CN-121999987-A - Mental health service system, mental health service method, electronic equipment and storage medium

CN121999987ACN 121999987 ACN121999987 ACN 121999987ACN-121999987-A

Abstract

The invention discloses a mental health service system, a mental health service method, electronic equipment and a storage medium, which relate to the technical field of artificial intelligence and health intersection. And the emotion analysis module processes the emotion-related multi-modal data provided by the target user by using the trained multi-modal large model to generate an emotion analysis result. The intelligent pre-inquiry module performs multiple rounds of conversations with the target user based on natural language understanding technology, collects information related to mental health of the target user and generates a questionnaire. The analysis report generation module performs joint reasoning on the information collected by the intelligent pre-consultation module and the response information of the target user to the questionnaire to generate an analysis report. According to the invention, objective emotion analysis is provided through the emotion analysis module, the intelligent pre-consultation module is used for realizing standardized information acquisition, and the analysis report generation module is used for carrying out combined reasoning to generate a scientific report, so that the service accessibility and efficiency are improved.

Inventors

GONG MENGCHUN
Lv Maoxin
CHEN YICHAO
FAN JUNKANG
FU TAOTAO

Assignees

神州医疗科技股份有限公司

Dates

Publication Date: 20260508
Application Date: 20251229

Claims (10)

1. The mental health service system is characterized by comprising an emotion analysis module, an intelligent pre-consultation module and an analysis report generation module; The emotion analysis module is used for processing emotion-related multi-modal data provided by a target user by utilizing the trained multi-modal large model to generate an emotion analysis result; The intelligent pre-consultation module is used for carrying out multi-round dialogue with the target user based on natural language understanding technology, collecting and generating questionnaires according to information related to mental health of the target user; The analysis report generation module is used for carrying out joint reasoning on the information collected by the intelligent pre-consultation module and the response information of the target user to the questionnaire to generate an analysis report.
2. The mental health service system according to claim 1, further comprising a personalized recommendation module, wherein the personalized recommendation module is used for automatically generating personalized announced content and recommending to a target user according to mental health conditions, crowd attributes and service phases of the target user.
3. The mental health service system according to claim 1, further comprising a risk identification module, wherein the risk identification module is used for identifying information collected by the intelligent pre-consultation module in real time and triggering a quick response mechanism when a high-risk signal is identified.
4. A mental health service system according to any of claims 1 to 3, wherein the mental health related information of the target user includes descriptive contents, duration of experience, emotional state, historical health information, and medication situation of the target user.
5. A mental health service method, comprising: processing the multi-modal data related to the emotion provided by the target user by using the trained multi-modal large model to generate an emotion analysis result; Carrying out multi-round dialogue with a target user based on a natural language understanding technology, collecting and generating a questionnaire according to information related to mental health of the target user; And carrying out joint reasoning on the collected information related to the mental health of the target user and the response information of the target user to the questionnaire to generate an analysis report.
6. The mental health service method according to claim 5, further comprising automatically generating personalized announce contents and recommending to the target user according to mental health conditions, crowd attributes and service phases of the target user.
7. The mental health service method according to claim 5, further comprising identifying information collected by the intelligent pre-consultation module in real time and triggering a quick response mechanism when a high risk signal is identified.
8. The mental health service method according to any one of claims 5 to 7, wherein the mental health related information of the target user includes descriptive contents, experience duration, emotional state, history health information, and medication situation of the target user.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the mental health service method according to any of claims 5 to 8 when the computer program is executed.
10. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the mental health service method according to any of claims 5 to 8.

Description

Mental health service system, mental health service method, electronic equipment and storage medium Technical Field The invention relates to the technical field of artificial intelligence and health intersection, in particular to a mental health service system, a mental health service method, electronic equipment and a storage medium. Background Investigation data of the world health organization shows that about 10 hundred million people worldwide suffer from mental disorders, and mental problems have become one of the main causes of disability. Moreover, the lifetime prevalence of mental disorders reaches 16.57%, and it is expected that about 1.8 million people may be affected by a certain mental disorder throughout life, with the degree of affected being particularly pronounced in teenagers, job-site groups, and the elderly. The current mental health service field faces multiple technical challenges, strong subjectivity exists in the clinical diagnosis process, the standardization degree is urgently improved, service accessibility is poor due to unbalanced medical resource distribution, early recognition mechanisms are not perfect, and timely treatment of patients is hindered by social bias and other factors. In the prior art, solutions to mental health services mainly include traditional face-to-face diagnosis and treatment modes and single modality based digitizing tools. Some systems employ a simple question-answer dialogue robot for preliminary screening, and others evaluate user status through voice analysis or text emotion analysis. The technical means expands the coverage range of the service to a certain extent and provides basic support for partial users. However, these prior art solutions have significant limitations. The traditional diagnosis and treatment mode is seriously dependent on subjective experience of professionals, standardized evaluation is difficult to achieve, complex states of users cannot be comprehensively captured through single-mode data analysis, accuracy of evaluation results is limited, and the traditional digital chemical industry is lack of multi-dimensional information fusion analysis capability, so that mental health conditions of the users cannot be comprehensively evaluated. Meanwhile, these systems often lack real-time risk identification and quick response capabilities, and are difficult to provide timely and effective support for high-risk users. In view of the technical problems and urgent needs of mental health services, a novel technical scheme capable of integrating multi-modal data, realizing intelligent evaluation and providing timely intervention is urgently needed. The scheme can overcome the defects of the prior art, improves the quality and efficiency of mental health service through an advanced artificial intelligence technology, and provides more accurate and convenient professional support for different people. Disclosure of Invention The invention aims to solve the technical problem of overcoming the defects of the prior art, and particularly provides a mental health service system, a mental health service method, electronic equipment and a storage medium, wherein the mental health service system comprises the following steps: 1) In a first aspect, the present invention provides a mental health service system, which has the following specific technical scheme: The system comprises an emotion analysis module, an intelligent pre-consultation module and an analysis report generation module; the emotion analysis module is used for processing emotion-related multi-modal data provided by a target user by utilizing the trained multi-modal large model to generate an emotion analysis result; the intelligent pre-inquiry module is used for carrying out multi-round dialogue with the target user based on natural language understanding technology, collecting and generating a questionnaire according to information related to mental health of the target user; The analysis report generation module is used for carrying out joint reasoning on the information collected by the intelligent pre-consultation module and the response information of the target user to the questionnaire to generate an analysis report. The mental health service system provided by the invention has the beneficial effects that: The emotion analysis module processes the emotion-related multi-modal data by using the trained multi-modal large model, so that an emotion analysis result can be comprehensively and objectively generated, and the subjectivity limitation of the traditional diagnosis method is effectively overcome. The intelligent pre-consultation module carries out multi-round dialogue with the target user based on the natural language understanding technology, systematically collects mental health related information and dynamically generates questionnaires, and remarkably improves the standardization degree and the integrity of information collection. The analysis report generation modul