123 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.

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.

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.

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.

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.

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 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.

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).

The present invention relates to a method for implementing a multi-tenant / shared Redis cluster using Envoy. A system and method are disclosed that are associated with: at least one physical data storage instance adapted to contain electronic records; and a shared cluster platform coupled to the data storage, the shared cluster platform including: a computer processor, and a computer memory coupled to the computer processor, the computer memory storing instructions that, when executed by the computer processor, cause the shared cluster platform to: receive a request from a first tenant; select a physical data storage instance in response to the request; generate a first container for the first tenant, wherein the first container maps the first tenant to the selected physical data storage instance; generate a unique first key element for the first tenant; and send a first endpoint of the first container as a proxy for the selected physical data storage instance, wherein the sending implements the request. A variety of other embodiments are provided.

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.

The invention discloses a clinical laboratory electronic recording method based on ISO15189, and belongs to the technical field of information management. The method specifically comprises the following steps: S1, data classification and sensitivity level labeling: analyzing electronic record contents through a natural language processing technology, identifying data types, and labeling the sensitivity level of the identified data according to a preset sensitivity rule; and S2, storage period determination: determining the storage period of the data according to the marked sensitive level of the identified data. The redundancy index of the recorded data is obtained by analyzing and calculating the related index data of the data, and then the redundancy index of the data is corrected according to the master-slave relation between the data and other data and the compliance requirement of the data to obtain the corrected value of the redundancy index. And determining to trigger a redundant data cleaning prompt according to the redundancy index correction value and a preset threshold value of the redundancy index correction value, so that the processing of high-heat data backup is delayed, and the deletion of the data needing to be used is avoided.

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.

Multiple polynucleotides with random sequences are collectively used as a molecular anti-counterfeiting tag. The polynucleotides are placed on an item as a molecular identifier of authenticity. Each position within the random sequences is synthesized using a predetermined ratio of nucleoside bases. With this technique the sequence of each polynucleotide is random but the ratio of nucleoside bases over the collection of synthetic polynucleotides is not. Verification of authenticity is achieved by sequencing a portion of the polynucleotides collected from the item and calculating the ratio of nucleoside bases at each position. If these ratios are the same or similar to the ratios used for synthesizing the polynucleotides, then the item is identified as authentic. The ratios of nucleoside bases and a description of the item may be stored in an electronic record that is used for validating authenticity of the item.

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.

A system for facilitating interoperability among health care modules includes an interface configured to receive a first electronic record from a first health care module. The first electronic record has a first data structure. The system also includes a processor communicatively coupled to the interface. The processor is configured to analyze the first electronic record having the first data structure, and, based on the analysis, extract a portion of data from the first electronic record. The processor further creates a second electronic record using the portion of data from the first electronic record, where the second electronic record has a second data structure. The second data structure is configured to be compatible with a second health care module. The interface is further configured to transmit the second electronic record for display to the second health care module.

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.

The present invention provides a method and system for automatically reeling and unreeling carbon fiber materials, which relates to the technical field of carbon fiber unwinding detection. The detection method includes: performing fixed-point reeling and unreeling operations on a carbon fiber material to be tested at multiple points in the length direction of the coil by an automatic reeling and unreeling device; when each point is in place, acquiring data detected by at least one detection unit on the carbon fiber material to be tested and forming detection data based on the acquired data and measurement standards; after the detection corresponding to all points is completed, the detection data is associated with the image data collected by an image acquisition device that captures the entire detection process to form an electronic record. The method and system for automatically reeling and unreeling carbon fiber materials of the present invention automatically detect to form an electronic record, and the electronic record is simultaneously provided to downstream enterprises when they purchase, avoiding secondary detection by downstream enterprises.

A transient infrastructure management platform may establish a transient infrastructure in a cloud computing environment, trigger execution of a big data workload batch processing job, run a master script, and automatically shut down the transient infrastructure and delete associated resources. A cloud computing allocation tool may receive information from an enterprise structure data store containing electronic records (with each record including hierarchy information about organizations within an enterprise). The cloud computing allocation tool may also receive execution information associated with the big data workload batch processing job that was executed by the cloud computing environment for the enterprise. Based on the received execution information, hierarchy information about organizations within the enterprise, and allocation rules, the cloud computing allocation tool may automatically calculate allocation amounts for the execution information among a plurality of the organizations.

An automated annotation system to automatically designate annotations to records within a report, which may perform operations that include: designating an annotation to a location, the annotation comprising a text string; identifying a record of the location within a report; selecting the annotation based on the record of the location within the report; and applying the text string of the annotation to the record within the report, according to certain example embodiments.

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.