Abstract: Systems and methods authenticating devices for secure data exchange are provided. A ledger of participants authorized to be admitted to a communication session during a time window is generated in response to a scheduling request. For each participant, the ledger includes a participant identifier, a participant key, and a common meeting identifier corresponding to the communication session. The participant key and meeting identifier are encoded into a short-code which is redeemed, by the participants, for an access token authorizing a peer-to-peer connection between devices within a meeting room during the communication session. The participants include a host who may have privileges during the communication session, and one or more clients.

Abstract: A system performs continuous delivery of a data pipeline on a cloud platform. The system receives a specification of the data pipeline that is split into smaller specifications of data pipeline units. The system identifies a target cloud platform and generates a deployment package for each data pipeline unit for the target cloud platform. The system creates a connection with the target cloud platform and uses the connection to provision computing infrastructure on the target cloud platform for the data pipeline unit according to the system configuration of the data pipeline unit. The data pipeline may be implemented as a data mesh that is a directed acyclic graph of nodes, each node representing a data pipeline unit. Different portions of the data mesh may be modified independent of each other. Partial results stored in different portions of the data mesh may be recomputed starting from different points in time.

Abstract: A system implements a cloud-based digital platform allows developers to build new applications/services and then deploy to cloud platforms among continuous deployment, A/B test, blue/green deployment, and canary deployment. The system configures a service mesh on top of a cluster of computers. The system initializes a new service via templates that include common libraries, security scan pipeline, monitoring as code pipeline, and code coverage management for internal policy compliances, as well automated cloud resources request and provisioning. One or more proxy services, that extract data from the data sources using filters, can be executed. The system may use machine learning based models that are trained using the data extracted by the proxy service. The system allows automatic provisioning, computation orchestration, storage requests, and artificial intelligence insight feedback, as well as automated self-services to navigate complex systems and reduce on-boarding times of the platform.

Abstract: A system performs delivery of a data pipeline on a cloud platform. The system receives a specification of the data pipeline that is split into smaller specifications of data pipeline units. The system identifies a target cloud platform and generates a deployment package for each data pipeline unit for the target cloud platform. The system creates a connection with the target cloud platform and uses the connection to provision computing infrastructure on the target cloud platform for the data pipeline unit according to the system configuration of the data pipeline unit. The data pipeline may be implemented as a data mesh that is a directed acyclic graph of nodes, each node representing a data pipeline unit. Different portions of the data mesh may be modified independent of each other. Partial results stored in different portions of the data mesh may be recomputed starting from different points in time.

Abstract: Systems and methods for providing an automated quality assurance framework for infrastructure as code (“IaC”) implementations are provided. Pull requests with proposed change to existing IaC source code (“changed code”) are received from user devices, each associated with either a service enablement team member or an applications development team member. Team specific versions of the quality assurance framework are automatically triggered for the changed code which require successful passage through multiple modules in a successive manner before automatically being merged into the existing IaC source code.

Abstract: A system for maintaining accurate health data and for providing rewards to data market participants. A marketplace platform based on Blockchain technology leverages smart contracts to provide rewards to sellers of data assets that provide corrections or updates to medical data, such as provider demographics. A URL API is provided to a buyer of the data with an encrypted password that is used to access the data from the URL API.

Abstract: Systems and methods providing compatibility between legacy electronic record systems are disclosed. Appliances are in two-way electronic communication with legacy electronic records systems and a gateway server which is in electronic communication with one of the legacy electronic records systems. Electronic medical records data is converted between legacy formats for the legacy systems and a common format for transmission between the appliances and the gateway server.

Abstract: A system for maintaining accurate health data and for providing rewards to data market participants. A marketplace platform based on Blockchain technology leverages smart contracts to provide rewards to sellers of data assets that provide corrections or updates to medical data, such as provider demographics. A URL API is provided to a buyer of the data with an encrypted password that is used to access the data from the URL API.

Abstract: System and methods are disclosed which use one or more dimensions that assesses the veracity of a diagnosis in a health care record. The veracity of the diagnosis is based on a set of dimension values and a set of weightings. A user interface for healthcare providers/caregivers is provided to review the assessment and provide feedback so that the weighting of the dimensions may be adjusted to improve the assessment of the diagnosis.

Abstract: A system performs continuous delivery of a data pipeline on a cloud platform. The system receives a specification of the data pipeline comprising data pipeline units. The system generates a deployment package for each data pipeline unit for a cloud platform. The system provisions computing infrastructure on the cloud platform according to the system configuration of the data pipeline unit. The data pipeline may be implemented as a data mesh. The data pipeline generates one or more data models. The system receives a schema representing a modification in a data model based on a change in the requirements of a consumer system. The system determines the changes to the data pipeline based on the received schema and reconfigures the data pipeline to generate the modified data model. The system manages access control of data to minimize the exposure to data in case of accidental or malicious data breach.

Abstract: A method of authenticating devices for secure data exchange. A system receives a scheduling request and generates a ledger of participants authorized to be admitted to a communication session during a time window. For each participant, the ledger includes a participant identifier, a participant key, and a meeting identifier corresponding to the communication session. The participant key and meeting identifier are encoded into a short-code which is redeemed, by the participants, for an access token authorizing a peer-to-peer connection between devices within a meeting room during the communication session. The participants include a host who has special privileges during the communication session, and one or more clients.

Abstract: System and methods are provided for managing messages generated by an organization for delivery to various recipients. Proposed messages including content data are electronically received from user systems associated with an organization. At least one governance rule is applied to the content data and where a lack of compliance is found an electronic notification is generated. One or more modifications to the content data of the proposed message are received and the modified message is converted into at least two different formats for transmission to a number of recipient systems.

Abstract: Identity access and management (“IAM”) systems with resiliency features and methods related to the same are provided. Two or more identity provider (“IDP”) systems each have a matching copy of user authentication data for users authorized to access the system of an organization. An identity proxy is interposed between user systems and each of the two or more IDP system. The identity proxy routes authentication requests, challenges, and responses between the user systems and the IDP systems based on availability.

Abstract: A system performs continuous delivery of a data pipeline on a cloud platform. The system receives a specification of the data pipeline that is split into smaller specifications of data pipeline units. The system identifies a target cloud platform and generates a deployment package for each data pipeline unit for the target cloud platform. The system creates a connection with the target cloud platform and uses the connection to provision computing infrastructure on the target cloud platform for the data pipeline unit according to the system configuration of the data pipeline unit. The data pipeline may be implemented as a data mesh that is a directed acyclic graph of nodes, each node representing a data pipeline unit. Different portions of the data mesh may be modified independent of each other. Partial results stored in different portions of the data mesh may be recomputed starting from different points in time.

Abstract: Systems and methods providing compatibility between legacy electronic medical record (EMR) systems are disclosed. A first appliance is in two-way electronic communication with a first legacy EMR system and is configured to covert medical records data between a first format utilized by the first legacy EMR system and a common format. A second appliance is in two-way electronic communication with a second legacy EMR system and is configured to convert medical records data between a second format utilized by the second legacy EMR system and the common format. A common appliance is in two-way electronic communication with the first appliance, the second appliance and a third legacy EMR system. The common appliance is configured to convert medical records data between a third format utilized by the third legacy EMR system and the common format.

Abstract: A system trains a machine learning based model to predict the likelihood of an outcome for an entity, for example, a user. The system determines, for a particular prediction for a user, impact scores that indicate how each feature of the user impacted the prediction for that user. The feature impact scores are ranked to select features for the user that had the highest impact on the prediction. The system generates a description for the high impact features and provides the description, for example, for display via a user interface.

Abstract: A build system stores source code in source code repositories and generates deployment artifacts from a build pipeline. The build system receives requirements associated with certification criteria for certifying a deployment artifact based on the source code. The build system executes a build pipeline including build tasks that compile the source code to generate executable files storing executable instructions. The build system evaluates the certification criteria based on results of execution of the build tasks. The build system determines whether the deployment artifact is a certified deployment artifact based on the result of evaluation of the certification criteria. The build system stores a software asset information document in a source code repository identifying software assets build using the source code repository, for example, as a YAML file.

Abstract: A system trains a machine learning based model to predict the likelihood of an outcome for an entity, for example, a user. The system determines, for a particular prediction for a user, feature impact scores that indicate how each feature of the user impacted the prediction for that user. The feature impact scores are ranked to determine top driver features for the user that had the highest impact on the prediction. The system generates a human understandable description for the top driver features. The system provides the generated description for the top driver features for display, for example, via a user interface.

Abstract: A system performs continuous delivery of a data pipeline on a cloud platform. The system receives a specification of the data pipeline comprising data pipeline units. The system generates a deployment package for each data pipeline unit for a cloud platform. The system provisions computing infrastructure on the cloud platform according to the system configuration of the data pipeline unit. The data pipeline may be implemented as a data mesh. The data pipeline generates one or more data models. The system receives a schema representing a modification in a data model based on a change in the requirements of a consumer system. The system determines the changes to the data pipeline based on the received schema and reconfigures the data pipeline to generate the modified data model. The system manages access control of data to minimize the exposure to data in case of accidental or malicious data breach.

Abstract: A build system stores source code in source code repositories and generates deployment artifacts from a build pipeline. The build system receives requirements associated with certification criteria for certifying a deployment artifact based on the source code. The build system executes a build pipeline including build tasks that compile the source code to generate executable files storing executable instructions. The build system evaluates the certification criteria based on results of execution of the build tasks. The build system determines whether the deployment artifact is a certified deployment artifact based on the result of evaluation of the certification criteria. The build system stores a software asset information document in a source code repository identifying software assets build using the source code repository, for example, as a YAML file.