CN107016457A - One kind realizes community's hazardous act pre-warning system and method - Google Patents
One kind realizes community's hazardous act pre-warning system and method Download PDFInfo
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Abstract
One kind realizes community's hazardous act pre-warning system, is related to field of public health, including application software system and shared data platform, and the application software system includes capture reporting modules and analysis and early warning module；Wherein, the capture reporting modules are used for information report personnel's report line rope information, and shared platform captures hint information automatically；The analysis and early warning module is used for medical practitioner or consultant or therapist carries out clue analysis, the state of an illness or mental health conditions assessment, hazardous act anticipation and Risk-warning, and the behavior model includes hazardous act model；Shared data platform to required and generation data, information and model during capture report, analysis and early warning software application for being concentrated, the storage of safety；The present invention proposes a kind of system and method that mental hygiene case report, clue identification and Risk-warning are realized with information technology.
Description
Technical Field
The invention relates to the field of public health, in particular to dangerous behavior early warning in the field of mental health, and particularly relates to a system and a method for realizing community dangerous behavior early warning.
Background
With the continuous increase of Chinese economy and the continuous improvement of urbanization level, the psychological health condition of residents increasingly becomes an important embodiment of the development condition of the national health care industry. The scheme of 'healthy Chinese 2030 plan outline' approved by the central political administration in 8 and 26 days 2016 indicates that the intervention on common mental disorders and psychobehavioral problems such as depression and anxiety needs to be strengthened, and the early discovery and timely intervention on the psychosocial problems of key groups are strengthened. And the report registration and treatment and rescue management of serious mental disorder patients are enhanced. Comprehensively promote the rehabilitation service of the mental disorder community. Improving the intervention ability and level of the psychological crisis of the emergency. By 2030, the level of common mental disorder control and psychobehavioral problem identification and intervention was significantly increased. "
The current "early discovery" for the field of mental hygiene lacks effective, scientific and systematic means. In a scientific method, problem identification and risk early warning are mainly carried out by means of a scale: medical staff uses a standardized test scale to collect information data of patients, and then carries out evaluation, diagnosis and subsequent intervention and treatment. In practice, the collection around the scale is currently performed by a professional, either manually at the patient's face-to-face interview, or electronically via a computer for data entry and further processing.
This traffic pattern has systematic drawbacks. The real clues and risk information belonging to (diseases or problems) are abnormal behaviors presented by residents or patients in daily life and work. The current business relies on scale information, primarily collected through face-to-face verbal communication between the specialist and the (potential) patient. Although the objectivity and the structuralization of the collected information are good, the monitoring object cannot be known and matched, so that the required collection range is difficult to cover. This model is actually more applicable to "treatment" than "discovery".
There are also scientific and flexibility issues with this model. On the one hand, it is difficult to describe complex mental health disorders, clues, behaviors and associations between them with a simple, static two-dimensional table; on the other hand, the scale is inconvenient to adjust once formed and put into use, and is not beneficial to frequent data acquisition, continuous comprehensive analysis and value mining application.
The system monitoring and early risk early warning of the mental health of residents are realized by means of informatization, and the system is a new demand for building healthy China in the times of Internet and big data. In the past, clinical research and basic research of mental diseases per se are relatively lagged, and health informatization per se is seriously segmented, so that informatization in the mental health field far forms a business closed loop support for prevention, discovery, diagnosis and treatment.
Disclosure of Invention
The invention aims to solve the problems and provides a system and a method for realizing mental health case report, clue identification and risk early warning by using an information technology.
A system for realizing community dangerous behavior early warning comprises an application software system and a shared data platform, wherein the application software system comprises a capturing report module and an analysis early warning module; the application software system is deployed in a mobile intelligent terminal or a desktop computer and used by different users, and the realized functions comprise clue reporting and sorting, risk early warning, model establishment and maintenance. The shared data platform is a supporting system of a background, and realizes centralized storage and collaborative sharing of key data; the acquisition reporting module is used for reporting clue information by information reporting personnel, the sharing platform automatically captures the clue information, information collating personnel collate the clue information, and the sharing platform reminds corresponding professionals of analysis early warning or treatment; the analysis early warning module is used for performing clue analysis, disease condition or mental health condition evaluation, dangerous behavior prejudgment and risk early warning by a professional doctor, a consultant or a therapist, and an information technician assists a mental health expert in establishing and perfecting a behavior model, wherein the behavior model comprises a dangerous behavior model; the shared data platform is used for carrying out centralized and safe storage on data, information and models required and generated in the process of capturing reports, analyzing and early warning software application so as to realize result storage, data sharing and process connection of a business link.
In a preferred embodiment of the present invention, the capturing report module comprises a clue information reporting unit and a clue information sorting unit; the clue information reporting unit is used for inputting clue information, the clue information is direct description of events or behaviors which may reveal abnormal mental conditions or tendencies of a monitored object, the clue information is structural description information of a clue or related words, audios and videos, pictures and link fragment information, and the pictures comprise screen shots; under some conditions, different clue information has logic correlation, and the operation on the clue information comprises establishment, content editing and modification, verification or authentication and deletion; the information input by the clue information arrangement unit comprises but is not limited to clue database information, work prompt information of information to be arranged, and past electronic medical records or health file information of residents obtained according to medical history.
Furthermore, the clue information reporting unit comprises manual structural clue information input, manual uploading of multimedia clue fragment information and automatic clue grabbing of a network community; the manual structural clue information input and/or the uploading of the multimedia clue fragment information at least comprises the identity identification of a monitored object, the occurrence environment of the monitored clue behavior, objective observation information and related additional data, and the identity identification information of an observer; the automatic clue grabbing triggers clue information uploading according to the rules of the automatic clue grabbing, and the content of the uploaded information is the same as or similar to the information of manual structural clue information input and/or multimedia clue fragments; the automatic clue grabbing rules comprise grabbing all new comments of a specific community, grabbing new comments of a specific monitoring object and triggering the appearing community keywords; manual structural clue information input, manual multimedia clue fragment information and automatic clues of a network community trigger the notification of information collating personnel through a data platform according to preset rules; and the clue information reporting unit is used for enabling the clue information to enter a database for centralized storage, unique identification and triggering short messages, mails or messages of information sorting operation.
Furthermore, in the clue information arrangement unit, information arrangement personnel complete verification, duplication removal, merging and association of the original clue information through manual confirmation and data comparison operation according to prompts; further, additional clue information mining processing is carried out, such as integration or association of electronic medical record information, normative and structured storage of clue information is achieved, professionals are informed to carry out subsequent professional analysis, and clue information verified by professional authentication can be written back to the personal health file; in the clue information arrangement unit, clue information bases before and after arrangement are stored separately, and clue information state identifiers are introduced; and obtaining a normative and structured thread information base through the thread information sorting unit, and sending short messages, mails or messages to the analysis and early warning module.
In another preferred embodiment of the present invention, the analysis and early warning module includes an analysis and early warning unit and a model management unit; the clue information input by the analysis and early warning unit comprises a clue information base behavior model base which is arranged and organized, an associated health archive database, clue information in a knowledge base and received prompt information; the clue information input by the model management unit comprises manually input model metadata such as perception, cognition, memory, emotion and will, behavior, language and semantic relevance between the model metadata.
Further, the analysis and early warning unit comprises: comprehensively inquiring and cross-referencing cable information, health files, electronic medical record information and other related information; carrying out qualitative and quantitative evaluation and reliability analysis on diseases, problems or obstacles of the monitored object according to the cable information, the health file, the electronic medical record information and other related information; performing association analysis on key communities, key objects, specific events or keywords by referring to the behavior model, and discovering or exploring motivations and reasons of dangerous behaviors; according to the decision tree, proposing a monitoring direction, an intervention scheme or a treatment scheme suggestion to the counterweight object; performing behavior prediction according to clues, case information and a behavior model, and giving out early warning according to a classification standard of community dangerous behaviors; the results output by the analysis early warning unit comprise diagnosis or evaluation conclusion, risk early warning information, treatment scheme suggestion and behavior intervention suggestion, and the output results are recorded into health records and notified to related personnel through an intelligent data platform.
Further, the model management unit includes: establishing a model, namely establishing a behavior model framework through manual input; model editing, namely adding, deleting or modifying the whole, middle branch or terminal each layer of the established behavior model; model evaluation, namely realizing manual evaluation and comprehensive evaluation of an expert on the model; model import, importing an external model by standardized or artificial assistance means; computer aided case learning to realize the credibility influence or correction of the case to the model; and adding a behavior model and revising and deleting the existing behavior model through the model management unit.
In another preferred embodiment of the present invention, the shared data platform comprises a database, a model library and a message middleware, wherein: the database is used for carrying out centralized, safe and continuous storage on data required and generated in the process of applying the system for realizing the community dangerous behavior early warning, and the database is used for storing community resident basic information, health file information and application data of registered professional practitioners, wherein the registered professional practitioners comprise psychiatrists, psychological consultants and psychological therapists so as to support the operation of system application software for realizing the community dangerous behavior early warning; the model base comprises behavior models, and the behavior models comprise meta-models and individualized behavior models of community dangerous behaviors; the meta-model of the community dangerous behaviors describes perception, cognition, memory, emotion, intention, behavior, language and community behavior related features of the general individuals and semantic association between the perception, cognition, memory, emotion, intention, behavior, language and community behavior related features of the general individuals; the individualized behavior model is an individualized data model generated according to the meta-model of the community dangerous behavior; the message middleware is a mature commercialized software product and is used for shielding differences between platforms and protocols and realizing reliable transmission or storage and forwarding of messages under any network conditions, the service cooperation of the system for realizing the community dangerous behavior early warning is completed through the message middleware, and the service cooperation comprises automatic reminding, information transmission and message distribution.
A method for realizing community dangerous behavior early warning is characterized by comprising the following steps: selecting and deploying a monitoring community; using a system for realizing early warning of dangerous behaviors of the community to report or capture clue information in the community; analyzing the received clue information based on a behavior model and carrying out dangerous behavior early warning by using a system for realizing community dangerous behavior early warning; performing targeted treatment and intervention according to the analysis result and the early warning information; further monitoring is carried out according to the requirement, and continuous spiral closed-loop management for early warning of dangerous behaviors is realized; the system for realizing the early warning of the dangerous behaviors in the community comprises a capturing report module, an analyzing early warning module and a shared data platform; the acquisition reporting module is used for reporting clue information by information reporting personnel, the sharing platform automatically captures the clue information, the information collating personnel collate the clue information, and the platform reminds corresponding professionals of analysis early warning or treatment; the analysis early warning module is used for performing clue analysis, disease condition or mental health condition evaluation, dangerous behavior prejudgment and risk early warning by a professional doctor, a consultant or a therapist, and an information technician assists a mental health expert in establishing and perfecting a behavior model, wherein the behavior model comprises a dangerous behavior model; the shared data platform is used for carrying out centralized and safe storage on data, information and models required and generated in the process of capturing reports, analyzing and early warning software application so as to realize result storage, data sharing and process connection of a business link.
Compared with the prior art, the method and the system for early warning of the community dangerous behaviors have the following technical effects:
1. the application software system is deployed in a mobile intelligent terminal or a desktop computer and used by different users, wherein the capturing and reporting module breaks through the limitations of single means, difficult form making and high professional requirements on operators in the traditional 'form' data acquisition mode, so that the obtained clue information is more comprehensive, close to reality and more flexible in mode, social participation is really realized, and meanwhile, the obtained information has higher quality and is more favorable for continuous comprehensive analysis and value mining application.
2. The automatic clue grabbing triggers the uploading of clue information according to the rules of the automatic clue grabbing, the rules of the automatic clue grabbing comprise the grabbing of all new speeches of a specific network community, the grabbing of the new speeches of a specific monitoring object and the uploading of information triggered by keywords in the community, and the method is an effective, scientific and systematic mode capable of realizing 'early discovery'. The thread information acquisition range covered by automatic thread grabbing is a 'blind area' of the traditional face-to-face communication acquisition mode, and can give an early warning to hidden dangerous behaviors in a network space.
3. When using the analysis early warning module, a professional can compare the collected related clue information by using a pre-established behavior model to perform professional judgment, so as to obtain a diagnosis or evaluation conclusion, give a treatment scheme or a behavior intervention suggestion, and send risk early warning information according to conditions. Compared with the diagnosis mode supported by the traditional tabular tool, the multidimensional behavior model is more scientific and more instructive, is favorable for reducing the working intensity of professionals, and can effectively reduce the influence of personal knowledge and experience difference on early warning work in the whole view. The key basis of this early warning approach is to have a properly defined and constantly modifiable and growing library of behavior models.
4. Model management personnel establish relevance models among behaviors, clues, mental diseases or problems and intervention measures by manually inputting model metadata, and establish individual models on the basis of the relevance models. The model library management function is the basis for ensuring that models are continuously available and continuously complete. The key to the management effect of the model is the authority of knowledge and the reasonability of the structure of the model.
The conception, the specific structure and the technical effects of the present invention will be further described with reference to the accompanying drawings to fully understand the objects, the features and the effects of the present invention.
Drawings
FIG. 1 is a schematic diagram of a system for implementing early warning of dangerous behavior in a community according to the present invention;
FIG. 2 is a flowchart illustrating a method for implementing early warning of dangerous behavior in a community according to a preferred embodiment of the present invention;
FIG. 3 is a schematic diagram of the thread information reporting unit of the capture reporting module according to a preferred embodiment of the present invention;
FIG. 4 is a schematic diagram of the clue information sorting unit of the capture report module according to a preferred embodiment of the present invention;
FIG. 5 is a schematic diagram of an analysis and pre-warning unit of the analysis and pre-warning module according to a preferred embodiment of the present invention;
FIG. 6 is a schematic diagram of a model management unit of the early warning module according to a preferred embodiment of the present invention.
Detailed Description
In order to make the present disclosure more complete and complete, reference is made to the accompanying drawings, in which like references indicate similar or analogous elements, and to the various embodiments of the invention described below. However, it will be understood by those of ordinary skill in the art that the examples provided below are not intended to limit the scope of the present invention.
The EHR in the EHR/EMR is the abbreviation of Electronic Health Record, and refers to an Electronic Health file; EMR is a shorthand for Electronic Medical Record, and refers to Electronic Medical records.
As shown in fig. 1, a system for implementing early warning of community dangerous behaviors includes an application software system and a shared data platform, where the application software system includes a capture report module and an analysis early warning module, which are described in sequence as follows:
A. capture report module
The acquisition report module comprises desktop application software and an intelligent terminal application program at the front end and is used for reporting clue information by information reporting personnel, the sharing platform automatically captures the clue information, the information collating personnel collates the clue information, and the sharing platform reminds corresponding professionals of analysis, early warning or treatment. As shown in fig. 1, the capture reporting module includes a clue information reporting unit and a clue information sorting unit.
(1) Clue information reporting unit
The clue information reporting unit is used for inputting clue information, the clue information is the direct description of events or behaviors which may reveal the abnormal mental condition or tendency of the monitored object, the clue information is the structural description information of a clue or the related information of characters, audios and videos, pictures and linked fragment, and the pictures comprise screen shots; in some cases, different clue information has logical association, and the operation on the clue information includes establishment, content editing and modification, verification or authentication and deletion.
Working logic of clue information reporting unit: as shown in fig. 3, the cue information reporting unit includes manual structural cue information entry, manual uploading of multimedia cue fragment information, and automatic cue capture of the network community; the manual structural clue information input and/or the uploading of the multimedia clue fragment information at least comprises the identity identification of a monitored object, the occurrence environment of the monitored clue behavior, objective observation information and related additional data, and the identity identification information of an observer; the automatic clue grabbing triggers clue information uploading according to the rules of the automatic clue grabbing, and the content of the uploaded information is the same as or similar to the information of manual structural clue information input and/or multimedia clue fragments; the automatic clue grabbing rules comprise grabbing all new comments of a specific community, grabbing new comments of a specific monitoring object and triggering the appearing community keywords; the method comprises the steps of manual structural clue information input, manual multimedia clue fragment information and automatic clues of a network community, and notification of information arrangement personnel is triggered through a data platform according to preset rules.
Clue information reporting unit function: the clue information enters a database to be stored in a centralized way, is uniquely identified, and triggers short messages, mails or messages of information sorting operation.
(2) Clue information sorting unit
The information input by the clue information arrangement unit comprises but is not limited to clue database information, work prompt information of information to be arranged, and past electronic medical records or health file information of residents obtained according to medical history.
The working logic of the clue information sorting unit is as follows: as shown in fig. 4, in the thread information collating unit, the information collator completes verification, duplication removal, merging and association of the original thread information through manual confirmation and data comparison operations according to the prompt; further, additional clue information mining processing is carried out, such as integration or association of electronic medical record information, normative and structured storage of clue information is achieved, professionals are informed to carry out subsequent professional analysis, and clue information verified by professional authentication can be written back to the personal health file; in the clue information arrangement unit, clue information bases before and after arrangement are separately stored, and clue information state identification is introduced.
Description of assistance and optional requirements: the auxiliary function requirements comprise personnel authentication management, personnel qualification management and comprehensive query; standardization and visualization are main non-functional requirement attributes of the clue information arrangement unit.
The clue information arrangement unit function: and obtaining a normative and structured thread information base through the thread information sorting unit, and sending short messages, mails or messages to the analysis and early warning module.
B. Analysis early warning module
The analysis early warning module is used for performing clue analysis, disease condition or mental health condition evaluation, dangerous behavior prejudgment and risk early warning by a professional doctor, a consultant or a therapist, and the information technical personnel assist the mental health experts in establishing and perfecting a behavior model which comprises a dangerous behavior model; the shared data platform is used for carrying out centralized and safe storage on data, information and models required and generated in the process of capturing reports, analyzing and early warning software application so as to realize result storage, data sharing and process connection of a business link; as shown in fig. 1, the analysis and early warning module includes an analysis and early warning unit and a model management unit:
(1) analysis early warning unit
The clue information input by the analysis and early warning unit comprises a clue information base behavior model base which is arranged and organized, an associated health record database, clue information in a knowledge base and received prompt information.
Analyzing the working logic of the early warning unit: as shown in fig. 5, the analysis and early warning unit includes: comprehensively inquiring and cross-referencing cable information, health files, electronic medical record information and other related information; carrying out qualitative and quantitative evaluation and reliability analysis on diseases, problems or obstacles of the monitored object according to the cable information, the health file, the electronic medical record information and other related information; performing association analysis on key communities, key objects, specific events or keywords by referring to the behavior model, and discovering or exploring motivations and reasons of dangerous behaviors; according to the decision tree, proposing a monitoring direction, an intervention scheme or a treatment scheme suggestion to the counterweight object; and performing behavior prediction according to clues, case information and a behavior model, and giving out early warning according to the classification standard of dangerous behaviors of the community.
Supplementary and optional requirements specification: recording the analysis and decision process faithfully and continuously to realize credible, traceable and sustainable-improvement early warning service; interactivity, visualization and intellectualization are the main non-functional characteristics of an analysis link, and business functions depend on a reliable and instant information exchange and message distribution platform.
Analyzing the functions of the early warning unit: the results output by the analysis early warning unit comprise diagnosis or evaluation conclusion, risk early warning information, treatment scheme suggestion and behavior intervention suggestion, and the output results are recorded into health files and notified to related personnel through an intelligent data platform.
(2) Model management unit
The clue information input by the model management unit comprises manually input model metadata such as perception, cognition, memory, emotion and will, behavior, language and semantic relevance between the model metadata.
Model management unit working logic: as shown in fig. 6, the model management unit includes: establishing a model, namely establishing a behavior model framework through manual input; model editing, namely adding, deleting or modifying the whole, middle branch or terminal each layer of the established behavior model; model evaluation, namely realizing manual evaluation and comprehensive evaluation of an expert on the model; model import, importing an external model by standardized or artificial assistance means; and (3) computer-aided case learning, so that the reliability influence or correction of the case on the model is realized.
Supplementary and optional requirements specification: performing faithful and continuous evolution recording on the operation of the model so as to realize credible, traceable and sustainable-improvement early warning service; interactivity, visualization, and intelligence are the main non-functional features of model management.
The function of the model management unit: adding new behavior model and revising and deleting the existing behavior model.
C. Shared data platform
The method is used for storing data, information and models required and generated in the process of capturing reports, analyzing and early warning software application in a centralized and safe manner so as to realize result storage, data sharing and process connection of business links. As shown in fig. 1, the shared data platform includes a database, a model library, and message middleware:
(1) database with a plurality of databases
The database stores data needed and generated in the process of applying the system for realizing the community dangerous behavior early warning in a centralized, safe and continuous manner, and stores basic information of community residents, health file information and application data of registered professional professionals, wherein the registered professional professionals comprise psychiatrists, psychological consultants and psychological therapists, so that the system application software for realizing the community dangerous behavior early warning is supported to run.
(2) Model library
The model library comprises behavior models, and the behavior models comprise meta-models and individualized behavior models of community dangerous behaviors; the meta-model of the community dangerous behaviors describes perception, cognition, memory, emotion, will, behavior, language and community behavior related features of the general individuals and semantic association between the perception, cognition, memory, emotion, will, behavior, language and community behavior related features of the general individuals; the individual behavior model is an individual data model generated according to a meta-model of community dangerous behaviors;
(3) message middleware
The message middleware is a mature commercialized software product and is used for shielding the difference between platforms and protocols, realizing reliable transmission or store-and-forward of messages under any network condition and realizing the business cooperation of the community dangerous behavior early warning system, wherein the business cooperation comprises automatic reminding, information transmission and message distribution.
As shown in fig. 2, a method for implementing early warning of community dangerous behaviors includes the following steps:
step 101, selecting and deploying a monitoring community;
102, using a system for realizing community dangerous behavior early warning to report or capture clue information in a community;
103, analyzing the received clue information based on a behavior model and carrying out dangerous behavior early warning by using a system for realizing community dangerous behavior early warning;
104, performing targeted treatment and intervention according to the analysis result and the early warning information;
105, further monitoring according to needs, and realizing continuous spiral closed-loop management on dangerous behavior early warning;
the system for realizing the early warning of the dangerous behaviors in the community comprises a capturing report module, an analyzing early warning module and a shared data platform; the acquisition reporting module is used for reporting clue information by information reporting personnel, the sharing platform automatically captures the clue information, the information collating personnel collate the clue information, and the platform reminds corresponding professionals of analysis early warning or treatment; the analysis early warning module is used for performing clue analysis, disease condition or mental health condition evaluation, dangerous behavior prejudgment and risk early warning by a professional doctor, a consultant or a therapist, and the information technical personnel assist the mental health experts in establishing and perfecting a behavior model which comprises a dangerous behavior model; the shared data platform is used for carrying out centralized and safe storage on data, information and models required and generated in the process of capturing reports, analyzing and early warning software application so as to realize result storage, data sharing and process connection of a business link.
Another method for realizing early warning of community dangerous behaviors comprises the following steps:
obtaining clue information;
sorting clue information, including verification, duplication removal, merging and correlation operations;
analyzing the clue information based on the behavior model to obtain an analysis result and send out necessary early warning information;
and performing treatment or further acquiring clue information according to the analysis result and the early warning information.
The clue information is direct description of events or behaviors for revealing abnormal mental conditions or tendencies of the monitored object, or structural description information of a clue, or related characters, audios and videos, pictures and link fragment information, wherein the pictures comprise screen shots; in some cases, different clue information may be logically related. Obtaining the clue information by at least one of the following methods: manually reporting clue information; and automatically capturing clue information.
The method comprises the following steps of carrying out behavior model-based analysis on cable information to obtain an analysis result and sending out necessary early warning information, wherein the behavior model-based analysis specifically comprises one or more of the following activities:
A. comprehensively inquiring and cross-referencing the cable information and the health file or electronic medical record information of the related object to obtain the existing diagnosis and treatment information;
B. performing qualitative and quantitative evaluation and reliability analysis thereof according to the clue information and the diagnosis and treatment information and referring to the behavior model to obtain an analysis result about the diseases, the obstacles or the problems of the object;
C. according to the clue information and the diagnosis, treatment and analysis results, referring to the behavior model, performing attribution analysis on the dangerous behaviors which are already generated, and predicting the dangerous behaviors which are possibly generated to obtain a prediction result;
D. according to the prediction result, giving out early warning by contrasting with the classification standard of dangerous behaviors of the community;
E. and giving the next monitoring direction, intervention scheme or treatment recommendation to the counterweight object according to the prediction result.
The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions available to those skilled in the art through logic analysis, reasoning and limited experiments based on the prior art according to the concept of the present invention should be within the scope of protection defined by the claims.
Claims (10)
1. A system for realizing community dangerous behavior early warning is characterized by comprising an application software system and a shared data platform, wherein the application software system comprises a capture report module and an analysis early warning module; wherein,
the capturing and reporting module is used for reporting clue information by information reporting personnel, and the sharing platform automatically captures the clue information;
the analysis early warning module is used for performing clue analysis, disease condition or mental health condition assessment, dangerous behavior prejudgment and risk early warning by a professional doctor, a consultant or a therapist, and the behavior model comprises a dangerous behavior model;
the shared data platform is used for storing data, information and models required and generated in the process of capturing reports, analyzing and early warning software application in a centralized and safe mode.
2. The system for realizing community dangerous behavior early warning as claimed in claim 1, wherein the capturing report module comprises a clue information reporting unit and a clue information sorting unit; wherein,
the clue information reporting unit is used for inputting clue information, the clue information is the direct description of events or behaviors which may reveal the abnormal mental condition or tendency of the monitored object, and the operation on the clue information comprises establishment, content editing modification, verification or authentication and deletion;
the information input by the clue information arrangement unit comprises but is not limited to clue database information, work prompt information of information to be arranged, and past electronic medical records or health file information of residents obtained according to medical history.
3. The system for realizing community dangerous behavior early warning as claimed in claim 2, wherein the clue information reporting unit comprises manual structured clue information entry, manual uploading of multimedia clue fragment information and automatic clue capture of network community;
the manual structural clue information input and/or the uploading of the multimedia clue fragment information at least comprises the identity identification of a monitored object, the occurrence environment of the monitored clue behavior, objective observation information and related additional data, and the identity identification information of an observer;
the automatic clue grabbing triggers clue information uploading according to the rules of the automatic clue grabbing, and the content of the uploaded information is the same as or similar to the information of manual structural clue information input and/or multimedia clue fragments; the automatic clue grabbing rules comprise grabbing all new comments of a specific community, grabbing new comments of a specific monitoring object and triggering the appearing community keywords;
manual structural clue information input, manual multimedia clue fragment information and automatic clues of a network community trigger the notification of information collating personnel through a data platform according to preset rules;
and the clue information reporting unit is used for enabling the clue information to enter a database for centralized storage, unique identification and triggering short messages, mails or messages of information sorting operation.
4. The system for realizing community dangerous behavior early warning as claimed in claim 2, wherein in the clue information collating unit, information collating personnel completes verification, duplication removal, merging and association of original clue information through manual confirmation and data comparison operations according to prompts;
in the clue information arrangement unit, clue information bases before and after arrangement are stored separately, and clue information state identifiers are introduced;
and obtaining a normative and structured thread information base through the thread information sorting unit, and sending short messages, mails or messages to the analysis and early warning module.
5. The system for realizing community dangerous behavior early warning of claim 1, wherein the analysis early warning module comprises an analysis early warning unit and a model management unit; wherein,
the clue information input by the analysis early warning unit comprises a clue information base behavior model base which is arranged and organized, an associated health archive database, clue information in a knowledge base and received prompt information;
the clue information input by the model management unit comprises manually input model metadata such as perception, cognition, memory, emotion and will, behavior, language and semantic relevance between the model metadata.
6. The system for realizing community dangerous behavior early warning as claimed in claim 5, wherein the analysis early warning unit comprises:
comprehensively inquiring and cross-referencing cable information, health files, electronic medical record information and other related information;
carrying out qualitative and quantitative evaluation and reliability analysis on diseases, problems or obstacles of the monitored object according to the cable information, the health file, the electronic medical record information and other related information;
performing association analysis on key communities, key objects, specific events or keywords by referring to the behavior model, and discovering or exploring motivations and reasons of dangerous behaviors;
according to the decision tree, proposing a monitoring direction, an intervention scheme or a treatment scheme suggestion to the counterweight object;
performing behavior prediction according to clues, case information and a behavior model, and giving out early warning according to a classification standard of community dangerous behaviors;
the results output by the analysis early warning unit comprise diagnosis or evaluation conclusion, risk early warning information, treatment scheme suggestion and behavior intervention suggestion, and the output results are recorded into health records and notified to related personnel through an intelligent data platform.
7. The system for realizing community dangerous behavior early warning as claimed in claim 5, wherein the model management unit comprises:
establishing a model, namely establishing a behavior model framework through manual input;
model editing, namely adding, deleting or modifying the whole, middle branch or terminal each layer of the established behavior model;
model evaluation, namely realizing manual evaluation and comprehensive evaluation of an expert on the model;
model import, importing an external model by standardized or artificial assistance means;
computer aided case learning to realize the credibility influence or correction of the case to the model;
and adding a behavior model and revising and deleting the existing behavior model through the model management unit.
8. The system for implementing community risk behavior warning as claimed in claim 1, wherein the shared data platform comprises a database, a model library and a message middleware, wherein:
the database is used for carrying out centralized, safe and continuous storage on data required and generated in the process of applying the system for realizing the community dangerous behavior early warning;
the model base comprises behavior models, and the behavior models comprise meta-models and individualized behavior models of community dangerous behaviors;
the message middleware is a mature commercialized software product and is used for shielding differences between platforms and protocols and realizing reliable transmission or storage and forwarding of messages under any network conditions, the service cooperation of the system for realizing the community dangerous behavior early warning is completed through the message middleware, and the service cooperation comprises automatic reminding, information transmission and message distribution.
9. A method for realizing community dangerous behavior early warning is characterized by comprising the following steps:
selecting and deploying a monitoring community;
using a system for realizing early warning of dangerous behaviors of the community to report or capture clue information in the community;
analyzing the received clue information based on a behavior model and carrying out dangerous behavior early warning by using a system for realizing community dangerous behavior early warning;
performing targeted treatment and intervention according to the analysis result and the early warning information;
and further monitoring according to the requirement, and realizing continuous spiral closed-loop management on dangerous behavior early warning.
10. The method for realizing community dangerous behavior early warning as claimed in claim 9, wherein the system for realizing community dangerous behavior early warning comprises a capturing report module, an analysis early warning module and a shared data platform; wherein,
the acquisition reporting module is used for reporting the clue information by information reporting personnel, the shared platform automatically captures the clue information, the information collating personnel collates the clue information, and the platform reminds corresponding professional personnel to perform analysis early warning or treatment;
the analysis early warning module is used for performing clue analysis, disease condition or mental health condition evaluation, dangerous behavior prejudgment and risk early warning by a professional doctor, a consultant or a therapist, and an information technician assists a mental health expert in establishing and perfecting a behavior model, wherein the behavior model comprises a dangerous behavior model;
the shared data platform is used for storing data, information and models required and generated in the process of capturing reports, analyzing and early warning software application in a centralized and safe mode.
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