46 results about "Consultation process" patented technology

The invention provides a multi-agent cooperative processing system and method for multi-scene legal complaint consultation, and relates to the technical field of artificial intelligence, and the method comprises the steps: receiving a legal or complaint consultation text inputted by a user, and generating structured consultation request data; automatically generating an evidence obtaining template, and forming a standardized evidence obtaining data packet; constructing a demonstration tree and outputting a multi-scheme decision matrix; performing multi-objective optimization by combining the success rate, the timeliness, the cost and the regional qualification index, and outputting a comprehensive recommendation result; generating a knowledge unit set, and updating a regulation index and agent prompt template library; predicting a re-complaint risk and generating a remedy and optimization suggestion; and outputting review result data, and reversely updating the review result data to the agent configuration strategy in the step of the knowledge construction module. According to the method and the device, the technical targets of multi-agent cooperative processing and dynamic optimization management in the whole legal complaint consultation process can be realized, and the technical effects of improving consultation processing efficiency, enhancing scheme recommendation accuracy, reducing manual participation cost and ensuring data compliance and risk controllability are achieved.

The invention discloses a multidisciplinary fusion consultation method based on a knowledge graph, and relates to the field of fusion consultation, and the method comprises the steps: receiving medical record information and medical resource information of a patient; a patient knowledge graph is constructed, and multiple consultation doctors are matched based on the patient knowledge graph; creating a multidisciplinary consultation conference, and sharing patient medical record information in real time; collecting diagnosis and treatment opinions of all consultation doctors; and generating a target diagnosis and treatment scheme. According to the application, the problems of difficulty in time coordination and inconvenience in doctor-patient convergence in a multidisciplinary fusion consultation process can be effectively solved.

The invention relates to the technical field of collaborative management, in particular to a business collaboration method based on a process engine, which comprises the following steps: acquiring approval process nodes and post fields, establishing node parameter mapping, extracting customer reconciliation process field paths, generating a field coverage set, analyzing contract archiving responsibility actions, and constructing a responsibility sequence link. And matching a financial reimbursement process cooperation path, correcting an offset node to generate a cooperation task flow, calculating an internal instruction process node priority, and generating a task triggering list. According to the method, the node fields and the role identifiers in the approval process are obtained, the field consistency mapping relation is constructed, and a field continuous path screening mechanism is combined, so that the penetrating power and the tracing accuracy of parameters among cross-process nodes are improved, and the sequence of node responsibilities has a verifiable logic chain; through a node offset detection and path connectivity construction mode, accurate task execution sequence control is provided in multi-source task scheduling.

The invention discloses an inquiry session information processing method and device and electronic equipment, and relates to the field of artificial intelligence. The method comprises the following steps: extracting user attribute information and summary description information of a user inquiry process from inquiry session information; searching a historical case thinking chain of which the similarity with the inquiry session information is greater than a first threshold value; retrieving N tuples in a knowledge graph, wherein the similarity between the N tuples and the inquiry session information is greater than a second threshold value; splicing the retrieved historical case thinking chain, the N tuple, the user attribute information and the summary description information into a target thinking chain; and generating reply information of the inquiry session information according to the target thinking chain. The technical problem of low accuracy of the processing result of the inquiry session information caused by insufficient utilization of historical information when the inquiry session information is processed in the prior art is solved.

The invention provides an information technology consultation process management system based on the Internet, and relates to the technical field of information technology management. A client interaction port of the system collects consultation texts and operation events in real time to generate a behavior track data set; the semantic path tracking module analyzes the data set to construct a demand evolution diagram; the path response arrangement module generates a service sequence according to the demand evolution diagram and binds consultant resources; the service recording module monitors data such as satisfaction and time delay to trigger path optimization, analyzes the weight of an efficiency attenuation point reconstruction demand evolution diagram and inputs the weight into the information pushing module during path optimization; and the information pushing module actively pushes a solution entry according to the information. The problems that dynamic changes of client intentions are difficult to accurately capture and the service process cannot be optimized in real time are solved, the intelligent level and the execution efficiency of the consultation process are improved, the experience feeling and the satisfaction degree of clients are improved, and meanwhile the utilization efficiency of consultation resources is improved.

The invention discloses a doctor inquiry training system based on a generative AI technology, which comprises a medical document database and a processing unit in information interaction with the medical document database, the voice input module, the voice output module, the training module, the federation module, the vector database, the embedding module, the inspection module and the evaluation module are in information interaction with the processing unit. The system has the advantages that a real inquiry scene can be dynamically simulated to provide efficient and accurate inquiry ability training and evaluation support, and the problems that an existing inquiry training system is difficult to simulate real patient communication, the inquiry process cannot be deeply evaluated and continuously improved, a cross-hospital cooperative training mechanism is lacked, and the training effect is poor can be solved.

The invention provides a psychological counseling auxiliary system. The system comprises a psychological analysis module, a psychological counseling resource library, a recommendation module and an interactive interface module, the psychoanalysis module is used for receiving voice data and image data of the user in multiple rounds of dialogues and analyzing keywords in the voice data and the image data and an emotional state of the user; the psychological counseling resource library is used for storing psychological counseling resources; the recommendation module is used for providing psychological consultation suggestions and resource recommendation for the user according to historical data, keywords and emotional states of the user; and the interactive interface module is used for displaying the recommended psychological counseling suggestions and resource recommendation. Based on the natural language processing technology and the emotion recognition technology, the method can improve the insight in the psychological state of the user in the consulting process, provides accurate psychological assessment in combination with voice, text and expression analysis, solves the limitation of the existing traditional consulting tool, improves the professional property of psychological consulting, and improves the consulting efficiency. And the working efficiency is improved.

The invention provides an active inquiry method and system, electronic equipment and a storage medium, and relates to the technical field of medical inquiry, and the method can support multi-mode reply of a patient, provides a more comprehensive and flexible interaction mode for the patient, breaks through the limitation that a traditional inquiry system only depends on text interaction, and remarkably improves the inquiry efficiency. Through multiple rounds of interaction with the patient, the patient is actively guided to provide information, a personalized inquiry process can be realized, the inquiry time is greatly shortened, and the reception efficiency and the inquiry accuracy of the doctor are improved. Through the forms of charts, graphs, dynamic time axes and the like, in combination with an augmented reality technology, immersive disease condition display experience can be provided for patients and doctors of the doctor terminal, so that the patients can more intuitively know own disease conditions and inquiry progress, the sense of participation and trust of the patients to the medical process are enhanced, and the medical treatment efficiency is improved. And the doctor can understand the condition of the patient more quickly and accurately, so that the probability of misdiagnosis and missed diagnosis is reduced.

This invention discloses a precise legal consultation method and system based on multi-agent orchestration. The method includes: employing a hybrid intent classification mechanism with three levels of linkage—LLM remote reasoning, local heuristic correction, and keyword fallback—to route user requests to different paths, driving differentiated processing flows; performing dual-path retrieval of vector retrieval and knowledge graph relationship expansion in deep analysis to generate a structured analysis report; introducing a multi-dimensional context compression algorithm to reduce token overhead and illusion risk; embedding a three-stage emotional reassurance mechanism throughout the entire response process; and using a rendering type protocol to achieve front-end / back-end decoupling and unified rendering across multiple platforms, decomposing the processing into continuous dynamic feedback through a staged streaming response mechanism. This invention achieves intelligent, precise, and emotionally engaging legal consultation processes through multi-agent orchestration, significantly reducing model reasoning costs and improving the handling capacity for complex cases and user interaction experience.

The invention is suitable for the technical field of data processing, and provides a user guiding method and system based on a daytime operation, and the method comprises the steps: firstly obtaining the average moving speed information, the current position information, the department position information and the department waiting list information of a to-be-guided patient, and then carrying out the guiding of the to-be-guided patient based on the current position information; the method comprises the steps of generating predicted arrival time information, effectively determining target node information according to the predicted arrival time information and department waiting list information, finally updating the department waiting list information, and sending the target node information to a specified terminal of a patient to be guided at the same time. According to the method, the most suitable department can be automatically allocated to the to-be-guided patient, the waiting queue of each department can be adjusted in real time, the maximization of the medical resource utilization rate is ensured, the preoperative propaganda and education workload is greatly reduced, the process error rate is reduced, the burden of medical staff is effectively reduced, the patient consultation process can be reduced, and the patient consultation efficiency is improved. And the residence time of the patient in the hospital is shortened.

The invention discloses a building consultation system based on a cloud platform, and relates to the technical field of building consultation. The system comprises a user terminal, a cloud platform server and a consultation service terminal. The user terminal is used for submitting consultation demand information, querying progress and receiving a result; the cloud platform server comprises a data storage module, a demand analysis module, a service matching module, a progress tracking module, a result feedback module and the like, intelligent analysis of consultation demands, accurate matching of service personnel, real-time monitoring of a consultation process and result compliance auditing can be realized, and meanwhile, a building industry knowledge base and historical case data are stored; the consultation service terminal is used for service personnel to receive requirements, upload progress, submit results and look up a knowledge base and historical cases. The system can expand functions of user evaluation, automatic data updating, multi-terminal cooperation, risk early warning and the like, improves consultation service quality and industry cooperation efficiency, and is suitable for consultation scenes of various building projects.

The invention provides a psychological counseling system and method based on artificial intelligence, and relates to the field of intelligent psychology, comprising session node management, trust state management, observation management, antagonistic narrative management, self-organizing treatment, and asymmetric override and permission and auditing combined scale block cooperative operation. The traceability and credible management of the whole psychological consultation process are realized; the system generates an auditable session node and gives a trust state identifier at the end of each session, and a qualified observation chain is formed through user clear interaction to trigger trust judgment; the antagonistic narrative module generates an anti-narrative according to an ethical rule and collects a user structured response as a trust evidence; the self-organizing treatment module automatically executes node classification and opens artificial recheck when a critical condition is met; the override and permission module introduces an independent override to examine the trust and ethical compliance of the promotion node; the auditing module writes all events into a non-tampering account book and triggers responsibility tracing when a rule is violated; temporary intervention can be executed through multi-party rechecking in an emergency situation so as to guarantee the safety of a user.

The invention discloses a technology consultation risk assessment method and system based on the Internet, and relates to the technical field of data protection, an enterprise data pool is determined, and the connection relation between the enterprise data pool and an enterprise terminal and the connection relation between the enterprise data pool and a technology consultation platform are established; consultation data is sent to a technology consultation platform through an enterprise terminal, the technology consultation platform gives suggestion data according to the consultation data, and the consultation data and the corresponding suggestion data are stored in an enterprise data pool; a tracking set is set corresponding to the enterprise data pool, the access information of the enterprise data pool is counted, the access information comprises the processed result of the access data, the result comprises removal and destruction and normal access, and the risk assessment index of the technical consultation is obtained. According to the system and the method, the storage security of related data of the enterprise can be ensured, and meanwhile, the network security risk faced by the enterprise in the technology consultation process can be known.

The invention discloses a network information consultation platform and communication method based on a zero-trust architecture, and relates to the technical field of digital platform communication, and the method comprises the following steps: carrying out the identity authentication of a user; when the identity authentication is passed, obtaining user data; inputting the user data into a trust evaluation model, and outputting a comprehensive trust degree; obtaining an access permission according to the comprehensive credibility; monitoring the consultation behavior of the user in real time, and calculating the real-time credibility; and managing the access authority according to the real-time credibility. According to the invention, the user data of the user whose identity authentication is successful is acquired, the comprehensive credibility of the user is calculated according to the user data to quantify the credit rating of the user, the user is monitored in the whole course in the user consultation process, and the user access authority is managed in combination with the user credit rating and real-time monitoring, so that the security of the platform is improved.

The present invention discloses a method for detecting depression based on voice features, which records the audio information during the process of a subject answering depression diagnosis questions and stores it in a cloud library, then extracts the key features in the audio, and detects depression through a trained model. The present invention can help patients detect depression independently, relieve the medical treatment pressure of hospitals, speed up the complex consultation process, and at the same time can build a dataset of depression to provide help for depression research.

The invention discloses an online inquiry processing method and device, electronic equipment and a computer readable medium, and relates to the technical field of online medical treatment, and the method comprises the steps: responding to a triggering operation of a user for an online consulting room control, and obtaining historical symptom consultation data of the user in an online consulting room within a preset time; in response to the situation that the historical symptom consultation data is not empty, generating a guide copywriting according to the historical symptom consultation data, and pushing the guide copywriting to the user side; receiving reply data for the guide copywriting returned by the user side, and performing triage according to the historical symptom consultation data and the reply data to determine a specialized large model; and under the condition that the preliminary diagnosis process is executed, the specialized large model carries out inquiry interaction with the user side based on a preset inquiry question, obtains answer data returned by the user side, generates a diagnosis and treatment suggestion based on the obtained archive data, chief complaint data and the answer data, and pushes the diagnosis and treatment suggestion to the user side. And the flexibility of an online inquiry process and the accuracy of online inquiry processing are improved.

The invention provides an artificial intelligence evaluation method and system for patient data and application, and relates to the technical field of data processing. The method comprises the following steps: acquiring doctor-seeing waiting information of a patient user, and intelligently matching question information according to estimated doctor-seeing time; according to the question information, collecting response information provided by the patient; performing data evaluation on the response information based on an artificial intelligence technology to generate a pre-diagnosis evaluation report; the pre-diagnosis evaluation report is sent to a doctor user to be diagnosed, so that the doctor user can make corresponding medical examination items and / or medication prescriptions for the patient user. According to the invention, related information related to the condition of the patient can be acquired in advance by using the waiting time of the patient, so that the interrogation process and the interrogation time of the doctor are saved, and the interrogation efficiency of the hospital doctor is improved.

The application discloses a network information consultation platform and communication method based on a zero-trust architecture, and relates to the technical field of digital platform communication.The method comprises the following steps: authenticating the identity of a user; when the identity authentication is passed, obtaining user data; inputting the user data into a trust evaluation model to output a comprehensive trust degree; obtaining access rights according to the comprehensive trust degree; monitoring the consultation behavior of the user in real time to calculate a real-time trust degree; and managing the access rights according to the real-time trust degree.The application obtains the user data of the user whose identity authentication is successful, calculates the comprehensive trust degree of the user according to the user data to quantify the credit level of the user, monitors the user throughout the consultation process, manages the access rights of the user in combination with the credit level of the user and the real-time monitoring, and improves the security of the platform.

The invention discloses a multidisciplinary consultation system and a multidisciplinary consultation method based on a hybrid chain architecture and dynamic authority control, and relates to the technical field of medical informatization. Comprising a private chain node group deployed in a medical institution, an alliance chain jointly maintained by a plurality of medical institution nodes, and a cross-chain interaction relay connected with the private chain node group and the alliance chain; the private chain node group comprises a verification committee node formed by a plurality of preset key service nodes; a dynamic authority management module; the intelligent contract execution module is deployed with a state machine contract used for defining a consultation process; a key operation list and a corresponding state conversion condition are predefined in the state machine contract; and when execution of the state machine contract triggers any operation in the key operation list, calling a verification committee node to execute threshold signature verification, and taking a verification result as a precondition for corresponding state conversion of the state machine contract. And the cross-mechanism cooperation efficiency and reliability are improved.

The present invention provides a urology specialist consultation method and device based on LLM context embedding assistance, comprising: step S1, collecting and structuring urology specialist consultation information; step S2, integrating through context information embedding to obtain structured task examples; step S3, correcting the recognized input information through context information embedding; step S4, determining whether it is necessary to upload an examination report; if so, guiding and waiting for the patient to upload the examination report, converting it into text input information and jumping to step S5; if not, jumping to step S6; step S5, generating structured examination report information corresponding to the examination report; step S6, scoring the achieved corrections and optimizing the assisted consultation process; step S7, integrating the corrected text information and generating a structured medical record. The present invention can effectively reduce resource consumption and deployment difficulty, providing a foundation for rapid iteration; it can support the integration of voice input and examination reports, and realize professional organization and correction.

This invention discloses a method and apparatus for generating customer service consultation summaries, relating to the field of computer technology. One specific embodiment of the method includes: decomposing the customer service consultation content into at least one consultation task; for each consultation task, determining the form data corresponding to the consultation task, and extracting features from the consultation task to obtain a consultation task vector; embedding the consultation task vector and the form data into a pre-trained graph model to obtain an embedded graph model, and extracting features from the embedded graph model to obtain a graph model embedding vector; obtaining the consultation question and key summary information based on the graph model embedding vector; and generating a customer service consultation summary based on the consultation question and the key summary information. This embodiment can automatically generate summaries based on multiple features involved in the customer service consultation process, resulting in objective, standardized, and highly efficient summary generation.

An intelligent medical consultation dialogue method, including: acquiring a medical consultation dialogue from a target user through an intelligent medical consultation dialogue interface; extracting disease feature information from the consultation dialogue; querying a medical decision-making database based on the disease feature information to obtain a suspected disease set; calculating a degree of suspicion corresponding to the suspected disease in the suspected disease set; screening for a target suspected disease from the suspected disease set based on the degree of suspicion; determining whether an unconfirmed disease factor exists in the suspected disease based on the disease feature information; and initiating a question generation task based on the unconfirmed disease factor, performing the question generation task using a large language model to obtain a question targeting the unconfirmed disease factor, and outputting the question is provided. The method provides a transparent and controllable consultation process, reducing risk of diagnostic errors.

The application provides a consultation result generation method and device and electronic equipment, and relates to the technical field of artificial intelligence. The method comprises the following steps: receiving current inquiry information input by a user; acquiring multi-round dialogue inquiry data of the user by a short-term memory network and / or a long-term memory network according to the current inquiry information; wherein the multi-round dialogue inquiry data comprises at least one of short-term inquiry information in a current dialogue and long-term inquiry results in a historical dialogue; obtaining a first consultation result by searching and enhancing generation technology according to the current inquiry information and the multi-round dialogue inquiry data; and generating a second consultation result by a generation model according to the current inquiry information, the multi-round dialogue inquiry data and the first consultation result. The application can solve the problem of poor accuracy of consultation results and inquiry efficiency in the existing traditional Chinese medicine consultation process.

The application discloses an information acquisition method and related equipment, comprising: acquiring a user input question text, and performing word segmentation on the question text to obtain at least one keyword; identifying the type of the question according to the keyword to obtain a question type; if the question type is personnel search, searching in a duty system and a document system according to the keyword, and returning a target object obtained by the search; if the question type is a technical question, searching in a question library and a document system according to the keyword, and returning a target answer obtained by the search; and if the question type is a personnel portrait, searching in a basic information system according to the keyword, and returning a target portrait obtained by the search. The whole consultation process is initiated by the user, and the robot determines the answer content by searching various information systems, so that the required information can be conveniently and efficiently provided for enterprise employees.

This application provides an intelligent health checkup consultation and health checkup plan recommendation method and system, relating to the fields of artificial intelligence and smart healthcare. The method includes: acquiring the user's health data; selecting disease risk assessment models from a preset model library and generating a model parameter pool; determining the model parameters for the current round of questions based on a preset dynamic queuing and scheduling algorithm, and generating consultation questions; acquiring the user's input data and classifying its intent; using a large language model to update the model parameter pool and execute the next round of question-and-answer processing based on the intent classification results and input data; after meeting the consultation termination conditions, outputting risk assessment results using the disease risk assessment model; acquiring the user's health checkup budget; and generating a recommended health checkup plan based on the risk assessment results, health data, and health checkup budget. This application can effectively ensure the smoothness of the health checkup consultation process, improve the consultation completion rate, optimize the online consultation user experience, and improve the accuracy of health checkup plan recommendations.

This invention belongs to the interdisciplinary field of artificial intelligence and psychology, and relates to a method and system for recommending psychological assessment scales based on multi-agent intelligence. The method includes: constructing a contextual state model using multi-dimensional information from the user during the consultation process; filtering scales according to the contextual state model to obtain candidate scales; calculating the fit between the candidate scales and the user's current psychological state, and setting the priority of the candidate scales; obtaining a recommendation score for the candidate scales based on the fit and priority; and determining the optimal scale based on the recommendation score. The system includes a contextual state management module, a dynamic scale recommendation module, a scale execution and scoring module, a risk detection and intervention module, and an auditing and logging module. This invention can intelligently recommend psychological assessment scales based on the user's state and actual needs, while emphasizing security and traceability, and is applicable to psychological health assessment and consultation in various scenarios.

The application discloses a power network security intelligent consultation system based on a generative large model, and relates to the technical field of network security consultation systems, comprising: a consultation question and answer function module, including a technical consultation unit, an attack and defense research and judgment unit and a protection treatment suggestion unit; a generative large model discovers statistical relationships and patterns in text data based on deep learning methods and large-scale corpus training, and learns to generate new data samples to establish a network security knowledge base during the training process, which provides data support for the technical consultation unit, the attack and defense research and judgment unit and the protection treatment suggestion unit. The entire question and answer consultation process of the system relies on advanced deep learning models and algorithms in the generative large model, ensuring that the system can automatically and accurately answer various network security field questions raised by users and provide timely and professional consultation services.

The invention relates to the technical field of cost consultation, in particular to a cost consultation communication interaction system, which comprises an interaction access module used for receiving and structuring a user consultation request; the consultation engine module is used for analyzing request semantics and generating a retrieval instruction; the knowledge base module is used for storing and providing project data, market prices, specifications and case knowledge; the collaborative management module is used for creating and managing a traceable collaborative work order according to the consultation request; the output support module is used for automatically generating a report and recording an audit log; according to the method, intelligent analysis of the consultation request, structured knowledge matching and collaborative process management are organically integrated, so that the whole process of the consultation process is online, standardized and traceable, the problems of information fragmentation and difficulty in experience precipitation in traditional services are effectively solved, and the efficiency, accuracy and knowledge reuse level of cost consultation are improved.

The present invention provides a large-model-driven production portal information recommendation method and system, relating to the field of data processing technology. The method comprises: obtaining a user's current consultation data; performing word segmentation processing on the current consultation data; constructing a word embedding vector sequence; analyzing the user's current consultation intention using a large-model based on multi-layer stacked gated recurrent units; determining, based on the current consultation intention, multiple production portal information matching the current consultation data using a multi-layer perceptron; obtaining a consultation intention summary formed by the user during historical consultations, the consultation intention summary including multiple typical consultation intentions of the user during historical consultations; updating the user's consultation intention summary based on the similarity between the current consultation intention and each typical consultation intention in the consultation intention summary; sorting multiple successfully matched production portal information based on the updated consultation intention summary; and recommending the sorted multiple production portal information to the user.

The present invention discloses a privacy protection method and system for medical consultation scenarios, relating to the field of artificial intelligence technology. The method includes the following steps: training multiple doctor models based on a large language model, including several remote doctor models and a chief physician model; recording the consultation text and adaptively compressing it to obtain a compressed consultation text; segmenting the compressed consultation text into several non-overlapping partial texts, which are transmitted separately to several remote doctor models to obtain several diagnosis results; and concatenating the several diagnosis results to form a joint vector, which is input into the chief physician model to obtain the final consultation result. By adaptively compressing the user's consultation text and segmenting the consultation data into multiple independent modules, the present invention ensures that the remote doctor model during the consultation process cannot obtain all data, thereby achieving privacy protection in medical consultation scenarios while also ensuring the accuracy of the medical consultation.