Distributed network for the secured collection, analysis, and sharing of data across platforms

Abstract

Computer-implemented methods and systems for managing the collection of and access to behavior assessment data. In an embodiment, a first user having authority to act on behalf of an individual under study identifies a second and third user role, specifies behavior data, symptom measurement data, and/or medicine regimen data associated with the individual under study, and defines access permissions for the second and third user roles with respect to the behavior data and symptom measurement data. The symptoms and behaviors to be measured are specified based on a condition of the individual. Users provide behavior data and symptom measurement data observed from the individual. An analytics module performs computational analysis on the behavior data and symptom measurement data, thereby producing behavior assessment data. A reporting module presents the behavior assessment data to the users in a manner consistent with the defined access permissions.

What is claimed is: 
     
         1 . A system for managing the collection of and access to behavior assessment data, the system comprising:
 one or more processors; and   a memory coupled with the one or more processors;   wherein the one or more processors execute a plurality of modules stored in the memory, and wherein the plurality of modules comprises:   a graphical user interface at which:
 a first user having authority to act on behalf of an individual under study identifies a second user role and a third user role, specifies one or more of behavior data, symptom measurement data, and medicine regimen data associated with the individual under study, and defines access permissions for the second and third user roles with respect to the behavior data and symptom measurement data, wherein the symptoms and behaviors to be measured are specified based on a condition of the individual under study; and 
 users provide behavior data and symptom measurement data observed from the individual under study according to either a second user role or third user role based at least in part on the access permissions specified by the first user; 
   an authentication module comprising computer-executable instructions for enforcing the access permissions such that the second user role is limited to providing and accessing a first subset of the behavior data and symptom measurement data and the third user role is limited to providing and accessing a second subset of the behavior data and symptom measurement data;   an analytics module comprising computer-executable instructions for performing computational analysis on the behavior data and symptom measurement data, thereby producing behavior assessment data; and   a reporting module for presenting the behavior assessment data to the first user, second user, and third user in a manner consistent with the defined access permissions specified by the first user.   
     
     
         2 . The system of  claim 1 , wherein the individual is the first user. 
     
     
         3 . The system of  claim 1 , wherein the analytics module further applies a classifier model to the provided behavior data and symptom measurement data to create a composite profile. 
     
     
         4 . The system of  claim 3 , wherein the classifier model comprises at least one of linear/logistic regression, principal component analysis, generalized linear mixed models, random decision forests, support vector machines, or artificial neural networks. 
     
     
         5 . The system of  claim 3 , wherein the classifier model identifies a correlation between (i) the provided behavior data and symptom measurement data and (ii) data collected in connection with individuals who have exhibited desirable treatment response times. 
     
     
         6 . The system of  claim 5 , wherein the correlation identifies at least one of an effective intervention, treatment efficacy, and drug performance. 
     
     
         7 . The system of  claim 3 , wherein the classifier model identifies an impairment in the individual, said impairment not currently being treated. 
     
     
         8 . The system of  claim 1 , wherein the analytics module further applies a classifier model for classifying the individual with respect to a likelihood of at least one of an onset or a progression of the condition. 
     
     
         9 . The system of  claim 1 , wherein the behavior assessment data supports a formulation of a course of treatment or modification of a course of treatment. 
     
     
         10 . The system of  claim 1 , further comprising a usage analytics database for storing and providing usage analytics data to the analytics module. 
     
     
         11 . The system of  claim 1 , further comprising an accounts and profiles database for storing and transmitting user account and profile data to the authentication module. 
     
     
         12 . The system of  claim 1 , further comprising a preferences database for storing and transmitting user preferences to the authentication module. 
     
     
         13 . The system of  claim 1 , further comprising a health database for storing and transmitting health information data to the reporting module. 
     
     
         14 . The system of  claim 1 , wherein the symptom data comprises performance metric data generated based on the individual's interactions with a cognitive platform. 
     
     
         15 . The system of  claim 1 , further comprising a content module configured to generate one or more content queries based at least in part on the behavior assessment data. 
     
     
         16 . The system of  claim 14 , wherein the content module is further configured to:
 submit the one or more content queries to at least one content library comprising a content index; and   analyze content received from the at least one content library to determine a relevance to a status of the individual determined based on the behavior assessment data.   
     
     
         17 . A computer-implemented method for managing the collection of and access to behavior assessment data, the method comprising:
 using one or more processors to execute instructions stored in one or more memory storage devices comprising computer executable instructions to perform operations including:
 receiving instructions from a first user having authority to act on behalf of an individual under study, the instructions including the identification of a second user role and a third user role, specification of one or more of behavior data and symptom measurement data associated with the individual under study, and definition of access permissions for the second and third user roles with respect to the behavior data and symptom measurement data, wherein the symptoms and behaviors to be measured are specified based on a condition of the individual under study; 
 receiving from users behavior data and symptom measurement data observed from the individual under study according to either a second user role or third user role based at least in part on the access permissions specified by the first user; 
 enforcing the access permissions such that the second user role is limited to providing and accessing a first subset of the behavior data and symptom measurement data and the third user role is limited to providing and accessing a second subset of the behavior data and symptom measurement data; 
 performing computational analysis on the behavior data and symptom measurement data, thereby producing behavior assessment data; and 
 presenting the behavior assessment data to the first user, second user, and third user in a manner consistent with the defined access permissions specified by the first user. 
   
     
     
         18 . The computer-implemented method of  claim 17 , wherein the individual is a child. 
     
     
         19 . The computer-implemented method of  claim 17 , wherein the individual is an adult. 
     
     
         20 . The computer-implemented method of  claim 17 , wherein the individual is the first user. 
     
     
         21 . The computer-implemented method of  claim 17 , wherein at least a portion of the behavior data comprises measurements of a behavior based on diagnostic and symptom criteria for the condition. 
     
     
         22 . The computer-implemented method of  claim 17 , wherein the behavior data comprises at least one of homework assignment completion, frequency and quality of performing chores, and quality of getting along with a person acting on behalf of the individual. 
     
     
         23 . The computer-implemented method of  claim 17 , wherein at least a portion of the symptom measurement data comprises measurements of a symptom on a clinically validated symptom list for the condition. 
     
     
         24 . The computer-implemented method of  claim 17 , wherein the symptom measurement data comprises physiological data. 
     
     
         25 . The computer-implemented method of  claim 24 , wherein the physiological data comprises at least one of electrical activity, heart rate, blood flow, and oxygenation levels. 
     
     
         26 . The computer-implemented method of  claim 17 , wherein the first user is a parent of the individual. 
     
     
         27 . The computer-implemented method of  claim 17 , wherein the second user is a teacher of the individual. 
     
     
         28 . The computer-implemented method of  claim 17 , wherein the third user is a practitioner treating the individual. 
     
     
         29 . The computer-implemented method of  claim 17 , wherein the behavior assessment data comprises (i) pace of response of the individual to a treatment, (ii) a likelihood of onset and/or stage of progression of the condition, (iii) efficacy of medication at controlling a behavior, (iv) efficacy of medication at addressing a symptom of the condition. 
     
     
         30 . The computer-implemented method of  claim 17 , wherein performing computational analysis comprises applying a classifier model to the behavior data and symptom measurement data to create a composite profile. 
     
     
         31 . The computer-implemented method of  claim 30 , wherein the classifier model comprises at least one of linear/logistic regression, principal component analysis, generalized linear mixed models, random decision forests, support vector machines, or artificial neural networks. 
     
     
         32 . The computer-implemented method of  claim 30 , wherein the classifier model identifies a correlation between (i) the provided behavior data and symptom measurement data and (ii) data collected in connection with individuals who have exhibited desirable response times. 
     
     
         33 . The computer-implemented method of  claim 30 , wherein the correlation identifies at least one of an effective intervention, treatment efficacy, and drug performance. 
     
     
         34 . The computer-implemented method of  claim 30 , further comprising applying the classifier model for classifying the individual with respect to a likelihood of at least one of an onset or a progression of the condition. 
     
     
         35 . The computer-implemented method of  claim 30 , wherein the classifier model identifies an impairment in the individual, said impairment not currently being treated. 
     
     
         36 . The computer-implemented method of  claim 17 , wherein symptom data comprises performance metric data generated based on the individual's interactions with a cognitive platform. 
     
     
         37 . The computer-implemented method of  claim 17 , further comprising a content module configured to generate one or more content queries based at least in part on the behavior assessment data. 
     
     
         38 . The computer-implemented method of  claim 37 , wherein the content module is further configured to:
 submit the one or more content queries to at least one content library comprising a content index; and   analyze content received from the at least one content library to determine a relevance to a status of the individual determined based on the behavior assessment data.   
     
     
         39 . A computer-implemented method for managing the collection of and access to behavior assessment data, the method comprising:
 using one or more processors to execute instructions stored in one or more memory storage devices comprising computer executable instructions to perform operations including:
 receiving instructions from a first user having authority to act on behalf of an individual under study, the instructions including the identification of a second user role and a third user role, specification of one or more of behavior data, symptom measurement data, and medicine regimen data associated with the individual under study, and definition of access permissions for the second and third user roles with respect to the behavior data and symptom measurement data, wherein the symptoms and behaviors to be measured are specified based on a condition of the individual under study; 
 receiving from users behavior data and symptom measurement data observed from the individual under study according to either a second user role or third user role based at least in part on the access permissions specified by the first user; 
 enforcing the access permissions such that the second user role is limited to providing and accessing a first subset of the behavior data and symptom measurement data and the third user role is limited to providing and accessing a second subset of the behavior data and symptom measurement data; 
 performing computational analysis on the behavior data and symptom measurement data, thereby producing behavior assessment data; and 
 presenting the behavior assessment data to the first user, second user, and third user in a manner consistent with the defined access permissions specified by the first user, 
 wherein the condition is selected from the group consisting of neuropsychological condition, a neurodegenerative condition, or an executive function disorder. 
   
     
     
         40 . The computer-implemented method of  claim 39 , wherein the individual is the first user. 
     
     
         41 . The computer-implemented method of  claim 39 , wherein the condition is selected from the group consisting of dementia, Parkinson's disease, cerebral amyloid angiopathy, familial amyloid neuropathy, Huntington's disease, autism spectrum disorder (ASD), presence of 16p11.2 duplication, attention deficit hyperactivity disorder (ADHD), sensory-processing disorder (SPD), mild cognitive impairment (MCI), Alzheimer's disease, multiple-sclerosis, schizophrenia, major depressive disorder (MDD), or anxiety. 
     
     
         42 . The computer-implemented method of  claim 41 , wherein the individual is a child with attention deficit hyperactivity disorder. 
     
     
         43 . The computer-implemented method of  claim 42 , wherein the first user is a parent of the child. 
     
     
         44 . The computer-implemented method of  claim 42 , wherein the behavior data comprises at least one of homework assignment completion, frequency and quality of performing chores, and quality of getting along with the parent acting on behalf of the child. 
     
     
         45 . The computer-implemented method of  claim 42 , wherein the symptom data comprises at least one of inattentiveness, impulsivity, and hyperactivity. 
     
     
         46 . The computer-implemented method of  claim 42 , wherein the behavior assessment data comprises (i) pace of response of the child to a treatment, (ii) a likelihood of onset and/or stage of progression of ADHD, (iii) efficacy of medication at controlling a behavior, and (iv) efficacy of medication at addressing a symptom of ADHD. 
     
     
         47 . The computer-implemented method of  claim 42 , further comprising presenting contextually relevant content to the first, second, and third users. 
     
     
         48 . The computer-implemented method of  claim 42 , wherein the second user is a teacher. 
     
     
         49 . The computer-implemented method of  claim 42 , wherein the third user is a healthcare provider and the behavior assessment data supports the third user in a formulation of a course of treatment or modification of a course of treatment. 
     
     
         50 . The computer-implemented method of  claim 41 , wherein the individual is an adult with a major depressive disorder. 
     
     
         51 . The computer-implemented method of  claim 50 , wherein the first user is the adult. 
     
     
         52 . The computer-implemented method of  claim 50 , wherein the behavior data comprises at least one of eating less, sleeping less, experiencing unexplained aches and pains, reduced interaction with friends and family, and absenteeism from work. 
     
     
         53 . The computer-implemented method of  claim 50 , wherein the symptom data comprises at least one of sadness, low self-esteem, loss of motivation, irritability, and decreased energy. 
     
     
         54 . The computer-implemented method of  claim 50 , wherein the behavior assessment data comprises (i) pace of response of the adult to a treatment, (ii) a likelihood of onset and/or stage of progression of the major depressive disorder, (iii) efficacy of medication at controlling a behavior, and (iv) efficacy of medication at addressing a symptom of the major depressive disorder. 
     
     
         55 . The computer-implemented method of  claim 50 , further comprising presenting contextually relevant content to the first, second, and third users. 
     
     
         56 . The computer-implemented method of  claim 50 , wherein the second user is a family member of the individual. 
     
     
         57 . The computer-implemented method of  claim 50 , wherein the third user is a healthcare provider and the behavior assessment data supports the third user in a formulation of a course of treatment or modification of a course of treatment. 
     
     
         58 . A system for managing the collection of and access to behavior assessment data, the system comprising:
 one or more processors; and   a memory coupled with the one or more processors;   wherein the one or more processors execute a plurality of modules stored in the memory, and wherein the plurality of modules comprises:   a graphical user interface at which:
 a first user having authority to act on behalf of an individual under study identifies a second user role and a third user role, specifies one or more of behavior data and symptom measurement data associated with the individual under study, and defines access permissions for the second and third user roles with respect to the behavior data and symptom measurement data, wherein the symptoms and behaviors to be measured are specified based on a condition of the individual under study; and 
 users provide behavior data and symptom measurement data observed from the individual under study according to either a second user role or third user role based at least in part on the access permissions specified by the first user; 
   an authentication module comprising computer-executable instructions for enforcing the access permissions such that the second user role is limited to providing and accessing a first subset of the behavior data and symptom measurement data and the third user role is limited to providing and accessing a second subset of the behavior data and symptom measurement data;   an analytics module comprising computer-executable instructions for performing computational analysis on the behavior data and symptom measurement data, thereby producing behavior assessment data; and   a reporting module for presenting the behavior assessment data to the first user, second user, and third user in a manner consistent with the defined access permissions specified by the first user,   wherein the condition is selected from the group consisting of a neuropsychological condition, a neurodegenerative condition, or an executive function disorder.   
     
     
         59 . The system of  claim 58 , wherein the individual is the first user. 
     
     
         60 . The system of  claim 58 , wherein the condition is selected from the group consisting of dementia, Parkinson's disease, cerebral amyloid angiopathy, familial amyloid neuropathy, Huntington's disease, autism spectrum disorder (ASD), presence of 16p11.2 duplication, attention deficit hyperactivity disorder (ADHD), sensory-processing disorder (SPD), mild cognitive impairment (MCI), Alzheimer's disease, multiple-sclerosis, schizophrenia, major depressive disorder (MDD), or anxiety. 
     
     
         61 . The system of  claim 60 , wherein the individual is a child with attention deficit hyperactivity disorder. 
     
     
         62 . The system of  claim 61 , wherein the first user is a parent of the child. 
     
     
         63 . The system of  claim 62 , wherein the behavior data comprises at least one of homework assignment completion, frequency and quality of performing chores, and quality of getting along with the parent acting on behalf of the child. 
     
     
         64 . The system of  claim 61 , wherein the symptom data comprises at least one of inattentiveness, impulsivity, and hyperactivity. 
     
     
         65 . The system of  claim 61 , wherein the behavior assessment data comprises (i) pace of response of the child to a treatment, (ii) a likelihood of onset and/or stage of progression of ADHD, (iii) efficacy of medication at controlling a behavior, and (iv) efficacy of medication at addressing a symptom of ADHD. 
     
     
         66 . The system of  claim 61 , wherein the reporting module presents contextually relevant content to the first, second, and third users. 
     
     
         67 . The system of  claim 61 , wherein the second user is a teacher. 
     
     
         68 . The system of  claim 61 , wherein the third user is a healthcare provider and the behavior assessment data supports the third user in a formulation of a course of treatment or modification of a course of treatment. 
     
     
         69 . The system of  claim 56 , wherein the individual is an adult with a major depressive disorder. 
     
     
         70 . The system  claim 69 , wherein the first user is the adult. 
     
     
         71 . The system of  claim 69 , wherein the behavior data comprises at least one of eating less, sleeping less, experiencing unexplained aches and pains, reduced interaction with friends and family, and absenteeism from work. 
     
     
         72 . The system of  claim 69 , wherein the symptom data comprises at least one of sadness, low self-esteem, loss of motivation, irritability, and decreased energy. 
     
     
         73 . The system of  claim 69 , wherein the behavior assessment data comprises (i) pace of response of the adult to a treatment, (ii) a likelihood of onset and/or stage of progression of the major depressive disorder, (iii) efficacy of medication at controlling a behavior, and (iv) efficacy of medication at addressing a symptom of the major depressive disorder. 
     
     
         74 . The system of  claim 69 , wherein the reporting module presents contextually relevant content to the first, second, and third users. 
     
     
         75 . The system of  claim 69 , wherein the second user is a family member of the individual. 
     
     
         76 . The system of  claim 69 , wherein the third user is a healthcare provider and the behavior assessment data supports the third user in a formulation of a course of treatment or modification of a course of treatment.