Abstract: A segmentation platform is interposed between an intake server and remote user-accessible computers. The segmentation platform includes a model training computer processor configured to generate a predictive model for determining a segment corresponding to received data sets based upon claim segment rules and historical data sets stored in data storage devices. The segmentation platform may be configured to dynamically update workload data corresponding to a plurality of users, and responsive to that updating and based upon application of the predictive model, segment the received current data sets and transmit electronic claim files to respective remote user-accessible computing devices. The predictive model is continually adapted through activation of the model training component to update the predictive model with new current claim data sets.

Abstract: A segmentation platform is interposed between an intake server and remote user-accessible computers. The segmentation platform includes a model training computer processor configured to generate a predictive model for determining a segment corresponding to received data sets based upon claim segment rules and historical data sets stored in data storage devices. The segmentation platform may be configured to dynamically update workload data corresponding to a plurality of users, and responsive to that updating and based upon application of the predictive model, segment the received current data sets and transmit electronic claim files to respective remote user-accessible computing devices. The predictive model is continually adapted through activation of the model training component to update the predictive model with new current claim data sets.

Abstract: A segmentation platform is interposed between an intake server and remote user-accessible computers. The segmentation platform may include a model training computer processor configured to generate a predictive model for determining a segment corresponding to received data sets based upon claim segment rules and historical data sets stored in data storage devices. The segmentation platform may be configured to dynamically update workload data corresponding to a plurality of users, and responsive to that updating and based upon application of the predictive model, segment the received current data sets and transmit electronic claim files to respective remote user-accessible computing devices. The predictive model is continually adapted through activation of the model training component to update the predictive model with new current claim data sets.

Abstract: A segmentation platform is interposed between an intake server and remote user-accessible computers. The segmentation platform may include a model training computer processor configured to generate a predictive model for determining a segment corresponding to received data sets based upon claim segment rules and historical data sets stored in data storage devices. The segmentation platform may be configured to dynamically update workload data corresponding to a plurality of users, and responsive to that updating and based upon application of the predictive model, segment the received current data sets and transmit electronic claim files to respective remote user-accessible computing devices. The predictive model is continually adapted through activation of the model training component to update the predictive model with new current claim data sets.

Abstract: According to some embodiments, a triage platform may receive data indicative of a disability insurance claim submitted in connection with a disability insurance policy, including at least one claim characteristic. The triage platform may determine, based on the claim characteristic, a claim segment to be associated with the disability insurance claim. A claim handler may be assigned to the disability insurance claim in accordance with the determined claim segment. Information about the disability insurance claim may then be automatically routed to the assigned claim handler.