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: Example implementations include determining, based on participant objects input into a machine learning model, to transmit a query to a third-party application based on a machine learning model trained with historical data associated with opportunities provided by third-party applications, transmitting to a third-party application, the query constructed based on a template compatible with an application programming interface (“API”) of the third-party application, receiving a response from the third-party application including an event and a profile for a participant of a service provided by the third-party application, the profile linked with a participant object and generated in response to importing information associated with the profile from a third-party administrator device, the event indicative of an opportunity to reduce resource utilization, determining that the participant object satisfies a parameter of the event, and providing to a computing device of the participant object responsive to satisfac

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: 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: 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: Example implementations include a system to generate a user object, with a data processing system comprising memory and one or more processors to identify a role attribute of a user object, a geography attribute of the user object, and a temporal attribute of the user object, determine, based on the role attribute, the geography attribute, and the temporal attribute, a benefits group corresponding to the user object, generate a dynamic association of the user object to the benefits group, the dynamic association from the role attribute, the geography attribute, and the temporal attribute, and modifiable in response to a modification of one or more of the role attribute, the geography attribute, and the temporal attribute, and generate a dynamic tree structure from the dynamic association, the tree structure modifiable in response to the modification of one or more of the role attribute, the geography attribute, and the temporal attribute.

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: The present disclosure is directed to conducting electronic transactions via a computer network. A server receives data packets carrying data identifying a merchant category, an electronic account maintained and configured on the server, and a first monetary amount of a first electronic transaction. A first device generates the data packets at the merchant to conduct the electronic transaction. A policy engine selects a first purse of a plurality of purses allocated to the electronic account based on a policy applied to the data. The first purse may be configured as a benefits purse. The server obtains the first monetary amount of the electronic transaction from the first purse. The policy engine applies a second policy to the data to determine a reimbursement amount based on the first monetary amount of the transaction, and electronically provides the reimbursement amount to a different second purse of the electronic account.

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 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: 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: 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: 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: 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: The present disclosure is directed to conducting electronic transactions via a computer network. A server receives data packets carrying data identifying a merchant category, an electronic account maintained and configured on the server, and a first monetary amount of a first electronic transaction. A first device generates the data packets at the merchant to conduct the electronic transaction. A policy engine selects a first purse of a plurality of purses allocated to the electronic account based on a policy applied to the data. The first purse may be configured as a benefits purse. The server obtains the first monetary amount of the electronic transaction from the first purse. The policy engine applies a second policy to the data to determine a reimbursement amount based on the first monetary amount of the transaction, and electronically provides the reimbursement amount to a different second purse of the electronic account.

Abstract: Example implementations include determining, based on participant objects input into a machine learning model, to transmit a query to a third-party application based on a machine learning model trained with historical data associated with opportunities provided by third-party applications, transmitting to a third-party application, the query constructed based on a template compatible with an application programming interface (“API”) of the third-party application, receiving a response from the third-party application including an event and a profile for a participant of a service provided by the third-party application, the profile linked with a participant object and generated in response to importing information associated with the profile from a third-party administrator device, the event indicative of an opportunity to reduce resource utilization, determining that the participant object satisfies a parameter of the event, and providing to a computing device of the participant object responsive to satisfac

Abstract: The present disclosure is directed to conducting electronic transactions via a computer network. A server receives data packets carrying data identifying a merchant category, an electronic account maintained and configured on the server, and a first monetary amount of a first electronic transaction. A first device generates the data packets at the merchant to conduct the electronic transaction. A policy engine selects a first purse of a plurality of purses allocated to the electronic account based on a policy applied to the data. The first purse may be configured as a benefits purse. The server obtains the first monetary amount of the electronic transaction from the first purse. The policy engine applies a second policy to the data to determine a reimbursement amount based on the first monetary amount of the transaction, and electronically provides the reimbursement amount to a different second purse of the electronic account.

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.