89 results about "Electronic records" patented technology

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.

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.

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.

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.

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.

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.

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.

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.

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).

Some embodiments are directed to a resource allocation analysis system implemented via a back-end application computer server. A resource data store may contain electronic records associated with a set of resource types, each electronic record including an electronic record identifier and resource parameter. The back-end application computer server may receive, from the resource data store, information about a set of resource types to be analyzed, including the associated resource parameters. The computer server may then execute a differential evolutionary algorithm to optimize the set of resource types based on at least one non-linear constraint and generate resource analysis results. The back-end application computer server may, according to some embodiments, perform a resampling process that uses non-parameterized historical data, regression on at least one resource type, and moment matching.

Aspects of the inventive concepts involve a system and a method that include or use an AI overlay that applies models to interpret content from an electronic health record (EHR) display and generate insights related to the displayed EHR. Healthcare practices access an EHR system comprising a plurality of patient EHRs. The practice also has access to an application linked to at least one secondary source of patient information, such as an accountable care organization (ACO) application. The AI overlay implements vision or image-based processing of a displayed patient EHR to generate the insights from the secondary source of patient information, such as a summary of relevant patient data created since the patient's last visit to the practice (e.g., payer claims, pharmacy and lab information, admission, discharge and transfer events), and to provide auxiliary information, such as potential diagnosis and / or suggested care actions, within the screen displaying the EHR.

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.

A system integrates a medical facility's application used for the population of Electronic Medical Records (EMRs) or Electronic Health Records (EHRs) with a rental's company ordering and invoicing application(s). For example, the system may allow personnel to admit patients and rent medical equipment, and / or to discharge patients and return medical equipment, at the same time. The system can automatically process electronic forms, schedule clinicians' requests for equipment delivery, pick up of equipment, or patient transfers, and populate electronic records of invoices. A method for automatically ordering and / or returning healthcare equipment rentals utilizes the system.

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.

A back-end application computer server may receive a risk relationship analysis request from a user device. The computer server may then extract and summarize information, by a data extractor using deep learning and natural language processing from multiple data sources (including knowledge graphs, websites, and historical loss reports). A response generator may then generate an accurate and contextually relevant response based on the extracted data and information in a risk relationship data store. The risk relationship data store may, for example, contain electronic records associated with a plurality of risk relationships between the enterprise and parties. The relevant response can then be transmitted to the user device.

Dynamic session headers for a computing session via a remote dictionary are provided. A system establishes a session responsive to receiving a first request from a browser, the session authenticated using a cookie configured to access a first electronic record. The system stores data corresponding to the session in a remote dictionary server. The system identifies a second request to modify the session to access a second electronic record and accesses, using the cookie, the data corresponding to the session from the remote dictionary server. The system receives, using a reverse proxy technique, data to update the session. The system modifies the session by storing the second identifier in the remote dictionary server and provides the browser with access to the second electronic record via the session.

An entity data store contains electronic records associated with entities (e.g., businesses). For each entity, electronic records include an entity identifier, entity operational data, and parameters associated with that entity (e.g., business name, address, etc.). A resolution rule library contains electronic records associated with resolution rules, including a rule identifier and rule logic. An ingestion engine of a computer server receives big data input and accesses the resolution rule library. Based on resolution rule logic and the received big data input, the computer server automatically resolves that two electronic records with different entity identifiers are associated with a single entity. The computer server can then update the entity data store to reflect information for a resolved single entity identifier and automatically execute an enterprise workflow for a risk relationship between the enterprise and the entity represented by the resolved single entity identifier.

This application relates to the field of securities and futures archive management technology, and discloses an electronic archive pre-archiving device, method, equipment, and medium. The device includes: a data receiving module for receiving metadata and electronic files pushed from a source system, with a one-to-one correspondence between the metadata and electronic files; a four-property detection module for performing four-property checks on the metadata and electronic files based on a pre-set four-property detection model; a metadata cleaning module for cleaning the metadata after the four-property checks based on a pre-set data cleaning model; a pre-archiving information package generation module for encapsulating the cleaned metadata and electronic files into a pre-archiving information package based on a pre-set pre-archiving information package model; and a pre-archiving information package push module for pushing the pre-archiving information package to the archive system based on a pre-set push model. This application performs four-property checks on archive data during the pre-archiving process, achieving single-set paperless archiving.

A cloud platform trains a machine-learned entity matching model that generates predictions on whether a pair of electronic records refer to a same entity. In one embodiment, the entity matching model is configured as a transformer architecture. In one instance, the entity matching model is trained using a combination of a first loss and a second loss. The first loss indicates a difference between an entity matching prediction for a training instance and a respective match label for the training instance. The second loss indicates a difference between a set of named-entity recognition (NER) predictions for the training instance and the set of NER labels for the tokens of the training instance.

An apparatus is provided for verifying cryptographically signed user electronic records including credentials according to multiple credential standards. A cryptographic proof request is generated to include proof requests for the respective credential standards and sent to an electronic device. The response is a cryptographic proof response that can be decoded in accordance with a first credential standard to obtain data for the first credential, an associated proof, and a proof response fore a second credential standard. The second credential standard may then be decoded in accordance with a second credential standard to obtain data for second credential and an associated proof. The respective data sets can then be verified using their respective proofs and verification results determined.

The invention discloses an intelligent monitoring and recording system for wound healing after an orthopedics department, and belongs to the technical field of medical image processing, the system comprises a multi-modal feature extraction module, a space-time coupling healing analysis module, a self-adaptive threshold optimization module and an intelligent record generation module, the multi-modal feature extraction module fuses RGB color, Lab color space and texture features; the space-time coupling healing analysis module establishes a time-space two-dimensional coupling model of the wound and generates a healing rate parameter and a healing stage identifier, and the adaptive threshold optimization module dynamically generates an anomaly detection threshold according to historical data and reversely adjusts the weight of the space-time coupling model to form closed-loop optimization, so that the healing speed of the wound is improved. The intelligent record generation module automatically generates a standardized electronic record, accurate evaluation, dynamic tracking and intelligent recording of the orthopedic postoperative wound are achieved, and the nursing quality and efficiency are remarkably improved.

Synthetic molecular tags are placed on an item at various points in a supply chain to create a molecular record of movement through the supply chain. Associations between each unique synthetic molecular tag and individual locations in the supply chain are stored in an electronic record which may be maintained in the cloud. The synthetic molecular tags are collected from the item and sequenced to determine movement of the item through the supply chain by reference to the electronic record. The synthetic molecular tags can be used for identifying recalled items based on locations in the supply chain associated with a recall. The synthetic molecular tags may be polynucleotides such as deoxyribose nucleic acid (DNA). The item may be any type of item including food.

The invention relates to an electronic file security management method and system based on big data, and belongs to the field of big data. The method comprises the steps that the number of decommissioned persons is N, N is a positive integer, and an electronic file of each decommissioned person at least comprises a resume item, an assistance item and an activity item; wherein the resume item comprises a work and study item, an address and contact way item, a service unit category and name item, a service age item and a complement and honor item; the assistance items comprise disease categories, disability categories and pacifying categories; the activity items comprise an ascending item, an employment demand item, a recruitment demand item and a training demand item; the electronic file data of the N retired persons are stored in the service center; the service center marks the electronic archives of the N retired persons; and retired personnel inquire and manage the electronic archive data through the terminal. According to the method, the electronic file data is isolated, so that the data security is improved, and the service and guarantee level of retired personnel is improved by performing sub-item labeling on the electronic file.

This invention discloses a method, system, and storage medium for verifying experimental data in electronic records. According to verification instructions, the method acquires the data of each experimental instrument recorded within the verification area and the corresponding bound instrument screen image. Based on the instrument type in the experimental instrument data, it queries the corresponding screen recognition information in the instrument information database. Based on information such as the position of digital feature areas and non-digital feature areas on the screen, it identifies the instrument measurement parameters in the instrument screen image. Finally, it compares the identified information with the information already entered in the electronic experimental record to identify any errors in the record. This effectively ensures the accuracy of the entered data in the experimental record and eliminates the significant time and effort required for quality inspectors to manually compare the data in the input boxes of each record book with the instrument screen images.

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.

The present disclosure provides techniques and apparatus for capturing an image of a person's retina fundus, identifying the person, accessing various electronic records (including health records) or accounts or devices associated with the person, determining the person's predisposition to certain diseases, and / or diagnosing health issues of the person. Some embodiments provide imaging apparatus having one or more imaging devices for capturing one or more images of a person's eye(s). Imaging apparatus described herein may include electronics for analyzing and / or exchanging captured image and / or health data with other devices. In accordance with various embodiments, imaging apparatus described herein may be alternatively or additionally configured for biometric identification and / or health status determination techniques, as described herein.

Described is a method, comprising: receiving, a template electronic report configured to display information in a graphical format associated with one or more preferences of a physician; receiving, patient information associated with a medical assessment conducted on a patient of the physician; generating a summary electronic report by populating the template electronic report at least in part by processing the patient information and the one or more preferences of the physician with a trained machine learning model; wherein the summary electronic report is configured to display a summary of the medical assessment in the graphical format associated with the one or more preferences of the physician; wherein the summary of the medical assessment comprises a subset of information comprised within the complete electronic record of the medical assessment; and wherein the subset of information comprises at least one image.

The present disclosure relates generally to a gaming system, device, and method supportive of an enhanced electronic gaming machine "Out of Service" mode. A gaming system, device, and method are provided that receive a user input that invokes, for a player, a service mode for a gaming device during a gameplay session, place the gaming device into the service mode, generate an electronic record based on invoking the service mode for the player, and output a notification based on placing the gaming device into the service mode. The electronic record may include a set of parameters associated with the service mode. The notification may include information describing at least a portion of the electronic record. 20 26 21 67 42 11 A ug 2 02 6 A u g 2 0 2 6 2 0 2 6 2 1 6 7 4 2 1 1

Agentic digital assistant methods and systems for generating a response to a user query are disclosed. A method includes accessing a query regarding a person and database schema information for a database storing an electronic record for the person. An input for a generative machine learning model is generated based on the query and the database schema information. The input is provided to the generative machine learning model to an execution plan for executing actions in one or more stages to generate a set of results for use in generating a response to the query. The execution plan is executed to obtain the set of results. A response to the query is generated using the set of results.