16 results about "REMS Stakeholder" patented technology

Apparatus, systems, articles of manufacture, and methods are disclosed for generating a data supply chain object. An example non-transitory computer readable storage medium disclosed herein includes data which may be configured into executable instructions and, when configured and executed, cause one or more processors to at least: derive a provenance of a first data supply chain object; identify a first stakeholder from the provenance; determine if the first stakeholder is verified; utilize data associated with the data supply chain when the first stakeholder is verified; build a tag-value structure based on the utilization of the data; build a second data supply chain object based on the tag-value structure and an identity of a second stakeholder; and add the second data supply chain object to the data supply chain.

Implementations described and claimed herein provide systems and methods for a cloud-based seizure management platform for personalized management of seizures while providing assured connectedness across multiple stakeholders. The systems and methods address the needs of a patient in the area of seizure management, through such functionalities as seizure detection, seizure histories and other health-related data management, stakeholder connectedness, tachyphylaxis detection, drug titration guidance, and / or treatment aggressiveness management. The system provides for access for multiple parties, including allowing neurologists and / or caregivers to monitor progression of neurological conditions on a continuous basis while at home or otherwise remote from the patient. The unique methodology of the seizure management system includes wearable technologies coupled with artificial intelligence, machine-learning algorithms, and data modeling techniques to enable personalization of care.

The invention discloses a block chain-based construction project full life cycle information integrity guarantee method and system, and the method comprises the steps: firstly assigning a key address for each stakeholder in a construction project full life cycle; a sender uploads information to generate a hash value, and the hash value is processed by a series of functions to obtain an encrypted code and broadcasts the encrypted code; after verification, the receiver repeatedly processes and broadcasts; other parties decrypt and verify; if the verification exceeds the preset proportion is passed, the system packs the data into blocks, a difficulty problem is set, the first solver obtains permission and rewards, and the information and the blocks are stored together; the system is used for realizing the method, the information cannot be tampered through asymmetric encryption and a multimode hash function, and the transmission security is ensured by adopting a hybrid broadcast mode and an encryption channel; a dynamic consensus mechanism is combined with differentiated rewards to form decentralized verification ecology, the trust problem of a traditional mode is effectively solved, and digital upgrading of the building industry is promoted.

The Decentralized Stakeholder Voting Layer enables trust-weighted blockchain voting by aggregating stakeholder metrics, weighting votes based on trust and alignment using dynamic machine learning, processing decentralized ballots with fraud detection, tallying results transparently, and delivering governance decisions securely. The system comprises a metric aggregator for data ingestion, a trust weighting engine for vote adjustment with feedback, a voting processor for ballot handling, a tally module for result compilation, and an output layer for secure delivery. The method aggregates metrics, weights votes, processes ballots, tallies results, and outputs decisions for applications like decentralized governance and organizational decision-making. By integrating trust metrics, ensuring GDPR compliance, providing immutable auditing, and optimizing consensus efficiency, this invention reduces manipulation risks, enhances transparency, and supports interoperable governance in distributed networks.

Method for multi-objective optimization of a list of time slots for stakeholders (A, B, …), (a) wherein an initial list (L0) of flights in time slots is provided, (b) wherein each stakeholder (A, B, …) provides preferences in the format of a weight map (wi) comprising at least a time preference value (ti) assigned to each combination of time slot and item-ID for the respective stakeholder, (c) wherein a value of satisfaction (v) is defined that corresponds to the fulfilment of the preferences by distributing either the time slots or item-IDs in a specific list (Li), and wherein a first objective is provided that consists of generating an improved list (Lf) in which the value of satisfaction (v) is the highest, (d) wherein repeatedly for a predefined number of times two items are permutatively swapped and multiple times repeat: (e) generate a next generation of candidate lists comprising a predefined number of lists (Lc2i) by (e.1) taking a predefined number of candidate lists with best specific values of satisfaction (vi) of the given generation and for each of the chosen lists doing a predefined number of swaps according to a constraint (cm), and / or (e.2) taking a predefined number of candidate lists and combine two or more of the chosen lists according to a constraint (cc), each list having a specific value of satisfaction (vi).

A computer-implemented method for performing automated sharing of data and analytics across a data space platform includes receiving a request for a data analytics service from a first data stakeholder, determining first semantic data for the service based on the first data stakeholder and the request, and extracting second semantic data from a second data stakeholder based on comparing relevance to the first semantic data. The first semantic data comprises raw data and semantic annotations, stored as a knowledge graph. An analytics insight based on the first and second semantic data is provided to the first data stakeholder without revealing the second semantic data. The method can be applied to machine learning and regression problems (continuous values) including, but not limited to, providing improvements to various technical fields such as medical diagnosis and treatment, operation system design and optimization, material design and optimization, telecommunication network design, decision making and optimization.

The present specification discloses methods for delivering sustainable healthcare to a patient-population suffering from a chronic condition to improved healthcare outcomes. The disclosed methods comprises aligning stakeholders involved in delivering care to the patient-population based on common metrics of success; establishing an advance primary care team to liaison with the patient-population and a community where patient-population resides to facilitate a delivery of care program; identifying the patient-population by assessing one or more individuals suffering from the chronic condition by risk stratification parameters; and implementing a sustainable value-based payment scheme. The disclosed methods may further comprise a data management step that provides a data infrastructure that facilitates analysis and reporting to enable transparent data sharing of each patient-population member linked to outcomes and cost and / or a technology platform step that implements an interoperable and flexible healthcare framework that monitors delivery of care and healthcare outcome of each patient-population member.

A fire rescue management platform comprising a network of nodes, each linked to stakeholders including residents, security personnel, civil defense, emergency responders, and tenants. It features a client module executed on stakeholder-associated devices, configured to receive real- time fire safety data from sensors or user inputs and to transmit safety status data, such as location and assistance requests, to a centralized server module. The server module processes this data through a rule engine, generating and disseminating color-coded fire threat alerts reflecting various severity levels to all stakeholders. It consolidates tenant safety information, dynamically updates threat zones in real time, leveraging sensor inputs and tenant feedback within a defined environment. The platform enables multi-agency communication via an external communications module, produces actionable reports to coordinate rescue operations, and outputs notifications reflecting different fire threat levels to client devices and other stakeholders, thereby providing integrated, responsive, and coordinated fire emergency management system.

We provide the system. [Solution] Sensing means for receiving personal health data, An information processing means for analyzing data obtained from the sensing means and generating health-related indicators, An advice generation means for providing individual health management advice based on health indicators generated by the aforementioned information processing means, A communication means for notifying the user terminal of the health management advice generated by the advice generation means, A means for monitoring health status using the aforementioned health indicators and anomaly detection algorithm, and for notifying stakeholders when an anomaly is detected, A system that includes this.

Methods and systems for managing operation of a deployment are disclosed. The operation may be managed by securing a blueprint using a consensus from stakeholder devices. The consensus may be obtained by sending, by the stakeholder devices, shares of a secret key to an edge management system. The secret key may be used to decrypt an encrypted copy of the blueprint. A sufficient quantity of the shares may be a minimum number of the shares to generate the secret key. Once the secret key is generated, the encrypted copy of the blueprint may be decrypted to generate the blueprint. The blueprint may then be deployed to a data processing system of the deployment.

A method and system for a communication between a first network element and a second network element in a communication system utilizing decentralized identifiers (DIDs), the method comprising: a) using, by the first network element, a DID comprising: i) a unique identifier uniquely associated with the first network element; and ii) a stakeholder identifier associated with the first network element and / or a mobile virtual network operator, MVNO, identification associated with the first network element; b) transmitting, from the first network element to the second network element, a request message comprising the DID; c) receiving, at the second network element, the request message and extracting the stakeholder identifier and / or extracting the MVNO identification from the DID; d) evaluating, at the second network element, the stakeholder identifier based on a first criteria, in particular a first security criteria, and / or evaluating the MVNO identification based on a second criteria, in particular a second security criteria; e) determining, based on the evaluation, whether to accept or deny the request for establishing a communication; and f) establishing a communication, in particular a secure communication, between the first and second network elements if the request is accepted.

A system and method for managing product recalls within a supply chain are provided. The method includes identifying and tracing products with quality issues, then initiating a recall. The recall initiation involves generating a consignee list with stakeholder information, which includes regulatory bodies, distributors, and end-users. Notifications are sent to stakeholders listed in the consignee list. The method also includes tracking and confirming the product recall method, generating compliance reports, and closing the recall. This comprehensive approach ensures efficient and accurate recall management by integrating stakeholder communication, real-time tracking, and thorough documentation, thereby enhancing regulatory compliance and minimizing operational disruptions.

A method, computer program product, and computer system for a platform for managing injectable medication administration reporting. The platform may include: a server configured to receive administration data from an intelligent injection device, a database configured to store treatment schedules, an artificial intelligence module configured to categorize injection events based on compliance with treatment schedules, and a reporting module configured to: generate detailed reports on patient adherence, automatically distribute reports to stakeholders, track patient outcomes, and facilitate management of healthcare documentation.

A method, computer program product, and computer system for a platform for managing injectable medication administration reporting. The platform may include: a server configured to receive administration data from an intelligent injection device, a database configured to store treatment schedules, an artificial intelligence module configured to categorize injection events based on compliance with treatment schedules, and a reporting module configured to: generate detailed reports on patient adherence, automatically distribute reports to stakeholders, track patient outcomes, and facilitate management of healthcare documentation.