Abstract: Techniques for storing health data can include a multi-node data structure. A data node, a category node, and an institution node of a multi-node data structure can be generated in accordance with a configuration file. The data node can include health data and can be identified by a first unique data identifier and encrypted using a first cryptographic key. The category node can include the first unique data identifier and the first cryptographic key. The category node can be identified by a second unique data identifier and encrypted using a second cryptographic key. The institution node can include the second unique data identifier and the second cryptographic key. The institution node can be identified by a third unique data identifier and encrypted using a third cryptographic key. The data node, the category node, and the institution node can be shared with a service provider.

Abstract: Techniques for storing health data can include a multi-node data structure. A data node, a category node, and an institution node of a multi-node data structure can be generated in accordance with a configuration file. The data node can include health data and can be identified by a first unique data identifier and encrypted using a first cryptographic key. The category node can include the first unique data identifier and the first cryptographic key. The category node can be identified by a second unique data identifier and encrypted using a second cryptographic key. The institution node can include the second unique data identifier and the second cryptographic key. The institution node can be identified by a third unique data identifier and encrypted using a third cryptographic key. The data node, the category node, and the institution node can be shared with a service provider.

Abstract: Techniques for storing health data can include a multi-node data structure. A data node, a category node, and an institution node of a multi-node data structure can be generated in accordance with a configuration file. The data node can include health data and can be identified by a first unique data identifier and encrypted using a first cryptographic key. The category node can include the first unique data identifier and the first cryptographic key. The category node can be identified by a second unique data identifier and encrypted using a second cryptographic key. The institution node can include the second unique data identifier and the second cryptographic key. The institution node can be identified by a third unique data identifier and encrypted using a third cryptographic key. The data node, the category node, and the institution node can be shared with a service provider.

Abstract: A user device may share encrypted health data with an electronic health record (EHR) system associated with a health institution. A unique data identifier that identifies a portion of the health data and a cryptographic key may be shared with the EHR system. The encrypted health may be shared with a service provider and a unique data identifier. To access the health data, the EHR system may query the service provider with the unique data identifier.

Abstract: A user device may share encrypted health data with an electronic health record (EHR) system associated with a health institution. A unique data identifier that identifies a portion of the health data and a cryptographic key may be shared with the EHR system. The encrypted health may be shared with a service provider and a unique data identifier. To access the health data, the EHR system may query the service provider with the unique data identifier.

Abstract: Systems, methods, devices and non-transitory, computer-readable storage mediums are disclosed for dynamic media rendering (DMR). In a first stage, a master media file is parsed into its component media assets, which are rendered individually into files and archived for reuse. In a second stage, the master media file is divided into segments containing sequential full-frames of media assets that are rendered into files and archived for reuse. Each time a media asset included in the master media file is updated, added or deleted, the one or more segment files that have a dependency on the updated, added or deleted media asset are rendered again. In a third stage, a third rendering node with knowledge of all the segment files archived during the second stage, and their respective order in time, combines the archived segment files together to create a full-frame, full-duration rendered master media file.

Abstract: Disclosed herein are techniques for implementing a database system that provides flexible organizational aspects while retaining the ability to process and respond to database queries in an efficient manner. In particular, the techniques involve utilizing characteristics of both entity-attribute-value (EAV) database technologies and relational database technologies to provide a hybrid approach that exploits a large number of their benefits while eliminating a large number of their deficiencies. According to some embodiments, the techniques can involve implementing at least one central storage repository (configured to implement an EAV-style database), where the central storage repository provides information to at least one distributor to enable the establishment of at least one cached table (implemented in accordance with relational-style databases) within at least one cached storage device.

Abstract: Systems, methods, devices and non-transitory, computer-readable storage mediums are disclosed for dynamic media rendering (DMR). In a first stage, a master media file is parsed into its component media assets, which are rendered individually into files and archived for reuse. In a second stage, the master media file is divided into segments containing sequential full-frames of media assets that are rendered into files and archived for reuse. Each time a media asset included in the master media file is updated, added or deleted, the one or more segment files that have a dependency on the updated, added or deleted media asset are rendered again. In a third stage, a third rendering node with knowledge of all the segment files archived during the second stage, and their respective order in time, combines the archived segment files together to create a full-frame, full-duration rendered master media file.

Abstract: Disclosed herein are techniques for implementing a database system that provides flexible organizational aspects while retaining the ability to process and respond to database queries in an efficient manner. In particular, the techniques involve utilizing characteristics of both entity-attribute-value (EAV) database technologies and relational database technologies to provide a hybrid approach that exploits a large number of their benefits while eliminating a large number of their deficiencies. According to some embodiments, the techniques can involve implementing at least one central storage repository (configured to implement an EAV-style database), where the central storage repository provides information to at least one distributor to enable the establishment of at least one cached table (implemented in accordance with relational-style databases) within at least one cached storage device.