AI-enhanced, user programmable, socially networked system

A system for artificial intelligence (Al) enhanced, user programmable, and socially networked medical record exchange, and medical and public health situation assessment and response management, comprising one or more processors configured to execute:

• a multi-source health data integration logic configured to:
• receive a first source electronic health record (EHR) data containing electronic personal information and EHR metadata from a first EHR system;
• receive a first EHR system sovereignty specification corresponding to the first EHR data;
• receive a second source electronic health record EHR data containing electronic personal information and EHR metadata from a second EHR system;
• receive a second EHR system sovereignty specification corresponding to the second EHR data;
• provide a knowledge representation schema;
• transform health-related information content of the first source EHR data to a first source transformed health data, in accordance with the knowledge representation schema;
• and
• transform health-related information content of the second source EHR data to a second source transformed health data, in accordance with the knowledge representation schema;
• a phenotype engine comprising:
• a natural language processor, phenotype processor, artificial intelligence data processor, and interoperability processor;
• the phenotype engine configured to generate an integrated phenotype reference model;
• pre-warehouse logic for transforming, consolidating, conforming, dimensionalizing and codifying staged records;
• the phenotype processor configured to analyze archived data;
• determine how a mistake occurred;
• and rebuild the integrated phenotype reference model;
• a virtual data warehouse and collaboration platform configured to:
• host a multi-source transformed health data database comprising transformed first source health data and the transformed second source health data,
• host telecollaboration activities among a plurality of participants, regarding content of the multi-source transformed health data database;
• analyze the multi-source transformed health data database and telecollaboration activities;
• host health data analysis and Al tools configured to generate health management data based on analysis of the multi-source transformed health data database and telecollaboration activities;
• information extraction and data sovereignty wrapping logic configured to generate sovereignty protective wrapped template loaded generic transformed electronic health record system sourced electronic health information data;
• the information extraction and data sovereignty wrapping logic configured to:
• extract ePHI content and EHR metadata from system sourced ePHI data into extraction information content;
• transform the extracted information content of the ePHI content and EHR metadata into generic transformed (GTR) electronic health record (EHR) system sourced electronic personal health information (ePHI) data and GTR EHR metadata;
• load the GTR EHR system sourced ePHI data into generic ePHI template to form template loaded GTR EHR system sourced ePHI data;
• load the GTR EHR metadata into a generic EHR metadata template to form template loaded GTR EHR metadata;
• wrap the template loaded GTR EHR system sourced ePHI data with a sovereignty protective (SP) wrapping that complies with the EHR sovereignty specification to form SP wrapped template loaded GTR EHR system sourced ePHI data;
• wrap the template loaded GTR EHR metadata with a sovereignty protective (SP) wrapping that complies with the EHR sovereignty specification to form SP wrapped template loaded GTR EHR metadata;
• store the SP wrapped template loaded GTR EHR system sourced ePHI data in a staging database;
• and
• store the SP wrapped template loaded GTR EHR metadata in the staging database.

A system for sovereignty protective extraction and collaborative analysis of information content of electronic health records, and associated medical and public health situation assessment, comprising one or more processors configured to execute:

• a sovereignty protective wrapping logic, configured to
• receive an electronic health record (EHR) data from an EHR system;
• and
• wrap a genericized form of a health-related information content of the EHR data in an EHR system-specific sovereignty protective wrapper;
• a staging database coupled to the sovereignty protective wrapping logic;
• said staging database configured to store the genericized form of the health-related information content of the EHR data in accordance with the EHR system-specific sovereignty protective wrapper;
• the staging database comprising a plurality of staged records;
• the staged records comprising:
• an information control wrapper configured to restrict usage of data information;
• extracted information in a standardized form;
• wherein the extracted information contains electronic health records;
• metadata configured to provide detail about the extracted information;
• origin data comprising source information of the extracted information;
• ownership data comprising information concerning what data provider owns the extracted information;
• and
• encryption data comprising information on how to encrypt the extracted information;
• a transform and concept alignment logic coupled to the staging database;
• said transform and concept alignment logic configured to perform a transforming of the genericized form of the health-related information content to a transformed interoperable health-related data;
• and
• a collaboration platform coupled to the transform and concept alignment logic;
• said collaboration platform configured to perform telecollaborative analysis of the transformed interoperable health-related data;
• the collaborative platform comprising a graphic user interface containing widgets and apps configured to provide users with access to the transformed interoperable health-related data;
• said telecollaborative analysis comprising:
• wrapping telecollaboration data associated with a telecollaboration participant in a telecollaboration participant specific sovereignty protective wrapper;
• maintaining sovereignty of the transformed interoperable health-related data in accordance with the EHR system-specific sovereignty protective wrapper during the telecollaborative analysis of the transformed interoperable health-related data;
• and
• maintaining sovereignty of the telecollaboration data associated with the telecollaboration participant in accordance with the telecollaboration participant specific sovereignty protective wrapper during the telecollaborative analysis of the transformed interoperable health-related data;
• a data warehouse configured to receive the wrapped telecollaboration data from the collaboration platform;
• a first feedback loop for nested sovereignty and primary data requirements, said first feedback loop configured to provide feedback of primary data requirements to data sources;
• and
• a second feedback loop for feature engineering, said second feedback loop configured to provide feature engineering feedback from the data warehouse and collaboration platform to the transform and concept alignment logic;
• the feature engineering feedback comprising utilization patterns of user use of graphical user interface including which widgets and apps are getting the most use.

A method for artificial intelligence (Al) enhanced, user programmable, and socially networked medical record exchange, and medical and public health situation assessment and response management, comprising:

• receiving a first source electronic health record (EHR) data containing electronic personal information and EHR metadata from a first EHR system;
• transforming a first health-related information content of the first source EHR data to a first source transformed health data, in accordance with a knowledge representation schema;
• receiving a second source electronic health record EHR data containing electronic personal information and EHR metadata from a second EHR system;
• transforming a second health-related information content of the second source EHR data to a second source transformed health data, in accordance with the knowledge representation schema;
• misidentifyiag or missing an identification;
• codification logic archiving the transformed data;
• the archived data generated by the codification logic providing sufficient information fora phenotype processor to rebuild an integrated phenotype reference model;
• encoding the archived data;
• storing enough information in the archived data to rebuild the integrated phenotype reference model without saving the integrated phenotype reference model in its entirety;
• generating an integrated phenotype reference model with a phenotype engine comprising:
• a reference data processor, natural language processor, phenotype processor, artificial intelligence data processor, and interoperability processor;
• the phenotype processor:
• analyzing archived data and determining how a mistake occurred;
• rebuilding a part of the integrated phenotype reference model using the archived data without saving the integrated phenotype reference model in its entirety;
• transforming, consolidating, conforming, dimensionalizing and codifying staged records with a pre-warehouse logic;
• analyzing archived data;
• determining how a mistake occurred;
• and rebuilding the integrated phenotype reference model with the phenotype processor;
• hosting a collaboration platform;
• the collaboration platform comprising a multi-source transformed health data database, which includes the transformed first source health data and the transformed second source health data;
• hosting telecollaboration activities among a plurality of participants regarding content of the multi-source transformed health data database;
• and
• hosting health data analysis and Al tools configured to generate health management data based on analysis of the multi-source transformed health data database and telecollaboration activities.

A method for artificial intelligence (Al) enhanced, user programmable, and socially networked medical record exchange, and medical and public health situation assessment and response management, comprising:

• receiving a first source electronic health record (EHR) data containing electronic personal information and EHR metadata from a first EHR system;
• transforming a first health-related information content of the first source EHR data to a first source transformed health data, in accordance with a knowledge representation schema;
• receiving a second source electronic health record EHR data containing electronic personal information and EHR metadata from a second EHR system;
• transforming a second health-related information content of the second source EHR data to a second source transformed health data, in accordance with the knowledge representation schema;
• misidentifyiag or missing an identification;
• codification logic archiving the transformed data;
• the archived data generated by the codification logic providing sufficient information fora phenotype processor to rebuild an integrated phenotype reference model;
• encoding the archived data;
• storing enough information in the archived data to rebuild the integrated phenotype reference model without saving the integrated phenotype reference model in its entirety;
• generating an integrated phenotype reference model with a phenotype engine comprising:
• a reference data processor, natural language processor, phenotype processor, artificial intelligence data processor, and interoperability processor;
• the phenotype processor:
• analyzing archived data and determining how a mistake occurred;
• rebuilding a part of the integrated phenotype reference model using the archived data without saving the integrated phenotype reference model in its entirety;
• transforming, consolidating, conforming, dimensionalizing and codifying staged records with a pre-warehouse logic;
• analyzing archived data;
• determining how a mistake occurred;
• and rebuilding the integrated phenotype reference model with the phenotype processor;
• hosting a collaboration platform;
• the collaboration platform comprising a multi-source transformed health data database, which includes the transformed first source health data and the transformed second source health data;
• hosting telecollaboration activities among a plurality of participants regarding content of the multi-source transformed health data database;
• and
• hosting health data analysis and Al tools configured to generate health management data based on analysis of the multi-source transformed health data database and telecollaboration activities;
• extracting ePHI content and EHR metadata from system sourced ePHI data into extraction information content;
• transforming the extracted information content of the ePHI content and EHR metadata into generic transformed (GTR) electronic health record (EHR) system sourced electronic personal health information (ePHI) data and GTR EHR metadata;
• loading the GTR EHR system sourced ePHI data into generic ePHI template to form template loaded GTR EHR system sourced ePHI data;
• loading the GTR EHR metadata into a generic EHR metadata template to form template loaded GTR EHR metadata;
• wrapping the template loaded GTR EHR system sourced ePHI data with a sovereignty protective (SP) wrapping that complies with the EHR sovereignty specification to form SP wrapped template loaded GTR EHR system sourced ePHI data;
• wrapping the template loaded GTR EHR metadata with a sovereignty protective (SP) wrapping that complies with the EHR sovereignty specification to form SP wrapped template loaded GTR EHR metadata;
• storing the SP wrapped template loaded GTR EHR system sourced ePHI data in a staging database;
• and
• storing the SP wrapped template loaded GTR EHR metadata in the staging database.