40 results about "Documentation system" patented technology

The invention relates to the technical field of computer programming languages, and particularly discloses a computer language programming method based on business logic. Aiming at the defects of deep coupling of business logic and technology implementation, high cross-domain adaptation cost, hardware operation code redundancy, high asynchronous programming complexity and the like in the prior art, the invention provides the following core schemes: a modularized development framework, a cross-platform adaptive mechanism, an event hierarchical model, a hardware intention analysis engine and a code, namely a document system. According to the method, the development complexity of a multi-field system is remarkably reduced, the business logic expression efficiency and maintainability are improved, the method is suitable for cloud micro-services, embedded equipment and mixed language scenes, and a technical basis is provided for intelligent programming.

Embodiments described herein relate to systems and methods for automatically generating content, generating API requests and / or request bodies, structuring user-generated content, and / or generating structured content in collaboration platforms, such as documentation systems, issue tracking systems, project management platforms, and other platforms. The systems and methods described use a network architecture that includes a search and chat generative interfaces, which may be used to produce generative answers, identify relevant content, and take actions within a respective content collaboration platform.

Embodiments described herein relate to systems and methods for automatically generating content, generating API requests and / or request bodies, structuring user-generated content, and / or generating structured content in collaboration platforms, such as documentation systems, issue tracking systems, project management platforms, and other platforms. The systems and methods described use a network architecture that includes a prompt generation service and a set of one or more purpose-configured large language model instances (LLMs) and / or other trained classifiers or natural language processors used to provide generative responses for content collaboration platforms.

A vulnerability documentation system detects vulnerabilities having outdated or undocumented formatted descriptions for corresponding remediation actions. A web crawler crawls the Internet for configuration data for software / firmware affected by the detected vulnerabilities and descriptive content for the remediation actions. The vulnerability documentation system prompts and LLM with a prompt for each detected vulnerability comprising instructions to generate a formatted description for remediation actions using the crawled configuration data / descriptive content. The vulnerability documentation system then populates natural language descriptions of remediation actions from the formatted descriptions and pushes the natural language descriptions to affected devices.

Embodiments described herein relate to systems and methods for automatically generating content, generating API requests and / or request bodies, structuring user-generated content, and / or generating structured content in collaboration platforms, such as documentation systems, issue tracking systems, project management platforms, and other platforms. The systems and methods described use a network architecture that includes a prompt generation service and a set of one or more purpose-configured large language model instances (LLMs) and / or other trained classifiers or natural language processors used to provide generative responses for content collaboration platforms.

Embodiments described herein relate to systems and methods for automatically generating content, generating API requests and / or request bodies, structuring user-generated content, and / or generating structured content in collaboration platforms, such as documentation systems, issue tracking systems, project management platforms, and other platforms. The systems and methods described use a network architecture that includes a generative interface panel having multiple automated assistant services. Each assistant service may access a prompt generation service and a set of one or more purpose-configured large language model instances (LLMs) and / or other trained classifiers or natural language processors used to provide generative responses for content collaboration platforms.

Methods, systems, and computer-readable media for rapid event voice documentation are provided herein. The rapid event voice documentation system captures verbalized orders and actions and translates that unstructured voice data to structured, usable data for documentation. The voice data captured is tagged with metadata including the name and role of the speaker, a time stamp indicating a time the data was spoken, and a clinical concept identified in the data captured. The system automatically identifies orders (e.g., medications, labs and procedures, etc.), treatments, and assessments / findings that were verbalized during the rapid event to create structured data that is usable by a health information system and ready for documentation directly into an EHR. The system provides all of the captured data including orders, assessment documentation, vital signs and measurements, performed procedures, and treatments, and who performed each, available for viewing and interaction in real time.

Embodiments described herein relate to systems and methods for automatically generating content, generating API requests and / or request bodies, structuring user-generated content, and / or generating structured content in collaboration platforms, such as documentation systems, issue tracking systems, project management platforms, and other platforms. The systems and methods described use a network architecture that includes a prompt generation service and a set of one or more purpose-configured large language model instances (LLMs) and / or other trained classifiers or natural language processors used to provide generative responses for content collaboration platforms.

A method, computer program product, and computing system for automating a follow-up process is executed on a computing device and includes prompting a patient to provide encounter information via a virtual assistant during a post-visit portion of a patient encounter. Encounter information is obtained from the patient in response to the prompting by the virtual assistant.

Embodiments described herein relate to systems and methods for automatically generating content, generating API requests and / or request bodies, structuring user-generated content, and / or generating structured content in collaboration platforms, such as documentation systems, issue tracking systems, project management platforms, and other platforms. The systems and methods described use a network architecture that includes a prompt generation service and a set of one or more purpose-configured large language model instances (LLMs) and / or other trained classifiers or natural language processors used to provide generative responses for content collaboration platforms.

Embodiments described herein relate to systems and methods for automatically generating content, generating API requests and / or request bodies, structuring user-generated content, and / or generating structured content in collaboration platforms, such as documentation systems, issue tracking systems, project management platforms, and other platforms. The systems and methods described use a network architecture that includes generative interface panel used to access a prompt generation service and a set of one or more purpose-configured large language model instances (LLMs) and / or other trained classifiers or natural language processors used to provide generative responses for content collaboration platforms.

The invention relates to a security feature for securing documents of value, the security feature being based on an ESR active material and a luminescent material, the ESR active material and the luminescent material being the same material or different materials, the luminescent material emitting in the infrared wavelength region, the ESR active material emitting in the infrared wavelength region, and the luminescent material emitting in the infrared wavelength region. The rare earth metal is based on a main lattice with a garnet structure or a perovskite structure, and the rare earth metal content is larger than or equal to 2.0%; -the ESR active material has an ESR active transition metal; -the ESR active material having a g value lt; 1.9 or gt; the present invention relates to an ESR signal of 1, 2,..., 2.1, based on a transition metal-containing host lattice having a garnet structure or a perovskite structure, having a transition metal content of an ESR-active transition metal of > = 5%, and comprising a rare earth metal, in the case of a garnet structure, the rare earth metal content being > = 2.0% and lt; under the condition of a perovskite structure, the content of the rare earth metal is greater than or equal to 2.0% and 1t; and 18.0% of the total weight.

System for digital workshop and remote diagnostics integration, characterized by the fact that vehicle data is captured in real time via standardized vehicle interfaces such as OBD2, API-based cloud access or vehicle-internal bus systems (SPI, CAN, Ethernet) and stored with a blockchain-based documentation and verification mechanism.

Embodiments described herein relate to systems and methods for automatically generating content, generating API requests and / or request bodies, structuring user-generated content, and / or generating structured content in collaboration platforms, such as documentation systems, issue tracking systems, project management platforms, and other platforms. The systems and methods described use a network architecture that includes a prompt generation service and a set of one or more purpose-configured large language model instances (LLMs) and / or other trained classifiers or natural language processors used to provide generative responses for content collaboration platforms.

A system for automated photo and / or video capture of pallets in a supply chain environment includes a photo / video capture tunnel with a frame structure. The system may include cameras mounted on the frame structure. At least one mobile device may be configured to capture metadata associated with pallets positioned within the photo / video capture tunnel. The mobile device may also transmit a signal to initiate photo and / or video capture. A cloud-based storage system may be configured to receive and store photos and / or videos and associated metadata from the cameras. Each of the cameras may be configured to receive the signal to initiate photo and / or video capture. The cameras may capture at least one photo and / or video of the pallets positioned within the photo / video capture tunnel. The cameras may transmit the at least one photo and / or video and the associated metadata to the cloud-based storage system.

Embodiments described herein relate to systems and methods for automatically generating content, generating API requests and / or request bodies, structuring user-generated content, and / or generating structured content in collaboration platforms, such as documentation systems, issue tracking systems, project management platforms, and other platforms. The systems and methods described use a network architecture that includes a prompt generation service and a set of one or more purpose-configured large language model instances (LLMs) and / or other trained classifiers or natural language processors used to provide generative responses for content collaboration platforms.

Embodiments described herein relate to systems and methods for automatically generating content, generating API requests and / or request bodies, structuring user-generated content, and / or generating structured content in collaboration platforms, such as documentation systems, issue tracking systems, project management platforms, and other platforms. The systems and methods described use a network architecture that includes generative interface panel used to access a prompt generation service and a set of one or more purpose-configured large language model instances (LLMs) and / or other trained classifiers or natural language processors used to provide generative responses for content collaboration platforms.

Certain aspects of the disclosure provide electronic medical record documentation systems and methods, in particular, systems and methods for adding notes to a patient's electronic medical record via an infusion system. Methods include receiving user input corresponding to a patient note and sending to the electronic medical record information for adding an entry to the electronic medical record, including the patient note.

An onboard documentation system for a lift device comprises a controller coupled to the lift device, the controller configured to receive documentation associated with the lift device, store the documentation locally on the lift device, receive a request for the documentation from a user, and provide the documentation stored locally on the lift device to the user in response to the request.

Embodiments described herein relate to systems and methods for automatically generating content, generating API requests and / or request bodies, structuring user-generated content, and / or generating structured content in collaboration platforms, such as documentation systems, issue tracking systems, project management platforms, and other platforms. The systems and methods described use a network architecture that includes a generative interface panel having multiple automated assistant services. Each assistant service may access a prompt generation service and a set of one or more purpose-configured large language model instances (LLMs) and / or other trained classifiers or natural language processors used to provide generative responses for content collaboration platforms.

Embodiments described herein relate to systems and methods for automatically generating content, generating API requests and / or request bodies, structuring user-generated content, and / or generating structured content in collaboration platforms, such as documentation systems, issue tracking systems, project management platforms, and other platforms. The systems and methods described use a network architecture that includes a prompt generation service and a set of one or more purpose-configured large language model instances (LLMs) and / or other trained classifiers or natural language processors used to provide generative responses for content collaboration platforms.

The present invention may include a software application used on a smartphone or other electronic device utilizing a camera and a processor. The software application may include the ability to identify a dent in a vehicle body, documenting the extent of the damage of that dent, and maintain photographic and analytical data of that specific dent throughout a repair process. The software application may also guide a user as to the status of the repair process, providing a quantitative value of the repair and instructing the user when the level of repair of that dent is acceptable. Each of a potential plurality of dents on the vehicle body may be individually documented and evaluated providing a report that may be uploaded to existing body shop software or sent directly to the vehicle owner or an insurance provider.

The invention relates to methods for evaluating an action-reaction scenario between a person and a vehicle output unit. The method comprises the following steps: generating at least one piece of information with the vehicle output unit as an action, wherein the information characterizes information about a functional state of at least one vehicle unit; capturing an output situation of the information with at least one capture unit; capturing the behavior of the person with at least one capture unit, at least in phases, during the output of the information as a reaction; and evaluating the perception of the information by the person, depending on the information captured about the information and the information captured about the person, with an evaluation unit.

Embodiments described herein relate to systems and methods for automatically generating content, generating API requests and / or request bodies, structuring user-generated content, and / or generating structured content in collaboration platforms, such as documentation systems, issue tracking systems, project management platforms, and other platforms. The systems and methods described use a network architecture that includes a prompt generation service and a set of one or more purpose-configured large language model instances (LLMs) and / or other trained classifiers or natural language processors used to provide generative responses for content collaboration platforms.

Offline-capable documentation system for the social pedagogical and social work sector, comprehensive a) a speech input unit that can be executed locally on a mobile or stationary device to convert spoken language into text without an Internet connection, b) a locally embedded AI module for automatic linguistic smoothing, neutralization and pseudonymization of the transcribed text, c) a rule-based assignment logic that automatically recognizes and assigns areas of life, measures, methods and objectives from the prepared text using predefined technical rules and keyword lists, d) a local storage unit for the encrypted storage of the processed and categorised documentation entries, (e) a user interface for entering the speech input, checking the processing results and outputting the final documentation.

The invention provides a hydrogen storage product document generation system and method, and belongs to the technical field of hydrogen storage equipment manufacturing and computer information processing. The system takes a locally deployed large language model as a core, and comprises a product type selection module, an initial parameter acquisition module, a parameter extraction module, a production standard knowledge base module, a knowledge base retrieval module, a template filling module, a user confirmation module, a document generation module and the like. During working, a user selects a product type and provides initial data, a system automatically extracts parameters, retrieves a standard knowledge base, generates coherent description and fills a template, and finally, the user confirms to generate a document. According to the hydrogen storage product document generation system and method, a plurality of functional modules are integrated, automatic and intelligent generation of the hydrogen storage product document is achieved, and the problems that traditional manual document writing is low in efficiency and prone to making mistakes, and compliance and consistency are difficult to guarantee are effectively solved.

Disclosed herein are devices, systems, and methods for performing automated veterinary documentation, the method including: receiving an audio input representing speech of at least one user; transcribing the audio input using at least one speech recognition model to generate a transcription; and generating a summary output of the transcripton using at least one large language model, the summary output categorized into structured categories. The structured categories can be based on a SOAP (Subjective, Objective, Assessment, Plan) format.

Proposed is an automated GUI documentation system. The system includes a GUI capture part configured to capture a graphic user interface (GUI) screen of application software, and a GUI documentation part configured to analyze source code on the captured GUI screen and automatically generate a GUI manual on the basis of a result of analysis.

A video documentation system includes a camera configured to capture video of an event and a processor receiving and responsive to event data generated by the camera. The system includes computer-readable media storing an artificial intelligence (AI) system configured to generate a record of critical activities occurring during the event. The computer-readable media also store processor-executable instructions for receiving, by the AI system, the event data representative of the event from the at least one camera, processing the received event data with the AI system to identify the one or more critical activities, and providing the record of the one or more critical activities occurring during the event as an output of the AI system.