Abstract: A computer system includes memory hardware and processor hardware configured to execute instructions, including training a machine learning model to generate a claim prediction output, obtaining structured claim data and demographic data specific to a patient entity, processing the structured data to generate the claim prediction output, storing the claim prediction output as a predicted future claim value specific to the patient entity, and assigning the patient entity to a first entity subset or to a second entity subset according to the structured demographic data specific to the patient entity.

Abstract: Methods, systems, and apparatus monitor medication usage data for one patient or a population of patients, which can be processed to determine compliance patterns. Such methods and systems can associate, analyze, organize and present medication usage data, compliance patterns, and correlations between compliance patterns and outcomes data for electronic analysis or analysis by a caretaker. Such methods, systems, and apparatus permit analysis of compliance patterns to enable, for example, establishment or adjustment of safe and effective treatment regimens, and may include feedback systems for ensuring authenticity of medication and/or effects of medication on a patient.

Abstract: Systems and methods are provided for processing cardless financial transactions at transaction devices such as Automated Teller Machines. An example method comprises receiving a transaction request including at least one transaction parameter and receiving a substitute value representing an account for processing the transaction request. The substitute value is distinct from an account number associated with the account. The method further comprises sending the at least one transaction parameter and the substitute value to a payment network associated with the substitute value and completing the transaction request. A second method comprises receiving a transaction request with at least one transaction parameter and a substitute value. The second method further comprises determining account credentials associated with the substitute value using the account credentials.

Abstract: An exchange computer system for improving risk management is described. A user may create a risk profile that includes a risk threshold, and may identify a set of one or more security transaction orders to be associated with the risk profile. The exchange computer system may receive the risk profile from a user device, determine that the set of one or more security transaction orders are associated with the risk profile, and monitor the one or more security transaction orders included in the set. Based on the monitoring, the exchange computer system may determine that the risk threshold is satisfied. In response to determining that the risk threshold is satisfied, the exchange computer system may alert the user and cancel the one or more security transaction orders included in the set.

Abstract: The disclosed embodiments provide systems and methods for transacting at a local financial service provider device using a mobile device. The system may include one or more processors configured to execute instructions to receive transaction data associated with a transaction request including a customer identifier received from a mobile device associated with the customer. Additionally, the processors may receive authentication data associated with the customer that may be provided by the customer operating the mobile device and without requiring the customer to input data directly at the local financial service provider device.

Abstract: A cloud big data-based system and method for insulin pump individualized configuration optimization are provided. The system includes an insulin pump, a real-time continuous glucose monitoring system, a smart phone, a glucose monitoring application software installed in the smart phone and a cloud big data server. By means of personal blood glucose measurement historical data of users stored in the cloud, the insulin pump individualized configuration optimization system provides effective calculation of an individualized optimal insulin injection volume and injection rate for each user, thus aiding physicians and patients to formulate diabetes treatment plans with increased effectiveness.

Abstract: There is disclosed a method of authorising an electronic transaction, the method involving a server receiving transaction details for the electronic transaction and an identifier for a participant in the electronic transaction. The server sends the transaction details to the participant in the electronic transaction, and in return receives authorisation data from the participant, the authorisation data including authentication data authenticating the identity of the participant. The server then determines an account code identifying an account associated with the participant based on the identifier, and proceeds with the electronic payment transaction using the account code.

Abstract: A method including: receiving a chargeback message from a processor (or offering the service to tenants who can submit chargeback details over AP's), selecting from a database data configuration parameters corresponding to the processor; receiving a first data file via a graphical user interface, wherein the first data file includes evidence responsive to the chargeback message; converting the first data file from a first format to a second format according to the data configuration parameters; after converting the first data file, generating a representment data structure that includes the first data file in the second format; and transmitting the representment data structure to the processor.

Abstract: Some embodiments include a system and computer-implemented method for aggregating and tracking medical delivery to a patient including a non-transitory computer-readable medium in data communication with at least one processor, where the non-transitory computer-readable medium includes software instructions for a medical services tracking system and method. Upon execution of the software instructions, information from a patient database or server can be received and displayed a medical record dashboard. A user can view and edit access to the information, and a user selectable link can display medical record information. The system and method enable auto-population of medical data entry fields based at least one part on at least one claim made or billing signed off by a physician for at least one medical service or procedure previously provided to or performed on at least one patient.

Abstract: An exchange computer system for improving risk management is described. A user may create a risk profile that includes a risk threshold, and may identify a set of one or more security transaction orders to be associated with the risk profile. The exchange computer system may receive the risk profile from a user device, determine that the set of one or more security transaction orders are associated with the risk profile, and monitor the one or more security transaction orders included in the set. Based on the monitoring, the exchange computer system may determine that the risk threshold is satisfied. In response to determining that the risk threshold is satisfied, the exchange computer system may alert the user and cancel the one or more security transaction orders included in the set.

Abstract: An automatic-transaction-machine (ATM) has a processor that controls at least portions of some financial transactions conducted by the ATM. A banking computer system associated with the ATM is receives a pre-created transaction request from a customer using a mobile device. When the customer later brings the mobile device to the ATM, the ATM presents transaction-verification data to be received by the mobile device. The ATM is configured to receive mobile-verification data back from the mobile device that is responsive to the transaction-verification data. When the mobile-verification data is authenticated by the banking computer system the ATM is configured to execute the pre-created transaction request.

Abstract: A system and method for routing ATM transactions. A transaction request is received at an external application programming interface (API) associated with an account holder. The external API runs on a first processor. The transaction request is validated and authorized at the external API. Information about the transaction is forwarded from the external API to an internal API associated with an automated teller machine (ATM). The internal API runs on a second processor. A unique identifier is generated for the transaction request and provided to a user. The unique identifier is received from the user at the ATM without the user presenting any card and without connecting a mobile device of the user to the ATM. The unique identifier is provided from the ATM to the internal API to confirm a validity of the transaction. The transaction is implemented at the ATM by either dispensing cash or accepting a deposit.

Abstract: A computerized system associates each arbitrator computer of a plurality of arbitrator computers with a different one of a plurality of credit manager computers, wherein each associated arbitrator computer of the plurality of arbitrator computers is located geographically more proximate to an associated trader workstation of a plurality of trader workstations than others of the plurality of arbitrator computers, and locates the different one of the plurality of credit manager computers in a same location as the associated arbitrator computer so as to provide low network latency between a time an electronic trade order is transmitted from the associated trader workstation and received by the associated arbitrator computer and a time that a match is made by the associated arbitrator computer.

Abstract: Techniques described herein are directed to embedded card reader security. In an example, personal account number data read from a payment instrument may be temporally and/or spatially separated from personal identification number data utilized to complete a payment for products. Temporal separation may include removing the personal account number data from a merchant device prior to request personal identification number data. Spatial separation may include utilization of trusted execution environments, separated embedded card reader applications, intermediary applications, and/or trust routines, for example to enable different components of a merchant device, and/or components of other devices and systems to handle personal account number data and personal identification number data.

Abstract: Systems and methods are provided for routing transactions from ATMs. In one embodiment, a method is provided that includes receiving a unique identifier that corresponds to a transaction requested by a user. In certain implementations, the unique identifier may be presented to the user by a third party separate from a provider of the ATM. The method may further include routing the unique identifier to an application programming interface affiliated with a provider of the ATM to confirm the transaction's validity. In certain implementations, the method may further comprise implementing the transaction and updating a settlement account to reflect the transaction.

Abstract: Exemplary embodiments provide hedge management systems and methods for implementation of automated hedging programs. The automated hedge management system manages various types of hedging programs on behalf of various clients based on currency exchange information received from any of various market data providers. The automated hedge management system also interfaces with various hedge service providers (e.g., banks or other asset market makers) such as for implementing a hedge decision, e.g., to purchase or sell a forward contract. Exemplary embodiments are implemented using parameterized programs and parameterized program engines, thereby allowing a single program engine to implement multiple hedging program instances including combinations of instances.

Abstract: A system to process virtual credit card (VCC) payments automatically is provided. Electronic delivery of VCC payment information may be transferred as electronic data representing a VCC payment to the seller (e.g., an email). Data exchange methods for VCC payments include application programming interfaces (APIs), email, files, etc. Secure processing is provided via an environment that meets rigorous security standards (e.g., Payment Card Industry (PCI) data security standards). Credentials of the sending entity establish the context that allows the system to associate the data received with the correct buyer and seller. Authentication may be provided within the context of the data transferred. Authentication may also use the sender's email address to validate the sender using a digital signature of the email contents. The system may combine digital signature validation of an email with a validation of a sending entity using the DomainKeys Identified Mail (DKIM) email authentication protocol.

Abstract: There are provided systems and methods for actionable insight into user interaction data. A service provider server can access user interaction data associated with an interaction between a first communication device and the service provider server, and generates feature representations of the user interaction data, in which the feature representations respectively correspond to extracted features that include textual data features or audio data features. The service provider server can determine an intent of the interaction from the feature representations using a machine learning-trained classifier, in which the intent corresponds to a first actionable insight category. The interaction is mapped to a first cluster based on the intent, and the service provider server issues a remedial action for the interaction based on the mapping of the interaction to the first cluster, in which the remedial action is associated with a particular type of activity in the first actionable insight category.

Abstract: An order execution server for stock trading includes a data collection unit configured to collect trading data on at least one item, a subsidiary prediction value generation unit configured to generate a subsidiary prediction value by inputting the trading data into a pre-trained first deep learning model based on supervised learning, an order execution strategy deriving unit configured to derive an order execution strategy for the at least one item during a current period of time based on the trading data and the subsidiary prediction value by using a pre-trained second deep learning model based on reinforcement learning; and an order execution instruction unit configured to instruct order execution for the at least one item during the current period of time by using order information including the order execution strategy.

Abstract: An order execution server for stock trading includes a data collection unit configured to collect trading data on at least one item, a model generation unit configured to generate a reinforcement learning-based deep learning model including two or more actors which are neural networks that determine an action policy of a reinforcement learning agent and a critic which is a neural network that estimates an action value of the reinforcement learning agent and train the reinforcement learning-based deep learning model to derive an order execution strategy for the at least one item based on the trading data and an order execution unit configured to perform order execution for the at least one item during a current period of time by using order information including the order execution strategy.