An intelligent monitoring and management system for postoperative care of tumor patients

Abstract

The present invention discloses an intelligent monitoring and management system for postoperative nursing of tumor patients, relates to the field of postoperative nursing supervision, and comprises a management center, wherein the management center is communicatively connected with a nursing data acquisition module, a nursing data analysis module, a nursing data processing module and a nursing data supervision module, wherein the nursing data acquisition module collects postoperative pathological information, postoperative physiological information of tumor patients and medical care record information of medical staff; the nursing data analysis module sets up an intelligent nursing platform to obtain pathological evaluation results and physiological evaluation results; the nursing data processing module obtains physical and mental evaluation results and generates intelligent health conditioning information; the nursing data supervision module generates postoperative nursing planning information according to the intelligent health conditioning information, thereby improving the systematicness and interactivity of postoperative nursing supervision, improving the efficiency of postoperative nursing, and reducing the maintenance cost of the intelligent nursing platform and the recovery time of tumor patients.

Description

Technical Field

[0001] The present invention relates to the field of postoperative nursing supervision, and in particular to an intelligent monitoring and management system for postoperative nursing of tumor patients. Background Art

[0002] Smart supervision is to achieve informationization by building a regional medical information platform for health records and using the most advanced Internet of Things technology to achieve interaction between patients and medical staff, medical institutions, and medical equipment. In recent years, the medical industry is gradually integrating more high-tech such as artificial intelligence and sensor technology to make medical services truly intelligent and promote the prosperity and development of the medical industry. Under the background of the new medical reform, in order to overcome the problem of lack of medical resources and improve patients' medical experience, the importance of developing smart medicine has become increasingly apparent.

[0003] At present, in the process of collecting, storing and using patient data, sensitive data related to patients is easily leaked, postoperative care lacks standardization and systematization, and the cost of postoperative care for patients is usually too high. For this reason, an intelligent monitoring and management system for postoperative care of cancer patients is now provided. Summary of the invention

[0004] In order to solve the above technical problems, the object of the present invention is to provide an intelligent monitoring and management system for postoperative care of tumor patients, including a management center, the management center is communicatively connected with a nursing data acquisition module, a nursing data analysis module, a nursing data processing module and a nursing data supervision module;

[0005] The nursing data collection module is used to collect postoperative pathological information, postoperative physiological information of tumor patients and medical care record information of medical staff;

[0006] The nursing data analysis module is used to set up a smart nursing platform, upload postoperative pathological information, postoperative physiological information and medical and nursing record information to the smart nursing platform, analyze the condition of the tumor patient, and obtain pathological evaluation results and physiological evaluation results;

[0007] The nursing data processing module is used for medical staff to conduct multi-faceted physical and mental assessments on tumor patients based on pathological assessment results, physiological assessment results, and medical and nursing record information, obtain physical and mental assessment results, and generate intelligent health conditioning information based on the pathological assessment results, physiological assessment results, and physical and mental assessment results;

[0008] The nursing data supervision module is used to monitor postoperative pathological information, postoperative physiological information and medical staff's medical record information, generate postoperative nursing planning information based on intelligent health conditioning information, and perform postoperative nursing management for tumor patients.

[0009] Furthermore, the process of the nursing data collection module collecting postoperative pathological information, postoperative physiological information of tumor patients and medical care record information of medical staff includes:

[0010] The nursing data collection module is provided with a patient care unit and a medical inspection unit;

[0011] The patient care unit is used to collect the patient's corresponding medical condition information, which includes postoperative pathological information and postoperative physiological information; it is provided with an information uploading terminal 1 and an image acquisition terminal, the information uploading terminal is used by medical staff to record the tumor surgery record data and drug treatment data of the corresponding tumor patient; the image acquisition terminal is used by medical staff to collect and record the tumor status record data of the corresponding patient.

[0012] Furthermore, the process of the medical inspection unit collecting medical inspection information of medical personnel's inspection records of tumor patients includes:

[0013] The medical and nursing record information includes basic data of nursing staff, basic data of doctors, nursing examination data and medical order data; an information upload terminal 2 is provided, and the information upload terminal 2 is used by medical staff to collect basic data of nursing staff and basic data of doctors and record nursing examination data and medical order data of patients.

[0014] Furthermore, the nursing data analysis module sets up a smart nursing platform, uploads postoperative pathological information, postoperative physiological information and medical and nursing record information to the smart nursing platform, and the process of analyzing the condition of the tumor patient includes:

[0015] The smart nursing platform is provided with a patient sub-platform, a nursing sub-platform and a doctor sub-platform, and the patient sub-platform, the nursing sub-platform and the doctor sub-platform are interconnected;

[0016] The patient sub-platform is provided with a patient verification unit, and the patient verification unit is used to verify the patient's identity; the nursing sub-platform is provided with a nursing verification unit, and the nursing verification unit is used to verify the nursing staff's identity; the doctor sub-platform is provided with a doctor verification unit, and the doctor verification unit is used to verify the doctor's identity;

[0017] According to the basic patient data in the postoperative pathological information of the tumor patient, the postoperative pathological information and postoperative physiological information of the tumor patient are sorted and recorded; according to the postoperative record date, the postoperative pathological information and postoperative physiological information corresponding to the postoperative date are statistically recorded to generate a pathological observation record chart and a physiological observation record chart;

[0018] The pathological observation record chart is a line chart drawn based on the changes of all data in the postoperative pathological information according to the postoperative record date;

[0019] The physiological observation record chart is a line chart drawn based on the changes of all data in the postoperative physiological information according to the postoperative recording date;

[0020] The condition of tumor patients is analyzed based on the pathological observation records and physiological observation records.

[0021] Furthermore, the process of analyzing the condition of the tumor patient based on the pathological observation record chart and the physiological observation record chart includes:

[0022] Pathological evaluation standards and physiological evaluation standards are set, abnormal features of the pathological observation record chart and the physiological observation record chart are extracted based on the natural language algorithm, the abnormal features corresponding to the pathological observation record chart and the abnormal features corresponding to the physiological observation record chart of the corresponding tumor patient are obtained, and the abnormal features corresponding to the pathological observation record chart and the physiological observation record chart are sent to medical staff. The medical staff analyzes the abnormal features corresponding to the pathological observation record chart and the physiological observation record chart of the tumor patient according to the pathological evaluation standards and the physiological evaluation standards, obtains pathological evaluation results and physiological evaluation results, and uploads the pathological evaluation results and the physiological evaluation results to the doctor sub-platform.

[0023] Furthermore, the process in which the medical staff of the nursing data processing module conducts a multi-faceted physical and mental assessment of the tumor patient based on the pathological assessment results, physiological assessment results, and medical and nursing record information includes:

[0024] Establish a human ecological twin model;

[0025] Input postoperative pathological information, postoperative physiological information, and medical and nursing record information into the human ecological twin model, and reflect the physical changes of tumor patients in sequence according to the postoperative record date. Combined with the physical changes of tumor patients, generate electronic nursing medical records for tumor patients, and upload the electronic nursing medical records to the smart nursing platform;

[0026] Set physical and mental assessment standards, and input the pathological assessment results, physiological assessment results, and medical and nursing record information into the human ecological twin model. According to the physical and mental assessment standards, combined with the physical changes of tumor patients, pathological assessment results, and physiological assessment results, perform information overlap processing on tumor patients to obtain differential information, record the differential information as physical and mental assessment results, and upload the physical and mental assessment results to the doctor sub-platform;

[0027] Tumor patients were further analyzed based on the results of pathological, physiological, and physical and mental assessments.

[0028] Furthermore, based on the pathological evaluation results, the physiological evaluation results, and the psychosomatic evaluation results, the process of analyzing the tumor patient includes:

[0029] Medical staff access the smart nursing platform and conduct postoperative nursing treatment analysis on cancer patients based on their electronic nursing medical records and physical and mental assessment results, generate smart health conditioning information, and store the smart health conditioning information on the smart nursing platform;

[0030] A task status bar is set in the nursing sub-platform, which includes nursing tasks, task status and nursing staff. The task status includes "unassigned status", "assigned status" and "completed status". The task status bar in the nursing sub-platform generates nursing tasks according to the intelligent health conditioning information, assigns nursing tasks to nursing staff, and displays them in the task status bar. After the nursing staff completes the assigned nursing tasks, the task status in the task status bar is changed to "completed status" and uploaded to the doctor sub-platform for supervision of the nursing staff.

[0031] Furthermore, the nursing data supervision module monitors postoperative pathological information, postoperative physiological information, and medical staff's medical check information, and performs postoperative nursing management on tumor patients according to the intelligent health dynamic conditioning information, including:

[0032] Input the real-time monitored postoperative pathological information, postoperative physiological information, and medical staff's medical check-up information into the human ecological twin model;

[0033] Through the human ecological twin model, the intelligent health adjustment information is updated in real time to obtain intelligent health dynamic conditioning information, and the intelligent health dynamic conditioning information is uploaded to the doctor sub-platform to generate postoperative care planning information;

[0034] The postoperative care planning information includes nursing focus information and patient focus information. The doctor sub-platform sends the nursing focus information to the nursing sub-platform, and sends the patient focus information to the patient sub-platform. The patient sub-platform reminds the patient of the behaviors that need to be cooperated with in nursing and the patient status every day based on the patient focus information. The nursing sub-platform provides mobile care for the patient based on the nursing focus information and provides timely feedback to the doctor sub-platform.

[0035] Compared with the prior art, the beneficial effects of the present invention are: setting up a smart nursing platform, identity verification of persons logging into the smart nursing platform, improving the privacy of relevant information of patients and medical staff, setting up patient sub-platforms, nursing sub-platforms and doctor sub-platforms in the smart platform, and the patient sub-platforms, nursing sub-platforms and doctor sub-platforms communicate with each other, which is convenient for patients to communicate with medical staff, and medical staff can check the patient's condition in time, improve the efficiency of the patient's postoperative nursing tasks, analyze postoperative pathological information and postoperative physiological information, obtain pathological evaluation results and physiological evaluation results, establish a human ecological twin model through postoperative pathological information, postoperative physiological information, medical and nursing record information and human characteristics, so as to facilitate the observation of the patient's various physical indicators, pathological evaluation results, physiological evaluation results and physical and mental evaluation results, ensure the patient's physical and mental health, and adjust the patient's diet to increase the patient's recovery rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 This is a schematic diagram of an intelligent monitoring and management system for postoperative care of tumor patients according to an embodiment of the present application. DETAILED DESCRIPTION

[0037] like Figure 1 As shown, an intelligent monitoring and management system for postoperative care of tumor patients includes a management center, and the management center is communicatively connected to a nursing data acquisition module, a nursing data analysis module, a nursing data processing module, and a nursing data supervision module;

[0038] The nursing data collection module is used to collect postoperative pathological information, postoperative physiological information of tumor patients and medical care record information of medical staff;

[0039] The nursing data analysis module is used to set up a smart nursing platform, upload postoperative pathological information, postoperative physiological information and medical and nursing record information to the smart nursing platform, analyze the condition of the tumor patient, and obtain pathological evaluation results and physiological evaluation results;

[0040] The nursing data processing module is used for medical staff to conduct multi-faceted physical and mental assessments on tumor patients based on pathological assessment results, physiological assessment results, and medical and nursing record information, obtain physical and mental assessment results, and generate intelligent health conditioning information based on the pathological assessment results, physiological assessment results, and physical and mental assessment results;

[0041] The nursing data supervision module is used to monitor postoperative pathological information, postoperative physiological information and medical staff's medical record information, generate postoperative nursing planning information based on intelligent health conditioning information, and perform postoperative nursing management for tumor patients.

[0042] It should be further explained that, in the specific implementation process, the process of the nursing data collection module for collecting postoperative pathological information, postoperative physiological information of tumor patients and medical care record information of medical staff includes:

[0043] The nursing data collection module is provided with a patient care unit and a medical inspection unit;

[0044] The patient care unit is used to collect the patient's corresponding condition information, which includes postoperative pathological information and postoperative physiological information; the postoperative pathological information includes tumor surgery record data, drug treatment data, tumor status record data and patient basic data, the tumor surgery record data includes operation time, operation method, operation site and resection range; the drug treatment data includes drug name, dosage, method of use and frequency of use; the tumor status record data includes tumor markers, tumor location, tumor diameter, maximum tumor width and tumor morphology; the patient's basic data includes patient name, ID number, gender, age and real-name authenticated mobile phone number; an information upload terminal and an image acquisition terminal are provided, the information upload terminal is used by medical staff to record the tumor surgery record data and drug treatment data of the corresponding tumor patient; the image acquisition terminal is used by medical staff to collect and record the tumor status record data of the corresponding patient;

[0045] The postoperative physiological information includes postoperative physiological condition data and postoperative physiological change data; the physiological condition data includes postoperative recording date, body temperature, respiration, heart rate, blood pressure, blood oxygen saturation and incision healing; the postoperative physiological change data includes bleeding, infection, inflammation and edema;

[0046] The medical inspection unit is used to collect medical inspection information recorded by medical staff on tumor patients;

[0047] The medical and nursing record information includes basic data of nursing staff, basic data of doctors, nursing examination data and medical order data; the basic data of nursing staff includes name of nursing staff, gender of nursing staff, age of nursing staff, professional skills and length of service; the basic data of doctors includes name of doctors, gender of doctors, age of doctors, work experience and professional title; the nursing examination data includes pain examination, diet examination, incision healing and adverse reactions; the medical order data includes pain treatment, diet arrangement, incision recovery treatment and adverse reaction treatment, wherein an information upload terminal 2 is provided, and the information upload terminal 2 is used by medical staff to collect basic data of nursing staff and basic data of doctors and record nursing examination data and medical order data of patients.

[0048] It should be further explained that, in the specific implementation process, the nursing data analysis module is used to set up a smart nursing platform, upload postoperative pathological information, postoperative physiological information and medical and nursing record information to the smart nursing platform, analyze the condition of the tumor patient, and obtain the pathological evaluation results and physiological evaluation results. The process includes:

[0049] The smart nursing platform is provided with a patient sub-platform, a nursing sub-platform and a doctor sub-platform, and the patient sub-platform, the nursing sub-platform and the doctor sub-platform are interconnected;

[0050] The patient sub-platform is provided with a patient verification unit, which is used to verify the patient's identity; the nursing sub-platform is provided with a nursing verification unit, which is used to verify the nursing staff's identity; the doctor sub-platform is provided with a doctor verification unit, which is used to verify the doctor's identity; when the patient, the nursing staff and the doctor log in to the smart nursing platform, the identity verification is performed according to the basic data of the patient, the basic data of the nursing staff and the basic data of the doctor stored in the smart nursing platform, and the identity verification process is illustrated by an example: if the patient verification unit passes the patient identity verification, the patient will log in to the patient sub-platform to query personal related information;

[0051] It should be further explained that, in the specific implementation process, the smart nursing platform is used to record the postoperative pathological information and postoperative physiological information of tumor patients and the changes in the medical and nursing information recorded by medical staff during ward inspections of tumor patients, and is used for tumor patients and medical staff to interact with each other on postoperative treatment plans. The doctor sub-platform is used to analyze the doctor's postoperative pathological information, postoperative physiological information and medical and nursing information recorded on tumor patients to obtain patient treatment-related information of tumor patients, and send the patient treatment-related information of tumor patients to the patient sub-platform, send the nursing-related information formulated by the doctor according to the situation of the tumor patients to the nursing sub-platform, the patient sub-platform is used for patients to query nursing-related information and patient treatment-related information, the nursing sub-platform is used to assign nursing tasks to nursing staff according to nursing-related information, and feed back the medical and nursing information recorded to the doctor sub-platform for observation;

[0052] According to the basic patient data in the postoperative pathological information of the tumor patient, the postoperative pathological information and postoperative physiological information of the tumor patient are sorted and recorded; according to the postoperative record date, the postoperative pathological information and postoperative physiological information corresponding to the postoperative date are recorded to generate a pathological observation record chart and a physiological observation record chart;

[0053] The pathological observation record chart is a line chart drawn based on the changes of all data in the postoperative pathological information according to the postoperative record date;

[0054] The physiological observation record chart is a line chart drawn based on the changes of all data in the postoperative physiological information according to the postoperative recording date;

[0055] Pathological evaluation standards and physiological evaluation standards are set, abnormal features of the pathological observation record chart and the physiological observation record chart are extracted based on the natural language algorithm, the abnormal features corresponding to the pathological observation record chart and the abnormal features corresponding to the physiological observation record chart of the corresponding tumor patient are obtained, and the abnormal features corresponding to the pathological observation record chart and the physiological observation record chart are sent to medical staff. The medical staff analyzes the abnormal features corresponding to the pathological observation record chart and the physiological observation record chart of the tumor patient according to the pathological evaluation standards and the physiological evaluation standards to obtain pathological evaluation results and physiological evaluation results.

[0056] It should be further explained that, in the specific implementation process, the nursing data processing module is used by medical staff to conduct multiple physical and mental assessments on tumor patients according to the pathological assessment results, physiological assessment results and medical and nursing record information, obtain physical and mental assessment results, and generate intelligent health conditioning information according to the pathological assessment results, physiological assessment results and physical and mental assessment results. The process includes:

[0057] Establish a human ecological twin model;

[0058] It should be further explained that, in the specific implementation process, the human ecological twin model is used to simulate the changes in various vital signs of tumor patients, and is dynamically presented after statistics based on the postoperative record date;

[0059] Input postoperative pathological information, postoperative physiological information, and medical and nursing record information into the human ecological twin model, and reflect the physical changes of tumor patients in sequence according to the postoperative record date. Combined with the physical changes of tumor patients, generate electronic nursing medical records for tumor patients, and upload the electronic nursing medical records to the smart nursing platform;

[0060] Set physical and mental assessment standards, and input the pathological assessment results, physiological assessment results, and medical and nursing record information into the human ecological twin model. According to the physical and mental assessment standards, combined with the physical changes of tumor patients, pathological assessment results, and physiological assessment results, perform information overlap processing on tumor patients to obtain differential information, record the differential information as physical and mental assessment results, and upload the physical and mental assessment results to the smart nursing platform;

[0061] Medical staff access the smart nursing platform and conduct postoperative nursing treatment analysis on cancer patients based on their electronic nursing medical records and physical and mental assessment results, generate smart health conditioning information, and store the smart health conditioning information on the smart nursing platform;

[0062] A task status bar is set in the nursing sub-platform, which includes nursing tasks, task status and nursing staff. The task status includes "unassigned status", "assigned status" and "completed status". The task status bar in the nursing sub-platform generates nursing tasks according to the intelligent health conditioning information, assigns nursing tasks to nursing staff, and displays them in the task status bar. After the nursing staff completes the assigned nursing tasks, the task status in the task status bar is changed to "completed status" and uploaded to the doctor sub-platform for supervision of the nursing staff.

[0063] It should be further explained that, in the specific implementation process, the nursing data supervision module is used to monitor postoperative pathological information, postoperative physiological information and medical staff's medical check information, and to generate postoperative nursing planning information according to the intelligent health adjustment information, and the process of postoperative nursing management for tumor patients includes:

[0064] Real-time monitoring of postoperative pathological information, postoperative physiological information, and medical staff's medical check information, and inputting the real-time monitored postoperative pathological information, postoperative physiological information, and medical staff's medical check information into the human ecological twin model;

[0065] Through the human ecological twin model, the intelligent health adjustment information is updated in real time to obtain intelligent health dynamic conditioning information, which is then uploaded to the doctor sub-platform. Doctors analyze the intelligent health dynamic conditioning information of tumor patients and generate postoperative care planning information.

[0066] The postoperative care planning information includes nursing focus information and patient focus information. The doctor sub-platform sends the nursing focus information to the nursing sub-platform, and sends the patient focus information to the patient sub-platform. The patient sub-platform reminds the patient of the behaviors that need to be cooperated with nursing every day and the patient status based on the patient focus information. The nursing sub-platform provides mobile care for the patient based on the nursing focus information. Mobile care refers to the nursing process in which nursing staff adjust nursing tasks according to the patient's daily pathological and physiological conditions, and promptly provides feedback to the doctor sub-platform.

[0067] The above embodiments are only used to illustrate the technical method 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 method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An intelligent monitoring and management system for postoperative care of tumor patients, including a management center, characterized in that: The management center is communicatively connected to a nursing data acquisition module, a nursing data analysis module, a nursing data processing module and a nursing data supervision module; The nursing data collection module is used to collect postoperative pathological information, postoperative physiological information of tumor patients and medical care record information of medical staff; The nursing data analysis module is used to set up a smart nursing platform, upload postoperative pathological information, postoperative physiological information and medical and nursing record information to the smart nursing platform, analyze the condition of the tumor patient, and obtain pathological evaluation results and physiological evaluation results; The nursing data processing module is used for medical staff to conduct multi-faceted physical and mental assessments on tumor patients based on pathological assessment results, physiological assessment results, and medical and nursing record information, obtain physical and mental assessment results, and generate intelligent health conditioning information based on the pathological assessment results, physiological assessment results, and physical and mental assessment results; The nursing data supervision module is used to monitor postoperative pathological information, postoperative physiological information, and medical staff's medical check information, generate postoperative nursing planning information based on intelligent health conditioning information, and perform postoperative nursing management for tumor patients; The process of the nursing data acquisition module collecting postoperative pathological information, postoperative physiological information of tumor patients and medical care record information of medical staff includes: The nursing data collection module is provided with a patient care unit and a medical inspection unit; The patient care unit is used to collect the patient's corresponding condition information, which includes postoperative pathological information and postoperative physiological information; an information uploading terminal and an image acquisition terminal are provided, wherein the information uploading terminal is used by medical staff to record the tumor surgery record data and drug treatment data of the corresponding tumor patient; the image acquisition terminal is used by medical staff to collect and record the tumor status record data of the corresponding patient; The process of the medical inspection unit collecting medical inspection information of medical personnel's inspection records of tumor patients includes: The medical and nursing information includes basic data of nursing staff, basic data of doctors, nursing examination data and medical advice data; wherein an information uploading terminal 2 is provided, and the information uploading terminal 2 is used by medical and nursing staff to collect basic data of nursing staff and basic data of doctors and record nursing examination data and medical advice data of patients; The nursing data analysis module sets up a smart nursing platform, uploads postoperative pathological information, postoperative physiological information and medical and nursing record information to the smart nursing platform, and analyzes the condition of the tumor patient including: The smart nursing platform is provided with a patient sub-platform, a nursing sub-platform and a doctor sub-platform, and the patient sub-platform, the nursing sub-platform and the doctor sub-platform are interconnected; The patient sub-platform is provided with a patient verification unit, and the patient verification unit is used to verify the patient's identity; the nursing sub-platform is provided with a nursing verification unit, and the nursing verification unit is used to verify the nursing staff's identity; the doctor sub-platform is provided with a doctor verification unit, and the doctor verification unit is used to verify the doctor's identity; According to the basic patient data in the postoperative pathological information of the tumor patient, the postoperative pathological information and postoperative physiological information of the tumor patient are sorted and recorded; according to the postoperative record date, the postoperative pathological information and postoperative physiological information corresponding to the postoperative date are statistically recorded to generate a pathological observation record chart and a physiological observation record chart; The pathological observation record chart is a line chart drawn based on the changes of all data in the postoperative pathological information according to the postoperative record date; The physiological observation record chart is a line chart drawn based on the changes of all data in the postoperative physiological information according to the postoperative recording date; Analyze the condition of tumor patients based on pathological observation records and physiological observation records; The process of analyzing the condition of tumor patients based on pathological observation records and physiological observation records includes: Pathological evaluation standards and physiological evaluation standards are set, abnormality features of pathological observation record images and physiological observation record images are extracted based on natural language algorithms, abnormality features corresponding to the pathological observation record images and physiological observation record images of corresponding tumor patients are obtained, and the abnormality features corresponding to the pathological observation record images and physiological observation record images are sent to medical staff, who analyze the abnormality features corresponding to the pathological observation record images and physiological observation record images of tumor patients according to the pathological evaluation standards and physiological evaluation standards, obtain pathological evaluation results and physiological evaluation results, and upload the pathological evaluation results and physiological evaluation results to the doctor sub-platform; The process in which the medical staff of the nursing data processing module conducts a multi-faceted physical and mental assessment of the tumor patient based on the pathological assessment results, physiological assessment results, and medical and nursing record information includes: Establish a human ecological twin model; Input postoperative pathological information, postoperative physiological information, and medical and nursing record information into the human ecological twin model, and reflect the physical changes of tumor patients in sequence according to the postoperative record date. Combined with the physical changes of tumor patients, generate electronic nursing medical records for tumor patients, and upload the electronic nursing medical records to the smart nursing platform; Set physical and mental assessment standards, and input the pathological assessment results, physiological assessment results, and medical and nursing record information into the human ecological twin model. According to the physical and mental assessment standards, combined with the physical changes of tumor patients, pathological assessment results, and physiological assessment results, perform information overlap processing on tumor patients to obtain differential information, record the differential information as physical and mental assessment results, and upload the physical and mental assessment results to the doctor sub-platform; Tumor patients were further analyzed based on the results of pathological, physiological, and psychosomatic assessments; Based on the results of pathological, physiological, and psychosomatic assessments, the process of analyzing cancer patients includes: Medical staff access the smart nursing platform and conduct postoperative nursing treatment analysis on cancer patients based on their electronic nursing medical records and physical and mental assessment results, generate smart health conditioning information, and store the smart health conditioning information on the smart nursing platform; A task status bar is set in the nursing sub-platform, and the task status bar includes nursing tasks, task status and nursing staff. The task status includes "unassigned status", "assigned status" and "completed status". The task status bar in the nursing sub-platform generates nursing tasks according to the intelligent health conditioning information, assigns nursing tasks to nursing staff, and displays them in the task status bar. After the nursing staff completes the assigned nursing tasks, the task status in the task status bar is changed to "completed status" and uploaded to the doctor sub-platform for supervision of the nursing staff; The nursing data supervision module monitors postoperative pathological information, postoperative physiological information, and medical staff's medical check information, and performs postoperative nursing management on tumor patients according to the intelligent health dynamic conditioning information, including: Input the real-time monitored postoperative pathological information, postoperative physiological information, and medical staff's medical check-up information into the human ecological twin model; Through the human ecological twin model, the intelligent health adjustment information is updated in real time to obtain intelligent health dynamic conditioning information, and the intelligent health dynamic conditioning information is uploaded to the doctor sub-platform to generate postoperative care planning information; The postoperative care planning information includes nursing focus information and patient focus information. The doctor sub-platform sends the nursing focus information to the nursing sub-platform, and sends the patient focus information to the patient sub-platform. The patient sub-platform reminds the patient of the behaviors that need to be cooperated with in nursing and the patient status every day based on the patient focus information. The nursing sub-platform provides mobile care for the patient based on the nursing focus information and provides timely feedback to the doctor sub-platform.

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