Abstract: Example implementations, include a system for generating a metric-based digital feed performance model, with a data processing system comprising memory and one or more processors to obtain an opportunity object for a participant service identifier generated by an opportunity engine of the data processing system based on a participant object, transmit, to a client computing device, the opportunity object responsive to the opportunity object satisfying an opportunity condition, receive, via an interface of the client computing device, an indication of a selection of the opportunity object, identify, responsive to the indication of the selection, an opportunity execution heuristic, execute, responsive to a determination that the opportunity execution heuristic satisfies an opportunity condition heuristic, the opportunity object, and modify, responsive to the execution of the opportunity object, a performance metric associated with the participant object configured to trigger an alert to improve performance.

Abstract: 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 obj

Abstract: Example implementations include a system to present opportunities from third-party applications, with a data processing system comprising memory and one or more processors to identify, via an interface of the data processing system, a third-party application of a plurality of third-party applications configured with application programming interfaces (“APIs”) compatible with the interface of the data processing system, transmit, to the third-party application, a query constructed based on a template that is compatible with an API of the third-party application, receive, responsive to the query, a response from the third-party application comprising an opportunity event, select a participant object that satisfies one or more parameters associated with the opportunity event, and provide, to a computing device linked with the participant object, an indication of the opportunity event.

Abstract: 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 partici

Abstract: A healthcare financial payment system and method are disclosed in which a debit card which may be used by a cardholder to pay for medical products and services is linked with a healthcare-related financial account associated with the cardholder as well as with a non-healthcare-related financial account belonging to the cardholder. The healthcare-related financial account associated with the cardholder may be a Flexible Spending Arrangement (FSA), a Health Savings Account (HSA), or a health reimbursement arrangement (HRA), and the non-healthcare-related financial account associated with the cardholder may be a bank checking or savings account or a credit card.

Abstract: Provided is a system to allocate resources using an information technology infrastructure. The system receives financial and health data of a participant. The system identifies a healthcare expense prediction model to predict the future healthcare expenses of the participant. The system determines from the prediction model using the multi-dimensional feature vector of the participant, the predicted lifetime healthcare expenses of the participant. The system identifies lifetime non-healthcare expenses of the participant. The system identifies a healthcare tax benefit account to provide funds towards the predicted lifetime healthcare expenses and a non-healthcare tax benefit account to provide funds towards lifetime non-healthcare expenses. The system determines a first amount of funds to allocate to the healthcare tax benefit account and a second amount of funds to allocate to the non-healthcare tax benefit account. The system provides the first and second amount of funds to an interactive user interface.

Abstract: A healthcare financial payment system and method are disclosed in which a debit card which may be used by a cardholder to pay for medical products and services is linked with a healthcare-related financial account associated with the cardholder as well as with a non-healthcare-related financial account belonging to the cardholder. The healthcare-related financial account associated with the cardholder may be a Flexible Spending Arrangement (FSA), a Health Savings Account (HSA), or a health reimbursement arrangement (HRA), and the non-healthcare-related financial account associated with the cardholder may be a bank checking or savings account or a credit card.

Abstract: The present solution is generally directed to managing remote procedure calls in centralized processing. In particular, the present solution can reduce the number of remote procedure calls by selecting and applying multiple processing scripts for a single electronic transaction based on a real-time condition.

Abstract: The present solution is generally directed to managing remote procedure calls in centralized processing. In particular, the present solution can reduce the number of remote procedure calls by selecting and applying multiple processing scripts for a single electronic transaction based on a real-time condition.

Abstract: Detecting and controlling fraud in centralized processing is provided. A system receives data packets carrying electronic transactions, and clusters the electronic transactions based on an intermediary identifier of each of the electronic transactions to identify a first cluster and a second cluster. The system generates a first model for the first cluster and a second model for the second cluster. The system detects a fraudulent electronic transaction having a first source identifier. The system locks a first data structure to prevent transfer of a first resource in electronic transactions associated with the first source identifier. The system identifies source identifiers associated with the first cluster in a first tier. The system locks absent detection of the fraudulent electronic transaction in one or more electronic transaction associated with the source identifiers, the data structure corresponding to each of the source identifiers in the first cluster.

Abstract: The present solution is generally directed to dynamic state-driven centralized processing that manages remote procedure calls. In particular, the present solution can reduce the number of remote procedure calls by selecting and applying multiple processing scripts for a single electronic transaction based on a real-time condition, and provide dynamic-state-driven processing.

Abstract: Detecting and controlling fraud in centralized processing is provided. A system receives data packets carrying electronic transactions, and clusters the electronic transactions based on an intermediary identifier of each of the electronic transactions to identify a first cluster and a second cluster. The system generates a first model for the first cluster and a second model for the second cluster. The system detects a fraudulent electronic transaction having a first source identifier. The system locks a first data structure to prevent transfer of a first resource in electronic transactions associated with the first source identifier. The system identifies source identifiers associated with the first cluster in a first tier. The system locks absent detection of the fraudulent electronic transaction in one or more electronic transaction associated with the source identifiers, the data structure corresponding to each of the source identifiers in the first cluster.

Abstract: The present solution is generally directed to dynamic state-driven centralized processing that manages remote procedure calls. In particular, the present solution can reduce the number of remote procedure calls by selecting and applying multiple processing scripts for a single electronic transaction based on a real-time condition, and provide dynamic-state-driven processing.

Abstract: The present disclosure is directed to reducing resource consumption via information technology infrastructure. A server of the present disclosure receives one or more data packets including data indicating a healthcare transaction event. The server selects healthcare trend model trained by the server using previously received data packets. The server determines a correlation coefficient between each of a plurality of healthcare related recommendations and the selected healthcare trend model. The server retrieves a notification template from a notification data structure that maps to the highest ranking healthcare related recommendation. The server generates a request to deliver the notification corresponding to the highest ranking healthcare related recommendation at a destination address of a computing device of a participant.

Abstract: A system includes a device configured with a tool that interfaces with administrator devices remote from the device. The system receives an identifier of an administrator of an administrator device. The system retrieves an administrator profile corresponding to the identifier. The system identifies one or more administrator profiles stored in the administrator profile data structure of one or more different administrators. The system determines a similarity metric between the administrator profile and each of the identified administrator profiles. The system identifies the administrator profiles having the similarity metric satisfying a predetermined threshold. The system instantiates a dynamic report interface to render an electronic report indicating a first value of a first performance metric of the administrator based on the administrator profile and a second value of the first performance metric based on the identified administrator profiles.

Abstract: A system to allocate resources via information technology infrastructure is described. A server includes processors to provide to a plurality of devices, an electronic benefits account transaction application programming interface (“API”) configured to receive transaction requests from a plurality of heterogeneous electronic funding sources. The server can receive a request to initiate a single transaction to fund an electronics benefit account. The server can transmit data in an alert format indicating a denial of the single request responsive to a comparison of a value to one or more threshold limits.

Abstract: A healthcare financial payment system and method are disclosed in which a debit card which may be used by a cardholder to pay for medical products and services is linked with a healthcare-related financial account associated with the cardholder as well as with a non-healthcare-related financial account belonging to the cardholder. The healthcare-related financial account associated with the cardholder may be a Flexible Spending Arrangement (FSA), a Health Savings Account (HSA), or a health reimbursement arrangement (HRA), and the non-healthcare-related financial account associated with the cardholder may be a bank checking or savings account or a credit card.

Abstract: Methods and systems provide substantiation proof of claims made against medical spending accounts. Medical-insurance adjudication explanations are received at a benefits-records system, specifying a medical-insurance claim submitted to a medical insurer and identifying an adjudication decision of the medical insurance claim. The medical-insurance adjudication explanations are stored in a common format. A request is received from an insured party to apply a payment amount to a medical spending account. The payment amount corresponds to an expense associated with a medical-insurance claim submitted to one of the medical insurers but not paid. The request is posted to a third-party administrator with information from the corresponding medical-insurance adjudication explanations.

Abstract: Systems and method of the present disclosure are directed to providing a geographical ticker of financial transactions. A mapping engine on a server receives a first set of transaction data within a first predetermined time window from a database that includes a monetary amount of a transaction and an entity at which each transaction. The mapping engine obtains a location of the entity for each transaction and displays, on a digital map and in a first time sequence corresponding to the first predetermined time window, an icon at each location for each transaction. The mapping engine displays, on the digital map and in one or more time sequences corresponding to one or more predetermined time windows subsequent to the first predetermined time window, an icon at each location for each transaction within one or more sets of transaction data corresponding to the one or more predetermined time windows.

Abstract: The present invention relates to a real time account control method and system that allows only eligible and authorized items to be purchased using the account. The present invention relates particularly to healthcare spending accounts such as flexible spending accounts and health reimbursement arrangements. The method can comprise the steps of: establishing at least one account, each account having an account holder; identifying at least one item eligible for purchase using one of the accounts; identifying at least one item authorized for purchase using one of the accounts; and, upon request to purchase an item using one of the accounts, authorizing the purchase for an amount not to exceed an available balance in that account only if the item is both an item identified as eligible for purchase and an item authorized for purchase.