Alegeus Technologies, LLC

Brian Colburn

Christopher Rodkey

At least one aspect of this technical solution is directed to a system for invoking account opportunities for support accounts, the system including a data processing system comprising memory and one or more processors to receive, from one or more external data sources, a plurality of opportunity events indicating modifications for candidate electronic transactions, select, in response to receipt of the plurality of opportunity events, a participant object including a support service identifier associated with a support service, and a participant service identifier associated with a participant service, filter the plurality of opportunity events based at least on a first opportunity metric associated with the participant object to construct a plurality of opportunity objects, rank the plurality of opportunity objects based at least on a determination that the opportunity object satisfies a second opportunity metric associated with the participant object, transmit, to a computing device linked with the participant object, the ranked plurality of opportunity objects, receive, from the computing device, a selection of one or more of the ranked plurality of opportunity objects, generate, responsive to the selection of the one or more of the ranked opportunity objects, a link between the participant object and the support service, and authorize the participant object to the support service based on the link.

Generation of real-time trigger-based digital feed

At least one aspect of this technical solution is directed to a system for generating a multi-factorial real-time predictive model for healthcare events, with a data processing system comprising memory and one or more processors to obtain a condition metric and a condition period associated with a participant object, generate, based on a model trained using historical condition-service data, a first participation metric for the participant object based on a participant service associated with the condition metric and the participant object, aggregate the first participation metric and the condition period into a first aggregated participation metric, receive, via a computing device associated with the participant object, a selection of an opportunity object associated with the condition metric, the opportunity object corresponding to an opportunity event provided via a third-party application that interfaces with the data processing system, generate, based on the model and the selection of the opportunity object, a second participation metric associated with the condition metric and the opportunity object, aggregate the second participation metric and the condition period into a second aggregated participation metric for the participant object, determine, based on the second participation metric being less than the first participation metric, a reduction in resource utilization, and provide, responsive to the determination of the reduction in resource utilization, an alert to the computing device indicating the reduction in resource utilization corresponding to the selection of the opportunity object.

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Sudbury, MA, United States of America

Brian Colburn