26 results about "REMS Stakeholder" patented technology

The invention relates to a network public opinion intelligent classification and emergency decision-making system based on multi-modal fusion and dynamic evolution, and belongs to the field of network public opinion monitoring and big data analysis and artificial intelligence. The system comprises a multi-source data acquisition and preprocessing module used for crawling multi-modal data, constructing a propagation path map after preprocessing, and identifying key propagation nodes; the multi-dimensional classification engine module is used for carrying out conflict intensity quantification on public opinion events and dynamically updating a rule word bank to keep the adaptability of a conflict intensity quantification model; the event graph construction and anomaly detection module is used for constructing a public opinion propagation path and public opinion event generality logic chain mode, monitoring public opinion propagation speed and giving an alarm; the stakeholder dynamic risk assessment module is used for finely classifying network public opinion participants, providing a basis for differential propagation intervention and simulating public opinion evolution to carry out risk simulation; and the intelligent decision-making and emergency response module executes different levels of emergency measures based on the risk index according to the hierarchical response strategy.

The present disclosure relates to a system and method for improved monitoring compliance within an enterprise based on inputs received from stakeholders. The present invention provides a system for generation of compliance model and updation of compliance model based in changes in regulatory compliances. The generation model is configured to generate a first set of labels and a first set of data points. Further, the first set of labels are validated by one or more said user to generate a second set of labels for additional data points based on validation of first set of labels. The generation of first and second set of label generates training ready data from the first and second set of labels for training a data model. Further, the present invention provides for updating of compliance model based on update in regulatory compliance rules. In updating the compliance model, the system provides generation of third set of labels corresponding to additional data points corresponding to new rules / compliance and the third set of labels are validated by users and the validated labels are used for re-training the compliance model.

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.

A system for integrated project funding and management is disclosed. The system consists of data collection units, a central controller, and a data exchange platform. The central controller includes a back-end server that processes contextual project data and contextual stakeholder data through data ingestion and analysis modules to determine stakeholder participation metrics and project performance indicators. The data exchange platform comprises a distributed ledger technology (DLT) module for transaction recording, a tokenization module for asset representation, and a smart contract generation module for financial process automation. In operation, the central controller is adapted to automatically tokenizes project assets based on performance metrics and stakeholder participation, while recording project transactions through its distributed ledger framework. This system provides a solution for project funding and management through asset tokenization and automated transaction processing.

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.

Systems and methods for providing, monitoring, and managing dental telehealth are described. In some embodiments, user collected data (self-collected data) are obtained (e.g., in image form) and integrated (optionally along with other patient-specific information) into a decision-supporting data system. In some embodiments, user-collected images are obtained using a camera of a personal electronic device equipped with an optical add-on that assists in transferring the field of view of the camera to an offset location, e.g., within the mouth. The data system optionally further takes into account data aspects of a dental health system such as individual procedure costs, overall treatment costs, treatments, availabilities, performance levels, and outcomes. Data characterizing any of these may in turn be taken into account. Decision making is thereby optionally promoted for any of several stakeholders such as insurance provides, health care organizations, individual health care providers, and / or assessors thereof.

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 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.

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.

A system design optimization system that optimizes design of a target system is configured to acquire feedback related to an improvement of the target system from a stakeholder of the target system, interpret the acquired feedback to apply the feedback to the target system, generate, from a result of the interpretation, an instruction set to be given to the target system, provide the stakeholder with an implementation status of the instruction set, and acquire the feedback related to the improvement of the target system until the stakeholder approves.

To provide a sales activity analysis support system and method for analyzing sales activities at a further high level.SOLUTION: A sales activity analysis support system S includes: an accumulated information summarizing unit that receives a behavior history database for accumulating behavior information for every sales case, a case management database for storing case management information including stakeholder information, and identification information for identifying a sales case for which one or more input documents are created, acquires the case management information from the case management database, acquires behavior information relating to the sales case accumulated in the behavior history database when the input documents are received, and generates summary data; a context inference unit that generates context information representing a context until the input documents are received on the basis of the summary data and the input document; a behavior analysis unit that generates behavior information on the basis of the context information and the input documents, and records the generated behavior information in the behavior history database; and a sales activity analysis unit that performs analysis processing of sales activities on the basis of the behavior information accumulated in the behavior history database.SELECTED DRAWING: Figure 3

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.

The present invention relates to a system (100) and method (200) for delivering aggregated animal care services. The system (100) comprises a user interface (10) accessible via web or mobile platforms, a login module (20) for user authentication and role-based access, a data collection module (30) to store animal profiles, user data, and service provider details, and a repository (40) for maintaining structured records of pets, incidents, and services. An aggregation module (50) analyses data to generate case updates, alerts, and recommendations. A communication module (60) enables messaging, group interaction, forums, and feedback. A services module (70) provides access to emergency response, adoption, rescue, medical services, donations, volunteer coordination, and lifecycle tracking. The system (100) supports integrated animal welfare management by enabling real-time collaboration and streamlined access to services for all stakeholders through a unified platform, enhancing coordination and continuity in animal care efforts.

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.