Abstract: A system and method for processing and administering insurance policy premium discounts for mobile device disabling technology to promote safer driver is disclosed. An insurance policy premium discount is determined based on the level of disabling technology implemented by a user on a user's mobile device.

Abstract: A system and method for processing and administering insurance policy premium discounts for mobile device disabling technology to promote safer driver is disclosed. An insurance policy premium discount is determined based on the level of disabling technology implemented by a user on a user's mobile device.

Abstract: Text input data for an electronic record may be aggregated and mapped to create composite text input data. A semantic event in the composite text input data may be automatically detected, and a text mining result database may be updated by adding an entry identifying the detected semantic event and a triggering semantic rule. An indication of the electronic record may then be transmitted to a back-end application computer server that also determines at least one parameter corresponding to a characteristic of the electronic record. The computer server may then execute a computerized predictive model to predict a future performance characteristic indicator for the electronic record based on the at least one parameter and the indication received from the text mining platform, wherein the future performance characteristic indicator is indicative of a likelihood of an actual value of the electronic record differing from a predicted value of the electronic record.

Abstract: A system and method for processing and administering insurance policy premium discounts for mobile device disabling technology to promote safer driver is disclosed. An insurance policy premium discount is determined based on the level of disabling technology implemented by a user on a user's mobile device.

Abstract: Mediums, apparatus, computer program code, and means may be provided to evaluate relative risks based at least in part on source inputs received via a distributed communication network by an automated back-end application computer server. According to some embodiments, the server may access a data store containing electronic files associated with a set of entities to retrieve, for each of a plurality of the entities in the set of entities, electronic files associated with that entity. The server may also retrieve structured data elements, unstructured data elements, and external, third-party data elements for that entity. The server may then execute an automated risk model to assign a risk score to that entity based on the electronic files, the structured data elements, the unstructured data elements, and the external, third-party data elements for that entity and transmit indications of the risk scores for the plurality of entities.

Abstract: A system and method for processing and administering insurance policy premium discounts for mobile device disabling technology to promote safer driver is disclosed. An insurance policy premium discount is determined based on the level of disabling technology implemented by a user on a user's mobile device.

Abstract: A system and method for processing and administering insurance policy premium discounts for mobile device disabling technology to promote safer driver is disclosed. An insurance policy premium discount is determined based on the level of disabling technology implemented by a user on a user's mobile device.

Abstract: Text input data for an electronic record may be aggregated and mapped to create composite text input data. A semantic event in the composite text input data may be automatically detected, and a text mining result database may be updated by adding an entry identifying the detected semantic event and a triggering semantic rule. An indication of the electronic record may then be transmitted to a back-end application computer server that also determines at least one parameter corresponding to a characteristic of the electronic record. The computer server may then execute a computerized predictive model to predict a future performance characteristic indicator for the electronic record based on the at least one parameter and the indication received from the text mining platform, wherein the future performance characteristic indicator is indicative of a likelihood of an actual value of the electronic record differing from a predicted value of the electronic record.

Abstract: Text input data for an electronic record may be aggregated and mapped to create composite text input data. A semantic event in the composite text input data may be automatically detected, and a text mining result database may be updated by adding an entry identifying the detected semantic event and a triggering semantic rule. An indication for the electronic record may then be transmitted to a back-end application computer server that also determines at least one parameter corresponding to a characteristic of the electronic record. The computer server may then execute a computerized predictive model to predict a future performance characteristic indicator for the electronic record based on the at least one parameter and the indication received from the text mining platform, wherein the future performance characteristic indicator is indicative of a likelihood of an actual value of the electronic record differing from a predicted value of the electronic record.

Abstract: A system and method for processing and administering insurance policy premium discounts for mobile device disabling technology to promote safer driver is disclosed. An insurance policy premium discount is determined based on the level of disabling technology implemented by a user on a user's mobile device.

Abstract: Mediums, apparatus, computer program code, and means may be provided to evaluate relative risks based at least in part on source inputs received via a distributed communication network by an automated back-end application computer server. According to some embodiments, the server may access a data store containing electronic files associated with a set of entities to retrieve, for each of a plurality of the entities in the set of entities, electronic files associated with that entity. The server may also retrieve structured data elements, unstructured data elements, and external, third-party data elements for that entity. The server may then execute an automated risk model to assign a risk score to that entity based on the electronic files, the structured data elements, the unstructured data elements, and the external, third-party data elements for that entity and transmit indications of the risk scores for the plurality of entities.

Abstract: Mediums, apparatus, computer program code, and means may be provided to evaluate relative risks based at least in part on source inputs received via a distributed communication network by an automated back-end application computer server. According to some embodiments, the server may access a data store containing electronic files associated with a set of entities to retrieve, for each of a plurality of the entities in the set of entities, electronic files associated with that entity. The server may also retrieve structured data elements, unstructured data elements, and external, third-party data elements for that entity. The server may then execute an automated risk model to assign a risk score to that entity based on the electronic files, the structured data elements, the unstructured data elements, and the external, third-party data elements for that entity and transmit indications of the risk scores for the plurality of entities.

Abstract: Text input data for an electronic record may be aggregated and mapped to create composite text input data. A semantic event in the composite text input data may be automatically detected, and a text mining result database may be updated by adding an entry identifying the detected semantic event and a triggering semantic rule. An indication for the electronic record may then be transmitted to a back-end application computer server that also determines at least one parameter corresponding to a characteristic of the electronic record. The computer server may then execute a computerized predictive model to predict a future performance characteristic indicator for the electronic record based on the at least one parameter and the indication received from the text mining platform, wherein the future performance characteristic indicator is indicative of a likelihood of an actual value of the electronic record differing from a predicted value of the electronic record.

Abstract: Mediums, apparatus, computer program code, and means may be provided to evaluate relative risks based at least in part on source inputs received via a distributed communication network by an automated back-end application computer server. According to some embodiments, the server may access a data store containing electronic files associated with a set of entities to retrieve, for each of a plurality of the entities in the set of entities, electronic files associated with that entity. The server may also retrieve structured data elements, unstructured data elements, and external, third-party data elements for that entity. The server may then execute an automated risk model to assign a risk score to that entity based on the electronic files, the structured data elements, the unstructured data elements, and the external, third-party data elements for that entity and transmit indications of the risk scores for the plurality of entities.

Abstract: Detailed resource information, including a resource preference indication, may be stored for a set of potentially available resource units. The system may store, for each resource unit, at least one performance metric score value. For each resource unit, a back-end application computer server may automatically access the performance metric score value in a resource performance metric computer store. Based on the at least one performance metric score value, the back-end application computer server may automatically update a state of the resource preference indication in an available resource computer store and automatically arrange to adjust at least one output parameter in accordance with the updated state of the resource preference indication. According to some embodiments, a diagnosis grouping platform groups similar claims handled by the panel of medical service providers, and a rating platform reviews performance of each medical service provider in the panel based on groups of similar claims.

Abstract: According to some embodiments, systems, methods, apparatus, computer program code and means may receive information about a party potentially entitled to receive a stream of future payments in connection with an insurance policy, such as a workers' compensation insurance policy, between an insurer and an insured. A computer processor of a present value calculation platform may automatically calculate a nominal value associated with the stream of future payments based at least in part on the information about the party potentially entitled to receive the stream of future payments and insurance risk factor data. A discount value may also be automatically calculated, such that reduction of the nominal value by the discount value results in a present value of the stream of future payments. A portion of the discount value to be allocated to the insured may be automatically determined, and an indication of that portion may be transmitted.

Abstract: A system and method for processing and administering insurance policy premium discounts for mobile device disabling technology to promote safer driver is disclosed. An insurance policy premium discount is determined based on the level of disabling technology implemented by a user on a user's mobile device.

Abstract: A system for determining, for selected insurance groups, a behavior modification program for modifying a first select behavior comprises an insurance database storing employee and claims data including workers compensation class for employees of a plurality of insurance groups, one or more insurance processors, an insurance memory in communication with the one or more insurance processors and storing insurance program instructions, and an insurance communications device. One or more of the plurality of insurance groups are selected for participation in the first behavior modification program. One or more employees are selected for participation from the one or more of the plurality of insurance groups selected for participation in the first behavior modification program. A first behavior modification program membership data file is updated for each insurance group and information about the behavior modification program is transmitted to the groups selected for participation.

Abstract: A computer receives rating information relating to proposed issuance of an insurance policy endorsement. The rating information relates to a proposed insured that employs a number of employees. The computer processes the rating information to generate a premium amount to be charged for the insurance policy endorsement. The endorsement is then issued. The endorsement may provide reimbursement to the insured for losses incurred by the insured arising from absence from work by one or more of the employees.

Abstract: A system and method for workers' compensated risk analysis. The method comprising transmitting standard workers' compensation questions to a user device, receiving a response to the set of standard workers' compensation, selecting a set of supplemental questions based on the received responses to the set of standard workers' compensation questions and transmitted the set of supplemental questions to the user device, receiving a response to the set of supplemental questions and generating a risk score for workers' compensation insurance based on at least the responses to the standard questions and the supplemental questions.