Abstract: A distributed network system in a healthcare environment provides for proof of value transactions among various stakeholders like patients, providers, and payers. The system operates based on predefined intervention, valuation, and communication rules governed by a consensus contract. These rules determine interventions in response to therapeutic events, attribute valuations to interventions for different stakeholders, and regulate communications within the network. The system records therapeutic events, selects interventions, communicates them to relevant nodes, assessing valuations, and settling transactions according to the consensus contract. Different scenarios are outlined, such as interventions based on diagnoses or observations, including actions directed towards patients or providers, and rewards for achieving therapeutic goals. Overall, the system enables transparent and accountable transactions in healthcare by leveraging distributed ledger technology within a consensus-driven network.

Abstract: A method disclosed herein is employed in a computerized system. Initially, categories are defined in the memory, encompassing both identifier categories for direct identifiers of personally identifiable information and enumerated categories for objects related to such information but distinct from direct identifiers. Medical facts for numerous patients are acquired and processed into fact vectors based on these categories using processors within the system. A de-identification process is conducted to remove direct identifiers from the fact vectors, and a fictionalization process is carried out to alter enumerated objects. The resultant de-identified and fictionalized medical facts are stored in memory as a training dataset. Utilizing this dataset, the system trains an untrained artificial intelligence (AI) model, transforming it into a trained AI model through processor-based training procedures.

Abstract: A distributed healthcare network system stores intervention, context, and communication rules in databases, defining responses to patient-related events. Context includes factual circumstances tied to the patient. The system constructs a distributed ledger for each patient, incorporating their profile, therapeutic events, and context indicators based on predefined rules. Interventions are selected according to patient context and communicated to relevant network nodes, with records added to the ledger. AI models trained on patient data help identify subtle scenarios from context indicators and suggest alternative actions. Intervention rules rely on fixed thresholds and AI-driven analysis to determine appropriate responses. The ledger, distributed across the network, ensures transparency, enhances communication among patients, providers, and payers, and streamlines healthcare transactions.

Abstract: Therapeutic monitoring systems and their use by participants are disclosed herein. The participants include without limitation patients, patient representatives, health care providers, health care payers, research institutions and other types of stake holders in the healthcare world. More particularly, the disclosed systems and methods relate to the creation, use and amendment of policy templates containing regimens, where a system of creation, use and amendment of the templates allows for practically unlimited tiers of participants and the non-conflicting movement of both templates and regimen customization through the disclosed system.

Abstract: Embodiments of the present invention provide methods, systems, and apparatuses for a fault resilient collaborative media serving array comprising a plurality of nodes. In one embodiment, the present invention provides a method for creating a fault resilient collaborative media serving array where the array nodes do not share memory, the serving of a content file is accomplished by the collaborative efforts of many nodes in the array, and where there is no fixed allocation of sessions to nodes.

Abstract: Embodiments of the present invention provide methods, systems, and apparatuses for a fault resilient collaborative media serving array comprising a plurality of nodes. In one embodiment, the present invention provides a method for creating a fault resilient collaborative media serving array where the array nodes do not share memory, the serving of a content file is accomplished by the collaborative efforts of many nodes in the array, and where there is no fixed allocation of sessions to nodes.

Abstract: The apparatus and method of the present invention provides a system for reducing the amount of information displayed in an on-screen television program guide. The user selects a genre by pressing a genre labeled button on a remote control. The remote control transmits an infrared signal to a set top box. The set top box then filters program guide data received from a satellite dish according to the selected genre and displays only channels and/or shows associated with the selected genre.

Abstract: Scheduled data is received and distributed in a system, such as a DSDD system. A schedule director receives a schedule representing inventory of data available from a data source and desired times for distributing the data. The schedule director coordinates with one or more resource managers that maintain information regarding resource utilization in the system. The schedule director negotiates with the resource managers to reserve resources in the system for receiving the scheduled data from the data source, storing the received data, and/or preparing the received data for delivery to a user. Resources are reserved based on the schedule and the resources determined to be available. The resources are reserved to perform at least one task, independent of other resources in the system.

Abstract: Embodiments of the present invention provide methods, systems, and apparatuses for a fault resilient collaborative media serving array comprising a plurality of nodes. In one embodiment, the present invention provides a method for creating a fault resilient collaborative media serving array where the array nodes do not share memory, the serving of a content file is accomplished by the collaborative efforts of many nodes in the array, and where there is no fixed allocation of sessions to nodes.

Abstract: Embodiments of the present invention provide methods, systems, and apparatuses for a fault resilient collaborative media serving array comprising a plurality of nodes. In one embodiment, the present invention provides a method for creating a fault resilient collaborative media serving array where the array nodes do not share memory, the serving of a content file is accomplished by the collaborative efforts of many nodes in the array, and where there is no fixed allocation of sessions to nodes.

Abstract: Scheduled data is received and distributed in a system, such as a DSDD system. A schedule director receives a schedule representing inventory of data available from a data source and desired times for distributing the data. The schedule director coordinates with one or more resource managers that maintain information regarding resource utilization in the system. The schedule director negotiates with the resource managers to reserve resources in the system for receiving the scheduled data from the data source, storing the received data, and/or preparing the received data for delivery to a user. Resources are reserved based on the schedule and the resources determined to be available. The resources are reserved to perform at least one task, independent of other resources in the system.