Tumor standardized whole-course management system based on digitization

Abstract

The invention discloses a tumor standardized whole-course management system based on digitization, and relates to the technical field of medical information. Comprising a personnel management module, a system management module, a diagnosis and treatment specification module, a tumor specification diagnosis and treatment training and examination module, a TNM staging module, an anti-tumor drug prescription right oriented application module, an anti-tumor drug data real-time monitoring module, a tumor treatment medical record supervision module and a tumor medical conjoined module. According to the method, the working efficiency of a team is improved by managing the individual information and role authority of medical personnel, the treatment scheme is optimized by analyzing the TNM stage data, the information transparency is improved by submitting the prescription right application, and the anti-tumor drug use data of the tumor patient is monitored in real time, so that the anti-tumor effect of the patient is improved. The medical staff can know the use condition of the medicine, the medical records of the tumor patients are randomly selected for spot check, the medical record recording and processing quality is continuously improved, a medical conjoined platform interface is constructed, and the operation efficiency of the whole medical conjoined is improved.

Description

Technical Field

[0001] The present invention relates to the field of medical information technology, and in particular to a digital-based standardized full-process management system for tumors. Background Art

[0002] With the rapid development of modern medical technology, cancer treatment has become the focus of global medical attention. The introduction of digital technology has provided new possibilities for the standardized management of cancer treatment. In recent years, the introduction of technologies such as hospital information systems, electronic medical records and clinical decision support systems has provided a foundation for the digitization and standardization of cancer management. However, existing digital systems still face many challenges in achieving full-process cancer management.

[0003] In the current medical field, the complexity and diversity of tumor treatment require medical institutions to implement efficient and standardized management processes to ensure that patients receive consistent, high-quality treatment. Although the existing electronic medical record systems and hospital information systems have achieved digital storage and management of data to a certain extent, they still have shortcomings in the quality control of standardized tumor diagnosis and treatment. These systems often lack targeted modules to fully cover the specific needs of tumor treatment, such as TNM staging management, anti-tumor drug monitoring, treatment history supervision, and medical alliance collaboration. In addition, there are excessive resource allocation, human operational errors, and lack of transparency in the evaluation of treatment effects. Summary of the invention

[0004] In view of the above problems existing in the existing digital tumor standardized full-process management system, the present invention is proposed.

[0005] Therefore, the problem to be solved by the present invention is that in the current medical field, the complexity and diversity of tumor treatment require medical institutions to implement efficient and standardized management processes to ensure that patients receive consistent, high-quality treatment. Although the existing electronic medical record systems and hospital information systems have achieved digital storage and management of data to a certain extent, they still have shortcomings in the quality control of standardized diagnosis and treatment of tumors. These systems often lack targeted modules to fully cover the specific needs of tumor treatment, such as TNM staging management, anti-tumor drug monitoring, treatment history supervision, and medical alliance collaboration, and there are excessive resource allocation, human operational errors, and lack of transparency in the evaluation of treatment effects.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a digital tumor standardized full-process management system, which includes:

[0007] The personnel management module collects individual information of medical staff and manages the roles and permissions of individual information;

[0008] The system management module traces and supervises hospital policy documents through the system specification platform;

[0009] Diagnosis and treatment standard module: medical staff can learn diagnosis and treatment standards through reading auxiliary tools and assign role account permissions according to work needs;

[0010] Tumor standard diagnosis and treatment training and assessment module: medical staff can study courses and take exams through the online course library, and generate personal learning reports and capability development charts based on the learning results;

[0011] The TNM staging module collects TNM staging data and medical history data of tumor patients based on the hospital information system, analyzes the TNM staging of tumor patients through data records, and generates summary reports regularly;

[0012] The module for targeted application of anti-tumor drug prescription rights is based on the hierarchical management system of ordinary and restricted anti-tumor drugs. Doctors submit electronic prescription rights applications for anti-tumor drugs, and hospital managers can customize the approval process.

[0013] The anti-tumor drug data real-time monitoring module collects the data of anti-tumor drug use by tumor patients in real time, and forms a comprehensive report through multi-dimensional screening and analysis of the use of anti-tumor drugs;

[0014] The tumor treatment medical record inspection module randomly selects tumor patients' medical records, and the medical record inspectors conduct scoring inspections and attach inspection reports to each randomly inspected tumor patient's medical record;

[0015] The tumor medical alliance module builds a responsive medical alliance platform interface, maintains detailed information of medical alliance members, and updates announcements and resource sharing.

[0016] As a preferred solution of the digital standardized tumor management system of the present invention, the individual information of medical staff is collected and the role and authority management of the individual information is performed, including:

[0017] Collect individual information of medical staff based on the electronic personnel files in the hospital, including basic personal information, job information, contact information and professional qualifications;

[0018] Based on the individual information of medical staff, the administrator defines departments, sections and working groups according to the hospital organizational structure. The management levels are divided into four sections from high to low: tumor standardized treatment management committee, tumor standardized treatment management office, hospital-level expert management committee and disease management group;

[0019] The Tumor Standard Treatment Management Committee is the highest-level management body responsible for formulating and supervising tumor treatment standards;

[0020] The Tumor Standardized Treatment Management Office is the executive body responsible for daily standardized treatment management work;

[0021] The hospital-level expert management committee is responsible for guiding the rational clinical use of anti-tumor drugs and pharmaceutical management;

[0022] The disease management team is responsible for the treatment management of specific diseases and the formulation of treatment procedures for the disease;

[0023] Based on the RBAL access control method, role accounts are assigned to medical personnel, including administrator accounts, department director accounts, doctor accounts, nurse accounts, and data analyst accounts. Different permissions are determined according to the different role accounts assigned, including viewing permissions, modification permissions, and deletion permissions.

[0024] Administrator accounts can create medical personnel roles, modify, and delete data; department director accounts can view and modify the data of their departments; doctor accounts can view and modify the data of their disease management groups; nurse accounts and data analyst accounts can view and delete data;

[0025] Based on the ACL fine-grained access control method, entity objects are defined, including tumor patient data, department data, and research report data. An access control list is created for each entity object, which records the permissions that the role account has for the data object.

[0026] Based on the access control list of tumor patient data, the administrator account has the permission to view, modify, and delete; the department director account has the permission to view and modify; the doctor account has the permission to view and modify; the nurse account and data analyst account only have the permission to view;

[0027] When the medical staff's role account changes, their permissions will be dynamically updated.

[0028] As a preferred solution of the digital tumor standardized full-process management system of the present invention, the hospital policy documents are traced and supervised through the system standardization platform, including:

[0029] Build a regulatory compliance platform through PostgreSQL database, Elasticsearch search engine, and Splunk data analysis platform;

[0030] Based on the PostgreSQL database, medical staff upload hospital policy files, which are reviewed and officially released when they pass the review. Each released hospital policy file carries a version update record, including the modifier and timestamp;

[0031] Based on hospital policy documents, medical staff use semantic association and keyword search through the Elasticsearch search engine to provide corresponding search results, highlight keywords in the search results, assist medical staff in locating corresponding content, and filter according to document category, release time, and department, assisting medical staff in quickly locating relevant hospital policy documents;

[0032] The Splunk data analysis platform records the query, viewing and downloading operations of medical personnel in real time and generates a medical personnel activity log.

[0033] As a preferred solution of the digital tumor standardized full-process management system described in the present invention, the medical staff learns the diagnosis and treatment standards through reading auxiliary tools and allocates role account permissions according to work needs, including:

[0034] Based on the TinyMCE visual editor, it provides predefined editing templates that support text, image and video embedding, table and chart multimedia elements. Medical experts use editing templates to write and revise diagnosis and treatment specifications.

[0035] Based on the Readwise reading assistance tool, medical staff can automatically save their progress when studying diagnosis and treatment standard documents. The content of diagnosis and treatment standard documents is analyzed by natural language processing technology to automatically generate a summary of the diagnosis and treatment standard documents, assisting medical staff to quickly understand the subject content of the diagnosis and treatment standard. Medical staff can also be allowed to select text and highlight it. The highlight has different colors and styles to distinguish different types of text.

[0036] Assign medical staff role accounts through the RBAL access control method, including hospital director accounts, department director accounts, medical expert accounts, doctor accounts, and nurse accounts. Formulate account permissions based on the work requirements of medical staff roles, including reading, editing, and approval permissions;

[0037] The hospital dean's account and department director's account have the authority to read, edit and approve diagnosis and treatment standards. The medical expert's account has the authority to read and edit diagnosis and treatment standards. The doctor's account and nurse's account only have the authority to read diagnosis and treatment standards.

[0038] As a preferred solution of the digital standardized tumor management system of the present invention, the medical staff conducts course learning and examination evaluation through the online course library, and generates personal learning reports and ability development charts according to the learning results, including:

[0039] Based on the CMS content management system software, an online course library is built by combining historical case analysis audio files, the latest industry dynamics, medical operation technology explanation videos and policy interpretation graphic materials. Courses are classified according to professional fields and difficulty levels, and medical staff can choose appropriate courses to study according to their own needs and levels;

[0040] After completing the course, there will be a course exam. The course exam includes a variety of question types and is divided into three difficulty levels: low, medium, and high. Medical staff can choose the difficulty level by themselves. The course knowledge points in the low-level course exam are 60% of the corresponding course content, the course knowledge points in the medium-level course exam are 80% of the corresponding course content, and the course knowledge points in the high-level course exam are 100% of the corresponding course content. A course exam result of Q is considered to be a pass;

[0041] If the medical staff chooses to take the low-level course examination, if the result of the low-level course examination is lower than Q, it is considered as unqualified. The medical staff shall retake the low-level course examination until the result is greater than Q. If the result of the low-level course examination is greater than or equal to Q, it is considered as qualified. The medical staff shall continue to complete the middle and high-level course examinations of the corresponding courses in sequence;

[0042] If the medical staff chooses to take the mid-level course examination, if the result of the mid-level course examination is lower than Q, it is considered as unqualified. The medical staff shall retake the mid-level course examination until the result is greater than Q. If the result of the mid-level course examination is greater than or equal to Q, it is considered as qualified. The medical staff shall continue to complete the high-level course examination of the corresponding course in sequence;

[0043] If medical staff choose to take the advanced course examination, if the result of the advanced course examination is lower than Q, it is considered as unqualified. They need to take the advanced course examination again until the result is greater than Q. If the result of the advanced course examination is greater than or equal to Q, it is considered as qualified. After passing the examination, they can study other courses;

[0044] In the course examination, passing the high-level course examination is the assessment standard for completing the course study. When medical staff complete the high-level course examination and pass it, it means that the corresponding course study has been completed;

[0045] Based on the course learning results of medical staff, personal learning reports and competency development charts are generated through the LMS learning management system software;

[0046] The content of the personal study report includes study time, course study progress, course score distribution and knowledge points mastered, course exam times, and course exam answer status;

[0047] The competency development chart visually displays the competency development trends of medical staff in the form of charts, assists medical staff in understanding their learning outcomes, and provides a reference for their career planning and continuing education.

[0048] As a preferred solution of the digital standardized tumor management system of the present invention, the hospital information system is used to collect TNM staging data and medical history data of tumor patients, analyze the TNM staging of tumor patients through data records, and regularly generate summary reports, including:

[0049] Hospital Information System A comprehensive information system used to manage the daily business and operations of a hospital;

[0050] The TNM staging data and medical history data of tumor patients were collected based on the hospital information system. The TNM staging situation consists of three parts: primary tumor, regional lymph nodes, and distant metastasis;

[0051] The primary tumor is expressed as:

[0052] T∈{T0,T1,T2,T3,T4}

[0053] Among them, T0 means no primary tumor, T1 means the tumor is small and confined to the primary site, T2 means the tumor is large and has not spread to adjacent tissues, T3 means the tumor has spread to adjacent tissues, and T4 means the tumor has spread to adjacent organs;

[0054] Regional lymph nodes are represented as:

[0055] N∈{N0,N1,N2,N3}

[0056] Among them, N0 means no lymph node involvement, N1 means a few lymph nodes are involved, N2 means a large number of lymph nodes are involved, and N3 means extensive lymph node involvement;

[0057] Distant metastasis is represented by:

[0058] M∈{M0,M1}

[0059] Among them, M0 means no distant metastasis, and M1 means distant metastasis;

[0060] Based on the TNM staging data of tumor patients, the Chart.js data visualization library is used to record and display the TNM staging data of patients, provide detailed lists, line charts to show time trends, and fan charts and pie charts to show the proportions of different stages;

[0061] Based on the TNM staging data records of tumor patients, the first dimension is defined according to departments, wards, and diseases. Through multi-dimensional data slicing data analysis technology, the TNM staging data is screened and sliced ​​based on the first dimension. The TNM staging distribution of tumor patients in different departments, the TNM staging data of tumor patients in different wards, and the TNM staging of tumor types of different tumor patients are compared. Tumor patients are distinguished based on different departments, and the TNM staging data of tumor patients with different diseases and the TNM staging data of tumor patients in different wards are summarized for analysis;

[0062] Based on the JasperReports report generation tool, the filtered and analyzed data is exported to generate a summary report.

[0063] As a preferred solution of the digital standardized tumor management system of the present invention, the hierarchical management system based on the general and restricted levels of anti-tumor drugs, doctors submit electronic prescription rights applications for anti-tumor drugs, and hospital managers can customize the approval process, including:

[0064] Based on the hierarchical management system of ordinary and restricted anti-tumor drugs, doctors prescribe a list of required anti-tumor drugs according to the patient's condition and fill out an electronic form to submit an application for prescription rights. The electronic form includes the applicant's name, work number, professional title level, assessment status and anti-tumor drug list;

[0065] The application for prescription rights is customized according to the hospital's process requirements and regulations. The application for the use of anti-tumor drugs by doctors is matched with the corresponding approval process. The approval process includes two modes: parallel approval and serial approval.

[0066] Parallel approval is carried out by multiple approval departments and sections at the same time, while serial approval is carried out in order from low to high. After the approval of the corresponding department is completed, it will enter the approval of the next department, and the approval result of the corresponding department will be automatically forwarded to the relevant personnel of the approval process;

[0067] During the approval process, the approval status changes will be pushed to the applicant in real time. The approval status includes unapproved status, under approval status, approved status, and rejected status.

[0068] The unapproved status means that the approval process has not started after the applicant submitted the prescription rights application;

[0069] The status of "under review" means that the approval process begins after the applicant submits the prescription right application, and the corresponding reviewer is reviewing the content;

[0070] The approved status means that after the applicant submits the prescription right application, the corresponding review personnel approve it;

[0071] The approval rejection status means that after the applicant submits the prescription rights application, the corresponding approval personnel have objections to the list of anti-tumor drugs and refuse to approve it;

[0072] When the approval is completed, medical personnel will use anti-tumor drugs for cancer patients based on the list of anti-tumor drugs applied for prescription rights.

[0073] As a preferred solution of the digital standardized tumor management system of the present invention, the real-time collection of anti-tumor drug use data of tumor patients, and the formation of a comprehensive report through multi-dimensional screening and analysis of the use of anti-tumor drugs, include:

[0074] The hospital information system and pharmacy management system are used to collect real-time data on the use of anti-tumor drugs by cancer patients, including the types and prices of anti-tumor drugs and the condition of cancer patients;

[0075] Based on the data of anti-tumor drug use by tumor patients, Tableau data visualization tool is used to generate charts and data tables to dynamically display the use, trends and statistical summaries of anti-tumor drugs;

[0076] Medical staff screen and analyze the use data of anti-tumor drugs according to departments, wards, time periods, and drug types to understand the use patterns and trends of anti-tumor drugs;

[0077] Based on the historical data repository, medical staff compared the use of anticancer drugs in different time periods, displayed the monthly anticancer drug use numbers through line graphs, and identified changes in use trends;

[0078] Based on the JasperReports report generation tool, the number of anti-tumor drugs used by tumor patients is used to generate a report on the use of anti-tumor drugs by tumor patients, which includes specific data analysis results and charts. Based on the report on the use of anti-tumor drugs by tumor patients, clinicians are guided to adjust the medication plan.

[0079] As a preferred solution of the digital standardized tumor management system of the present invention, the medical records of tumor patients are randomly selected, and the medical record inspectors conduct scoring inspections, and attach an inspection report to each sampled tumor patient's medical record, including:

[0080] Based on the medical records of tumor patients, the medical records of tumor patients in different departments were randomly selected through stratified sampling method, which is expressed as:

[0081]

[0082] Among them, A is the total number of medical records of tumor patients, A i represents the number of tumor patient medical records in department i, L represents the number of departments, a represents the number of tumor patient medical records extracted, and ai represents the number of medical records of tumor patients extracted by department i;

[0083] The medical records of tumor patients in different departments are extracted and expressed as:

[0084] S i ={s i1 ,s i2 ,s i2 ,…s in};

[0085]

[0086] Among them, S i represents a random selection a from department i i A number of medical records of cancer patients, S represents the number of medical records of cancer patients extracted from different departments;

[0087] Based on the medical records of randomly selected cancer patients, a comprehensive evaluation system was constructed to determine key indicators, including medical record completeness, diagnostic accuracy, treatment plan compliance, drug management, surgery and treatment records, follow-up and nursing records, patient safety, and document standardization;

[0088] Supervisors score cancer patients based on key indicators during treatment, and the summary score is a comprehensive score of the cancer patient's medical record, expressed as:

[0089]

[0090] Among them, H t is the comprehensive score of the tumor patient's medical history, n is the number of key indicators, H i Score the i-th key indicator of the tumor patient's medical record, ω i is the weight of the i-th key indicator of the tumor patient's medical record;

[0091] Set the judgment threshold F and the comprehensive score H of the tumor patient's medical history t Compare and judge the quality of medical records of tumor patients:

[0092] H t When it is greater than or equal to F, it means that the comprehensive score of the tumor patient's medical record is high, most key indicators perform well, and the overall quality of the tumor patient's medical record is high;

[0093] H t When it is less than F, it means that the comprehensive score of the tumor patient's medical record is low, most key indicators perform poorly, and the quality of the tumor patient's medical record is low;

[0094] Based on the comprehensive score of tumor patients' medical records, the Tableau data visualization tool is used to display the comprehensive score results and trends of medical records in the form of charts and data tables to find problems in the quality of medical records. The second dimension is defined according to departments, wards, and physicians. Through multi-dimensional data analysis technology, inspectors screen low-scoring key indicators in medical records based on the second dimension, find problems based on the document records of low-scoring key indicators, and optimize treatment plans;

[0095] Based on H t For tumor patients whose medical records are less than F, notify relevant medical staff to review the treatment process, pay full attention to the scoring results of various key indicators, provide corresponding corrective measures according to the review content, enter the corrective measures after the review into the key indicators, follow up the subsequent results of the corrective measures and re-score, record the corrective measures steps and subsequent follow-up scoring results;

[0096] Generate inspection reports based on JasperReports report generation tool, including the scoring results of key indicators and rectification status, for internal audit and external inspection.

[0097] As a preferred solution of the digital standardized tumor management system of the present invention, the medical alliance platform interface is constructed to maintain detailed information of medical alliance members, update announcements and share resources, including:

[0098] Medical alliance members include medical staff involved in the process of treating cancer patients;

[0099] The medical alliance platform interface is built using the React modern JavaScript library and the Vue progressive JavaScript framework, including member information management, notifications and announcements, and resource sharing libraries;

[0100] Member information management includes each medical alliance member's hospital profile, professional field, contact information, and responsibilities in the medical alliance, which is updated in real time according to changes in medical personnel during the treatment of tumor patients;

[0101] Notices and announcements classify information, including policy information, activity notification information, and emergency information, and receive and send internal notices and information among medical alliance members;

[0102] The resource sharing library shares the latest medical resources for members of the oncology medical alliance, including research reports, treatment guidelines, and teaching materials. Members of the medical alliance disseminate knowledge and improve their professional skills based on the sharing of medical resources.

[0103] The beneficial effects of the present invention are as follows: through the management of individual information and role authority of medical staff, the division of authority and collaboration mechanism between different roles, the work efficiency and communication effect of the team are improved; through the system specification platform, it is helpful to monitor the use of policy documents and ensure the transparent implementation of policies; through reading auxiliary tools, the continuity and convenience of learning diagnosis and treatment standards are improved; through the constructed online course library, it is helpful to expand professional knowledge and formulate reasonable career plans for medical staff; through the analysis and management of TNM staging data, the changes in patients' conditions are grasped, which helps to discover potential treatment differences and optimize treatment plans; by filling out electronic forms to submit prescription rights applications, information transparency is improved and patient waiting time is reduced; through real-time monitoring of the data of tumor patients using anti-tumor drugs, it is helpful for medical staff to quickly understand the overall situation of drug use and inventory management; by randomly selecting tumor patients' medical records for spot checks, it is helpful to reduce medical errors and continuously improve the quality of medical record recording and processing; a medical alliance platform interface is constructed to improve communication efficiency, resource sharing and professional development among medical alliance members, thereby improving the operating efficiency and service quality of the entire medical alliance. BRIEF DESCRIPTION OF THE DRAWINGS

[0104] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0105] Figure 1 This is the structural diagram of the digital-based standardized full-process tumor management system.

[0106] Figure 2 This is one of the screenshot examples of the user interface of the online question bank.

[0107] Figure 3 This is a flow chart of the TNM staging module based on the digital standardized tumor management system.

[0108] Figure 4 This is a flow chart of the module for targeted application of anti-tumor drug prescription rights based on the digital standardized tumor management system.

[0109] Figure 5 The present invention is an example of a flowchart for approving the opening of prescription rights in a specific implementation method.

[0110] Figure 6 This is a flow chart of the real-time monitoring module for anti-tumor drug data based on the digital standardized tumor management system.

[0111] Figure 7This is a flow chart of the tumor treatment history supervision module based on the digital tumor standardized full-process management system. DETAILED DESCRIPTION

[0112] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below in conjunction with the accompanying drawings.

[0113] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0114] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor is it a separate or selective embodiment that is mutually exclusive with other embodiments.

[0115] Example 1

[0116] Reference Figure 1 , which is the first embodiment of the present invention, and provides a digital-based standardized full-process tumor management system, which includes:

[0117] The personnel management module collects individual information of medical staff and manages the roles and permissions of individual information;

[0118] The system management module traces and supervises hospital policy documents through the system specification platform;

[0119] Diagnosis and treatment standard module: medical staff can learn diagnosis and treatment standards through reading auxiliary tools and assign role account permissions according to work needs;

[0120] Tumor standard diagnosis and treatment training and assessment module: medical staff can study courses and take exams through the online course library, and generate personal learning reports and capability development charts based on the learning results;

[0121] The TNM staging module collects TNM staging data and medical history data of tumor patients based on the hospital information system, analyzes the TNM staging of tumor patients through data records, and generates summary reports regularly;

[0122] The module for targeted application of anti-tumor drug prescription rights is based on the hierarchical management system of ordinary and restricted anti-tumor drugs. Doctors submit electronic prescription rights applications for anti-tumor drugs, and hospital managers can customize the approval process.

[0123] The anti-tumor drug data real-time monitoring module collects the data of anti-tumor drug use by tumor patients in real time, and forms a comprehensive report through multi-dimensional screening and analysis of the use of anti-tumor drugs;

[0124] The tumor treatment medical record inspection module randomly selects tumor patients' medical records, and the medical record inspectors conduct scoring inspections and attach inspection reports to each randomly inspected tumor patient's medical record;

[0125] The tumor medical alliance module builds a responsive medical alliance platform interface, maintains detailed information of medical alliance members, and updates announcements and resource sharing.

[0126] The method for performing standardized full-process management of tumors using the above-mentioned digital standardized full-process management system for tumors includes the following steps:

[0127] S1, collect individual information of medical staff and manage roles and permissions of individual information;

[0128] Preferably, the individual information of medical staff is collected, and the role and authority management of the individual information is performed, including:

[0129] Collect individual information of medical staff based on the electronic personnel files in the hospital. The individual information includes basic personal information (name, gender, work number, department), job information (current position, time of employment, rank), contact information (telephone, email) and professional qualifications;

[0130] Based on the individual information of medical staff, the administrator defines departments, sections and working groups according to the hospital organizational structure. The management levels are divided into four sections from high to low: tumor standardized treatment management committee, tumor standardized treatment management office, hospital-level expert management committee and disease management group;

[0131] The Tumor Standard Treatment Management Committee is the highest-level management body responsible for formulating and supervising tumor treatment standards;

[0132] The Tumor Standardized Treatment Management Office is the executive body responsible for daily standardized treatment management work;

[0133] The hospital-level expert management committee is responsible for guiding the rational clinical use of anti-tumor drugs and pharmaceutical management;

[0134] The disease management team is responsible for the treatment management of specific diseases and the formulation of treatment procedures for the disease;

[0135] Based on the RBAL access control method, role accounts are assigned to medical personnel, including administrator accounts, department director accounts, doctor accounts, nurse accounts, and data analyst accounts. Different permissions are determined according to the assigned role accounts, including view (read-only) permissions, modify permissions, and delete permissions.

[0136] Administrator accounts can create medical personnel roles, modify, and delete data; department director accounts can view and modify the data of their departments; doctor accounts can view and modify the data of their disease management groups; nurse accounts and data analyst accounts can view and delete data;

[0137] Based on the ACL fine-grained access control method, entity objects are defined, including tumor patient data, department data, and research report data. An access control list is created for each entity object, which records the permissions that the role account has for the data object.

[0138] Based on the access control list of tumor patient data, the administrator account has the permission to view, modify, and delete; the department director account has the permission to view and modify; the doctor account has the permission to view and modify; the nurse account and data analyst account only have the permission to view;

[0139] When the medical staff's role account changes, their permissions will be dynamically updated.

[0140] By collecting individual information of medical staff through electronic personnel files, personnel files can be quickly established and updated, which improves management efficiency. By dividing the management level from high to low into four sections, the responsibilities of management agencies at all levels are clarified. This division of labor helps to improve work efficiency and avoid overlapping responsibilities and management vacuums. By managing permissions for different roles and data objects, it ensures that only authorized personnel can access, modify or delete relevant data. Fine-grained access control effectively protects the security of patient data and research reports, and prevents unauthorized access and data leakage. The dynamic permission management method not only reduces the risk of errors caused by manual intervention, but also responds to personnel changes in a timely manner and maintains the consistency and accuracy of system permissions. The authority division and collaboration mechanism between different roles improve the team's work efficiency and communication effectiveness. Through the systematic management of medical staff information and fine-grained control of data permissions, the management can better understand the work situation of each department and personnel, make scientific decisions and optimize management. At the same time, the access logs and operation records generated by the system provide data support for subsequent audits and supervision, which helps to continuously improve and enhance the management level.

[0141] S2, trace and supervise hospital policy documents through the system regulation platform;

[0142] Preferably, hospital policy documents are traced and supervised through the system regulation platform, including:

[0143] Build a regulatory compliance platform through PostgreSQL database, Elasticsearch search engine, and Splunk data analysis platform;

[0144] Based on the PostgreSQL database, medical staff upload hospital policy documents in multiple formats (PDF, DOCX, HTML). The uploaded hospital policy documents are reviewed and officially released when they pass the review. Each released hospital policy document carries a version update record, including the modifier and timestamp;

[0145] Based on hospital policy documents, medical staff use semantic association and keyword search through the Elasticsearch search engine to provide corresponding search results, highlight keywords in the search results, assist medical staff in locating corresponding content, and filter according to document category, release time, and department, assisting medical staff in quickly locating relevant hospital policy documents;

[0146] The Splunk data analysis platform records the query, viewing and downloading operations of medical personnel in real time and generates a medical personnel activity log.

[0147] Hospital policy documents are managed uniformly through the PostgreSQL database. Based on the process of file upload, review and release, manual operation errors and time costs are reduced. Multiple file formats are supported to ensure that medical staff can easily upload and access policy documents. The review mechanism ensures that the content of uploaded policy documents is accurate and avoids the spread of erroneous information. Version update records and timestamps help track the modification history of files to ensure that medical staff always refer to the latest policy documents. By using the semantic association and keyword search functions of the Elasticsearch search engine, medical staff can quickly find the required policy documents and improve work efficiency. The keyword highlighting and filtering functions in the search results help medical staff locate relevant content more accurately and save search time. The Splunk data analysis platform records the query, viewing and download operations of medical staff and generates activity logs, which helps monitor the use of policy documents and ensure transparent implementation of policies. Activity logs can also be used for audits and compliance checks to ensure that the management of hospital policy documents complies with relevant regulations and standards.

[0148] S3, medical staff learn diagnosis and treatment standards through reading auxiliary tools and assign role account permissions according to work needs;

[0149] Preferably, medical staff learn diagnosis and treatment standards through reading auxiliary tools, and assign role account permissions according to work needs, including,

[0150] Based on the TinyMCE visual editor, it provides predefined editing templates that support text, image and video embedding, table and chart multimedia elements. Medical experts use editing templates to write and revise diagnosis and treatment specifications.

[0151] Based on the Readwise reading assistance tool, medical staff can automatically save their progress when studying diagnosis and treatment standard documents. When they return to read, the reading interface quickly jumps to the place where they left last time. Annotations can be added based on the key points of the reading interface for personal marking and team communication. The diagnosis and treatment standard document content is analyzed through natural language processing (NLP) technology to automatically generate a summary of the diagnosis and treatment standard document, assisting medical staff to quickly understand the subject content of the diagnosis and treatment standard, and allowing medical staff to select text and highlight it. The highlight has different colors and styles to distinguish different types of text.

[0152] Assign medical staff role accounts through the RBAL access control method, including hospital director accounts, department director accounts, medical expert accounts, doctor accounts, and nurse accounts. Formulate account permissions based on the work requirements of medical staff roles, including reading, editing, and approval permissions;

[0153] The hospital dean's account and department director's account have the authority to read, edit and approve diagnosis and treatment standards. The medical expert's account has the authority to read and edit diagnosis and treatment standards. The doctor's account and nurse's account only have the authority to read diagnosis and treatment standards.

[0154] By using the TinyMCE visual editor, medical experts can use predefined editing templates to easily write and revise diagnosis and treatment specifications. By embedding a variety of multimedia elements, the content of diagnosis and treatment specifications is made richer and more intuitive, which helps to improve the quality and readability of diagnosis and treatment specifications. Through the Readwise reading aid tool, medical personnel can automatically save their reading progress when studying diagnosis and treatment specification documents, which improves the continuity and convenience of learning. Through the annotation and highlighting functions, medical personnel can mark and comment in the process of learning and using diagnosis and treatment specifications, which promotes communication and collaboration among team members. Highlights of different colors and styles help team members quickly identify and focus on key content, enhancing the effectiveness of knowledge sharing and collaborative work. Document summaries provide team members with a convenient reference, which helps to quickly reach consensus and make decisions. Through RBAL, medical personnel role account permissions are assigned to ensure that the operating permissions of each role in the system are clear and appropriate. This detailed permission management method not only ensures data security and prevents unauthorized editing and modification, but also ensures the reasonable circulation and confidentiality of diagnosis and treatment knowledge.

[0155] S4, medical staff conduct course learning and examination assessment through the online course library, and generate personal learning reports and capability development maps based on the learning results;

[0156] Preferably, medical staff conduct course learning and examination evaluation through the online course library, and generate personal learning reports and ability development charts based on the learning results. One of the screenshot examples of the user interface of the online course library is as follows: Figure 2 shown.

[0157] Based on the CMS content management system software, an online course library is built by combining historical case analysis audio files, the latest industry dynamics, medical operation technology explanation videos, and policy interpretation graphic materials. Courses are classified according to professional fields (tumor types) and difficulty levels (simple, general, difficult), and medical staff can choose appropriate courses to study according to their own needs and levels;

[0158] After completing the course, a course examination will be conducted. The course examination includes a variety of question types (multiple-choice questions, fill-in-the-blank questions, short-answer questions) and is divided into three difficulty levels: low, medium, and high. Medical staff can choose the difficulty level by themselves. The course knowledge points in the low-level course examination are 60% of the corresponding course content, the course knowledge points in the medium-level course examination are 80% of the corresponding course content, and the course knowledge points in the high-level course examination are 100% of the corresponding course content. The course examination result reaches Q (full score 80%) to be considered as passing the examination;

[0159] If the medical staff chooses to take the low-level course examination, if the result of the low-level course examination is lower than Q, it is considered as unqualified. The medical staff shall retake the low-level course examination until the result is greater than Q. If the result of the low-level course examination is greater than or equal to Q, it is considered as qualified. The medical staff shall continue to complete the middle and high-level course examinations of the corresponding courses in sequence;

[0160] If the medical staff chooses to take the mid-level course examination, if the result of the mid-level course examination is lower than Q, it is considered as unqualified. The medical staff shall retake the mid-level course examination until the result is greater than Q. If the result of the mid-level course examination is greater than or equal to Q, it is considered as qualified. The medical staff shall continue to complete the high-level course examination of the corresponding course in sequence;

[0161] If medical staff choose to take the advanced course examination, if the result of the advanced course examination is lower than Q, it is considered as unqualified. They need to take the advanced course examination again until the result is greater than Q. If the result of the advanced course examination is greater than or equal to Q, it is considered as qualified. After passing the examination, they can study other courses;

[0162] In the course examination, passing the high-level course examination is the assessment standard for completing the course study. When medical staff complete the high-level course examination and pass it, it means that the corresponding course study has been completed;

[0163] Based on the course learning results of medical staff, personal learning reports and competency development charts are generated through the LMS learning management system software;

[0164] The content of the personal study report includes study time, course study progress, course score distribution and knowledge points mastered, course exam times, and course exam answer status;

[0165] The competency development chart visually displays the competency development trends of medical staff in the form of charts, assists medical staff in understanding their learning outcomes, and provides a reference for their career planning and continuing education.

[0166] The online course library built through the CMS content management system software helps medical staff to systematically update and expand their professional knowledge. Through systematic and enriched learning resources, it helps medical staff to improve their professional knowledge and skills in an all-round and multi-angle manner. Medical staff can choose appropriate courses according to their own needs and levels to improve learning efficiency and pertinence. Course exams include a variety of question types and difficulty levels to meet the needs of learners at different levels. By setting exams of different difficulty levels and passing standards, medical staff are encouraged to constantly challenge themselves, improve their learning motivation and professional ability. The LMS learning management system software can comprehensively analyze the course learning results of medical staff. Medical staff can intuitively see their learning progress, course score distribution and knowledge points. The career planning reference helps medical staff to formulate reasonable career plans and continuing education plans. Hospital managers can also better understand the learning and development of medical staff and provide a basis for talent training and management decisions.

[0167] S5, such as Figure 3 As shown, the TNM staging data and medical history data of tumor patients are collected based on the hospital information system, the TNM staging of tumor patients is analyzed through data records, and summary reports are generated regularly;

[0168] Preferably, the TNM staging data and medical history data of tumor patients are collected based on the hospital information system, the TNM staging of tumor patients is analyzed through data records, and summary reports are generated regularly, including:

[0169] Hospital Information System (HIS) is a comprehensive information system used to manage the daily business and operations of a hospital;

[0170] The TNM staging data and medical history data of tumor patients were collected based on the hospital information system (HIS). The TNM staging situation consists of three parts: primary tumor (T), regional lymph nodes (N), and distant metastasis (M);

[0171] The primary tumor (T) is expressed as:

[0172] T∈{T0,T1,T2,T3,T4}

[0173] Among them, T0 means no primary tumor, T1 means the tumor is small and confined to the primary site, T2 means the tumor is large and has not spread to adjacent tissues, T3 means the tumor has spread to adjacent tissues, and T4 means the tumor has spread to adjacent organs;

[0174] Regional lymph nodes (N) are represented as:

[0175] N∈{N0,N1,N2,N3}

[0176] Among them, N0 means no lymph node involvement, N1 means a few lymph nodes are involved, N2 means a large number of lymph nodes are involved, and N3 means extensive lymph node involvement;

[0177] Distant metastasis (M) is expressed as:

[0178] M∈{M0,M1}

[0179] Among them, M0 means no distant metastasis, and M1 means distant metastasis;

[0180] Based on the TNM staging data of tumor patients, the Chart.js data visualization library is used to record and display the TNM staging data of patients, provide detailed lists, line charts to show time trends, and fan charts and pie charts to show the proportions of different stages;

[0181] Based on the TNM staging data records of tumor patients, the first dimension is defined according to departments, wards, and diseases. Through multi-dimensional data slicing data analysis technology, the TNM staging data is screened and sliced ​​based on the first dimension. The TNM staging distribution of tumor patients in different departments, the TNM staging data of tumor patients in different wards, and the TNM staging of tumor types of different tumor patients are compared. Tumor patients are distinguished based on different departments, and the TNM staging data of tumor patients with different diseases and the TNM staging data of tumor patients in different wards are summarized for analysis;

[0182] Based on the JasperReports report generation tool, the screened and analyzed data are exported (Excel, PDF) to generate the TNM staging report of tumor patients.

[0183] By collecting TNM staging data, the specific condition of each cancer patient is recorded in detail. This precise data record helps the medical team to fully understand and manage the patient's condition. The specific classification of each stage (T, N, M) is determined according to the patient's cancer type and clinical examination results, ensuring the scientificity and accuracy of the condition assessment. This detailed condition analysis helps to formulate personalized treatment plans and improve treatment effects. The Chart.js data visualization library is used to visualize the TNM staging data, making complex data intuitive and easy to understand, which is convenient for medical staff to quickly grasp the changes in the patient's condition and the overall staging distribution. Through multi-dimensional data slicing technology, the TNM staging data is screened and sliced ​​to help the medical team understand the differences in the condition in each dimension, provide important reference for clinical decision-making, help discover potential treatment differences and optimize treatment plans, and provide comprehensive and detailed condition analysis and treatment recommendations for medical staff, management and patients, which helps to improve the scientificity and effectiveness of diagnosis and treatment decisions.

[0184] S6, based on the hierarchical management system of general and restricted anti-cancer drugs, doctors submit applications for electronic prescription rights for anti-cancer drugs, and hospital managers can customize the approval process;

[0185] Preferably, based on the hierarchical management system of general and restricted anti-cancer drugs, doctors submit applications for electronic prescription rights for anti-cancer drugs and go through a customized approval process, including:

[0186] Based on the hierarchical management system of ordinary and restricted anti-tumor drugs, doctors prescribe a list of required anti-tumor drugs according to the patient's condition and fill out an electronic form to submit an application for prescription rights. The electronic form includes the applicant's name, work number, professional title level, assessment status and anti-tumor drug list;

[0187] The application for prescription rights is customized according to the hospital's process requirements and regulations. The doctor applies for the use of anti-tumor drugs within the scope of outpatient and inpatient; main hospital and branch hospitals to match the corresponding approval process. The departments involved include the department, pharmacy department, medical insurance office, tumor standardized diagnosis and treatment management office, outpatient office and drug warehouse. The approval process includes two modes: parallel approval and serial approval.

[0188] Parallel approval is carried out by multiple approval departments and sections at the same time, while serial approval is carried out in order from low to high. After the approval of the corresponding department is completed, it will enter the approval of the next department, and the approval result of the corresponding department will be automatically forwarded to the relevant personnel of the approval process;

[0189] During the approval process, the approval status changes will be pushed to the applicant in real time. The approval status includes unapproved status, under approval status, approved status, and rejected status.

[0190] The unapproved status means that the approval process has not started after the applicant submitted the prescription rights application;

[0191] The status of "under review" means that the approval process begins after the applicant submits the prescription right application, and the corresponding reviewer is reviewing the content;

[0192] The approved status means that after the applicant submits the prescription right application, the corresponding review personnel approve it;

[0193] The approval rejection status means that after the applicant submits the prescription rights application, the corresponding approval personnel have objections to the list of anti-tumor drugs and refuse to approve it;

[0194] Applicants can understand the approval progress based on the approval status. Approval personnel can post comments and questions about the prescription right application online. The corresponding comments and questions will be updated in real time and notified to the applicant. The applicant will provide feedback based on the information.

[0195] When the approval is completed, medical personnel will use anti-tumor drugs for cancer patients based on the list of anti-tumor drugs applied for prescription rights.

[0196] By filling out an electronic form to submit an application for prescription rights, the use of electronic forms simplifies the cumbersome process of traditional paper applications, shortens application time, and improves work efficiency. Electronic forms facilitate data archiving and management, ensuring the integrity and traceability of information. Through the two modes of parallel approval and serial approval, it can flexibly adapt to different approval needs and improve approval efficiency. Status changes during the approval process will be pushed to the applicant in real time. The applicant can view the approval progress and status online, which improves information transparency, reduces communication barriers, and enables applicants to respond quickly to problems that arise during the approval process. Ensuring sufficient communication and exchanges during the application process helps to improve the quality of approval. Through an automated forwarding mechanism, the risk of errors in manual operations is reduced, ensuring a smooth and efficient approval process. The electronic and systematic process reduces patient waiting time and improves patient satisfaction and trust.

[0197] An example of the application process for prescription rights is as follows: Figure 4 and Figure 5 As shown, the goal is to provide an efficient, safe and convenient management solution to meet the changing needs of medical management, mainly including the following key advantages:

[0198] 1. Customized workflow engine: This engine is the core of the system and can intelligently match the approval process according to different anti-tumor drug usage scenarios. It analyzes the input scenario parameters through a preset rule base and algorithm to dynamically generate or adjust the approval process.

[0199] 2. Integration of parallel and serial approval modes: The system supports a combination of multiple approval modes to meet different approval needs. Parallel approval allows multiple approval links to be carried out simultaneously, while serial approval requires them to be completed one by one in sequence. The system also introduces an automatic forwarding mechanism based on conditional triggers. When specific conditions are met, the approval task will be automatically forwarded to the next link without manual intervention.

[0200] 3. Intelligent automatic forwarding mechanism: This mechanism identifies key nodes in the approval process through an integrated algorithm and automatically forwards tasks to relevant approvers, which not only reduces the need for manual operations but also improves the accuracy and efficiency of the approval process.

[0201] 4. Optimization of cross-departmental collaboration: The system has designed an electronic process to promote efficient cooperation among different departments. Through shared databases and communication interfaces, each department can access and update approval information in real time to ensure the consistency and timeliness of information.

[0202] 5. Real-time notification and online feedback mechanism: The system has built an instant communication platform so that participants in the approval process can receive notifications and give feedback in real time. This mechanism is implemented through e-mail, text messages or system messages, ensuring convenient and efficient communication.

[0203] In terms of technical implementation, the present invention is constructed using modern software development methods, including but not limited to the use of cloud computing services, database management systems, front-end and back-end development frameworks, etc. The system front end is responsible for providing the user interface, the back end processes the business logic, and the cloud service ensures the scalability and high availability of the system.

[0204] In summary, the anti-tumor drug prescription rights application system of the present invention provides hospitals with a new anti-tumor drug prescription rights management solution through its highly customized and intelligent design, which significantly improves the efficiency and safety of medical management. It not only shortens the processing time of prescription rights approval, increases the transparency of the process, and allows applicants to track the application status in real time, but also reduces human errors through systematic data processing and automated review processes, ensuring the accuracy of drug prescription rights approval. This solution provides innovative technical solutions in improving the efficiency, accuracy and safety of anti-tumor drug prescription rights management, and brings substantial progress and advantages to the information management of the healthcare industry.

[0205] S7, such as Figure 6 As shown, the data on the use of anti-tumor drugs by tumor patients is collected in real time, and the use of anti-tumor drugs is screened and analyzed in multiple dimensions to update the medical records of tumor patients;

[0206] Preferably, the data on the use of anti-tumor drugs by tumor patients is collected in real time, and the use of anti-tumor drugs is screened and analyzed in multiple dimensions to update the medical records of tumor patients, including:

[0207] The hospital information system (HIS) and pharmacy management system (PMS) collect real-time data on the use of anti-tumor drugs by cancer patients, including the types and prices of anti-tumor drugs and the condition of cancer patients;

[0208] Based on the data of anti-tumor drug use by tumor patients, Tableau data visualization tool is used to generate charts (bar charts, pie charts, line charts) and data tables to dynamically display the use of anti-tumor drugs, trends and statistical summaries (mean, median, mode, kurtosis);

[0209] Medical staff screen and analyze the use data of anti-tumor drugs according to departments, wards, time periods, and drug types to understand the use patterns and trends of anti-tumor drugs;

[0210] Based on the historical data repository, medical staff compared the use of anticancer drugs in different time periods, displayed the monthly anticancer drug use numbers through line graphs, and identified changes in use trends;

[0211] Based on the JasperReports report generation tool, the number of anti-tumor drugs used by tumor patients is used to generate a report on the use of anti-tumor drugs by tumor patients, which includes specific data analysis results and charts. Based on the report on the use of anti-tumor drugs by tumor patients, clinicians are guided to adjust the medication plan.

[0212] By collecting data on the use of anti-tumor drugs by cancer patients in real time, we ensure that medical staff and pharmacies are always aware of the latest drug usage and can adjust treatment plans and drug inventory in a timely manner. Through the Tableau data visualization tool, we can dynamically display the usage, trends and statistical summaries of anti-tumor drugs, making complex data intuitive and easy to understand, helping medical staff to quickly understand the overall situation and details of drug use. By comparing historical anti-tumor drug usage data through line charts, we can identify changes in usage trends and guide clinicians to adjust medication plans according to actual conditions. Through anti-tumor drug usage reports, we can provide medical staff and management with detailed and intuitive reference materials to support decision-making and management.

[0213] S8, such as Figure 7 As shown, the medical records of tumor patients are randomly selected, and the medical record inspectors will conduct scoring inspections and attach an inspection report to each randomly selected tumor patient's medical record;

[0214] Preferably, the medical records of cancer patients are randomly selected and scored by medical record inspectors, and an inspection report is attached to each randomly selected medical record of cancer patients, including:

[0215] Based on the medical records of tumor patients, the medical records of tumor patients in different departments were randomly selected through stratified sampling method, which is expressed as:

[0216]

[0217] Among them, A is the total number of medical records of tumor patients, A i represents the number of tumor patient medical records in department i, L represents the number of departments, a represents the number of tumor patient medical records extracted, and a i represents the number of medical records of tumor patients extracted by department i;

[0218] The medical records of tumor patients in different departments are extracted and expressed as:

[0219] S i ={s i1 ,s i2 ,s i2 ,…s in};

[0220]

[0221] Among them, S i represents a random selection a from department i i A number of medical records of cancer patients, S represents the number of medical records of cancer patients extracted from different departments;

[0222] Based on the medical records of randomly selected cancer patients, a comprehensive evaluation system was constructed to determine key indicators, including medical record completeness, diagnostic accuracy, treatment plan compliance, drug management, surgery and treatment records, follow-up and nursing records, patient safety, and document standardization;

[0223] The threshold F is determined and judged based on historical data and professional experience;

[0224] Supervisors score cancer patients based on key indicators during treatment, and the summary score is a comprehensive score of the cancer patient's medical record, expressed as:

[0225]

[0226] Among them, H t is the comprehensive score of the tumor patient's medical history, n is the number of key indicators, H i Score the i-th key indicator of the tumor patient's medical record, ω i is the weight of the i-th key indicator of the tumor patient's medical record;

[0227] Set the judgment threshold F and the comprehensive score H of the tumor patient's medical history t Compare and judge the quality of medical records of tumor patients:

[0228] Ht When it is greater than or equal to F, it means that the comprehensive score of the tumor patient's medical record is high, most key indicators perform well, and the overall quality of the tumor patient's medical record is high;

[0229] H t When it is less than F, it means that the comprehensive score of the tumor patient's medical record is low, most key indicators perform poorly, and the quality of the tumor patient's medical record is low;

[0230] Based on the comprehensive score of tumor patients' medical records, the Tableau data visualization tool is used to display the comprehensive score results and trends of medical records in the form of charts and data tables to find problems in the quality of medical records. The second dimension is defined according to departments, wards, and physicians. Through multi-dimensional data analysis technology, inspectors screen low-scoring key indicators in medical records based on the second dimension, find problems based on the document records of low-scoring key indicators, and optimize treatment plans;

[0231] Based on H t For tumor patients whose medical records are less than F, notify relevant medical staff to review the treatment process, pay full attention to the scoring results of various key indicators, provide corresponding corrective measures according to the review content, enter the corrective measures after the review into the key indicators, follow up the subsequent results of the corrective measures and re-score, record the corrective measures steps and subsequent follow-up scoring results;

[0232] Generate inspection reports based on JasperReports report generation tool, including the scoring results of key indicators and rectification status, for internal audit and external inspection.

[0233] Through the stratified sampling method, the medical records of tumor patients were randomly selected in different departments to ensure the representativeness and fairness of the sampling. Stratified sampling can better reflect the actual situation of each department, avoid inaccurate evaluation results caused by sampling bias, and improve the scientificity and credibility of medical record quality inspection. By building a comprehensive evaluation system, the comprehensiveness and systematicness of medical record quality inspection are ensured, which helps to discover and improve problems in medical record recording and facilitates medical staff to understand and use. Through medical record quality inspection and scoring, problems in medical record recording and processing are discovered, and specific improvement measures are provided to continuously improve the quality of medical records. Improving the quality of medical records will help reduce medical errors and continuously improve the quality of medical record recording and processing.

[0234] S9, build a responsive medical alliance platform interface, maintain detailed information of medical alliance members, update announcements and resource sharing;

[0235] Preferably, a medical alliance platform interface is constructed to maintain detailed information of medical alliance members, update announcements and share resources, including:

[0236] Medical alliance members include medical staff involved in the process of treating cancer patients;

[0237] The medical alliance platform interface is built using the React modern JavaScript library and the Vue progressive JavaScript framework, including member information management, notifications and announcements, and resource sharing libraries;

[0238] Member information management includes each medical alliance member's hospital profile, professional field, contact information, and responsibilities in the medical alliance, which is updated in real time according to changes in medical personnel during the treatment of tumor patients;

[0239] Notices and announcements classify information, including policy information, activity notification information, and emergency information, and receive and send internal notices and information among medical alliance members;

[0240] The resource sharing library shares the latest medical resources for members of the oncology medical alliance, including research reports, treatment guidelines, and teaching materials. Members of the medical alliance disseminate knowledge and improve their professional skills based on the sharing of medical resources.

[0241] Through the member information management function, the information of medical alliance members can be updated in real time to ensure that all members have access to the latest contact information and professional fields, and improve the efficiency and accuracy of information management. The notification and announcement function enables policy information, event notifications and emergency information to be quickly conveyed to all medical alliance members, strengthen communication and collaboration among members, and ensure the timeliness and consistency of information. The resource sharing library provides medical alliance members with access to the latest medical resources, promotes the dissemination of knowledge and the improvement of professional skills, helps to optimize the allocation of medical resources, avoids duplication of work and waste of resources, and improves the efficiency of resource utilization. The medical alliance platform promotes cooperation between different medical institutions, helps to form a closer and more efficient working network, and can significantly improve the communication efficiency, resource sharing and professional development among medical alliance members, thereby improving the operational efficiency and service quality of the entire medical alliance.

[0242] Example 2

[0243] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0244] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0245] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0246] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used to implement: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0247] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should be included in the scope of the claims of the present invention.

Claims

1. A digital tumor standardized full-process management system, characterized by: include, The personnel management module collects individual information of medical staff and manages the roles and permissions of individual information; The system management module traces and supervises hospital policy documents through the system specification platform; Diagnosis and treatment standard module: medical staff can learn diagnosis and treatment standards through reading auxiliary tools and assign role account permissions according to work needs; Tumor standard diagnosis and treatment training and assessment module: medical staff can study courses and take exams through the online course library, and generate personal learning reports and capability development charts based on the learning results; The TNM staging module collects TNM staging data and medical history data of tumor patients based on the hospital information system, analyzes the TNM staging of tumor patients through data records, and generates summary reports regularly; The module for targeted application of anti-tumor drug prescription rights is based on the hierarchical management system of ordinary and restricted anti-tumor drugs. Doctors submit electronic prescription rights applications for anti-tumor drugs, and hospital managers can customize the approval process. The anti-tumor drug data real-time monitoring module collects the data of anti-tumor drug use by tumor patients in real time, and forms a comprehensive report through multi-dimensional screening and analysis of the use of anti-tumor drugs; The tumor treatment medical record inspection module randomly selects tumor patients' medical records, and the medical record inspectors conduct scoring inspections and attach inspection reports to each randomly inspected tumor patient's medical record; The tumor medical alliance module builds a responsive medical alliance platform interface, maintains detailed information of medical alliance members, and updates announcements and resource sharing.

2. The digital standardized tumor management system according to claim 1, characterized in that: The individual information of medical staff is collected and the role and authority management of the individual information is performed, including: Collect individual information of medical staff based on the electronic personnel files in the hospital, including basic personal information, job information, contact information and professional qualifications; Based on the individual information of medical staff, the administrator defines departments, sections and working groups according to the hospital organizational structure. The management levels are divided into four sections from high to low: tumor standardized treatment management committee, tumor standardized treatment management office, hospital-level expert management committee and disease management group; The Tumor Standard Treatment Management Committee is the highest-level management body responsible for formulating and supervising tumor treatment standards; The Tumor Standardized Treatment Management Office is the executive body responsible for daily standardized treatment management work; The hospital-level expert management committee is responsible for guiding the rational clinical use of anti-tumor drugs and pharmaceutical management; The disease management team is responsible for the treatment management of specific diseases and the formulation of treatment procedures for the disease; Based on the RBAL access control method, role accounts are assigned to medical personnel, including administrator accounts, department director accounts, doctor accounts, nurse accounts, and data analyst accounts. Different permissions are determined according to the different role accounts assigned, including viewing permissions, modification permissions, and deletion permissions. Administrator accounts can create medical personnel roles, modify, and delete data; department director accounts can view and modify the data of their departments; doctor accounts can view and modify the data of their disease management groups; nurse accounts and data analyst accounts can view and delete data; Based on the ACL fine-grained access control method, entity objects are defined, including tumor patient data, department data, and research report data. An access control list is created for each entity object, which records the permissions that the role account has for the data object. Based on the access control list of tumor patient data, the administrator account has the permission to view, modify, and delete; the department director account has the permission to view and modify; the doctor account has the permission to view and modify; the nurse account and data analyst account only have the permission to view; When the medical staff's role account changes, their permissions will be dynamically updated.

3. The digital standardized tumor management system according to claim 2, characterized in that: The system regulation platform is used to trace and supervise hospital policy documents, including: Build a regulatory compliance platform through PostgreSQL database, Elasticsearch search engine, and Splunk data analysis platform; Based on the PostgreSQL database, medical staff upload hospital policy files, which are reviewed and officially released when they pass the review. Each released hospital policy file carries a version update record, including the modifier and timestamp; Based on hospital policy documents, medical staff use semantic association and keyword search through the Elasticsearch search engine to provide corresponding search results, highlight keywords in the search results, assist medical staff in locating corresponding content, and filter according to document category, release time, and department, assisting medical staff in quickly locating relevant hospital policy documents; The Splunk data analysis platform records the query, viewing and downloading operations of medical personnel in real time and generates a medical personnel activity log.

4. The digital standardized tumor management system according to claim 3, characterized in that: The medical staff learns diagnosis and treatment standards through reading auxiliary tools and allocates role account permissions according to work needs, including: Based on the TinyMCE visual editor, it provides predefined editing templates that support text, image and video embedding, table and chart multimedia elements. Medical experts use editing templates to write and revise diagnosis and treatment specifications. Based on the Readwise reading assistance tool, medical staff can automatically save their progress when studying diagnosis and treatment standard documents. The content of diagnosis and treatment standard documents is analyzed by natural language processing technology to automatically generate a summary of the diagnosis and treatment standard documents, assisting medical staff to quickly understand the subject content of the diagnosis and treatment standard. Medical staff can also be allowed to select text and highlight it. The highlight has different colors and styles to distinguish different types of text. Assign medical staff role accounts through the RBAL access control method, including hospital director accounts, department director accounts, medical expert accounts, doctor accounts, and nurse accounts. Formulate account permissions based on the work requirements of medical staff roles, including reading, editing, and approval permissions; The hospital dean's account and department director's account have the authority to read, edit and approve diagnosis and treatment standards. The medical expert's account has the authority to read and edit diagnosis and treatment standards. The doctor's account and nurse's account have the authority to read diagnosis and treatment standards.

5. The digital standardized tumor management system according to claim 4, characterized in that: The medical staff conducts course learning and examination assessment through the online course library, and generates personal learning reports and capability development charts based on the learning results, including: Based on the CMS content management system software, an online course library is built by combining historical case analysis audio files, the latest industry dynamics, medical operation technology explanation videos and policy interpretation graphic materials. Courses are classified according to professional fields and difficulty levels, and medical staff can choose appropriate courses to study according to their own needs and levels; After completing the course, there will be a course exam. The course exam includes a variety of question types and is divided into three difficulty levels: low, medium, and high. Medical staff can choose the difficulty level by themselves. The course knowledge points in the low-level course exam are 60% of the corresponding course content, the course knowledge points in the medium-level course exam are 80% of the corresponding course content, and the course knowledge points in the high-level course exam are 100% of the corresponding course content. A course exam result of Q is considered to be a pass; If the medical staff chooses to take the low-level course examination, if the result of the low-level course examination is lower than Q, it is considered as unqualified. The medical staff shall retake the low-level course examination until the result is greater than Q. If the result of the low-level course examination is greater than or equal to Q, it is considered as qualified. The medical staff shall continue to complete the middle and high-level course examinations of the corresponding courses in sequence; If the medical staff chooses to take the mid-level course examination, if the result of the mid-level course examination is lower than Q, it is considered as unqualified. The medical staff shall retake the mid-level course examination until the result is greater than Q. If the result of the mid-level course examination is greater than or equal to Q, it is considered as qualified. The medical staff shall continue to complete the high-level course examination of the corresponding course in sequence; If medical staff choose to take the advanced course examination, if the result of the advanced course examination is lower than Q, it is considered as unqualified. They need to take the advanced course examination again until the result is greater than Q. If the result of the advanced course examination is greater than or equal to Q, it is considered as qualified. After passing the examination, they can study other courses; In the course examination, passing the high-level course examination is the assessment standard for completing the course study. When medical staff complete the high-level course examination and pass it, it means that the corresponding course study has been completed; Based on the course learning results of medical staff, personal learning reports and competency development charts are generated through the LMS learning management system software; The content of the personal study report includes study time, course study progress, course score distribution and knowledge points mastered, course exam times, and course exam answer status; The competency development chart visually displays the competency development trends of medical staff in the form of charts, assists medical staff in understanding their learning outcomes, and provides a reference for their career planning and continuing education.

6. The digital standardized tumor management system according to claim 5, characterized in that: The hospital information system is used to collect TNM staging data and medical history data of tumor patients, analyze the TNM staging of tumor patients through data records, and regularly generate summary reports, including: Hospital Information System A comprehensive information system used to manage the daily business and operations of a hospital; The TNM staging data and medical history data of tumor patients were collected based on the hospital information system. The TNM staging situation consists of three parts: primary tumor, regional lymph nodes, and distant metastasis; The primary tumor is expressed as: T∈{T0,T1,T2,T3,T4} Among them, T0 means no primary tumor, T1 means the tumor is small and confined to the primary site, T2 means the tumor is large and has not spread to adjacent tissues, T3 means the tumor has spread to adjacent tissues, and T4 means the tumor has spread to adjacent organs; Regional lymph nodes are represented as: N∈{N0,N1,N2,N3} Among them, N0 means no lymph node involvement, N1 means a few lymph nodes are involved, N2 means a large number of lymph nodes are involved, and N3 means extensive lymph node involvement; Distant metastasis is represented by: M∈{M0,M1} Among them, M0 means no distant metastasis, and M1 means distant metastasis; Based on the TNM staging data of tumor patients, the Chart.js data visualization library is used to record and display the TNM staging data of patients, provide detailed lists, line charts to show time trends, and fan charts and pie charts to show the proportions of different stages; Based on the TNM staging data records of tumor patients, the first dimension is defined according to departments, wards, and diseases. Through multi-dimensional data slicing data analysis technology, the TNM staging data is screened and sliced ​​based on the first dimension. The TNM staging distribution of tumor patients in different departments, the TNM staging data of tumor patients in different wards, and the TNM staging of tumor types of different tumor patients are compared. Tumor patients are distinguished based on different departments, and the TNM staging data of tumor patients with different diseases and the TNM staging data of tumor patients in different wards are summarized for analysis; Based on the JasperReports report generation tool, the filtered and analyzed data is exported to generate a summary report.

7. The digital standardized tumor management system according to claim 6, characterized in that: Based on the hierarchical management system of ordinary and restricted anti-tumor drugs, doctors submit applications for electronic prescription rights for anti-tumor drugs, and hospital managers can customize the approval process. include, Based on the hierarchical management system of ordinary and restricted anti-tumor drugs, doctors prescribe a list of required anti-tumor drugs according to the patient's condition and fill out an electronic form to submit an application for prescription rights. The electronic form includes the applicant's name, work number, professional title level, assessment status and anti-tumor drug list; The application for prescription rights is customized according to the hospital's process requirements and regulations. The application for the use of anti-tumor drugs by doctors is matched with the corresponding approval process. The approval process includes two modes: parallel approval and serial approval. Parallel approval is carried out by multiple approval departments and sections at the same time, while serial approval is carried out in order from low to high. After the approval of the corresponding department is completed, it will enter the approval of the next department, and the approval result of the corresponding department will be automatically forwarded to the relevant personnel of the approval process; During the approval process, the approval status changes will be pushed to the applicant in real time. The approval status includes unapproved status, under approval status, approved status, and rejected status. The unapproved status means that the approval process has not started after the applicant submitted the prescription rights application; The status of "under review" means that the approval process begins after the applicant submits the prescription right application, and the corresponding reviewer is reviewing the content; The approved status means that after the applicant submits the prescription right application, the corresponding review personnel approve it; The approval rejection status means that after the applicant submits the prescription rights application, the corresponding approval personnel have objections to the list of anti-tumor drugs and refuse to approve it; When the approval is completed, medical personnel will use anti-tumor drugs for cancer patients based on the list of anti-tumor drugs applied for prescription rights.

8. The digital standardized tumor management system according to claim 7, characterized in that: The real-time collection of anti-tumor drug use data of tumor patients forms a comprehensive report through multi-dimensional screening and analysis of the use of anti-tumor drugs, including: The hospital information system and pharmacy management system are used to collect real-time data on the use of anti-tumor drugs by cancer patients, including the types and prices of anti-tumor drugs and the condition of cancer patients; Based on the data of anti-tumor drug use by tumor patients, Tableau data visualization tool is used to generate charts and data tables to dynamically display the use, trends and statistical summaries of anti-tumor drugs; Medical staff screen and analyze the use data of anti-tumor drugs according to departments, wards, time periods, and drug types to understand the use patterns and trends of anti-tumor drugs; Based on the historical data repository, medical staff compared the use of anticancer drugs in different time periods, displayed the monthly anticancer drug use numbers through line graphs, and identified changes in use trends; Based on the JasperReports report generation tool, the number of anti-tumor drugs used by tumor patients is used to generate a report on the use of anti-tumor drugs by tumor patients, which includes specific data analysis results and charts. Based on the report on the use of anti-tumor drugs by tumor patients, clinicians are guided to adjust the medication plan.

9. The digital standardized tumor management system according to claim 8, characterized in that: The medical records of tumor patients are randomly selected and scored by medical record inspectors, and an inspection report is attached to each randomly selected tumor patient's medical record, including: Based on the medical records of tumor patients, the medical records of tumor patients in different departments were randomly selected through stratified sampling method, which is expressed as: Among them, A is the total number of medical records of tumor patients, A i represents the number of tumor patient medical records in department i, L represents the number of departments, a represents the number of tumor patient medical records extracted, and a i represents the number of medical records of tumor patients extracted by department i; The medical records of tumor patients in different departments are extracted and expressed as: S i ={s i1 ,s i2 ,s i2 ,…s in }; Among them, S i represents a random selection a from department i i A number of medical records of cancer patients, S represents the number of medical records of cancer patients extracted from different departments; Based on the medical records of randomly selected cancer patients, a comprehensive evaluation system was constructed to determine key indicators, including medical record completeness, diagnostic accuracy, treatment plan compliance, drug management, surgery and treatment records, follow-up and nursing records, patient safety, and document standardization; Supervisors score cancer patients based on key indicators during treatment, and the summary score is a comprehensive score of the cancer patient's medical record, expressed as: Among them, H t is the comprehensive score of the tumor patient's medical history, n is the number of key indicators, H i Score the i-th key indicator of the tumor patient's medical record, ω i is the weight of the i-th key indicator of the tumor patient's medical record; Set the judgment threshold F and the comprehensive score H of the tumor patient's medical history t Compare and judge the quality of medical records of tumor patients: H t When it is greater than or equal to F, it means that the comprehensive score of the tumor patient's medical record is high, most key indicators perform well, and the overall quality of the tumor patient's medical record is high; H t When it is less than F, it means that the comprehensive score of the tumor patient's medical record is low, most key indicators perform poorly, and the quality of the tumor patient's medical record is low; Based on the comprehensive score of tumor patients' medical records, the Tableau data visualization tool is used to display the comprehensive score results and trends of medical records in the form of charts and data tables to find problems in the quality of medical records. The second dimension is defined according to departments, wards, and physicians. Through multi-dimensional data analysis technology, inspectors screen low-scoring key indicators in medical records based on the second dimension, find problems based on the document records of low-scoring key indicators, and optimize treatment plans; Based on H t For tumor patients whose medical records are less than F, notify relevant medical staff to review the treatment process, pay full attention to the scoring results of various key indicators, provide corresponding corrective measures according to the review content, enter the corrective measures after the review into the key indicators, follow up the subsequent results of the corrective measures and re-score, record the corrective measures steps and subsequent follow-up scoring results; Generate inspection reports based on JasperReports report generation tool, including the scoring results of key indicators and rectification status, for internal audit and external inspection.

10. The digital standardized tumor management system according to claim 9, characterized in that: The said construction of the medical alliance platform interface, maintenance of detailed information of medical alliance members, update announcements and resource sharing, includes: Medical alliance members include medical staff involved in the process of treating cancer patients; The medical alliance platform interface is built using the React modern JavaScript library and the Vue progressive JavaScript framework, including member information management, notifications and announcements, and resource sharing libraries; Member information management includes each medical alliance member's hospital profile, professional field, contact information, and responsibilities in the medical alliance, which is updated in real time according to changes in medical personnel during the treatment of tumor patients; Notices and announcements classify information, including policy information, activity notification information, and emergency information, and receive and send internal notices and information among medical alliance members; The resource sharing library shares the latest medical resources for members of the oncology medical alliance, including research reports, treatment guidelines, and teaching materials. Members of the medical alliance disseminate knowledge and improve their professional skills based on the sharing of medical resources.

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