Internal medicine nursing infection control and protection system

Abstract

The invention relates to the technical field of internal medicine nursing, and discloses an internal medicine nursing infection control and protection system which comprises an automatic monitoring module, a comprehensive evaluation module, a control processing module, an intelligent analysis module and an early warning module. The comprehensive evaluation module is used for calculating an environmental sensitivity index of a patient and judging whether the current environment needs to be adjusted or not, automatic adjustment is carried out through the control processing module under the condition that adjustment needs to be carried out, and the intelligent analysis module is used for firstly obtaining basic data of the patient; according to the method, the vital sign data of a patient is acquired, the infection characteristic index of the patient is calculated in combination with the vital sign data of the patient, whether the infection degree of the patient needs to be intervened is judged, an intervention signal is sent to the early warning module when intervention is needed, infection risk early warning is achieved, and the infection incidence rate is effectively reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of internal medicine nursing, in particular to an internal medicine nursing infection control and protection system. BACKGROUND

[0002] Internal medicine nursing is a series of nursing work for patients with internal medicine diseases, based on the theory of internal medicine in clinical medicine and combined with the knowledge and skills of nursing science. Its scope is extensive, covering the nursing of respiratory, circulatory, digestive, urinary, blood, endocrine and other system diseases, involving the nursing service from disease prevention, diagnosis, treatment to rehabilitation. Whether it is common hypertension, diabetes, or complex leukemia, systemic lupus erythematosus, it is within the scope of nursing.

[0003] Internal medicine nursing plays an irreplaceable role in the medical system, whether it is for individual rehabilitation of patients or for medical team collaboration and optimization of medical resources, it has significant benefits, from disease prevention, health education, to observation of disease condition, treatment cooperation during treatment, and nursing guidance during rehabilitation, internal medicine nursing runs through the whole process of patient treatment.

[0004] Internal medicine nursing provides whole-process health services for patients with professional medical knowledge and skilled nursing skills. In terms of disease treatment, nurses can effectively improve the treatment effect by accurately executing medical orders, standardizing the operation of various treatment methods, ensuring that drugs are accurately and timely delivered to patients' bodies, and assisting doctors in completing various examinations and treatments. In the observation of disease condition, with keen observation and professional judgment, nurses can timely find subtle changes in disease condition, provide key basis for doctors to adjust treatment plan, avoid disease deterioration, and reduce the risk of complications. In terms of rehabilitation nursing, through scientific life nursing and individualized health guidance, nurses help patients develop good living habits, master disease self-management methods, promote physical function recovery, and improve life quality. For patients' psychological problems, nurses give emotional support and psychological counseling, which can alleviate patients' negative emotions such as anxiety and fear, enhance their confidence to overcome diseases, and actively cooperate with treatment. In addition, internal medicine nursing can also optimize medical team collaboration, efficiently transfer patient information, improve medical service efficiency, save medical resources, and ensure patients' health from multiple dimensions, promoting the development of medical industry.

[0005] The existing part of medical institutions has significant defects in infection monitoring and early warning, which leads to the difficulty in timely discovery and effective control of infection events. Specifically, these institutions generally lack advanced infection monitoring technology, especially automated monitoring systems, which cannot collect, analyze and feedback infection data in real time, making the identification and handling of infection events lag. At the same time, due to the lack of effective infection early warning mechanism, it is impossible to issue an alarm at the early stage of infection event to remind medical staff to take preventive measures quickly. The double problems of backward monitoring technology and lack of early warning mechanism often lead to the fact that infection events are not detected at the early stage, which further causes the expansion of infection range and the increase of treatment difficulty, seriously threatening patient safety and medical quality. SUMMARY

[0006] (I) Technical problems solved In view of the deficiencies of the prior art, the present application provides an internal medicine nursing infection control and protection system, which relies on automatic monitoring technology, automatic monitoring module, patient automatic monitoring unit and environment automatic monitoring unit, which can collect patient vital signs and environmental monitoring data in real time and accurately. The comprehensive evaluation module and the intelligent analysis module respectively start from the environmental and individual differences of patients, calculate the patient environmental sensitivity index and the infection characteristic index through specific formula, and deeply analyze the data. Once the patient environmental sensitivity index exceeds the threshold value, the control processing module automatically adjusts the environmental parameters; if the patient infection characteristic index is higher than the set value, the early warning module will send intervention information to the medical platform immediately, and the buzzer will issue an alarm. This system establishes an efficient and accurate infection early warning mechanism through automatic monitoring, differentiated analysis and real-time feedback, realizes early warning of infection risk, effectively reduces the incidence of infection, provides strong protection for patient safety, and significantly improves the scientificity and effectiveness of internal medicine nursing infection prevention and control.

[0007] (II) Technical solutions To achieve the above-mentioned purpose, the present application provides the following technical solutions: an internal medicine nursing infection control and protection system, comprising an automatic monitoring module, a comprehensive evaluation module, a control processing module, an intelligent analysis module and an early warning module. The automatic monitoring module comprises a patient automatic monitoring unit and an environment automatic monitoring unit. The patient automatic monitoring module is used to connect medical equipment to obtain patient vital sign data, and the environment automatic monitoring unit is used to connect environment monitoring equipment to obtain environmental monitoring data of the area where the patient is located. The patient automatic monitoring unit and the environment automatic monitoring unit send the obtained patient vital sign data and environmental monitoring data to the comprehensive evaluation module through the network. The comprehensive evaluation module comprises a calculation unit and an evaluation unit. The computing unit is configured to calculate a patient environment sensitive index according to the patient vital sign data and the environmental monitoring data received by the comprehensive evaluation module and send the patient environment sensitive index to the evaluation unit. The evaluation unit is configured to determine whether the current environment needs to be adjusted according to the patient environment sensitive index, and send an adjustment instruction to the control processing module in the case that the current environment needs to be adjusted. The control processing module is configured to automatically adjust the current environmental monitoring data in the case that the adjustment instruction is received. The intelligent analysis module includes a patient information acquisition unit and an analysis unit. The patient information acquisition unit is configured to acquire patient basic data and calculate a patient infection characteristic index according to the patient vital sign data, and send the patient infection characteristic index to the analysis unit. The analysis unit is configured to determine whether the patient infection needs to be intervened according to the patient infection characteristic index, and send an intervention signal to the early warning module in the case that the patient infection needs to be intervened.

[0008] Preferably, the patient vital sign data includes body temperature, pulse, respiratory rate, blood pressure, blood oxygen saturation, consciousness state, white blood cell count, C-reactive protein and procalcitonin. The expression number of the patient vital sign data is as follows: , wherein, represents the body temperature, represents the pulse, represents the respiratory rate, represents the blood pressure, represents the blood oxygen saturation, represents the consciousness state, represents the white blood cell count, represents the C-reactive protein, represents the procalcitonin.

[0009] Preferably, the environmental monitoring data includes microorganism concentration, fresh air volume, temperature, humidity, personnel flow density, light intensity, noise and drug-resistant bacteria. The expression number of the environmental monitoring data is as follows: , wherein, represents the microorganism concentration, represents the fresh air volume, represents the temperature, represents the humidity, represents the personnel flow density, represents the light intensity, represents the noise, represents the drug-resistant bacteria.

[0010] Preferably, the calculation formula of the patient environment sensitive index is as follows: ; ; In the calculation formula, Represents the patient's environmental sensitivity index, Represents the current environmental comprehensive index under the current environmental monitoring data, The 8 in the figure represents the standard environmental comprehensive index under the standard environmental monitoring data. Represents the current patient vital signs index in the current environment, The 8 in the figure represents the standard vital signs index for a standard patient under standard conditions; The current environmental comprehensive index The calculation formula is: ; ; In the calculation formula, Represents the environmental monitoring data under the current environmental monitoring data The current value of the parameter, Representative The standard value of the parameter; The current patient vital signs index The calculation formula is: ; ; In the calculation formula, Represents the current environmental monitoring data Patient vital signs data parameters, Representative of the regular Patient vital sign data parameters.

[0011] Preferably, a patient environment sensitivity index threshold is set inside the evaluation unit. When the patient environment sensitivity index is greater than the patient environment sensitivity index threshold, it means that the current environment needs to be adjusted, otherwise the environment does not need to be adjusted.

[0012] Preferably, the specific method of automatic adjustment is: The microbial concentration, fresh air volume, temperature, humidity, personnel flow density, light intensity, noise, and drug-resistant bacteria in the environmental monitoring data are compared with the corresponding standard values, and the microbial concentration, fresh air volume, temperature, humidity, personnel flow density, light intensity, noise, and drug-resistant bacteria are adjusted from large to small according to the degree of deviation from the comparison, so that the degree of deviation of the microbial concentration, fresh air volume, temperature, humidity, personnel flow density, light intensity, noise, and drug-resistant bacteria from the corresponding standard values ​​becomes smaller, and the patient environmental sensitivity index is repeatedly calculated until the result of the patient environmental sensitivity index is no greater than the patient environmental sensitivity index threshold.

[0013] Preferably, the patient's own basic data includes patient age, weight, height, basic health status, immune status, nutritional status, basic disease condition, and the expression number of the patient's vital sign data is: , wherein, represents age, represents weight, represents height, represents basic health status, represents immune status, represents nutritional status, represents basic disease condition.

[0014] Preferably, the calculation formula of the patient infection characteristic index is: ; In the calculation formula, represents the patient infection characteristic index, represents the current patient physical index of the current patient vital sign data, represents the standard patient physical index under the standard patient vital sign data; The calculation formula of the current patient physical index is: ; In the calculation formula, represents the th parameter in the current patient vital sign data, represents the standard value of the th parameter; The calculation formula of the standard patient physical index is: ; In the calculation formula, represents the average value of the th parameter in the current patient vital sign data.

[0015] Preferably, the analysis unit is internally provided with a patient infection characteristic index threshold, and when the patient infection characteristic index is greater than the patient infection characteristic index threshold, it indicates that the patient has an infection risk, and the intervention signal is sent to the early warning alarm module.

[0016] Preferably, the early warning alarm module receives the intervention signal, sends the intervention information to the medical care platform, and issues an alarm in combination with a buzzer.

[0017] Compared with the prior art, the present application provides an internal medicine nursing infection control and protection system, which has the following beneficial effects: 1、The present application realizes all-round control of the patient's treatment environment through automatic monitoring technology. The environmental automatic monitoring unit and the patient automatic monitoring unit in the automatic monitoring module continuously collect data such as the concentration of microorganisms, temperature and humidity in the environment, and vital sign data such as the patient's body temperature and white blood cell count, and transmit them to the comprehensive evaluation module. The calculation unit calculates the patient's environmental sensitivity index according to a specific formula, and the evaluation unit compares it with the threshold value. Once the threshold value is exceeded, the control processing module immediately starts the environmental adjustment program, adjusts the parameter with the largest deviation first according to the degree of deviation of each environmental parameter from the standard value, and through continuous cyclic calculation and adjustment, the environment reaches the safety standard. This workflow can dynamically maintain the safety of the patient's treatment environment, reduce the risk of infection caused by environmental factors, create a healthy and stable treatment space for patients, and effectively improve the infection prevention and control effect.

[0018] 2、The present application fully considers the individual differences of patients, and the patient information acquisition unit of the intelligent analysis module collects the patient's age, basic disease condition and other basic data, combines with the vital sign data, and calculates the patient's infection characteristic index through a specific formula. The analysis unit compares the index with the preset threshold value. When the patient's infection characteristic index exceeds the threshold value, it means that there is a risk of infection. At this time, the early warning alarm module quickly sends intervention information to the medical platform and triggers the buzzer to issue a warning. This process starts from the individual health status of the patient, accurately identifies the potential infection risk, realizes early warning of infection, enables medical staff to intervene in time, takes targeted prevention and control measures, avoids the occurrence and spread of infection, and provides precise and efficient protection for the health of patients. BRIEF DESCRIPTION OF DRAWINGS

[0019] Fig. 1 is a schematic diagram of the system of the present application; Fig. 2 is a schematic diagram of the system workflow of the present application; Fig. 3 is a schematic diagram of the working process of the automatic monitoring module of the present application. DETAILED DESCRIPTION

[0020] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0021] Please refer to Figs. 1-3 , an internal medicine nursing infection control and protection system, comprising an automatic monitoring module, a comprehensive evaluation module, a control processing module, an intelligent analysis module and an early warning alarm module; The automatic monitoring module comprises a patient automatic monitoring unit and an environment automatic monitoring unit. The patient automatic monitoring module is used for connecting medical devices to obtain patient vital sign data. The patient vital sign data comprises body temperature, pulse, respiratory rate, blood pressure, blood oxygen saturation, consciousness state, white blood cell count, C-reactive protein and procalcitonin, and the expression numbers of the patient vital sign data are as follows: Among them, represents the body temperature, represents the pulse, represents the respiratory rate, represents the blood pressure, represents the blood oxygen saturation, represents the consciousness state, represents the white blood cell count, represents the C-reactive protein, represents the procalcitonin. The standardization coding process of the patient vital sign data gives each physiological index a unique identifier, realizes the structured management and efficient analysis of medical data, covers multi-dimensional indexes such as body temperature, respiration, circulation and inflammatory response, comprehensively reflects the physiological state of the patient, and can compare the normal range in real time to assist in early detection of infection signs. The unified coding facilitates data integration between different medical devices and information systems, supports dynamic trend analysis, and provides quantitative basis for infection risk assessment and early warning threshold setting, thereby improving the timeliness and accuracy of nursing intervention. The coding system significantly improves the scientific and refined level of infection prevention and control. The environment automatic monitoring unit is used for connecting environment monitoring devices to obtain environment monitoring data of an area where the patient is located. The environment monitoring data comprises microbial concentration, fresh air volume, temperature, humidity, personnel flow density, light intensity, noise and drug-resistant bacteria, and the expression numbers of the environment monitoring data are as follows: Among them, represents the microbial concentration, represents the fresh air volume, represents the temperature, represents the humidity, represents the personnel flow density, represents the light intensity, represents the noise, represents the drug-resistant bacteria. Standardized coding of environmental monitoring data enables systematic management and scientific assessment of medical environmental risks by assigning unique identifiers to various environmental parameters. This system covers key factors such as airborne microorganisms, temperature and humidity, and personnel flow, capturing potential triggers of hospital-acquired infections in real time. Coded data can quantitatively analyze the relationship between the environment and infection, providing evidence support for prevention and control measures. Ventilation and personnel flow management in medical facilities can be regulated through parameters such as fresh air volume and personnel flow density, reducing the probability of cross-infection. Standardized data facilitates the integration of environmental monitoring and patient vital signs information, building an intelligent early warning system that connects people to the environment. This coding system significantly improves the spatial accuracy and management efficiency of infection control. The patient automatic monitoring unit and the environment automatic monitoring unit send the acquired patient vital sign data and environment monitoring data to the comprehensive evaluation module via the network; The comprehensive evaluation module includes a calculation unit and an evaluation unit; The calculation unit is used to calculate the patient's environmental sensitivity index based on the patient's vital signs data and environmental monitoring data received by the comprehensive evaluation module and send it to the evaluation unit; The calculation formula of the patient's environmental sensitivity index is: ; ; In the calculation formula, Represents the patient's environmental sensitivity index, Represents the current environmental comprehensive index under the current environmental monitoring data, The 8 in the figure represents the standard environmental comprehensive index under the standard environmental monitoring data. Represents the current patient vital signs index in the current environment, The 8 in the figure represents the standard vital signs index for a standard patient under standard conditions; By comparing the comprehensive index and patient vital signs index of the current environment with that of the standard environment, the patient's sensitivity to the environment is quantitatively assessed. Using the standard environment as a benchmark, the interference of the environment itself on the index is eliminated, accurately reflecting the individual patient's response to environmental changes. The ratio of the comprehensive environmental index to the vital signs index comprehensively considers the correlation between environmental factors such as temperature and humidity, microorganisms, and personnel flow and physiological indicators such as body temperature and pulse. The numerical sensitivity index can identify high-risk patients before infection occurs, providing a basis for personalized environmental intervention, and realizing the linkage analysis of environmental and physiological data, significantly improving the predictability and accuracy of infection prevention and control. Current Environmental Comprehensive Index The calculation formula is: ; ; In the calculation formula, a current value of a parameter in the environmental monitoring data under the current environmental monitoring data, a standard value of the parameter, a standard value of the parameter, a standard value of the parameter; a current patient vital sign index The calculation formula is: ; ; In the calculation formula, represent the first patient vital sign data parameter under the current environmental monitoring data, represent the first patient vital sign data parameter under the current environmental monitoring data; represent the first patient vital sign data parameter under the current environmental monitoring data; The evaluation unit is internally provided with a patient environmental sensitivity index threshold value. When the patient environmental sensitivity index is greater than the patient environmental sensitivity index threshold value, it indicates that the current environment needs to be adjusted, otherwise the environment does not need to be adjusted. The evaluation unit sends an adjustment instruction to the control processing module when adjustment is needed. The control processing module is used to automatically adjust the current environmental monitoring data when receiving the adjustment instruction. The automatic adjustment is specifically: The microbial concentration, fresh air volume, temperature, humidity, personnel flow density, light intensity, noise, and drug-resistant bacteria in the environmental monitoring data are compared with the corresponding standard values, and the microbial concentration, fresh air volume, temperature, humidity, personnel flow density, light intensity, noise, and drug-resistant bacteria are adjusted in descending order of deviation, so that the deviation of the microbial concentration, fresh air volume, temperature, humidity, personnel flow density, light intensity, noise, and drug-resistant bacteria from the corresponding standard values is reduced, and the patient environmental sensitivity index is recalculated until the patient environmental sensitivity index is not greater than the patient environmental sensitivity index threshold value. The automatic adjustment method compares the deviation of the environmental parameters from the standard values dynamically, and preferentially adjusts the indicators with the largest deviation, achieving precise and efficient environmental optimization. The parameters that significantly affect the infection risk, such as microbial concentration, temperature and humidity, are preferentially adjusted to quickly reduce high-risk factors. The patient environmental sensitivity index is recalculated after each round of adjustment to ensure that the environmental adjustment continuously approaches the safety threshold, avoiding excessive regulation. Based on the quantitative comparison of real-time monitoring data and standard values, the error of human experience judgment is reduced, the scientificity of adjustment is improved, the parameters are adjusted in descending order of deviation, avoiding indiscriminate adjustment of all parameters, reducing energy consumption and equipment wear and tear. Automatic adjustment through intelligent iterative optimization controls the environmental risk within the individual tolerance range, significantly improving the timeliness and environmental adaptability of infection prevention and control. ​The intelligent analysis module includes a patient information acquisition unit and an analysis unit. The patient information acquisition unit is used to obtain the patient's own basic data, and calculate the patient's infection characteristic index in combination with the patient's vital signs data and send it to the analysis unit; The patient's basic data includes age, weight, height, basic health status, immune status, nutritional status, and basic disease status. The expression number of the patient's vital signs data is: ,in, Represents age, represents body weight, Represents height, Represents basic health status, Represents immune status, Represents nutritional status, represents the underlying disease condition; Standardized coding of patients' basic data enables structured management and personalized analysis of medical information by assigning unique identifiers to individual characteristics. Combined with baseline data such as age and immune status, it can quantify infection vulnerability. Coding data facilitates long-term tracking of trends in vital signs, improving the accuracy of early warning models. By integrating individual differences with dynamic data, it provides a scientific basis for precise infection prevention and control. The calculation formula of the patient infection characteristic index is: ; In the calculation formula, Represents the patient infection characteristic index, The current patient's body index representing the current patient's vital signs data, Represents the standard patient body index under standard patient vital signs data; Current patient body mass index The calculation formula is: ; In the calculation formula, Represents the current patient's vital signs data parameters, Representative The standard value of the parameter; Standard patient body mass index The calculation formula is: ; In the calculation formula, Represents the current patient's vital signs data The average value of the parameters; By standardizing the ratio of vital sign parameters, the quantitative evaluation and dynamic monitoring of the patient's infection risk are realized. With the standard value and the group mean value as the benchmark, the individual differences of the absolute value of a single index are eliminated, the abnormal deviation is more sensitive, the overall physiological state is comprehensively evaluated, the misjudgment of a single index is avoided, the timeliness of evaluation is improved, the complex physiological data is converted into an intuitive index, which provides an objective basis for early identification of infection and precise prevention and control. The analysis unit is internally provided with a patient infection characteristic index threshold value. When the patient infection characteristic index is greater than the patient infection characteristic index threshold value, it represents that the patient has an infection risk, and an intervention signal is sent to the early warning alarm module. The early warning alarm module receives the intervention signal, sends intervention information to the medical care platform, and issues an alarm in conjunction with a buzzer. Through dynamic threshold judgment and multi-modal early warning, the precise identification and rapid response of the infection risk are realized. With the patient infection characteristic index threshold value as the boundary, the normal fluctuation and abnormal deviation are objectively distinguished, subjective misjudgment is avoided, the index over-limit is automatically pushed to the medical care platform and linked with the buzzer, ensuring that high-risk patients are given priority for disposal, visual and auditory response is coordinated, ensuring that the alarm effectively reaches in complex environments, forming a complete link from data calculation to on-site alarm, shortening the response delay, reducing the probability of hospital infection transmission, converting implicit risks into explicit early warnings, and significantly improving the initiative and reliability of infection prevention and control.

[0022] Although embodiments of the present application have been shown and described, it will be understood by those having ordinary skill in the art that various changes, modifications, substitutions and alterations can be made thereto without departing from the principles and spirit of the present application, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An internal medicine nursing infection control and protection system, characterized by: It includes automatic monitoring module, comprehensive evaluation module, control processing module, intelligent analysis module and early warning module; The automatic monitoring module includes a patient automatic monitoring unit and an environment automatic monitoring unit; The patient automatic monitoring module is used to connect to medical equipment to obtain patient vital signs data, and the environment automatic monitoring unit is used to connect to environmental monitoring equipment to obtain environmental monitoring data of the patient's area. The patient automatic monitoring unit and the environment automatic monitoring unit send the acquired patient vital signs data and environmental monitoring data to the comprehensive evaluation module via the network; The comprehensive evaluation module includes a calculation unit and an evaluation unit; The calculation unit is used to calculate the patient's environmental sensitivity index based on the patient's vital signs data and environmental monitoring data received by the comprehensive evaluation module and send it to the evaluation unit. The evaluation unit is used to determine whether the current environment needs to be adjusted based on the patient's environmental sensitivity index, and if adjustment is required, send an adjustment instruction to the control processing module; The control processing module is used to automatically adjust the current environmental monitoring data when receiving the adjustment instruction; The intelligent analysis module includes a patient information acquisition unit and an analysis unit. The patient information acquisition unit is used to obtain the patient's own basic data, and calculate the patient's infection characteristic index in combination with the patient's vital signs data and send it to the analysis unit. The analysis unit is used to determine whether the patient's infection level requires intervention based on the patient's infection characteristic index, and send an intervention signal to the early warning module if intervention is required.

2. The internal medicine nursing infection control and protection system according to claim 1, characterized in that: The patient's vital signs data include body temperature, pulse, respiratory rate, blood pressure, blood oxygen saturation, consciousness, white blood cell count, C-reactive protein, procalcitonin. The expression number of the patient's vital signs data is: ,in, Represents body temperature, Represents the pulse, Represents the respiratory rate, Represents blood pressure, Represents blood oxygen saturation, Represents the state of consciousness, stands for white blood cell count, stands for C-reactive protein, Stands for procalcitonin.

3. The internal medicine nursing infection control and protection system according to claim 2, characterized in that: The environmental monitoring data includes microbial concentration, fresh air volume, temperature, humidity, personnel flow density, light intensity, noise, and drug-resistant bacteria. The expression number of the environmental monitoring data is: ,in, Represents microbial concentration, represents the fresh air volume, represents temperature, Represents humidity, Representative personnel flow density, Represents the light intensity, Represents noise, Represents drug-resistant bacteria.

4. The internal medicine nursing infection control and protection system according to claim 3, characterized in that: The calculation formula of the patient's environmental sensitivity index is: ； ； In the calculation formula, Represents the patient's environmental sensitivity index, Represents the current environmental comprehensive index under the current environmental monitoring data, The 8 in the figure represents the standard environmental comprehensive index under the standard environmental monitoring data. Represents the current patient vital signs index in the current environment, The 8 in the figure represents the standard vital signs index for a standard patient under standard conditions; The current environmental comprehensive index The calculation formula is: ； ； In the calculation formula, Represents the environmental monitoring data under the current environmental monitoring data The current value of the parameter, Representative The standard value of the parameter; The current patient vital signs index The calculation formula is: ； ； In the calculation formula, Represents the current environmental monitoring data Patient vital signs data parameters, Representative of the regular Patient vital sign data parameters.

5. The internal medicine nursing infection control and protection system according to claim 4, characterized in that: The evaluation unit is internally provided with a patient environment sensitivity index threshold. When the patient environment sensitivity index is greater than the patient environment sensitivity index threshold, it indicates that the current environment needs to be adjusted; otherwise, the environment does not need to be adjusted.

6. The internal medicine nursing infection control and protection system according to claim 5, characterized in that: The specific method of automatic adjustment is: The microbial concentration, fresh air volume, temperature, humidity, personnel flow density, light intensity, noise, and drug-resistant bacteria in the environmental monitoring data are compared with the corresponding standard values, and the microbial concentration, fresh air volume, temperature, humidity, personnel flow density, light intensity, noise, and drug-resistant bacteria are adjusted from large to small according to the degree of deviation from the comparison, so that the degree of deviation of the microbial concentration, fresh air volume, temperature, humidity, personnel flow density, light intensity, noise, and drug-resistant bacteria from the corresponding standard values ​​becomes smaller, and the patient environmental sensitivity index is repeatedly calculated until the result of the patient environmental sensitivity index is no greater than the patient environmental sensitivity index threshold.

7. The internal medicine nursing infection control and protection system according to claim 6, characterized in that: The patient's basic data includes the patient's age, weight, height, basic health status, immune status, nutritional status, and basic disease status. The expression number of the patient's vital signs data is: ,in, Represents age, represents body weight, Represents height, Represents basic health status, Represents immune status, Represents nutritional status, Represents the underlying disease condition.

8. The internal medicine nursing infection control and protection system according to claim 7, characterized in that: The calculation formula of the patient infection characteristic index is: ； In the calculation formula, Represents the patient infection characteristic index, The current patient's body index representing the current patient's vital signs data, Represents the standard patient body index under standard patient vital signs data; The current patient body mass index The calculation formula is: ； In the calculation formula, Represents the current patient's vital signs data parameters, Representative The standard value of the parameter; The standard patient body index The calculation formula is: ； In the calculation formula, Represents the current patient's vital signs data The average value of the parameters.

9. The internal medicine nursing infection control and protection system according to claim 8, characterized in that: A patient infection characteristic index threshold is set inside the analysis unit. When the patient infection characteristic index is greater than the patient infection characteristic index threshold, it means that the patient is at risk of infection, and an intervention signal is sent to the early warning module.

10. The internal medicine nursing infection control and protection system according to claim 9, characterized in that: Upon receiving the intervention signal, the early warning alarm module sends the intervention information to the medical care platform and issues an alarm in conjunction with the buzzer.

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