236 results about "Electronic records" patented technology

Meeting participation and presentation information about an individual or project is collected from public and private systems into an electronic record. The data is represented as NFTs and stored on a block chain and used to reward participants based on their contributions and actions relating to the meeting or due to the presentation. All of this is done securely and in compliance with privacy protocols.

An apparatus, including a computer including a database which stores a controllable healthcare record and information contained in a master records file, and a distributed ledger and Blockchain technology system. The apparatus facilitates a video call between a user device and a provider device. The computer, after processing information for updating the controllable healthcare record, processes information for identifying a plurality of electronic records for the individual and a second healthcare provider associated with each electronic record. The computer updates each of the plurality of electronic records, and generates a record update message. The computer transmits the record update message to each of a plurality of second provider devices associated with each second healthcare provider. Information regarding the update to the controllable healthcare record and the update to each of the second records is stored in the distributed ledger and Blockchain technology system.

This system provides a computerized method for executing a legally binding digital, comprising: creating a unique tokenized representation of the Pactvera using a non-fungible token standard; embedding a payment value or digital consideration into said token; verifying parties to the Pactvera through biometric authentication and decentralized identity (ChainIT ID) validated against an authoritative source; recording the Pactvera Validation with metadata including time, location, device ID, age verification, and jurisdiction; recording immutable authorship and origin metadata of the Pactvera, including verification of the creator and presenter through Pactvera Validation; validating the original token instance and execution context via a Business Rules Engine (BRE); and releasing payment or conditional consideration via smart contract upon satisfaction of predefined conditions. The invention further enables integration with electronic recording systems for real property transactions in compliance with the Uniform Real Property Electronic Recording Act and produces tamper-proof audit trails suitable for litigation and regulatory use.

An apparatus for generating annotations for electronic records is disclosed. The apparatus includes a processor and a memory containing instructions configuring the processor to receive unstructured data for a plurality of electronic records and generate a plurality of machine learning models (MLMs), wherein each MLM of the plurality of MLMs is trained using a machine learning algorithm. The processor is further configured to generate at least one annotation for the unstructured data using each MLM of the plurality of MLM and structure the unstructured data as structured data as a function of the generated annotations.

Systems, methods, and other embodiments associated with a framework for multi-entity detection, data sourcing, and processing are described. In one embodiment, a multi-entity processing method includes parsing an electronic document being processed in a processing flow for a first entity to detect that the document also concerns a second entity based on entity identifiers in the document. In response to the detection, the method determines an inter-entity agreement that governs processing between the first entity and second entity by matching attributes of the document against stored agreement data structures. The method automatically orchestrates processing of an inter-entity transaction between the first entity and the second entity by generating execution steps according to sequential and parallel dependencies specified by the inter-entity agreement. And, the method generates electronic records in a system of the first entity and a system of the second entity that reflect execution of the inter-entity transaction.

The invention relates to the technical field of electronic recording carriers, in particular to an RFID electronic tag and a manufacturing method thereof. The method comprises the following steps that a small antenna packaged with a chip is attached to the attaching surface of bearing base cloth and fixed through dispensing, wherein non-imitation cloth of the bearing base cloth is composed of fabric; pressing the pressing cloth strip and the bearing base cloth through a roll-to-roll pressing process, so that the pressing cloth strip covers the electronic tag body and forms a clamping and fixing structure; arranging a plurality of electronic tag bodies on a base band in an array form, and conveying the electronic tag bodies to a roll-to-roll detection device to carry out functionality and consistency testing; after the test is completed, carrying out surface printing, laser code engraving and UV code printing on the electronic tag body; and obtaining target product information and writing the target product information into the RFID chip. According to the invention, efficient production of the RFID electronic tag is realized through a roll-to-roll pressing and fixing technology, so that the production efficiency is improved, and the tag identification performance and traceability are improved.

In some implementations, a device may obtain a data set that indicates scores for first terms based on association scores between the first terms and second terms. The association scores may be based on occurrences of the first terms in electronic documents that provide transcripts relating to telecommunication interactions, and occurrences of the second terms in electronic records that provide summaries relating to the telecommunication interactions. The device may process an electronic document, that provides a transcript relating to a new telecommunication interaction involving an agent device and a user device, to extract candidate key phrases from the transcript. The device may determine a relevance score for each candidate key phrase based on the score(s), of the data set, associated with the first term(s) in the candidate key phrase. The device may generate tag(s) for the new telecommunication interaction based candidate key phrase(s) associated with highest relevance score(s).

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a note for a subject. In one aspect, a method comprises: obtaining a note template that defines a format of a note for a subject; automatically querying one or more record databases to obtain a set of electronic record data for the subject; generating a model input to a generative machine learning model based at least in part on: (i) the note template, and (ii) the set of electronic record data for the subject; processing the model input using the generative machine learning model and in accordance with values of a set of generative machine learning model parameters to generate a model output that defines the note for the subject; and outputting the note for the subject.

A system associated with an enterprise computing environment infrastructure may include a chaos testing tool data store that contains a plurality of electronic records, each record including a chaos engineering fault parameter. A computer processor of a chaos testing tool may receive, from a chaos testing user, injection information associated with an element of the enterprise computing environment infrastructure. The chaos testing tool may then access the chaos engineering fault parameter from the chaos testing tool data store and automatically arrange to inject a chaos engineering fault into operation of the element of the enterprise computing environment infrastructure in accordance with the injection information and the chaos fault parameter. A response of the element of the enterprise computing environment infrastructure may then be measured subsequent to said injection, and the system may output an indication of the measured response to the chaos testing user.

Systems and methods are described, and an example system includes an AI enhanced multi-source health data integration logic that receives a first source electronic health record (EHR) data from a first EHR system and a second source EHR data from a second EHR system, and transforms, according to a knowledge representation schema, health-related information content of the first source EHR data and the second source EHR data to a first source transformed health data and second source transformed health data. The system includes a collaboration platform, configured to host a multi-source transformed health data database, including the transformed first source health data and the transformed second source health data, and hosts AI-enhanced, multiple level telecollaborative analyses by a plurality of participants of the multi-source transformed health data database, generating health management data.

According to some embodiments, systems and methods are provided, comprising a classification data store that contains electronic records associated with entity classifications; and the back-end application computer server, coupled to the classification data store, including: a computer processor; and a memory coupled to the computer processor and storing instructions that, when executed by the computer processor, cause the back-end application computer server to: receive a name and an address associated with the name; receive third-party data associated with the name; classify the name as an enterprise type using a classification tool and the third-party data, the classification tool including a trained hybrid machine learning (ML) model; a communication port coupled to the back-end application computer server to facilitate an exchange of data with a remote device via a distributed communication network to support interactive user interface displays that include information about the classification. Numerous other aspects are provided.

We provide a blockchain automatic registration device for documents such as official daily reports and medical records that ensures the authenticity of business records, simplifies certification, and prevents tampering. [Solution] The system is equipped with an input means for acquiring electronic records entered or edited by users from a personal computer or tablet terminal, a communication means for sending or transferring the electronic records to a central information processing device, a processing means for hashing and digitally signing the electronic records, and a registration means for automatically registering the processing results obtained by the processing means in a blockchain, and is configured to automatically execute based on the electronic records.

An enterprise risk relationship document back-end application computer server receives a risk relationship document request associated with a particular risk relationship identifier. Responsive to the risk relationship document request, the computer server retrieves information from a risk relationship data store. The risk relationship data store may, for example, contain electronic records for a plurality of risk relationships between the enterprise and parties, and, for each risk relationship, a risk relationship identifier, a party identifier, a communication address, and at least one risk relationship parameter. Based on the retrieved information, a risk relationship document may be automatically created. The computer server may automatically establish a communication link and transmit information about the risk relationship document to the communication address associated with the particular risk relationship identifier. The computer server may also exchange data with a remote device to support interactive user interface displays that include information about the risk relationship document.

The illustrative embodiments provide a data platform, system and method for utilizing carbon credits through blockchain-based tokenization. The platform receives carbon utilization data corresponding to at least one carbon credit and executes a smart contract on a blockchain network based on the received data. Execution of the smart contract generates one or more blockchain tokens that embed metadata including a hash of the carbon utilization data and a unique security identifier. The platform performs electronic transactions for the tokens by propagating transactions for distributed consensus, verifying token authenticity through comparisons with distributed-ledger records, or generating immutable electronic records indicating tracking information for the carbon credit. Records of the electronic transactions are stored in a distributed ledger as immutable entries linking token activity to corresponding carbon utilization data.

A conversational AI platform for managing remote and hybrid clinical trials for investigational medical interventions. Embodiments of the present disclosure comprise a conversational AI model and an algorithmic logic engine configured to define and implement protocol parameters for dosing schemas, visit schedules, safety thresholds, and eligibility criteria for a clinical trial. An AI agent is configured to deliver mapped voice prompts to participant devices, captures audio responses, transcribe and extract symptom, adherence, or adverse-event data, and pair response data with physiological-sensor or laboratory input data. The logic engine continuously evaluates the combined data to adaptively select dose-escalation or titration instructions and issue follow-up queries while enforcing safety thresholds. All prompts, audio, transcriptions, decisions, and metadata may be immutably timestamped in an electronic record repository accessible via role-based, encrypted connections. Embodiments of the present disclosure provide for real-time, audit-ready trial communications, automated personalized dosing, and enhanced participant safety monitoring.

According to some embodiments, an automated scoring analysis computer may access information in a historical data store, including sets of attribute values and prior results for a plurality of prior associations, to create a scoring model. An indication of a selected potential association from a potential association data store may be received, including a set of attribute values. The scoring analysis computer may then calculate a risk score for the selected potential association based on the scoring model. A front-end application computer server may automatically select a workflow path from a plurality of potential workflow paths.

A method comprises receiving at least one data record associated with a patient, the data record including one or more data items represented as image data. Then, the method comprises pre-processing the at least one data record to enhance legibility of at least one data item of the one or more data items of the at least one data record. Then, the method comprises, using at least a first machine learning model, converting at least a portion of the pre-processed at least one data record into at least one machine-readable data record. Then, the method comprises identifying a standardized format. Then, the method comprises converting the machine-readable data record to the standardized record format and using at least a second machine learning model and assigning one or more predetermined activity codes to the at least one machine-readable data record in the standardized record format.

The invention provides an automatic winding and unwinding carbon fiber material detection method and system, and relates to the technical field of carbon fiber discharging detection, and the detection method comprises the following steps: carrying out fixed-point winding and unwinding operation on a plurality of point positions in the length direction of a coiled material on a carbon fiber material to be detected through an automatic winding and unwinding device; when each point location is in place, acquiring data of at least one detection unit for detecting the carbon fiber material to be detected, and forming detection data based on the acquired data and a measurement standard; and after the detection corresponding to all the point locations is completed, associating the detection data with image data acquired by an image acquisition device for shooting the whole detection process to form an electronic record. According to the automatic winding and unwinding carbon fiber material detection method and system, automatic detection is carried out to form an electronic record, the electronic record is synchronously given when a downstream enterprise buys the carbon fiber material, and secondary detection of the downstream enterprise is avoided.

A generative AI framework for an enterprise may utilize a cloud-based generative AI operational environment to execute LLMs. A mini-platform library data store contains electronic records associated with a plurality of potential generative AI mini-platforms, and a workflow function library data store contains functions usable to customize managed workflows. A plurality of active enterprise mini-platforms may each be based on a potential generative AI mini-platform and have a customized managed workflow for an enterprise use case. An enterprise application integration component coupled to the cloud-based generative AI operational environment and the active enterprise mini-platforms facilitates model routing and orchestration to support the LLMs. The integration component may also interface between the cloud-based generative AI operational environment and the active enterprise mini-platforms to provide access to enterprise data that is processed via customized managed workflows.

To provide a system that assists medical persons in creating order documents and recording documents in electronic medical charts to support efficient medical activities, using large language models (LLM) in which a large amount of the latest medical knowledge is learned.SOLUTION: The flow of an electronic medical chart system that uses a large language model used by doctors, nurses, and other staff via terminals connected to a LAN, includes electronic medical chart item extraction means for extracting information on items required for processing documents in an arbitrarily designated document category from electronic medical charts, and electronic medical chart content transcription means for providing the extracted electronic medical chart content as a prompt for the large language model.SELECTED DRAWING: Figure 10

Methods, systems, and techniques for provider-level erroneous electronic medical claim record detection. The records encode medical services providers, medical activities performed by the medical services providers, and specialties of the medical services providers. A cohort of the medical services providers are identified by specialty. Activity feature vectors respectively corresponding to the medical activities performed by the medical services providers of the cohort are generated. A mixture model having components fit to the activity feature vectors is determined and a provider feature vector for each of at least one of the medical services providers is generated. This generating involves mapping activities performed by each of the at least one of the medical services providers in accordance with the mixture model. Each of the provider feature vectors is processed using an anomaly detection method to identify the at least one of the medical services providers that have submitted abnormal electronic records.

A computer-implemented method for electronic record classification and machine learning inference(s)-informed automated electronic communication includes obtaining one or more electronic records comprising an unstructured component, the unstructured component comprising a textual representation of a set of instructions; extracting a first set of feature vectors comprising features related to a proposed action instruction, and a second set of feature vectors comprising features related to a proposed temporal instruction; computing a first classification inference and a second classification inference that indicates a likely proposed action instruction type and a likely proposed temporal instruction; generating, by the one or more computer processors, a structured digital artifact accessible via a graphical user interface.

Some embodiments are directed to a regulatory compliance tool implemented via a back-end application computer server. A location based regulatory compliance data store may contain electronic records associated with a set of locations. Each electronic record may include, for example, an electronic record identifier and at least one regulatory compliance parameter. The computer server may receive, from a user via an interactive graphical user interface display, a set of task indications associated with regulatory compliance. The computer server may also receive, from the user, a selected location from a set of potential locations. The computer server may then retrieve, from the location based regulatory compliance data store, information about the at least one regulatory compliance parameter associated with the selected location. The computer server may then update the display based on the retrieved information about the at least one regulatory compliance parameter associated with the selected location.

Systems and methods for dynamic data processing and graphical user interface generation are provided. A system may include a network interface configured to request and receive, via a computer network from one or more sources in remote locations, electronic record data associated with an individual; an input filter configured to identify structured and unstructured information in the electronic record data; a data selector configured to analyze the structured and unstructured information; a timeline generator configured to generate, based on the analysis, interface information for displaying an interactive graphical user interface configured to present an event timeline of events in the electronic record data; and a display configured to provide the interactive graphical user interface based on the generated interface information.

The boosting of the weights related to imperfect matches of electronic records from disparate sources is discussed. The imperfect matches may be in primary data (such as a code) and / or in supplemental data between two or more records that correspond to the same person (such as a patient). The imperfect matches are analyzed to determine whether they are sufficient to warrant de-duplication of those imperfect matches in a final combined record for the person. The boosting of the weights may be based upon any of numerous factors, such as various distance measures between the supplemental information as a measure of how different the supplemental information is between the respective records.

A gaming system and method selects a subset of gaming devices to operate in a digital ledger validation mode to validate a set of data records defining a digital ledger, allocates, to each gaming device, a respective work unit, receives, at an electronic address associated with the gaming server, an electronic record defining a reward, tracks play activity at each of the plurality of gaming devices, and, based on the tracked play activity, selects a player from among multiple players to receive the reward.

The invention provides a data calculation method and system suitable for a biopharmaceutical production process, and relates to the field of data processing.The method comprises the steps that a configuration component library is established based on biopharmaceutical production process data, and the configuration component library is used for storing calculation unit components; establishing a formula library based on biopharmaceutical production process data; generating an electronic record template based on the configuration component library and the formula library; obtaining a user operation instruction through the electronic record template; obtaining a target formula from a formula library based on the user operation instruction, and binding a calculation unit component for a variable in the target formula; the dependency relationship between the target formulas is analyzed through a calculation formula configurator, a calculation chain path diagram is generated, and integrity and execution feasibility verification is conducted on the calculation chain path diagram; after the integrity and execution feasibility verification is passed, calculation is completed based on the calculation chain path diagram, and a calculation result is output, and the method has the advantage that the efficiency and accuracy of data calculation in the biopharmaceutical production process are improved.

Systems and methods are disclosed for detecting partial electronic schedule updates and generating targeted electronic notifications. A system may comprise a communication interface configured to establish bidirectional communication with a plurality of electronic devices, and at least one processor. The at least one processor is configured to receive trade request information from a first electronic device, determine a second electronic device associated with the request recipient, generate and transmit a request electronic notification to the second electronic device including at least one response hyperlink, receive, from the second electronic device, acceptance data generated in response to selection of the at least one response hyperlink, automatically modify an electronic record to update schedule information for the request recipient and the requestor, and automatically generate and transmit update electronic notifications to the first and second electronic devices for generating graphical user interfaces reflecting completion of the trade request.

The present disclosure provides techniques for friendship-based automated recommender system. One example method includes receiving electronic record data indicating interactions between a plurality of users and a plurality of providers, constructing a bipartite graph based on the interactions, identifying, for each user of the plurality of users, a set of other users in the plurality of users, adding to the bipartite graph, for each user of the plurality of users, intra-user edges between the user and the set of other users, computing, for each respective intra-user edge of the intra-user edges, a weight of the respective intra-user edge, computing, for each respective user of the plurality of users, a popularity score, computing, for each respective provider of the plurality of providers, a reputation score, and training a recommender system using the reputation scores of the plurality of providers, wherein the recommender system is used to automatically determine a provider recommendation.

Embodiments of the present disclosure are directed to facilitating access to assets in a virtual and / or real-life gaming environment. For example, allocating assets in a Virtual Reality (VR) environment can comprise providing, to a VR user device, a representation of a virtual casino including a virtual asset, receiving, from the VR user device, a request to utilize the virtual asset, and performing a validation process on the request to utilize the virtual asset. In response to successful completion of the validation process, an electronic record associated with the virtual asset can be updated to indicate allocation of the virtual asset to a user of the VR user device. For example, allocating the virtual asset to the user of the VR user device can comprise allowing an avatar for the user to sit at a virtual gaming machine in the virtual casino.