14results about How to "Improve consultation efficiency" patented technology

An interactive depression preliminary screening method based on a large language model comprises the steps that data collection and preprocessing are conducted, a divided data set is used for conducting model fine adjustment on an open-source pre-trained Chinese large model, and the large language model is obtained; performing topic control in a dialogue process by using a finite-state machine, and performing topic classification and severity judgment on user answers by calling a large language model; dialogue content of a user is received and converted into a text to be transmitted back to a server side, a finite-state machine judges and gives a score according to topic classification and severity of a large language model, the next action is judged based on the score, a next question returned to the client side is obtained, and meanwhile, the large language model is called to perform psychological comfort for answer content of the user; after all the topics are inquired, the score of the user in each type of topics is calculated, and a test result is output. According to the application, the screening efficiency of the depression patients is improved.

The invention discloses an intelligent triage system for pediatric emergency pre-examination, and relates to the technical field of emergency pre-examination, body surface images of child patients are collected through a visual monitoring module, invasive operation on the patients is not needed, and unnecessary pain is avoided; the image recognition module and the first intelligent evaluation module are used for performing wound detection and evaluation on the child patient, so that the medical personnel have enough time to treat the patient with more serious illness, medical resources are effectively balanced, comprehensive evaluation is further provided for the child patient through the data acquisition and processing module, potential health problems are effectively recognized, and the medical personnel experience is improved. And the AI diagnosis module combines the third evaluation result and the fourth evaluation result to carry out priority ranking on the child patients, and generates a personalized diagnosis scheme by using historical medical records and an intelligent technology, so that the night work pressure of pediatric emergency medical personnel is reduced, the child patients are processed more quickly, and medical resources are uniformly distributed.

The invention provides an intelligent inquiry method and device, electronic equipment and a storage medium, and the intelligent inquiry method comprises the steps: obtaining model mapping parameters according to user body feature data, mapping the model mapping parameters to a basic three-dimensional body model, and obtaining a user three-dimensional model; binding the user disease model with the first user three-dimensional model to obtain a second three-dimensional model; extracting inquiry keywords of the user inquiry data to generate a doctor model; performing a first inquiry dialogue between the doctor model and the second three-dimensional model through the interactive interface, extracting a symptom description of the user according to the first inquiry dialogue through the language recognition model, and updating the second three-dimensional model to obtain a third three-dimensional model; and performing a second inquiry dialogue between the doctor model and the third three-dimensional model through the interactive interface, and performing inquiry processing according to the second inquiry dialogue through the language recognition model to obtain an inquiry result. The method has the beneficial effects that privacy leakage during inquiry of the user is avoided, and the inquiry efficiency is improved.

The application discloses a digital government project consultation system based on artificial intelligence, and belongs to the technical field of project consultation, which comprises a data acquisition module, a data processing module, a knowledge graph construction module and a project consultation model construction module.The data acquisition module is used for collecting multi-source heterogeneous project information related to historical government projects.The data processing module is used for processing the data collected by the data acquisition module to obtain standardized project files.The knowledge graph construction module is used for extracting triplets in the standardized project files to construct a project knowledge graph.The project consultation model construction module is used for training a deep learning model based on the constructed knowledge graph to obtain a project consultation model.The online project consultation module is used for consulting a project to be consulted, including project scoring, project risk analysis and project legal regulation consultation.The system is used to improve the consultation efficiency through intelligent analysis, and meanwhile, the credibility of the consultation reply is improved.

The present invention discloses an electronic medical record voice interaction device based on machine learning, including a voice input device, a client and a server, wherein the client is deployed with an electronic medical record system, and the server is deployed with a voice segmentation system, an input sampling system and a machine learning system; the voice input device collects voice information; the voice segmentation system converts the voice information into text information and processes the text information to generate an electronic medical record and then sends it to the electronic medical record system; the electronic medical record system displays the electronic medical record through the client and corrects the electronic medical record; the input sampling system collects the corrected electronic medical record and sends it to the voice segmentation system for processing and then provides it to the machine learning system for model training; the machine learning system provides an acoustic model, a language model and a writing model for the voice segmentation system. The present invention realizes accurate and efficient automatic generation of electronic medical records based on machine automatic learning, thereby improving the doctor's consultation efficiency and the accuracy of electronic medical records.

The invention relates to the technical field of internet medical treatment, and provides an information reply method, an information reply device, a computer storage medium and electronic equipment.The information reply method comprises the steps that inquiry information from an inquiry end is received, and a pre-configured inquiry mode is detected; the inquiry mode comprises an intelligent response mode and a manual response mode; responding to the inquiry mode as an intelligent response mode, and outputting reply information corresponding to the inquiry information through a trained inquiry reply model; and in response to the inquiry mode being a manual response mode, recommending target information to a reception end based on a pre-configured information recommendation strategy, so that the reception end determines reply information corresponding to the inquiry information based on the target information. In the scene that the same doctor faces a plurality of interrogation objects at the same moment, the doctor can conveniently and quickly provide the interrogation reply to each interrogation object, and the online interrogation efficiency is improved.

The present invention discloses a project management system and method, belonging to the technical field of project management, which includes a database and a consulting system; the database stores identification keywords, project-related information, staff-related information and customer-related information, the identification keywords are associated with the corresponding project-related information and staff-related information, and the database groups the staff-related information according to enterprise information; the consulting system includes an information receiving module, an identification module, a retrieval output module and a display processing module. The present invention has the advantages of being able to facilitate users to quickly query the information they need and obtain the contact information of the responsible staff, etc., effectively improving the consulting efficiency and reducing the possible effect of delaying the construction period.

The invention discloses a medical record deconstruction and recombination method and device, electronic equipment and a medium, the method and device are applied to the electronic equipment, and specifically, illness state information is obtained, the illness state information comprises at least one piece of symptom description information, and each piece of symptom description information comprises multiple levels of description content categories; performing deconstruction processing on the symptom description information to obtain standard symptom elements corresponding to the symptom description information; and recombining the standard symptom elements to obtain a standard medical record. Through the operation, the original illness state information can be converted into the standard medical record with a relatively fixed format, so that the reliability of remote transmission of the medical information is improved, a user can conveniently process the medical record, the diagnosis efficiency of a doctor and the working efficiency of the user of the medical record are remarkably improved, and the user experience is improved. Therefore, medical service institutions can better meet the surging social demands of the aging era.

The invention provides an online consultation intelligent interaction method and system, and relates to the technical field of online consultation interaction.The online consultation intelligent interaction method comprises the steps that consultation reservation data is obtained, consultation nodes are determined, consultation record information is packaged and stored in a segmented mode, a consultation storage data packet is obtained, and feature extraction and feature category labeling are carried out; classifying the consultation storage data packet, obtaining a stage consultation report and a comprehensive consultation report, carrying out fusion comparison, obtaining a report comparison result, carrying out node consultation data labeling on the current comprehensive consultation report, and generating a consultation data trend chart; calculating a patient consultation weight factor and a patient consultation dynamic variable factor, further calculating a patient consultation coefficient, performing consultation parameter adjustment on the patient according to the patient consultation coefficient, and obtaining patient consultation adjustment data. Intelligent interaction and management of online consultation are achieved, consultation efficiency and quality are improved, medical resource configuration is optimized, and patient experience is enhanced.

The utility model discloses a remote video structure supporting holder of an intelligent traditional Chinese medicine inquiry instrument, relates to the technical field of intelligent traditional Chinese medicine inquiry instruments, and aims to solve the problems that an existing general intelligent traditional Chinese medicine inquiry instrument is of a fixed structure and cannot be moved, some patients are inconvenient to move due to physical reasons, and the operation is inconvenient. The utility model discloses a remote inquiry instrument which solves the problems that when remote inquiry is carried out, a camera cannot clearly shoot a certain diseased position of the body of a patient, a doctor cannot carry out diagnosis according to the physical condition of the patient, effective interaction between the doctor and the patient can not be easily caused, and the inquiry efficiency is low, and comprises an inquiry instrument shell and a sliding block, the sliding block is arranged in a circular ring shape, one side of the sliding block is arranged in an open mode, and the inquiry instrument shell is installed at the upper end of the sliding block; the interrogation instrument further comprises a tray which is arranged at the bottom of the interrogation instrument shell and located at the upper end of the sliding block, and a limiting clamping block is arranged on one side of the bottom of the tray and clamped to the inner side of the sliding block in a sliding mode.

The invention discloses a medical consultation method and system, related equipment and a computer program product, and aims to collect and manage multi-modal information of a patient and improve the consultation efficiency. Through more than one configured AI intelligent agent, real-time multi-round dialogues with consultation doctors can be carried out. By means of an artificial intelligence algorithm, man-machine multi-round dialogues are achieved, multi-modal information of a patient is understood, and targeted suggestions are given. The diagnosis accuracy is improved, and the working efficiency of doctors is also improved. In addition, the method can also record and manage the consultation process, for the consultation report filling process after the consultation is finished, an operation object can be supported to quote the opinions of each AI agent in each round of dialogue process in the consultation period, the doctor does not need to memorize in detail or repeatedly switch pages to check, and the consultation report writing efficiency is improved.

The invention discloses an intelligent management method and system for medical and health data, and relates to the technical field of medical data management, and the method comprises the steps: obtaining the medical and health data correspondingly collected by each medical object, marking the part of medical and health data with the discrete degree not meeting the clustering expectation after the outcluster clustering analysis, and obtaining the part of medical and health data; the method comprises the following steps: acquiring part of medical and health data, taking the part of medical and health data as abnormal data, when abnormal data is monitored in a medical object, generating an early warning prompt, sending the early warning prompt to a data operation and maintenance worker corresponding to the corresponding medical object, and starting data correction processing on the abnormal data by the data operation and maintenance worker. The method comprises the following steps: extracting information features of all medical and health data of each medical object to construct a corresponding medical data graph, and performing periodic information maintenance on the medical and health data through the medical data graph; and according to the medical data atlas, generating inquiry auxiliary reference information of the current doctor seeing patient and pushing the inquiry auxiliary reference information.

The present invention discloses a method and system for assisting diagnosis of mental illness based on a multimodal data analysis model. First, facial expression data, voice data and text data of users when they are interviewed are collected and preprocessed; then multimodal features are extracted, including features of facial expression data, voice data and text data after preprocessing; finally, the multimodal features are input into the multimodal data analysis model, and the classification results are output; the present invention designs a collection method that can simultaneously collect heterogeneous multimodal data of text, voice and facial expression of users in the multi-stage experimental process of "watching movies, reading poems and consulting with digital doctors"; heterogeneous multimodal data post-processing and heterogeneous multimodal mental illness analysis models are designed to assist doctors in intelligent diagnosis and improve the efficiency of doctors' consultation. The present invention develops an integrated system based on multimodal data collection and analysis, realizes intelligent auxiliary diagnosis of patients with common mental illnesses, and saves labor costs.