50 results about "Documentation system" patented technology

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 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.

The present invention relates to a system and method for documenting medical procedures. The system can include an audio recording system and an image recording system. An actuator can be configured to actuate each of the audio recording system and the image recording system, wherein the audio recording system is configured to be actuated after the image recording system. A control system can be configured to receive input from each of the audio recording system and image recording system.

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.

A video processor configured to record images captured by an image sensor of a visualization device and including a processing circuit including volatile memory, non-volatile memory, and a controller; a housing; and a communication interface, wherein the controller is configured to: present with the display a frame selector and frames stored in the image buffer, update the image buffer with the frames, repeatedly receive a first user input responsive to movement the frame selector, cause the display to present at least some of the frames in response to receipt of the first user inputs, receive a second user input responsive to release of the frame selector, and store a retrospective video file in non-volatile memory, the retrospective video file beginning and ending with frames corresponding to the first and second user inputs.

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.

A video processor configured to record images captured by an image sensor of a visualization device and including a processing circuit including volatile memory, non-volatile memory, and a controller; a housing; and a communication interface, wherein the controller is configured to: present with the display a frame selector and frames stored in the image buffer, update the image buffer with the frames, repeatedly receive a first user input responsive to movement the frame selector, cause the display to present at least some of the frames in response to receipt of the first user inputs, receive a second user input responsive to release of the frame selector, and store a retrospective video file in non-volatile memory, the retrospective video file beginning and ending with frames corresponding to the first and second user inputs.

A computer implemented method for managing medical information includes displaying a number of user interface elements within a graphical user interface, receiving medical information for a patient in a first user interface element of the user interface elements, processing the medical information to identify one or more semantic items, the one or more semantic items including a first semantic item, processing a medical record for the patient according to first semantic item, the processing including identifying a number of medical information items related to the first semantic item, and presenting at least some medical information items of the number of medical information items in a second user interface element configured to display medical information items related to the first semantic item.

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 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.