Informatization nursing grading evaluation early warning system for burn and trauma patients

Abstract

The invention discloses an informatization nursing grading evaluation early warning system for burn and trauma patients. The informatization nursing grading evaluation early warning system comprises a pre-hospital subsystem, an in-hospital subsystem and an Internet of Things system. The pre-hospital subsystem comprises a multi-source data acquisition unit, and the multi-source data acquisition unit is used for inputting various information of a burn and trauma patient; the Internet of Things system comprises a communication module and an edge cloud computing module; the in-hospital subsystem comprises an in-hospital preparation unit, and the in-hospital preparation unit is used for carrying out nursing preparation according to the burn wound area Xm, the vital signs Xt and the wound surface temperature change rate Xw; according to the method, the burn wound grade is evaluated through the burn wound area Xm, the vital signs Xt and the wound surface temperature change rate Xw; the burn and wound grade is calculated by innovatively fusing a comprehensive scoring formula of a burn area, a shock index and a wound surface temperature change rate; an automatic material matching mechanism is realized based on a grading result, and a corresponding first-aid kit can be automatically unlocked.

Description

Technical Field

[0001] The present invention relates to an assessment and early warning system applicable to burn trauma, and more particularly, to an information-based nursing graded assessment and early warning system for burn trauma patients. Background Art

[0002] Burn trauma (including burns and combined trauma) is an acute injury with high mortality and disability rates. Its treatment involves multidisciplinary collaboration and complex clinical decision-making. In current clinical practice, the patient admission and care process faces the following challenges:

[0003] Delayed injury assessment: Traditional burn area estimation relies on manual methods such as the "rule of nines" or the "palm method," which can result in errors of up to 15%-20%. This error is exacerbated in children and obese individuals. A multicenter study showed that misjudgment of burn area can lead to errors in fluid administration exceeding 30%, significantly increasing the risk of acute kidney injury.

[0004] Fragmented vital sign monitoring: Existing equipment (such as ECG monitors, ventilators, and urinary catheter systems) is mostly standalone, requiring manual transcription for data integration. Clinical statistics show that emergency department nurses spend an average of 18 minutes per case compiling data, resulting in 8% of severely burned patients missing the prime treatment window due to information delays.

[0005] Extensive nursing grading: Current grading standards (such as the ABA burn severity scale) are based solely on static parameters (TBSA, age, and comorbidities) and fail to incorporate dynamic indicators (such as shock index trends and changes in wound microcirculation). Studies have confirmed that traditional grading methods have a predictive accuracy rate of only 58% for MODS (multiple organ dysfunction syndrome), with a missed diagnosis rate of 41%.

[0006] Existing technologies have the following technical problems, and the current information system has significant technical bottlenecks in burn and trauma care:

[0007] Serious data silos: There is a lack of data interfaces between burn area scanners, infrared temperature measurement equipment, 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 recording at fixed time points and lack the ability to dynamically model continuous parameters such as the shock index (SI = HR / SBP) and the rate of change of wound temperature (ΔT / Δt). Studies have shown that burn patients with an SI fluctuation greater than 0.2 per hour have a 3.2-fold increased mortality rate (P < 0.001).

[0009] Inefficient resource allocation: The allocation of emergency supplies (dressings, vasoactive drugs, etc.) and nursing staff relies on empirical judgment. Statistics show that treatment delays exceeding 15 minutes due to mismatched supplies account for 19% of cases, increasing the mortality rate of patients with extremely severe burns by 2.3 times.

[0010] Infection warning lags: Traditional bacterial culture takes 48-72 hours, while infrared temperature measurement of wound surfaces can only detect surface temperature (with an error of >1°C). Clinical data shows that 67% of infections are not discovered until pus is visible, at which point the colony count exceeds 10^5 CFU / g, missing the optimal intervention window. Summary of the Invention

[0011] One object of the present invention is to provide a new technical solution for an information-based nursing graded assessment and early warning system for burn and trauma patients.

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

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

[0014] The Internet of Things system includes a communication module and an edge cloud computing module. The communication module is used to transmit the multi-source data collected by the pre-hospital subsystem, and the edge cloud computing module is used to analyze and process the multi-source data transmitted by the communication module, first pre-process the multi-source data, obtain the processed data, and then generate a three-dimensional model of the burn wound from the processed data. In addition, the multi-source data of the burn wound patient is collected every half an hour, the burn wound three-dimensional model is updated, and the burn wound area X is calculated. m , Vital Signs X t and wound surface temperature change rate X w ;

[0015] The in-hospital subsystem includes an in-hospital preparation unit, which is used to m , Vital Signs X t and wound surface temperature change rate X w Nursing preparation is carried out. The hospital preparation module includes a nursing material module, a nursing staff information module and an early warning module. The early warning module is based on the burn wound area X m , Vital Signs X t and wound surface temperature change rate X wThe calculated burn injury level is used for hospital warning. The nursing material module is used according to the burn injury area X m , Vital Signs X t and wound surface temperature change rate X w Materials are prepared based on the calculated burn and trauma grade, and the nursing grade is assessed based on the prepared nursing materials.

[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 realizes the surface temperature change gradient of the burn patient through an infrared body temperature patch. The wound assessment module scans the burn wound through the red and ultraviolet dual spectrum, calculates the total burn area and identifies the burn depth of the burn wound. The vital signs monitoring module obtains the shock index through dynamic monitoring of pulse / blood pressure, obtains the respiratory rate through non-contact monitoring of room-wave radar, obtains blood oxygen saturation through a reflective photoelectric sensor, obtains core temperature through infrared temperature measurement of the eardrum, and obtains urine volume through an intelligent catheter.

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

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

[0019] If the total burn area is less than 10%, it is a mild burn; when the total burn area is between 11%-30%, it is a moderate burn; when the total burn area is between 31%-50%, it is a severe burn; when the total burn area is more than 50% and there are severe inhalation injuries and complex injuries, it is an extremely severe burn.

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

[0021]

[0022] Among them, G represents the burn injury grade value, X m Expressed as the total burn area, X t Represented as a vital signs dataset, f(X t ) is expressed as the level of vital signs, X w Expressed as the gradient of body surface temperature change, g(X w ) is expressed as the level of temperature change rate;

[0023] f(X t ) are divided into the following levels:

[0024]

[0025] g(X w ) are divided into the following levels:

[0026]

[0027] Among them, g(X w )'s temperature change rate thresholds are -0.3°C / h and 0.8°C / h respectively, and the level of the temperature change rate is determined by the thresholds.

[0028] Preferably, the shock index in the vital signs monitoring module is Respiratory rate is RR, blood oxygen saturation is SpO2, and core temperature is T c , urine volume is UO;

[0029]

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

[0031]

[0032] The urine volume threshold is 0.5 mL / h, and the urine volume score is determined by comparing the urine volume discharged per hour with the threshold.

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

[0034] The threshold for level I was set at 1≤G≤4, and the burn trauma grade was mild burn;

[0035] The threshold for grade II was set at 5≤G≤7, and the burn trauma grade was moderate burn;

[0036] The threshold for grade III was set at 8≤G≤10, and the burn trauma grade was severe burn;

[0037] The threshold for grade IV was set at G>10, and the burn trauma grade was extremely severe burn;

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

[0039] Grade I burn trauma is treated with routine care, which includes wound disinfection and general ward monitoring.

[0040] Grade II burn wounds receive intensive care, which includes ECG monitoring and wound assessment three times a day;

[0041] Grade III burn trauma requires intensive care, which includes shock resuscitation, respiratory support, and hourly vital sign monitoring;

[0042] Grade IV burn trauma requires intensive care, which includes ECMO backup, multidisciplinary joint treatment, and real-time hemodynamic monitoring.

[0043] Preferably, the warning module adopts an acousto-optic device, wherein the mode of the acousto-optic device to issue a warning according to the burn injury grade is as follows:

[0044] Warning level: mild burn warning: the light color is green, the light flashes continuously, 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: severe burn warning: the light color is orange, the light flashing frequency is 2Hz, and the sound intensity level is 75dB;

[0047] The warning level is 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 measure entry module is electrically connected to a nursing measure dictionary module, and the nursing measure dictionary module is used to select the type of nursing measure when the pre-hospital nursing measure entry module enters nursing measures.

[0049] 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 enter information about nursing supplies to facilitate selection and configuration of supply packages. The package maintenance module is used to record supply maintenance. The package supplies detail module is used to select package supplies for rescuing burn and trauma patients.

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

[0051] Beneficial effects of the present invention:

[0052] The present invention uses red and ultraviolet dual spectrum to replace manual estimation, improves the accuracy of wound area calculation and analysis, and automatically identifies special parts through AI algorithm to improve the accuracy of children's burn area calculation. The processed data is used to generate a three-dimensional model of the burn wound. Multi-source data of burn patients are collected every half an hour to update the three-dimensional model of the burn wound and calculate the burn wound area X. m , Vital Signs X t and wound surface temperature change rate X w , and by the burn wound area Xm , Vital Signs X t and wound surface temperature change rate X w Achieve the assessment of burn trauma grade;

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

[0054] An automatic material matching mechanism is implemented based on the grading results, which can automatically unlock the corresponding first aid kit with a short response time; and the nursing level is matched according to the burn trauma level, which facilitates accurate and rapid nursing, as well as in-hospital early warning according to the burn trauma level; that is, by combining pre-hospital testing and simple nursing, it is convenient to collect data and transmit it to the hospital, so that the hospital can take timely nursing measures, even if the hospital can respond quickly, to achieve timely treatment of patients.

[0055] Further features and advantages of the present invention will become apparent from the following detailed description of exemplary embodiments of the present invention with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and, together with the 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 graded assessment and early warning system for burn and trauma patients. DETAILED DESCRIPTION

[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 of components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention.

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

[0060] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered part of the specification.

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

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

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

[0064] The Internet of Things system includes a communication module and an edge cloud computing module. The communication module is used to transmit the multi-source data collected by the pre-hospital subsystem, and the edge cloud computing module is used to analyze and process the multi-source data transmitted by the communication module, first pre-process the multi-source data, obtain the processed data, and then generate a three-dimensional model of the burn wound from the processed data. In addition, the multi-source data of the burn wound patient is collected every half an hour, the burn wound three-dimensional model is updated, and the burn wound area X is calculated. m , Vital Signs X t and wound surface temperature change rate X w ;

[0065] The in-hospital subsystem includes an in-hospital preparation unit, which is used to m , Vital Signs X t and wound surface temperature change rate X w Nursing preparation is carried out. The hospital preparation module includes a nursing material module, a nursing staff information module and an early warning module. The early warning module is based on the burn wound area X m , Vital Signs X t and wound surface temperature change rate X w The calculated burn injury level is used for hospital warning. The nursing material module is used according to the burn injury area X m , Vital Signs X t and wound surface temperature change rate X w Materials are prepared based on the calculated burn and trauma grade, and the nursing grade is assessed based on the prepared nursing materials.

[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 measure the surface temperature gradient of the burn patient. The wound assessment module scans the burn wound using an infrared and ultraviolet dual spectrum to calculate the total burn area and identify the burn depth. The vital signs monitoring module obtains shock index through dynamic pulse / blood pressure monitoring, obtains respiratory rate through non-contact monitoring using a room-wave radar, obtains blood oxygen saturation through a reflective photoelectric sensor, obtains core temperature through infrared temperature measurement of the eardrum, and obtains urine volume through an intelligent urinary catheter.

[0067] It should be noted that various devices can be used to treat the burn area of patients with burns m , Vital Signs X t and wound surface temperature change rate X w The detection can be carried out, and the red and ultraviolet dual spectrum scanning of the burn wound can improve the calculation of the area of the burn wound, and the pulse / blood pressure dynamic monitoring can be used to obtain the shock index, the respiratory rate can be obtained through non-contact monitoring of the room-wave radar, the blood oxygen saturation can be obtained through the reflective photoelectric sensor, the core temperature can be obtained through the infrared temperature measurement of the eardrum, and the urine volume can be obtained through the intelligent urinary catheter, which is convenient for obtaining data on various vital signs. In addition, the surface temperature gradient of the burn patient can be realized through the infrared body temperature patch to 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 by the wound surface assessment module, and a burn area threshold is set. The burn area threshold and the burn area X are used to calculate the burn area. m After comparative processing, information on the extent of injury is obtained;

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

[0070] A total burn area of less than 10% is considered mild; a total burn area of 11%-30% is considered moderate; a total burn area of 31%-50% is considered severe, including: ① severe general condition or shock; ② combined injuries or poisoning; ③ moderate to severe inhalation injury; ④ burns exceeding 5% of the head and face in infants; and extremely severe burns when the total burn area exceeds 50% and there are severe inhalation injuries or combined injuries.

[0071] It should be noted that the burn area X is calculated based on the burn area threshold. m Compare and obtain information on the degree of sorting, so as to facilitate subsequent calculation and processing;

[0072]

[0073]

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

[0075]

[0076]

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

[0078]

[0079] Among them, G represents the burn injury grade value, X m Expressed as the total burn area, X t Represented as a vital signs dataset, f(X t ) is expressed as the level of vital signs, X w Expressed as the gradient of body surface temperature change, g(X w ) is expressed as the level of temperature change rate;

[0080] f(X t ) are divided into the following levels:

[0081]

[0082] g(X w ) are divided into the following levels:

[0083]

[0084] Among them, g(X w ) The threshold values of the temperature change rate are -0.3°C / h and 0.8°C / h respectively, and the level of the temperature change rate is determined by the threshold values;

[0085] It should be noted that the burn trauma grade calculation model constructs an accurate and dynamic evaluation system through the fusion of anatomical, physiological and pathological multi-dimensional data, which significantly improves the treatment efficiency and patient prognosis.

[0086] In this embodiment, preferably, the shock index in the vital signs monitoring module is Respiratory rate is RR, blood oxygen saturation is SpO2, and core temperature is T c , urine volume is UO;

[0087]

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

[0089]

[0090] The urine volume threshold is 0.5 mL / h, and the urine volume score is determined by comparing the urine volume discharged per hour with the threshold;

[0091] It should be noted that the calculation and processing of vital signs data sets based on multiple parameters in vital signs detection, especially the urine volume scoring mechanism based on a threshold of 0.5 mL / h, has significantly improved 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 have been achieved.

[0092] Optimization of fluid replacement regimen

[0093] Score-driven rehydration

[0094]

[0095]

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

[0097] The threshold for level I was set at 1≤G≤4, and the burn trauma grade was mild burn;

[0098] The threshold for grade II was set at 5≤G≤7, and the burn trauma grade was moderate burn;

[0099] The threshold for grade III was set at 8≤G≤10, and the burn trauma grade was severe burn;

[0100] The threshold for grade IV was set at G>10, and the burn trauma grade was extremely severe burn;

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

[0102] Grade I burn injuries receive routine care, which includes wound disinfection and general ward monitoring.

[0103] Grade II burn wounds receive intensive care, which includes ECG monitoring and wound assessment three times a day;

[0104] Grade III burn trauma requires intensive care, which includes shock resuscitation, respiratory support, and hourly vital sign monitoring;

[0105] Grade IV burn trauma requires intensive care, including ECMO backup, multidisciplinary treatment, and real-time hemodynamic monitoring;

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

[0107] Grading threshold and clinical significance

[0108]

[0109]

[0110] Survival rate

[0111]

[0112]

[0113] In this embodiment, preferably, the warning module adopts an acousto-optic device, wherein the mode of the acousto-optic device to provide a warning according to the burn injury level is as follows:

[0114] Warning level: mild burn warning: the light color is green, the light flashes continuously, 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: severe burn warning: the light color is orange, the light flashing frequency is 2Hz, and the sound intensity level is 75dB;

[0117] Warning level: extremely severe burn warning: the light color is red, the light flashes at a frequency of 3Hz, and the sound intensity level is 90dB;

[0118] It should be noted that the sound and light graded warning system has built a hierarchical and responsive burn treatment alarm system through precise parameter mapping and multimodal collaboration, significantly improving clinical treatment efficiency and safety.

[0119] Visual-auditory co-response

[0120] Color coding system

[0121]

[0122]

[0123] Dynamic adaptation of sound intensity

[0124]

[0125] Flicker frequency optimization for neurocognitive enhancement

[0126]

[0127]

[0128] Multiple verification mechanisms

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

[0130] In this embodiment, preferably, the pre-hospital nursing measure entry module is electrically connected to a nursing measure dictionary module, and the nursing measure dictionary module is used to select the type of nursing measure when the pre-hospital nursing measure entry module enters the nursing measure;

[0131] It should be noted that the deep integration of the pre-hospital nursing measures dictionary module and the input module has built a standardized, intelligent, and traceable nursing data ecosystem, significantly improving 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 enter information about nursing supplies to facilitate the selection and configuration of supply packages. The package maintenance module is used to record supply maintenance. The package supplies detail module is used to select package supplies for rescuing burn and trauma patients.

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

[0134] In this embodiment, preferably, the nursing staff information is electrically connected to a package personnel details module, and the package personnel details module is used to enter the information of doctors and nurses treating burns and trauma;

[0135] It should be noted that the personnel management module achieves seamless data flow through electrical connections, building a standardized, intelligent, and traceable burn treatment team management system, significantly improving emergency response capabilities and medical quality for major burn incidents;

[0136] Burn Level-Team Mapping Rules

[0137]

[0138] Although some specific embodiments of the present invention have been described in detail by way of examples, it should be understood by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the present invention. It should be understood by those skilled in the art that modifications may be made to the above embodiments without departing from the scope and spirit of the present invention. The scope of the present invention is defined by the appended claims.

Claims

1. An information-based nursing graded assessment and early warning system for burn and trauma patients, characterized by: Pre-hospital subsystem, in-hospital subsystem and Internet of Things system; The pre-hospital subsystem includes a multi-source data acquisition unit, which is used to input various information of burn and trauma patients. The multi-source data acquisition unit includes a patient information input module, an injury degree input module, a pre-hospital nursing measure input module, and a vital sign input module; The Internet of Things system includes a communication module and an edge cloud computing module. The communication module is used to transmit the multi-source data collected by the pre-hospital subsystem, and the edge cloud computing module is used to analyze and process the multi-source data transmitted by the communication module, first pre-process the multi-source data, obtain the processed data, and then generate a three-dimensional model of the burn wound from the processed data. In addition, the multi-source data of the burn wound patient is collected every half an hour, the burn wound three-dimensional model is updated, and the burn wound area X is calculated. m , Vital Signs X t and wound surface temperature change rate X w ; The in-hospital subsystem includes an in-hospital preparation unit, which is used to m , Vital Signs X t and wound surface temperature change rate X w Nursing preparation is carried out. The hospital preparation module includes a nursing material module, a nursing staff information module and an early warning module. The early warning module is based on the burn wound area X m , Vital Signs X t and wound surface temperature change rate X w The calculated burn injury level is used for hospital warning. The nursing material module is used according to the burn injury area X m , Vital Signs X t and wound surface temperature change rate X w Materials are prepared based on the calculated burn and trauma grade, and the nursing grade is assessed based on the prepared nursing materials.

2. The information-based nursing graded assessment and early warning system for burn and trauma patients according to claim 1 is characterized by: 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 realize the surface temperature change gradient of the burn patient. The wound assessment module scans the burn wound through the red and ultraviolet dual spectrum, calculates the total burn area and identifies the burn depth of the burn wound. The vital signs monitoring module obtains the shock index through dynamic pulse / blood pressure monitoring, obtains the respiratory rate through non-contact monitoring of room-wave radar, obtains the blood oxygen saturation through a reflective photoelectric sensor, obtains the core temperature through infrared temperature measurement of the eardrum, and obtains the urine volume through an intelligent catheter.

3. The information-based nursing graded assessment and early warning system for burn and trauma patients according to claim 2 is characterized by: The burn wound area X m The burn area is calculated and obtained by the wound surface assessment module, and a burn area threshold is set. The burn area threshold and the burn area X are used to calculate the burn area. m After comparative processing, information on the extent of injury is obtained; The burn wound area threshold is set as follows: If the total burn area is less than 10%, it is a mild burn; when the total burn area is between 11%-30%, it is a moderate burn; when the total burn area is between 31%-50%, it is a severe burn; when the total burn area is more than 50% and there are severe inhalation injuries and complex injuries, it is an extremely severe burn.

4. The information-based nursing graded assessment and early warning system for burn and trauma patients according to claim 3 is characterized by: The burn injury grade is calculated as follows: Among them, G represents the burn injury grade value, X m Expressed as the total burn area, X t Represented as a vital signs dataset, f(X t ) is expressed as the level of vital signs, X w Expressed as the gradient of body surface temperature change, g(X w ) is expressed as the level of temperature change rate; f(X t ) are divided into the following levels: g(X w ) are divided into the following levels: Among them, g(X w )'s temperature change rate thresholds are -0.3°C / h and 0.8°C / h respectively, and the level of the temperature change rate is determined by the thresholds.

5. The information-based nursing graded assessment and early warning system for burn and trauma patients according to claim 4 is characterized by: The shock index in the vital signs monitoring module is Respiratory rate is RR, blood oxygen saturation is SpO2, and core temperature is T c , urine volume is UO; The urine output score f(UO) is calculated as follows: The urine volume threshold is 0.5 mL / h, and the urine volume score is determined by comparing the urine volume discharged per hour with the threshold.

6. The information-based nursing graded assessment and early warning system for burn and trauma patients according to claim 5 is characterized by: The burn injury grade value G is divided as follows: The threshold for level I was set at 1≤G≤4, and the burn trauma grade was mild burn; The threshold for grade II was set at 5≤G≤7, and the burn trauma grade was moderate burn; The threshold for grade III was set at 8≤G≤10, and the burn trauma grade was severe burn; The threshold for grade IV was set at G>10, and the burn trauma grade was extremely severe burn; The matching relationship between the corresponding nursing level and burn trauma level is as follows: Grade I burn trauma is treated with routine care, which includes wound disinfection and general ward monitoring. Grade II burn wounds receive intensive care, which includes ECG monitoring and wound assessment three times a day; Grade III burn trauma requires intensive care, which includes shock resuscitation, respiratory support, and hourly vital sign monitoring; Grade IV burn trauma requires intensive care, which includes ECMO backup, multidisciplinary joint treatment, and real-time hemodynamic monitoring.

7. The information-based nursing graded assessment and early warning system for burn and trauma patients according to claim 1 is characterized by: The warning module uses an acoustic and optical device, wherein the mode of the acoustic and optical device for warning according to the burn injury level is as follows: Warning level: mild burn warning: the light color is green, the light flashes continuously, 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: severe burn warning: the light color is orange, the light flashing frequency is 2Hz, and the sound intensity level is 75dB; The warning level is for extremely severe burns: the light color is red, the light flashing frequency is 3Hz, and the sound intensity level is 90dB.

8. The information-based nursing graded assessment and early warning system for burn and trauma patients according to claim 1 is characterized by: The pre-hospital nursing measure entry module is electrically connected to a nursing measure dictionary module, and the nursing measure dictionary module is used to select the type of nursing measure when the pre-hospital nursing measure entry module enters nursing measures.

9. The information-based nursing graded assessment and early warning system for burn and trauma patients according to claim 1 is characterized by: 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 enter information about nursing supplies to facilitate selection and configuration of supply packages. The package maintenance module is used to record supply maintenance. The package supplies detail module is used to select package supplies for rescuing burn and trauma patients.

10. The information-based nursing graded assessment and early warning system for burn and trauma patients according to claim 1 is characterized by: The nursing staff information is electrically connected to a package personnel details module, and the package personnel details module is used to enter the information of doctors and nurses for burn injuries.

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