Informationized nursing grading assessment and early warning system for burn patients

Abstract

This invention discloses an information-based nursing grading assessment and early warning system for burn trauma patients, comprising a pre-hospital subsystem, an in-hospital subsystem, and an Internet of Things (IoT) system. The pre-hospital subsystem includes a multi-source data acquisition unit for inputting various information about burn trauma patients. The IoT system includes a communication module and an edge computing module. The in-hospital subsystem includes an in-hospital preparation unit for calculating burn trauma area X... m Vital signs X t and wound temperature change rate X w Prepare for nursing care; this invention utilizes the area of ​​the burn wound X m Vital signs X t and wound temperature change rate X w It enables the assessment of burn injury severity; it innovatively integrates a comprehensive scoring formula that combines burn area, shock index, and wound temperature change rate to calculate burn injury severity; and it implements an automatic material matching mechanism based on the severity rating, which can automatically unlock the corresponding first aid kit.

Description

Technical Field

[0001] This invention relates to assessment and early warning systems applicable to burn trauma, and more specifically, to an information-based nursing care grading assessment and early warning system for burn trauma patients. Background Technology

[0002] Burn trauma (including burns and combined traumatic injuries) is a type of acute injury with a high mortality and disability rate, and its treatment involves multidisciplinary collaboration and complex clinical decision-making. Currently, patient reception and care processes in clinical practice face the following challenges:

[0003] Delayed injury assessment: Traditional burn area estimation relies on manual "nine-point method" or "palm method," with an error rate as high as 15%-20%, which is further amplified in special groups such as children and obese individuals. A multicenter study showed that fluid resuscitation volume deviation due to area misjudgment exceeded 30%, significantly increasing the risk of acute kidney injury;

[0004] Fragmented vital sign monitoring: Existing equipment (ECG monitors, ventilators, urinary catheterization systems, etc.) are mostly independent terminals, and data integration relies on manual transcription. Clinical statistics show that emergency department nurses spend an average of 18 minutes per case to summarize data, resulting in 8% of severely burned patients missing the golden treatment period due to information delays.

[0005] Nursing care grading is too rudimentary: Current grading standards (such as the ABA burn severity grading) are based solely on static parameters (TBSA, age, comorbidities) and do not incorporate dynamic indicators (such as shock index trends and changes in wound microcirculation). Studies have confirmed that traditional grading methods have a predictive accuracy of only 58% for MODS (Multiple Organ Dysfunction Syndrome) and a missed diagnosis rate of 41%.

[0006] Existing technologies have the following technical problems, and current information systems face significant technical bottlenecks in burn wound care:

[0007] Severe data silos exist: There is a lack of data interfaces between burn area scanners, infrared thermometers, and laboratory systems, making it impossible to achieve real-time correlation between wound images, biochemical indicators, and vital signs.

[0008] Lack of dynamic assessment: Existing electronic medical record systems only support fixed-point recording and lack the ability to dynamically model continuous parameters such as the shock index (SI = HR / SBP) and wound temperature change rate (ΔT / Δt). Studies have shown that burn patients with hourly SI fluctuations > 0.2 have a 3.2-fold increased mortality rate (P < 0.001).

[0009] Inefficient resource allocation: The distribution of emergency supplies (dressings, vasoactive drugs, etc.) and nursing staff relies on experience-based judgment. Statistics show that cases with treatment delays exceeding 15 minutes due to mismatched supplies account for 19%, and the mortality rate of severely burned patients increases by 2.3 times as a result.

[0010] Delayed infection warning: Traditional bacterial culture requires 48-72 hours, while wound infrared thermography can only detect surface temperature (error > 1℃). Clinical data shows that 67% of infection cases are only discovered when visible pus is present, at which point the colony count has exceeded 10^5 CFU / g, missing the optimal intervention window. Summary of the Invention

[0011] One objective of this invention is to provide a new technological solution for an information-based nursing grading assessment and early warning system for burn trauma patients.

[0012] According to a first aspect of the present invention, an information-based nursing triage assessment and early warning system for burn trauma patients is provided, comprising a pre-hospital subsystem, an in-hospital subsystem, and an Internet of Things (IoT) system;

[0013] The pre-hospital subsystem includes a multi-source data acquisition unit, which is used to input various information of burn trauma patients. The multi-source data acquisition unit includes a patient information input module, an injury severity input module, a pre-hospital nursing measures input module, and a vital signs input module.

[0014] The IoT system includes a communication module and an edge computing module. The communication module transmits multi-source data collected by the pre-hospital subsystem, while the edge computing module analyzes and processes the multi-source data transmitted by the communication module. First, the multi-source data is pre-processed to obtain processed data. Then, the processed data is used to generate a three-dimensional model of burn trauma. Furthermore, multi-source data from burn trauma patients is collected every half hour to update the three-dimensional burn trauma model and calculate the burn trauma area X. m Vital signs X t and wound temperature change rate X w ;

[0015] The in-hospital subsystem includes an in-hospital preparation unit, which is used to determine the burn wound area X. m Vital signs X t and wound temperature change rate X w Nursing preparation is carried out, and the in-hospital preparation module includes a nursing supplies module, nursing staff information, and an early warning module. The early warning module is based on the burn wound area X m Vital signs X t and wound temperature change rate X wThe calculated burn injury level is used for in-hospital early warning. The nursing supplies module is based on the burn injury area X... m Vital signs X t and wound temperature change rate X w Prepare supplies based on the calculated burn injury level, and assess the nursing level based on the availability of nursing supplies.

[0016] Preferably, the multi-source data acquisition unit includes a vital signs monitoring module, a body temperature detection module, and a wound assessment module. The body temperature detection module uses an infrared thermometer patch to detect the temperature gradient of the burn patient's body surface. The wound assessment module uses red and ultraviolet dual-spectrum scanning to scan the burn wound, calculate the total burn area, and identify the burn depth. The vital signs monitoring module obtains the shock index through dynamic pulse / blood pressure monitoring, obtains the respiratory rate through non-contact monitoring with mitral wave radar, obtains blood oxygen saturation through a reflective photoelectric sensor, obtains core temperature through tympanic membrane infrared thermometry, and obtains urine volume through an intelligent catheter.

[0017] Preferably, the burn wound area X m The burn area is calculated and obtained through the wound assessment module, and a burn area threshold is set. The burn area threshold and the burn area X are then used to calculate the burn area. m After comparison and processing, information on the degree of injury is obtained;

[0018] The threshold for the burn area is set as follows:

[0019] The total burn area is calculated to be less than 10%, which is considered a mild burn; between 11% and 30%, it is considered a moderate burn; between 31% and 50%, it is considered a severe burn; and more than 50% of the burn area, along with significant inhalation injury or combined injuries, is considered an extremely severe burn.

[0020] Preferably, the burn severity is calculated as follows:

[0021]

[0022] Where G represents the burn severity rating, X m Expressed as the total area of ​​burns, X t Represented as a vital signs dataset, f(X) t ) represents the level of vital signs, X w Represented as the temperature gradient at the body surface, g(X) w () indicates the level of temperature change rate;

[0023] f(X t The grading system is as follows:

[0024]

[0025] g(X w The grading system is as follows:

[0026]

[0027] Wherein, g(X) w The threshold values ​​for the rate of temperature change are -0.3℃ / h and 0.8℃ / h, respectively, and the level of the rate of temperature change is determined by the threshold values.

[0028] Preferably, the shock index in the vital signs monitoring module is: Respiratory rate (RR), blood oxygen saturation (SpO2), and core temperature (T) c Urine output was UO;

[0029]

[0030] The urine output score f(UO) is calculated as follows:

[0031]

[0032] The threshold for urine volume is 0.5 mL / h. The urine volume score is determined by comparing the hourly urine output with the threshold.

[0033] Preferably, the burn injury level value G is divided as follows:

[0034] The threshold for Grade I is set to 1≤G≤4, and the burn injury level is mild burn.

[0035] The threshold for Grade II is set at 5≤G≤7, and the burn injury level is moderate burn.

[0036] The threshold for Grade III is set at 8≤G≤10, and the burn injury grade is severe burns;

[0037] The threshold for Grade IV is set to G>10, and the burn injury grade is extremely severe burns;

[0038] The matching relationship between the corresponding nursing care level and the burn trauma level is as follows:

[0039] Grade I burns require routine nursing care, which includes wound disinfection and monitoring in a general ward.

[0040] Grade II burns require intensive care, which includes electrocardiographic monitoring and wound assessment three times a day.

[0041] Grade III burns require intensive care, which includes shock resuscitation, respiratory support, and hourly vital sign monitoring.

[0042] Grade IV burn trauma requires special care, including ECMO availability, multidisciplinary collaborative treatment, and real-time hemodynamic monitoring.

[0043] Preferably, the early warning module uses an audible and visual device, wherein the audible and visual device provides early warning based on the burn injury level in the following manner:

[0044] Warning level for minor burns: The light color is green, the light flashing frequency is continuous, and the sound intensity level is 45dB;

[0045] Warning level for moderate burns: The light color is yellow, the light flashing frequency is 1Hz, and the sound intensity level is 60dB.

[0046] Warning level for severe burns: The light color is orange, the light flashing frequency is 2Hz, and the sound intensity level is 75dB.

[0047] Warning level for extremely severe burns: The light color is red, the light flashing frequency is 3Hz, and the sound intensity level is 90dB.

[0048] Preferably, the pre-hospital nursing intervention input module is electrically connected to a nursing intervention dictionary module, which is used to select the type of nursing intervention when the pre-hospital nursing intervention input module inputs nursing interventions.

[0049] Preferably, the nursing supplies module is electrically connected to a package supplies detail module, which is electrically connected to a package maintenance module and a supplies dictionary module. The supplies dictionary module is used to input information about nursing supplies to facilitate the selection and configuration of supplies packages. The package maintenance module is used to record supplies maintenance. The package supplies detail module is used to select packages of supplies for the care of burn and trauma patients.

[0050] Preferably, the nursing staff information is electrically connected to a package staff details module, which is used to input the information of doctors and nurses treating burns and trauma.

[0051] The beneficial effects of this invention are:

[0052] This invention uses red and ultraviolet dual-spectrum imaging to replace manual estimation, improving the accuracy of wound area calculation and analysis. It also uses AI algorithms to automatically identify special areas, further improving the accuracy of burn area calculation in children. The processed data generates a three-dimensional model of the burn trauma, and multi-source data from burn trauma patients is collected every half hour to update the three-dimensional model and calculate the burn trauma area X. m Vital signs X t and wound temperature change rate X w And by measuring the area of ​​the burn wound Xm Vital signs X t and wound temperature change rate X w To enable the assessment of burn severity;

[0053] An innovative comprehensive scoring formula integrating burn area, shock index, and wound temperature change rate is used to calculate burn severity. The dynamic correction function significantly improves the sensitivity of the grading and enhances the accuracy of predicting multiple organ dysfunction syndrome.

[0054] An automatic material matching mechanism based on the graded results can automatically unlock the corresponding first aid kit with a short response time; it also matches the nursing care level according to the burn injury level, facilitating precise and rapid nursing care, and provides in-hospital early warning based on the burn injury level; that is, by combining pre-hospital testing and simple nursing care, it is easy to collect data and transmit it to the hospital, enabling the hospital to take timely nursing measures and respond quickly to achieve timely treatment for patients.

[0055] Other features and advantages of the invention will become clear from the following detailed description of exemplary embodiments of the invention with reference to the accompanying drawings. Attached Figure Description

[0056] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments of the invention and, together with their description, serve to explain the principles of the invention.

[0057] Figure 1 This is a schematic diagram of the structural framework of an information-based nursing grading assessment and early warning system for burn trauma patients. Detailed Implementation

[0058] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that, unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps set forth in these embodiments do not limit the scope of the invention.

[0059] The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit the invention or its application or use.

[0060] Techniques, methods, and equipment known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and equipment should be considered part of the specification.

[0061] In all the examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values.

[0062] like Figure 1 As shown, an information-based nursing care grading assessment and early warning system for burn trauma patients includes a pre-hospital subsystem, an in-hospital subsystem, and an Internet of Things (IoT) system.

[0063] The pre-hospital subsystem includes a multi-source data acquisition unit, which is used to input various information of burn trauma patients. The multi-source data acquisition unit includes a patient information input module, an injury severity input module, a pre-hospital nursing measures input module, and a vital signs input module.

[0064] The IoT system includes a communication module and an edge computing module. The communication module transmits multi-source data collected by the pre-hospital subsystem, while the edge computing module analyzes and processes the multi-source data transmitted by the communication module. First, the multi-source data is pre-processed to obtain processed data. Then, the processed data is used to generate a three-dimensional model of burn trauma. Furthermore, multi-source data from burn trauma patients is collected every half hour to update the three-dimensional burn trauma model and calculate the burn trauma area X. m Vital signs X t and wound temperature change rate X w ;

[0065] The in-hospital subsystem includes an in-hospital preparation unit, which is used to determine the burn wound area X. m Vital signs X t and wound temperature change rate X w Nursing preparation is carried out, and the in-hospital preparation module includes a nursing supplies module, nursing staff information, and an early warning module. The early warning module is based on the burn wound area X m Vital signs X t and wound temperature change rate X w The calculated burn injury level is used for in-hospital early warning. The nursing supplies module is based on the burn injury area X... m Vital signs X t and wound temperature change rate X w Prepare supplies based on the calculated burn injury level, and assess the nursing level based on the availability of nursing supplies.

[0066] In this embodiment, preferably, the multi-source data acquisition unit includes a vital signs monitoring module, a body temperature detection module, and a wound assessment module. The body temperature detection module uses an infrared body temperature patch to detect the temperature gradient of the burn patient's body surface. The wound assessment module uses red and ultraviolet dual spectra to scan the burn wound, calculate the total burn area, and identify the burn depth. The vital signs monitoring module obtains the shock index through dynamic pulse / blood pressure monitoring, obtains the respiratory rate through non-contact monitoring with mitral wave radar, obtains blood oxygen saturation through a reflective photoelectric sensor, obtains core temperature through tympanic membrane infrared thermometry, and obtains urine volume through an intelligent catheter.

[0067] It should be noted that various devices are used to measure the burn area X of burn patients. m Vital signs X t and wound temperature change rate X w The system performs detection, and scanning of burn wounds with red and ultraviolet dual spectra can improve the calculation of burn wound area. It can also obtain shock index through dynamic monitoring of pulse / blood pressure, obtain respiratory rate through non-contact monitoring with mitral wave radar, obtain blood oxygen saturation through reflective photoelectric sensor, obtain core temperature through tympanic membrane infrared thermometry, and obtain urine volume through intelligent catheterization, which facilitates the acquisition of data on various vital signs. Furthermore, it uses infrared body temperature patches to realize the gradient of body surface temperature changes in burn wound patients and obtain the patient's body surface temperature.

[0068] In this embodiment, preferably, the burn wound area X m The burn area is calculated and obtained through the wound assessment module, and a burn area threshold is set. The burn area threshold and the burn area X are then used to calculate the burn area. m After comparison and processing, information on the degree of injury is obtained;

[0069] The threshold for the burn area is set as follows:

[0070] Burns covering less than 10% of the body surface area are classified as mild burns; burns covering 11%-30% of the body surface area are classified as moderate burns; burns covering 31%-50% of the body surface area are classified as severe burns, including: ① severe general condition or shock; ② multiple injuries or poisoning; ③ moderate to severe inhalation injury; ④ burns to the head and face of infants exceeding 5% of the body surface area; burns covering more than 50% of the body surface area and involving severe inhalation injury or multiple injuries are classified as extremely severe burns.

[0071] It should be noted that the calculated burn area X is based on a burn area threshold. m By comparing the results, we can obtain information on the level of organization, which will facilitate subsequent calculations and processing.

[0072]

[0073]

[0074] Fluid replacement formula: (burn area * weight * 1.5 + 2000) / 2 = the amount of fluid required within 8 hours after injury.

[0075]

[0076]

[0077] In this embodiment, preferably, the burn severity is calculated as follows:

[0078]

[0079] Where G represents the burn severity rating, X m Expressed as the total area of ​​burns, X t Represented as a vital signs dataset, f(X) t ) represents the level of vital signs, X w Represented as the temperature gradient at the body surface, g(X) w () indicates the level of temperature change rate;

[0080] f(X t The grading system is as follows:

[0081]

[0082] g(X w The grading system is as follows:

[0083]

[0084] Wherein, g(X) w The threshold values ​​for the rate of temperature change are -0.3℃ / h and 0.8℃ / h, respectively, and the level of the rate of temperature change is determined by the threshold values.

[0085] It should be noted that the burn injury severity calculation model constructs a precise and dynamic assessment system by integrating multidimensional data from anatomy, physiology, and pathology, which significantly improves treatment efficiency and patient prognosis.

[0086] In this embodiment, preferably, the shock index in the vital signs monitoring module is: Respiratory rate (RR), blood oxygen saturation (SpO2), and core temperature (T) c Urine output was UO;

[0087]

[0088] The urine output score f(UO) is calculated as follows:

[0089]

[0090] The threshold for urine volume is 0.5 mL / h. The urine volume score is determined by comparing the hourly urine output with the threshold.

[0091] It should be noted that the calculation and processing of vital sign datasets for multiple parameters in vital sign detection, especially the urine output scoring mechanism based on a 0.5 mL / h threshold, significantly improves the dynamic monitoring capability of renal function in burn patients. Through precise quantification and intelligent linkage, early intervention and optimal resource allocation for acute kidney injury are achieved.

[0092] Optimization of fluid replacement protocol

[0093] Rating-Driven Fluid Replacement

[0094]

[0095]

[0096] In this embodiment, preferably, the burn injury level value G is divided as follows:

[0097] The threshold for Grade I is set to 1≤G≤4, and the burn injury level is mild burn.

[0098] The threshold for Grade II is set at 5≤G≤7, and the burn injury level is moderate burn.

[0099] The threshold for Grade III is set at 8≤G≤10, and the burn injury grade is severe burns;

[0100] The threshold for Grade IV is set to G>10, and the burn injury grade is extremely severe burns;

[0101] The matching relationship between the corresponding nursing care level and the burn trauma level is as follows:

[0102] Grade I burns require routine nursing care, which includes wound disinfection and general ward monitoring.

[0103] Grade II burns require intensive care, which includes electrocardiographic monitoring and wound assessment three times a day.

[0104] Grade III burns require intensive care, which includes shock resuscitation, respiratory support, and hourly vital sign monitoring.

[0105] Grade IV burn trauma requires special care, which includes ECMO availability, multidisciplinary collaborative treatment, and real-time hemodynamic monitoring.

[0106] It should be noted that the burn severity and nursing care grading matching scheme effectively improves treatment efficiency, resource utilization, quality control, and prognosis through three core mechanisms: precise stratification, dynamic response, and intelligent linkage.

[0107] Grading thresholds and clinical significance

[0108]

[0109]

[0110] Survival rate

[0111]

[0112]

[0113] In this embodiment, preferably, the early warning module uses an audible and visual device, wherein the audible and visual device provides early warning based on the burn injury level as follows:

[0114] Warning level for minor burns: The light color is green, the light flashing frequency is continuous, and the sound intensity level is 45dB;

[0115] Warning level for moderate burns: The light color is yellow, the light flashing frequency is 1Hz, and the sound intensity level is 60dB.

[0116] Warning level for severe burns: The light color is orange, the light flashing frequency is 2Hz, and the sound intensity level is 75dB.

[0117] Warning level for extremely severe burns: The light color is red, the light flashing frequency is 3Hz, and the sound intensity level is 90dB;

[0118] It should be noted that the audio-visual graded early warning system, through precise parameter mapping and multimodal collaboration, constructs a well-defined and rapidly responding burn treatment alarm system, significantly improving the efficiency and safety of clinical treatment.

[0119] Visual-auditory co-response

[0120] Color coding system

[0121]

[0122]

[0123] Sound intensity dynamic adaptation

[0124]

[0125] Flashing frequency optimizes neurocognitive enhancement

[0126]

[0127]

[0128] Multiple verification mechanisms

[0129] Accidental touch type Protective measures False alarm rate suppression effect Ambient light interference Adaptive light intensity adjustment (500-1500 lux) 92％↓ Accidental noise trigger Voiceprint recognition + duration threshold (>3 seconds) 85％↓ Equipment malfunction false alarm Dual sensor redundancy verification 99％↓

[0130] In this embodiment, preferably, the pre-hospital nursing intervention input module is electrically connected to a nursing intervention dictionary module, which is used to select the type of nursing intervention when the pre-hospital nursing intervention input module inputs nursing interventions;

[0131] It should be noted that the deep integration of the pre-hospital nursing measures dictionary module and the data entry module has built a standardized, intelligent, and traceable nursing data ecosystem, which significantly improves the quality and efficiency of burn treatment.

[0132] In this embodiment, preferably, the nursing supplies module is electrically connected to a package supplies detail module, and the package supplies detail module is electrically connected to a package maintenance module and a supplies dictionary module. The supplies dictionary module is used to input information about nursing supplies to facilitate the selection and configuration of supplies packages. The package maintenance module is used to record supplies maintenance. The package supplies detail module is used to select packages of supplies for the care of burn and trauma patients.

[0133] It should be noted that the material management system, through modular collaboration and intelligent algorithms, achieves precise, efficient, and traceable management of burn care materials, enabling accurate matching and emergency response through dynamic mapping between burn severity and material packages.

[0134] In this embodiment, preferably, the nursing staff information is electrically connected to a package staff details module, which is used to input the information of doctors and nurses for burn trauma.

[0135] It should be noted that the personnel management module achieves seamless data flow through electrical connection, constructing a standardized, intelligent, and traceable burn treatment team management system, which significantly improves the emergency response capabilities and medical quality of major burn incidents.

[0136] Burn severity - team mapping rules

[0137]

[0138] While specific embodiments of the invention have been described in detail by way of examples, those skilled in the art should understand that the examples are for illustrative purposes only and not intended to limit the scope of the invention. Those skilled in the art should understand that modifications can be made to the above embodiments without departing from the scope and spirit of the invention. The scope of the invention is defined by the appended claims.

Claims

1. An information-based nursing grading assessment and early warning system for burn trauma patients, characterized in that, include: Pre-hospital subsystem, in-hospital subsystem, and Internet of Things (IoT) system; The pre-hospital subsystem includes a multi-source data acquisition unit, which is used to input various information of burn trauma patients. The multi-source data acquisition unit includes a patient information input module, an injury severity input module, a pre-hospital nursing measures input module, and a vital signs input module. The IoT system includes a communication module and an edge computing module. The communication module transmits multi-source data collected by the pre-hospital subsystem, while the edge computing module analyzes and processes the multi-source data transmitted by the communication module. First, the multi-source data is pre-processed to obtain processed data. Then, the processed data is used to generate a three-dimensional model of burn trauma. Furthermore, multi-source data from burn trauma patients is collected every half hour to update the three-dimensional burn trauma model and calculate the burn trauma area. Vital signs and wound temperature change rate ; The in-hospital subsystem includes an in-hospital preparation unit, which is used to prepare patients based on the burn area. Vital signs and wound temperature change rate Nursing preparation is carried out, and the in-hospital preparation unit includes a nursing supplies module, nursing staff information, and an early warning module. The early warning module is based on the burn area. Vital signs and wound temperature change rate The calculated burn injury level triggers an in-hospital early warning system. The nursing supplies module is based on the burn injury area. Vital signs and wound temperature change rate Prepare supplies based on the calculated burn injury level, and assess the nursing level based on the availability of nursing supplies. The multi-source data acquisition unit includes a vital signs monitoring module, a body temperature detection module, and a wound assessment module. The body temperature detection module uses an infrared body temperature patch to detect the gradient of body surface temperature changes in burn patients. The wound assessment module uses red and ultraviolet dual-spectrum scanning to scan burn wounds, calculate the total burn area, and identify burn depth. The vital signs monitoring module obtains the shock index through dynamic pulse / blood pressure monitoring, obtains respiratory rate through non-contact monitoring with mitral wave radar, obtains blood oxygen saturation through a reflective photoelectric sensor, obtains core temperature through tympanic membrane infrared thermometry, and obtains urine volume through an intelligent urinary catheter. The burn severity level is calculated as follows: ， in, This is represented as a burn injury severity rating. This is expressed as the total area of ​​the burn wound. This is represented as a vital signs dataset. This is expressed as the level of vital signs. Represented as a gradient of body surface temperature changes. This is expressed as a level representing the rate of temperature change; The ranking of the grades is as follows: ； The ranking is as follows: ； wherein, the threshold values of the temperature change rate are and the level of the temperature change rate is determined by the threshold value.

2. The informationized nursing grading evaluation and early warning system for burn patients according to claim 1, characterized in that: The area of ​​burns The burn area is calculated and obtained through the wound assessment module, and a burn area threshold is set. The burn area threshold and the burn area are then compared. After comparison and processing, information on the degree of injury is obtained; The threshold for the burn area is set as follows: The total burn area is calculated as follows: less than 10% is considered a minor burn; 11%-30% is considered a moderate burn; 31%-50% is considered a severe burn; and more than 50% of the burn area, along with significant inhalation injury or combined injuries, is considered an extremely severe burn.

3. The information-based nursing grading assessment and early warning system for burn trauma patients according to claim 2, characterized in that: The shock index in the vital signs monitoring module is: Respiratory rate is Blood oxygen saturation was The core temperature is Urine volume is ; ， The score for urine output among them The calculation is as follows: ， The threshold for urine volume is 0.5 mL / h. The urine volume score is determined by comparing the hourly urine output with the threshold.

4. The informationized nursing grading evaluation and early warning system for burn patients of claim 3, characterized in that: The burn wound grade value is divided as follows: The threshold value of the first grade is set as , and the burn wound grade is mild burn; The threshold value of the second level is set as The burn wound is a moderate burn. The threshold value of the third level is set as The burn wound level is severe burn. The threshold for level IV is set to The burn injury was classified as extremely severe. The matching relationship between the corresponding nursing care level and the burn trauma level is as follows: Grade I burns require routine nursing care, which includes wound disinfection and monitoring in a general ward. Grade II burns require intensive care, which includes electrocardiographic monitoring and wound assessment three times a day. Grade III burn trauma requires intensive care, which includes shock resuscitation, respiratory support, and hourly monitoring of vital signs. Grade IV burn trauma requires special care, including ECMO availability, multidisciplinary collaborative treatment, and real-time hemodynamic monitoring.

5. The information-based nursing grading assessment and early warning system for burn trauma patients according to claim 1, characterized in that: The early warning module uses an audible and visual device, and the audible and visual device provides early warning based on the degree of burn injury as follows: Warning level for minor burns: The light color is green, the light flashing frequency is continuous, and the sound intensity level is 45dB; Warning level for moderate burns: The light color is yellow, the light flashing frequency is 1Hz, and the sound intensity level is 60dB. Warning level for severe burns: The light color is orange, the light flashing frequency is 2Hz, and the sound intensity level is 75dB. Warning level for extremely severe burns: The light color is red, the light flashing frequency is 3Hz, and the sound intensity level is 90dB.

6. The information-based nursing grading assessment and early warning system for burn trauma patients according to claim 1, characterized in that: The pre-hospital nursing intervention input module is electrically connected to a nursing intervention dictionary module, which is used to select the type of nursing intervention when the pre-hospital nursing intervention input module is used to input nursing interventions.

7. The information-based nursing grading assessment and early warning system for burn trauma patients according to claim 1, characterized in that: The nursing supplies module is electrically connected to a package supplies detail module, which in turn is electrically connected to a package maintenance module and a supplies dictionary module. The supplies dictionary module is used to input information about nursing supplies to facilitate the selection and configuration of supply packages. The package maintenance module is used to record supplies maintenance information. The package supplies detail module is used to select the package supplies for the care of burn and trauma patients.

8. The informationized nursing grading evaluation and early warning system for burn patients according to claim 1, characterized in that: The nursing staff information is electrically connected to a package staff details module, which is used to input information on doctors and nurses specializing in burns and trauma.

Images