CN113066563A - Credible medical bad information reporting processing system - Google Patents

Credible medical bad information reporting processing system Download PDF

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CN113066563A
CN113066563A CN202110376348.0A CN202110376348A CN113066563A CN 113066563 A CN113066563 A CN 113066563A CN 202110376348 A CN202110376348 A CN 202110376348A CN 113066563 A CN113066563 A CN 113066563A
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冯云霞
牛云鹤
李旭
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Qingdao University of Science and Technology
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/80ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for detecting, monitoring or modelling epidemics or pandemics, e.g. flu

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Abstract

The invention provides a credible medical bad information reporting and processing system. Aiming at the problems of low data reliability, poor privacy protection and incapability of well ensuring data safety in an adverse event reporting process under the current service architecture, a credible medical adverse information reporting processing system architecture based on big data, artificial intelligence and a block chain technology is designed. And storing the relevant data of the adverse event reporting process into a distributed book database by using a block chain technology, so as to ensure that the data is not tampered. And the occurrence frequency and the trend of adverse events are analyzed by applying artificial intelligence and a big data technology, so that reliable reference is provided for relevant departments to make policy and policy. The invention can be applied to intelligent terminal medical service systems such as 'intelligent hospitals' and the like deployed in hospitals or health care committees, and provides information services for health system workers.

Description

Credible medical bad information reporting processing system
Technical Field
The invention belongs to the technical field of big data, artificial intelligence and block chains, and the scheme can be applied to a supervision information reporting system, such as a medical treatment bad information reporting processing system.
Background
The medical safety (adverse) event refers to any factor and event which may affect the diagnosis and treatment result of the patient, increase the pain and burden of the patient, possibly cause medical disputes or medical accidents, and affect the normal operation of the medical work and the personal safety of the medical staff during the clinical diagnosis and treatment activities and the operation process of the hospital. Reporting of medical safety (adverse) events is an important measure for finding potential safety hazards in the medical process, preventing medical accidents and improving medical quality. Therefore, hospitals and health supervision departments actively implement and establish and perfect a system for actively reporting medical adverse events, and can discover adverse events and potential safety hazards in time to ensure the safety of patients; and the reported medical safety information and adverse events are analyzed, so that the defects in the conventional hospital service process are found, the improvement measures which meet the actual requirements are provided, and the better medical service quality is provided for the masses.
Chinese patent document CN 104732327 a discloses a "hospital medical safety (adverse) event network reporting system", which uses a network to report "hospital medical safety (adverse) events", and can replace paper reports to report, thereby improving the working efficiency to a certain extent; CN 207052301U discloses a the utility model discloses a "hospital adverse event management system", including system server, medical terminal, nursing terminal and medical skill terminal, realize to a certain extent to hospital adverse event's integrated management, avoid medical treatment mistake's emergence once more, and then avoid the medical malpractice who arouses from this.
The prior art relieves the problems of complicated reporting and low informatization level of medical adverse event information to a certain extent, but still does not well solve the problems of data safety, data credibility, user privacy and the like in reporting and using of medical adverse event information.
Disclosure of Invention
Aiming at the objective problem of the reporting flow of the adverse medical events and the defects of the prior art, the invention provides a system for reporting and processing the adverse medical information, which is based on a block chain technology and has high safety degree of the medical data and good credibility degree of the data and protection degree of privacy of users.
The invention carries out credible storage on the process information in the reporting process of the adverse medical event by using the block chain technology, solves the problems of data tampering and leakage caused by the vulnerability of the traditional centralized medical information system, carries out credible tracing and credible accountability on the process information and responsible persons in the event processing process, and carries out summary analysis on the data by using big data and artificial intelligence technology on the premise of ensuring privacy to generate a visual report and suggestion, thereby providing reliable reference for the next work of employees.
For the medical bad information reporting scene, the data privacy requirement is higher, so the alliance chain technology with the admission mechanism is adopted for realization. Compared with the prior art, the time, labor and maintenance cost possibly required by using the alliance chain technology are less, safe and reliable approval management of reported medical adverse event information is facilitated, doctor-patient privacy is protected, and medical service quality is improved.
The process information stored in the alliance chain comprises items such as a reporter, an approver, an approval opinion, reporting time, approval time, an event summary and the like. In view of the particularity of reporting and processing of adverse events, the invention only carries out formal verification on data when the process information is commonly identified and stored, for example, an approver in the process information needs to be a legally registered user, and description, forwarding and approval of the adverse events need to be manually selected and filled by a system depending on a relevant permitted user. The alliance link module is used for ensuring that the process information of medical bad information reporting and approval cannot be tampered, so that the bad event processing process can be traced and traced back to be truthful, and the medical system management and medical service quality are improved.
The credible medical unhealthy information reporting processing system comprises an information filling module, an information approval module, a native data storage module, a core processing module, a alliance chain consensus module, an alliance chain storage module, an alliance chain sharing module, a data summarization visual analysis module, a WeChat service number interface and a Chinese infectious disease and public health incident monitoring information system interface, wherein the core processing module is respectively connected with other parts through a wired or wireless network. Fig. 1 is a schematic diagram of a trusted adverse medical information reporting processing system.
The information filling module is used for initially filling medical unhealthy information. In order to facilitate rapid low-threshold filling of a reporter and improve the efficiency and the comprehensive filling rate of medical adverse information filling, the information filling module provides a filling template for the reporter to select, the filling template comprises three types of templates, namely a common adverse information filling template, an infectious disease and emergency public event filling template and a custom filling template, the common adverse information filling template can provide large types of selections, such as a medical nursing adverse event reporting template, a medical instrument adverse event reporting template, a public security management adverse event reporting template and the like, and the medical nursing adverse event can be divided into more than ten types of subdivided templates, such as pressure sores, falling/falling beds, pipeline slide rails, drug delivery errors, drug leakage, aspiration, patient identification errors, restraint accidents, patient self-injury/suicide, blood transfusion errors, burns/scalds and the like. The newspaper, time, place and the like in the information filling module are items marked with the letter, the items are indispensable items, and information related to the newspaper or the electronic medical record can be hidden when the information is circulated outside the hospital, so that the privacy of the newspaper and the patient is protected. The reporter may also fill in information in the remarks field that is not included in the template and that is helpful for the adverse event handling.
The information approval module is used for approving and forwarding medical unhealthy information. And forwarding the bad information approval process to a proper responsible person for approval, wherein the approver gives approval opinions within the authority range of the approver, and forwards the bad information exceeding the authority threshold range to a superior authority department for approval until the event is finally qualified, and the result is fed back to the reporter to finish the medical bad information reporting process.
The native data storage module is used for storing medical data related to the reported bad information, and the medical data comprises an EMR database, an HIS database and the like. Because the high-definition medical image native data is large in size and is not suitable for being directly stored in the alliance chain system, large-size files in bad information are stored in a database inside a hospital and are backed up, and operation information such as adding, deleting, changing and checking of the module can be finally stored in the alliance chain distributed account book database so as to enhance the data safety and operation credible traceability of the native data storage module.
The core processing module is a central part of the credible medical bad information reporting processing system, all parts of the credible medical bad information reporting processing system are interconnected and intercommunicated into a whole, and information flow of three typical information flows, namely information of supervision departments and information between different levels of supervision departments in a medical institution is coordinated and processed. And a friendly interactive interface is provided for a user, and functions of user registration, user authentication, information import, information modification, information inquiry, information export, information printing, basic authority control and the like are provided. The information modification is limited to the medical information in the original data storage module and the basic information in the medical adverse event reporting process, and the reporting process is manually approved and checked by multiple persons, so that the information which is approved and commonly identified and stored in the alliance chain does not support modification, and the data credibility is ensured. The basic authority control can hide the information which is not enough to be checked by the user with insufficient authority, and the privacy and safety of doctors and patients related to adverse events are protected.
The alliance chain consensus module is used for packaging bad information of examination and approval and information generated by a reporting process of the bad information, a medical institution and a supervision department form a consensus node group, and after consensus is achieved, data are written into a distributed account book database to ensure that the data cannot be tampered. The PBFT consensus algorithm is selected to realize the final consistency of the distributed ledger database, the problem of the Byzantine general in the distributed system is effectively solved, and the overall safety of the system is further improved.
The alliance chain storage module is a distributed book database, data are in a block chain structure, a Merkel tree is generated by using a Hash algorithm, and the data are guaranteed not to be tampered. The data stored in the database mainly comprises: reporting bad information reported by a person and data generated in the bad information approval process; the data related to the bad information in the native data storage module is added, deleted, modified and checked to obtain operation data; allowing a user to apply for checking data operation information in the alliance chain storage module in the alliance chain sharing module; and the data summarizing visual analysis module generates data and other information used by the visual report.
And the alliance chain sharing module is used for sharing the data in the alliance chain storage module. Performing secondary verification on a user requesting to access the data of the distributed account book database, and implementing strict authority control on an allowed user to protect the privacy of the user; and recording and storing operation data such as data query of the authorized user to the alliance chain data storage module, ensuring the traceability of related data operation and ensuring the authority to the person.
And the data summarizing visual analysis module is used for summarizing and analyzing the reported bad information subjected to examination and approval processing. The method has the advantages that the visual report forms and suggestions are generated by analyzing and using big data and artificial intelligence technology, the frequency and the trend of occurrence of adverse medical events are vividly and vividly presented, the grasp of medical supervision departments on the actual conditions of the adverse medical events is enhanced, targeted policy and policy are formulated, the overall operation efficiency of a medical health system is improved, and better medical service quality is provided for people. The data summarization visualization analysis module can also perform custom analysis on bad events by selecting attributes such as time periods, event types and the like, so that the usability is enhanced.
The WeChat service number interface is used for accessing the medical bad information reporting system through the mobile equipment. Based on the huge loading probability of the WeChat, the WeChat service number is used, so that a user does not need to additionally install mobile application, the hardware threshold of a user is reduced, and the development cost of a mobile terminal is saved. The WeChat service signal interface mainly has the following functions: pushing backlogs, namely pushing the backlog approved process logs to prompt related responsible personnel to examine and approve the process in time, so that the overall operation efficiency of the process is improved; secondly, a button for rapidly filling bad information is provided through a WeChat service number menu, and a common bad information reporting template is provided, so that workers can conveniently and rapidly fill bad information, and the threshold for filling bad information is greatly reduced; and the simple data query function is provided, two query modes including common users and practitioners are included, strict user authority management is provided, and privacy and safety of doctors and patients are protected. The practitioner account can quickly inquire the state of the flow in the process of approval completion or approval handling of the account, so that the data utilization rate is enhanced, and the daily work efficiency is improved; the common user account can inquire the adverse event flow processing result related to the account.
The Chinese infectious disease and emergent public health incident monitoring information system interface is used for quickly and directly reporting the bad information of infectious diseases, emergent public health incidents and the like to the Chinese infectious disease and emergent public health incident monitoring system. For adverse events with higher time sensitivity, such as infectious diseases and emergent public health events, the conventional adverse event reporting process is obviously not practical, so when the infectious diseases and the emergent public health events are found, related workers can start the direct reporting process to quickly and directly report adverse information, such as the infectious diseases and the emergent public health events, to the Chinese infectious diseases and emergent public health event monitoring system, and the Chinese infectious diseases and the emergent public health event monitoring system are networked nationwide, so that the adverse events can be quickly responded, and adverse consequences caused by the adverse health events are reduced.
The medical bad information reporting process comprises a conventional reporting process and a direct reporting process, the conventional reporting process of the medical bad information is shown in figure 2, the occurrence of the bad events is discovered, and the nature and the division of the bad events are preliminarily judged by primary medical staff and department staff; the primary medical care personnel and department personnel log in the system, and select a conventional template or a custom template from the templates provided by the reporting module and fill in the template; after completion of filling, the reporting process reports to a corresponding department principal for preliminary examination and approval, if the condition is in fact and the form is in compliance, the report is reported to a functional department for examination and approval, and if the condition is not in fact or the form is not in compliance, the report is returned to a reporter for modification and re-reporting; after the primary examination and approval of the corresponding department principal, the process is forwarded to functional departments for further examination and approval, modification opinions are attached to unqualified examination and approval, the examination and approval is returned to the previous stage for modification and then reported, and qualified examination and approval are reported to a hospital quality control department; when the process reaches the hospital quality control department, the common adverse events with lower grade are finally qualified, and the final qualitative results and treatment opinions of the adverse events are fed back to the reporter. For unusual and higher-grade adverse events, the hospital quality control department can continuously report district-level Weijian committee of the district to which the hospital quality control department belongs to further qualify; if the adverse event belongs to a qualified event of the prefecture-level Weijian committee, the prefecture-level Weijian committee examines and approves the adverse event and feeds the adverse event back to the reporter. If the adverse event exceeds the power range of the prefecture-level Weijian Commission, the adverse event is reported to the prefecture-level Weijian Commission for further approval and qualification; if the adverse event belongs to the event which can be qualified by the Weijian of the prefecture level, the Weijian of the prefecture level will examine and approve the adverse event and feed back the adverse event to the reporter. If the adverse event exceeds the scope of the authority of the city-level Weijian Commission, the adverse event is reported to the provincial Weijian Commission for further examination and approval; if the adverse event belongs to the event which can be qualified by the provincial health committee, the provincial health committee examines and approves the adverse event and feeds back the adverse event to the reporter. If the adverse event exceeds the scope of provincial health committee authority, the adverse event is reported to national health committee for further approval and qualification; the national Weijian committee will finally qualify the adverse event, and feed back the examination and approval results and the processing opinions in reverse order according to the reporting path until the reporter finishes the process.
Furthermore, each time the medical adverse event information is approved and forwarded in the conventional reporting process of the medical adverse information, a reminding module of the system can remind responsible personnel of the pending process, and meanwhile, the pending process is pushed through the WeChat service number, so that the stagnation of the process is reduced to the maximum extent, and the processing efficiency is improved.
The direct reporting flow of medical bad information is shown in fig. 3, when an adverse event is found, a reporter judges that the event belongs to an infectious disease and a sudden public health event, and needs to go through the direct reporting flow; the reporter logs in the system, selects the reporting template of the infectious disease and the emergent public health event from the templates provided by the reporting module and fills in and reports the template; after receiving the notice to be processed, the responsible person of the quality control part verifies whether the condition is true and whether the information reported by the reporter is in compliance, if the condition is not approved, the process returns to the reporter, and the reporter is reminded to modify the condition in time and report the condition again; if the situation is actual and the reported information is in compliance, the responsible person of the quality control department reports the bad information flow to the Chinese infectious disease and emergent public health incident monitoring system through the interface of the Chinese infectious disease and emergent public health incident monitoring information system; the system is networked nationwide, after receiving the message, the message is approved by related responsible personnel and professionals, after being judged by approval, if the adverse event has a large influence range and serious consequences, the related responsible personnel can issue early warning to medical institutions and government units in the adverse event influence range through a Chinese infectious disease and emergent public health event monitoring information system, and add processing suggestions to the related units for reference; responding medical institutions and government units within the range to respond until the event is processed satisfactorily, and ending the process; if the adverse event has a limited influence range and extremely small consequences, relevant responsible personnel can make feedback to the quality control department of the reporting hospital through the Chinese infectious disease and emergent public health event monitoring information system and give corresponding judgment and professional treatment opinions; reporting the feedback and the processing suggestion received by the hospital quality control part, and informing an event influence department to perform response processing; the quality control part of the reporting hospital feeds back the bad information reporting process to the reporter and attaches the guidance suggestion, the reporter receives the information and responds according to the guidance suggestion, and the process is finished.
Furthermore, the reporter in the direct reporting process of the medical bad information includes medical staff, department personnel, corresponding department personnel and related functional departments. Different from the conventional reporting process, the direct reporting process directly reports the report to the quality control department of the hospital regardless of whether the report is a medical worker or a corresponding department worker, so that the intermediate examination and approval links are reduced, and the total time of the processing of the reporting process is shortened.
Furthermore, when the reporter reports the adverse event information to the quality control department of the hospital in the direct medical adverse information reporting process, the reminding module of the trusted medical adverse information reporting processing system reminds the responsible personnel of the high-priority to-be-processed process, and simultaneously pushes the high-priority to-be-processed process through the micro-messaging service number, so that the stagnation of the process is reduced to the maximum extent, the direct reporting process processing efficiency is accelerated, and the adverse consequences caused by infectious diseases or sudden public health events are reduced.
From the above, compared with the existing hospital adverse event reporting and processing system, the system has the following advantages and beneficial effects:
1. a system main body framework is built by using a block chain technology, record and storage operation is carried out on examination and approval process information reported by bad information, calling operation information of medical raw data such as electronic medical records and the like, and access information of a distributed database, so that the use safety and the storage safety of the data are ensured, the operation of a user is traced back trustfully, the privacy safety of the user is protected, and the medical service quality is greatly improved.
2. The reported bad information is analyzed by using big data and artificial intelligence technology to generate a visual chart, the frequency and the trend of the bad events are vividly and vividly displayed, an intelligent improvement suggestion is generated, and powerful assistance is provided for the progress of medical management level of practitioners.
3. And a WeChat service signal is used for reminding a relevant person in charge of the process to timely process the bad information reporting process, so that the process running speed is increased, and the work efficiency of the bad information reporting approval is ensured.
4. The reporting and inquiring functions in the bad information reporting process can be used in desktop equipment and a WeChat service number menu, hardware equipment thresholds for reporting and inquiring bad information are reduced, conventional templates are provided in the reporting function, direct reporting templates and custom templates are selected, various reporting requirements of workers are met, software use thresholds for reporting bad information are reduced, and the reporting rate of the bad information is guaranteed.
5. For infectious diseases and emergent public health events, a direct reporting process can be used, the system can be in butt joint with the Chinese infectious diseases and emergent public health event monitoring information system through the Chinese infectious diseases and emergent public health event monitoring information system interface, the infectious diseases and emergent public health events are quickly responded, and adverse consequences caused by the adverse events are reduced to the maximum extent.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention.
Fig. 2 is a schematic view of a conventional reporting process of medical bad information.
Fig. 3 is a schematic view of a process for directly reporting medical bad information.
Fig. 4 is a schematic view of reporting levels of adverse medical information.
Detailed Description
The following describes the implementation process of the present invention by taking an adverse event reported by a hospital in two hospitals as an example. The participating nodes of the example system include 1 prefecture level Weijian Commission node, 11 prefecture level Weijian Commission nodes, 3 Trim Hospital nodes, 33 Dim Hospital nodes, and 99 Country health Hospital nodes.
The deployment, specific operation flow and operation process of the medical bad information reporting processing system are as follows:
(1) a system based on a alliance chain is deployed among all participating nodes of the medical unhealthy information reporting processing system to provide corresponding alliance chain services, and all deployment modules are shown in fig. 1. In the example, the prefecture level health committee node is a super node in the regional system and is responsible for overall functions such as account registration, login verification and the like, the rest 146 nodes are ordinary nodes, the ordinary nodes are further divided into non-verification nodes and verification nodes, the non-verification nodes are nodes which do not execute any transaction and only forward information to the verification nodes, and 20 county and town health yard nodes with relatively crude conditions in the example belong to the non-verification nodes; the verification node is a node that performs a consensus mechanism, creates and verifies information, and the remaining 126 nodes belong to the verification node. When each node is deployed and on-line, information such as a national organization unified social credit code needs to be submitted to a super node for application registration, after the approval is passed, identity information is written into a federation chain for retention and corresponding authority is given, for example, a health care committee node has the highest authority in an area, so that an administrative supervision department can approve or check and supervise an event flow. The registration of the user in the node also needs to provide identity information for registration and retention, such as the registration of the administrative staff in the health commission, the medical staff in the medical institution, the personnel in the relevant departments, the functional departments and the quality control department, so as to ensure the authenticity and credibility of the user information.
(2) In the example, in a certain hospital, when a medical worker finds that a patient has self-injury when making a ward round, the medical worker can perform proper treatment according to training instructions, open the system, input a job number password, select a reporting template after successfully logging in as a patient self-injury/suicide template in adverse nursing events, fill information such as found time, place (ward and bed number), whether the patient is properly treated according to the template details, submit the information after filling, report the flow to related department personnel, remind the related department personnel through a WeChat service number notification and reporting system, verify the event after the related department personnel log in the system, fill approval opinions in an approval opinion column, select a functional department to be forwarded, report the flow to the functional department, and after receiving approval notices, checking the event, filling the examination and approval opinions in an examination and approval opinion column, reporting the process to a hospital quality control department, carrying out examination and approval verification on the event by a hospital quality control department worker, reporting the event to the county-level Weijian Committee after filling the examination and approval and treatment opinions, carrying out final examination and approval qualification on the event by the county-level Weijian Committee worker, finishing the process, and informing medical workers, related department personnel, functional departments and the hospital quality control department of the final examination and approval result and treatment opinions of the event by the system. In the approval process, if the process is stopped for more than 24 hours, an abnormal mark is marked, so that the adverse medical events caused by overtime approval can be enlarged and blamed for people. The routine reporting process of adverse medical events with high requirements on approval authority is shown in fig. 2. When an infectious disease or a public health accident happens, a direct reporting flow is started, and the specific flow is shown in figure 3. Refer to fig. 4 for reporting levels related to national and provincial health committees.
(3) The system records data such as related personnel related to process transfer and examination and approval opinions of the related personnel in process report by using an intelligent contract, and calls a alliance chain consensus module (105) to start a consensus process of a PBFT algorithm after the process report is finished, wherein the basic process of consensus mainly comprises the following 6 steps:
firstly, the node (client) of the hospital sends a request to a Weijian node (main node) in the local city level;
secondly, after the verification of the local defense and health committee node (main node) is passed, broadcasting a request, sending a pre-preparation message to other nodes, and storing the request by the node;
after other nodes receive the pre-preparation message, the first step is to check whether the sequence of the data is correct, the sequence of the operation and whether the transaction is valid, for example, the step of signature is to prevent the client from being forged or the master node from being tampered and forged. After the node is verified to be correct, writing the node into a disk of the node, then broadcasting a preparation message, and entering a preparation stage by the node;
all nodes count the preparation information aiming at a certain request, when the counting result exceeds the 2f node, the nodes indicate that most nodes finish persistence, then the nodes enter a submission stage to broadcast the submission information, and count the number of the received submission information;
when the node exceeds 2f and sends the submitted information, the node completes the submission stage, writes in data, uses its own state machine to update the stable check point, caches the last request of the client, and feeds back to the node (client) of the second hospital;
when the number of the nodes statistically fed back by the nodes (client sides) of the second hospital exceeds f +1, the fact that the transaction is confirmed by most of the nodes means that the consensus is completed correctly. If the timeout has not been successful, the request is broadcast to all nodes.
After the medical bad information data passes through the PBFT consensus algorithm process, the medical bad information data is stored in an alliance chain storage module (106) for lasting storage and can not be tampered.
(4) The query of the user to the data in the system is mainly divided into the following categories: firstly, a user queries a distributed ledger database of a alliance chain, secondary verification control is carried out through an alliance chain sharing module (107), strict authority control is carried out on permitted users, privacy of the users is protected, operation data of the users such as application, data query and the like are recorded and stored in a consensus mode, traceability of data operation is guaranteed, and authority is confirmed to be responsible for people; allowing a user to inquire the flow in the examination and approval, verifying the authority of the user by a core processing module (104), recording the access inquiry trace of the allowed user in the flow, and commonly identifying and storing the access inquiry trace in a distributed ledger database of the alliance chain; and thirdly, the external user of the system inquires the processing result of the bad event related to the user, the user selects convenient inquiry from a menu provided by the WeChat service number, and inquires the processing result of the bad event related to the user after inputting the name, the identity card number and the verification code. The supervision department carries out regular examination on adverse events reported by the hospital, proposes an adjustment and modification suggestion, and supervises the hospital to improve the quality of medical service. In the reporting process, related personnel are allowed to carry out limited modification and error correction on the process, for example, a bed number error of a ward caused by carelessness and the like, modification reasons need to be filled in a modification reason column and are commonly identified and stored in a alliance chain, and the overall availability of the system is improved. Due to the fact that multiple rounds of manual approval verification and the increasing and deleting performance of the block chains are achieved, the data after consensus storage cannot be modified any more, and the credibility of the data is guaranteed. The operation of adding, deleting, modifying and checking the native data storage module (103) is automatically and commonly identified and stored in the alliance chain database through an intelligent contract, and traceability of the native medical data operation is guaranteed.
(5) After a large amount of data are stored in the database, the data summarization visual analysis module (108) performs data processing, data analysis and modeling by using artificial intelligence and big data technology on the premise of ensuring privacy, provides improvement suggestions for hospitals and government supervision departments, generates visual reports, visually displays the frequency and the trend of occurrence of adverse medical events, and provides reliable reference for the expansion of subsequent work of the hospitals and the government supervision departments.

Claims (10)

1. A credible medical unhealthy information reporting processing system is characterized by comprising:
the information filling module (101) is used for initially filling the medical bad information, providing a filling template selection for a reporter, facilitating the reporter to quickly fill in the report with a low threshold, and improving the efficiency and the comprehensive filling rate of the medical bad information;
the information approval module (102) is used for approving and transmitting medical bad information and transmitting the bad information approval process to a proper unit for approval;
the native data storage module (103) is used for storing medical data related to the reported bad information, and comprises an EMR database, an HIS database and the like;
the core processing module (104) is a central part of the credible medical bad information reporting processing system, interconnects and intercommunicates all parts of the medical bad information reporting processing system into a whole, and provides basic account registration, account authentication and basic authority control functions;
the alliance chain consensus module (105) is used for packaging bad information of examination and approval and information generated by a reporting process of the bad information, a medical institution and a supervision department form a consensus node group, consensus is achieved by using a PBFT consensus algorithm, data are written into a distributed account book database, and the data cannot be tampered;
the alliance chain storage module (106) is used for storing the reported bad information and a distributed account book database of the circulation approval information generated in the reporting process, performing block chain storage on the data, generating a Mercker tree, ensuring that the data is not tampered and enhancing the credibility of the data;
the alliance chain sharing module (107) is used for sharing data in the alliance chain storage module (106), providing an access control function, recording data operation of a permitted user, ensuring traceability of related data operation and ensuring authority to a person;
the data summarization visual analysis module (108) is used for summarizing the reported adverse information subjected to approval processing and generating a visual report, so that a health supervision department can conveniently master the occurrence frequency and trend of adverse medical events to formulate a targeted policy;
the WeChat service signal interface (109) provides the functions of event reporting, process inquiring and to-do pushing, reduces the use threshold of a user, improves the usability of the whole system and improves the whole operation efficiency of the process;
the Chinese infectious disease and emergent public health incident monitoring information system interface (110) is used for rapidly and directly reporting the bad information such as infectious disease and emergent public health incident and the like to the Chinese infectious disease and emergent public health incident monitoring system;
the system comprises an information filling module (101), an information approval module (102), a native data storage module (103), a core processing module (104), a alliance chain consensus module (105), an alliance chain storage module (106), an alliance chain sharing module (107), a data gathering visual analysis module (108), a micro-signal service signal interface (109) and a Chinese infectious disease and public health incident monitoring information system interface (110) which are connected through a wired network or a wireless network.
2. The system as claimed in claim 1, wherein the information reporting module (101) provides the reporter with a choice of reporting templates, including three types of templates, namely a commonly used bad information reporting template, an infectious disease and emergency public event reporting template, and a custom reporting template.
3. The credible medical adverse information reporting processing system according to claim 1, wherein the information approval module (102) provides approval and forwarding functions, and forwards the adverse information data submitted by the reporter to a suitable approver, and the approver gives approval opinions within the authority range and forwards the approval opinions beyond the authority threshold range to a higher authority department until the event is finally qualified, thereby ending the medical adverse information reporting process.
4. The credible medical adverse information reporting processing system as claimed in claim 1, wherein the native data storage module (103) stores medical data related to the reported adverse information, the medical data comprises an EMR database, an HIS database and the like, a large-volume file in the adverse information is stored in a hospital internal database and is backed up, and operation information such as addition, deletion, modification and check of the database is finally stored in a federation chain distributed ledger database, so that data security and operation credibility traceability of the native data storage module (103) are enhanced.
5. The system for reporting and processing the credible medical bad information as claimed in claim 1, wherein the core processing module (104) is a central part of the credible medical bad information reporting and processing system, and interconnects and intercommunicates the credible medical bad information reporting and processing system into a whole, and provides basic account registration, account authentication and basic authority control functions, and coordinates and processes information flow of three typical information flows of information of a medical institution, information of a medical institution to a supervision department and information of supervision departments at different levels.
6. The credible medical bad information reporting processing system as claimed in claim 1, wherein the alliance chain storage module (106) is a distributed account book database, data is in a block chain structure, a merkel tree is generated by using a hash algorithm, the data is guaranteed not to be tampered, the data stored in the database mainly comprises bad information reported by a reporter and data generated in a bad information approval process, data adding and deleting modification operation data related to the bad information in the native data storage module (103), data operation information in the alliance chain storage module (106) is allowed to be requested by a user to view in the alliance chain storage module (107), and the data gathering visualization analysis module (108) generates data used by a visualization report.
7. The system for reporting and processing the credible unhealthy medical information as claimed in claim 1, wherein the alliance chain sharing module (107) is configured to share data in the alliance chain storage module (106), establish an access rule, perform strict authority control on a permitted user, and protect user privacy; and recording and storing operation data such as data query of the permitted user to the alliance chain data storage module (106) so as to ensure the traceability of data operation.
8. The credible medical adverse information reporting processing system according to claim 1, wherein the data summarizing visualization analysis module (108) summarizes the reported adverse information for examination and approval by applying big data and artificial intelligence technology, proposes improvement suggestions, generates a visual report, vividly presents the frequency and the trend of occurrence of medical adverse events, enhances the mastery of medical supervision departments on the actual situations of the medical adverse events, makes a targeted policy and policy, improves the overall operation efficiency of the medical health system, and provides better medical service quality for people.
9. The system as claimed in claim 1, wherein the wechat service interface (109) has the following functions: 201) pushing backlogs, namely pushing the flow backlog to be processed and approved, and prompting related responsible personnel to perform timely approval processing on the flow, so that the overall operation efficiency of the flow is improved; 202) a button for rapidly filling bad information is provided through a WeChat service number menu, and a common bad information reporting template is provided, so that workers can conveniently and rapidly fill bad information, and the threshold for filling bad information is greatly reduced; 203) the method provides a simple data query function, can quickly query the state of the flow in the approved or approved process of the account, enhances the data utilization rate and improves the daily work efficiency.
10. The credible medical adverse information reporting processing system as claimed in claim 1, wherein the China infectious disease and public health incident monitoring information system interface (110) is directly connected with the China infectious disease and public health incident monitoring system, so that adverse information such as infectious diseases and public health incidents can be rapidly and directly reported to the China infectious disease and public health incident monitoring system, and the China infectious disease and public health incident monitoring system is networked nationwide, so that adverse events can be rapidly responded, and adverse consequences caused by the adverse health incidents can be reduced.
CN202110376348.0A 2021-04-02 2021-04-02 Credible medical bad information reporting processing system Pending CN113066563A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113705963A (en) * 2021-07-16 2021-11-26 福建省海洋预报台 Offshore emergency method and terminal
CN115101179A (en) * 2022-06-23 2022-09-23 卫宁健康科技集团股份有限公司 Expense monitoring method and device caused by medical adverse event and electronic equipment
CN117352188A (en) * 2023-12-06 2024-01-05 北京中兴正远科技有限公司 Clinical information sharing method and system based on big data analysis

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105791416A (en) * 2016-04-13 2016-07-20 山东省立医院 Medical device administration event report and safety early warning information orientation transmission system
CN105976291A (en) * 2016-05-30 2016-09-28 镇江市第人民医院 Hospital adverse event reporting processing system and hospital adverse event reporting processing method
CN108010576A (en) * 2018-01-22 2018-05-08 山东省药品不良反应监测中心 A key generation method and system for medical instrument failure classes adverse events report
CN109065101A (en) * 2018-06-20 2018-12-21 广州中国科学院软件应用技术研究所 Clinical drug trial monitoring method, system, equipment and medium based on block chain
CN109326337A (en) * 2018-09-06 2019-02-12 西安电子科技大学 Electronic medical record storage and shared model and method based on block chain
CN109637637A (en) * 2017-10-20 2019-04-16 北京航空航天大学 Medical management system based on block chain
CN110400642A (en) * 2019-06-12 2019-11-01 梁胤豪 A kind of medical data shared system and design method based on block chain technology
CN111627542A (en) * 2020-05-29 2020-09-04 深圳市易链信息技术有限公司 Block chain-based medical information sharing method, system and readable storage medium
CN112216403A (en) * 2020-11-27 2021-01-12 温州市人民医院 System and method for improving adverse reaction reporting rate of clinical drugs
CN112565289A (en) * 2020-12-21 2021-03-26 北京航空航天大学 System and method for credible issuing and verifying of medical certificate based on block chain

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105791416A (en) * 2016-04-13 2016-07-20 山东省立医院 Medical device administration event report and safety early warning information orientation transmission system
CN105976291A (en) * 2016-05-30 2016-09-28 镇江市第人民医院 Hospital adverse event reporting processing system and hospital adverse event reporting processing method
CN109637637A (en) * 2017-10-20 2019-04-16 北京航空航天大学 Medical management system based on block chain
CN108010576A (en) * 2018-01-22 2018-05-08 山东省药品不良反应监测中心 A key generation method and system for medical instrument failure classes adverse events report
CN109065101A (en) * 2018-06-20 2018-12-21 广州中国科学院软件应用技术研究所 Clinical drug trial monitoring method, system, equipment and medium based on block chain
CN109326337A (en) * 2018-09-06 2019-02-12 西安电子科技大学 Electronic medical record storage and shared model and method based on block chain
CN110400642A (en) * 2019-06-12 2019-11-01 梁胤豪 A kind of medical data shared system and design method based on block chain technology
CN111627542A (en) * 2020-05-29 2020-09-04 深圳市易链信息技术有限公司 Block chain-based medical information sharing method, system and readable storage medium
CN112216403A (en) * 2020-11-27 2021-01-12 温州市人民医院 System and method for improving adverse reaction reporting rate of clinical drugs
CN112565289A (en) * 2020-12-21 2021-03-26 北京航空航天大学 System and method for credible issuing and verifying of medical certificate based on block chain

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113705963A (en) * 2021-07-16 2021-11-26 福建省海洋预报台 Offshore emergency method and terminal
CN115101179A (en) * 2022-06-23 2022-09-23 卫宁健康科技集团股份有限公司 Expense monitoring method and device caused by medical adverse event and electronic equipment
CN117352188A (en) * 2023-12-06 2024-01-05 北京中兴正远科技有限公司 Clinical information sharing method and system based on big data analysis
CN117352188B (en) * 2023-12-06 2024-02-27 北京中兴正远科技有限公司 Clinical information sharing method and system based on big data analysis

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