Neural intervention postoperative anticoagulation management system based on digital therapy

Abstract

The invention provides a neural intervention postoperative anticoagulation management system based on digital therapy, which relates to the technical field of digital therapy systems and comprises a system hardware architecture and a system software architecture. A data analysis module is arranged in the system hardware architecture, and intelligent treatment scheme recommendation and decision assistance and data analysis and scientific research support are arranged in the system software architecture. A data analysis module is arranged in a system hardware architecture, and intelligent treatment scheme recommendation and decision assistance and data analysis and scientific research support are set in combination with a system software architecture, so that patient data collected by the system can be effectively analyzed, and a plurality of treatment schemes can be formulated according to symptoms and examination data of patients; and then, the doctor can autonomously select the treatment scheme according to the specific condition of the patient, so that the scientificity, comprehensiveness and rationality of the formulation of the treatment scheme are improved, the efficiency of the formulation of the treatment scheme is improved, and the workload of the doctor is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of digital therapy systems, and more particularly to an anticoagulation management system for neurointerventional surgery based on digital therapy. Background Art

[0002] With the wide application of neurointerventional technology in the treatment of cerebrovascular diseases, the importance of anticoagulation management after neurointerventional surgery has become increasingly prominent. The rationality and accuracy of postoperative anticoagulation therapy are directly related to the rehabilitation effect of patients and the risk of complications. However, the traditional postoperative anticoagulation management methods have many limitations and are difficult to meet the rapid development of current medical needs. In the traditional medical model, doctors mainly rely on artificial experience and limited paper medical records to formulate and adjust anticoagulation treatment plans. During this process, the clinical data of patients are scattered in different medical systems and paper documents, and doctors need to spend a lot of time and energy collecting, organizing, and analyzing this data, resulting in the formulation of treatment plans may not be timely and accurate enough. Therefore, digital therapy based on the Internet of Things has good prospects in the medical field.

[0003] Although the existing digital therapy-based neurointerventional postoperative anticoagulation management system can automatically and real-time collect patients' clinical data, including patients' basic information, surgical details, laboratory test results, vital sign data, etc., so that doctors can timely formulate appropriate treatment plans according to the collected information, the system often collects a lot of data, and it is very difficult to conduct a comprehensive and useful analysis only by manual analysis, and it will be very difficult to take all aspects into account when formulating treatment plans. Summary of the Invention

[0004] (1) Technical Problems to be Solved

[0005] In view of the deficiencies of the prior art, the present invention provides an anticoagulation management system for neurointerventional surgery based on digital therapy, which solves the problem that although the existing digital therapy-based neurointerventional postoperative anticoagulation management system can automatically and real-time collect patients' clinical data, including patients' basic information, surgical details, laboratory test results, vital sign data, etc., so that doctors can timely formulate appropriate treatment plans according to the collected information, the system often collects a lot of data, and it is very difficult to conduct a comprehensive and useful analysis only by manual analysis, and it will be very difficult to take all aspects into account when formulating treatment plans.

[0006] (2) Technical Solutions

[0007] To achieve the above object, the present invention is realized through the following technical solutions: An anticoagulation management system for neurointerventional surgery based on digital therapy, including a system hardware architecture and a system software architecture;

[0008] The system hardware architecture includes a data acquisition module for collecting patients' clinical data, a data storage module for storing patients' clinical data, a data analysis module for analyzing patients' clinical data, an application service module for storing and connecting to the system software architecture, and security and privacy protection for safeguarding patients' privacy rights and interests.

[0009] The system software architecture includes

[0010] The doctor service module includes a comprehensive view of patient information, intelligent treatment plan recommendation and decision assistance, early warning processing and collaborative communication, and data analysis and research support.

[0011] The nurse service module includes nursing task management and reminder, patient monitoring data entry and tracking, auxiliary implementation of patient education, and nursing quality assessment and feedback.

[0012] The patient service module includes personalized health guidance, self-monitoring and data upload, doctor-patient interaction platform, and treatment progress and health record query.

[0013] Furthermore, the data acquisition module realizes the automatic acquisition of patients' clinical data by establishing data interfaces with various information systems (HIS and LIS) within the hospital and adopting a standardized data transmission protocol (such as the HL7 protocol).

[0014] Furthermore, the data storage module is used to store patients' structured data, including basic information, surgical information, laboratory test results, and treatment plans, by constructing a relational database (such as MySQL). The data storage module can also store patients' unstructured data, such as medical imaging materials, patient education materials, and a large number of monitoring data logs, through a non-relational database (such as MongoDB), to meet the requirements of efficient data storage, query, and management.

[0015] Furthermore, the data analysis module uses data mining techniques and machine learning algorithms to analyze patients' data stored in the database; for example, the clustering analysis algorithm is adopted to classify patient groups in order to discover the anticoagulation treatment characteristics and needs of different types of patients; the decision tree algorithm is used to construct an anticoagulation treatment plan adjustment model to predict the best treatment plan adjustment strategy based on patients' multiple characteristics and monitoring data.

[0016] Furthermore, the application service module provides a convenient service entry for patients by developing a Web-based medical and nursing work platform and simultaneously constructing a patient mobile application. A system management background can also be designed in the application service module for user permission management, data maintenance, and system configuration operations of the system to ensure the safe and stable operation of the system.

[0017] Furthermore, the security and privacy protection adopts a strict user identity authentication mechanism, including multiple methods such as username and password login, fingerprint recognition, and SMS verification code verification, to ensure that only authorized users can access the system. At the same time, the data transmission and storage processes are encrypted.

[0018] Furthermore, the comprehensive patient information view can obtain all-round information of patients. The intelligent treatment plan recommendation and decision assistance can provide doctors with evidence-based initial anticoagulation treatment plan suggestions based on individual patient data and built-in professional medical algorithms in the system. The early warning processing and collaborative communication can receive various early warning information pushed by the system. When a patient shows abnormal coagulation, bleeding tendency, or other emergencies, detailed information can be quickly viewed and the corresponding processing process can be initiated. The data analysis and research support can utilize the powerful data storage and analysis functions of the system. Doctors can conduct retrospective studies, analyze the anticoagulation treatment effects and complication occurrence factors of specific patient groups, and mine valuable clinical information.

[0019] Furthermore, the nursing task management and reminder can automatically generate a nursing task list according to the anticoagulation treatment plan formulated by doctors and set a reminder function to ensure that nurses complete various nursing operations on time and avoid omissions or delays. The patient monitoring data entry and tracking can be responsible for entering the patient's daily nursing observation data and tracking the change trend of monitoring data, marking abnormal data in a timely manner and reporting it to doctors to assist doctors in discovering potential problems of patients in a timely manner. The patient education assistance implementation can cooperate with doctors to carry out patient education work, and explain anticoagulation treatment-related knowledge, precautions, and daily nursing points to patients and their families in an easy-to-understand manner with the help of patient education materials provided by the system. The nursing quality assessment and feedback can evaluate and record the nursing work of nurses according to preset nursing quality indicators and standards, and at the same time, nurses can view their own nursing quality assessment reports.

[0020] Furthermore, the personalized health guidance can ensure that patients receive health guidance information customized according to their individual conditions through the mobile application. The self-monitoring and data upload can use wearable devices or manual input methods for patients to record their daily vital signs, symptom manifestations, and medication data by themselves.

[0021] Furthermore, the doctor-patient interaction and communication platform can allow patients to communicate with doctors and nurses in real time online in the application, consult questions during the treatment process, feedback changes in their physical conditions, or seek psychological support. The treatment progress and health record query can enable patients to view the progress of their anticoagulation treatment after neurointerventional surgery at any time, including the change trends of various examination indicators and the records of treatment plan adjustments, etc., to form a personal health record.

[0022] (III) Beneficial effects

[0023] The present invention provides an anticoagulation management system for neurointerventional surgery based on digital therapy, which has the following beneficial effects:

[0024] 1. In this solution, by setting a data analysis module in the system hardware architecture and combining intelligent treatment plan recommendation and decision assistance and data analysis and scientific research support in the system software architecture, the patient data collected by the system can be effectively analyzed, and multiple treatment plans can be formulated according to the patient's symptoms and examination data. Subsequently, the doctor can independently select a treatment plan according to the specific situation of the patient, which is beneficial to improving the scientificity, comprehensiveness and rationality of the treatment plan formulation, and also beneficial to improving the efficiency of the treatment plan formulation and reducing the workload of doctors.

[0025] 2. In this solution, by setting a nurse service module and a patient service module in the system software architecture, the efficiency of patient care can be effectively improved. At the same time, the patient can be given rehabilitation guidance and communicate with the doctor online in a timely manner on the medical staff communication platform about their own symptoms, which is beneficial to the patient to adjust the rehabilitation treatment in a timely manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 is a schematic diagram of the hardware architecture of the anticoagulation management system for neurointerventional surgery based on digital therapy proposed by the present invention;

[0027] Figure 2 is a schematic diagram of the software architecture of the anticoagulation management system for neurointerventional surgery based on digital therapy proposed by the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0028] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0029] Embodiment:

[0030] As Figure 1-2 shown, the embodiment of the present invention provides an anticoagulation management system for neurointerventional surgery based on digital therapy, including a system hardware architecture and a system software architecture;

[0031] The system hardware architecture includes a data acquisition module for collecting patient clinical data. The data acquisition module establishes data interfaces with various information systems (HIS and LIS) within the hospital and uses a standardized data transmission protocol (such as the HL7 protocol) to achieve automatic acquisition of patient clinical data;

[0032] By having patients wear medical devices and using wireless communication technologies such as Bluetooth and Wi-Fi, real-time monitoring data such as patients' vital signs can be received. At the same time, a data entry interface for the patient mobile application is developed to facilitate patients to manually input relevant information (such as symptom descriptions, medication conditions, etc.);

[0033] A data storage module for storing patients' clinical data. The data storage module is used to store patients' structured data by constructing a relational database (such as MySQL), including basic information, surgical information, laboratory test results, and treatment plans. The data storage module can also store patients' unstructured data, such as medical imaging materials, patient education materials, and a large number of monitoring data logs, through a non-relational database (such as MongoDB) to meet the requirements of efficient storage, query, and management of data;

[0034] A data analysis module for analyzing patients' clinical data. The data analysis module uses data mining techniques and machine learning algorithms to analyze patients' data stored in the database; for example, using clustering analysis algorithms to classify patient groups in order to discover the anticoagulation treatment characteristics and needs of different types of patients; using decision tree algorithms to build an anticoagulation treatment plan adjustment model, and predicting the best treatment plan adjustment strategy based on patients' multiple characteristics and monitoring data;

[0035] By establishing a natural language processing (NLP) model, semantic analysis is performed on the text descriptions (such as symptom descriptions) input by patients in the mobile application, and key information is extracted and converted into structured data so that the system can better understand the patients' situations and perform corresponding processing;

[0036] Natural language processing is an important direction in the fields of computer science and artificial intelligence. It studies various theories and methods that can achieve effective communication between humans and computers using natural language. The goal of the NLP model is to enable the computer to understand, generate, and process human language just like humans. In the anticoagulation management system for neurointerventional procedures based on digital therapy, the NLP model is used to process the text descriptions (such as symptom descriptions) input by patients, extract key information, and convert it into structured data, so as to better assist the system in understanding the patients' situations and performing corresponding processing;

[0037] The NLP model can extract and classify the patient's symptoms. When the patient enters a symptom description in the mobile application, such as "I feel a bit dull pain in my head and it seems a bit swollen near the wound", the NLP model can identify symptoms like "dull pain in the head" and "swelling near the wound", and classify them into symptom categories that may be related to postoperative recovery, such as pain symptoms and local swelling symptoms. In this way, the system can quickly convert the patient's subjective description into structured symptom information, providing timely and accurate reference for doctors to help them judge whether the patient may have postoperative complications, such as bleeding or infection;

[0038] The NLP model can understand the patient's intention. For example, when the patient asks "I forgot to take my medicine today. What should I do?", the model can understand that this is a consultation intention regarding missed medication. Based on this intention understanding, the system can automatically generate corresponding answers, such as "If you just forgot to take your medicine not long ago, you can take it as soon as possible. But if it's close to the next dosing time, don't take the missed dose and just take the next dose at the normal time. Also, try to avoid missing doses again", and feedback to the patient in a timely manner to improve the quality of patient service and communication efficiency;

[0039] The NLP model can perform sentiment analysis on the text input by the patient to judge the patient's emotional state. For example, when the patient enters "I'm very worried about this anticoagulant treatment. I don't know if there will be any side effects", the model can identify the patient's worried emotion. Based on the results of sentiment analysis, the system can arrange for medical staff to conduct psychological counseling for the patient or provide more knowledge materials about the safety of anticoagulant treatment to improve the patient's psychological state and enhance the patient's treatment compliance;

[0040] An application service module for storing and connecting the system software architecture. By developing a web-based medical staff work platform, doctors can log in to the system through this platform to view the patient's detailed information, monitoring data, warning information, formulate and adjust anticoagulant treatment plans, view data analysis reports, etc., to achieve all-round management of the patient;

[0041] At the same time, build a patient mobile application to provide a convenient service entrance for patients, including functions such as receiving educational materials, recording personal information, receiving warnings and health advice, and communicating and interacting with doctors; A system management background can also be designed in the application service module for user permission management, data maintenance, and system configuration operations of the system to ensure the safe and stable operation of the system;

[0042] Security and privacy protection for safeguarding patients' privacy rights adopt a strict user authentication mechanism, including multiple methods such as username and password login, fingerprint recognition, and SMS verification code verification, ensuring that only authorized users can access the system. At the same time, the data transmission and storage processes are encrypted. The SSL / TLS protocol is used to encrypt the data transmission channel, and sensitive data is encrypted for storage to prevent data leakage. Additionally, relevant medical data privacy regulations (such as the HIPAA Act) are followed, and a detailed data privacy policy is formulated to clarify the scope of data use and permissions, thereby protecting patients' privacy rights;

[0043] The system software architecture includes

[0044] The doctor service module includes a comprehensive patient information view, which can obtain all-round information of patients, including demographic information, past medical history, surgical details, postoperative recovery progress, and real-time monitoring data, etc., presented in an intuitive and clear interface for quickly understanding the overall condition of patients and making accurate judgments;

[0045] Intelligent treatment plan recommendation and decision-making assistance can, based on individual patient data and professional medical algorithms built into the system, provide doctors with evidence-based initial anticoagulation treatment plan suggestions. During the treatment process, it continuously analyzes changes in patients' real-time monitoring data, such as fluctuations in coagulation indicators and signs of complications, etc., and promptly gives suggestions for plan adjustment and provides relevant clinical research evidence and reference cases of similar cases to assist doctors in making scientific and reasonable decisions;

[0046] Early warning handling and collaborative communication can receive various early warning information pushed by the system. When a patient shows abnormal coagulation, bleeding tendency, or other emergencies, detailed information can be quickly viewed and the corresponding handling process can be initiated. This system supports convenient online communication and collaboration between doctors and nurses, experts from other departments, as well as patients or their families, such as case discussions, treatment plan communications, and answering family members' consultations, etc., to ensure smooth information flow and improve the overall collaboration efficiency of the medical team;

[0047] Data analysis and research support can utilize the system's powerful data storage and analysis functions. Doctors can conduct retrospective studies, analyze the anticoagulation treatment effects and factors causing complications of specific patient groups, etc., to dig out valuable clinical information. This system can also generate customized data reports and analysis results according to doctors' research needs to assist in the development of clinical research projects and the publication of academic achievements;

[0048] The nurse service module includes nursing task management and reminder. Based on the anticoagulation treatment plan formulated by the doctor, the nursing task management and reminder can automatically generate a nursing task list and set reminder functions by the system to ensure that nurses complete all nursing operations on time and avoid omission or delay.

[0049] Patient monitoring data entry and tracking. Patient monitoring data entry and tracking is responsible for entering the patient's daily nursing observation data, and at the same time tracking the changing trend of the monitoring data, marking abnormal data in a timely manner and reporting it to the doctor to assist the doctor in discovering potential problems of the patient in a timely manner.

[0050] Assisted implementation of patient education. The assisted implementation of patient education can cooperate with doctors to carry out patient education work. With the help of the patient education materials provided by the system, it explains the relevant knowledge, precautions and daily nursing key points of anticoagulation treatment to patients and their families in an easy-to-understand way, so as to answer the questions of patients during the treatment process and improve the patients' awareness and compliance of the treatment.

[0051] Nursing quality assessment and feedback. The nursing quality assessment and feedback can evaluate and record the nursing work of nurses according to the preset nursing quality indicators and standards by the system. At the same time, nurses can view their own nursing quality assessment reports and understand the advantages and disadvantages in their work, so as to improve the quality of nursing services targeted, and at the same time provide data support for the nursing management of the department.

[0052] The patient service module includes personalized health guidance, which can ensure that patients receive health guidance information customized by the system according to their individual conditions through the mobile application, including the taking method of anticoagulant drugs, diet collocation suggestions (such as avoiding foods rich in vitamin K to affect the anticoagulation effect), daily activity precautions (such as avoiding strenuous exercise to prevent injury and bleeding), etc., presented in various forms such as pictures, texts and videos, which is convenient for patients to understand and follow.

[0053] Self-monitoring and data upload. Patients can record their daily vital signs, symptom manifestations and medication data by using wearable devices or manual input and upload them to the system. The system analyzes and gives feedback on the data uploaded by patients. If abnormalities are found, it will timely remind patients and notify medical staff.

[0054] The doctor-patient interaction and communication platform allows patients to communicate with doctors and nurses in real time online in the application, consult questions during the treatment process, feedback changes in their physical conditions or seek psychological support. Doctors and nurses will reply to patients' questions within the specified time to establish a good doctor-patient trust relationship, and then improve patients' treatment satisfaction and compliance.

[0055] Treatment progress and health record query enable patients to view the progress of their anticoagulant treatment after neurointervention at any time, including the changing trends of various examination indicators, records of treatment plan adjustments, etc., forming a personal health record. This helps patients better understand their condition and treatment process, enhancing their confidence and initiative in self-management.

[0056] The advantages of this system are as follows:

[0057] Precision personalization: By integrating multi-source data and applying intelligent algorithms, the system can formulate a precise and personalized anticoagulant treatment plan for each patient, improving the treatment effect and reducing the occurrence of complications.

[0058] Real-time monitoring and early warning: It realizes real-time dynamic monitoring of patients, promptly discovers abnormal situations and issues early warnings, enabling medical staff to take intervention measures in the first time to ensure patient safety.

[0059] Improve patients' self-management ability: Patients participate in the self-management process of anticoagulant treatment through the mobile application, can better understand their own condition and treatment requirements, and improve treatment compliance and self-management ability.

[0060] Promote clinical research and decision-making: The large amount of patient data accumulated by the system provides rich resources for clinical research, helps to deeply study the laws and optimization strategies of anticoagulant treatment after neurointervention, and at the same time provides a scientific basis for clinical decision-making.

[0061] The application prospects of this system are as follows:

[0062] In medical institutions, this system can be widely applied in the neurointervention department to assist doctors in managing postoperative patients, improving medical quality and efficiency, and reducing medical risks.

[0063] With the development of telemedicine, the system can be extended to the home medical scenario, and patients can receive the system's monitoring and management at home, which is convenient for patients to seek medical treatment and reduces the medical burden on hospitals.

[0064] For medical insurance companies, the precise treatment management and risk assessment functions provided by the system help to formulate more reasonable insurance policies and claims settlement plans, promoting the healthy development of the medical insurance industry.

[0065] In summary, the anticoagulant management system for neurointervention based on digital therapy has important clinical value and broad application prospects, and is expected to become an important tool for managing patients after neurointervention, promoting the development of medical services in the neurointervention field towards digitalization and intelligentization.

[0066] Although embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An anticoagulation management system for neurointerventional surgery based on digital therapy, characterized in that: It includes the system hardware architecture and the system software architecture; The system hardware architecture includes a data acquisition module for collecting patients' clinical data, a data storage module for storing patients' clinical data, a data analysis module for analyzing patients' clinical data, an application service module for storing and connecting to the system software architecture, and security and privacy protection for protecting patients' privacy rights and interests; The system software architecture includes The doctor service module includes a comprehensive view of patient information, intelligent treatment plan recommendation and decision assistance, early warning processing and collaborative communication, and data analysis and research support; The nurse service module includes nursing task management and reminder, patient monitoring data entry and tracking, auxiliary implementation of patient education, and nursing quality assessment and feedback; The patient service module includes personalized health guidance, self-monitoring and data upload, doctor-patient interaction platform, and treatment progress and health record query.

2. The anticoagulation management system for neurointerventional surgery based on digital therapy according to claim 1, wherein: The data acquisition module realizes the automatic acquisition of patients' clinical data by establishing data interfaces with various information systems (HIS and LIS) within the hospital and adopting a standardized data transmission protocol (such as HL7 protocol).

3. The anticoagulation management system for neurointerventional surgery based on digital therapy according to claim 1, wherein: The data storage module constructs a relational database (such as MySQL) to store patients' structured data, including basic information, surgical information, laboratory test results, and treatment plans. The data storage module can also store patients' unstructured data, such as medical imaging materials, patient education materials, and a large number of monitoring data logs, through a non-relational database (such as MongoDB) to meet the requirements of efficient data storage, query, and management.

4. The anticoagulation management system for neurointerventional surgery based on digital therapy according to claim 1, wherein: The data analysis module uses data mining techniques and machine learning algorithms to analyze patients' data stored in the database; for example, clustering analysis algorithms are used to classify patient groups to discover the anticoagulation treatment characteristics and needs of different types of patients; decision tree algorithms are used to construct an anticoagulation treatment plan adjustment model to predict the best treatment plan adjustment strategy based on patients' multiple characteristics and monitoring data.

5. The anticoagulation management system for neurointerventional surgery based on digital therapy according to claim 1, wherein: The application service module develops a web-based medical staff work platform and constructs a patient mobile application program at the same time, providing a convenient service entry for patients. A system management background can also be designed in the application service module for user permission management, data maintenance, and system configuration operations of the system to ensure the safe and stable operation of the system.

6. The anticoagulation management system for neurointerventional surgery based on digital therapy according to claim 1, characterized in that: The security and privacy protection adopts a strict user identity authentication mechanism, including multiple methods such as username and password login, fingerprint recognition, and SMS verification code verification, to ensure that only authorized users can access the system. At the same time, the data transmission and storage processes are encrypted.

7. The anticoagulation management system for neurointerventional surgery based on digital therapy according to claim 1, wherein: The comprehensive patient information view can obtain all-round information of the patient. The intelligent treatment plan recommendation and decision assistance can, based on the patient's individual data and the professional medical algorithms built into the system, provide doctors with suggestions for initial anticoagulant treatment plans based on evidence-based medicine. The early warning handling and collaborative communication can receive various early warning information pushed by the system. When a patient shows coagulation abnormalities, bleeding tendencies or other emergencies, the detailed information can be quickly viewed and the corresponding handling process can be initiated. The data analysis and research support can utilize the powerful data storage and analysis functions of the system. Doctors can conduct retrospective studies, analyze the anticoagulant treatment effects and complication occurrence factors of specific patient groups, and mine valuable clinical information.

8. The anticoagulation management system for neurointerventional surgery based on digital therapy according to claim 1, characterized in that: The nursing task management and reminder can, according to the anticoagulant treatment plan formulated by the doctor, automatically generate a nursing task list by the system and set a reminder function to ensure that nurses complete various nursing operations on time and avoid omissions or delays. The patient monitoring data entry and tracking can be responsible for entering the patient's daily nursing observation data and at the same time tracking the change trend of the monitoring data, timely marking abnormal data and reporting it to the doctor to assist the doctor in timely discovering potential problems of the patient. The patient education assistance implementation can cooperate with the doctor to carry out patient education work, and with the help of the patient education materials provided by the system, explain the relevant knowledge, precautions and daily nursing points of anticoagulant treatment to the patient and their family members in an easy-to-understand way. The nursing quality assessment and feedback can, according to the preset nursing quality indicators and standards, evaluate and record the nursing work of nurses. At the same time, nurses can view their own nursing quality assessment reports.

9. The anticoagulation management system for neurointerventional surgery based on digital therapy according to claim 1, wherein: The personalized health guidance can ensure that patients receive health guidance information customized according to their individual conditions through the mobile application. The self-monitoring and data upload can use wearable devices or manual input methods for patients to record their daily vital signs, symptom manifestations and medication data by themselves.

10. The anticoagulation management system for neurointerventional surgery based on digital therapy according to claim 1, characterized in that: The doctor-patient interaction and communication platform allows patients to have real-time online communication with doctors and nurses in the application, consult questions during the treatment process, feedback changes in their physical conditions or seek psychological support. The treatment progress and health record query enable patients to view the progress of their anticoagulant treatment after neurointerventional surgery at any time, including the change trends of various examination indicators and the records of treatment plan adjustments, forming a personal exclusive health record.

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