving clinical outcomes and reducing total care costs; That the service is cost-effective for the medical condition and clinical outcome being treated, as compared to alternative health interventions or interventions; And when the service can establish that it follows a generally accepted medical practice, the payer may approve the payment to the health care provider for the medical service to the patient.

[00016] In favor of the payer, such an enabling tool removes pre-authorization for testing, diagnostics, and care selections; And can be effective in eliminating the need for introductions. In the benefit of the health care provider, this reduces the time required to pay the provider for health care. Thus, the enabling tool enables healthcare to optimize the charge for service-based cost reimbursement and to move the charge for services (e.g., by bundling services) to risk-based care reimbursement.

[00017] A second aspect of the CNA-derived health care system includes a computer including a processor including a first COTA module, a second client device including a third COTA module communicatively linked to the first COTA module over a network, ≪ / RTI > Through a series of communications between the first COTA module and the patient, the CNA-induced health care provides the patient with sufficient information to obtain a complete medical assessment of his condition and allow the first COTA module to assign the CNA to the patient Provide; Using the second CNA, patient treatment options are shown based on geography, clinical outcome, cost and other patient-setting criteria that may allow the patient to choose an optimized care to avoid adverse deviations; Third, health care providers follow their CNA-induced care with best results at acceptable cost.

[00018] The presently described invention provides computer program instructions that when executed on a processor cause a first COTA module to perform operations using CNA-induced care to improve clinical outcomes at a particular patient level and reduce total care costs at a population level A computer readable medium, and a method for storing the same.

[00019] According to one aspect, the described invention provides a method for improving clinical outcomes at a particular patient level and reducing total care costs at a population level, the method comprising: A. providing a medical care provider, A first client device including a computer including a processor including a module, a second clinical result tracking and analysis module communicatively linked to a first clinical result tracking and analysis module over a network, field; And B. a computer including a processor including a first clinical result tracking and analysis module, a second clinical result tracking and analysis module communicatively linked to the first clinical result tracking and analysis module via a network, A client device, and interactions between the patient and the computer, the computer comprising: a processor including a first clinical result tracking and analysis module running on a processor including a first clinical result tracking and analysis module, the method comprising: a) Describe the preceding biological changes by grouping patients in the patient population, thereby effectively eliminating biological variation as an element of care value, and leaving the treatment variation as the main component of the treatment outcome. i) receive and collect personal health information from each patient within the patient population, And the personal health information includes information that affects survival, prognosis, or treatment based on each parameter and latest scientific knowledge or medical guidelines that characterize each patient within the patient population; (ii) classifying personal health information for each patient within the patient population using a classification filter to provide a categorized set of personal health information for the population and identifying patients satisfying each parameter in the patient population; and; (iii) identify individual similar health information, and generate and assign multiple clinical outcome tracking and analysis nodal addresses (CNAs) within the first clinical outcome tracking and analysis module, Grouping the types of patients in the population and generating and assigning multiple nodal addresses: (1) a prefix that represents a set of preselected variables that divides the classified and separated information into a clinically relevant set of health information Expressing each CNA with a punctuated column of discrete digits containing the middle and suffixes; (2) enable analysis of the resulting clinical and cost result variability from the ideal value expressed as the best clinical outcome at the first action and then at the lowest possible cost, at the required time to avoid unnecessary care and avoid unnecessary care Based on the punctuated column of discrete digits representing each CNA that makes it possible to reduce the enormous amount of possible permutations to a reduced number of clinically meaningful permutations thereby increasing the care value - Means better clinical outcomes at (3) reducing processing requirements and processing time to make efficient real-time monitoring of healthcare provider performance based on the number of discrete digits implying punctuation marks representing each CNA and reduction of permutations; And (4) stopping the treatment flow to avoid predicting over / under utilization of care to enable prediction of key points of potential behavior variation and prevent behavioral changes; (iv) measuring the clinical outcome for each CNA by analyzing a clinically relevant set of personal health information for a subset of the patient population for one or more patients within a subset of the patient population; And (v) comparing the differences between one medical care provider and the other medical care provider in terms of treatment, testing, follow-up, compliance and cost of prescribed medications for each patient within the patient population assigned to each CNA By measuring behavioral variability for each medical care provider of each patient within the patient population assigned to the CNA of the patient; (b) receiving from the payer a second clinical result tracking and analysis module that identifies the health care service under consideration for the patient covering the health care services and the parameters selected by the payer, (2 ') (v), behavior variation data for each healthcare provider of each CNA at (1') (iv), 3 ') an expense report comprising real-time cost data for treating each patient in the patient population assigned to the CNA in (iii), and (4') one or more graphical analyzes correlating the cost of care to the clinical outcome To the second clinical outcome tracking and analysis module, wherein the information includes: (a ') considering the potential benefits and harms to the patient, It is; (b) that health care services are effective in improving health outcomes by improving clinical outcomes and reducing total care costs; (c) Compared to alternative health interventions or interventions, the service is cost-effective for the medical condition and clinical outcome being treated; And (d) the payer has established at key points that the service follows a generally accepted medical practice, and the payer is sufficient to approve payment to the medical care provider for medical services; (c) providing information sufficient to assign the patient a complete medical assessment and a CNA when the series of communications are exchanged with the patient through a second client device including a third clinical result tracking and analysis module, And determining a best care level with a reduced risk of adverse variance; And using a CNA to select a health care provider and a desired level of CNA-induced care, the series of communications comprising: (i ") a processor of a computer server comprising a first clinical result tracking and analysis module In response to a first communication from a patient reporting a health concern, a second communication comprising a list of tests needed to diagnose a health concern as a medical condition in response to a first communication comprising a third clinical result tracking and analysis module 2 to the client device; in response to a third communication from the patient comprising the results of the tests required to diagnose a health concern in step (ii ") (i "), a list of additional tests required to further distinguish the medical condition in response And transmitting a fourth communication comprising diagnosis of the medical condition to a second client device comprising a third clinical result and analysis module; (ii "), in response to a fifth communication from a patient comprising results of additional tests at (iii '') (i" Assigning a CNA to a patient from a plurality of CNAs available in (a '') a (iii) based on a list of additional tests at a Containing a set; And (b '') transmitting a sixth communication to a second client device comprising a third clinical result tracking module, wherein the sixth communication comprises: (1 ") an assigned CNA; And (2 ") a geographically organized list of medical professionals treating patients within an assigned CNA, wherein the list of medical professionals is distinguished by one or more of geography, clinical outcome or cost; in response to a seventh communication from a patient selecting an optimal care plan that includes a medical professional meeting at least one of the patient's geographic, cost and outcome needs, And communicatively linking to a computing device comprising a third clinical result tracking and analysis module in a selected medical professional's office to enable scheduling appointments of the medical practitioner and the patient.

[00020] In some embodiments of the method, the parameters of the classification in (a) (a) (ii) include sex, age, ethnicity, complication, tobacco use, insurance source, medical record number, primary care physician, , One or more of approved service vendors, disease-specific clinical molecular phenotype, therapy intent, therapy phase, biomarkers, and care costs; Or (b) the set of preselected variables in (a) (iii) (1) comprises a disease-specific clinical molecular phenotype; or a digit column representing a phenotype is determined based on a directional graph; Or (c) the key points in steps (a), (iii) (4) and (b) (i ') (4') are diagnostically, progressively, At the time of drug change; Depending on the toxicity, and the tendency to fluctuate from the desired result; Or (d) (b) The correlation of care costs to the clinical outcome stage in (1 ') (4') depends on the incidence of the toxicity, the severity of the toxicity; therapy; And correlating one or more of the cost of care and the quality of life to the care outcome; Or (e) reception of a transmission from a client device in (b) or (c) is via a human user or a technical process; Or (f) the assigned CNA in (c) (iii ") (b") (1 ") is associated with one or more bundles of predetermined patient care services for treatment of the condition; Or (g), (c) (iii ") (b") (2 ") is based on the accepted therapy, the intensity of the delivered dose, the dose interval, the duration of the dose, Metrics, toxicity to therapy, progression-free survival, overall survival, response metrics, and mortality; Or (h) the list of medical professionals in step (c) (iii ") (b") (2 ") is visually distinguished by clinical results.

[00021] In some embodiments, the one or more bundles of predetermined patient care services provide a predetermined care process, cost certainty for condition treatment, or both.

[00022] In some embodiments, the method further comprises identifying a best clinical outcome at a minimum care cost in the CNA by ranking both the clinical outcome and the care costs in one or more bundles of predetermined patient care services.

[00023] In some embodiments, the visual distinction of the list of medical professionals by clinical outcome is: (a) green, which shows better clinical results than average; (b) yellow indicating average clinical outcome; And (c) red that exhibits poorer clinical results than average.

[00024] In some embodiments, the method includes, with permission from the patient and the selected healthcare professional: the patient's personal health information includes a fourth clinical result tracking and analysis module in a medical professional's office selected from the first clinical result tracking and analysis module To the computing device.

[00025] In some embodiments, the behavior variation data for each healthcare provider of each CNA in (c) contributes to a disadvantageous variation of the care care provider for the patients of each CNA at key points during treatment, Of care needed and unnecessary care.

[00026] In some embodiments, the method further includes the step (d) indicating that the service is for diagnostic or therapeutic purposes of the medical condition.

[00027] In some embodiments, the cost report includes: comparing the average cost per physician with the profits; Or hospital contribution margins in dollar and percent comparisons; Or hospital average earnings per patient; Or hospital average cost per patient; Or average cost per case, weight peer average for each physician; Or the average cost of imaging, laboratory work, assessment and management; Medicines, medical supplies and other costs for each physician; Or a combination thereof.

[00028] In some embodiments, the parameters selected by the payer include variables identifying certain attributes of the personal health information as a set of desired characteristics; One or more attributes added to the personal health information by the payer to identify each patient ' s personal health information as being of the same level of importance as other health information in the patient population database, or both.

[00029] According to another aspect, the described invention provides a system for improving clinical outcomes at a particular patient level and reducing total care costs at a population level, the system comprising: (A) personal health information about the population of human subjects and A database containing data; A first clinical result tracking and analysis module communicatively linked to a database and a network; And a memory for storing computer program instructions; (B) a first client device comprising a processing unit, a memory and a second clinical result tracking and analysis module communicatively linked to a first clinical result tracking and analysis module of the processor of the computer server; And (C) a second client device including a processing unit, a memory, and a third clinical result tracking and analysis module communicatively linked to a first clinical result tracking and analysis module of the processor of the computer server; (A) causes a first clinical outcome tracking and analysis module to perform the following operations when executed on a processor: (a) grouping patients in a patient population to account for preceding biological variation (I) receive personal health information from each patient in the patient population, and (ii) receive personal health information from each patient within the patient population, Collecting and recording in a database, wherein the personal health information includes information that affects survival, prognosis, or treatment based on respective parameters and latest scientific knowledge or medical guidelines that characterize each patient within the patient population; (ii) classifying personal health information for each patient within the patient population using a classification filter to provide a categorized set of personal health information for the population and identifying patients satisfying each parameter in the patient population; and; (iii) identify individual similar health information, and generate and assign multiple clinical outcome tracking and analysis nodal addresses (CNAs) within the first clinical outcome tracking and analysis module, Grouping the types of patients in the population and generating and allocating multiple CNAs: (1) a prefix that represents a set of preselected variables that divides the categorized and separated information into a clinically relevant set of health information, Expressing each CNA with a punctuated column of discrete digits containing the middle and suffixes; (2) enable analysis of the resulting clinical and cost result variability from the ideal value expressed as the best clinical outcome at the first action and then at the lowest possible cost, at the required time to avoid unnecessary care and avoid unnecessary care Based on the punctuated column of discrete digits representing each CNA that makes it possible to reduce an enormous amount of possible permutations to a reduced number of clinically meaningful permutations thereby increasing the care value - Implies better clinical outcomes at cost; (3) reducing processing requirements and processing time to make efficient real-time monitoring of healthcare provider performance based on the number of discrete digits implying punctuation marks representing each CNA and reduction of permutations; And (4) stopping the treatment flow to avoid predicting over / under utilization of care to enable prediction of key points of potential behavior variation and prevent behavioral changes; (iv) measuring the clinical outcome for each CNA by analyzing a clinically relevant set of personal health information for a subset of the patient population for one or more patients within a subset of the patient population; And (v) comparing the differences between one medical care provider and the other medical care provider in terms of treatment, testing, follow-up, compliance and cost of prescribed medications for each patient within the patient population assigned to each CNA By measuring behavioral variability for each medical care provider of each patient within the patient population assigned to the CNA of the patient; (b) receiving from the payer a second clinical result tracking and analysis module that identifies the health care service under consideration for the patient covering the health care services and the parameters selected by the payer, (2 ') (v), behavior variation data for each healthcare provider of each CNA at (1') (iv), 3 ') an expense report comprising real-time cost data for treating each patient in the patient population assigned to the CNA in (iii), and (4') one or more graphical analyzes correlating the cost of care to the clinical outcome To the second clinical outcome tracking and analysis module. The information includes: (a ') considering the potential benefits and harms to the patient, It is; (b) that health care services are effective in improving health outcomes by improving clinical outcomes and reducing total care costs; (c) Compared to alternative health interventions or interventions, the service is cost-effective for the medical condition and clinical outcome being treated; And (d) the payer has established at key points that the service follows a generally accepted medical practice, and the payer is sufficient to approve payment to the medical care provider for medical services; (c) providing sufficient information to assign a patient a complete medical assessment and a CNA to the patient when exchanging a series of communications with the patient via a second client device including a third clinical outcome tracking and analysis module, and Determine an optimal care level with a reduced risk of adverse deviation; And using a CNA to select a healthcare provider and a desired level of CNA-derived care, the series of communications comprising: (i ') a processor of a computer server comprising a first clinical result tracking and analysis module, In response to a first communication from a patient reporting a health concern, a second communication comprising a list of tests needed to diagnose a health concern as a medical condition in response to a first communication comprising a third clinical result tracking and analysis module 2 to the client device; in response to a third communication from the patient comprising the results of the tests required to diagnose a health concern in step (ii ") (i "), a list of additional tests required to further distinguish the medical condition in response And transmitting a fourth communication comprising diagnosis of the medical condition to a second client device comprising a third clinical result and analysis module; (ii "), in response to a fifth communication from a patient comprising results of additional tests at (iii '') (i" Assigning a CNA to a patient from a plurality of CNAs available in (a '') a (iii) based on a list of additional tests at a Containing a set; And (b '') transmitting a sixth communication to a second client device comprising a third clinical result tracking module, wherein the sixth communication comprises: (1 ") an assigned CNA; And (2 ") a geographically organized list of medical professionals treating patients within an assigned CNA, wherein the list of medical professionals is distinguished by one or more of geography, clinical outcome or cost; in response to a seventh communication from a patient selecting an optimal care plan having a medical professional meeting at least one of the reduced risk of adverse deviation (iv ") and the patient's geographic, cost and outcome needs, And communicatively linking to a computing device comprising a third clinical result tracking and analysis module in a selected medical professional's office to enable scheduling appointments of the expert and the patient.

[00030] In some embodiments, the parameters of the classification in (a) (a) (ii) may include gender, age, ethnicity, complication, tobacco use, insurance source, medical record number, primary care physician, Service providers, disease-specific clinical molecular phenotypes, therapeutic intentions, therapy steps, biomarkers, and care costs; Or (b) the set of preselected variables in (a) (iii) (1) comprises a disease-specific clinical molecular phenotype; or a digit column representing a phenotype is determined based on a directional graph; Or (c) the key points in steps (a), (iii) (4) and (b) (i ') (4') are diagnostically, progressively, At the time of drug change; Depending on the toxicity, and the tendency to fluctuate from the desired result; Or (d) (b) The correlation of care costs to the clinical stage in (1 ') (4') is dependent on the incidence of toxicity, severity of toxicity; therapy; And correlating one or more of the cost of care and the quality of life to the care outcome; Or (e) reception of a transmission from a client device in (b) or (c) is via a human user or a technical process; Or (f) the assigned CNA in (c) (iii ") (b") (1 ") is associated with one or more bundles of predetermined patient care services for treatment of the condition; Or (g), (c) (iii ") (b") (2 ") is based on the accepted therapy, the intensity of the delivered dose, the dose interval, the duration of the dose, Metrics, toxicity to therapy, progression-free survival, overall survival, response metrics, and mortality; Or (h) the list of medical professionals in step (c) (iii ") (b") (2 ") is visually distinguished by clinical results.

[00031] In some embodiments, the one or more bundles of predetermined patient care services provide a predetermined care process, cost certainty for condition treatment, or both.

[00032] In some embodiments, the system further includes identifying the best clinical outcome at the lowest care cost in the assigned CNA by ranking both the clinical outcome and care costs in one or more bundles of predetermined patient care services.

[00033] In some embodiments, the visual distinction of the list of medical professionals by clinical outcome is: (a) green, which shows better clinical results than average; (b) yellow indicating average clinical outcome; And (c) red that exhibits poorer clinical results than average.

[00034] In some embodiments, the system includes a fourth clinical result tracking and analysis module in a medical professional's office selected from the first clinical result tracking and analysis module, with permission from the patient and the selected healthcare professional Lt; / RTI > to the computing device.

[00035] In some embodiments, the behavior variation data for each healthcare provider of each CNA in (c) contributes to a disadvantageous variation of the care care provider for the patients of each CNA at key points during treatment, Of care needed and unnecessary care.

[00036] In some embodiments, the system further includes indicating that the service is for diagnostic or therapeutic purposes of the medical condition.

[00037] In some embodiments, the cost report includes: comparing the average cost per physician with the profits; Or hospital contribution margins in dollar and percent comparisons; Or hospital average earnings per patient; Or hospital average cost per patient; Or the average cost per case for each physician, weight feature average; Or the average cost of imaging, laboratory work, assessment and management; Medicines, medical supplies and other costs for each physician; Or a combination thereof.

[00038] In some embodiments, the parameters selected by the payer include variables identifying certain attributes of the personal health information as a set of desired characteristics; One or more attributes added to the personal health information by the payer to identify each patient ' s personal health information as being of the same level of importance as other health information in the patient population database, or both.

[00039] According to another aspect, the present invention described is a computer system comprising (A) a computer including a processor including a medical care provider, a first clinical result tracking and analysis module, a communication link to a first clinical outcome tracking and analysis module via a network, A first client device including a second clinical result tracking and analysis module, and a payer; And (B) a computer including a processor including a first clinical outcome tracking and analysis module, a third clinical outcome tracking and analysis module communicatively linked to the first clinical outcome tracking and analysis module via a network, Temporal computer readable medium storing computer program instructions for enabling interactions between a patient, a client device, and a patient, the computer program instructions being executable on a processor comprising a first clinical result tracking and analysis module, When executed, causes a first clinical outcome and a tracking module to perform operations comprising the following operations: (a) describing preceding biological changes by grouping patients in a patient population, thereby causing biological changes As an element of care value, you can effectively remove, (I) receive and collect personal health information from each patient within the patient population and record them in a database; and the personal health information includes each parameter that characterizes each patient within the patient population, and the latest Includes information that affects survival, prognosis, or treatment based on scientific knowledge or medical guidelines; (ii) providing a categorized set of personal health information for the population, and using the classification filter to identify patients that meet the respective parameters in the patient population, the individual health information for each patient within the patient population Classify; (iii) a patient population based on personal health information associated with the patient population by identifying similar personal health information and generating and assigning multiple clinical outcome tracking and analysis nodal addresses (CNAs) within the first clinical outcome tracking and analysis module; Grouping the types of patients in the patient and generating and assigning the plurality of nodal addresses comprises: (1) prefixing a set of preselected variables that divides the classified and clinically divided information into a clinically relevant set of health information Expressing each CNA with a punctuated column of discrete digits containing the middle and suffixes; (2) enable analysis of the resulting clinical and cost result variability from the ideal value expressed as the best clinical outcome at the first action and then at the lowest possible cost, at the required time to avoid unnecessary care and avoid unnecessary care Based on the punctuated column of discrete digits representing each CNA that makes it possible to reduce an enormous amount of possible permutations to a reduced number of clinically meaningful permutations thereby increasing the care value - Implies better clinical outcomes at cost; (3) reducing processing requirements and processing time to make efficient real-time monitoring of healthcare provider performance based on the number of discrete digits implying punctuation marks representing each CNA and reduction of permutations; And (4) stopping the treatment flow to avoid predicting over / under utilization of care to enable prediction of key points of potential behavior variation and prevent behavioral changes; (iv) measuring clinical results for each nodal address by analyzing a clinically relevant set of personal health information for a subset of the patient population for one or more patients within a subset of the patient population; And (v) comparing the differences between one medical care provider and the other medical care provider in terms of treatment, testing, follow-up, compliance and cost of prescribed medications for each patient within the patient population assigned to each CNA By measuring behavioral variability for each medical care provider of each patient within the patient population assigned to the CNA of the patient; (b) a second clinical result tracking and analysis module from a first payer identifying communications to health care services under consideration for a patient covering health care services and parameters selected by the payer (1 ') the clinical outcome data for each CNA in (iv), the behavior variation data for each healthcare provider of each CNA in (2') (v) And (4 ') one or more graphical analyzes that correlate the care costs to the clinical outcome, and (4') a cost report comprising real-time cost data for treating each patient in the patient population assigned to the CNA in To the second clinical outcome tracking and analysis module, the information comprising: (a ') considering the potential benefits and harms to the patient, It is called; (b) that health care services are effective in improving health outcomes by improving clinical outcomes and reducing total care costs; (c) Compared to alternative health interventions or interventions, the service is cost-effective for the medical condition and clinical outcome being treated; And (d) the payer has established at key points that the service follows a generally accepted medical practice, and the payer is sufficient to approve payment to the medical care provider for medical services; (c) providing sufficient information to assign a patient a complete medical assessment and a CNA to the patient when exchanging a series of communications with the patient via a second client device including a third clinical outcome tracking and analysis module, and Determine an optimal care level with a reduced risk of adverse deviation; And using a CNA to select a healthcare provider and a desired level of CNA-derived care, the series of communications comprising: (i ') a processor of a computer server comprising a first clinical result tracking and analysis module, In response to a first communication from a patient reporting a health concern, a second communication comprising a list of tests needed to diagnose a health concern as a medical condition in response to a first communication comprising a third clinical result tracking and analysis module 2 to the client device; in response to a third communication from the patient comprising the results of the tests required to diagnose a health concern in step (ii ") (i "), a list of additional tests required to further distinguish the medical condition in response And transmitting a fourth communication comprising diagnosis of the medical condition to a second client device comprising a third clinical result and analysis module; (ii "), in response to a fifth communication from a patient comprising results of additional tests at (iii '') (i" Assigning a CNA to a patient from a plurality of CNAs available in (a '') a (iii) based on a list of additional tests at a Containing a set; And (b '') transmitting a sixth communication to a second client device comprising a third clinical result tracking module, wherein the sixth communication comprises: (1 ") an assigned nodal address; And (2 ") a geographically organized list of medical professionals treating patients within an assigned CNA, wherein the list of medical professionals is distinguished by one or more of geography, clinical outcome or cost; in response to a seventh communication from a patient selecting an optimal care plan having a medical professional meeting at least one of the reduced risk of adverse deviation (iv ") and the patient's geographic, cost and outcome needs, And communicatively linking to a computing device comprising a third clinical result tracking and analysis module in a selected medical professional's office to enable scheduling appointments of the expert and the patient.

[00040] In some embodiments, the parameters of the classification in (a) (a) (ii) may include gender, age, ethnicity, complication, tobacco use, insurance source, medical record number, primary care physician, Service providers, disease-specific clinical molecular phenotypes, therapeutic intentions, therapy steps, biomarkers, and care costs; Or (b) the set of preselected variables in (a) (iii) (1) comprises a disease-specific clinical molecular phenotype; or a digit column representing a phenotype is determined based on a directional graph; Or (c) the key points in steps (a), (iii) (4) and (b) (i ') (4') are diagnostically, progressively, At the time of drug change; Depending on the toxicity, and the tendency to fluctuate from the desired result; Or (d) (b) The correlation of care costs to the clinical stage in (1 ') (4') is dependent on the incidence of toxicity, severity of toxicity; therapy; And correlating one or more of the cost of care and the quality of life to the care outcome; Or (e) reception of a transmission from a client device in (b) or (c) is via a human user or a technical process; Or (f) the assigned CNA in (c) (iii ") (b") (1 ") is associated with one or more bundles of predetermined patient care services for treatment of the condition; Or (g), (c) (iii ") (b") (2 ") is based on the accepted therapy, the intensity of the delivered dose, the dose interval, the duration of the dose, Metrics, toxicity to therapy, progression-free survival, overall survival, response metrics, and mortality; Or (h) the list of medical professionals in step (c) (iii ") (b") (2 ") is visually distinguished by clinical results.

[00041] In some embodiments, the one or more bundles of predetermined patient care services provide a predetermined care process, cost certainty for condition treatment, or both.

[00042] In some embodiments, the non-transitory computer readable medium may be configured to identify the best clinical outcome at the lowest care cost in the assigned CNA by ranking both the clinical outcome and the care costs in one or more bundles of predetermined patient care services .

[00043] In some embodiments, the visual distinction of the list of medical professionals by clinical outcome is: (a) green, which shows better clinical results than average; (b) yellow indicating average clinical outcome; And (c) red that exhibits poorer clinical results than average.

[00044] In some embodiments, the non-transitory computer-readable medium may be adapted to receive patient ' s personal health information from a patient and selected medical professionals with a fourth clinical result in a medical professional's office selected from a first clinical result tracking and analysis module Tracking and analysis module to the computing device.

[00045] In some embodiments, the behavior variation data for each healthcare provider of each CNA in (c) contributes to a disadvantageous variation of the care care provider for the patients of each CNA at key points during treatment, Of care needed and unnecessary care.

[00046] In some embodiments, the non-transitory computer readable medium further comprises indicating that the service is for diagnostic or therapeutic purposes of a medical condition.

[00047] In some embodiments, the cost report includes: comparing the average cost per physician with the profits; Or hospital contribution margins in dollar and percent comparisons; Or hospital average earnings per patient; Or hospital average cost per patient; Or the average cost per case for each physician, weight feature average; Or the average cost of imaging, laboratory work, assessment and management; Medicines, medical supplies and other costs for each physician; Or a combination thereof.

[00048]  In some embodiments, the parameters selected by the payer include variables identifying certain attributes of the personal health information as a set of desired characteristics; One or more attributes added to the personal health information by the payer to identify each patient ' s personal health information as being of the same level of importance as other health information in the patient population database, or both.

[00049] These and other aspects and embodiments will be apparent to those skilled in the art with reference to the following detailed description and the accompanying drawings.

[00050] In the drawings, the drawings are not exhaustive, and like reference numerals denote like elements throughout the several views.
[0010] Figure 1 illustrates a block diagram of some of the pressures in the oncology market and examples of some potential solutions.
[0011] FIG. 2 illustrates a block diagram of a server computer communicating with one or more user computers over a network to provide a clinical outcome tracking and analysis (COTA) module to one or more user computers in accordance with an embodiment of the present disclosure. For example.
[0012] FIG. 3 is a block diagram illustrating some of the functions provided by the COTA module in accordance with an embodiment of the present disclosure.
[0013] FIG. 4A is a block diagram illustrating use of a COTA module to classify data associated with colorectal cancer patients in accordance with the present disclosure.
[0014] FIG. 4B is a flow diagram of a COTA module for classifying data through specific node creation in accordance with an embodiment of the present disclosure.
[0015] FIG. 4C is a block diagram illustrating a directional graph for determining a digit column representing a phenotypic characteristic for nodal addressing in accordance with an embodiment of the present disclosure.
[0016] FIG. 5A is a flowchart illustrating steps performed by a COTA module in accordance with an embodiment of the present disclosure.
[0017] FIG. 5B is a flow chart illustrating steps that enable diagnosis of a patient as a condition for optimizing treatment options according to embodiments of the present disclosure.
[0018] FIG. 6 illustrates a flow diagram of a COTA module that sends alerts in response to triggers in accordance with an embodiment of the present disclosure.
[0019] FIG. 7 is a graphical representation illustrating a mobile device that organizes received alerts in accordance with an embodiment of the present disclosure.
[0020] FIG. 8 illustrates a graphical representation of disease outbreak by cancer subtype according to an embodiment of the present disclosure.
[0021] FIG. 9 is a graphical representation of an improved search by variables input to the COTA module in accordance with an embodiment of the present disclosure.
[0022] FIG. 10 illustrates listing of a plurality of variables appropriate to a particular disease according to an embodiment of the present disclosure.
[0023] FIG. 11 depicts graphical representations including real-time Kaplan-Meier curves with confidence intervals for pancreatic cancers according to an embodiment of the present disclosure.
[0024] Figure 12 is a graphical representation illustrating Kaplan-Meier curves due to disease progression in accordance with an embodiment of the present disclosure.
[0025] FIG. 13 is a graphical representation of real-time benchmarking of results between two parties in accordance with an embodiment of the present disclosure.
[0026] Figure 14 is a graphical representation of a cost report in accordance with one embodiment of the present disclosure.
[0027] Figures 15A and 15B are graphical representations of a treatment interface according to an embodiment of the present disclosure.
[0028] FIG. 16 is a graphical representation of a result screen according to an embodiment of the present disclosure.
[0029] FIG. 17 is a graphical representation of a treatment detail report screen in accordance with an embodiment of the present disclosure.
[0030] Figure 18 is a graphical representation of an analysis screen comparing toxicity and cost according to an embodiment of the present disclosure.
[0031] Figure 19 is a graphical representation of an analysis screen comparing quality of life and therapy according to an embodiment of the present disclosure.
[0032] FIG. 20 is a flow diagram of feedback support provided to a medical professional in accordance with an embodiment of the present disclosure.
[0033] Figures 21 - 23 illustrate embodiments of graphical representations for different diagnostic types according to embodiments of the present disclosure.
[0034] FIG. 24 depicts graphical representations illustrating data generation and classification of COTA modules for breast cancer in breast cancer from 2008-2013 with invasive duct carcinoma according to an embodiment of the present disclosure.
[0035] Figure 25 depicts graphical representations illustrating data generation and classification of COTA modules for Breast Oncology-Breast Cancer at the 2008-2013 tumor grade and stage in accordance with embodiments of the present disclosure.
[0036] FIG. 26 depicts a graphical representation illustrating data generation and classification of a COTA module for breast cancer-stage IIB from 2008 to 2013 in accordance with an embodiment of the present disclosure.
[0037] Figure 27 depicts graphical representations illustrating overall survival results for breast cancer patients according to embodiments of the present disclosure.
[0038] FIG. 28 shows graphical representations illustrating results for breast cancer-a comparison between two parties, in accordance with an embodiment of the present disclosure.
[0039] FIG. 29 depicts an example of a schematic diagram illustrating a client device in accordance with an embodiment of the present disclosure.
[0040] FIG. 30 is a block diagram illustrating an internal architecture of a computer in accordance with an embodiment of the present disclosure.
[0041] Figure 31 is a flow chart illustrating a patient side of a CNA-induced care according to an embodiment of the present disclosure for a patient with breast cancer.
[0042] FIG. 32 is a block diagram illustrating advantages of two aspects of a CNA induction care. Provider - PayPal is the removal of pre-certification for testing, diagnosis and care selection; Enabling the elimination of the need for introductions to optimize the charges for pre-authorization and service-based reimbursement and to move charges for the service to the risk-based reimbursement. The patient aspect of a patient with CNA induction care performs three things: first, providing information to the patient so that the patient can perform a complete assessment of his condition (e.g., physical assessment, laboratory assessment, imaging Etc.); Second, show patient treatment options for conditions that optimize care and reduce the risk of adverse deviations; And third, demonstrate to the patient a physician within his or her area who follows CNA induction care and has the best results with acceptable care costs.

[0043] Embodiments are now discussed in further detail with reference to the drawings attached hereto. In the accompanying drawings, like and / or corresponding elements are referred to by like reference numerals.

[0044] Various embodiments are disclosed herein; It should be understood, however, that the disclosed embodiments and illustrated user interfaces are merely illustrative of the present disclosure, which may be embodied in various forms. Moreover, each of the examples given in connection with the various embodiments is intended to be illustrative rather than limiting. In addition, the drawings are not necessarily exhaustive, and some features may be exaggerated to illustrate details of particular components (and any size, material, and similar details shown in the drawings may, without limitation, / RTI > Therefore, the specific structural and functional details disclosed herein are not to be construed as limitations, but merely as a representative basis for teaching those skilled in the art to variously utilize the disclosed embodiments.

[0045] The present invention is described below with reference to block diagrams and operational examples of devices and methods for selecting and presenting media related to a particular subject matter. It is understood that each block of block diagrams or operation examples, and combinations of blocks or blocks of operation illustrations, may be implemented by analog or digital hardware and computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, ASIC or other programmable data processing apparatus so that instructions executed via a processor of a computer or other programmable data processing apparatus may be stored in block diagrams or block diagrams Or functions / operations specified in blocks.

[0046] In some alternative implementations, the functions / operations noted in the blocks may occur out of the order noted in the operating examples. For example, depending on the functionality / operations involved, the two blocks shown in succession may actually be executed substantially concurrently, or the blocks may sometimes be executed in reverse order. In addition, embodiments of the methods set forth and described in the context of the present disclosure are provided by way of example in order to provide a more thorough understanding of the techniques. The disclosed methods are not limited to the operations and logic flow presented herein. Alternative embodiments are contemplated in which the order of the various operations is changed and the sub-operations described as being part of a larger operation are performed independently.

[0047] Although described in terms of cancer conditions, the clinical outcome described clinical analysis can be used to assess the severity of any clinical condition (e.g., cardiovascular disease, metabolic disease (diabetes), immune mediated diseases (such as Lupus, rheumatoid arthritis) Degenerative disorders, lung diseases, infectious diseases, hepatic disorders, behavioral health). The physician will know the parameters of each such condition.

[0048] Throughout the specification and claims, terms may have nuanceal meanings suggested or implied in context beyond explicitly stated meanings. Likewise, the phrase "in one embodiment" is not necessarily referring to the same embodiment, and the phrase "in another embodiment" For example, it is contemplated that the claimed subject matter may include combinations of all or some of the exemplary embodiments.

[0049] In general, terminology can be understood, at least in part, from its use in context. For example, terms such as "and" or "or" and / or ", as used herein, may include various meanings that may at least partially depend on the context in which such terms are used. Typically, "or" when used to relate a list, such as A, B, or C, refers to A, B, and C used in the generic sense herein, as well as A, B, or C Quot; is intended to mean < / RTI > Moreover, the term "one or more" as used herein, at least in part on context, may be used to describe any feature, structure, or characteristic in the singular sense, or may include features, Can be used to explain. Similarly, terms such as "singular" or "again" may be understood as conveying singular or at least multiple uses depending at least in part on context. In addition, the term "underlying" can be understood as not necessarily intended to convey a set of exclusive elements, but instead is dependent, at least in part, on the presence of additional elements . ≪ / RTI >

[0050] The pharmaceutical industry has placed most of its research and development (R & D) investments in oncology specialty compounds in the leading category. For example, about 30-35% of the three-phase pipeline is endophytic. These compounds are highly targeted and specialized therapies based on the latest scientific advances and will require different commercial and development models than exist today. Current structures in the pharmaceutical industry are typically inefficient and may not be supported by their future products.

[0051] Diagnostic companies developing new accompanying diagnostic tests for next-generation therapies will need new ways to educate physicians and efficient sales and flow channels.

[0052] In the United States, the reimbursement model will likely change from a paid service model to a value-based payment model. The Affordable Care Act has accelerated certain elements of this (eg, accountable care organizations (ACOs) and patient centered medical home (PCMH) models for primary care) and specialized fields (eg orthopedic The payer activity is directed to bundling payments. Currently, the paid service payment model is not sustainable for governments, employers, other payers and / or physicians. Many physicians have also found that the economics of paid service models are unsustainable. As indicated above, governments are likely to move to value-based payment models.

[0053] 1 illustrates a block diagram of an example of some of the pressures in the endopharmaceutical market and some potential solutions, for example. Tumor specialists (105) are faced with financial pressure, many are unable to continue their business with their current models, and many are looking for new leverage schemes. Potential oncology solutions 110 include new payment models such as bundles and total amount. Pharmaceutical companies (shown as "Pharma") 115 typically have most or all of their oncology pipelines as highly targeted therapies. In addition, the era of blockbuster drugs is likely to end. In addition, the "old-generation" business model may no longer be appropriate and may be too expensive. Possible pharmaceutical solutions 120 include patient identification and changing business models. Health insurers 125 are increasingly in need of "managing" oncology in general. Also, there are no internally trusted tools or capabilities to perform this management. In addition, health professionals, such as doctors, can not join health insurance. Potential health insurance solutions 130 include new payment models (e.g., bundles) and cost controls.

[0054] 2 is a block diagram of an exemplary embodiment of a computer outcome tracking and analysis (COTA) module 220 according to one embodiment, referred to as a user computer (also referred to herein as a client device) 210 and / (Also referred to below as server 205) that communicates with user computer 210 and user computer 230 over network 215 to provide a user interface do. The server 205 may create and / or serve web pages to be displayed by the user computer 210 and / or a browser (not shown), for example, of the user computer 230 via the network 215. In one embodiment, the COTA module 220 is a web page (or part of a web page) and is therefore accessed by a user of the user computer 210 and / or the user computer 230 via a web browser. In another embodiment, the COTA module 220 is a software application, such as a mobile "app," which may be downloaded from the server computer 205 to the user computer 210 and / In a further embodiment, the COTA module 220 provides a user interface that enables the functionality described herein.

[0055] A computing device such as a server computer 205, a user computer 210 and a user computer 230 may be capable of transmitting or receiving signals, such as via a wired or wireless network, or may be capable of receiving signals Processing, or storage. Devices capable of operating as a server include, by way of example, dedicated rack-mounted servers, desktop computers, laptop computers, set top boxes, various devices, such as integrated devices that combine with more than one of the above- And the like. Servers may include one or more central processing units and memory, although the configurations or capabilities may vary widely. The server may also include one or more mass storage devices, one or more power supplies, one or more wired or wireless network interfaces, one or more input / output interfaces or one or more operating systems, such as Windows® Server, Mac® OS X®, Unix ®, Linux®, FreeBSD®, and others.

[0056] The server 205 may include a device including a configuration for providing content to other devices over a network. Server 205 may host a site, such as a social networking site, and examples of social networking sites may include, without limitation, Flickr®, Twitter®, Facebook®, LinkedIn®, or a personal user site (such as a blog, vlog, etc.). The server 205 may also host various other sites including, but not limited to, business sites, educational sites, dictionary sites, encyclopedia sites, wiki kits, financial sites, government sites, .

[0057] The server 205 may further include other services such as web services, third party services, audio services, video services, email services, instant messaging services, SMS services, MMS services, FTP services, VOIP (e.g., but not limited to) voice over IP (VoIP) services, schedule services, photo services, and the like. Examples of content may include text, images, audio, video, etc. that may be processed in the form of physical signals, such as electrical signals, or may be stored in memory, e.g., in physical states. Examples of devices that may operate as a server include desktop computers, multiprocessor systems, microprocessor-type or programmable consumer electronics, and the like.

[0058] In one embodiment, the server 205 hosts or communicates with the database 240. The database 240 may be stored locally or remotely on the server 205. In one embodiment, the COTA module 220 accesses, retrieves, or classifies data stored in the database 240. The COTA module 220 may also retrieve information from the network 215 (e.g., from the Internet). The database 240 may store patient data or other appropriate medical information. For example, data entered into the database or COTA module 220 may come from experts in their respective fields (e.g., oncologists with experience of 5, 10, 15, 20, 30 years, etc.). The data may be entered manually or automatically into the database 240 and / or the COTA module 220.

[0059] For example, the network may couple devices such that communications may be exchanged between the server and the client device or between other types of devices, including between wireless devices coupled through a wireless network, for example. The network may also include a mass storage, such as a network attached storage (NAS), a storage area network (SAN), or other form of computer or machine readable media. The network may include the Internet, one or more local area networks (LANs), one or more wide area networks (WANs), wired-line type connections, wireless type connections, or any combination thereof. Likewise, for example, sub-networks may utilize different architectures, be compliant or compatible with different protocols, and be integrated within a larger network. Various types of devices may be made available, for example, to provide interoperability capabilities for different architectures or protocols. As an illustrative example, a router may otherwise provide a link between separate, independent LANs.

[0060] The communication link or channel may be, for example, analog telephone lines, such as full or partial digital lines including twisted pair, coaxial cable, T1, T2, T3 or T4 type lines, Integrated Services Digital Networks (ISDN) ), Wireless links including satellite links, or other communication links or channels that may be known to those skilled in the art. In addition, the computing device or other associated electronic devices may be remotely coupled to the network, such as via a telephone line or link.

[0061] The wireless network may couple client devices with the network. The wireless network may utilize stand-alone ad-hoc networks, mesh networks, WLAN (Wireless LAN) networks, cellular networks, and the like. The wireless network may further include those coupled by systems, gateways, routers or wireless radio links of terminals, or may be free, randomly moveable, or may themselves be arbitrarily organized so that the network topology Can sometimes change even quickly. The wireless network may further include a plurality of network access technologies including Long Term Evolution (LTE), WLAN, Wireless Router (WR) mesh or second, third, fourth generation (2G, 3G or 4G) Can be used. Network access technologies can enable wide coverage for devices, such as client devices, for example, with varying degrees of mobility.

[0062] For example, the network may include one or more network access technologies, such as Global System for Mobile communications (UMTS), Universal Mobile Telecommunications System (UMTS), General Packet Radio Services (GPRS), Enhanced Data GSM Environment (EDGE) Evolution), LTE Advanced, Wideband Code Division Multiple Access (WCDMA), Bluetooth, and 802.11b / g / n. A wireless network may comprise virtually any type of wireless communication mechanism in which signals may be communicated between devices, such as between a client device or computing device, between networks, or within a network.

[0063] In one embodiment and as described herein, the user computer 210 and / or the user computer 230 are smartphones. In another embodiment, the user computer 210 and / or the user computer 230 are tablets. The user computer 210 and / or the user computer 230 may also be a computer, a music player, a set top box, a smart TV, or any other computing device capable of transmitting information.

[0064] The COTA module 220 can establish an efficient way to manage patients, which results in better results with controlled costs. In one embodiment, the COTA module 220 is a connector or interface between third parties and medical professionals (e.g., a tumor specialist). In one embodiment, the COTA module 220 is an analysis tool that classifies cancer into the highest levels of clinical and molecular fidelity. The COTA module 220 then tracks the results in real-time, such as overall survival rate (OS), progression-free survival rate (PFS), and cost.

[0065] The overall survival rate may be the endpoint of the trial, which is generally expressed as a time period (survival duration), e.g., months. Often, the median value is used so that the test endpoint can be calculated when 50% of the subjects reach the endpoint. An example is the disease-free survival rate commonly used to analyze the outcome of treatment for localized disease that apparently makes the disease sick to the patient, such as surgery or surgery and assisted therapy. In the disease-free survival rate, the event is recurrence rather than death. Those who recur are still alive, but they are no longer considered disease-free.

[0066] The progression-free survival rate is the length of time during and after drug care or treatment where the treated disease (e.g., cancer) does not deteriorate. Sometimes it is used as a metric to study the health of a person with a disease so as to determine how well the new treatment works.

[0067] As used herein, the term "real-time" or "real time" means that there is no perceptual delay or information delivered immediately after acquisition or processing. These terms also include time delays introduced by automated processing (e.g., near-real time).

[0068] In one embodiment, the COTA module 220 may alert a user of the user computer 210 and / or the user computer 230 (e.g., a medical professional) at key moments to provide relevant information. The COTA module 220 may also enable communication and collaboration between content providers (e.g., by medical professionals) with healthcare professionals. In one embodiment, the COTA module 220 may allow healthcare professionals to execute contracts at risk (e.g., bundled payments) with payer.

[0069] Although the COTA module 220 is described herein with respect to cancer, the COTA module 220 may be advantageously utilized to manage any disease or condition.

[0070] In one embodiment, the description elements of the COTA include classification, result tracking, performance status / quality of life metrics, toxicity to therapy and care costs.

[0071] 3 is a block diagram illustrating functions 300 provided by the COTA module 220 in accordance with one embodiment.

[0072] In one embodiment, the COTA module 220 performs a COTA classification 310 that identifies patients that satisfy one or more parameters. The parameters may include, for example, demographic parameters such as gender, age, ethnicity, complications, tobacco use, medical record number, insurance source, primary care health care professional, referral health care professional, hospital, Disease specific clinical and molecular phenotypes, therapeutic intentions, therapy steps for disease progression, and biomarkers. The parameters may be simple indicators (e.g., positive, negative, not accessed), numeric based parameters (e.g., tumor size), standards based parameters (e.g., tumor grade) The parameters may be received by the COTA module 220 as a user selected input. Because each patient has different mortality, morbidity, treatments, and costs, patients can be classified at the highest level of clinical and / or molecular fidelity at the time of diagnosis (310). The term "highest level of clinical and / or molecular fidelity" refers to the highest level of patient information available according to the latest scientific and / or medical guidelines as permitted in the appropriate field. For example, if there are 10 tests available, for example, for lung cancer, the results of 10 tests show the highest level of fidelity for lung cancer. The COTA module 220 can classify patients with lung cancer with any combination of these ten results. The COTA module 220 may include additional scientific and / or medical guidelines because they are accommodated in their appropriate field. In one embodiment, the COTA module 220 collects all information that affects patient survival and / or prognosis and / or treatment based on current optical and / or medical guidelines.

[0073] In addition, the COTA module 220 performs result tracking and analysis (320). The COTA module 220 tracks the results in real time. In one embodiment, the tracing of the element results may be based on parameters such as progression-free survival, overall survival, performance status / quality of life metrics, incidence / severity of toxicity (e.g., , And drug utilization (e.g., delivered dose intensity, dose interval, and duration of therapy). Other types of results are also considered.

[0074] The element ECOG performance status / quality of life metrics refers to how the quality of life of a patient over time can be tracked. This is a demographic parameter that is part of the disease-specific clinical molecular phenotype, the stage of patient health at the onset of therapy, and is within the classification. For example, the comparison of ECOG with the ECOG after therapy (e.g., ECOG of 2) at the beginning of the therapy (e.g., ECOG of 3) reflects the effect of therapy.

[0075]  In one embodiment, exemplary parameters of toxicity to element therapy are incidence and severity. In one embodiment, the COTA enables a risky financial contract between the payer and the provider so that the patient can reduce the variability, waste and inefficiency, but still deliver the intended result.

[0076] The COTA module 220 may also be used to monitor communications, such as alerts 330, in real time from a trending point from key points such as, for example, diagnosis, progression, dose change / drug change / toxicity, and / (E. G., Physicians) (or, in other embodiments, to the patient's insurance company or any other entity). In one embodiment, the COTA module 220 provides alerts to healthcare professionals who identify the particular patient they are searching for. For example, the COTA module 220 may provide a real-time alert to a pharmaceutical company looking for specific (e.g., new) drugs or drug candidates to administer particular patients. Alerts can identify specific patients who are good candidates for a particular drug.

[0077] 4A is a block diagram illustrating classifying data associated with colorectal cancer patients according to one embodiment. Although described for cancer, e.g., colorectal cancer, the description and figures are applicable to any type of disease in which there is data associated with patients in any type of cancer or other embodiment.

[0078] The data 410 may be representative of all the cancers (or in other embodiments, more than one type of cancer, or in all other embodiments, all of the cardiovascular diseases, pulmonary diseases, gastrointestinal disorders, neurological disorders, etc.) And this data 410 is narrowed down to, for example, a subset 420 related to colon cancer. Subsequently, in one embodiment, a subset 420 of data related to colorectal cancer is analyzed and classified by the COTA module 220 to generate a sorted colon cancer dataset 430. The classified colorectal cancer data set 430 may include one or more groups, each group containing data associated with patients having the same type of particular colorectal cancer. Thus, the COTA module 220 enables classification of the cancer with the highest level of fidelity.

[0079] Typically, patient information is stored in electronic medical records (EMRs). However, EMRs often contain too much information, and therefore it is difficult for medical professionals to find specific information of interest from the large amount of information stored in EMRs. In addition, most of the information in EMRs is not related to the information that medical professionals are searching for. Unlike EMRs where the goal is to capture all or most of the data associated with a patient coming to a doctor's office and a patient leaving a doctor's office, the COTA module 220 allows the user to find specific data associated with a particular patient The COTA module 220 is targeted. Thus, the COTA module 220 may classify the data to look for specific specialized information. The data received by the COTA module 220 is typically via a web page and is discrete (e.g., typically provided by a user selecting one or more selections from a drop-down menu or via one or more check boxes).

[0080] The COTA module can classify, classify and enable groups of patients based on these variables, which results in the designation of a unique COTA Nodal Address (CNA) that implements these discriminatory variables. In one embodiment, the data is available to the system via a human user or a technical process, e.g., an API, and the layer (meaning a portion of the application that performs a particular function) in the application is information such as whether the information is correct, Find out what information is missing, what information is missing / blank from the information, how it has been formatted, spelling, etc., correct any problems of the information found up to now, To a set of information. In one embodiment, the CNA is an address for identifying similar data. In one embodiment, the COTA module identifies a relationship between different features in a group, which allows COTA to identify information about any patient in the group. In one embodiment, the set of information in the database is pre-allocated to the CNA. In one embodiment, the COTA module takes a large amount of information including many different attributes, allows the user to identify certain attributes as a set of features, and adds the attribute (s) to the information, That is, this information is the same kind / value as other information. Thus, the nodal address is a number that allows a user to specifically compare similar patients with similar patients. This specificity minimizes the biological variability of the result and results in a greater accuracy of the effect of therapies on the outcome.

[0081] In one embodiment, the user desires to verify personal health information (PHI) from the patient, to verify that it is correct in all ways, and then to allocate the appropriate CNA. As used herein, personal health information (PHI) may be used to identify an individual patient and may include any medical information that is generated, used, or disclosed during the provision of a health care service, such as a diagnosis or treatment, Quot; Examples of personal identifiers in the PHI include, without limitation, all geographical sub-divisions smaller than the state including name, street address, city, county, district, zip code; (Excluding the year) of all dates for dates directly related to the person, including the date of birth, date of entry, date of discharge, date of death, and all ages exceeding 89 years, and any date Elements; Phone numbers; Fax numbers; E-mail addresses; Social security numbers, medical record numbers; Health insurance benefit numbers; Account numbers; Certificates / license numbers; Vehicle numbers and serial numbers including license plate numbers; Device identifiers and serial numbers; Web URLs (Universal Resource Locators); IP (Internet Protocol) address numbers; Biometric identifiers including finger and voice fingerprints; Full face photographic images and any comparable images; And any other unique identification number, feature, or code (but not the unique code assigned by the researcher to encode the data). This PHI is entered into the browser for patient (A). The PHI is sent to the discrimination layer and assigned a CNA, which defines the attributes of the record of the patient (A). A set of patient attributes belonging to the database, i. E., A CNA of this type, is then coupled to the CNA. Once this is done, the next time the user logs in to the application and accesses the database, the database will return all the information of Patient A and the assigned CNA. Thus, the user immediately understands how the patient's symptoms / attributes should be handled, i.e., the user gets a snapshot of how the patient's type relates to other patients in the database.

[0082] FIG. 4B is a flow diagram of COTA classification and classification as described above with specific node creation according to one embodiment. As shown in FIG. 4B, the expert selects variables sex or sex 440 (variable A), race 445 (variable B), ..., and KRAS 450 (variable G). K-Ras is a protein encoded by the KRAS gene in the human body. The normal KRAS gene protein product performs essential functions in normal tissue signaling, and the mutation of the KRAS gene is an important step in the pathogenesis stage of many cancers.

[0083] The COTA module 220 parses the categorized and categorized data 430 for these variables (e.g., variables 440, 445, 450) to create a unique COTA node 455. The COTA module 220 may apply these nodes to the classified and categorized data to provide more clinically relevant results. The nodes are created as a set of preselected variables that are applied to further filter the classified and categorized data. The nodes are represented as nodal addresses indicating preselected variables. The variables may include, for example, diagnoses, demographics, results, phenotypes, and the like. A phenotype is a complex of observable features or characteristics of a person, such as its morphology, development, biochemical or physiological characteristics, biological seasonality, behavior, and behavioral products. The phenotypes arise not only from the expression of human genes, but also from the influences of environmental factors and their interactions. In one embodiment, the variables of the node are selected by experts in the appropriate fields to divide the data into clinically relevant results.

[0084] The COTA node 455 is represented by the nodal address in the COTA module 220. [ In one embodiment, the nodal address is represented as a list of selected variables (as a function of the letters representing the variables and the numbers representing the choices within the variables). For example, as shown in FIG. 4B, the node 455 is shown as a block A1-2 around the female and male variables of the gender variable A (A represents a sex or sex variable and 1- 2 represents female and male patients). Node 455 also includes B1-4, since node 455 includes all of the sub-variables in the selected race variable (shown boxed around all race variables). Node 455 also includes G1 with respect to the KRAS variable, and only Mut + is selected (boxed). Thus, node 455 has a node address of A1-2, B1-4, ..., G1.

[0085] In another embodiment, the node address is represented by a plurality of digit columns separated by periods, and each digit column represents one or more variables (e.g., disease, phenotype, therapy type, progress / Display. For example, a first column may represent a particular disease, a second column may represent a disease type, a third column may represent a subtype of the disease, and a fourth column may represent a phenotype can do. Thus, in this example, the first digit of the column may be 01 indicating cancer, the second digit may be 02 indicating breast oncology, the third digit may be 01 And the fourth column can be 1201 representing a particular feature of the phenotype, so the nodal address is 01.02.01.1201. It should be understood that the nodal address may include any number of digit columns and is not limited to four columns.

[0086] In one embodiment, the column of digits representing the phenotype can be provided by expressing the characteristics of the phenotype as a directional graph. FIG. 4C illustrates, by way of example, a directional graph 460 illustrating features of a phenotype to provide a column of digits representing a phenotype according to one embodiment. The direction graph 460 includes nodes representing the expressions and edges representing the relationship between the nodes. The graph is traced from the root "start" node to the nodes for the selected phenotype. Each edge is associated with a number. The digit column representing the phenotype for the node address is provided as a combination of numbers. For example, the digit column for selected phenotypic characteristics of male and white will be denoted by 11. Combinations of other types may also be used. Advantageously, expressing the features of the phenotype as a directional graph allows the addition of other nodes without changing the overall structure. The shape of the screen is the result of the CNA, and although this shape can be changed, it is desirable to present information.

[0087] The node 455 provides the COTA module 220 with the ability to match the alerts and the specific resources for each of the expressions when relevant. The resources may be information, content, survival support links, and the like. Each patient is separated into one or more nodal addresses. One or more nodes may also be associated with each disease. In one embodiment, the resources are "tagged " with appropriate related nodes. In one embodiment, the nodes are replaceable over time to maintain their current state with scientific / medical advances.

[0088] Each nodal address may be associated with one or more bundles of predetermined patient care services (e.g., treatment plans). Each bundle may also be associated with one or more nodes. The services included in each bundle may be determined by one or more medical professionals, hospitals, groups, insurance companies, etc. to optimize patient care and / or costs. In one example, the bundle may indicate a number of imaging scans, a selection of drugs or drugs, a schedule of when to administer the drugs, a procedure or procedure, the number and frequency of subsequent visits, and the like. Bundling of patient care services can be particularly useful for risk contracts. For example, each bundle corresponding to a nodal address (associated with a particular disease) may have a predetermined cost to allow the user (e.g., physician, patient, etc.) to select the appropriate bundle. The cost may be determined or negotiated based on historical data associated with the particular disease or nodal address. Advantageously, the bundling of services provides the insurance company and / or hospital with a certainty of cost for certain diseases. This also reduces the cost of processing and maintaining records. Additionally, medical professionals will know in advance a predetermined course of treatment that will provide incentives to physicians to obtain better results at the lowest costs.

[0089] The International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD-10) is an international standard for the classification of illnesses, signs and symptoms, abnormalities, complaints, social circumstances and injuries or symptoms classified by the World Health Organization It is the coding of external factors of diseases. These code sets, which are the considered discrimination code sets, are higher level information than some other medical code sets such as Systematized Nomenclature of Medicine (SNOMED) used by federal government systems for electronic exchange of clinical health information. In one advantageous embodiment, the nodal addresses are used to identify treatment procedures instead of using International Classification of Diseases, 10th Revision (ICD-10) codes to identify and treat diseases. This allows, for example, a more efficient treatment process than conventional ICD-10 codes to plan treatment, particularly when, for example, a patient is misdiagnosed.

[0090] 5A is a flow diagram illustrating steps performed by the COTA module 220 in accordance with one embodiment. At step 505, the COTA module 220 collects data records. Each of the data records includes data associated with a disease (e.g., cancer). The data records may include patient data for patients with or previous disease. For example, the data records may include diagnostics, demographics, results, costs, or other suitable information. The data records may be collected from an electronic database (e.g., electronic medical records) provided by a user (e.g., a medical professional, an expert, a specialist, etc.), or any other source. In one embodiment, the COTA module 220 stores data records in a database 240.

[0091] In step 510, the COTA module 220 receives one or more parameters to classify data records. One or more parameters may be received from the user computer 210 as a user selected input. The one or more parameters may include, for example, diagnoses, demographics, results, costs, or any other parameter.

[0092] At step 515, the COTA module 220 sorts data records based on one or more parameters. The classification identifies patients satisfying one or more parameters. Patients are classified into the highest level of clinical and / or molecular fidelity based on the latest scientific and / or medical guidelines accepted in the appropriate field. In one embodiment, the classification is performed in real time.

[0093] In step 520, the segmented and categorized data is filtered according to the nodal address. The nodal address represents the preselected variables by the users to provide a set of clinically relevant patients. In one embodiment, the variables of the nodal address are selected by field experts. The nodal address can be represented by a plurality of digit columns separated by periods. Each column of digits may represent one or more variables (e.g., disease, disease type, disease subtype, phenotypes, or any other related variable). Other expressions of the nodal address are also considered.

[0094] At step 525, data records for clinically relevant patients are analyzed. Analyzing the data records may include tracking clinical results (e.g., in real time) of patients associated with the disease. The results may include, for example, the dose intensity delivered, the therapies received, the dose interval, the duration and duration of the dose, the incidence and severity of the toxicity, cost, progression free survival (PFS), overall survival Speeds, and the like. The COTA module 220 can compare tracked results between patients. The COTA module 220 can also determine, based on the tracing, whether the particular physician associated with the tracked patient will treat the patient according to the treatment techniques of other physicians who have treated other (similar) patients. In one embodiment, the COTA module 220 determines this based on the results of many patients.

[0095] In another embodiment, analyzing the data records may include updating at least some of the data records (e.g., in real time) based on the tracked results. For example, the COTA module 220 can determine if patient ABC is colon cancer, has been prescribed, has taken the drug XYZ for two years, and is now being relieved for the past three years. If the COTA module 220 determines this information from the tracking of the patient ABC, the module 220 may update the data record associated with the patient ABC with this information.

[0096] In other embodiments, analyzing the data records may include performing an analysis to determine patient survival rate, such as by generating a Kaplan-Meier curve, for example. The Kaplan-Meier curve is a curve showing the 5-year survival rate that can be developed, for example, for a single physician (or medical professional) or a group of physicians (or medical professionals). Kaplan-Meier curves can be generated for overall survival and / or progression-free survival. Other types of analyzes are also considered.

[0097] To enable analysis, the COTA module 220 may also include an analysis tool for the user computer 210 and / or the user computer 230. Such an analysis tool may be a user interface accessible via a web page, a tab on an existing web page, a software application, an app, or the like. The user interfaces depicted in the drawings herein are illustrative. The analysis tool can allow a user to compare, analyze, or further classify data records.

[0098] In step 530, the COTA module 220 provides communication based on the analysis. The communication may be in the form of a warning to the user. In one embodiment, the COTA module 220 may communicate the classified and categorized data records and / or the updated data records to the user computer 210 and / or the user computer 230. For example, the COTA module 220 communicates tables, charts, lists, links, etc. that allow the user to access classified or updated data records. In another embodiment, the COTA module 220 may send advertisements (e.g., associated with the data records) to the user computer 210 and / or the user computer 230. In other embodiments, the COTA module 220 can identify a particular patient as a candidate for a particular treatment or drug. This information can be valuable, for example, to pharmaceutical companies, health insurance, managed care consortia, insurers, and the like. The COTA module 220 may send communications to the user computer 210, the user computer 230, or any other entity (e.g., via the network 215).

[0099] The COTA module 220 can be used by many people, experts and / or companies and can be advantageous. For example, and as described above, a highly specialized pipeline of pharmaceutical companies is required to develop new business models for many aspects (e.g., development including 4-step tests / postmarketing, marketing, sales, pricing and contracting) Model. In one embodiment, pharmaceutical company experts can use the COTA module 220 to enable this new business model. For example, the COTA module 220 may match the correct patient to the correct medication. The COTA module 220 may enable accurate patient identification through its classification and nodal addressing capabilities. In one embodiment, the COTA module 220 may be used to determine whether a user (e. G., A pharmaceutical company) can find (e. G., In real time) a candidate Matching function.

[00100] In addition, the COTA module 220 may be useful for health plans. As indicated above, cancer care will likely be more complicated, and it is likely that health plans will not be efficient at maintaining direct management. In one embodiment, health plans outsource cancer care to the COTA module 220 (similar to health plans previously made with pharmacy benefits). This can, for example, reduce their costs by reducing total care costs and providing cost offsets for them, such as by replacing routes, reducing expensive prior authentication infrastructure, and reducing other personnel managing "cancer " . In addition, the provisions of the US Health Insurance Reform Act mention that 85% of premiums should be applied to clinical care-related activities versus administrative costs. In one embodiment, the COTA module 220 provides an analysis interface in connection with billing data to support health plans to manage its oncologists.

[00101] In one embodiment, the COTA module 220 may benefit organizations involved in diagnostic methods or tools. Organizations involved in diagnostic methods or tools, such as those involved in the next generation of gene sequencing, will need efficient training, marketing, and sales / flow channels. Its use may be useful for such organizations because the COTA module 220 can accurately classify and identify patients and send time-based alerts to physicians (or other health care professionals).

[00102] Figure 5B is a flow chart illustrating steps that enable a patient to be diagnosed with conditions for optimizing a patient ' s treatment options, in accordance with an embodiment. The steps of FIG. 5B may be performed by the COTA module 220 running on the server computer 205. The COTA module 220 running on the server computer 205 may interact with a user (e.g., a patient) through a COTA module 220 running on the user computer 210 and / (E. G., A health care professional) through the COTA module 220 running on the computer 230. [ The COTA module 220 may include multiple examples of a COTA module 220 for execution on a server computer 205, a user computer 210 and a user computer 230.

[00103] At step 550, the COTA module 220 running on the server computer 205 receives communications from the patient's user computer 210. For example, the communication may include a patient's treatment options, an indication that he or she is seeking a medical professional, or any other indication. The COTA module 220 running on the server computer 205 is communicatively coupled to a database 240 that includes personal health information about the population of the patients and the database 240 includes or includes patient health information I can not. The COTA module 220 running on the server computer 205 is configured to analyze personal health information stored in the database 240. This analysis may be performed as a pre-processing step prior to receiving the communication from the patient. For example, the COTA module 220 running on the server computer 205 may sort and identify personal health information, assign multiple nodal addresses to each patient in a population of patients, and measure clinical results for each nodal address And can analyze personal health information as described herein by measuring behavioral variability for each medical care provider assigned to each nodal address.

[00104] At step 555, the patient ' s health information is received. Health information may be received from a running COTA module 220 in the user computer 210. The patient ' s health information may include conditions under which the patient is diagnosed. In one embodiment, the condition is selected by patient specificity via the COTA module 220 running on the user computer 210 from the list of available conditions and sublists in the database 240 of the computer server 205 do. The COTA module 220 running on the server computer 205 determines a list of tests to further distinguish the condition based on the received health information of the patient.

[00105] At step 560, a list of tests required by the COTA module 220 running on the server computer 205 to further distinguish the condition is sent to the COTA module 220 running on the user computer 210 Loses.

[00106] At step 565, the results of the tests are received from the COTA module 220 running on the user computer 210. The results of the tests may be transmitted from the patient to a medical professional after completion of the initial treatment and provided by the patient's permission to provide the results of the tests to the COTA module 220 running on the server computer 205.

[00107] At step 570, a nodal address is assigned to the patient based on the results of the tests. The assigned nodal address may be assigned from a plurality of nodal addresses generated during the pre-processing step by the COTA module 220 running on the server computer 205 for the population of patients. The assigned nodal address includes a set of pre-selected parameters that are effective in segmenting and sorting the separated personal health information into a set of clinically relevant health information. In one embodiment, the assigned nodal address is associated with one or more bundles of predetermined patient care services (e.g., treatment plans) for treatment of the condition. The predetermined patient care services may be determined by one or more of a medical professional, a hospital, a medical group, or an insurance company. Bundles of predetermined patient care services can provide treatment of a predetermined course. Bundles of predetermined patient care services can provide cost assurance for the condition.

[00108] At step 575, the COTA module 220 running on the server computer 205 sends a geographically organized list of healthcare professionals treating the patients in the assigned nodal address and the assigned nodal address to the user COTA module 220. A geographically organized list of healthcare professionals can be visually distinguished by clinical results. In one embodiment, a geographically organized list of healthcare professionals may be visual For example, a geographically organized list of healthcare professionals can be visually distinguished such that green is better than average, yellow is the mean clinical result, and red is less than average have.

[00109] At step 580, a selection of candidate health care professionals is received. The selected candidate healthcare professional may be selected by the patient to meet one or more of a set of geographic constraints, clinical outcome criteria, and patient-specific cost criteria. In one embodiment, at the option of the patient, after receiving the selection of the candidate healthcare professional, each healthcare professional is further classified within the group of candidate healthcare professionals based on the cost of care. For example, each medical professional may be further divided into more, less, or substantially the same as the selected candidate medical professional.

[00110] In one embodiment, the patient's user computer 210 communicatively links (e.g., in the office of the selected candidate medical professional) user computer 230 of the medical professional to facilitate scheduling appointments with the selected candidate medical professional do. In another embodiment, the COTA module 220 running on the server computer 205 sends the patient ' s personal health information to the COTA module 220 running on the user's computer 230 of the healthcare professional.

[00111] Preferably, the steps of FIG. 5B allow patients diagnosed by the condition to optimize treatment options based on geographic limits, clinical outcomes, and patient cost criteria.

, 페이스북

, 또는 기타 소셜 미디어 사이트를 이용하고, 소프트웨어 라이브러리 또는 웹 페이지에 콘텐츠를 추가하여 전송된 메시지, 및/또는 사용자 컴퓨터(210)로 보내지거나 사용자 컴퓨터(210)에 의해 액세스된 임의의 기타 메시지 또는 통신과 같은 다른 타입들의 경고들이 또한 고려된다. 비록 경고들을 제공하는 것으로서 상기 설명되었지만, 트리거는 COTA 모듈(220)이 임의의 다른 동작을 수행하는 것을 초래하는 임의의 동작일 수 있다.[00112] FIG. 6 illustrates a flowchart 600 of alerts provided by the COTA module 220 in accordance with an embodiment. In one embodiment, physicians or other medical professionals may receive alerts based on their preferences. These preferences may be set by a healthcare professional / physician and may include, for example, triggers 610 for alerts and / or techniques used to provide alerts. The triggers for the alert may include, for example, a new patient diagnosis 615, an update to the diagnosis, a real-time scheduled event, changes to the group membership (e.g., A new gene), a change in toxicity and / or dose intensity 620, and at the time of disease progression 625, management of a particular drug, trend 630 on fluctuations from desired results, and / (E. G., Side effect alerts and / or diagnostic test reminders). The alert may include a text message 640 or email 645 sent to the user computer 210. For example, a phone call to the user computer 210, a web page update, a social media update,

, Facebook

, Or other social media sites, messages sent by adding content to a software library or web page, and / or any other messages or communications communicated to the user computer 210 or accessed by the user computer 210 Other types of alerts, such as < RTI ID = 0.0 > Although described above as providing warnings, the trigger may be any operation that causes the COTA module 220 to perform any other operation.

[00113] FIG. 7 is a graphical representation illustrating a mobile device 705 (eg, a user computer 210) that organizes alerts received by a device 705 in accordance with one embodiment. 7, the received COTA alerts include New Colon CA 710, New Renal Cell CA 715, Dose Adjustment 720, Drug Discontinuation 725, New Progression 730, New Breast CA 735, CHOP 3 ^rd cycle alert 740, Neutropenia risk alert 745, and Clinical trial available 750. CHOP is an acronym for the combination of drugs used in chemotherapy and includes cyclophosphamide (Cytoxan / Neosar), doxorubicin (or adriamycin), vincristine (oncobin), and prednisolone, It is used to treat lymphoma.

[00114] The COTA module 220 may provide a set of specific disease data that includes, for example, the occurrence of a disease (e.g., COTA classification), progression-by-progression progression-free survival, and / have. In one embodiment, the COTA module 220 may provide a set of drug use data, such as data related to changes in total or partial therapy, toxicity, and / or therapy.

[00115] Figure 8 illustrates a graphical representation 800 of the occurrence of a disease by cancer subtype that may be provided by the COTA module 220, according to one embodiment. Here, the COTA graph 800 is for lymphoma from 2010 to 2013. The user may utilize the graph search input 810 to reduce the graphical information. For example, the graph search input 810 may be configured to provide a graphical search input 810 that can be used to generate a graph (e.g., a minimum diagnostic, a complete diagnostic, and / or an auditable subject, a diagnostic type, a cancer site / subtype, an International Classification of Diseases And may include selection of what to report on progress, sex, age, date range, race, diabetes, smoking history, previous chemotherapy or radiographic history,

[00116] Figure 9 illustrates a graphical representation 900 of a classification based on variables input to a COTA module 220 that may be provided by a COTA module 220, according to one embodiment. Graphical representation (900) shows the COTA graph for Hodgkin lymphoma from 2010 to 2013, divided into male to female. The graphical representation 900 shows statistical data 910 of the different patients who had this illness that was graphically represented in the representation 900. 10 illustrates an exemplary list of a plurality of variables 1005 (wherein the depicted variables are for lymphoma) that are associated with a particular disease, according to one embodiment.

[00117] FIG. 11 illustrates a graphical representation 1100 that includes real-time Kaplan-Meier curves with confidence intervals for pancreatic cancers that may be provided by the COTA module 220, according to one embodiment. As described above, the Kaplan-Meier curves are curves that illustrate five-year survival rates that can be improved, for example, for a single physician (or healthcare professional) or physician group (or health care professionals). Kaplan-Meier curves can be generated for comprehensive survival and / or progression-free survival. The user displays the variables for his graph search in the graph search input unit 1110.

[00118] 12 is a graphical representation 1200 illustrating Kaplan-Meier curves for disease progression that may be provided by the COTA module 220, according to one embodiment. Line 1205 is for all pancreatic cancers, and bold line 1210 is for pancreatic cancers with first progression.

[00119] 13 is a graphical representation 1300 of real-time benchmarking of results between two parties that may be provided by the COTA module 220, according to one embodiment. The graph 1300 includes a curve 1305 for the results of Dr. John Doe, a physician treating pancreatic cancer, and a curve 1310 for the results of the remaining doctors treating pancreatic cancer. Figure 13 also includes a meter 1320 that measures whether Dr. John Doe's results are tracked positively or negatively.

[00120] 14 is a graphical representation of a cost report 1400 associated with a COTA module 220 (e.g., provided by a COTA module 220) in accordance with one embodiment. The shape of the screen is the result of the CNA's and the shape of the screen may change, but it is desirable to provide information. Cost report 1400 may be associated with cost tab 1220 of FIG. Cost report 1400 may be used, for example, to estimate treatment cost (s), capture knowledge, and / or transfer knowledge to specific implementations. In one embodiment, the COTA module 220 tracks in real time the costs of various treatments, doctors, hospitals, and the like. As shown in FIG. 14, the cost report 1400 illustrates a comparison between the average per-benefit and average costs. The cost report 1400 may also include hospital benefit gains per dollar and per cent, hospital average earnings and costs (eg, average revenue per patient, average cost per patient), average cost per case (eg, Average costs, weighted peer averages), pseudo average costs per revenue (e.g., imaging for each physician, laboratory work, evaluation and management, medicines, medical supplies, and other costs), etc. .

[00121] 15A and 15B illustrate a graphical representation of a treatment interface 1500 associated with a COTA module 220 (e.g., provided by a COTA module 220) to facilitate connection between treatments and results, according to one embodiment. to be. As shown in FIG. 15A, the treatment interface 1500 may include different types of treatment lists to be administered (or rejected) to breast cancer patients, such as surgery, anticancer agents, cell therapy, radiotherapy, Treatment can be ordered according to disease progression. For example, in oncology, drugs are usually administered cyclically, and in any one cycle, any number of drugs may be administered. In one embodiment, the user can select the progress cycle, along with progress 0 after the initial diagnosis (indicated, for example, as progress 0 and progress 4), and can select drugs within multiple categories or from multiple categories.

[00122] 15B, in another embodiment, the treatment interface 1510 may include therapies for one or more therapies, graphically displayed on the treatment interface 1510 as tabs 1515. [ Therapeutic interface 1510 may include fields for indicating start and end data for therapy, dose intensity, treatment regimen, specific brands of drugs, and the like. Therapeutic therapies may be graphically summarized or represented as a list of treatments within the table 1520. Table 1520 may include action icons 1505 for each treatment. The action icons 1505 may facilitate actions such as, for example, editing, closing, viewing components, and the like. In one embodiment, action icons 1505 may be shortcuts for performing complex tasks with a single selection (e.g., requiring multiple clicks or selections). For example, the icon on the diagnostic line can direct the user to the diagnostic screen.

[00123] 16 is a graphical representation of a result screen 1600 for facilitating tracing results in accordance with one embodiment. The result screen 1600 may facilitate tracking results from, for example, diagnosis (i.e., progress 0), first progress, second progress, and fourth progress, with each progress being considered a different disease. The result screen tab may include information such as the date of diagnosis, the start and end dates of the treatment, the response to the treatment (e.g., complete, partial, stable) (E.g., a partial field, a CR_RA_Pet negative field, a CR field, etc.), and a tracking end date, and may include fields for final contact and death. The result screen 1600 may include, for example, an input area that allows input of toxicity of the medication, what has happened (e.g., interruption, continuation, change in drug dosage, and frequency), number of delays, Change, and / or a reduced number. In one embodiment, the user of the COTA module 220 may flag the patient.

[00124] FIG. 17 is a graphical representation of a treatment detail report screen 1700 illustrating a comparison between cost and results, in accordance with one embodiment. The treatment detail report screen 1700 correlates the cost of care with the clinical outcome to optimize the value of care. Cost and financial data may be collected or analyzed by hospitals, physicians, etc. over a given period of time (e.g., 5 years). Cost and financial data can be represented in one or more ranges of costs. In one embodiment, the ranges of costs include a range (1705) for costs greater than $ 25,000, a range (1710) for costs ranging from $ 10,000 to $ 25,000, and a range (1715) for costs less than $ 10,000. When cost and financial data are combined with clinical data, the COTA module 220 can provide cost data for different treatments for a given period of time based on different clinical classes.

[00125] 18 is a graphical representation of the analysis screen 1800 provided by the COTA module 220 illustrating a comparison between toxicity and cost, according to one embodiment. The shape of the screen is the result of the CNA's and the shape of the screen may change, but it is desirable to provide information. The analysis screen 1800 correlates the occurrence and severity of toxicity with the cost of care and the outcome of care. Toxicity can be expressed numerically (e.g., in range), standards (e.g., grades), and the like. For example, as shown in FIG. 18, toxicity is indicated as toxicity classes (1-4) based on the Common Terminology Criteria for Adverse Events (CTCAE) classification. The degree of toxicity is graphically compared to the cost. The analysis screen 1800 can be used to optimize the value and efficacy of care, where the value is efficacy / cost. In one embodiment, the COTA module 220 attempts to achieve high efficacy and low cost.

[00126] FIG. 19 is a graphical representation of an analysis screen 1900 provided by the COTA module 220 illustrating a comparison between therapy and quality of life, according to one embodiment. Therapy may be indicated as therapeutic drugs in the assay screen 1900. However, other types of therapies, such as, for example, surgery, procedures, etc., are also contemplated. In one embodiment, the therapy includes the incidence, severity, and toxicity of the therapy. The quality of life can be measured based on an average Eastern Cooperative Oncology Group (ECOG) scale that is in the class 5 (ie, death) range from a grade 0 (ie, fully active). Quality of life can also be measured using any appropriate measurement criteria. The analysis screen 1900 can facilitate how the patient's disease is progressing, how the disease affects the patient's daily living abilities, and the evaluation of appropriate therapies and prognoses.

[00127] 20 is a flow diagram 2000 illustrating an alert system provided to a medical professional in accordance with one embodiment. The shape of the screen is the result of the CNA's and the shape of the screen may change, but it is desirable to provide information. In one embodiment, the information in the alert helps the user make a decision in the future. In one embodiment, the information in the alert provides a set of attributes that occurred during the last period. In one embodiment, the information actively affects the user ' s decisions and responsively provides a brief report of how the medical practitioner / physician performed last week, last month, last quarter, and so on. In one embodiment, there are different alerts for different users, each of which may affect user decisions. The warning can be utilized for real-time course correction to derive the best value, for example, when the administered therapy deviates from the desired result. At block 2005, the definitions are triggered based on the clinical data. Definitions may be triggered using any criteria, such as, for example, a new disease diagnosis, disease progression, patient response, changes in patient characteristics, change in dose / drug toxicity, trends in variation from desired outcomes, The criteria can be adjusted based on disease and disease parameters. Based on the triggered definition, alerts 2010-A, 2010-B, 2010-C (collectively referred to as warnings 2010) are transmitted. It should be appreciated that alerts 2010 may include any number of alerts. Warnings 2010 may include content or links to content. Alerts 2010 may be sent to a responsible physician, other healthcare professional, hospital, pharmaceutical company, or any other person or entity.

[00128] The content 2015-A, 2015-B, 2015-C (collectively referred to as content 2015) is displayed using the user computer 210, for example, to provide an alert. Content 2015 may include patient data, comparisons, or any other relevant content associated with alert 2010. In one embodiment, the comparison may be, for example, between doctors, between one patient's patients and the entire patient population, between one physician and all physicians at a particular location, and so on. The comparison may be based on a trend analysis to show how the treatment trend is and whether the treatment is out of the course (i.e., the outcome is not as good as the standard). The comparison can be graphically displayed as one or more curves on the graph. In one embodiment, the COTA module 220 is utilized for cloud-based computing. The COTA module 220 may also enable or utilize access to hospital records.

[00129] In one embodiment, the content 2015 may include feedback support to a medical professional having traffic signal feedback indicators (not shown) on the display. For example, blue can mean very good performance (ie better than standard), green can mean standard performance, and yellow can mean that there is sufficient performance, but attention is required, It may be necessary to pay attention to something about the medical professional's approach to these diseases. Other implementations of feedback indicators may also be utilized.

[00130] Figures 21-24 illustrate graphical representations for different diagnostic types according to one or more embodiments. Figure 21 shows a diagnostic screen 2100 for gastrointestinal oncology (e.g., colon cancer). Figure 22 shows a diagnostic screen 2200 for breast oncology (e.g., breast cancer). 23 shows a diagnostic screen 2300 for thoracic oncology (e.g., lung cancer). Diagnostic screens 2100, 2200, 2300 include a number of different parameters, such as tests or aspects of the disease. The parameters may be displayed as simple indicators, numerical based parameters, standard based parameters, and so on.

[00131] 24 shows a graphical representation of a reporting screen 2400 illustrating data generation and classification of the COTA module 220 for breast oncology. According to one embodiment, the reporting screen 2400 shows histology, i. E., Breast cancer from 2008 to 2013 by invasive duct carcinoma. The reporting screen 2400 allows selection of breast cancer patients in real time based on step, age, progress, or any parameter. Preferably, the reporting screen 2400 allows categorization in a clinically relevant manner.

[00132] 25 shows a graphical representation of a reporting screen 2500 illustrating data generation and classification of COTA module 220 for breast oncology. According to one embodiment, the reporting screen 2500 depicts all grade 2 breast cancer in staged tumors from 2008 to 2013.

[00133] Figure 26 shows a graphical representation of a reporting screen 2600 illustrating data generation and classification of the COTA module 220 for breast cancer. According to one embodiment, the reporting screen 2600 shows all stages of IIB breast cancer from 2008 to 2013. The graph 2605 on the reporting screen 2600 shows all stages of IIB breast cancer by progesterone receptor status.

[00134] Figure 27 illustrates a graphical representation of an analysis screen 2700 illustrating overall survival results for breast cancer patients, according to one embodiment. According to one embodiment, FIG. 28 shows a graphical representation 2800 illustrating survival results for breast cancer as a comparison between Dr. John Doe (bold line) and full (non-bold line) parties.

[00135] In one embodiment, the foregoing "node" represents all possible permutations of the variables shown in one or more graphical representations (e.g., in one or more of Figures 21-27).

[00136] 29, client device 2905 may include one or more processing units 2922 (also referred to herein as CPUs) and may be coupled to at least one computer bus 2925, do. The client device 2905 may be, for example, a user computer 210. The memory 2930 may be a persistent store and interfaces with the computer bus 2925. The memory 2930 includes a RAM 2932 and a ROM 2934. The ROM 2934 includes a BIOS 2940. The memory 2930 may include an operating system 2941, including application programs (e. G., Application programs), including program code and / or computer executable process steps, the integrated functionality described herein, 2942, device drivers, and software modules 2943, 2945 to provide information stored in memory 2930 to CPU 2922 during execution of software programs. CPU 2922 first loads computer executable process steps from a storage, e.g., memory 2932, data storage media / media 2944, removable media drives, and / or other storage devices. The CPU 2922 may then execute stored process steps to execute the loaded computer-executable process steps. The stored data, e.g., data stored by the storage device, may be accessed by the CPU 2922 during execution of computer-executable process steps.

[00137] The persistent storage medium (s) 2944 is a computer readable storage medium (s) that can be used to store software and data, e.g., an operating system and one or more application programs. The persistent storage medium (s) 2944 may also include one or more of a digital camera driver, a monitor driver, a printer driver, a scanner driver, or other device drivers, web pages, content files, playlists, Can be used to store device drivers. The persistent storage medium (s) 2206 may further comprise program modules and data files used to implement one or more embodiments disclosed herein.

[00138] For purposes of this disclosure, computer-readable media includes computer data, which may be, in a machine-readable form, computer program code executable by a computer. By way of example, and not limitation, computer-readable media may comprise a computer-readable storage medium for tangible or fixed storage of data, or a communication medium for temporary interpretation of code-containing signals. As used herein, a computer-readable storage medium refers to physical or tangible storage (as opposed to a signal) and may include, without limitation, computer-readable instructions, data structures, program modules or other data Volatile, removable media implemented in any method or technology for tangible storage of information. The computer readable storage medium may be any type of storage medium such as RAM, ROM, EPROM, EEPROM, flash memory or other solid state memory technology, CD-ROM, DVD, or other optical storage, magnetic cassettes, magnetic tape, , Or any other physical or physical medium that can be used to store tangibly the desired information or data or instructions and can be accessed by a computer or processor.

[00139] The client device 2905 also includes a power source 2926, a network interface 2950, an audio interface 2952, a display 2954 (e.g. a monitor or screen), a keypad 2956, an illuminator 2958, an I / Analog audio inputs with modems 2960, haptic interface 2962, GPS 2964, microphone 2966, video camera, TV / radio tuner, audio / video capture card, sound card, A / D converter, And may include one or more of media input (HDMI, optical link), digital I / O ports (RS232, USB, FireWire, Thunderbolt), expansion slots (PCMCIA, ExpressCard, PCI, PCIe).

[00140] For purposes of this disclosure, a module may include software, hardware, or firmware (or a combination thereof) that performs or facilitates the processes, features, and / or functions described herein (with or without human interaction or enhancement) Combinations of systems, processes, or functions, or components thereof. A module may include sub-modules. The software components of the module may be stored in a computer readable medium. A module may be integrated into one or more servers, or may be loaded and executed by one or more servers. One or more modules may be grouped into engines or applications.

[00141] 30 is a block diagram illustrating an example internal structure of a computer, such as computer 205, user computer 210, and / or user computer 230, in accordance with one or more embodiments of the present disclosure. As referred to herein, a computer refers to any device having a processor capable of executing logic or coded instructions, such as a server, a personal computer, a set-top box, a tablet, a smartphone, a pad Computer or media device. 30, the internal structure 3000 includes one or more processing units 3012 (also referred to herein as CPUs), the processing units comprising at least one computer bus 3002, Interface. Interfacing with the computer bus 3002 may also include persistent storage media / media 3006, network interface 3014, memory 3004 such as random access memory (RAM), run-time transient memory, read only memory ), Media disk drive interface 2308 as an interface for a drive that can read and / or write media including removable media such as floppy, CD ROM, DVD, etc., media, monitor or other display A keyboard interface 3016 as an interface for a keyboard, a pointing device interface 3018 as an interface for a mouse or other pointing device, and a parallel interface such as parallel and serial port interfaces, a universal serial bus USB) interfaces, and the like. admit.

[00142] The memory 3004 may include one or more of the operating systems, application programs, device drivers, and program code, and / or computer executable process steps, the integrated functionality described herein, And interfaces with the computer bus 3002 to provide information stored in the memory 3004 to the CPU 3012 during the execution of software programs, such as embedded software modules. CPU 3012 first loads computer executable process steps from a storage, e.g., memory 3004, storage media / media 3006, removable media drives, and / or other storage devices. The CPU 3012 may then execute stored process steps to execute the loaded computer-executable process steps. The stored data, e.g., data stored by the storage device, may be accessed by the CPU 3012 during execution of the computer-readable process steps.

[00143] As described above, the persistent storage medium (s) 3006 is a computer readable storage medium (s) that can be used to store software and data, e.g., an operating system and one or more application programs. The persistent storage media / media 3006 may also be a device such as a digital camera driver, a monitor driver, a printer driver, a scanner driver, or other device driver, one or more of web pages, content files, playlists, Can be used to store drivers. The persistent storage medium (s) 3006 may further comprise program modules and data files used to implement one or more embodiments of the present disclosure.

[00144] The internal structure 3000 of the computer includes an analog audio input with a microphone, a video camera, a TV / radio tuner, an audio / video capture card, a sound card, an A / D converter, , Optical links), digital I / O ports (RS232, USB, FireWire, Thunderbolt), expansion slots (PCMCIA, ExpressCard, PCI, PCIe).

[00145] CNA-induced care has both sides, which together enable the delivery of value-based care in the United States through the application of CNAs through healthcare providers, payers, and patients' triune sufferers.

[00146] In a first aspect, a possible tool includes a medical care provider, a computer including a processor including a first COTA module, a first client device including a second COTA module communicatively linked to the first COTA module over a network, Lt; / RTI > This allows the payer to identify a second COTA module communicatively linked to a first COTA module of the processor, a health care service being considered for the patient whose health plan benefits cover the service; Indicates that the service is for the purpose of diagnosis or treatment of the disease; And via a first client device comprising communications over a network to a processor identifying variables selected by the payer. Upon receiving such communication from the payer, the first COTA module is configured to (i) obtain clinical outcome data for each CNA, (ii) provide medical care providers for patients at each nodal address at critical points during the required care and treatment Negative fluctuations for each health care provider in each CNA, including both unnecessary care contributing to negative fluctuations; (iii) a cost report that includes cost data in real time to treat each patient in the patient population assigned to the CNA; And (iv) (1) the cost of care for clinical outcomes; (2) the incidence and severity of toxicity to the cost of care and clinical outcomes of care; And (3) information including a graphical analysis correlating one or more of the therapy and quality of life to the second COTA module. Based on this information, the payer may (a) consider the potential benefits and damages to the patient and determine whether the medical service is the appropriate delivery or level of appropriate service; (b) whether medical services are effective in improving health outcomes by improving clinical outcomes or reducing the overall cost of care; Cost-effective for disease and clinical outcomes being treated as compared to alternative health interventions or nonintervention; And establish a point in time when a service follows a generally accepted medical practice and the payer can approve payment to a medical care provider for medical services for the patient.

[00147] As illustrated by way of example in FIG. 31, the second side of the CNA-induced health care, in accordance with embodiments of the present disclosure for breast cancer patients, comprises a processor including a first COTA module, And interactions between the computer and the patient, including a second client device including a third COTA module that is linked as far as possible. When exchanging a series of communications with a patient via a second client device comprising a third clinical result tracking and analysis module, the first COTA module does three things: providing the patient with information so that the patient can Obtaining a medical evaluation (e.g., physical assessment; laboratory assessment; imaging, etc.), the CNA can be assigned; Illustrating patient treatment options for conditions that optimize care and reduce the risk of adverse fluctuations using an assigned CNA; And patient doctors within the geographic area of the patient who have the best results with acceptable care costs and follow CNA-induced care so that the patient can select the desired level of health care provider and CNA-guided care.

[00148] As depicted in Figure 32, at the payor's point of view, the enabling tool removes pre-authorization for testing, diagnosis and therapy selections; It may be efficient to eliminate the need for introductions. At the point of view of the medical care provider, this reduces the time required to pay the provider for health care. Thus, an enabling tool can allow health care to optimize the rate for risk-based reimbursement and move the charge for services to risk-based care reimbursement (e.g., by bundling services). At the patient's point of view, CNA-induced care performs three things: First, the patient provides his or her patient with enough information to obtain his or her complete medical assessment and assign the CNA to the patient; Second, we show patient treatment options based on geography, clinical outcomes, costs and other patient-setting criteria that can allow a patient to choose an optimized care to avoid adverse fluctuations using CNA; Third, patient health care providers in the area of patients following CNA induction care with best results with acceptable cost of care are shown.

[00149] Those skilled in the art will recognize that the methods and systems of the present disclosure can be implemented in many ways and are not limited by the exemplary embodiments and examples described above. In other words, the functional elements and individual functions performed by the single or multiple components in various combinations of hardware and software or firmware can be distributed among the software applications at the user computing device or server, or both have. In this regard, any number of features of the different embodiments described herein may be combined in a single or multiple embodiments, with fewer, or more, or all alternative embodiments of the features described herein being possible . The functionality may also be distributed among multiple components, in whole or in part, now in a known or known manner. Thus, a myriad of software / hardware / firmware combinations are possible to achieve the functions, features, interfaces, and preferences described herein. In addition, the scope of the present disclosure is to be accorded the broadest interpretation so as to encompass all such modifications and similar operations as may be made to the hardware or software or firmware described herein, as will be appreciated by those skilled in the art, And methods known to perform modifications.

[00150] Systems and methods have been described in terms of one or more embodiments, it should be understood that this disclosure is not necessarily limited to the disclosed embodiments. It is intended to cover various modifications and similar arrangements included within the spirit and scope of the claims, and the scope of the claims should be accorded the broadest interpretation so as to encompass all such modifications and similar structures. The present disclosure encompasses any and all embodiments of the following claims.

Claims (30)

CLAIMS 1. A method for improving clinical outcomes at a particular patient level and reducing total care cost at a population level,
A. a computer including a processor including a medical care provider, a first clinical result tracking and analysis module, a second clinical result tracking and analysis module communicatively linked to the first clinical result tracking and analysis module via a network, A first client device that includes, and interactions between the payer and the first client device; And
B. a computer including a processor including the first clinical result tracking and analysis module, a third clinical result tracking and analysis module communicatively linked to the first clinical result tracking and analysis module via the network, A second client device, and interactions between the patient,
The computer comprising a processor including the first clinical result tracking and analysis module running on a processor including the first clinical result tracking and analysis module, the method comprising:
(a) describing the preceding biological variation by grouping the patients in the patient population, thereby effectively eliminating the biological variation as an element of the care value, leaving the treatment variation as the main component of the treatment outcome, said leaving step comprising:
(i) receiving and collecting personal health information from each patient within the patient population; and collecting and recording the information in a database, the personal health information comprising respective parameters and current scientific knowledge or medical guidelines Including information that affects survival, prognosis, or treatment based on;
(ii) providing a categorized set of personal health information for the population, and using a classification filter to identify patients satisfying respective parameters in the patient population, Categorize information;
(iii) classifying similar personal health information and generating and assigning a plurality of clinical outcome tracking and analysis nodal addresses (CNAs) within the first clinical outcome tracking and analysis module; and Grouping the types of patients in the patient population based on associated personal health information; and generating and assigning the plurality of nodal addresses:
(1) a discrete punctuated string of digits containing a prefix, a middle and a suffix representing a set of pre-selected variables that divide the classified and separated information into a clinically relevant set of health information, To represent each CNA;
(2) enable analysis of the resulting clinical and cost result variability from the ideal value expressed as the best clinical outcome at the first action and then at the lowest possible cost, at the required time to avoid unnecessary care and avoid unnecessary care Based on the punctuated column of discrete digits representing each CNA that makes it possible to reduce an enormous amount of possible permutations to a reduced number of clinically meaningful permutations to increase care value - - means better clinical results;
(3) reducing processing time and processing requirements that are effective for real-time monitoring of healthcare provider performance based on the number of discrete digits implying each CNA representing the punctuation and reduction of the permutations; And
(4) stopping the treatment flow to avoid predicting the over / under use of care to enable prediction of key points of potential behavioral change and to prevent said behavioral change;
(iv) measuring a clinical result for each CNA by analyzing a clinically relevant set of personal health information for a subset of the patient population for one or more patients in the subset of the patient population; And
(v) comparing the differences between one medical care provider and another medical care provider in terms of treatment, testing, follow-up, compliance and cost of prescribed medications for each patient within the patient population assigned to each CNA The behavior variation for each medical care provider of each patient in the patient population assigned to the CNA of the patient
- performed;
(b) receiving from the payer a second clinical result tracking and analysis module that includes communications identifying health care services under consideration for a patient covering health care services and parameters selected by the payer When receiving through the first client service,
(1 ') clinical outcome data for each CNA in (iv);
(2 ') (v) for each health care provider of each CNA;
(3 ') a cost report comprising real-time cost data for treating each patient in the patient population assigned to the CNA in (iii); And
(4 ')< / RTI > care cost to a clinical outcome to the second clinical outcome tracking and analysis module,
(a ') that the medical service is at an appropriate delivery or service level, taking into account the potential benefits and harms to the patient;
(b ') that said medical service is effective at improving clinical outcomes and improving health outcomes by reducing total care costs;
(c ') Compared to alternative health interventions or interventions, the service is cost-effective for the medical condition and clinical outcome being treated; And
(d ') that the service follows a generally accepted medical practice
The payer establishes at key points, and
The payer being sufficient to approve payment to the medical care provider for the medical service;
(c) when exchanging a series of communications with the patient through the second client device including the third clinical result tracking and analysis module,
Providing a complete medical assessment of the patient, and providing sufficient information to assign the CNA to the patient, and
Determining an optimal care level with a reduced risk of adverse variance; And using the CNA to select a health care provider and a desired level of CNA-induced care,
The series of communications includes:
(i '') in response to a first communication from a patient reporting a health concern to a processor of a computer server comprising the first clinical result tracking and analysis module, Sending a second communication comprising a list of tests to the second client device including the third clinical result tracking and analysis module;
in response to a third communication from the patient comprising the results of the tests required to diagnose the health concern at the first step (ii ") (i"), Sending a fourth communication comprising a list of tests and a diagnosis of the medical condition to the second client device comprising the third clinical result and analysis module;
(ii ''), and (ii '') in response to a fifth communication from the patient comprising the results of additional tests in step (iii '') , ≪ / RTI > a list of additional tests at < RTI ID =
assigning a CNA to the patient from the plurality of CNAs available in (a ") a (iii); the assigned CNA comprising a clinically relevant set of health information for the patient; And
(b ") transmitting a sixth communication to the second client device comprising the third clinical result tracking module, the sixth communication comprising:
(1 ") the assigned CNA; And
(2 ") comprising a geographically organized list of medical professionals treating patients within the assigned CNA, the list of medical professionals being distinguished by one or more of geography, clinical outcome or cost;
in response to a seventh communication from the patient selecting an optimal care plan comprising a medical care professional meeting at least one of (iv ')' reduced risk of adverse deviation and patient ' s geographic, Comprising communicatively linking to a computing device comprising a third clinical result tracking and analysis module in an office of the selected medical professional to enable scheduling appointments of a patient with a selected medical professional at a particular patient level A method for improving clinical outcomes and reducing total care costs at the population level. The method according to claim 1,
The parameters of the classification in (a) (a) (ii) are: sex, age, ethnicity, complication, tobacco use, insurance source, medical record number, primary care physician, , Disease-specific clinical molecular phenotype, therapeutic intent, therapeutic phase, biomarkers, and care costs; or
(b) the set of preselected variables in (a) (iii) (1) comprises a disease-specific clinical molecular phenotype; or a digit column representing said phenotype is determined based on a directional graph; or
(c) The key points in steps (a), (iii) (4) and (b) (i ') (4') are: At the time of drug change; Depending on the toxicity, and the tendency to fluctuate from the desired result; or
(d) The correlation of care costs to the clinical outcome stage in (b) (1 ') (4') is dependent on the incidence of toxicity, severity of toxicity; therapy; And correlating one or more of the cost of care and the quality of life to the care outcome; or
(e) receiving a transmission from the client device in (b) or (c) via a human user or a technical process; or
The assigned CNA in (f) (c) (iii ") (b") (1 ") is associated with one or more bundles of predetermined patient care services Or; or
The clinical results in (g) (c) (iii ") (b") (2 ") are based on the accepted therapeutic agent, the intensity of the administered dose, the dosage interval, Metrics, toxicity to therapy, progression-free survival, overall survival, response metrics, and mortality; or
(h) The list of medical professionals in step (c) (iii '') (b '') (2 ") is intended to improve clinical outcomes at a particular patient level, To reduce total care costs. 3. The method of claim 2,
In (f) of claim 2, one or more of the bundles of predetermined patient care services are adapted to improve clinical outcomes at a particular patient level, providing a predetermined treatment course, cost certainty for treatment of the condition, A method for reducing total care costs. 3. The method of claim 2,
The method of claim 2, further comprising: (f) identifying a best clinical outcome at a minimum care cost of the CNA by ranking both the clinical outcome and the care costs in one or more bundles of the predetermined patient care services A method for improving clinical outcomes at a particular patient level and reducing total care costs at a population level. 3. The method of claim 2,
In (h) of claim 2, the visual distinction of the list of medical professionals according to the clinical result is:
(a) green to show better clinical results than average;
(b) yellow indicating average clinical outcome; And
(c) A method for improving clinical outcomes at a particular patient level and reducing total care costs at a population level, including red representing poorer clinical results than average. The method according to claim 1,
With permission from the patient and the selected medical professional:
Further comprising transmitting the patient ' s personal health information from the first clinical outcome tracking and analysis module to a computing device comprising a fourth clinical outcome tracking and analysis module in the office of the selected health care professional at a particular patient level A method for improving clinical outcomes and reducing total care costs at the population level. The method according to claim 1,
In step (d) (2), the behavior variation data for each health care provider of each CNA in (c) contributes to the adverse variation of the care care provider for each CNA patient at key points during treatment A method for improving clinical outcomes at a particular patient level and reducing total care costs at a population level, comprising both necessary and unnecessary care of the member. The method according to claim 1,
Wherein step (d) further comprises indicating that the service is for diagnostic or therapeutic purposes of a medical condition, to improve clinical results at a particular patient level and to reduce the total care cost at a population level. The method according to claim 1,
In steps (d) and (3 '), the cost report comprises:
A comparison between physician and average cost per benefit; or
Hospital contribution margins in dollar and percent comparisons; or
Hospital average earnings per patient; or
Hospital average cost per patient; or
Average cost per case for each physician, weight peer average; or
The average cost of imaging, laboratory work, assessment and management; or
Medicines, medical supplies and other costs for each physician; or
A method for improving clinical outcomes at a particular patient level and reducing total care costs at a population level, including combinations thereof. The method according to claim 1,
In step (b) (i '), the variables selected by the payer are variables that identify certain attributes of the personal health information as a set of desired characteristics; Each of which includes one or more attributes added to the personal health information by the payer to identify the individual health information of each patient as being of the same level of importance as other health information in the patient population database, A method for improving clinical outcomes at a level and reducing total care costs at the population level. A system for improving clinical outcomes at a particular patient level and reducing total care costs at a population level,
(A) a database containing personal health information and data on the population of human subjects;
A first clinical result tracking and analysis module communicatively linked to the database and the network; And
Memory for storing computer program instructions
A processor of a computer server;
(B) a first client device comprising a processing unit, a memory and a second clinical result tracking and analysis module communicatively linked to a first clinical result tracking and analysis module of the processor of the computer server; And
(C) a second client device comprising a processing unit, a memory, and a third clinical result tracking and analysis module communicatively linked to a first clinical result tracking and analysis module of the processor of the computer server;
The computer program instructions of (A), when executed on the processor, cause the first clinical result tracking and analysis module to perform the following operations,
The following operations:
(a) describing a preceding biological variation by grouping patients in a patient population, effectively removing said biological variation as an element of care value, and leaving the treatment variance as a major component of the treatment outcome, said leaving action comprising:
(i) receiving and collecting personal health information from each patient within the patient population; and collecting and recording the information in a database, the personal health information comprising respective parameters and current scientific knowledge or medical guidelines Including information that affects survival, prognosis, or treatment based on;
(ii) providing a categorized set of personal health information for the population, and using a classification filter to identify patients satisfying respective parameters in the patient population, Categorize information;
(iii) based on personal health information associated with the patient population by classifying similar personal health information and generating and assigning a plurality of clinical outcome tracking and analysis nodal addresses (CNAs) within the first clinical outcome tracking and analysis module Grouping the types of patients in the patient population and creating and allocating the plurality of CNAs:
(1) representing each CNA with punctuated discrete digits comprising prefix, middle, and suffix expressing a set of preselected variables that divide the categorized and separated information into a clinically relevant set of health information that;
(2) enable analysis of the resulting clinical and cost result variability from the ideal value expressed as the best clinical outcome at the first action and then at the lowest possible cost, at the required time to avoid unnecessary care and avoid unnecessary care Based on the punctuated column of discrete digits representing each CNA that makes it possible to reduce an enormous amount of possible permutations to a reduced number of clinically meaningful permutations to increase care value - - means better clinical results;
(3) reducing processing time and processing requirements that are effective for real-time monitoring of healthcare provider performance based on the number of discrete digits implying each CNA representing the punctuation and reduction of the permutations; And
(4) stopping the treatment flow to avoid predicting the over / under use of care to enable prediction of key points of potential behavioral change and to prevent said behavioral change;
(iv) measuring a clinical result for each CNA by analyzing a clinically relevant set of personal health information for a subset of the patient population for one or more patients in the subset of the patient population; And
(v) comparing the differences between one medical care provider and another medical care provider in terms of treatment, testing, follow-up, compliance and cost of prescribed medications for each patient within the patient population assigned to each CNA Measures the behavioral variability for each care care provider of each patient within the patient population assigned to the CNA of
- performed;
(b) receiving from the payer a second clinical result tracking and analysis module that includes communications identifying health care services under consideration for a patient covering health care services and parameters selected by the payer When receiving through the first client service,
(1 ') clinical outcome data for each CNA in (iv);
(2 ') (v) for each health care provider of each CNA;
(3 ') an expense report including real-time cost data for treating each patient in the patient population assigned to the CNA in (iii); And
(4 ') one or more graphical analyzes that correlate the cost of care to clinical outcomes
To the second clinical result tracking and analysis module,
(a ') that the medical service is at an appropriate delivery or service level, taking into account the potential benefits and harms to the patient;
(b ') that said medical service is effective at improving clinical outcomes and improving health outcomes by reducing total care costs;
(c ') Compared to alternative health interventions or interventions, the service is cost-effective for the medical condition and clinical outcome being treated; And
(d ') that the service follows a generally accepted medical practice
The payer establishes at key points, and
The payer being sufficient to approve payment to the medical care provider for the medical service;
(c) when exchanging a series of communications with the patient through the second client device including the third clinical result tracking and analysis module,
A complete medical assessment of the patient, and providing information sufficient to assign the CNA to the patient; And
Determine an optimal care level with a reduced risk of adverse deviation; And using the CNA to select a health care provider and a desired level of CNA-induced care,
The series of communications includes:
(i '') in response to a first communication from a patient reporting a health concern to a processor of a computer server comprising the first clinical result tracking and analysis module, Sending a second communication comprising a list of tests to the second client device including the third clinical result tracking and analysis module;
in response to a third communication from the patient comprising the results of the tests required to diagnose the health concern at the first step (ii ") (i"), Sending a fourth communication comprising a list of tests and a diagnosis of the medical condition to the second client device comprising the third clinical result and analysis module;
(ii ''), and (ii '') in response to a fifth communication from the patient comprising the results of additional tests in step (iii '') , ≪ / RTI > a list of additional tests at < RTI ID =
assigning a CNA to the patient from the plurality of CNAs available in (a ") a (iii); the assigned CNA comprising a clinically relevant set of health information for the patient; And
(b ") transmitting a sixth communication to the second client device comprising the third clinical result tracking module, the sixth communication comprising:
(1 ") the assigned CNA; And
(2 ") comprising a geographically organized list of medical professionals treating patients within the assigned CNA, the list of medical professionals being distinguished by one or more of geography, clinical outcome or cost;
in response to a seventh communication from a patient selecting an optimal care plan having a medical professional meeting at least one of the reduced risk of adverse deviation (iv ") and the patient's geographic, cost and outcome needs, Comprising the steps of communicatively linking to a computing device comprising a third clinical result tracking and analysis module in an office of the selected medical professional to enable scheduling appointments of an expert and a patient, And to reduce the total cost of care at the population level. 12. The method of claim 11,
The parameters of the classification in (a) (a) and (ii) above may be used for the purposes of gender, age, ethnicity, complication, tobacco use, insurance source, medical record number, primary care physician, Disease-comprising at least one of a specific clinical molecular phenotype, a therapeutic intent, a therapeutic phase, a biomarker, and a care cost; or
(b) the set of preselected variables in (a) (iii) (1) comprises a disease-specific clinical molecular phenotype; or a sequence of digits representing a phenotype is determined based on a directional graph; or
(c) The key points in steps (a), (iii) (4) and (b) (i ') (4') are: At the time of drug change; Depending on the toxicity, and the tendency to fluctuate from the desired result; or
(d) The correlation of care costs to the clinical outcome stage in (b) (1 ') (4') is dependent on the incidence of toxicity, severity of toxicity; therapy; And correlating one or more of the cost of care and the quality of life to the care outcome; or
(e) receiving a transmission from the client device in (b) or (c) via a human user or a technical process; or
(c) The assigned CNA in (iii ") (b") (1 ") is associated with one or more bundles of predetermined patient care services for treatment of the condition; or
The clinical results in (g) (c) (iii ") (b") (2 ") are based on the accepted therapeutic agent, the intensity of the administered dose, the dosage interval, Metrics, toxicity to therapy, progression-free survival, overall survival, response metrics, and mortality; or
(h) The list of medical professionals in step (c) (iii '') (b '') (2 ") is intended to improve clinical outcomes at a particular patient level, A system for reducing total care costs in a patient. 13. The method of claim 12,
12. The method of claim 12, wherein the one or more bundles of the predetermined patient care services are adapted to improve clinical outcomes at a particular patient level and provide a predetermined level of treatment, a cost certainty for treatment of the condition, A system for reducing total care costs in a patient. 13. The method of claim 12,
The method of claim 12, further comprising identifying a best clinical outcome at a minimum care cost of the assigned CNA by ranking both the clinical outcome and the care cost in one or more bundles of the predetermined patient care services. A system for improving clinical outcomes at a specific patient level and reducing total care costs at the population level. 13. The method of claim 12,
In (h) of claim 12, the visual distinction of the list of medical professionals according to the clinical result is:
(a) green to show better clinical results than average;
(b) yellow indicating average clinical outcome; And
(c) a system for improving clinical outcomes at a particular patient level and reducing total care costs at the population level, including red representing poorer clinical results than average. 12. The method of claim 11,
With permission from the patient and the selected medical professional:
Further comprising transmitting the patient ' s personal health information from the first clinical outcome tracking and analysis module to a computing device comprising a fourth clinical outcome tracking and analysis module in an office of the selected health care professional, A system to improve results and reduce total care costs at the population level. 12. The method of claim 11,
In step (d) (2), the behavior variation data for each health care provider of each CNA in (c) contributes to the adverse variation of the care care provider for each CNA patient at key points during treatment A system for improving clinical outcomes at a particular patient level and reducing total cost of care at a population level, comprising both necessary and unnecessary care of the member. 12. The method of claim 11,
Wherein the step (d) further comprises indicating that the service is for diagnostic or therapeutic purposes of a medical condition, improving clinical results at a particular patient level and reducing the total care cost at a population level. 12. The method of claim 11,
In steps (d) and (3 '), the cost report comprises:
A comparison between physician and average cost per benefit; or
Hospital contribution margins in dollar and percent comparisons; or
Hospital average earnings per patient; or
Hospital average cost per patient; or
Average cost per case for each physician, weighted peer average; or
The average cost of imaging, laboratory work, assessment and management; or
Medicines, medical supplies and other costs for each physician; or
A system for improving clinical outcomes at a particular patient level and reducing total care costs at a population level, including combinations thereof. 12. The method of claim 11,
In step (b) (i '), the variables selected by the payer are variables that identify certain attributes of the personal health information as a set of desired characteristics; Each of which includes one or more attributes added to the personal health information by the payer to identify the individual health information of each patient as being of the same level of importance as other health information in the patient population database, A system for improving clinical outcomes at the level and reducing total care costs at the population level. 17. A non-transitory computer readable medium storing computer program instructions,
(A) a computer including a processor including a medical care provider, a first clinical result tracking and analysis module, a second clinical result monitoring and analysis module communicatively linked to the first clinical result tracking and analysis module via a network, A first client device including a clinical result tracking and analysis module, and a payer; And (B) a computer including a processor including the first clinical result tracking and analysis module, a third clinical result tracking and analysis module communicatively linked to the first clinical result tracking and analysis module via the network, A second client device that includes a second client device, and interactions between the patient,
Wherein the computer program instructions, when executed on a processor including the first clinical outcome tracking and analysis module, cause the first clinical outcome and tracking module to perform operations comprising:
The following operations:
(a) describing a preceding biological variation by grouping patients in a patient population, effectively removing said biological variation as an element of care value, and leaving the treatment variance as a major component of the treatment outcome, said leaving action comprising:
(i) receiving and collecting personal health information from each patient within the patient population; and collecting and recording the information in a database, the personal health information comprising respective parameters and current scientific knowledge or medical guidelines Including information that affects survival, prognosis, or treatment based on;
(ii) providing a categorized set of personal health information for the population, and using a classification filter to identify patients satisfying respective parameters in the patient population, Categorize information;
(iii) based on personal health information associated with the patient population by classifying similar personal health information and generating and assigning a plurality of clinical outcome tracking and analysis nodal addresses (CNAs) within the first clinical outcome tracking and analysis module Grouping the types of patients in the patient population and generating and assigning the plurality of nodal addresses:
(1) expressing each CNA with punctuated discrete digits containing a prefix, a middle, and a suffix that represent a set of pre-selected variables that divide the categorized and separated information into a clinically relevant set of health information ;
(2) enable analysis of the resulting clinical and cost result variability from the ideal value expressed as the best clinical outcome at the first action and then at the lowest possible cost, at the required time to avoid unnecessary care and avoid unnecessary care Based on the punctuated column of discrete digits representing each CNA that makes it possible to reduce an enormous amount of possible permutations to a reduced number of clinically meaningful permutations to increase care value - - means better clinical results;
(3) reducing processing time and processing requirements that are effective for real-time monitoring of healthcare provider performance based on the number of discrete digits implying each CNA representing the punctuation and reduction of the permutations; And
(4) stopping the treatment flow to enable predicting of the key points at which the behavioral change is likely to occur and to avoid over / under use of care to prevent the behavioral change;
(iv) measuring a clinical result for each nodal address by analyzing a clinically relevant set of personal health information for a subset of the patient population for one or more patients in the subset of the patient population; And
(v) comparing the differences between one medical care provider and the other medical care provider in terms of treatment, testing, follow-up care, compliance and cost of prescribed medications for each patient within the patient population assigned to each CNA Measures behavioral changes for each caregiver in each patient within the patient population assigned to the CNA
- performed;
(b) receiving from the payer a second clinical result tracking and analysis module that includes communications identifying health care services under consideration for a patient covering health care services and parameters selected by the payer When receiving through the first client service,
(1 ') clinical outcome data for each CNA in (iv);
(2 ') (v) for each health care provider of each CNA;
(3 ') an expense report including real-time cost data for treating each patient in the patient population assigned to the CNA in (iii); And
(4 ') one or more graphical analyzes that correlate the cost of care to clinical outcomes
To the second clinical result tracking and analysis module,
(a ') that the medical service is at an appropriate delivery or service level, taking into account the potential benefits and harms to the patient;
(b ') that said medical service is effective at improving clinical outcomes and improving health outcomes by reducing total care costs;
(c ') Compared to alternative health interventions or interventions, the service is cost-effective for the medical condition and clinical outcome being treated; And
(d ') that the service follows a generally accepted medical practice
The payer establishes at key points, and
The payer being sufficient to approve payment to the medical care provider for the medical service;
(c) when exchanging a series of communications with the patient through the second client device including the third clinical result tracking and analysis module,
An act of providing the patient with complete medical care, assessment and information sufficient to assign the CNA to the patient, and
Determine an optimal care level with a reduced risk of adverse deviation; And using the CNA to select a health care provider and a desired level of CNA-induced care,
The series of communications includes:
(i '') in response to a first communication from a patient reporting a health concern to a processor of a computer server comprising the first clinical result tracking and analysis module, Sending a second communication comprising a list of tests to the second client device including the third clinical result tracking and analysis module;
in response to a third communication from the patient comprising the results of the tests required to diagnose the health concern at the first step (ii ") (i"), Sending a fourth communication comprising a list of tests and a diagnosis of the medical condition to the second client device comprising the third clinical result and analysis module;
(ii '') in response to a fifth communication from said patient comprising results of said additional tests at step (iii '') (i "&Quot;),< / RTI >
assigning a CNA to the patient from the plurality of CNAs available in (a ") a (iii); the assigned CNA comprising a clinically relevant set of health information for the patient; And
(b ") transmitting a sixth communication to the second client device comprising the third clinical result tracking module, the sixth communication comprising:
(1 ") the assigned CNA; And
(2 ") comprising a geographically organized list of medical professionals treating patients within the assigned nodal address, the list of medical professionals being distinguished by one or more of geography, clinical outcome or cost;
in response to a seventh communication from a patient selecting an optimal care plan having a medical professional meeting at least one of the reduced risk of adverse deviation (iv ") and the patient's geographic, cost and outcome needs, Comprising: communicatively linking to a computing device comprising a third clinical result tracking and analysis module in an office of the selected medical professional to enable scheduling appointments of an expert and a patient; media. 22. The method of claim 21,
The parameters of the classification in (a) (a) and (ii) above may be used for the purposes of gender, age, ethnicity, complication, tobacco use, insurance source, medical record number, primary care physician, Disease-comprising at least one of a specific clinical molecular phenotype, a therapeutic intent, a therapeutic phase, a biomarker, and a care cost; or
(b) the set of preselected variables in (a) (iii) (1) comprises a disease-specific clinical molecular phenotype; or a sequence of digits representing a phenotype is determined based on a directional graph; or
(c) The key points in steps (a), (iii) (4) and (b) (i ') (4') are: At the time of drug change; Depending on the toxicity, and the tendency to fluctuate from the desired result; or
(d) The correlation of care costs to the clinical outcome stage in (b) (1 ') (4') is dependent on the incidence of toxicity, severity of toxicity; therapy; And correlating one or more of the cost of care and the quality of life to the care outcome; or
(e) receiving a transmission from the client device in (b) or (c) via a human user or a technical process; or
(c) the assigned CNA in (c) (iii ") (b") (1 ") is associated with one or more bundles of predetermined patient care services for treatment of the condition; or
The clinical results in (g) (c) (iii ") (b") (2 ") are based on the accepted therapeutic agent, the intensity of the administered dose, the dosage interval, Metrics, toxicity to therapy, progression-free survival, overall survival, response metrics, and mortality; or
(h) the list of medical professionals in step (c) (iii ") (b") (2 ") is visually distinguished by clinical results. 23. The method of claim 22,
23. The non-transitory computer readable medium of claim 22, wherein the one or more bundles of the predetermined patient care services provide a predetermined treatment course, cost certainty for treatment of the condition, or both. 23. The method of claim 22,
22. The method of claim 22, further comprising identifying a best clinical outcome at a minimum care cost of the assigned CNA by ranking both the clinical outcome and the care cost in one or more bundles of the predetermined patient care services. Non-transient computer readable medium. 3. The method of claim 2,
In (h) of claim 2, the visual distinction of the list of medical professionals according to the clinical result is:
(a) green to show better clinical results than average;
(b) yellow indicating average clinical outcome; And
(c) a non-transient computer readable medium comprising red that exhibits poorer clinical results than average. 22. The method of claim 21,
With permission from the patient and the selected medical professional:
Further comprising transmitting from the first clinical result tracking and analysis module the patient ' s personal health information to a computing device including a fourth clinical result tracking and analysis module in the selected medical professional's office, Available media. 22. The method of claim 21,
In step (d) (2), the behavior variation data for each health care provider of each CNA in (c) contributes to the adverse variation of the care care provider for each CNA patient at key points during treatment Comprising both necessary and unnecessary care of the member to be performed by the user. 22. The method of claim 21,
Wherein the step (d) further comprises indicating that the service is for diagnostic or therapeutic purposes of a medical condition. 22. The method of claim 21,
In steps (d) and (3 '), the cost report comprises:
A comparison between physician and average cost per benefit; or
Hospital contribution margins in dollar and percent comparisons; or
Hospital average earnings per patient; or
Hospital average cost per patient; or
Average cost per case for each physician, weighted peer average; or
The average cost of imaging, laboratory work, assessment and management; or
Medicines, medical supplies and other costs for each physician; or
And combinations thereof. ≪ RTI ID = 0.0 > A < / RTI > 22. The method of claim 21,
In step (b) (i '), the variables selected by the payer are variables that identify certain attributes of the personal health information as a set of desired characteristics; Or both, added to the personal health information by the payer to identify each patient ' s personal health information as being of the same level of importance as other health information in the patient population database, Transient computer readable medium.

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