A multi-dimensional early warning method, system, electronic device, and medium for pressure injury

Abstract

The present invention discloses a multi-dimensional early warning method, system, electronic device and medium for pressure injury, including: obtaining temperature, humidity and pressure data sets; calculating a temperature monitoring index according to the temperature data set and a standard temperature value; calculating a humidity monitoring index according to the humidity data set and a standard humidity value; calculating a pressure monitoring index according to the pressure data set and a standard pressure duration; judging whether to trigger temperature, humidity and pressure duration abnormal instructions respectively based on the temperature, humidity and pressure monitoring indexes; obtaining an average temperature according to the temperature data set, obtaining an average humidity according to the humidity data set, and obtaining an average pressure according to the pressure data set; calculating a first difference between the average temperature and the standard temperature value, a second difference between the average humidity and the standard humidity value, and a third difference between the average pressure and the maximum pressure value; taking a weighted average of the first, second and third differences to obtain a risk index; setting a risk threshold, and triggering an early warning signal when the risk index exceeds the risk threshold.

Description

Technical Field

[0001] The present invention relates to the field of medical care technology, and in particular to a multi-dimensional early warning method, system, electronic equipment, and medium for pressure injury. Background Art

[0002] Pressure injury (PI) is a local tissue damage and necrosis caused by blood circulation disorders, local tissue continuous ischemia, hypoxia, and lack of nutrition. The causes include: mechanical factors, local moisture or excrement stimulation, nutritional status, age, sensory or movement disorders, etc. When part of the body is subjected to continuous vertical pressure, friction and shear force, or the skin microenvironment (temperature, moisture, pH), it will limit the blood flow in the area, resulting in tissue hypoxia and nutrition, and may eventually lead to tissue necrosis. Elderly people, hemiplegic patients, spinal cord injury patients, etc. need to stay in bed for a long time. Due to blood circulation disorders, decreased perception, etc., local tissues are very likely to suffer from pressure injuries when they are compressed. The bone protuberances of patients are the most common sites of pressure injuries. Studies have found that most PIs can be avoided. Compared with the cost of treatment, the cost of preventing PI is much lower. The prevention and treatment strategy of PI is prevention-oriented. The key to preventing PI is to identify risk patients early. At present, the early warning of PI risk mainly relies on the subjective judgment of clinical medical staff on the visual and tactile surface of the skin. The lag in changes in the skin surface makes it difficult to detect PI with the naked eye in the early stage. Moreover, subjective judgment can only accurately identify 20% to 40% of the surface tissue damage, which is a defect. At present, the risk assessment results of the traditional pressure injury early warning system are not accurate enough, lack continuous monitoring of the patient's skin condition, and cannot timely, effectively and comprehensively assess the patient's injury risk. The nursing record has a high defect rate and cannot ensure that preventive measures are effectively implemented, thereby reducing the efficiency of patient disease recovery. Summary of the invention

[0003] In view of the prior art, the present invention provides a multi-dimensional early warning method, system, electronic equipment, and medium for pressure injury.

[0004] In a first aspect, an embodiment of the present invention provides a multi-dimensional early warning method for pressure injury, the method comprising the following steps:

[0005] Acquire a patient skin temperature dataset, a patient skin humidity dataset, and a patient skin pressure dataset;

[0006] The temperature monitoring index is calculated based on the patient's skin temperature data set and the standard temperature value; the humidity monitoring index is calculated based on the patient's skin humidity data set and the standard humidity value; the pressure monitoring index is calculated based on the patient's skin pressure data set and the standard pressure duration;

[0007] Based on the temperature monitoring index, humidity monitoring index, and pressure monitoring index, determine whether to trigger a patient temperature abnormality signal, a patient humidity abnormality signal, or a patient pressure duration abnormality instruction;

[0008] Obtaining the average skin temperature of the patient according to the patient skin temperature data set, obtaining the average skin humidity of the patient according to the patient skin humidity data set, and obtaining the average skin pressure of the patient according to the patient skin pressure data set; calculating a first difference between the average skin temperature of the patient and a standard temperature value, a second difference between the average skin humidity of the patient and a standard humidity value, and a third difference between the average skin pressure of the patient and a maximum skin pressure value; performing weighted average of the first difference, the second difference, and the third difference to obtain a risk index;

[0009] Set a risk threshold. When the risk index exceeds the risk threshold, a warning signal is triggered.

[0010] In a second aspect, an embodiment of the present invention provides a multi-dimensional early warning system for pressure injuries, which is used to implement the multi-dimensional early warning method for pressure injuries described above, and the system includes:

[0011] A sensing acquisition module, used to obtain a patient skin temperature data set, a patient skin humidity data set, and a patient skin pressure data set;

[0012] The sensing evaluation unit is used to calculate the temperature monitoring index according to the patient's skin temperature data set and the standard temperature value; calculate the humidity monitoring index according to the patient's skin humidity data set and the standard humidity value; calculate the pressure monitoring index according to the patient's skin pressure data set and the standard pressure duration; based on the temperature monitoring index, humidity monitoring index, and pressure monitoring index, respectively determine whether to trigger a patient temperature abnormality signal, a patient humidity abnormality signal, and a patient pressure duration abnormality instruction;

[0013] The risk assessment unit is used to obtain the average skin temperature of the patient according to the patient's skin temperature data set, obtain the average skin humidity of the patient according to the patient's skin humidity data set, and obtain the average skin pressure of the patient according to the patient's skin pressure data set; calculate the first difference between the average skin temperature of the patient and the standard temperature value, the second difference between the average skin humidity of the patient and the standard humidity value, and the third difference between the average skin pressure of the patient and the maximum skin pressure value; perform weighted average of the first difference, the second difference, and the third difference to obtain a risk index; set a risk threshold, and when the risk index exceeds the risk threshold, trigger a warning signal.

[0014] In a third aspect, an embodiment of the present invention provides an electronic device, comprising a memory and a processor, wherein the memory is coupled to the processor; wherein the memory is used to store program data, and the processor is used to execute the program data to implement the above-mentioned multi-dimensional early warning method for pressure injuries.

[0015] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned multi-dimensional early warning method for pressure injuries.

[0016] In a fifth aspect, an embodiment of the present invention provides a computer program product, including a computer program / instruction, which implements the above-mentioned multi-dimensional early warning method for pressure injuries when executed by a processor.

[0017] Compared with the prior art, the present invention has the following beneficial effects:

[0018] The present invention provides a multi-dimensional early warning method for pressure injury. The present invention calculates a temperature monitoring index based on a patient's skin temperature data set and a standard temperature value; calculates a humidity monitoring index based on a patient's skin humidity data set and a standard humidity value; calculates a pressure monitoring index based on a patient's skin pressure data set and a standard pressure duration; and timely and effectively discovers whether the patient's skin has abnormal temperature, humidity or pressure based on the temperature monitoring index, humidity monitoring index and pressure monitoring index. In view of the long-term static pressure on the patient's skin, the present invention comprehensively evaluates the risk index of pressure injury or aggravation of pressure injury by calculating the risk index.

[0019] The method of the present invention has the advantages of high accuracy in continuous monitoring risk assessment, effective prevention, nursing and high efficiency in cure, etc. It solves the problem of low accuracy in multi-dimensional early warning risk assessment of pressure injuries and the inability to continuously monitor, prevent and cure with low efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The above and other features, advantages and aspects of the embodiments of the present invention will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. The accompanying drawings are used to better understand the present invention and do not constitute a limitation of the present invention. In the accompanying drawings, the same or similar reference numerals represent the same or similar elements, wherein:

[0021] Figure 1 A flowchart of a multi-dimensional early warning method for pressure injury according to an embodiment of the present invention is shown;

[0022] Figure 2 A schematic structural diagram of a multi-dimensional early warning system for pressure injuries according to an embodiment of the present invention is shown;

[0023] Figure 3 A block diagram of an exemplary electronic device capable of implementing embodiments of the present invention is shown. DETAILED DESCRIPTION

[0024] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0025] It should be noted that, in the absence of conflict, the features in the following embodiments and implementations may be combined with each other.

[0026] like Figure 1 As shown, an embodiment of the present invention provides a multi-dimensional early warning method for pressure injury, the method comprising the following steps:

[0027] Step S1, obtaining a patient skin temperature dataset, a patient skin humidity dataset, and a patient skin pressure dataset.

[0028] Specifically, in this example, the patient's skin temperature is detected in real time by a temperature sensor to obtain a patient's skin temperature data set, which is recorded as , n is the number of detections; the patient's skin humidity data is detected in real time by the humidity sensor, and the patient's skin humidity data set is obtained, which is recorded as ; The patient's skin pressure is detected in real time by the pressure sensor, and the patient's skin pressure data set is obtained, which is recorded as .

[0029] It should be noted that both high and low skin temperatures will aggravate ischemia and hypoxia of skin tissue and delay tissue repair. For patients who are bedridden or use wheelchairs for a long time, they should maintain an appropriate skin temperature to avoid overheating or overcooling to prevent the occurrence of pressure injuries.

[0030] High skin humidity will increase the risk of skin infection and aggravate tissue edema. Low humidity will increase skin dryness and itching and aggravate tissue dehydration. For patients who are bedridden or use wheelchairs for a long time, appropriate skin humidity should be maintained to avoid excessive dryness or humidity and prevent the occurrence of pressure injuries.

[0031] If the pressure sensor is provided with a 4*4 row sensor array, The corresponding sensor pressure value is the first row and first column. The corresponding sensor pressure value is in row 1 and column 2. The corresponding sensor pressure value is in row 1 and column 3. The corresponding sensor pressure value is in row 1 and column 4. The corresponding sensor pressure value is the first column of the second row. Similarly, long-term static pressure will lead to degeneration and necrosis of tissue cells, increasing the severity of pressure injury. Excessive dynamic pressure or prolonged duration will also lead to blood vessel rupture and aggravate tissue ischemia and hypoxia. Patients who are bedridden or use wheelchairs for a long time should avoid maintaining the same posture for a long time and change their body position regularly to prevent the occurrence of pressure injury.

[0032] For patients who have already suffered pressure injuries, targeted temperature management measures should be taken according to the degree of injury to assist in injury recovery in a timely and effective manner. At the same time, it is also necessary to closely monitor the patient's pressure changes, adjust the pressure management plan in a timely manner, and assist in injury recovery in a timely and effective manner.

[0033] Step S2, calculate the temperature monitoring index according to the patient's skin temperature data set and the standard temperature value; calculate the humidity monitoring index according to the patient's skin humidity data set and the standard humidity value; calculate the pressure monitoring index according to the patient's skin pressure data set and the standard pressure duration; based on the temperature monitoring index, humidity monitoring index, and pressure monitoring index, determine whether to trigger the patient's abnormal temperature signal, the patient's abnormal humidity signal, and the patient's abnormal pressure duration instruction.

[0034] Specifically, the expressions of the temperature monitoring index, humidity monitoring index, and pressure monitoring index are as follows:

[0035]

[0036]

[0037]

[0038] In the formula, Indicates the temperature monitoring index, is the patient skin temperature dataset, Indicates the standard temperature value, It represents the difference between the patient's skin temperature value monitored in real time and the standard temperature value in the temperature data set. Represents the humidity monitoring index, is the patient skin moisture dataset, Indicates the standard humidity value, It represents the difference between the patient's skin humidity value detected in real time and the standard humidity value in the humidity data set. Indicates the pressure monitoring index, is the patient skin pressure dataset, Indicates the total duration of the pressure value in the pressure data set. Indicates the duration of standard pressure. Indicates the difference between the total duration of pressure values ​​in the pressure dataset and the standard pressure duration.

[0039] Further, in this example, based on the temperature monitoring index, the humidity monitoring index, and the pressure monitoring index, the process of determining whether to trigger the patient temperature abnormality signal, the patient humidity abnormality signal, and the patient pressure duration abnormality instruction includes:

[0040] When the absolute value of the difference between the patient's skin temperature value monitored in real time by the temperature monitoring index and the standard temperature value is greater than 4°C, the patient's temperature abnormality signal is triggered;

[0041] When the absolute value of the difference between the patient's skin humidity value monitored in real time by the humidity monitoring index and the standard humidity value exceeds 10%, the patient's humidity abnormality signal is triggered;

[0042] When the difference between the total duration of the pressure value monitored in real time by the pressure monitoring index and the standard pressure duration is a positive number, an abnormal pressure duration instruction for the patient is triggered.

[0043] Furthermore, the process of triggering the patient temperature abnormal signal, the patient humidity abnormal signal, and the patient pressure duration abnormal instruction includes:

[0044] The abnormal temperature signal of the patient drives the voice output device to output the patient's skin temperature care prompt voice, prompting the nursing staff to take targeted care of the patient's skin temperature;

[0045] The patient's abnormal humidity signal drives the voice output device to output the patient's skin humidity care prompt voice, prompting the nursing staff to take targeted care of the patient's skin humidity;

[0046] Abnormal instructions for the duration of patient stress drive the voice output device to output nursing prompts for relieving patient stress, prompting nursing staff to specifically relieve patient skin stress.

[0047] Step S3, obtaining the average skin temperature of the patients according to the patient skin temperature data set, obtaining the average skin humidity of the patients according to the patient skin humidity data set, and obtaining the average skin pressure of the patients according to the patient skin pressure data set; calculating a first difference between the average skin temperature of the patients and the standard temperature value, a second difference between the average skin humidity of the patients and the standard humidity value, and a third difference between the average skin pressure of the patients and the maximum skin pressure value; taking a weighted average of the first difference, the second difference, and the third difference to obtain a risk index; setting a risk threshold, and triggering a warning signal when the risk index exceeds the risk threshold.

[0048] Furthermore, the calculation process of the risk index includes:

[0049]

[0050]

[0051]

[0052]

[0053] In the formula, n is the number of detections, is the patient skin temperature dataset, is the average skin temperature of the patient, is the patient skin moisture dataset, is the average skin moisture of the patient, is the patient skin pressure dataset, is the average skin pressure of the patient, Represents the weight index for the temperature difference, Represents the weight index for humidity difference, Represents the weight index for the pressure difference, represents the risk index, Indicates the standard temperature value, Indicates the standard humidity value, Indicates the maximum value of the pressure data in the pressure dataset.

[0054] Furthermore, a risk threshold is set. When the risk index exceeds the risk threshold, the warning signal is triggered including:

[0055] Set the first stage risk threshold, the second stage risk threshold, and the i-th stage risk threshold, where i is the number of stages; the i-th stage risk threshold corresponds to the i-th stage symptom of pressure injury;

[0056] When the risk index exceeds the risk threshold of the i-th period, the i-th level warning signal is triggered.

[0057] Exemplarily, in this example, i=4, and the risk threshold is divided into a first-stage risk threshold, a second-stage risk threshold, a third-stage risk threshold and a fourth-stage risk threshold. The risk threshold and the stage number are inversely proportional. The first-stage risk threshold corresponds to the first-stage symptoms of pressure injury, the second-stage risk threshold corresponds to the second-stage symptoms of pressure injury, the third-stage risk threshold corresponds to the third-stage symptoms of pressure injury, and the fourth-stage risk threshold corresponds to the fourth-stage symptoms of pressure injury. When the risk index Fxzs exceeds the preset risk threshold, a multi-dimensional early warning instruction is generated, and a risk warning voice is output through a coupled voice device to prompt the nursing staff to check the patient's skin condition.

[0058] like Figure 2 As shown, an embodiment of the present invention provides a multi-dimensional early warning system for pressure injuries, which is used to implement the above-mentioned multi-dimensional early warning method for pressure injuries. The system includes:

[0059] The sensing acquisition module 110 is used to obtain a patient skin temperature data set, a patient skin humidity data set, and a patient skin pressure data set;

[0060] The detection module 120 includes a sensing evaluation unit 121 and a risk evaluation unit 122;

[0061] The sensing evaluation unit 121 is used to calculate the temperature monitoring index according to the patient skin temperature data set and the standard temperature value; calculate the humidity monitoring index according to the patient skin humidity data set and the standard humidity value; calculate the pressure monitoring index according to the patient skin pressure data set and the standard pressure duration; based on the temperature monitoring index, the humidity monitoring index, and the pressure monitoring index, respectively determine whether to trigger a patient temperature abnormality signal, a patient humidity abnormality signal, and a patient pressure duration abnormality instruction;

[0062] The risk assessment unit 122 is used to obtain the average skin temperature of the patient according to the patient skin temperature data set, obtain the average skin humidity of the patient according to the patient skin humidity data set, and obtain the average skin pressure of the patient according to the patient skin pressure data set; calculate a first difference between the average skin temperature of the patient and a standard temperature value, a second difference between the average skin humidity of the patient and a standard humidity value, and a third difference between the average skin pressure of the patient and a maximum skin pressure value; perform weighted average of the first difference, the second difference, and the third difference to obtain a risk index; set a risk threshold, and when the risk index exceeds the risk threshold, trigger a warning signal;

[0063] The preventive care module 130 is coupled to the sensor evaluation unit 121 and the risk evaluation unit 122 respectively; based on the abnormal temperature signal of the patient, the voice output device is driven to output the patient's skin temperature care prompt voice, prompting the nursing staff to take targeted care of the patient's skin temperature; the abnormal humidity signal of the patient drives the voice output device to output the patient's skin humidity care prompt voice, prompting the nursing staff to take targeted care of the patient's skin humidity; the abnormal pressure duration instruction of the patient drives the voice output device to output the patient's pressure relief care prompt voice, prompting the nursing staff to relieve the patient's skin pressure in a targeted manner; the early warning signal drives the voice output device to output the risk warning voice, prompting the nursing staff to check the patient's skin condition.

[0064] Regarding the system in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0065] For the system embodiment, since it basically corresponds to the method embodiment, the relevant parts can refer to the partial description of the method embodiment. The system embodiment described above is only schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present application. A person of ordinary skill in the art can understand and implement it without creative work.

[0066] According to an embodiment of the present invention, the present invention also provides an electronic device and a readable storage medium.

[0067] Figure 3 A schematic block diagram of an electronic device that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0068] The electronic device includes a computing unit 201, which can perform various appropriate actions and processes according to a computer program stored in ROM 202 or a computer program loaded from a storage unit 208 into RAM 203. In RAM 203, various programs and data required for the operation of the electronic device can also be stored. The computing unit 201, ROM 202, and RAM 203 are connected to each other via a bus 204. An I / O interface 205 is also connected to the bus 204.

[0069] A number of components in the electronic device are connected to the I / O interface 205, including: an input unit 206, such as a keyboard, a mouse, etc.; an output unit 207, such as various types of displays, speakers, etc.; a storage unit 208, such as a disk, an optical disk, etc.; and a communication unit 209, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 209 allows the electronic device to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0070] The computing unit 201 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 201 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The computing unit 201 performs the various methods and processes described above. For example, in some embodiments, the method in the multidimensional early warning system for pressure injuries may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 208. In some embodiments, part or all of the computer program may be loaded and / or installed on an electronic device via ROM 202 and / or a communication unit 209. When the computer program is loaded into RAM 203 and executed by the computing unit 201, one or more steps of the method in the multidimensional early warning system for pressure injuries described above may be executed. Alternatively, in other embodiments, the computing unit 201 may be configured to execute the method in the multidimensional early warning system for pressure injuries in any other appropriate manner (e.g., by means of firmware).

[0071] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations may include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0072] The program code for implementing the method of the present invention can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code can be executed entirely on the machine, partially on the machine, partially on the machine as a stand-alone software package and partially on a remote machine, or entirely on a remote machine or server.

[0073] In the context of the present invention, a readable storage medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or apparatus. A readable storage medium may be a machine-readable signal medium or a machine-readable storage medium. A readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any suitable combination of the foregoing. More specific examples of readable storage media may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0074] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0075] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0076] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0077] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A multi-dimensional early warning method for pressure injury, characterized in that: The method comprises the following steps: Acquire a patient skin temperature dataset, a patient skin humidity dataset, and a patient skin pressure dataset; The temperature monitoring index is calculated based on the patient's skin temperature data set and the standard temperature value; the humidity monitoring index is calculated based on the patient's skin humidity data set and the standard humidity value; the pressure monitoring index is calculated based on the patient's skin pressure data set and the standard pressure duration; Based on the temperature monitoring index, humidity monitoring index, and pressure monitoring index, determine whether to trigger a patient temperature abnormality signal, a patient humidity abnormality signal, or a patient pressure duration abnormality instruction; Obtaining the average skin temperature of the patient according to the patient skin temperature data set, obtaining the average skin humidity of the patient according to the patient skin humidity data set, and obtaining the average skin pressure of the patient according to the patient skin pressure data set; calculating a first difference between the average skin temperature of the patient and a standard temperature value, a second difference between the average skin humidity of the patient and a standard humidity value, and a third difference between the average skin pressure of the patient and a maximum skin pressure value; performing weighted average of the first difference, the second difference, and the third difference to obtain a risk index; Set a risk threshold. When the risk index exceeds the risk threshold, a warning signal is triggered.

2. A multi-dimensional early warning method for pressure injury according to claim 1, characterized in that: The process of calculating the temperature monitoring index according to the patient's skin temperature data set and the standard temperature value; calculating the humidity monitoring index according to the patient's skin humidity data set and the standard humidity value; and calculating the pressure monitoring index according to the patient's skin pressure data set and the standard pressure duration includes: ； ； ； In the formula, Indicates the temperature monitoring index, is the patient skin temperature dataset, Indicates the standard temperature value, Represents the humidity monitoring index, is the patient skin moisture dataset, Indicates the standard humidity value, Indicates the pressure monitoring index, is the patient skin pressure dataset, n is the number of detections, Indicates the total duration of the pressure value in the pressure data set. Indicates the duration of standard pressure.

3. A multi-dimensional early warning method for pressure injury according to claim 1, characterized in that: Based on the temperature monitoring index, the humidity monitoring index, and the pressure monitoring index, the process of determining whether to trigger a patient temperature abnormality signal, a patient humidity abnormality signal, and a patient pressure duration abnormality instruction includes: When the absolute value of the difference between the patient's skin temperature value monitored in real time by the temperature monitoring index and the standard temperature value is greater than 4°C, the patient's temperature abnormality signal is triggered; When the absolute value of the difference between the patient's skin humidity value monitored in real time by the humidity monitoring index and the standard humidity value exceeds 10%, the patient's humidity abnormality signal is triggered; When the difference between the total duration of the pressure value monitored in real time by the pressure monitoring index and the standard pressure duration is a positive number, an abnormal pressure duration instruction for the patient is triggered.

4. A multi-dimensional early warning method for pressure injury according to claim 3, characterized in that: The process of triggering the patient temperature abnormal signal, the patient humidity abnormal signal, and the patient pressure duration abnormal instruction includes: The patient's abnormal temperature signal drives the voice output device to output the patient's skin temperature care prompt voice; The patient's abnormal humidity signal drives the voice output device to output the patient's skin humidity care prompt voice; Abnormal patient stress duration instructions drive the voice output device to output nursing prompts to relieve patient stress.

5. A multi-dimensional early warning method for pressure injury according to claim 1, characterized in that: The calculation process of the risk index includes: ； ； ； ； In the formula, n is the number of detections, is the patient skin temperature dataset, is the average skin temperature of the patient, is the patient skin moisture dataset, is the average skin moisture of the patient, is the patient skin pressure dataset, is the average skin pressure of the patient, Represents the weight index for the temperature difference, Represents the weight index for humidity difference, Represents the weight index for the pressure difference, represents the risk index, Indicates the standard temperature value, Indicates the standard humidity value, Indicates the maximum value of the pressure data in the pressure dataset.

6. A multi-dimensional early warning method for pressure injury according to claim 1 or 4, characterized in that: Set a risk threshold. When the risk index exceeds the risk threshold, the warning signals triggered include: Set the first stage risk threshold, the second stage risk threshold, and the i-th stage risk threshold, where i is the number of stages; the i-th stage risk threshold corresponds to the i-th stage symptom of pressure injury; When the risk index exceeds the risk threshold of the i-th period, the i-th level warning signal is triggered.

7. A multi-dimensional early warning system for pressure injuries, characterized in that: When used to implement the multi-dimensional early warning method for pressure injury according to any one of claims 1 to 6, the system comprises: A sensing acquisition module, used to obtain a patient skin temperature data set, a patient skin humidity data set, and a patient skin pressure data set; The sensing evaluation unit is used to calculate the temperature monitoring index according to the patient's skin temperature data set and the standard temperature value; calculate the humidity monitoring index according to the patient's skin humidity data set and the standard humidity value; calculate the pressure monitoring index according to the patient's skin pressure data set and the standard pressure duration; based on the temperature monitoring index, humidity monitoring index, and pressure monitoring index, respectively determine whether to trigger a patient temperature abnormality signal, a patient humidity abnormality signal, and a patient pressure duration abnormality instruction; The risk assessment unit is used to obtain the average skin temperature of the patient according to the patient's skin temperature data set, obtain the average skin humidity of the patient according to the patient's skin humidity data set, and obtain the average skin pressure of the patient according to the patient's skin pressure data set; calculate the first difference between the average skin temperature of the patient and the standard temperature value, the second difference between the average skin humidity of the patient and the standard humidity value, and the third difference between the average skin pressure of the patient and the maximum skin pressure value; perform weighted average of the first difference, the second difference, and the third difference to obtain a risk index; set a risk threshold, and when the risk index exceeds the risk threshold, trigger a warning signal.

8. An electronic device, comprising a memory and a processor, characterized in that: The memory is coupled to the processor; wherein the memory is used to store program data, and the processor is used to execute the program data to implement the multi-dimensional early warning method for pressure injury as described in any one of claims 1-6 above.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the multi-dimensional early warning method for pressure injury as described in any one of claims 1-6 is implemented.

10. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instruction is executed by a processor, the multi-dimensional early warning method for pressure injury described in any one of claims 1-6 is implemented.

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