Abstract: A system and method for rules-driven adjudication is disclosed. The system includes a storage includes a rule library having a plurality of rules, each rule being in a human-readable format and including a first data tag, a comparator, a comparison value, and a result. The system also includes a rules manager configured to receive and store a new rule. The system includes a rules evaluator configured to receive an adjudication request having a data object associated with a data tag, and evaluate the request and create a primary determination by applying a first rule to the request, and further applying a first subsequent rule and all logically adjacent rules until all logically adjacent rules have been exhausted and the primary determination is an indefinite outcome or the applying of a final rule returns an outcome that becomes the primary determination.

Abstract: A system and method for on-demand data cleansing is disclosed. The system includes a processor and a volatile memory including a data object having a plurality of data fields, each field having a tag and a value. The system also includes a cleansing module stored in the volatile memory and executed by the processor. The cleansing module includes a library having a plurality of tag-operation pairs. The cleansing module is configured to receive a pointer locating the data object within volatile memory, and further configured to, for each data field, look up the tag of the data field among the library tags, and execute the operation paired with the matching library tag on the value of the field, modifying the value of the data field while it is stored in volatile memory. The cleansing module is configured to execute the operation in near real-time, and at runtime.

Abstract: A system and method for rules-driven adjudication is disclosed. The system includes a storage includes a rule library having a plurality of rules, each rule being in a human-readable format and including a first data tag, a comparator, a comparison value, and a result. The system also includes a rules manager configured to receive and store a new rule. The system includes a rules evaluator configured to receive an adjudication request having a data object associated with a data tag, and evaluate the request and create a primary determination by applying a first rule to the request, and further applying a first subsequent rule and all logically adjacent rules until all logically adjacent rules have been exhausted and the primary determination is an indefinite outcome or the applying of a final rule returns an outcome that becomes the primary determination.

Abstract: A system and method for data aggregation and process automation is disclosed. The method includes receiving a first data object from a first integration point through a first smart adapter, identifying an appropriate rules library from a plurality of rules libraries using a rules engine, the appropriate rules library being identified using the first data object, and applying the appropriate rules library through the rules engine. The rules are applied by instructing a transformation module to transform the first data object into a transformed data object, instructing a validation module to validate at least one of the first data object and the transformed data object, and instructing an aggregation module to perform a statistical analysis on one of the first data object and the transformed data object. Finally, the method includes sending the transformed data object to a second integration point associated with a second smart adapter.

Abstract: A system and method for data aggregation and process automation is disclosed. The method includes receiving a first data object from a first integration point through a first smart adapter, identifying an appropriate rules library from a plurality of rules libraries using a rules engine, the appropriate rules library being identified using the first data object, and applying the appropriate rules library through the rules engine. The rules are applied by instructing a transformation module to transform the first data object into a transformed data object, instructing a validation module to validate at least one of the first data object and the transformed data object, and instructing an aggregation module to perform a statistical analysis on one of the first data object and the transformed data object. Finally, the method includes sending the transformed data object to a second integration point associated with a second smart adapter.

Abstract: A system and method for on-demand data cleansing is disclosed. The system includes a processor and a volatile memory including a data object having a plurality of data fields, each field having a tag and a value. The system also includes a cleansing module stored in the volatile memory and executed by the processor. The cleansing module includes a library having a plurality of tag-operation pairs. The cleansing module is configured to receive a pointer locating the data object within volatile memory, and further configured to, for each data field, look up the tag of the data field among the library tags, and execute the operation paired with the matching library tag on the value of the field, modifying the value of the data field while it is stored in volatile memory. The cleansing module is configured to execute the operation in near real-time, and at runtime.

Abstract: A system and method for rules-driven adjudication is disclosed. The system includes a storage includes a rule library having a plurality of rules, each rule being in a human-readable format and including a first data tag, a comparator, a comparison value, and a result. The system also includes a rules manager configured to receive and store a new rule. The system includes a rules evaluator configured to receive an adjudication request having a data object associated with a data tag, and evaluate the request and create a primary determination by applying a first rule to the request, and further applying a first subsequent rule and all logically adjacent rules until all logically adjacent rules have been exhausted and the primary determination is an indefinite outcome or the applying of a final rule returns an outcome that becomes the primary determination.

Abstract: A system and method for on-demand data cleansing is disclosed. The system includes a processor and a volatile memory including a data object having a plurality of data fields, each field having a tag and a value. The system also includes a cleansing module stored in the volatile memory and executed by the processor. The cleansing module includes a library having a plurality of tag-operation pairs. The cleansing module is configured to receive a pointer locating the data object within volatile memory, and further configured to, for each data field, look up the tag of the data field among the library tags, and execute the operation paired with the matching library tag on the value of the field, modifying the value of the data field while it is stored in volatile memory. The cleansing module is configured to execute the operation in near real-time, and at runtime.

Abstract: A system and method for data aggregation and process automation is disclosed. The method includes receiving a first data object from a first integration point through a first smart adapter, identifying an appropriate rules library from a plurality of rules libraries using a rules engine, the appropriate rules library being identified using the first data object, and applying the appropriate rules library through the rules engine. The rules are applied by instructing a transformation module to transform the first data object into a transformed data object, instructing a validation module to validate at least one of the first data object and the transformed data object, and instructing an aggregation module to perform a statistical analysis on one of the first data object and the transformed data object. Finally, the method includes sending the transformed data object to a second integration point associated with a second smart adapter.

Abstract: A system and method for rules-driven adjudication is disclosed. The system includes a storage includes a rule library having a plurality of rules, each rule being in a human-readable format and including a first data tag, a comparator, a comparison value, and a result. The system also includes a rules manager configured to receive and store a new rule. The system includes a rules evaluator configured to receive an adjudication request having a data object associated with a data tag, and evaluate the request and create a primary determination by applying a first rule to the request, and further applying a first subsequent rule and all logically adjacent rules until all logically adjacent rules have been exhausted and the primary determination is an indefinite outcome or the applying of a final rule returns an outcome that becomes the primary determination.

Abstract: A system and method for data aggregation and process automation is disclosed. The method includes receiving a first data object from a first integration point through a first smart adapter, identifying an appropriate rules library from a plurality of rules libraries using a rules engine, the appropriate rules library being identified using the first data object, and applying the appropriate rules library through the rules engine. The rules are applied by instructing a transformation module to transform the first data object into a transformed data object, instructing a validation module to validate at least one of the first data object and the transformed data object, and instructing an aggregation module to perform a statistical analysis on one of the first data object and the transformed data object. Finally, the method includes sending the transformed data object to a second integration point associated with a second smart adapter.

Abstract: A system and method for on-demand data cleansing is disclosed. The system includes a processor and a volatile memory including a data object having a plurality of data fields, each field having a tag and a value. The system also includes a cleansing module stored in the volatile memory and executed by the processor. The cleansing module includes a library having a plurality of tag-operation pairs. The cleansing module is configured to receive a pointer locating the data object within volatile memory, and further configured to, for each data field, look up the tag of the data field among the library tags, and execute the operation paired with the matching library tag on the value of the field, modifying the value of the data field while it is stored in volatile memory. The cleansing module is configured to execute the operation in near real-time, and at runtime.

Abstract: A system and method for rules-driven adjudication is disclosed. The system includes a storage includes a rule library having a plurality of rules, each rule being in a human-readable format and including a first data tag, a comparator, a comparison value, and a result. The system also includes a rules manager configured to receive and store a new rule. The system includes a rules evaluator configured to receive an adjudication request having a data object associated with a data tag, and evaluate the request and create a primary determination by applying a first rule to the request, and further applying a first subsequent rule and all logically adjacent rules until all logically adjacent rules have been exhausted and the primary determination is an indefinite outcome or the applying of a final rule returns an outcome that becomes the primary determination.

Abstract: A system and method for on-demand data cleansing is disclosed. The system includes a processor and a volatile memory including a data object having a plurality of data fields, each field having a tag and a value. The system also includes a cleansing module stored in the volatile memory and executed by the processor. The cleansing module includes a library having a plurality of tag-operation pairs. The cleansing module is configured to receive a pointer locating the data object within volatile memory, and further configured to, for each data field, look up the tag of the data field among the library tags, and execute the operation paired with the matching library tag on the value of the field, modifying the value of the data field while it is stored in volatile memory. The cleansing module is configured to execute the operation in near real-time, and at runtime.

Abstract: A system and method for rules-driven adjudication is disclosed. The system includes a storage includes a rule library having a plurality of rules, each rule being in a human-readable format and including a first data tag, a comparator, a comparison value, and a result. The system also includes a rules manager configured to receive and store a new rule. The system includes a rules evaluator configured to receive an adjudication request having a data object associated with a data tag, and evaluate the request and create a primary determination by applying a first rule to the request, and further applying a first subsequent rule and all logically adjacent rules until all logically adjacent rules have been exhausted and the primary determination is an indefinite outcome or the applying of a final rule returns an outcome that becomes the primary determination.

Abstract: A system and method for on-demand data cleansing is disclosed. The system includes a processor and a volatile memory including a data object having a plurality of data fields, each field having a tag and a value. The system also includes a cleansing module stored in the volatile memory and executed by the processor. The cleansing module includes a library having a plurality of tag-operation pairs. The cleansing module is configured to receive a pointer locating the data object within volatile memory, and further configured to, for each data field, look up the tag of the data field among the library tags, and execute the operation paired with the matching library tag on the value of the field, modifying the value of the data field while it is stored in volatile memory. The cleansing module is configured to execute the operation in near real-time, and at runtime.