An artificial intelligence-based tumor rehabilitation nursing system

CN122889349APending Publication Date: 2026-10-09THE AFFILIATED HOSPITAL OF GUIZHOU MEDICAL UNIV
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Patent Information

Application Number
CN202510180734.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-19
Publication Date
2026-10-09

AI Technical Summary

Technical Problem

[0005]本发明的目的在于提供一种基于人工智能的肿瘤康复护理系统,以解决上述背景技术中提出由于每个患者的既往病史以及肿瘤的手术情况不一样使得实际的应用场合中,康复设备与工作人员的护理工作之间联动感较弱,难以更好辅助工作人员进行肿瘤康复护理,且现有的医院康复护理工作中不能够满足对用户信息的储存与分析,使得人工智能的使用范围受限的问题

Benefits of technology

[0044]与现有技术相比,本发明的有益效果是:该基于人工智能的肿瘤康复护理系统:

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Abstract

The application relates to the technical field of stamping dies and discloses a tumor rehabilitation nursing system based on artificial intelligence, which comprises the following operation steps: S1. A touch display screen of a rehabilitation patient end is used to file a patient in need of tumor rehabilitation. The tumor rehabilitation nursing system based on artificial intelligence quickly collects and transmits past medical histories in the rehabilitation patient end, patient medical diagnosis information, patient drug use information and patient biological sign information through an electronic information acquisition module and an Internet of Things communication module, cooperates with a data analysis module and a medical system docking module in the rehabilitation medical care end, and uploads and acquires data through a web remote communication module, so that the nursing state and rehabilitation content and sign information of the patient after tumor surgery are uploaded to the cloud in a digitized state, information retrieval is quickly carried out by staff, and the staff can better assist in processing the tumor rehabilitation nursing of the patient.
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Description

Technical Field

[0001] This invention relates to the field of rehabilitation nursing technology, specifically to an artificial intelligence-based tumor rehabilitation nursing system. Background Technology

[0002] Oncology nursing provides daily care for cancer patients and those who have undergone oncology surgery, while also supporting individual patient health, coordinating efforts to achieve better recovery outcomes during cancer treatment, ensuring safe cancer treatment through standardized care, assessing treatment complications, helping manage symptoms, and optimizing quality of life. With the upgrading of computer hardware, the generation of large-scale datasets, and advancements in algorithms, artificial intelligence has made rapid progress in recent years. Due to the increasing demand for oncology nursing, combining oncology nursing with artificial intelligence can better manage oncology care, reduce nurses' workload, enhance their capabilities, and help meet various unmet needs in patient care. However, existing AI-based oncology rehabilitation nursing systems have some shortcomings in their use, such as:

[0003] Existing systems that use artificial intelligence to assist in tumor rehabilitation nursing directly collect data. However, due to the differences in each patient's medical history and tumor surgery, the linkage between rehabilitation equipment and nursing staff is weak in actual applications, making it difficult to better assist staff in tumor rehabilitation nursing. Furthermore, existing hospital rehabilitation nursing work cannot meet the requirements for storing and analyzing user information, thus limiting the scope of artificial intelligence application.

[0004] To address the aforementioned issues, there is an urgent need for innovative design based on the existing rehabilitation and nursing system. Summary of the Invention

[0005] The purpose of this invention is to provide an artificial intelligence-based tumor rehabilitation nursing system to address the problems mentioned in the background art, such as the weak linkage between rehabilitation equipment and nursing staff in actual applications due to the different past medical history and tumor surgical conditions of each patient, making it difficult to better assist staff in tumor rehabilitation nursing, and the inability of existing hospital rehabilitation nursing work to meet the requirements of storing and analyzing user information, thus limiting the scope of artificial intelligence application.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an artificial intelligence-based tumor rehabilitation nursing system, comprising the following operational steps:

[0007] S1. The touch screen on the rehabilitation patient end creates a file for patients who need tumor rehabilitation, enabling patients using the touch screen to establish personal account information. The personal information module of the patient is formed by inputting past medical history and information after tumor treatment. According to the doctor's advice, the patient can make an appointment for rehabilitation equipment in the personalized service module of the touch screen, and simultaneously make an appointment for corresponding physical examination information according to the patient's physical information.

[0008] S2. Medical and nursing staff can use the LCD screen of the rehabilitation medical care terminal and external input devices to check and mark the information in the patient's file in real time, mark the rehabilitation care appointments of patients, and mark the information of patients who need special attention, so as to facilitate the rapid identification of staff and facilitate the progress of subsequent work. Based on the patient's biological signs and appointment content, rehabilitation equipment for the patient can be borrowed. The patient's vital signs data are formed by the recording of data such as heart rate, blood oxygen, blood pressure and respiratory status by rehabilitation equipment.

[0009] S3. After the data analysis module in the medical staff's terminal analyzes the patient's vital signs and daily rehabilitation training content, the patient's vital signs data are compared to assess the patient's physical condition after rehabilitation training. Medical staff record the patient's rehabilitation content and status through external input devices.

[0010] S4. The patient marking and rehabilitation content is recorded by the data analysis module and the patient biometrics module to record the patient's status throughout the entire training and rehabilitation process. In conjunction with the medical system docking module, the corresponding patient physical signs information is sent to the responsible doctor to assist the doctor in diagnosing the patient's physical rehabilitation after tumor treatment. At the same time, the patient service marking module provides faster processing results for medical staff who receive patients every day.

[0011] By adopting the above technical solutions, rehabilitation staff can quickly grasp the relevant information of cancer rehabilitation patients, thus assisting in their work.

[0012] Preferably, the rehabilitation patient terminal in step S1 includes:

[0013] The touch screen is used to create information files for cancer rehabilitation patients, and the medical diagnosis record module and the past medical history input module can record and file the patient's vital signs in real time.

[0014] A display camera, which is connected to the touch screen and works with the patient's remote communication module to communicate with a contact via video;

[0015] The voice broadcast module, together with the display camera and touch screen, enables the patient to communicate remotely with their contact.

[0016] The Internet of Things (IoT) communication module sends the medical diagnosis record module, the past medical history input module, and the file information in the touch screen to the rehabilitation worker service desk.

[0017] The patient data processing module analyzes and processes the data obtained from the patient physical examination appointment module and the equipment testing module, and reminds patients of their daily rehabilitation care content.

[0018] The instrument data processing module records the patient's physical condition during the use of the equipment testing module.

[0019] The electronic information acquisition module sends the patient's physical information and daily rehabilitation care content acquired by the instrument data processing module to the rehabilitation worker service desk.

[0020] By adopting the above technical solutions, we can better provide targeted services to patients and help them recover.

[0021] Preferably, the display camera and the voice broadcast module enable interactive voice and video communication, which, together with the remote communication module, assists the patient in making calls.

[0022] The above technical solution facilitates remote consultations and calls between patients and doctors.

[0023] Preferably, the IoT communication module, instrument data processing module, and electronic information acquisition module work together to send the acquired patient vital signs and rehabilitation information to the medical system of the rehabilitation service desk.

[0024] The above technical solution enables patients' vital signs information to be quickly sent to the medical system.

[0025] Preferably, the rehabilitation medical care terminal in step 2 includes:

[0026] The LCD screen displays patient registration data from the medical diagnosis display module and the past medical history display module to rehabilitation medical staff, while also displaying patient physical examination appointment information.

[0027] An external input device, in conjunction with the LCD screen, operates and inputs data information, providing corresponding content to the patient service marking module;

[0028] The patient biometrics module records the patient's vital signs data during the use of rehabilitation equipment booked in the rehabilitation equipment reservation module, and collects the patient's physical examination data.

[0029] The rehabilitation equipment borrowing module makes it easy for patients to view the time available for rehabilitation equipment and adjust the appointment time slots for rehabilitation equipment.

[0030] The data analysis module performs data analysis on the obtained patient vital signs and physical examination information, and evaluates the patient's physical data during the recovery period;

[0031] The medical system interface module connects to the medical system data, retrieves patient information, and is used to verify the patient's past medical history and medication information, and synchronizes with the doctor;

[0032] The patient service tagging module allows rehabilitation healthcare staff to tag patients.

[0033] The above technical solution facilitates the centralized management and treatment of multiple patients by medical staff.

[0034] Preferably, the LCD screen and the external input device constitute a work retrieval device for medical staff to quickly search for patient records.

[0035] The above technical solution facilitates medical staff to quickly understand the patient's condition.

[0036] Preferably, the rehabilitation equipment in the rehabilitation equipment borrowing module includes limb exercise equipment, breathing exercise equipment, and walking aids.

[0037] By adopting the above technical solutions, the use of rehabilitation assistive devices can help patients better restore their physical functions and improve their quality of life.

[0038] Preferably, the data analysis module, medical system integration module, and patient service tagging module upload the acquired information to the cloud server via the web remote communication module for use in conjunction with the medical system.

[0039] The above technical solution facilitates real-time monitoring of the patient status by doctors using the medical system.

[0040] Preferably, the limb exercise device includes a traction device, a flexor / extensor device, and a strength trainer.

[0041] Using the above technical solutions, functional exercise devices can help cancer patients with exercise recovery training, enhance muscle strength, and improve joint mobility.

[0042] Preferably, the breathing exercise device includes a respiratory muscle strength trainer and a vital capacity trainer.

[0043] The above-mentioned technical solutions are used to help patients recover their lungs, improve their lung capacity, and alleviate symptoms of shortness of breath.

[0044] Compared with existing technologies, the beneficial effects of this invention are: the artificial intelligence-based tumor rehabilitation nursing system:

[0045] 1. During use, the electronic information acquisition module and the Internet of Things communication module quickly centralize and transmit the patient's past medical history, medical diagnosis information, medication information, and vital signs information from the rehabilitation patient's terminal. In conjunction with the data analysis module and medical system interface module in the rehabilitation medical care terminal, and the web remote communication module, data is uploaded and retrieved. This allows the patient's post-tumor surgery nursing status, rehabilitation content, and vital signs information to be uploaded to the cloud in a digital state, making it easy for staff to quickly query through information retrieval and better assisting staff in handling the patient's tumor rehabilitation nursing care.

[0046] 2. With the Internet of Things connecting the rehabilitation patient end and the rehabilitation medical care end, the information within the two terminals is identical. On the rehabilitation patient end, patients can make appointments for physical examinations, select personalized services, and reserve rehabilitation equipment. On the rehabilitation medical care end, the corresponding patient's medical records can be retrieved, and the appointment times for physical examinations and rehabilitation equipment can be adjusted to better assist medical staff in their work. Through artificial intelligence learning by the data analysis module and the patient data processing module, data support is provided for the disease risk assessment module on the rehabilitation medical care end. Attached Figure Description

[0047] Figure 1 This is a schematic diagram of the rehabilitation process steps of the present invention;

[0048] Figure 2 This is a schematic diagram of the patient-side and medical staff-side modules of the present invention;

[0049] Figure 3 This is a schematic diagram of the medical diagnostic information content of the present invention;

[0050] Figure 4 This is a schematic diagram of the rehabilitation patient terminal device of the present invention;

[0051] Figure 5 This is a schematic diagram of the rehabilitation and medical care terminal device of the present invention;

[0052] Figure 6 This is a schematic diagram of the rehabilitation equipment of the present invention.

[0053] In the diagram: 1. Touchscreen display; 2. Display camera; 3. Voice broadcast module; 4. IoT communication module; 5. Patient data processing module; 6. Instrument data processing module; 7. Electronic information acquisition module; 8. LCD display; 9. External input device; 10. Patient biometrics module; 11. Rehabilitation equipment borrowing module; 12. Data analysis module; 13. Medical system integration module; 14. Patient service tagging module. Detailed Implementation

[0054] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0055] Please see Figure 1-6 This invention provides a technical solution: an artificial intelligence-based tumor rehabilitation and nursing system, comprising the following operational steps:

[0056] S1. The touch screen 1 on the rehabilitation patient end creates a file for patients who need tumor rehabilitation, so that patients using the touch screen 1 can create personal account information. The patient's personal information module is formed by inputting past medical history and tumor treatment information. According to the doctor's advice, the patient can make an appointment for rehabilitation equipment in the personalized service module of the touch screen 1, and simultaneously make an appointment for corresponding physical examination information according to the patient's physical information.

[0057] S2. Medical and nursing staff use the LCD screen 8 of the rehabilitation medical care terminal and the external input device 9 to check and mark the information in the patient's file in real time, mark the rehabilitation care appointments of the patients, and mark the information of patients who need special attention, so as to facilitate the staff to quickly identify and facilitate the progress of subsequent work. According to the patient's biological signs and appointment content, the rehabilitation equipment of the patient can be borrowed. The patient's vital signs data are formed by the recording of data such as heart rate, blood oxygen, blood pressure and respiratory status of the rehabilitation equipment.

[0058] S3. After the data analysis module 12 in the medical staff's terminal compares the patient's vital signs with the daily rehabilitation training content, the patient's vital signs data are compared to assess the patient's physical condition after rehabilitation training. The medical staff record the patient's rehabilitation content and status through the external input device 9.

[0059] S4. The patient marking rehabilitation content is recorded by the data analysis module 12 and the patient biometrics module 10 to record the patient's status in the complete training and rehabilitation process. In conjunction with the medical system docking module 13, the corresponding patient physical signs information is sent to the responsible doctor to assist the doctor in diagnosing the patient's physical rehabilitation after tumor treatment. At the same time, the patient service marking module 14 provides faster processing results for medical staff who receive patients every day.

[0060] Referring to the attached diagrams in the instruction manual Figure 1-6As shown, during use, based on the patient's verbal description and examination records, medical staff operate the touch screen 1 on the rehabilitation patient terminal to create a file. In conjunction with the electronic information acquisition module 7, medical diagnostic information and past medical history are input. This simple data from the rehabilitation patient terminal is then sent to the rehabilitation medical staff terminal via the IoT communication module 4. This allows rotating medical staff to quickly familiarize themselves with the information of the patients they are responsible for. Patients can schedule physical examinations through the physical examination appointment module on the rehabilitation patient terminal. Simultaneously, the personalized service module provides patients with different physical care tasks and allows them to schedule the use of rehabilitation equipment. The rehabilitation equipment borrowing module 11 on the rehabilitation medical staff terminal processes the patient's use of rehabilitation equipment, facilitating the... The system manages patient appointments for equipment and times, better assisting staff in their operations. The patient service tagging module 14 in the rehabilitation medical care terminal provides corresponding evaluations and annotations for each patient, offering assistance to the receiving staff. This better supports patients in their rehabilitation care while facilitating the work of staff. During rehabilitation training using the rehabilitation equipment, based on the patient's vital signs and appointment details, sensors on the equipment record data such as heart rate, blood oxygen, blood pressure, and respiratory status in real time. This allows medical staff to monitor the patient's rehabilitation status in real time, preventing excessive rehabilitation training from negatively impacting the patient's physical condition.

[0061] The patient-side component in step S1 includes:

[0062] The touch screen 1 is used to create information files for cancer rehabilitation patients, so that the medical diagnosis record module and the past medical history input module can record and file the patient's vital signs in real time.

[0063] The display camera 2 is connected to the touch screen 1 and works with the patient's remote communication module and contact person video. The display camera 2 and the voice broadcast module 3 realize interactive voice and video communication, and work with the remote communication module to assist the patient in making calls.

[0064] The voice broadcast module 3, together with the display camera 2 and the touch display screen 1, enables the patient's remote communication module to communicate with the contact person;

[0065] The Internet of Things (IoT) communication module 4 sends the medical diagnosis record module, past medical history input module, and file information in the touch screen 1 to the rehabilitation worker service desk. The IoT communication module 4, instrument data processing module 6, and electronic information acquisition module 7 work together to send the acquired patient vital signs information and rehabilitation information to the medical system of the rehabilitation service desk.

[0066] Patient data processing module 5 analyzes and processes the data obtained from the patient physical examination appointment module and the equipment testing module, and reminds patients of their daily rehabilitation care content;

[0067] Instrument data processing module 6 records the patient's physical condition during use by the equipment detection module;

[0068] The electronic information acquisition module 7 sends the patient's physical information and daily rehabilitation care content acquired by the instrument data processing module 6 from the equipment detection module to the rehabilitation worker service desk.

[0069] Referring to the attached diagrams in the instruction manual Figure 1-6 As shown, during use, the touch screen 1 on the rehabilitation patient terminal displays the patient's corresponding identity information and medical diagnosis history. In conjunction with physical examination appointments and device monitoring displays, it provides sufficient information sources for the patient data processing module 5 and the electronic information acquisition module 7. During use, the rehabilitation patient terminal and the rehabilitation equipment are connected via Bluetooth signal through the Internet of Things communication module 4. This facilitates the cooperation between the electronic information acquisition module 7 and the instrument data processing module 6 inside the rehabilitation patient terminal to monitor the patient's heart rate abnormalities, blood pressure changes, and blood oxygen levels in real time during rehabilitation. The display camera 2 and voice broadcast module 3 located in the touch screen 1 enable remote consultation with doctors, facilitating regular communication and status observation between doctors and patients. During use, the Internet of Things communication module 4 transmits the patient's vital signs data acquired by the electronic information acquisition module 7 to the medical system through the patient data processing module 5 and the instrument data processing module 6, improving the ability of medical staff to quickly observe the patient's disease and tumor rehabilitation status.

[0070] The rehabilitation medical care terminal in step 2 includes:

[0071] The LCD screen 8 displays the patient's registration data to rehabilitation medical staff by showing the data from the medical diagnosis display module and the past medical history display module. At the same time, it displays the patient's physical examination appointment information display module. The LCD screen 8 and the external input device 9 constitute the work retrieval device for medical staff to quickly search for the patient's registration content.

[0072] External input device 9, in conjunction with LCD screen 8, operates and inputs data information, and inputs corresponding content for patient service marking module 14;

[0073] The patient biometrics module 10 records the patient's vital signs data during the use of rehabilitation equipment booked in the rehabilitation equipment reservation module, and collects the patient's physical examination data.

[0074] The rehabilitation equipment borrowing module 11 facilitates patients to view the time available for rehabilitation equipment and adjust the time slot for the reservation. The rehabilitation equipment in the rehabilitation equipment borrowing module 11 includes limb exercise equipment, breathing exercise equipment and walking aids. The limb exercise equipment includes traction devices, flexion and extension devices and strength training devices. The breathing exercise equipment includes respiratory muscle strength training devices and vital capacity training devices.

[0075] Data analysis module 12 performs data analysis on the obtained patient vital signs and physical examination information, and evaluates the patient's physical data during the recovery period. Data analysis module 12, medical system docking module 13 and patient service marking module 14 upload the obtained information to the cloud server through the web remote communication module for use in conjunction with the medical system.

[0076] Medical system interface module 13 connects to the medical system data, pulls patient information, and is used to verify the patient's past medical history and medication information, and synchronizes with the doctor;

[0077] Patient service tagging module 14 allows rehabilitation medical staff to tag patients;

[0078] Referring to the attached diagrams in the instruction manual Figure 1-6 As shown, during the work of rehabilitation medical staff, the LCD screen 8 at the service desk and the external input device 9 constitute the main body for data retrieval and input adjustment. This facilitates the query of patient information and vital signs through the patient biometrics module 10 and the rapid retrieval of the borrowing destination of medical equipment through the rehabilitation equipment borrowing module 11, thus accelerating the efficiency of information transmission. In conjunction with the data analysis module 12 and the patient data processing module 5 in the rehabilitation patient terminal, data is merged to analyze the corresponding patient's physical data. This enables the disease risk assessment module in the rehabilitation medical staff terminal to analyze the patient's status through artificial intelligence learning. In conjunction with the web remote communication module, the corresponding data and assessment data are sent to the doctor in charge of the patient. During the use of rehabilitation equipment, the traction device, flexor and extension device, and strength training device of the limb exercise equipment can help cancer patients carry out exercise recovery training, enhance muscle strength, and improve joint mobility. For patients with limb dysfunction or muscle weakness caused by surgery or radiotherapy, respiratory muscle strengthening devices and lung capacity trainers in respiratory exercise equipment can help lung rehabilitation, improve lung capacity, and alleviate symptoms of shortness of breath. For patients with decreased lung function caused by surgery or radiotherapy, walking aids can help cancer patients with limited mobility to better perform daily activities and improve their self-care ability. For patients who need to rely on others or use crutches or walking frames, walking aids are an important assistive tool. Common walking aids include crutches, walking frames, wheelchairs, etc.

[0079] By using the rehabilitation assistive devices recommended above, oncology patients can better recover their physical functions, improve their self-care abilities, and adjust their mental state. However, the selection and use of these assistive devices should be personalized based on the patient's specific condition and rehabilitation needs, following the guidance of a doctor or professional rehabilitation therapist to ensure safe and effective use. The choice of devices should be based on the patient's specific circumstances. These assistive devices can help patients better recover and rehabilitate, improve their abilities, and alleviate pain. Doctors should guide rehabilitation training during the rehabilitation period and help patients rationally select appropriate assistive devices to achieve better rehabilitation results.

[0080] Working Principle: When using this AI-based tumor rehabilitation nursing system, the patient's past medical history and medical diagnosis records are first directly input into the touch screen 1 at the rehabilitation patient's end to create a file for the tumor rehabilitation patient. This file records the patient's biological signs, medical diagnosis information, and medication information, facilitating staff's rapid understanding of the patient's information. During remote consultations between patients and doctors, the touch screen 1, the display camera 2, and the voice broadcast module 3 enable voice and video interaction. The IoT communication module 4 facilitates information transmission and remote communication. Simultaneously, doctors connect to the electronic information acquisition module 7 at the rehabilitation patient's end via a cloud server to observe the patient's rehabilitation data over this period. This is combined with information collected from the patient's physical examination indicators, the patient's biological indicators module 10 at the rehabilitation medical care end, the data analysis module 12, and the rehabilitation equipment borrowing module 11. This allows the rehabilitation process to be systematically recorded in a timeline format, facilitating rapid understanding of the patient's condition by medical staff and assisting in their work.

[0081] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An artificial intelligence-based tumor rehabilitation nursing system, characterized in that, The following steps are included: S1. The patient's file is created through the touch screen (1) on the rehabilitation patient's end, so that the patient using the touch screen (1) can establish personal account information. The patient's personal information module is formed by inputting past medical history and information after tumor treatment. According to the doctor's order, the patient can make an appointment for rehabilitation equipment in the personalized service module of the touch screen (1) and make an appointment for corresponding physical examination information according to the patient's physical information. S2. Medical and nursing staff use the LCD screen (8) of the rehabilitation medical and nursing terminal and the external input device (9) to check and mark the information in the patient's file in real time, mark the rehabilitation nursing appointment of the patient, mark the information of patients who need special attention, so as to facilitate the staff to quickly identify and facilitate the progress of the work later. According to the patient's biological signs and appointment content, the rehabilitation equipment of the patient is borrowed. The patient's vital signs data are formed by the recording of the patient's heart rate, blood oxygen, blood pressure and respiratory status through the rehabilitation equipment. S3. After the data analysis module (12) in the medical staff's terminal of the rehabilitation staff compares the patient's physical condition with the daily rehabilitation training content, the patient's physical condition data is compared to assess the patient's physical condition after rehabilitation training. The medical staff records the patient's rehabilitation content and status through the external input device (9). S4. The patient marking rehabilitation content is recorded by the data analysis module (12) and the patient biometrics module (10) to record the patient's status in the complete training and rehabilitation process. In conjunction with the medical system docking module (13), the corresponding patient physical signs information is sent to the responsible doctor to assist the doctor in diagnosing the patient's physical rehabilitation after tumor treatment. At the same time, the patient service marking module (14) provides faster processing results for medical staff who receive patients every day.

2. The artificial intelligence-based tumor rehabilitation nursing system according to claim 1, characterized in that: The patient rehabilitation terminal in step S1 includes: The touch screen (1) is used to file information for cancer rehabilitation patients, so that the medical diagnosis record module and the past medical history input module can record and file the patient's vital signs in real time. The display camera (2) is connected to the touch display screen (1) to cooperate with the patient's remote communication module and video with the contact person; The voice broadcast module (3), together with the display camera (2) and the touch display screen (1), enables the patient's remote communication module to communicate with the contact person; The Internet of Things communication module (4) sends the medical diagnosis record module, the past medical history input module, and the filing information in the touch screen (1) to the rehabilitation worker service desk; The patient data processing module (5) analyzes and processes the data obtained by the patient physical examination appointment module and the equipment testing module, and reminds patients of their daily rehabilitation care content. The instrument data processing module (6) records the patient's physical condition during use by the equipment detection module; The electronic information acquisition module (7) sends the patient's physical information and the patient's daily rehabilitation care content acquired by the instrument data processing module (6) to the rehabilitation worker service desk.

3. The tumor rehabilitation nursing system based on artificial intelligence according to claim 2, characterized in that: The display camera (2) and the voice broadcast module (3) enable interactive voice and video communication, and work with the remote communication module to assist the patient in making calls.

4. The artificial intelligence-based tumor rehabilitation nursing system according to claim 2, characterized in that: The IoT communication module (4), instrument data processing module (6) and electronic information acquisition module (7) work together to send the acquired patient vital signs information and rehabilitation information to the medical system of the rehabilitation service station.

5. The artificial intelligence-based tumor rehabilitation nursing system according to claim 1, characterized in that: The rehabilitation medical care terminal in step 2 includes: The LCD screen (8) displays the patient's registration data to rehabilitation medical staff by showing the data from the medical diagnosis display module and the past medical history display module, and at the same time displays the patient's physical examination appointment information display module. An external input device (9) is used in conjunction with the LCD screen (8) to operate and input data information, and input corresponding content into the patient service marking module (14); The patient biometrics module (10) records the patient's physical signs during the use of rehabilitation equipment booked in the rehabilitation equipment booking module, and collects the patient's physical examination data. The rehabilitation equipment borrowing module (11) facilitates the viewing of patients' access to rehabilitation equipment and the adjustment of the scheduled time for rehabilitation equipment; The data analysis module (12) performs data analysis on the obtained patient vital signs and physical examination information, and evaluates the patient's physical data during the recovery period; The medical system docking module (13) connects to the medical system data, pulls patient information, and is used to verify the patient's past medical history and medication information, and synchronizes with the doctor; The patient service tagging module (14) allows rehabilitation medical staff to tag patients.

6. The tumor rehabilitation nursing system based on artificial intelligence according to claim 5, characterized in that: The LCD screen (8) and the external input device (9) constitute a work retrieval device for medical staff to quickly search for patient records.

7. The artificial intelligence-based tumor rehabilitation nursing system according to claim 5, characterized in that: The rehabilitation equipment in the rehabilitation equipment borrowing module (11) includes limb exercise equipment, breathing exercise equipment and walking aids.

8. The tumor rehabilitation nursing system based on artificial intelligence according to claim 5, characterized in that: The data analysis module (12), medical system docking module (13), and patient service marking module (14) upload the acquired information to the cloud server through the web remote communication module for use in conjunction with the medical system.

9. The tumor rehabilitation nursing system based on artificial intelligence according to claim 7, characterized in that: The limb exercise equipment includes a traction device, a flexor / extension device, and a strength training device.

10. The artificial intelligence-based tumor rehabilitation nursing system according to claim 7, characterized in that: The breathing exercise equipment includes a respiratory muscle strength trainer and a lung capacity trainer.