Abstract: A system architecture for linking one or more derived objects to existing data objects in a data structure can be organized in a variety of forms. A method for establishing the architecture may include linking first and second data objects. linking first and second data objects. The first and second data objects may be associated with corresponding first and second pluralities of properties. The method may include receiving a first user limitation associated with at least one of the first or second pluralities of properties and receiving a second user limitation associated with at least one of the first or second pluralities of properties. The method can include deriving a conclusion object comprising a third plurality of properties comprising a subset of one or more of the first or second pluralities of properties and linking the conclusion object to the first and second data objects.

Abstract: Methods and computer apparatuses are disclosed for processing genomic data in at least partially automated workflows of modules. A method comprises: specifying a source from which nucleic acid sequence(s) are to be obtained; selecting module(s) for processing data, including at least one module for processing the one or more nucleic acid sequences; presenting, in a graphical user interface, graphical components representing the source and the module(s) as nodes within a workspace; receiving, via the graphical user interface, inputs arranging the source and the module(s) as a workflow comprising a series of nodes, the series indicating, for each particular module, that output from one of the source or another particular module is to be input into the particular module; generating an output for the workflow based upon the nucleic acid sequence(s) by processing each module in an order indicated by the series.

Abstract: Various systems and methods are provided that aggregate, analyze, and display health data for users. The system aggregates data stored in various databases. For example, the system retrieves data from these databases, maps the data to a set of common terms based on an ontology, and displays such information to an entity accessing the system. Rather than converting the data stored in the databases into a standardized format, the system includes a set of ontologies that provide a correlation between a first set of fields and a second set of fields. The system determines a correlation between a first field in the first set of fields and a second field in the second set of fields using the ontology, stores data retrieved from the database in a second database in association with the second field, and displays the data associated with the first field under the second field.

Abstract: A system architecture for linking one or more derived objects to existing data objects in a data structure can be organized in a variety of forms. A method for establishing the architecture may include linking first and second data objects. linking first and second data objects. The first and second data objects may be associated with corresponding first and second pluralities of properties. The method may include receiving a first user limitation associated with at least one of the first or second pluralities of properties and receiving a second user limitation associated with at least one of the first or second pluralities of properties. The method can include deriving a conclusion object comprising a third plurality of properties comprising a subset of one or more of the first or second pluralities of properties and linking the conclusion object to the first and second data objects.

Abstract: Various systems and methods are provided that aggregate, analyze, and display health data for users. The system aggregates data stored in various databases. For example, the system retrieves data from these databases, maps the data to a set of common terms based on an ontology, and displays such information to an entity accessing the system. Rather than converting the data stored in the databases into a standardized format, the system includes a set of ontologies that provide a correlation between a first set of fields and a second set of fields. The system determines a correlation between a first field in the first set of fields and a second field in the second set of fields using the ontology, stores data retrieved from the database in a second database in association with the second field, and displays the data associated with the first field under the second field.

Abstract: A system architecture for linking one or more derived objects to existing data objects in a data structure can be organized in a variety of forms. A method for establishing the architecture may include linking first and second data objects. The first data object may include a first plurality of properties, and the second data object may include a second plurality of properties. At least one of the second plurality of properties may be based on the first plurality of properties. The method may further include receiving, by a computer, a user limitation of a property type that is associated with the at least one of the second plurality of properties. The method may include deriving, based on the user limitation, a new object that includes a third plurality of properties. The third plurality of properties may include a subset of one or more of the first and second pluralities of properties. The new object may be linked to the first and second data objects.

Abstract: Methods and computer apparatuses are disclosed for processing genomic data in at least partially automated workflows of modules. A method comprises: specifying a source from which nucleic acid sequence(s) are to be obtained; selecting module(s) for processing data, including at least one module for processing the one or more nucleic acid sequences; presenting, in a graphical user interface, graphical components representing the source and the module(s) as nodes within a workspace; receiving, via the graphical user interface, inputs arranging the source and the module(s) as a workflow comprising a series of nodes, the series indicating, for each particular module, that output from one of the source or another particular module is to be input into the particular module; generating an output for the workflow based upon the nucleic acid sequence(s) by processing each module in an order indicated by the series.

Abstract: Methods and computer apparatuses are disclosed for processing genomic data in at least partially automated workflows of modules. A method comprises: specifying a source from which nucleic acid sequence(s) are to be obtained; selecting module(s) for processing data, including at least one module for processing the one or more nucleic acid sequences; presenting, in a graphical user interface, graphical components representing the source and the module(s) as nodes within a workspace; receiving, via the graphical user interface, inputs arranging the source and the module(s) as a workflow comprising a series of nodes, the series indicating, for each particular module, that output from one of the source or another particular module is to be input into the particular module; generating an output for the workflow based upon the nucleic acid sequence(s) by processing each module in an order indicated by the series.

Abstract: Computer-implemented systems and methods are provided for analyzing healthcare-related entity performance. In one implementation, a method is implemented with one or more processors and includes receiving a request that includes one or more filter selections and accessing a data structure including information that specifies a plurality of categories of healthcare-related interactions associated with multiple healthcare-related entities. The method also includes identifying a set of categories from the plurality of categories based on the one or more filter selections and processing the information of the identified categories to provide performance information of one or more entities of the multiple healthcare-related entities in accordance with the one or more filter selections. The method further includes generating a user interface that includes the performance information indicating a performance of the one or more entities.

Abstract: Methods and computer apparatuses are disclosed for processing genomic data in at least partially automated workflows of modules. A method comprises: specifying a source from which nucleic acid sequence(s) are to be obtained; selecting module(s) for processing data, including at least one module for processing the one or more nucleic acid sequences; presenting, in a graphical user interface, graphical components representing the source and the module(s) as nodes within a workspace; receiving, via the graphical user interface, inputs arranging the source and the module(s) as a workflow comprising a series of nodes, the series indicating, for each particular module, that output from one of the source or another particular module is to be input into the particular module; generating an output for the workflow based upon the nucleic acid sequence(s) by processing each module in an order indicated by the series.

Abstract: Methods and computer apparatuses are disclosed for processing genomic data in at least partially automated workflows of modules. A method comprises: specifying a source from which nucleic acid sequence(s) are to be obtained; selecting module(s) for processing data, including at least one module for processing the one or more nucleic acid sequences; presenting, in a graphical user interface, graphical components representing the source and the module(s) as nodes within a workspace; receiving, via the graphical user interface, inputs arranging the source and the module(s) as a workflow comprising a series of nodes, the series indicating, for each particular module, that output from one of the source or another particular module is to be input into the particular module; generating an output for the workflow based upon the nucleic acid sequence(s) by processing each module in an order indicated by the series.

Abstract: Systems and techniques for sharing healthcare fraud data are described herein. Healthcare fraud detection schemes and/or fraud data may be automatically shared, investigated, enabled, and/or used by entities. A healthcare fraud detection scheme may be enabled on different entities comprising different computing systems to combat similar healthcare fraud threats, instances, and/or attacks. Healthcare fraud detection schemes and/or fraud data may be modified to redact sensitive information and/or configured through access controls for sharing.

Abstract: Methods and computer apparatuses are disclosed for processing genomic data in at least partially automated workflows of modules. A method comprises: specifying a source from which nucleic acid sequence(s) are to be obtained; selecting module(s) for processing data, including at least one module for processing the one or more nucleic acid sequences; presenting, in a graphical user interface, graphical components representing the source and the module(s) as nodes within a workspace; receiving, via the graphical user interface, inputs arranging the source and the module(s) as a workflow comprising a series of nodes, the series indicating, for each particular module, that output from one of the source or another particular module is to be input into the particular module; generating an output for the workflow based upon the nucleic acid sequence(s) by processing each module in an order indicated by the series.

Abstract: Methods and computer apparatuses are disclosed for processing genomic data in at least partially automated workflows of modules. A method comprises: specifying a source from which nucleic acid sequence(s) are to be obtained; selecting module(s) for processing data, including at least one module for processing the one or more nucleic acid sequences; presenting, in a graphical user interface, graphical components representing the source and the module(s) as nodes within a workspace; receiving, via the graphical user interface, inputs arranging the source and the module(s) as a workflow comprising a series of nodes, the series indicating, for each particular module, that output from one of the source or another particular module is to be input into the particular module; generating an output for the workflow based upon the nucleic acid sequence(s) by processing each module in an order indicated by the series.

Abstract: Techniques are provided for querying medical claims data. In an embodiment, responding to selection of a health care fraud scheme template from among a plurality of health care fraud scheme templates by displaying a partial query statement defined by the selected health care fraud scheme template; and based on a parameter indicated by the selected health care fraud template, displaying at least one interface control element embedded within the partial query statement. An input indicating the value for the parameter of the partial query statement is received. Generating a converted query in a database querying language that a particular database system is configured to interpret based at least on the partial query statement, the parameter, and the specified value for the parameter. The particular database system is caused to execute the converted query to identify query results comprising health care data based on the converted query.

Abstract: Systems and techniques for sharing healthcare fraud data are described herein. Healthcare fraud detection schemes and/or fraud data may be automatically shared, investigated, enabled, and/or used by entities. A healthcare fraud detection scheme may be enabled on different entities comprising different computing systems to combat similar healthcare fraud threats, instances, and/or attacks. Healthcare fraud detection schemes and/or fraud data may be modified to redact sensitive information and/or configured through access controls for sharing.

Abstract: Computer-implemented systems and methods are provided for analyzing healthcare-related entity performance. In one implementation, a method is implemented with one or more processors and includes receiving a request that includes one or more filter selections and accessing a data structure including information that specifies a plurality of categories of healthcare-related interactions associated with multiple healthcare-related entities. The method also includes identifying a set of categories from the plurality of categories based on the one or more filter selections and processing the information of the identified categories to provide performance information of one or more entities of the multiple healthcare-related entities in accordance with the one or more filter selections. The method further includes generating a user interface that includes the performance information indicating a performance of the one or more entities.

Abstract: Computer-implemented systems and methods are provided for analyzing healthcare-related entity performance. In one implementation, a method is implemented with one or more processors and includes accessing a data structure including information that specifies healthcare-related interactions and identifying, from the data structure, a first set of interactions associated with a first healthcare-related entity. The method also includes identifying, from the data structure, a second set of interactions associated with one or more filter selections and processing the information of the identified first and second set of interactions to provide performance information of the first healthcare-related entity and one or more healthcare-related entities associated with the one or more filter selections.

Abstract: A system for, among other purposes, detecting health care fraud, comprises a data import component for importing health care data from data source(s) such health care providers, insurers, or pharmacies; data repositor(ies) in which the data import component creates health care objects such as provider objects that describe health care providers, patient objects that represent health care recipients, and health care event objects that describe one or more of: health care claims, prescriptions, medical procedures, or diagnoses; a correlation component that identifies correlations between the health care objects; a graph generator component that generates graphs of networks identified based at least on the correlations identified by the correlation component, the graphs comprising linked nodes that represent health care objects in the identified networks; and an interface generator that generates interfaces that display the graphs generated by the graph generator.