Abstract: Systems and methods are provided that allow for generating and applying an improved predictive data model that aggregates two or more models performed sequentially, for the purposes of improving the prediction of overall profitability of individuals or households in a population. The models may be generated by the processing of customer profitability data and third-party population data together. One of the two aggregated models may be an inherently probabilistic, binary model tasked with determining whether an individual is a high-loss individual and using that result to improve the predictive capability of the system.

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: Systems and methods are provided that allow for generating and applying an improved predictive data model that aggregates two or more models performed sequentially, for the purposes of improving the prediction of overall profitability of individuals or households in a population. The models may be generated by the processing of customer profitability data and third-party population data together. One of the two aggregated models may be an inherently probabilistic, binary model tasked with determining whether an individual is a high-loss individual and using that result to improve the predictive capability of the system.

Abstract: Systems and methods are provided that allow for generating and applying an improved predictive data model that aggregates two or more models performed sequentially, for the purposes of improving the prediction of overall profitability of individuals or households in a population. The models may be generated by the processing of customer profitability data and third-party population data together. One of the two aggregated models may be an inherently probabilistic, binary model tasked with determining whether an individual is a high-loss individual and using that result to improve the predictive capability of the system.

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.