Abstract: A computer system includes a data storage device. The data storage module receives, stores, and provides access to historical claim data. A categorical aggregation component comprising program instructions stored in a program memory provides categorized and aggregated historical claim data by identifying claim categories based on the historical claim data, each of the one or more claim categories associated with a respective set of claim characteristics, identifying claims of the historical claim data associated with one of the claim categories, assigning each identified claim to one of a plurality of total severity ranges based on the total severity of the identified claim, and determining an average cost per claim year for claims of each total severity range when executed by a computer processor.

Abstract: A computer system includes a data storage device. The data storage module receives, stores, and provides access to historical claim data. A categorical aggregation component comprising program instructions stored in a program memory provides categorized and aggregated historical claim data by identifying claim categories based on the historical claim data, each of the one or more claim categories associated with a respective set of claim characteristics, identifying claims of the historical claim data associated with one of the claim categories, assigning each identified claim to one of a plurality of total severity ranges based on the total severity of the identified claim, and determining an average cost per claim year for claims of each total severity range when executed by a computer processor.

Abstract: The invention relates generally to data analysis, and to systems and methods for the computation of the volatility of a loss. The system comprises a module for receiving a data parameter, a database for storing the parameter, a computerized predictive model, and a business logic processor for executing the predictive model. The volatility is used to, among other things, determine an appropriate work flow for handling the loss.

Abstract: A computer system includes a data storage device. The data storage module receives, stores, and provides access to historical claim data. A categorical aggregation component comprising program instructions stored in a program memory provides categorized and aggregated historical claim data by identifying claim categories based on the historical claim data, each of the one or more claim categories associated with a respective set of claim characteristics, identifying claims of the historical claim data associated with one of the claim categories, assigning each identified claim to one of a plurality of total severity ranges based on the total severity of the identified claim, and determining an average cost per claim year for claims of each total severity range when executed by a computer processor.

Abstract: A computerized system includes acquisition of cost data associated with a workers' compensation claim from a data storage device, reception of a request to display the cost data associated with the workers' compensation claim from a remote terminal, application of knowledge-based graphing rules to the cost data to identify a medically-relevant characteristic of the cost data, and output, to a client device, of a graphical representation of the requested cost data including a graphical indication of the identified medically-relevant characteristic.

Abstract: A computer system includes a data storage device. The data storage module receives, stores, and provides access to historical claim data. A categorical aggregation component comprising program instructions stored in a program memory provides categorized and aggregated historical claim data by identifying claim categories based on the historical claim data, each of the one or more claim categories associated with a respective set of claim characteristics, identifying claims of the historical claim data associated with one of the claim categories, assigning each identified claim to one of a plurality of total severity ranges based on the total severity of the identified claim, and determining an average cost per claim year for claims of each total severity range when executed by a computer processor.

Abstract: The invention relates generally to data analysis, and to systems and methods for the computation of the volatility of a loss. The system comprises a module for receiving a data parameter, a database for storing the parameter, a computerized predictive model, and a business logic processor for executing the predictive model. The volatility is used to, among other things, determine an appropriate work flow for handling the loss.