Patient terminal, medical care terminal and lower limb deep vein thrombosis monitoring system

Abstract

The invention relates to a patient terminal, a medical care terminal and a lower limb deep vein thrombosis monitoring system, the patient terminal is in data connection with the medical care terminal, establishes data interaction with at least one monitoring device, and is used for obtaining scale data and / or physiological data related to prevention of lower limb deep vein thrombosis of a target patient; wherein the patient terminal is configured to obtain the core body temperature of a target patient and at least one lower limb far-end skin temperature by using monitoring equipment, and determine a temperature difference value based on the core body temperature and the at least one lower limb far-end skin temperature; determining the change rate of the temperature difference value related to time as the temperature difference fluctuation rate; when the temperature difference fluctuation ratio exceeds a temperature difference fluctuation ratio range preset by the medical care terminal, the patient terminal sends an emergency tag indicating an emergency situation and current scale data of a corresponding patient to the medical care terminal; and the medical care terminal analyzes the current scale data of the corresponding patient in an emergency mode and emergently determines whether an early warning signal needs to be sent to the patient terminal or not.

Description

[0001] The original basis of the divisional application is a patent application with application number 202410674025.3, application date May 28, 2024, and invention name "A system for preventing lower extremity deep vein thrombosis". TECHNICAL FIELD

[0002] The present application relates to the technical field of medical care, in particular to a patient terminal, a medical care terminal and a lower extremity deep vein thrombosis monitoring system. BACKGROUND

[0003] In the current field of medical care, although there are various methods and technologies for preventing lower extremity deep vein thrombosis, most of them still rely on the equipment and personnel of hospitals or professional medical institutions. However, with the saturation of medical resources in medical institutions and the increasing demand for home rehabilitation of patients, how to effectively prevent lower extremity deep vein thrombosis in a home environment has become a pressing technical problem.

[0004] Traditional home care methods often rely on self-management and monitoring by patients or their family members, which not only is inefficient, but also is difficult to ensure accuracy and timeliness. In addition, due to the large differences in the conditions and individual differences of different patients, traditional care methods often fail to provide personalized care solutions, resulting in poor care effect.

[0005] In recent years, with the rapid development of artificial intelligence technology, its application in the field of medical care has also gradually expanded. However, most current researches still focus on the scene of hospitals and other professional medical institutions, and the application in the home environment is relatively less. Therefore, it is of great significance to develop an intelligent support system that can prevent lower extremity deep vein thrombosis in a home environment. However, there is currently a lack of corresponding standardized training sets and no standardized database for reference.

[0006] The existing medical-related paper, Ding Hui, Zhang Pu, Gao Yue, Application Effect of 5A Nursing Intervention under Self-management Oriented Mode in Preventing Lower Limb Deep Venous Thrombosis of Patients after Cerebral Hemorrhage Surgery (J. Clinical Medicine Engineering, 2024, 31(01): 119-120) points out that DVT-related preventive measures need to be continuously carried out to be effective, and most patients with cerebral hemorrhage lack self-management ability, and it is difficult to adhere to the prevention work as prescribed. Therefore, the overall prevention effect of DVT is not ideal. The results of this study show that the ESCA score and lower limb venous blood flow velocity of the observation group after intervention are higher than those of the control group, and the incidence of DVT is lower than that of the control group, indicating that 5A nursing intervention under the self-management oriented mode can improve the self-management ability of patients with cerebral hemorrhage surgery, accelerate the blood flow velocity of the lower limbs, and reduce the risk of DVT formation. Therefore, during the patient's home rehabilitation period, continuous health management is carried out to meet the patient's nursing needs, improve their self-management ability, and ensure the implementation of DVT prevention measures such as lower limb exercise, limb massage, and hot compress, which can effectively promote blood circulation and metabolism in the lower limbs, prevent blood clotting factors from accumulating on the vascular intima, and greatly reduce the risk of DVT.

[0007] In this context, the present application proposes an intelligent support system for preventing lower limb deep venous thrombosis in a home environment. The system achieves real-time monitoring and evaluation of the patient's condition through feedback control, and develops personalized nursing programs according to the patient's specific situation. At the same time, the system can automatically adjust the nursing program according to the patient's feedback and changes in condition to ensure the timeliness and effectiveness of the nursing program. The present application aims to solve the problems and deficiencies in existing home nursing methods and achieve intelligent support and personalized nursing for preventing lower limb deep venous thrombosis in a home environment, providing more convenient and efficient rehabilitation services for patients.

[0008] CN111920677A discloses an acupoint electrical stimulation device for preventing lower limb deep venous thrombosis, including a device host, a connection line, an electrode patch, and a mobile terminal. This patent is particularly useful in conditions such as long-term sitting on airplanes, high-speed trains, etc. The patent can automatically adjust the start time, duration, interval time, and stimulation intensity of electrical stimulation. However, patients are not sure of their own condition development, and it is difficult to judge the possibility of lower limb deep venous thrombosis or deterioration. Patients cannot develop their own rehabilitation programs for lower limbs, and it is difficult to determine whether the electrical stimulation parameters provided by the device are suitable for their own physical condition. This may result in poor effectiveness of electrical stimulation, and even potential risks. Targetless electrical stimulation cannot reduce the incidence of lower limb deep venous thrombosis and post-thrombosis syndrome. This patent lacks the ability to develop personalized nursing programs based on individual differences and condition development of patients. The risk of lower limb deep venous thrombosis, the cause of formation, and the rehabilitation needs of each patient are different, and it is difficult to maximize the prevention effect without personalized nursing programs.

[0009] CN114203274A discloses a chronic respiratory failure patient remote rehabilitation training guidance system. The function evaluation device group of the system focuses on the respiratory muscle function, limb muscle strength, sputum excretion ability and other index detection of chronic respiratory failure patients. The collected data is irrelevant to DVT prevention. The function evaluation and rehabilitation training device group of the system aims at respiratory function recovery and whole body muscle strength training. There is no structure design of "wearing on the lower limbs of the patient", and no targeted nursing function to promote blood circulation and prevent thrombosis. In addition, the evaluation purpose of the system is to determine the respiratory rehabilitation ability level and develop a respiratory rehabilitation plan. It does not involve the evaluation logic of DVT formation or aggravation risk, nor the technical design of adjusting the nursing instructions based on the risk. It is difficult to provide related technical inspiration for DVT prevention.

[0010] CN117838510A discloses an external counterpulsation device and an external counterpulsation signal control method. The core of the technical solution is limited to the counterpulsation treatment scene of heart disease. The physiological signal acquisition unit only acquires electrocardiogram, blood oxygen saturation, pulse wave and other heart function related indexes, and does not involve DVT specific physiological data such as lower limb temperature and swelling degree. The data collection object is irrelevant to DVT prevention. The control logic of the technical solution is to adjust the air bag charging and discharging frequency and intensity based on the heart physiological signal. The purpose is to optimize the counterpulsation treatment effect of heart disease, rather than to evaluate the DVT risk or adjust the lower limb nursing instructions based on the risk.

[0011] CN115359865A discloses a case data pushing method and device, computer equipment and storage medium. The similar case retrieval is based on genetic data, case text, detection report and other general medical data. It does not involve DVT specific scale data such as lower limb circumference, temperature, Villalta score and pain score. The data type does not match the DVT prevention needs.

[0012] In the prior art, the prevention of deep vein thrombosis in the lower limbs of patients involves less. They mainly use auxiliary lower limb exercise or massage to prevent deep vein thrombosis in the lower limbs, and most of them do not consider the influence of individualized nursing measures on the nursing effect of patients. Especially in the process of home rehabilitation of patients for several years after surgery (especially in the process of preventing the formation or aggravation of deep vein thrombosis in the lower limbs), the prior art does not consider the feedback of patients during nursing rehabilitation and the changes in the corresponding condition in a long period of time. Therefore, it is necessary to realize home environment nursing with closed loop control, integrate feedback control and preferably artificial intelligence into home nursing, so as to improve the compliance of patients to the established treatment plan and quickly adapt to new or changing treatment strategies.

[0013] In addition, on the one hand, due to the difference in understanding of those skilled in the art; on the other hand, due to the fact that the applicant has studied a large number of literatures and patents when making the invention, but limited by the size and has not listed all the details and contents in detail, but this does not mean that the invention does not have these prior art characteristics, on the contrary, the invention has all the characteristics of the prior art, and the applicant reserves the right to add relevant prior art in the background art. SUMMARY

[0014] According to one object of the present application, the patient terminal of the present system, especially in the subscription mode, provides the medical terminal with scale data related to deep vein thrombosis of lower extremity, to fully support various postoperative home care and reduce ineffective reconsultation. This is because the prior art has already proposed a technical solution for quantitatively evaluating the risk of venous thrombosis of patients according to their clinical data to obtain a thrombosis risk level. For example, CN117672510A discloses a venous thrombosis risk assessment and control system and method, which includes a clinical data acquisition module for acquiring patient clinical data and sending the patient clinical data to a risk assessment module; a risk assessment module for evaluating the risk of venous thrombosis of patients according to patient clinical data to obtain a thrombosis risk level, and sending the thrombosis risk level to a quality control management module; and a quality control management module for determining a prevention strategy according to the thrombosis risk level, and implementing prevention measures for patients according to the prevention strategy. This technical solution corrects or supplements patient clinical data according to clinical state evaluation, provides accurate patient clinical data for subsequent venous thrombosis risk assessment, improves the accuracy of venous thrombosis assessment, and further reduces the incidence and mortality of venous thrombosis by generating a prevention strategy through the quality control management module to implement prevention measures for patients. This technical solution is mainly aimed at the situation where medical staff and patients are in the hospital at the same time, at which time the medical staff can easily grasp the current actual physiological data of the patients and provide corresponding risk prevention programs for the patients. However, for patients in home rehabilitation, the prior art lacks understanding of the real-time physiological data of the patients, thereby failing to provide a matching rehabilitation care program according to their actual state, and also failing to adjust the relevant care operations in a timely manner according to the impact on the patients when they receive the relevant care programs, resulting in a decrease in the accuracy of the setting and execution of the care programs, and further adversely affecting the actual rehabilitation effect of the patients.

[0015] In view of the deficiencies of the prior art, the present application provides a system for preventing deep vein thrombosis of lower extremities, comprising a medical terminal, at least one patient terminal and at least one nursing device. The medical terminal is used for medical staff to input or obtain patient personal information and / or illness information and / or treatment or medication information from a medical information system (such as a HIS system). The patient terminal can establish a data connection with the medical terminal, and in particular can regularly send data to the medical terminal in a subscription mode; and the patient terminal can be used for the patient to input scale data related to deep vein thrombosis of lower extremities; and the patient terminal can be bound with at least one nursing device to control the corresponding nursing device, for example, to provide instructions related to intensity, frequency, etc. The nursing device is used to implement nursing operation on the patient according to the instructions provided by the patient terminal (which can be in a corresponding subscription mode). The patient terminal can feed back the scale data related to deep vein thrombosis of lower extremities of the patient and the lower extremity nursing instructions related to the scale data to be sent to the nursing device to the medical terminal located in the medical institution. After obtaining the scale data related to deep vein thrombosis of lower extremities of the patient, the medical terminal calls a sample case for preventing deep vein thrombosis of lower extremities to formulate, update or confirm the current personalized prevention nursing scheme of the patient according to the data in the scale data that can reflect the current condition of the patient, and sends the prevention nursing scheme to the patient terminal in the form of lower extremity nursing instructions. The medical terminal can update the lower extremity nursing instructions according to the physiological data changes of the patient after receiving the nursing operation. The patient terminal controls the nursing device to perform the nursing operation according to the received lower extremity nursing instructions.

[0016] Unlike the prior art, the medical terminal of the present application can call a sample case for preventing deep vein thrombosis of lower extremities according to the multiple scale data related to deep vein thrombosis of lower extremities fed back by the patient terminal, in particular in a subscription mode, to formulate the current personalized prevention nursing scheme of the patient according to the data, prognosis data and nursing data in the scale data that can reflect the current condition of the patient, and the medical terminal can update the lower extremity nursing instructions according to the physiological data changes of the patient after receiving the nursing operation.

[0017] Based on the above distinguishing technical features, the problems to be solved by the present application can include: how to generate a corresponding nursing scheme according to the actual physiological parameters of the patient, and adjust the corresponding nursing scheme according to the changes of the actual physiological parameters of the patient, so as to achieve more accurate and effective nursing effect; it can also include structurally forming a standard training set for training an artificial intelligence nursing device. Specifically, the existing lower limb deep venous thrombosis nursing device mainly relies on the experience data accumulated by medical staff according to historical data to formulate a corresponding nursing scheme, which ignores the actual physiological influence of the relevant nursing scheme on the patient in the specific execution process. The setting method of the patient's physiological data is closely related to the nursing scheme, and once the patient's physiological data changes, the established nursing scheme cannot match the patient's state at this time, resulting in a decrease in the actual nursing effect. Improper nursing scheme may even cause secondary harm to the patient. Based on this, the present application can adjust the corresponding nursing scheme in time according to the changes of the physiological data of the patient, thereby significantly improving the accuracy of the nursing scheme and maintaining the effectiveness of the nursing scheme. The present application aims to reduce the incidence of lower limb deep venous thrombosis and post-thrombosis syndrome by integrating the professional guidance of medical staff, the self-management of patients and the intelligent support operation of intelligent nursing devices. The present application can at least improve the patient's self-management compliance for preventing lower limb deep venous thrombosis under the condition of scale monitoring and physiological monitoring of the patient terminal, and the patient's self-management is of great significance for preventing DVT formation or deterioration.

[0018] According to a preferred embodiment, in formulating, confirming or updating the current patient's individualized prevention nursing scheme, the medical terminal queries the sample cases similar to the current patient in the medical sample database (see embodiment 2) for preventing lower limb deep venous thrombosis based on the scale data obtained by the patient terminal, and screens at least one sample case meeting the expected treatment effect of the current patient according to the similar sample cases, formulates, confirms or updates the current individualized prevention nursing scheme of the patient according to the sample case meeting the expected treatment effect of the current patient, and sends the prevention nursing scheme to the patient terminal in the form of the lower limb nursing instruction. The medical sample database can accumulate verified and practical data and experience through long-term collection; by matching patient data with sample cases, the medical terminal can draw on the pre-stored experience and knowledge in the database, avoid wrong judgment of the patient's condition, and make the evaluation result more objective and scientific; and more importantly, the medical sample database can be used to form a higher quality standardized training set.

[0019] In this case, the patient terminal can be pre-set with a treatment effect that meets the current patient's expectations, and the medical terminal can also perform this pre-setting. The personalized preventive care plan can be formulated by the patient according to the home care situation and input into the patient terminal, in which case it can be confirmed or updated by the medical terminal. The personalized preventive care plan can also be pre-set by the doctor manually according to experience with the help of the medical terminal, or semi-automatically or automatically formulated according to the scale combined with similar sample cases.

[0020] According to a preferred embodiment, in response to the received lower limb care instructions, the patient terminal controls the care device to perform at least several care modes to match several conditions of the patient in the home environment. The monitoring device connected to the patient terminal continuously monitors the physiological data of the patient's lower limbs related to deep vein thrombosis and feeds back to the patient terminal, and the patient terminal sends the physiological data to the medical terminal to update the lower limb care instructions based on the difference between the physiological data and the pre-stored patient information. With the several care modes of the patient terminal described above, the present application can realize seamless connection between medical institutions and home care, and ensure that the patient can receive continuous and professional care guidance during the rehabilitation period after discharge. At the same time, the intelligent and personalized features of the present application system can also improve the efficiency and effectiveness of care, and reduce the incidence of deep vein thrombosis and post-thrombotic syndrome.

[0021] According to a preferred embodiment, the monitoring device bound to the patient terminal acquires lower limb girth data and / or lower limb temperature data related to the patient's condition, and the patient terminal sends it to the medical terminal in a subscription manner, so that the medical terminal generates a corresponding preventive care scheme for the nursing device to execute according to the changes in the lower limb girth data and / or lower limb temperature data, and sends the updated preventive care scheme to the patient terminal to update the lower limb care instructions. The present application realizes personalized assessment in the way of lower limb care instructions given by risk assessment. Since factors such as lower limb conditions, disease development and individual differences of different patients will affect the risk of venous thrombosis, by matching patient data with sample cases, the medical terminal can conduct personalized assessment according to the specific circumstances of different patients, avoiding the "one-size-fits-all" assessment method and improving the pertinence and practicality of the assessment. Specifically, the medical terminal assesses the risk probability of deep vein thrombosis or aggravation of the patient's lower limbs according to the items related to deep vein thrombosis in the scale data and the patient's lower limb temperature and lower limb swelling degree in the physiological data in the form of scale scoring. The medical terminal determines the required care mode, care time and care intensity of the patient based on the risk probability of deep vein thrombosis or aggravation of the patient's lower limbs. The prior art has appeared technical solutions for configuring different personalized care schemes according to patient data related to the disease. For example, CN112820372A discloses a nursing scheme automatic generation method and system, which uses a disease characteristic database to identify the patient's diagnosis report to obtain the disease characteristic items corresponding to the patient's symptoms, then matches the disease characteristic items with a disease type database to determine the name of the lowest level disease the patient suffers from, and finally matches the patient's personalized care scheme from the patient care scheme database combined with the patient's basic information. This technical solution can obtain a personalized care scheme for the patient's characteristics based on the patient's disease combined with the patient's personal characteristic information, so that the care scheme can better meet the actual needs of the patient and has better care effect. However, the personalized care scheme generated in this technical solution is based on the initial nursing execution, and the patient's physiological characteristic parameters at this time determine the specific selection of the care scheme. Although the initially executed care scheme can match the current patient physiological data, as the nursing process proceeds, the change of the patient's physiological data will cause it to be incompatible with the executed care scheme, and thus cause the nursing effect to deviate. Unlike the prior art, the medical terminal of the present application can adjust and update the care scheme executed by the nursing device in a timely manner according to the physiological data feedback by the patient terminal, and on the other hand, it can assess the risk probability of deep vein thrombosis or aggravation of the patient's lower limbs according to the items related to deep vein thrombosis in the scale data and the patient's physiological data.Based on the above distinguishing technical features, the problem to be solved by the present application can include: how to adjust the nursing scheme executed by the nursing device according to the actual physiological data of the patient, and evaluate the risk of deep vein thrombosis or deterioration of the lower limbs of the patient at this time. Specifically, the present application monitors and analyzes the changes in physiological data of the patient after the patient receives the nursing operation by the medical staff, and the medical terminal can update the lower limb nursing instruction in time. This real-time feedback mechanism enables the nursing scheme to be dynamically adjusted according to the actual situation of the patient, and is more in line with the individual needs of the patient. This helps to improve the pertinence and effectiveness of nursing, and better promotes the rehabilitation of the patient. That is, the medical terminal of the present application can realize the associated adjustment of the nursing mode, the nursing time and the nursing intensity based on the above-mentioned changes in physiological data of the patient and the feedback of the patient through the patient terminal, and realizes the individualization and dynamic adjustment of the lower limb nursing scheme.

[0022] According to a preferred embodiment, the medical terminal updates the preventive nursing scheme for the corresponding patient based on the nursing effect fed back by the patient through the patient terminal after the nursing device executes the nursing operation or the nursing effect judged by the monitoring equipment from the physiological data of the patient. The present application emphasizes the data interaction between the patient terminal and the medical terminal, and the importance of such interaction in the development of individualized nursing scheme. Through real-time transmission and sharing of data, medical staff can more accurately understand the patient's condition, so as to develop a more appropriate nursing scheme and improve the nursing effect.

[0023] According to a preferred embodiment, after the medical terminal obtains the nursing scheme in a number of sample cases according to the scale data, the medical terminal judges the swelling degree of the lower limbs of the patient according to the comparison between the lower limb girth data of the patient and the historical lower limb circumference, and judges the blood circulation of the lower limbs of the patient according to the change of the lower limb temperature data to evaluate the patient's condition. The present application dynamically adjusts the lower limb nursing instruction by accurately monitoring the physiological data of the lower limbs and combining the effect evaluation after the nursing operation, so as to achieve the purpose of effectively preventing deep vein thrombosis of the lower limbs. The present application can ensure that the patient receives continuous nursing guidance and support in long-term self-management after discharge, and reduce the incidence of deep vein thrombosis of the lower limbs and post-thrombosis syndrome.

[0024] According to a preferred embodiment, the medical terminal updates the lower limb nursing instruction in the nursing scheme to mechanical compression or electrical stimulation of the lower limbs of the patient. In the present application, the lower limb nursing instruction is a targeted nursing instruction according to the different conditions of the lower limbs of the patient. The system for preventing deep vein thrombosis of the lower limbs provided by the present application can provide individualized nursing schemes for patients with different conditions through the designed nursing device and exercise mode, effectively reducing the incidence of deep vein thrombosis of the lower limbs and post-thrombosis syndrome.

[0025] According to a preferred embodiment, the medical terminal can send an updated preventive care plan to the patient terminal in response to the receipt of the emergency label, wherein the current patient individualized preventive care plan includes cancellation of lower limb care instructions; or the medical terminal can refuse to approve the lower limb care instructions to be sent by the patient terminal to at least one care device bound thereto in response to the receipt of the emergency label. In the case where the medical terminal assesses that the patient has developed deep vein thrombosis of the lower limb or has a high probability of developing deep vein thrombosis of the lower limb, the medical terminal updates the lower limb care instructions in the care plan to avoid mechanical compression or electrical stimulation to the lower limb of the patient. Mechanical compression after deep vein thrombosis can cause the thrombus to detach, causing more serious complications. Therefore, the medical terminal of the present application aims to achieve accurate query, matching, designation and selection of lower limb care instructions, and to provide personalized and efficient home care services for patients. This not only helps to improve the rehabilitation effect and quality of life of patients, but also reduces the work burden of medical staff and improves the utilization efficiency of medical resources.

[0026] According to a preferred embodiment, when the medical terminal formulates, confirms or updates the current individualized care plan of the patient, the medical sample database is labeled in a manner related to the individualized care plan related to the patient according to the scale data of the patient received in the subscription or real-time mode, so as to make the medical sample database a standardized training set. For example, in the case where the medical terminal formulates the current individualized care plan of the patient, the medical staff labels the formulated individualized care plan according to the patient's condition information, so that the patient terminal can remind or feedback to the patient at several time points of executing the lower limb care instructions. Further, the medical staff can label or further improve the lower limb care plan of the patient through the medical terminal to meet the current venous thrombosis risk assessment result of the patient. The present application can ensure the accuracy and professionalism of the care instructions by labeling the lower limb care instructions. Labeling can include information such as steps, precautions and expected effects of care operations, providing clear guidance for the execution of care devices. This helps to reduce operation errors and improve care quality and safety. At the same time, this professional and continuously high-quality labeled medical sample database itself is a high-quality training set.

[0027] With the above preferred embodiments of the present application, prevention of deep vein thrombosis of lower extremities in the home environment of patients becomes possible, and artificial intelligence will be increasingly used in the assessment of patient care and the prevention of deep vein thrombosis of lower extremities. The above embodiments of the present application can realize home environment care with an automatic closed-loop control system, integrate feedback control and artificial intelligence into the home care system, thereby improving the patient's compliance with the established treatment plan and quickly adapting to new or changing treatment strategies. In the future, the intelligent support system will use the data previously collected from patients by the present application to analyze similar conditions and patterns of illness and develop personalized care programs. The care system can more accurately predict the impact of several specific care measures on patients and use these care measures in their care programs, thereby facilitating individualization of care programs. Several monitoring devices can be more widely used to popularize them in the home environment. The present application aims to determine how better to use such innovations and the data sets obtained for critically ill patients to improve their quality of recovery. BRIEF DESCRIPTION OF DRAWINGS

[0028] Figure 1 is a schematic diagram of the hardware topology of a system for preventing deep vein thrombosis of lower extremities according to a preferred embodiment of the present application; Figure 2 is a simplified schematic block diagram of the data interaction between the patient terminal and the medical terminal according to a preferred embodiment of the present application; Figure 3 is a simplified flowchart of the steps performed by the system for preventing deep vein thrombosis of lower extremities according to a preferred embodiment of the present application; Figure 4 is a visual analog scale used by the system of the present application; Figure 5 is another visual analog scale used by the system of the present application.

[0029] LIST OF REFERENCE NUMBERS 100: medical terminal; 200: patient terminal; 300: care device; 400: monitoring device; 401: lower extremity circumference detection unit; 402: lower extremity temperature detection unit; 403: blood flow detection unit; 500: HIS system. DETAILED DESCRIPTION

[0030] The following will be described in detail with reference to the accompanying drawings.

[0031] Example 1 The main treatment of deep venous thrombosis (DVT) is anticoagulation and thrombolysis. There is still a 10% recurrence possibility of deep venous thrombosis within one year after treatment, and the recurrence of deep venous thrombosis is prone to be combined with post-thrombosis syndrome (PTS). The patient needs to perform self-management outside the hospital during the treatment cycle (up to 3-6 months) of deep venous thrombosis and within one year after the completion of treatment to prevent recurrence of the disease. Therefore, it is necessary to introduce an outpatient nursing management system to intervene in the recurrence of the patient to reduce the incidence of deep venous thrombosis and post-thrombosis syndrome. Since the self-management of the patient after discharge has a long periodicity, that is, how to intervene in the daily home self-management of the patient and the continuity of nursing is the core of preventing the follow-up recurrence of the disease. Since there is no obvious clinical symptom of deep venous thrombosis, the patient recovering at home may have a hidden disease, which leads to the fact that the patient cannot be intervened in time and effectively, and this is a technical problem to be solved by the present application.

[0032] The present application provides a system for preventing deep venous thrombosis. As shown in the figure, the system comprises a medical terminal 100 for medical staff to input patient personal information and disease information, a patient terminal 200 connected with the medical terminal 100 for obtaining scale data related to deep venous thrombosis, and a nursing device 300 for receiving the lower limb nursing instructions of the patient terminal 200 and implementing nursing operation according to the lower limb nursing instructions. According to the present application, the patient terminal 200 especially provides scale data related to deep venous thrombosis to the medical terminal 100 in a subscription mode, so as to reduce ineffective reexamination. Figure 1

[0033] In the present application, the nursing device 300 can be a plurality of intelligent devices capable of nursing the lower limbs of the patient in the home environment of the patient (the patient terminal 200 can be used as the intelligent control part of the nursing device 300, or the patient terminal 200 can be independently arranged and connected in communication with the nursing device 300 to communicate with each other in data), which can be, for example, an intermittent air pump or an air wave pressure instrument to contact massage a plurality of points of the lower limbs of the patient, so as to realize the venous blood return of the lower limbs at the points and prevent blood stasis. The nursing device 300 can establish data and control signal connection with the patient terminal 200 in a wireless or wired manner, and then establish direct or indirect connection with the medical terminal 100.

[0034] The patient terminal 200 can be a smart device or a mobile terminal device for executing the method of the present application, which can establish a binding relationship or data association with a portable monitoring device and a special health monitoring device, such as a bracelet. ​

[0035] In the present application, the monitoring device 400 associated with the patient terminal 200 data can include a lower limb circumference detection unit 401, a lower limb temperature detection unit 402 and / or a blood flow detection unit 403. The blood flow detection unit 403 can be the bioelectric impedance monitor or ultrasonic diagnostic instrument described above to obtain the hemodynamic indicators of the patient's lower limbs. The lower limb circumference detection unit 401 can be a measuring tape that directly measures the part of the patient's lower limb. The measuring tape is made of elastic material to ensure that it can closely fit lower limbs of different thicknesses while maintaining a certain degree of elasticity. The measuring tape can have scales or scales on it so that the patient can directly read the circumference data and input it into the patient terminal 200.

[0036] Further, the lower limb circumference detection unit 401 can also be an integration of the measuring tape and the sensor. In order to obtain more accurate measurement data, displacement sensors (such as pull wire displacement sensors, potentiometers, etc.) or optical sensors can be used to detect the amount of expansion of the measuring tape, whereby the patient terminal 200 can determine the current circumference of the patient's lower limb through the change in the amount of expansion. The lower limb circumference detection unit 401 can monitor the circumference of multiple key parts of the lower limb, such as the calf, the thigh, etc. By regularly or continuously measuring the lower limb circumference detection unit 401, the patient terminal 200 can obtain the change data of the lower limb circumference, which provides the basis for evaluating the swelling of the lower limb. The circumference data can reflect the swelling of the lower limb and is one of the important indicators for evaluating the risk of deep vein thrombosis of the lower limb.

[0037] Further, the lower limb temperature detection unit 402 can be designed in the form of a skin patch that can be attached to the skin surface of the lower limb for a long time, especially the distal part of the limb with a higher risk of thrombosis, especially the foot area such as the sole. The temperature sensor built-in patch can monitor the temperature of the lower limb in real time and transmit the data to the patient terminal 200. Temperature changes are one of the early signs of deep vein thrombosis of the lower limb, so real-time monitoring of the temperature of the lower limb helps to discover potential risks in a timely manner. The present application designs the temperature monitoring device in the form of a skin patch to ensure the comfort and convenience of the patient when using it at home.

[0038] As Figure 2As shown, the patient terminal 200 feeds back the current patient's scale data related to deep vein thrombosis in the lower extremities to the medical terminal 100 located in the medical institution, and at the same time feeds back the lower extremity care instructions from the nursing device 300 related to the scale data to the medical terminal 100. Here, the lower extremity care instructions are intended to be approved by the medical terminal 100 and sent by the patient terminal 200 to at least one nursing device 300 bound to it. After obtaining the scale data related to the patient's deep vein thrombosis in the lower extremities, the medical terminal 100 retrieves and analyzes sample cases of preventing deep vein thrombosis in the lower extremities, so as to formulate, confirm or update the patient's current personalized preventive care plan based on the obtained scale data related to the corresponding patient, and sends the preventive care plan to the patient terminal 200 in the form of lower extremity care instructions. At this point, for other nursing information unrelated to nursing instructions in the preventive care plan, such as patient education programs, this information, due to its universality, is usually synchronized from the medical terminal 100 or HIS system to the patient terminal 200 during the patient consultation. This includes large files such as audio and video information that are inconvenient to transmit via the internet. Therefore, based on the basic nursing strategies learned during the hospital consultation, patients can receive professional guidance during home care according to their own prognosis, referring to sample cases.

[0039] Preferably, as well as Figure 2 As shown, the patient terminal 200 can also send feedback to the medical terminal 100 located in the medical institution regarding the patient's scale data related to deep vein thrombosis in the lower extremities and requests for lower extremity care instructions related to the scale data to obtain information provided by the medical terminal 100 (e.g., when the medical terminal 100 is connected to the HIS system 500 and interconnected in terms of data) and / or obtain feedback from medical staff on the scale data given by the medical terminal 100. The patient terminal 200 controls the nursing device 300 to perform nursing operations according to the received lower extremity care instructions. During home care, when setting up a preventive care plan, the patient can use the patient terminal 200 to send "scale data" along with "requests for lower limb care instructions related to the scale data" to obtain a preventive care plan manually set by the medical terminal 100, which includes lower limb care instructions. Furthermore, when the medical terminal 100 is connected to the HIS system 500 and the data is interconnected, the patient can also obtain other information through the medical terminal 100 to help the patient understand other information in the preventive care plan besides the lower limb care instructions.

[0040] Preferably, the patient terminal 200 is capable of sending the self-measured scale data fed back by the patient through the patient terminal 200 or the physiological data of the patient acquired by some monitoring device 400 (for example, the patient's venous blood flow condition can also be collected by a bioelectricity resistance monitor or an ultrasonic diagnostic instrument of other third-party medical institutions) to the medical terminal 100 located in the medical institution, and sending a query request for a sample case of prevention of deep vein thrombosis of the lower extremity to the medical terminal 100, so as to filter out a sample case with similar scale data or physiological data from a medical sample database connected to the medical terminal 100 (for example, medical staff operate the medical terminal 100) based on the current care feedback of the patient, so as to screen out a sample case with similar scale data or physiological data from the medical sample database based on the current care feedback of the patient. In this way, the patient can fully utilize the convenience of home care and nearby medical treatment, continuously receive professional guidance from the original expert, and avoid occupying scarce expert resources by a large number of reexaminations.

[0041] That is to say, after the scale data related to the deep vein thrombosis of the lower extremity of the patient is acquired, the medical terminal 100 calls the medical sample database to filter out a sample case meeting the expected effect of prevention of deep vein thrombosis of the lower extremity according to the current condition of the patient determined by the scale data, applies the prevention and care scheme of the sample case to the current individualized prevention and care scheme of the patient, and sends the prevention and care scheme to the patient terminal 200 in the form of lower extremity care instructions. In the present application, the autonomous selection right of the patient is fully considered during home care, and the patient can feed back the expected effect of prevention of deep vein thrombosis of the lower extremity in a more rational way by means of the patient terminal 200, thereby improving the quality of care and optimizing the doctor-patient relationship.

[0042] The prevention and care scheme of deep vein thrombosis (DVT) of the lower extremity includes but is not limited to lower extremity care instructions, and also includes drug management, lifestyle adjustment, regular monitoring and patient education.

[0043] The lower extremity care instructions cover compression therapy, elevation of the lower extremity, massage and electrical stimulation therapy. The compression therapy uses gradient compression socks to promote blood return of the lower extremity, and the wearing time and method per day are defined in detail by the lower extremity care instructions; the patient is suggested to elevate the lower extremity several times a day for 15-30 minutes each time according to the lower extremity care instructions, so as to reduce edema of the lower extremity and promote venous return; the lower extremity is moderately massaged according to the adapted lower extremity care instructions to promote blood circulation, and deep massage in the presence of thrombus can be avoided; and the electrical stimulation therapy is also defined in detail by the lower extremity care instructions, so as to accurately use the electrical stimulation device to promote muscle contraction and blood circulation, and the specific use frequency and intensity are also defined in detail by the lower extremity care instructions. The process and result of the care operation performed by the care device 300 are recorded via the patient terminal 200 and sent to the medical terminal 100 in the form of subscription or other data transmission.

[0044] Drug management includes anticoagulant therapy and the use of antiplatelet drugs. Anticoagulant therapy requires the use of anticoagulant drugs (such as rivaroxaban, warfarin, low molecular weight heparin, etc.) according to the doctor's prescription, and regular coagulation function monitoring to adjust the drug dose. Antiplatelet drugs are suitable for high-risk patients to prevent thrombosis. Lifestyle adjustments include: recommending a high-fiber, low-fat, low-salt diet for patients, maintaining a healthy weight, increasing water intake, and avoiding dehydration; encourage moderate exercise, such as walking, swimming, etc. to promote blood circulation and avoid long periods of sitting or standing, take short breaks every hour; quit smoking and limit alcohol to improve vascular health and reduce the risk of thrombosis. Regular monitoring includes daily monitoring of lower extremity skin temperature, swelling and pain, regular measurement of blood pressure and body weight; regular lower extremity ultrasound examination to monitor venous blood flow and thrombosis, and regular detection of blood D-dimer levels to assess thrombosis risk. Patient education includes: educating patients to recognize early symptoms of DVT, such as unilateral limb swelling, pain and skin temperature changes, emphasizing the importance of taking medication on time and how to take medication correctly, and guiding patients to seek medical attention immediately if they experience acute symptoms such as sudden shortness of breath, chest pain and severe leg pain. By comprehensively implementing the above prevention care program, patients can effectively recognize the corresponding expectations of the prognosis, and thus can submit their wishes to the medical terminal 100 through the patient terminal 200, which are more in line with the possible prognosis effect, so that the medical terminal 100 can screen out sample cases that meet the expected effect of preventing deep vein thrombosis of the lower extremities according to the current condition of the patient determined by the scale data, and apply the prevention care program to develop a personalized prevention care program for the patient.

[0045] Thus, the prevention care program according to the present application is personalized according to the specific circumstances of the corresponding patient to meet the expected effect of preventing deep vein thrombosis of the lower extremities, and is reviewed by a doctor.

[0046] Preferably, the care device 300 worn on the lower extremities of the patient can be controlled by the patient terminal 200 based on lower extremity care instructions to massage several points on the lower extremities of the patient. The lower extremity care instructions will include specific movement patterns, movement times, movement intensities and movement types to ensure that the patient receives the most suitable care program for themselves. Based on regular subscription of feedback data of the relevant patient terminal 200, medical personnel can modify or annotate the lower extremity care instructions of the relevant patient terminal 200 related to the feedback data through the medical terminal 100 according to the prevention care program that meets the expected effect of preventing deep vein thrombosis of the lower extremities, to avoid harm to the patient caused by the patient's incorrect care method. The annotations formed in this way are also merged into the medical sample database in a standardized format, and the medical sample database is updated to gradually form a standardized training set for training an artificial intelligence assisted care system.

[0047] Preferably, the patient terminal 200 can update the lower limb care instructions according to the physiological data changes after the patient receives the care operation, i.e. the patient terminal 200 itself can also adjust the lower limb care instructions executed by the care device 300 through the care effect embodied by the physiological data changes. Preferably, in the case where the care device 300 judges that the current lower limb care instructions have positive effects based on the feedback or physiological data changes of the patient, the current care plan can be maintained. The physiological data here can include the swelling degree (i.e. the girth), temperature change and blood flow dynamics change of the lower limbs of the patient. In the case of regular subscription of relevant patient terminal 200 feedback data, the patient terminal 200 not only feeds back the physiological data changes during the execution of the first care plan of the "preventive care plan in accordance with the sample case conforming to the expected effect of prevention of deep vein thrombosis of lower limbs according to the specific circumstances of the corresponding patient for individualized adjustment in the last subscription period" to the medical terminal 100, but also feeds back the lower limb care instructions of the second care plan updated by the care device 300 on the basis of the first care plan and the physiological data changes during the execution of the second care plan.

[0048] The second care plan on the basis of the first care plan is sent by the patient terminal 200 to the medical terminal 100 in the next subscription period, and in the case where the medical terminal 100 judges that the current lower limb care instructions have negative effects based on the feedback or physiological data changes of the patient, the medical terminal 100 updates (confirms) the second care plan currently adopted, and merges the second care plan updated relative to the first care plan simply generated based on the sample case (possibly with the doctor's annotation) into the medical sample database in a standardized format.

[0049] In order to update the first care plan, specifically, the patient terminal 200 can determine the care intensity required by the patient according to the pain tolerance degree of the patient derived based on the scale data. The patient terminal 200 determines the pain tolerance degree of the patient based on the score of the patient on pain in the scale data (for example, the standardized pain score scale in the patient self-report scale data, see Figure 4 ) or the feedback of the patient on the care intensity of the care operation of the care device 300. The standardized pain score scale used by the present application, such as the Facial Pain Scale (FPS) and the Visual Analogue Scale (VAS), is a tool commonly used to assess the intensity of pain such as Figure 5The facial expression scale (FPS) or visual analogue scale (VAS) given in the patient terminal 200 can be used to intuitively select the facial expression closest to the patient's feeling in the home care scenario of the present application, to form scale data for evaluating pain. The facial video during treatment can also be taken by the patient terminal 200 as scale data, and sent to the medical terminal 100, which calculates the current pain score of the corresponding patient in an automatic, semi-automatic or manual manner.

[0050] Here, the patient terminal 200 can update the nursing intensity of the nursing device 300 for electrical stimulation of the lower limbs of the patient according to the pain tolerance of the patient. For example, in the case where the pain tolerance of the patient is higher than the pain degree of the electrical stimulation, the patient terminal 200 updates the lower limb nursing instruction to the nursing device 300 to perform ordered continuous high-intensity electrical stimulation on several points of the lower limbs of the patient, to promote the contraction and spasm of the muscles of the lower limbs of the patient. In the case where the pain tolerance of the patient is lower than the pain degree of the electrical stimulation, the medical terminal 100 updates the lower limb nursing instruction to the nursing device 300 to perform low-intensity electrical stimulation on several points of the lower limbs of the patient in time periods. The above-mentioned low-intensity electrical stimulation in time periods means that the medical terminal 100 updates the lower limb nursing instruction of the nursing device 300 to perform electrical stimulation on the lower limbs of the patient in a high frequency and multi-period manner under low-intensity electrical stimulation. For example, after the patient terminal 200 updates the lower limb nursing instruction, the nursing device 300 can complete the electrical stimulation in a manner of two lower limb stimulation points per hour, thereby avoiding the continuous pain of the patient. In the case of home care, the pain tolerance of the patient can be determined by the medical terminal 100 through the scale data fed back by the patient terminal 200 in the next subscription period, to ensure the safety of the nursing process.

[0051] In the next subscription period, the medical terminal 100 adjusts the nursing intensity determined in the last subscription period according to the actual situation of the patient, and gradually adjusts along with the rehabilitation process. That is, in the case where the medical terminal 100 adjusts the nursing intensity of the nursing device 300 according to the rehabilitation process of the patient, the medical terminal 100 judges whether the current preventive nursing scheme meets the expectation of the patient for the nursing effect based on the feedback of the patient through the patient terminal 200 (for example, including the change of the physiological data of the patient obtained by the monitoring device 400). The rehabilitation process can be judged by the medical terminal 100 in the form of scale score based on the scale data (such as physiological data) provided by the patient terminal 200 and the pathological data obtained by the HIS system. Therefore, in each subscription period following the rehabilitation process of the patient, the preventive nursing scheme can be continuously updated, which can be sent to the patient terminal 200 in the form of lower limb nursing instruction, to adjust the nursing operation of the nursing device 300, to perform rehabilitation training in accordance with the expectation of the patient for the nursing effect.

[0052] The patient's current personalized preventive care plan formulated, confirmed or updated by the application can optimize the care effect and reduce the risk of deep vein thrombosis of lower extremity, and the closed-loop feedback mechanism ensures the precision and effectiveness of the nursing operation in line with the expected patient care effect; it can ensure that the patient receives continuous nursing guidance and support in long-term self-management after discharge, significantly reduce the number of patient rechecks, reduce hospital nursing and treatment resource consumption, and also significantly reduce the incidence of deep vein thrombosis of lower extremity and post-thrombosis syndrome, and at the same time form or update a standardized medical sample database, which is conducive to the development of subsequent artificial intelligence products.

[0053] According to a preferred embodiment, the step of the medical terminal 100 formulating, confirming or updating the patient's current personalized preventive care plan includes: screening a number of sample cases related to the current patient's condition based on the matching of the scale data obtained by the patient terminal 200 and the queried sample cases of preventing deep vein thrombosis of lower extremity, and performing comprehensive state assessment of the current patient (including venous thrombosis risk assessment, care effect assessment, etc.) according to the patient's personal information, physiological information and pathological information (from the HIS system 500, or read from a third-party software system or manually entered by the doctor), so that the medical terminal 100 further formulates, confirms or updates the personalized preventive care plan for the current patient based on the patient's personal information and illness information stored in the HIS system 500 to send to the patient terminal 200 from the number of sample cases obtained.

[0054] Preferably, in a subscription period, the medical terminal 100 receives scale data and physiological data from the patient terminal 200. The scale data and physiological data are data measured by the patient in a home environment, for example, by means of a monitoring device 400, for intuitive reflection of the current condition. The medical terminal 100 compares and queries the scale data of each subscription period with the sample cases of preventing deep vein thrombosis of lower extremity in the medical sample database to screen a number of sample cases with high similarity to the scale data. The sample cases include similar personal conditions, illness, physiological data and pathological data, so as to screen the care plan in line with the expected patient care effect.

[0055] Preferably, the medical terminal 100 can adjust and match nursing plans related to several sample cases based on physiological data. In other words, the medical terminal 100 can adjust the nursing plan based on the nursing plans of several sample cases, taking into account the patient's personalized physiological data. This is because although the nursing plans of several sample cases are formulated based on historical experience and professional knowledge, at least one of the following "personal condition, illness, physiological data, and pathological data" does not match the current patient. Therefore, when the medical terminal 100 selects sample cases from the medical sample database, if at least one of the following "personal condition, illness, physiological data, and pathological data" does not match the current patient, the medical terminal 100 is prompted to initiate a "nursing plan adjustment" procedure. This prompts the doctor to assess the patient's specific condition based on physiological data and provide the adjusted nursing plan to the medical terminal 100. The personalized nursing plan after the "nursing plan adjustment" procedure is then sent as a preventive nursing plan to the corresponding patient terminal 200 as a lower limb nursing instruction, applicable to the patient's lower limb care. The adjustment includes at least adjustments to parameters such as the nursing mode, nursing time, and nursing intensity of the nursing device 300 in the lower limb nursing instructions, to ensure that the nursing plan can meet the patient's recovery expectations to the greatest extent.

[0056] In this embodiment of the invention, the scale data can include the patient's awareness of the disease (e.g., the frequency and extent of use of graded compression stockings), records of the patient's self-management behavior (e.g., lower limb exercise time, frequency, and adherence to regular anticoagulation), and the completion of several self-assessment scales (e.g., the Villalta score for the patient's self-assessment of several items including pain and cramps, or outpatient assessment, or online medical staff follow-up assessment). The Villalta score assesses the sequelae of deep vein thrombosis (DVT), such as post-thrombotic syndrome (PTS), through two parts: subjective symptoms and objective signs. The subjective symptom table and objective sign table are shown below.

[0057]

[0058] Patient terminal 200 can self-interpret the score by entering relevant data: 0-4 points: No PTS; 5-9 points: Mild PTS; 10-14 points: Moderate PTS; ≥15 points or active ulcers: severe PTS.

[0059] When a patient retrieves the Villalta scoring system through their patient terminal 200 and fills in the data, they will receive a total score. For example, the patient in the table below has a total score of 12 points:

[0060] The total score of this patient is 12, which the patient terminal 200 can display to the patient and inform that this belongs to moderate PTS. After obtaining the relevant scale data from the patient terminal 200, the medical terminal 100 determines that the patient is currently in moderate venous insufficiency in the recovery process after DVT according to the latest scale data of the patient and in combination with the historical scale data of the corresponding patient, and still needs corresponding treatment and management, thereby forming or updating the treatment and management scheme provided to the nursing device 300.

[0061] Thus, the patient terminal 200 can also perform self-risk assessment of the current DVT recurrence rate and the incidence of post-thrombotic syndrome of the patient according to the above-mentioned obtained scale data.

[0062] Specifically, the obtaining method of the scale data includes that the medical terminal 100 presets in the patient terminal 200 according to the patient's condition at the first visit. The scale use includes that the patient checks whether the pain and venous swelling still occur in the lower limbs during the patient's home rehabilitation; the patient or his / her family members gently press the deep venous swelling area to let the patient assess whether there is tenderness; the patient observes whether the adverse effects occur in the superficial venous dilation, and whether the skin color and temperature of the lower limbs are normal. In addition to the above methods, the patient terminal 200 also photographs the corresponding limbs of the patient, and provides the medical terminal 100 in the form of image or video with annotations, so that the medical terminal 100 can determine the scores of objective signs such as skin pigmentation, skin sclerosis, ulcer or varicose veins in a manual, automatic or semi-automatic manner by image analysis. Thus, the scale data can be collected in the patient terminal 200, and the medical terminal 100 can periodically complete the risk assessment of the patient according to the subscription. In the case that the medical terminal 100 judges that the patient has a high risk of DVT formation or deterioration, the medical terminal 100 can send a warning signal to the patient terminal 200 to inform the patient to go to the medical institution to complete the color Doppler ultrasound examination or lower extremity venography. Further, even if the patient does not have any of the above symptoms during the rehabilitation process, the patient terminal 200 can regularly remind the patient to perform the color Doppler ultrasound examination to confirm whether the patient has thrombus or whether new thrombus occurs.

[0063] According to the present application, preferably, the medical terminal 100 collects multiple sets of data from multiple patient terminals 200 through periodic subscription instead of the patient terminals 200 querying the medical terminal 100 at any time and any place, wherein the frequency of collecting data periodically can be adjusted according to the risk level and rehabilitation stage of the patient. Thus, the effective doctor resources are greatly utilized, a wider range of patients is covered, a consistent data structure is formed through periodic subscription, the standardization of data is ensured, and a standardized evaluation marking and scoring mechanism is formed by using the preset scale score standard in the medical terminal 100 (the standard and its explanation can also be loaded on the patient terminal 200 for self-evaluation), which is easy to form a structured, anonymized and more richly dimensioned training set, and has important significance for the development of artificial intelligence products for elderly care.

[0064] In the present application, it is advantageous that the way to develop the current personalized prevention care plan for the patient is to query the sample cases of prevention of deep vein thrombosis of lower extremities and to mark the screened sample cases by medical personnel. The marking can be the prevention-related marking recorded in the sample cases themselves or the dynamic marking made by medical personnel according to the actual situation of the current patient. The medical terminal 100 feeds back the lower extremity care instructions to the patient terminal 200 according to the sample cases and the relevant marking of medical personnel to control the care device 300. Medical personnel can mark the lower extremity care instructions to ensure the accuracy and professionalism of the care instructions. The marking can include information such as steps of care operation, precautions, expected effect, etc., to provide clear guidance for the execution of the care device, thereby helping to reduce operation errors and improve care quality and safety. Since these prevention care plans can be combined with the previously formed training set including only scale data to analyze the relationship between diversified prevention care plans and the trend of scale data, they can be further used to train the rehabilitation plan of artificial intelligence. Therefore, one of the outstanding significances of the present application is that the prevention care plan sent to the care device 300 by the patient terminal 200 also constitutes one or more of the standardized data.

[0065] Preferably, the medical terminal 100 can evaluate the probability of the patient's lower extremity deep vein thrombosis or aggravation according to the items related to lower extremity deep vein thrombosis in the scale data provided by the patient terminal 200 and the patient's lower extremity temperature and lower extremity swelling degree in the physiological data in the form of scale scoring, and further determine or update the patient's required care mode, care time and care intensity based on the probability of the patient's lower extremity deep vein thrombosis or aggravation. For example, the medical terminal 100 uses existing scale scoring rules (for example, Autar DVT formation risk assessment table, Wells scale and RAPT score for evaluating the formation of lower extremity deep vein thrombosis) to judge the severity of the patient's condition according to the items related to lower extremity deep vein thrombosis in the scale data (for example, the patient's lower extremity skin color, pain score, subjective feeling of numbness, etc.) and the patient's lower extremity temperature and lower extremity swelling degree in the physiological data, which can be the probability of the patient's lower extremity deep vein thrombosis or aggravation. For example, in the case that the medical terminal 100 judges that the probability of the patient's lower extremity deep vein thrombosis or aggravation is low but the lower extremity swelling degree is serious, the medical terminal 100 shortens the time interval between each care of the care device 300 by increasing the care execution frequency of the care device 300 in the lower extremity care instruction in the preventive care scheme. In the case that the medical terminal 100 judges that the probability of the patient's lower extremity deep vein thrombosis or aggravation is low and the lower extremity swelling degree subsides, the medical terminal 100 prolongs the care execution interval of the care device 300 in the lower extremity care instruction in the preventive care scheme to avoid the patient's fatigue. Thus, the medical terminal 100 completes the development, confirmation or update of the patient's current individualized preventive care scheme within the subscription period.

[0066] According to an alternative embodiment of the present embodiment, the system of the present application can also not use the subscription mode when developing products, but work in a real-time feedback mode. That is, the system of the present application can change from the subscription mode centered on home care to the real-time feedback mode centered on telemedicine.

[0067] In the alternative embodiment, the medical terminal 100 sends a first warning signal to the patient terminal 200 of the corresponding patient in the case that the medical terminal 100 analyzes the metering data acquired in the first subscription period and determines that the probability of DVT formation or aggravation of the patient exceeds a preset threshold; the patient terminal 200 can respond to the receipt of the first warning signal and switch the patient terminal 200 from the subscription mode centered on home care to the real-time feedback mode centered on telemedicine; in the real-time feedback mode, the real-time feedback mode data connection established between the patient terminal 200 and the medical terminal 100 has a data transmission frequency higher than that of the first subscription period. That is, the real-time feedback mode has a high-frequency second subscription period, and the data is still transmitted in the subscription mode, and the transmission frequency can be increased from 1 time / month in the subscription mode to 15 times / month or even 20 to 30 times / month. In the real-time feedback mode, the patient terminal 200 especially applies the instruction of high-frequency data acquisition to the monitoring device 400; for non-wearable monitoring devices, the acquisition frequency at least manifests as the reminder frequency of SMS or instant messaging messages.

[0068] In addition, in the real-time feedback mode, for example, in the case that the medical terminal 100 evaluates that the metering data provided by the care device 300 reflects that the corresponding patient does not have DVT formation or the probability of DVT formation is low, the medical terminal 100 can also update the lower limb care instruction in the preventive care scheme in real time to mechanical compression or electrical stimulation of the lower limbs of the patient to promote the venous blood return of the lower limbs of the patient. In the case that the medical terminal 100 evaluates that the metering data provided by the care device 300 reflects that the patient has DVT formation or the probability of DVT formation is high, the medical terminal 100 updates the lower limb care instruction in the care scheme to avoid mechanical compression or electrical stimulation of the lower limbs of the patient to avoid possible thrombus detachment of the patient. The real-time feedback mode possessed by the system of the present application is beneficial to remotely training the patient and his / her family to be familiar with the basic use mode of the system and the basic use mode of the care device 300 and the monitoring device 400 bound thereto in the initial stage of home care, and further form meaningful metering data to facilitate future data subscription.

[0069] In addition, in the case of limb pain, color change, temperature rise or swelling of the lower extremities of the patient, the patient can have lower extremity deep vein thrombosis. After the recurrence of lower extremity deep vein thrombosis, the required care program is completely different from that before the occurrence of lower extremity deep vein thrombosis. In order to prevent the thrombus from falling off, the patient's care program needs to strictly prohibit hot compress or various mechanical compression to avoid the thrombus falling off with the blood flow to the pulmonary vessels and causing pulmonary embolism. Therefore, it is necessary for the patient to develop a personalized care program according to the patient's specific situation. The mechanical compression method before the occurrence of lower extremity deep vein thrombosis can promote the return of venous blood to the heart, prevent venous stasis in the lower extremities, and promote the disappearance of symptoms such as swelling and pain of the affected limb. However, the mechanical compression method after the occurrence of lower extremity deep vein thrombosis can cause the thrombus to detach, causing more serious complications. Therefore, the medical care terminal 100 of the present application can respond to the critical degree of the scale data provided by the care device 300 to select whether to enter the real-time feedback mode centered on telemedicine from the subscription mode centered on home care, not only can realize accurate query, matching, designation and selection of lower extremity care instructions during home care, provide personalized and efficient home care services for patients, but also help to avoid medical risks in the case of serious conditions, improve the rehabilitation effect and quality of life of patients, reduce the work burden of medical staff, and improve the utilization efficiency of medical resources.

[0070] The embodiment of the present application realizes home environment care with closed-loop control, integrates feedback control technology into the home care system, enhances the patient's compliance with the established treatment plan, enables it to quickly adapt to new or changing treatment strategies from the real-time feedback mode, and also enables it to collect disease analysis and condition pattern data from patients in the subscription mode with the support of intelligence, and develop long-term personalized care programs for home patients. This care system can more accurately predict the impact of specific care measures on patients and adopt these measures in their care programs, thereby promoting the development of personalized care programs.

[0071] Embodiment 2 This embodiment is a further improvement of embodiment 1, and the repeated contents will not be described again.

[0072] In this embodiment, the system for preventing deep vein thrombosis of lower extremities described in the foregoing embodiments is also configured to build a medical sample database covering different types of scales, rehabilitation programs, rehabilitation effects, and the like. It is obvious that when the system of the present application is in operation, a large number of terminals will access and update the medical sample database from the perspective of patients, doctors, family members, and even rehabilitation equipment manufacturers, and even create new data tables in the medical sample database. After being accessed and updated, these data also constitute part of the medical sample database, which can be in the form of new data, new access records, access frequency, or data set correction or data correlation labels. They can collectively constitute a high-quality professional annotated training set for subsequent training and development of related products. In other words, in the present application, "formulating, confirming or updating" can be understood as new data table creation, data correctness and correlation confirmation, sample case changes over time, and the like.

[0073] The database structure of the medical sample database according to this embodiment includes a patient information table (PatientInfo), a scale data table (AssessmentData), a rehabilitation program table (TreatmentPlans), a rehabilitation effect table (TreatmentOutcomes), a sample case table (SampleCases), and a care instruction table (CareInstructions). The lower extremity care instructions in the medical sample database of the present application are targeted care instructions according to different conditions of the lower extremities of the patients; in response to the received lower extremity care instructions, the patient terminal 200 controls the care device 300 to perform at least several care modes to match several conditions in the patient's home environment.

[0074]

[0075]

[0076]

[0077]

[0078]

[0079]

[0080] Based on the medical sample database given in the example, the system for preventing deep vein thrombosis of lower extremities according to the present application can select similar medical records from the medical sample database according to the scores of each scale of the current patient, the physiological indicators of the current patient, the medication situation and the historical cases, update the prevention care plan based on the historical treatment / rehabilitation scheme and effect of the similar medical records, and confirm (apply), reject (cancel) or revise (update) the lower extremity care instructions related to the scale data to be sent to the patient terminal 200. In this way, the lower extremity care instructions executed by the care device 300 are updated with the rehabilitation effect determined in relation to the scale data of the current patient as the target effect.

[0081] The medical sample database of the present application aims to reduce the incidence of deep vein thrombosis and post-thrombotic syndrome by integrating the professional guidance of medical staff, self-management of patients and intelligent support operation of the intelligent care device 300. The medical sample database of the present application can at least improve the patient's compliance with self-management of preventing deep vein thrombosis of lower extremities under the condition of scale data monitoring and physiological data acquisition and monitoring of the patient terminal 200 to the patient, and the patient's self-management is of great significance to prevent the recurrence of DVT.

[0082] Preferably, the rehabilitation trend or deterioration trend of the sample cases in the medical sample database is also used to match and update the prevention care plan. Specifically, the system for preventing deep vein thrombosis of lower extremities according to the present application determines the rehabilitation effect under the current prevention care plan according to the scores of each scale and the physiological indicators of the current patient, and forms a rehabilitation trend or deterioration trend in time accordingly; by comparing the rehabilitation trend or deterioration trend with the sample cases in the medical sample database, similar cases that can be used to update the prevention care plan are determined.

[0083] In addition, the medical sample database of the present application can further divide the sample types according to the patient conditions, such as first type of patients (e.g. patients with more severe illness and limited activity), second type of patients (e.g. patients with less severe illness and better activity) and third type of patients (e.g. patients requiring comprehensive rehabilitation), to facilitate the targeted development of artificial intelligence products.

[0084] When developing products, the system of the previous embodiments of this invention may not adopt a subscription model, but instead operate in a real-time feedback manner. This real-time feedback allows for high-frequency database updates, facilitating the targeted development of artificial intelligence products. For example, after the medical terminal 100 obtains nursing plans from several sample cases based on scale data provided by the patient terminal 200, the medical terminal 100 can determine the current trend of swelling in the patient's lower limbs by comparing the patient's lower limb circumference data with historical lower limb circumferences, and determine the patient's lower limb blood circulation status based on the trend of lower limb temperature data to assess the patient's condition. Furthermore, the medical terminal 100 completes the assessment of the risk of deep vein thrombosis in the lower limbs based on the patient's lower limb swelling, temperature changes, blood circulation status, and scale data (including the patient's lower limb skin color, pain score, and subjective sensation of numbness).

[0085] Example 3 This embodiment is a supplement to the above embodiment, and repeated content will not be described again.

[0086] This invention also relates to a method for preventing deep vein thrombosis in the lower extremities, such as... Figure 3 As shown, the steps include: S1: The medical terminal 100 inputs the patient's basic information and condition information to establish a patient file.

[0087] S2: Patients periodically input scale data and / or physiological data related to deep vein thrombosis of the lower extremities or the nursing process through the patient terminal 200. The scale data includes, but is not limited to, the Autar DVT formation risk assessment scale, the Wells scale, the RAPT score, the pain rating scale, the Villalta score, etc.

[0088] S3: The patient terminal 200 sends the collected scale data to the medical terminal 100 via the Internet. Preferably, if the medical terminal 100 determines that the patient has a high risk of DVT formation or worsening, the medical terminal 100 can send an early warning signal to the patient terminal 200, so that the patient terminal 200 can notify the patient to go to a medical institution to complete a color Doppler ultrasound examination or lower extremity venography.

[0089] S4: The medical terminal 100 formulates a personalized nursing plan based on the matching of the received scale data and physiological data with the sample cases of prevention of deep vein thrombosis of the lower extremities queried from the medical sample database, and sends the lower extremity nursing instructions to the patient terminal 200.

[0090] S5: After receiving the lower limb care instruction, the patient terminal 200 controls the nursing device 300 to perform the corresponding nursing operation.

[0091] S6: The patient terminal 200 feeds back the execution of the nursing device 300 to the medical terminal 100 in real time, so that the medical staff can understand the nursing situation of the patient in time, and the medical staff can adjust the lower limb nursing instructions through the medical terminal 100 as needed.

[0092] In this embodiment, the medical terminal 100 obtains other physiological data of the patient from the hospital in addition to only considering the scale data fed back by the patient terminal 200. Taking unilateral lower limb deep venous thrombosis monitoring as an example, the following is the scale data used in this embodiment:

[0093] The scale data obtained and provided by the patient terminal 200 is as follows.

[0094] Lower limb circumference measurement: Use a flexible tape measure to measure the circumference of the lower leg and thigh on the affected limb and the healthy side, and record the change in the value at the same position.

[0095] Lower limb skin temperature: Measure the skin temperature of the affected limb and the healthy side, and record the difference to assess possible inflammation or circulation problems.

[0096] Lower limb skin color: Assess potential circulation problems or infection by observing and recording changes in skin color.

[0097] Lower limb tenderness degree: Assess the location and degree of tenderness by pressing, and record using a pain rating scale.

[0098] Calf swelling degree: Assess the degree of calf swelling using a swelling rating scale and record.

[0099] Edema duration: Record the specific time of edema appearance and subsidence to understand the periodicity and persistence of edema.

[0100] Body weight: Measure body weight regularly to monitor whether there is weight gain related to edema.

[0101] Urine output: Record daily urine output to assess kidney function and fluid balance.

[0102] Blood pressure: Measure and record blood pressure to understand the status of the circulatory system.

[0103] Medication usage: Record the use of all medications, especially diuretics and anticoagulants. Lifestyle records: Record diet, exercise, sleep, and water intake to assess the impact on edema.

[0104] Other symptoms: Record whether there are other symptoms such as shortness of breath, chest pain, etc. to assess possible complications.

[0105] The scale data obtained or provided by the medical terminal 100 is as follows.

[0106] Blood D-dimer level: detected by blood draw and provided to or obtained by the healthcare terminal 100 via the HIS system to assess the risk of thrombosis.

[0107] Ultrasound results: obtained by the healthcare terminal 100 from the HIS system to assess blood flow conditions and the presence of thrombosis.

[0108] Electrocardiogram: obtained by the healthcare terminal 100 from the HIS system where the electrocardiogram is recorded to assess heart function and blood circulation conditions.

[0109] In this embodiment, which takes the monitoring of unilateral lower extremity deep vein thrombosis as an example, in order to determine the DVT emergency risk of the patient, the healthcare terminal 100 will analyze the current scale data of the corresponding patient whose temperature fluctuation exceeds the threshold in the emergency mode to determine whether to send an early warning signal to the corresponding patient terminal 200 by the healthcare terminal 100. In other words, in this embodiment, in addition to the subscription mode, the corresponding patient terminal 200 can also send an emergency label indicating an emergency situation to the healthcare terminal 100 to prompt the healthcare terminal 100 to give emergency care to the current patient, including obtaining all scale data of the current patient terminal 200 for emergency analysis.

[0110] In this embodiment, the patient terminal 200 continuously records and analyzes the skin temperature of the distal end of the limb with a high risk of thrombosis, such as the sole, measured by the lower extremity temperature detection unit 402, and the temperature difference between the core temperature of the corresponding patient, wherein the patient terminal 200 analyzes and determines the rate of change of the temperature difference related to time (i.e., the first temperature difference fluctuation rate), and when the temperature difference rate of change exceeds the first temperature difference fluctuation rate range preset by the healthcare terminal 100, the patient terminal 200 provides a prompt indicating an emergency situation to the patient so that the patient can confirm the first emergency situation according to at least another item of scale data, or directly sends an emergency label indicating an emergency situation to the healthcare terminal 100.

[0111] In this embodiment, the first temperature difference fluctuation rate is used to represent the time-related change of the difference between the distal temperature and the core temperature, which indicates the serious fluctuation of the distal end of the limb with a high risk of thrombosis in terms of hemodynamics.

[0112] When the patient terminal 200 determines that the first temperature difference fluctuation rate exceeds the preset range, the patient terminal 200 can also consider one of the following data as a secondary confirmation basis for the emergency situation.

[0113] (1) The duration of the distal skin temperature of the patient being lower than the preset distal temperature threshold has exceeded the preset low temperature warning duration; (2) The difference between the distal skin temperatures of the bilateral limbs of the patient exceeds the preset second temperature difference fluctuation rate range; (3) the absolute difference between the difference between the distal temperature and the core temperature of the affected limb and the difference between the distal temperature and the core temperature of the contralateral limb exceeds a preset third temperature difference fluctuation range; (4) the patient has pain in the lower limb with higher thrombosis risk, especially sharp pain or burning pain.

[0114] The first temperature difference fluctuation rate can be defined as the rate of change of the difference between the distal temperature and the core temperature over time. Mathematically, this can be expressed as: .

[0115] Preferably, to achieve the monitoring and comparison of the distal skin temperatures of the bilateral limbs (affected limb and contralateral limb) and to evaluate whether there is abnormal fluctuation, the second and third temperature difference fluctuation rates can be further analyzed by the following steps, wherein the second temperature difference fluctuation range is used to determine whether the difference between the distal skin temperatures of the bilateral limbs exceeds a preset range; the third temperature difference fluctuation range is used to determine whether the absolute difference between the difference between the distal temperature and the core temperature of the affected limb and the difference between the distal temperature and the core temperature of the contralateral limb exceeds a preset range.

[0116] According to the present application, the following temperatures are first collected: Distal skin temperature: Taffected: distal skin temperature of the affected limb.

[0117] Tcontralateral: distal skin temperature of the contralateral limb.

[0118] Core temperature: Tcore: core temperature.

[0119] In case (1), the temperature difference of the affected limb is calculated as follows: .

[0120] And the temperature difference of the contralateral limb is calculated as follows: .

[0121] In case (2), the second temperature difference fluctuation rate is calculated as follows: comparing the difference between the distal skin temperatures of the bilateral limbs ; and the third temperature difference fluctuation rate .

[0122] In case (3), it is determined whether the fluctuation range exceeds the threshold value.

[0123] For the second temperature difference fluctuation rate: If If the preset second temperature difference fluctuation rate range is exceeded, it is prompted that there is an abnormal fluctuation, which may reflect the abnormal blood flow dynamics of the affected limb.

[0124] For the third temperature difference fluctuation rate: If The preset third temperature difference fluctuation rate range is exceeded, it is prompted that there is a significant difference in blood flow dynamics between the affected limb and the contralateral limb.

[0125] According to an example of the present application, the second temperature difference fluctuation rate range is set to be, for example, And the third temperature difference fluctuation rate range is .

[0126] Temperature collection: ; ; .

[0127] Calculate the temperature difference: ; .

[0128] Calculate the temperature difference fluctuation rate: ; .

[0129] Determination: , exceeding the preset second temperature difference fluctuation rate range, prompting the existence of abnormality.

[0130] Exceeding the preset third temperature difference fluctuation rate range, it is prompted that there is a significant difference between the affected limb and the contralateral limb.

[0131] In healthy hemodynamic conditions, the difference between distal temperature and core temperature is usually stable, with small fluctuations. Normal thermoregulatory mechanisms maintain core temperature stability, while distal temperature is influenced by the environment and local blood flow, with some changes but not drastic fluctuations. In the case of blood flow obstruction and thrombosis, thrombosis can cause local blood flow obstruction, reducing blood supply to the distal limb, leading to a decrease in distal temperature. If the hemodynamics changes drastically in a short time (for example, the thrombus partially detaches, causing a temporary blood flow recovery, and then obstructs again), the distal temperature may fluctuate greatly. In this case, the fluctuation rate of the temperature difference may increase significantly, reflecting the instability of blood flow in the distal limb. By calculating the difference between the distal skin temperature of both limbs and the core temperature, and comparing the differences, the fluctuation of the distal temperature beyond the preset range can be effectively evaluated, to determine whether there is a high risk of thrombosis or abnormal hemodynamics. This method provides a quantitative tool for evaluating blood flow status, suitable for clinical monitoring and early warning.

[0132] Thus, in the case of secondary confirmation of the emergency situation by the patient terminal 200 manually or automatically, the patient terminal 200 provides the patient with a prompt indicating the emergency situation and directly sends an emergency label indicating the second emergency situation to the medical terminal 100, and the prompt is particularly used to trigger the dialing of an emergency call. At this time, the medical terminal 100 sends a prompt of an emergency case to the corresponding medical institution in response to the receipt of the emergency label indicating the second emergency situation. Through the above application scenarios of the present application, the system of the present application not only realizes seamless connection between medical institutions and home care, ensuring that the patient can receive continuous and professional nursing guidance during the rehabilitation period after discharge, but also improves the safety of nursing through the intelligent grading emergency mechanism of the system.

[0133] Throughout the text, the features introduced by "preferably" are only optional ways and should not be understood as mandatory settings, so the applicant reserves the right to abandon or delete the relevant preferred features at any time. Moreover, the above embodiments can be combined with each other as long as there is no contradiction. For example, the method described in embodiment 3 can also be part of the system described in embodiment 1 and the medical sample database described in embodiment 2, for example, the difference between the distal temperature and the core temperature involved is not only collected and executed by the system hardware, but also an important item in the database. Similar examples also involve the data exchange, prompt or operation instruction transmission and reception between the patient terminal 200 and the medical terminal 100.

[0134] It should be noted that the above-mentioned embodiments illustrate rather than limit the application, and that those skilled in the art will be able to devise modifications which, though perhaps not explicitly described or shown herein, nonetheless fall within the scope of the application. Accordingly, the patent application includes all modifications encompassed within the scope of the claims and their equivalents. The patent application contains several inventive concepts, and the applicant reserves the right to file separate applications on each of these concepts, or on any combination or sub-combination of these concepts.

Claims

1. A patient terminal, characterized by, The patient terminal (200) is in data connection with the medical terminal (100) and establishes data interaction with at least one monitoring device (400) for obtaining scale data and / or physiological data related to prevention of deep vein thrombosis of the lower extremities of the target patient; wherein the scale data is input by the target patient on the patient terminal (200) and / or is called by the patient terminal (200), and the physiological data is obtained by the monitoring device (400); Wherein, the patient terminal (200) is configured to: obtain the core temperature and at least one distal skin temperature of the lower extremities of the target patient by using the monitoring device (400), and determine the temperature difference value based on the core temperature and the at least one distal skin temperature of the lower extremities; further, determine the rate of change of the temperature difference value related to time as the temperature difference fluctuation rate; When the temperature difference fluctuation rate exceeds the preset temperature difference fluctuation rate range of the medical terminal (100), the patient terminal (200) sends an emergency label indicating an emergency situation and the current scale data of the corresponding patient to the medical terminal (100), so as to prompt the medical terminal (100) to analyze the current scale data of the corresponding patient in an emergency mode and urgently determine whether to send a warning signal to the patient terminal (200).

2. A healthcare terminal that generates a lower extremity deep vein thrombosis prevention care plan, characterized by, The medical terminal (100) is in data connection with the patient terminal (200), and the medical terminal (100) is configured to: After obtaining the scale data related to deep vein thrombosis of the lower extremities of a patient, the sample cases for preventing deep vein thrombosis of the lower extremities are called and analyzed to formulate, confirm or update the current individualized prevention care plan of the patient according to the obtained scale data related to the corresponding patient, and the prevention care plan is sent to the patient terminal (200) in the form of lower extremity care instructions; Wherein, the lower extremity care instructions are instructions to be sent by the patient terminal (200) to at least one care device (300) bound thereto after being approved by the medical terminal (100), and the lower extremity care instructions at least include care mode, care time and care intensity; And the medical terminal (100) is further configured to: in the process of formulating, confirming or updating the individualized prevention care plan, the label information related to the individualized prevention care plan is stored in a medical sample database in a standardized format for subsequent case retrieval and training development.

3. A medical care terminal for constructing a preventive lower extremity deep vein thrombosis care training set, characterized by, The medical terminal (100) establishes data connection with multiple patient terminals (200) and is configured to: According to the scale data and / or physiological data of multiple patients received in a subscription mode and / or a real-time feedback mode, the medical sample database is labeled in a manner related to the individualized prevention care plan of the patient to make the medical sample database a standardized training set; The label at least includes a preventive care plan and lower limb care instructions corresponding to scale data and / or physiological data of the patient; and the standardized training set is anonymized for subsequent training development and / or for correlation analysis of the relationship between the diversified preventive care plan and the scale data change trend.

4. A lower extremity deep vein thrombosis monitoring system, comprising a medical terminal (100), a patient terminal (200) and a nursing device (300), and the patient terminal (200) is in data interaction with at least one monitoring device (400), characterized in that, The system has a subscription mode centered on home care and a real-time feedback mode centered on telemedicine; In the subscription mode, the patient terminal (200) establishes a data connection with the medical terminal (100) at a data transmission frequency of a first subscription cycle to send scale data related to deep vein thrombosis of lower limbs and physiological data including lower limb girth data and / or lower limb temperature data to the medical terminal (100), and the medical terminal (100) evaluates the risk probability of deep vein thrombosis or aggravation of lower limbs based on the scale data and / or the physiological data; When the risk probability exceeds a preset threshold, the medical terminal (100) sends a first warning signal to the corresponding patient terminal (200), and the patient terminal (200) responds to the receipt of the first warning signal by switching the patient terminal (200) from the subscription mode to the real-time feedback mode and establishing a data connection with a higher data transmission frequency than the first subscription cycle in the real-time feedback mode; Or, when the patient terminal (200) determines that the temperature difference fluctuation rate based on the core body temperature and the distal skin temperature of the lower limbs exceeds the temperature difference fluctuation rate range preset by the medical terminal (100), the patient terminal (200) sends an emergency label and the current scale data of the corresponding patient to the medical terminal (100) to prompt the medical terminal (100) to analyze and determine whether to send a warning signal to the patient terminal (200) in an emergency mode.

5. The patient terminal or system according to claim 1 or 4, characterized in that When it is detected that the temperature difference fluctuation rate exceeds the preset range, the patient terminal (200) generates the emergency label, and the emergency condition determination basis corresponding to the emergency label is as follows: the duration of the distal skin temperature of the lower limbs being lower than the preset distal temperature threshold exceeds the preset low temperature warning duration; the difference between the distal skin temperatures of the bilateral lower limbs exceeds the preset second temperature difference fluctuation rate range; the absolute difference between the difference between the distal skin temperature of the affected side lower limb and the core body temperature and the difference between the distal skin temperature of the contralateral lower limb and the core body temperature exceeds the preset third temperature difference fluctuation rate range; or there is pain in the lower limb with a higher risk of thrombosis.

6. The patient terminal or system of claim 1 or 4, wherein, When the emergency label indicates a preset second emergency condition, the patient terminal (200) outputs an emergency prompt to the patient for triggering an emergency call; and / or the medical terminal (100) sends emergency case prompt information to the medical institution in response to the emergency label.

7. The point-of-care terminal or system according to claim 2 or 4, wherein, The medical terminal (100) forms a standardized evaluation marking and scoring mechanism through a preset scale scoring standard, and stores the scale data and the evaluation marking in a structured manner and performs anonymization processing to construct a training set with richer data dimensions; wherein the marking includes the prevention-related marking recorded by the sample case itself and / or the dynamic marking formed by the medical personnel based on the actual situation of the current patient, and the marking further includes at least one of the nursing operation steps, precautions, and expected effects.

8. The system of claim 4, wherein, In the real-time feedback mode, the real-time feedback mode data connection established between the patient terminal (200) and the medical terminal (100) has a data transmission frequency higher than the first subscription period, so that the real-time feedback mode has a high-frequency second subscription period; and the patient terminal (200) applies high-frequency data acquisition instructions to the monitoring device (400); for non-wearable monitoring devices, the acquisition frequency at least reflects the reminder frequency of SMS or instant messaging messages.

9. The point-of-care terminal or system of claim 2 or 4, wherein, The medical terminal (100) updates the lower limb nursing instruction to mechanical compression or electrical stimulation of the lower limb to promote venous blood return when evaluating that the scale data related to the corresponding patient reflects that the corresponding patient has not occurred lower limb deep vein thrombosis or lower limb deep vein thrombosis risk is low; and in the case of evaluating that the scale data reflects that the corresponding patient has occurred lower limb deep vein thrombosis or lower limb deep vein thrombosis risk is high, the lower limb nursing instruction is updated to avoid mechanical compression or electrical stimulation of the lower limb to avoid thrombus detachment.

10. The point-of-care terminal or system of claim 2 or 4, wherein, The medical terminal (100) prolongs the nursing device (300) nursing execution interval in the lower limb nursing instruction of the prevention nursing scheme when judging that the patient has lower lower limb deep vein thrombosis risk and the lower limb swelling degree subsides, to avoid the patient from appearing fatigue.

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