163 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.

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.

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

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.

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.

Methods, systems, and computer-readable media are disclosed herein that employ a contextually intelligent framework. In accordance with embodiments, a knowledge model having rules, axioms, and a domain ontology is evaluated to determine rules that are redundant to other rules and axioms, to determines those rules thresholds that may be refactored to generate composite rules and reduce the overall quantity of rules in the knowledge model, and to generate and add new concepts as axioms to the domain ontology as determined through refactoring. Methods, systems, and computer-readable media are disclosed herein that use the refactored and improved knowledge model to reconcile information currently stored in one system with information imported from a plurality of diverse systems, in order to generate recommendations that promote continuity of care in clinical settings.

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.

The invention provides a loan or loan processing platform based on a block chain. The platform comprises a block chain entering system comprising a smart contract execution environment (CEE). The blockchain entry system is configured to: (1) automatically process loan data from a loan initiation system (LOS) to virtually execute one or more loan contracts within a CEE, and the loan data including a plurality of loan-related facts; (2) encrypting the loan-related facts to generate a plurality of encrypted facts associated with the one or more loan assets; and (3) generate a plurality of hashes for the cryptographic facts. The hashes are recorded on the blockchain, and a combination of each encryption fact and its respective hash is stored in an encryption object store (EOS) separate from the blockchain. The platform also includes a digital asset registration tool (DART) to track control, transfer, transfer, and / or ownership of the controllable electronic records substantially in real time.

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.