A lithotomy position human pressure injury prevention method, device and system

Abstract

The application discloses a lithotomy position human body pressure injury prevention method, device and system, wherein the method comprises the following steps: collecting body data of a plurality of target human bodies and full-body pressure data of the target human bodies in different postures under a lithotomy position, so as to obtain a plurality of groups of to-be-analyzed pressure data; the plurality of target human bodies are distributed under different body data intervals, and different postures under the lithotomy position are generated by fine adjustment of a lithotomy position supporting device; the plurality of groups of to-be-analyzed pressure data are analyzed, so as to obtain a predicted optimal posture of the human body under the lithotomy position in different body data regions; the predicted optimal posture refers to a peak value of a full-body pressure value of the human body in the corresponding body data region under the posture being the minimum; body data of a patient to be operated on is obtained, and a corresponding predicted optimal posture of the patient to be operated on is obtained; and the patient to be operated on is adjusted to the corresponding predicted optimal posture. The method disclosed by the application can reduce the possibility of pressure injury of the patient in a lithotomy position during operation.

Description

Technical Field

[0001] This invention relates to the field of medical technology, and in particular to a method, device and system for preventing pressure injuries in the lithotomy position. Background Technology

[0002] Intraoperative pressure injury refers to pressure injury caused by surgical procedures. The Association of Perioperative Registered Nurses (AORN) defines intraoperative pressure injury as a serious complication of deep tissue damage during surgery. The National Pressure Ulcer Advisory Panel (NPUAP) considers intraoperative pressure injury to be tissue damage occurring within 72 hours postoperatively and related to intraoperative positioning. Studies have shown that patients in the lithotomy position have a higher risk of intraoperative pressure injury, with the incidence rate reaching as high as 27.59% in the lithotomy position during gynecological laparoscopy.

[0003] Besides endogenous factors related to the patient's own condition, pressure injuries in the lithotomy position also involve mechanical and exogenous factors. Pressure, moisture, friction, and shear force are the main factors contributing to pressure injuries, with the continuous vertical pressure applied directly to local tissues during surgery being the primary cause. Therefore, reducing pressure on the patient's affected areas during lithotomy surgery and preventing pressure injuries has become an urgent problem to be solved. Summary of the Invention

[0004] To address the aforementioned problems, this invention provides a method for preventing pressure injuries in the lithotomy position, along with corresponding devices, systems, and computer-readable storage media.

[0005] Therefore, according to a first aspect, the present invention provides a method for preventing pressure injuries in the lithotomy position, comprising the following steps:

[0006] Body data of multiple target human subjects and their whole-body pressure data in different postures at the lithotomy position were collected to obtain multiple sets of pressure data to be analyzed; the multiple target human subjects were distributed in different body data ranges, and the different postures at the lithotomy position were generated by fine-tuning the lithotomy support device.

[0007] Multiple sets of pressure data to be analyzed are analyzed to obtain the predicted optimal posture of the human body in the lithotomy position under different body data regions; the predicted optimal posture refers to the state in which the peak value of the whole body pressure of the human body under the corresponding body data region is minimized.

[0008] Acquire the patient's body data and obtain the predicted optimal posture for the patient.

[0009] Adjust the patient awaiting surgery to their predicted optimal posture.

[0010] In an optional implementation, after adjusting the patient to their optimal position, the procedure further includes:

[0011] Obtain the predicted optimal pressure data of the patient to be operated on in their corresponding predicted optimal posture;

[0012] Based on the predicted optimal posture, the posture of the surgical patient is fine-tuned a preset number of times, and several current whole-body pressure data are obtained during the adjustment process.

[0013] If there is an actual optimal pressure data among the current whole-body pressure data, the patient to be operated on will be adjusted to the posture corresponding to the actual optimal pressure data; if there is only one pressure data among the current whole-body pressure data that is better than the predicted optimal pressure data, then that is the actual optimal pressure data; if there are only two or more pressure data among the current whole-body pressure data that are better than the predicted optimal pressure data, then the best one is the predicted optimal pressure data.

[0014] In an optional implementation, the method for preventing pressure injuries in the lithotomy position further includes the following steps:

[0015] The body data of the patient to be operated on and several corresponding current whole-body pressure data are used to update multiple sets of pressure data to be analyzed;

[0016] The updated sets of pressure data were analyzed, and the predicted optimal posture of the human body in the lithotomy position was updated for different body data regions.

[0017] In optional implementations, there are multiple types of body data, which are divided into two categories: first data and second data.

[0018] The steps involved in collecting body data from multiple target individuals and their whole-body pressure data in different postures at the lithotomy position to obtain multiple sets of pressure data to be analyzed include:

[0019] First data of multiple target human bodies and their whole-body pressure data in different postures in the lithotomy position were collected to obtain multiple sets of first data to be analyzed;

[0020] Secondary data of multiple target human bodies and their whole-body pressure data in different postures in the lithotomy position were collected to obtain multiple sets of secondary data to be analyzed;

[0021] The steps for analyzing multiple sets of pressure data to obtain the predicted optimal posture of the human body in the lithotomy position under different body data regions include:

[0022] Multiple sets of first data to be analyzed are analyzed to obtain the first predicted posture of the human body in the lithotomy position under different body data regions.

[0023] Multiple sets of second data to be analyzed are analyzed to obtain the second predicted posture of the human body in the lithotomy position under different body data regions.

[0024] The posture with the smaller peak value of the whole body pressure corresponding to the first and second predicted postures is selected as the best predicted posture.

[0025] In an optional implementation, the body data includes height data, weight data, and body dimension data.

[0026] In optional implementations, height data, weight data, human muscle mass data, and human body water content data are included.

[0027] According to a second aspect, embodiments of the present invention provide a device for preventing pressure injuries to the human body in the lithotomy position, comprising:

[0028] The data acquisition module is used to collect body data of multiple target human bodies and their whole-body pressure data in different postures under the lithotomy position, and obtain multiple sets of pressure data to be analyzed; the multiple target human bodies are distributed in different body data intervals, and the different postures under the lithotomy position are generated by fine-tuning the lithotomy position support device.

[0029] The data analysis module is used to analyze the multiple sets of pressure data to obtain the predicted optimal posture of the human body in the lithotomy position under different body data regions; the predicted optimal posture refers to the state in which the peak value of the whole body pressure of the human body under the corresponding body data region is the smallest.

[0030] The data acquisition module is used to acquire the body data of the patient to be operated on, and to acquire the predicted optimal posture corresponding to the patient to be operated on;

[0031] The posture adjustment module is used to adjust the patient to be operated on to the corresponding predicted optimal posture.

[0032] According to a third aspect, embodiments of the present invention provide a lithotomy position pressure injury prevention system, comprising: at least one processor; and a memory communicatively connected to the at least one processor; the memory stores computer instructions, and the processor executes the computer instructions to perform the method described in the first aspect or any embodiment of the first aspect.

[0033] According to a fourth aspect, embodiments of the present invention provide a computer-readable storage medium storing computer instructions for causing a computer to perform the methods described in the first aspect or any embodiment of the first aspect.

[0034] The technical solution provided by this invention has the following advantages:

[0035] 1. The lithotomy position pressure injury prevention method provided by the present invention achieves posture adjustment without affecting the medical needs of the lithotomy position by fine-tuning the lithotomy position support device. This allows for the collection of multiple sets of pressure data to obtain the predicted optimal posture of the human body in the lithotomy position under different body data areas. Furthermore, it enables the determination of the predicted optimal posture with less pressure in the lithotomy position based on the body data of the patient to be operated on, thereby reducing the possibility of pressure injury caused by excessive pressure on the compressed part during lithotomy surgery.

[0036] 2. The lithotomy position pressure injury prevention method provided by the present invention, by making a preset number of fine adjustments based on the predicted optimal posture, and using the posture formed by the preset number of fine adjustments and the pressure data in the preset optimal posture as the final lithotomy position posture of the patient to be operated on, can further reduce the possibility of pressure injury caused by excessive pressure on the pressure part during lithotomy surgery. Attached Figure Description

[0037] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0038] Figure 1 A flowchart illustrating a method for preventing pressure injuries in the lithotomy position, provided by an embodiment of the present invention.

[0039] Figure 2 A flowchart illustrating another method for preventing pressure injuries in the lithotomy position provided by an embodiment of the present invention;

[0040] Figure 3 A flowchart illustrating another method for preventing pressure injuries in the lithotomy position provided by an embodiment of the present invention;

[0041] Figure 4 A schematic diagram of a pressure injury prevention device for the lithotomy position provided in an embodiment of the present invention;

[0042] Figure 5 This is a schematic diagram of the hardware structure of a lithotomy position pressure injury prevention system provided in an embodiment of the present invention. Detailed Implementation

[0043] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0044] In the description of this invention, it should be noted that the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0045] Example 1

[0046] Figure 1 A flowchart of a method for preventing pressure injuries in the lithotomy position according to an embodiment of the present invention is shown. Specifically, as follows: Figure 1 As shown, the method may include the following steps:

[0047] S101: Collect body data of multiple target human bodies and their whole-body pressure data in different postures in the lithotomy position to obtain multiple sets of pressure data to be analyzed.

[0048] Specifically, multiple target human bodies are distributed in different body data ranges, and the different postures in the lithotomy position are generated by fine-tuning the lithotomy support device.

[0049] Those skilled in the art should understand that different postures in the lithotomy position must be based on the forced position requirements that can meet the needs of lithotomy surgery.

[0050] Specifically, the lithotomy support device may include a head support mechanism, a waist support mechanism, a hip support mechanism, and a leg support mechanism. Adjustments to the lithotomy support device can be made to its height, width, length, etc., meaning each mechanism includes a corresponding adjustment structure. Specifically, to reduce the average pressure on the human body in the lithotomy position, the lithotomy support device may also include a memory foam pad, which is laid on each of the aforementioned support mechanisms. The specific structure of the lithotomy support device can be any one capable of achieving the above-mentioned adjustment functions; this embodiment is not limited to any particular type.

[0051] Specifically, body data includes at least two types of data.

[0052] Specifically, body data can include height data, weight data, and body dimension data.

[0053] Specifically, body data can include height, weight, muscle mass, and body water content. In practice, body composition analysis can be used to collect body data.

[0054] Specifically, body data can also include height data, weight data, body dimensions data, waist-to-hip ratio data, body muscle mass data, and body water content data.

[0055] Specifically, whole-body pressure data can be collected using pressure test pads laid on the rock-cutting support device.

[0056] S102: Analyze multiple sets of pressure data to obtain the predicted optimal posture of the human body in the lithotomy position under different body data regions.

[0057] Specifically, the predicted optimal posture refers to the state in which the peak value of the body's overall pressure is minimized in the corresponding body data area.

[0058] Specifically, multiple sets of pressure data to be analyzed can be analyzed all at once, or the data can be divided into two or more parts for separate analysis. The results from these analyses are then selected to obtain the final analysis result. For example, if body data can include height, weight, body dimensions, waist-to-hip ratio, muscle mass, and body water content, then the height, weight, body dimensions, waist-to-hip ratio, and whole-body pressure data of multiple target individuals in different postures at the lithotomy position can be used as the first part of the data. The height, weight, muscle mass, body water content, and whole-body pressure data of multiple target individuals in different postures at the lithotomy position can be used as the second part of the data, and then analyzed separately before the optimal result is selected.

[0059] Specifically, the EM algorithm, SVM support vector machine, and BP neural network model can be used to analyze multiple sets of stress data to be analyzed.

[0060] S103: Obtain the body data of the patient to be operated on, and obtain the predicted optimal posture for the patient to be operated on.

[0061] Specifically, the predicted optimal posture for the patient to be operated on is obtained based on the analysis results of step S200 above, according to the patient's body data.

[0062] S104: Adjust the patient to be operated on to their corresponding predicted optimal posture.

[0063] As an optional specific implementation of this embodiment, in order to improve the accuracy of predicting the optimal posture of the patient in the lithotomy position and further reduce the possibility of pressure injury in the patient after surgery in the lithotomy position, multiple body data can be set and divided into two categories: first data and second data; at this time, such as Figure 2As shown, the method for preventing pressure injuries in the lithotomy position in this embodiment may include the following steps:

[0064] S201: Collect first data of multiple target human bodies and their whole-body pressure data in different postures under lithotomy position to obtain multiple sets of first data to be analyzed.

[0065] S202: Collect second data of multiple target human bodies and their whole-body pressure data in different postures in the lithotomy position to obtain multiple sets of second data to be analyzed.

[0066] Specifically, body data may include height data, weight data, body circumference data, waist-to-hip ratio data, body muscle mass data, and body water content data. In this case, the first data may include height data, weight data, body circumference data, and waist-to-hip ratio data, and the second data may include height data, weight data, body muscle mass data, and body water content data (there may be overlapping data in the first and second data, that is, the union of the first and second data is the body data, and the intersection of the first and second data is not necessarily an empty set).

[0067] S203: Analyze multiple sets of first data to be analyzed to obtain the first predicted posture of the human body in the lithotomy position under different body data regions.

[0068] S204: Analyze multiple sets of second data to be analyzed to obtain the second predicted posture of the human body in the lithotomy position under different body data regions.

[0069] S205: Select the posture with the smaller peak value of the whole body pressure corresponding to the first and second predicted postures as the best predicted posture.

[0070] S206: Obtain the body data of the patient to be operated on, and obtain the predicted optimal posture for the patient to be operated on.

[0071] S207: Adjust the patient to be operated on to their corresponding predicted optimal posture.

[0072] Steps S203 to S207 can be understood by referring to the specific content of steps S102 to S104 above.

[0073] As an optional specific implementation of this embodiment, in order to further reduce the possibility of pressure injury in patients undergoing surgery in the lithotomy position, such as... Figure 3 As shown, based on the above steps S101 to S104 (or alternatively, based on the above steps S201 to S207), the method in this embodiment may further include the following steps:

[0074] S105: Obtain the predicted optimal pressure data of the patient to be operated on in their corresponding predicted optimal posture.

[0075] S106: Based on the predicted optimal posture, fine-tune the posture of the patient to be operated on a preset number of times, and obtain several current whole-body pressure data during the adjustment process.

[0076] Specifically, the preset number of times can be any number between 4 and 10.

[0077] Specifically, when making fine adjustments, adjustments can be made in two directions, increasing and decreasing, based on the predicted optimal posture. For example, if the waist height in the predicted optimal posture is 280mm, it can be adjusted to 276mm, 278mm, 282mm, and 284mm, etc.

[0078] S107: If there is an actual optimal pressure data in the current whole-body pressure data, then adjust the patient to the posture corresponding to the actual optimal pressure data.

[0079] Specifically, if there is only one current whole-body pressure data point that is better than the predicted optimal pressure data point, then that is the actual optimal pressure data point; if there are two or more current whole-body pressure data points that are better than the predicted optimal pressure data point, then the optimal one among them is the predicted optimal pressure data point. Specifically, a current whole-body pressure data point that is better than the predicted optimal pressure data point means that the peak value of the current whole-body pressure data point is smaller than the peak value of the predicted optimal pressure data point; the optimal item among two or more current whole-body pressure data points refers to the item with the smallest peak value.

[0080] As an optional specific implementation of this embodiment, in order to improve the accuracy of predicting the optimal posture of the patient in the lithotomy position and further reduce the possibility of pressure injury in patients undergoing surgery in the lithotomy position, such as... Figure 3 As shown, based on the above steps S105 to S107, the method in this embodiment may further include the following steps:

[0081] S108: Update multiple sets of pressure data to be analyzed using the patient's physical data and corresponding current whole-body pressure data.

[0082] S109: Analyze the updated multiple sets of pressure data to be analyzed, and update the predicted optimal posture of the human body in the lithotomy position under different body data regions.

[0083] Those skilled in the art should understand that if the body data includes first data and second data as described above, then step S108 involves updating multiple sets of first data to be parsed and multiple sets of second data to be parsed, and step S109 involves parsing the updated multiple sets of first data to be parsed and multiple sets of second data to be parsed, updating the first predicted posture and the second predicted posture respectively, and then updating the predicted optimal posture.

[0084] In summary, the lithotomy position pressure injury prevention method in this embodiment achieves posture adjustment without affecting the medical needs of the lithotomy position by fine-tuning the lithotomy position support device. This allows for the collection of multiple sets of pressure data to obtain the predicted optimal posture of the human body in the lithotomy position under different body data areas. Furthermore, based on the patient's body data, the predicted optimal posture with less pressure in the lithotomy position can be obtained, reducing the possibility of pressure injury caused by excessive pressure on the compressed parts during lithotomy surgery.

[0085] Example 2

[0086] This invention provides a device for preventing pressure injuries in the lithotomy position, such as... Figure 4 As shown, the device includes: a data acquisition module 10, a data parsing module 20, a data acquisition module 30, and an attitude adjustment module 40. Among them,

[0087] The data acquisition module 10 is used to collect body data of multiple target human bodies and their whole-body pressure data in different postures under the lithotomy position, and obtain multiple sets of pressure data to be analyzed; the multiple target human bodies are distributed in different body data ranges, and the different postures under the lithotomy position are generated by fine-tuning the lithotomy position support device.

[0088] The data parsing module 20 is used to parse the multiple sets of pressure data to obtain the predicted optimal posture of the human body in the lithotomy position under different body data regions; the predicted optimal posture refers to the state in which the peak value of the whole body pressure of the human body under the corresponding body data region is the smallest.

[0089] The data acquisition module 30 is used to acquire the body data of the patient to be operated on, and to acquire the predicted optimal posture corresponding to the patient to be operated on;

[0090] The posture adjustment module 40 is used to adjust the patient to be operated on to the corresponding predicted optimal posture.

[0091] The further functional descriptions of the above modules are the same as those in Embodiment 1 above, and will not be repeated here.

[0092] This invention also provides a system for preventing pressure injuries in the lithotomy position, such as... Figure 5 As shown, the system may include a processor 51 and a memory 52, wherein the processor 51 and the memory 52 may be connected via a bus or other means. Figure 5 Taking the example of a connection between China and Israel via a bus.

[0093] Processor 51 can be a central processing unit (CPU). Processor 51 can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or combinations of the above types of chips.

[0094] The memory 52, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as the program instructions / modules corresponding to the network security assessment method in Embodiment 1 of the present invention. The processor 51 executes various functional applications and data processing of the processor by running the non-transitory software programs, instructions, and modules stored in the memory 52, thereby realizing the lithotomy position pressure injury prevention method in Embodiment 1 of the above method.

[0095] The memory 52 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created by the processor 51, etc. Furthermore, the memory 52 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory 52 may optionally include memory remotely located relative to the processor 51, and these remote memories may be connected to the processor 51 via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0096] The one or more modules are stored in the memory 52, and when executed by the processor 51, they perform the following: Figures 1-3 The method for preventing pressure injuries in the lithotomy position shown in Example 1.

[0097] For specific details regarding the lithotomy position pressure injury prevention system, please refer to the relevant documentation. Figures 1 to 3 The relevant descriptions and effects in Example 1 shown are for your understanding and will not be repeated here.

[0098] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk drive (HDD), or solid-state drive (SSD), etc.; the storage medium can also include combinations of the above types of memory.

[0099] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.

Claims

1. A method for preventing pressure injuries in the lithotomy position, characterized in that, Includes the following steps: Body data of multiple target human bodies and their whole-body pressure data in different postures at the lithotomy position are collected to obtain multiple sets of pressure data to be analyzed; the multiple target human bodies are distributed in different body data ranges, and the different postures at the lithotomy position are generated by fine-tuning the lithotomy support device. The multiple sets of pressure data to be analyzed are analyzed to obtain the predicted optimal posture of the human body in the lithotomy position under different body data regions; the predicted optimal posture refers to the state in which the peak value of the whole body pressure of the human body under the corresponding body data region is the smallest. Obtain the body data of the patient to be operated on, and obtain the predicted optimal posture corresponding to the patient to be operated on; The patient scheduled for surgery is adjusted to the predicted optimal posture.

2. The method for preventing pressure injuries in the lithotomy position according to claim 1, characterized in that, After the step of adjusting the patient to be operated on to their corresponding optimal posture, the procedure further includes: Obtain the predicted optimal pressure data of the patient to be operated on in their corresponding predicted optimal posture; Based on the predicted optimal posture, the posture of the patient to be operated on is fine-tuned a preset number of times, and several current whole-body pressure data are obtained during the adjustment process; If there is an actual optimal pressure data among the current whole-body pressure data, the patient to be operated on will be adjusted to the posture corresponding to the actual optimal pressure data; if there is only one current whole-body pressure data that is better than the predicted optimal pressure data, then that is the actual optimal pressure data; if there are only two or more current whole-body pressure data that are better than the predicted optimal pressure data, then the best one is the predicted optimal pressure data.

3. The method for preventing pressure injuries in the lithotomy position according to claim 2, characterized in that, It also includes the following steps: The multiple sets of pressure data to be analyzed are updated using the patient's physical data and the corresponding current whole-body pressure data. The updated sets of pressure data to be analyzed are then analyzed, and the predicted optimal posture of the human body in the lithotomy position under different body data regions is updated.

4. The method for preventing pressure injuries in the lithotomy position according to claim 1, characterized in that, The body data is of various types, and the various body data are divided into two categories: first data and second data. The step of collecting body data from multiple target individuals and their whole-body pressure data in different postures at the lithotomy position to obtain multiple sets of pressure data to be analyzed specifically includes: First data of multiple target human bodies and their whole-body pressure data in different postures in the lithotomy position were collected to obtain multiple sets of first data to be analyzed; Secondary data of multiple target human bodies and their whole-body pressure data in different postures in the lithotomy position were collected to obtain multiple sets of secondary data to be analyzed; The step of analyzing the multiple sets of pressure data to obtain the predicted optimal posture of the human body in the lithotomy position under different body data regions specifically includes: The multiple sets of first data to be analyzed are analyzed to obtain the first predicted posture of the human body in the lithotomy position under different body data regions. The multiple sets of second data to be analyzed are analyzed to obtain the second predicted posture of the human body in the lithotomy position under different body data regions. The posture with the smaller peak value of the whole body pressure corresponding to the first predicted posture and the second predicted posture is selected as the optimal predicted posture.

5. The method for preventing pressure injuries in the lithotomy position according to any one of claims 1-4, characterized in that, The body data includes height data, weight data, and body dimension data.

6. The method for preventing pressure injuries in the lithotomy position according to any one of claims 1-4, characterized in that, Height data, weight data, muscle mass data, and body water content data.

7. A device for preventing pressure injuries in the lithotomy position, characterized in that, include: The data acquisition module is used to collect body data of multiple target human bodies and their whole-body pressure data in different postures under the lithotomy position, and obtain multiple sets of pressure data to be analyzed; the multiple target human bodies are distributed in different body data intervals, and the different postures under the lithotomy position are generated by fine-tuning the lithotomy position support device. The data analysis module is used to analyze the multiple sets of pressure data to obtain the predicted optimal posture of the human body in the lithotomy position under different body data regions; the predicted optimal posture refers to the state in which the peak value of the whole body pressure of the human body under the corresponding body data region is the smallest. The data acquisition module is used to acquire the body data of the patient to be operated on, and to acquire the predicted optimal posture corresponding to the patient to be operated on; The posture adjustment module is used to adjust the patient to be operated on to the corresponding predicted optimal posture.

8. A system for preventing pressure injuries in the lithotomy position, characterized in that, include: At least one processor; And a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to cause the at least one processor to perform the method described in any one of claims 1-6.

9. A computer-readable storage medium storing computer instructions thereon, characterized in that, When executed by the processor, this instruction implements the steps of the method described in any of claims 1-6.

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