Orthopedic wound intelligent assessment method and related device
By acquiring initial wound information and surrounding relevant information, and combining it with color sampling results, a multi-dimensional assessment report is generated, which solves the problem of inconsistent orthopedic wound assessment standards and improves the uniformity of assessment and treatment efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- FOSHAN HOSPITAL OF TCM
- Filing Date
- 2025-12-11
- Publication Date
- 2026-05-01
AI Technical Summary
Existing orthopedic wound assessment methods rely on physician experience, leading to inconsistent assessment standards, which affects the treatment process and is inefficient.
By acquiring initial information, status, and surrounding information about the wound, and combining this with color data acquisition results, a multi-dimensional assessment report is generated, thus standardizing wound assessment criteria.
It enables a multi-dimensional understanding of wound information, provides standardized treatment and care plans, and improves the uniformity and efficiency of assessment.
Smart Images
Figure CN121964027A_ABST
Abstract
Description
A smart assessment method and related device for orthopedic wounds Technical Field
[0001] This application relates to the field of orthopedic wound assessment technology, and in particular to an intelligent assessment method and related device for orthopedic wounds. Background Technology
[0002] Currently, the assessment of orthopedic wounds generally relies on doctors' experience. However, because each doctor's assessment standards differ, the assessment results also vary, leading to different treatment and care plans. Clearly, these different treatment and care plans inevitably affect the wound recovery process. Furthermore, relying solely on doctors' visual and sensory assessment of the patient and wound is relatively inefficient. Therefore, existing methods suffer from inconsistent wound treatment progress due to varying treatment plans, resulting in low treatment efficiency. Summary of the Invention
[0003] To address the aforementioned issues, this application provides an intelligent assessment method and related device for orthopedic wounds, which can organically unify the assessment standards for wounds, thereby facilitating standardized treatment and care of wounds in the future.
[0004] According to one aspect of the embodiments of this application, an intelligent assessment method for orthopedic wounds is proposed. The method includes: acquiring initial information about a patient's wound, the initial information including wound occurrence time, wound state, and relevant information surrounding the wound; classifying the wound according to the wound state and the relevant information surrounding the wound to obtain the nature of the wound; analyzing the degree of tissue damage of the wound according to the wound state, the relevant information surrounding the wound, and the nature of the wound to obtain a tissue damage analysis result; acquiring color acquisition results of the wound, and determining the wound stage according to the color acquisition results, the wound occurrence time, and the nature of the wound; and generating an assessment report for the wound based on the nature of the wound, the tissue damage analysis result, and the wound stage.
[0005] In the above scheme, the wound condition includes wound size, wound location, and wound exudation status; the relevant information around the wound includes basal tissue information near the wound, odor information emitted by the wound, and skin information near the wound; classifying the wound based on the wound condition and the relevant information around the wound to obtain the nature of the wound includes: determining first initial assessment information of the wound based on the wound size, wound location, and wound exudation status; determining second initial assessment information of the wound based on the basal tissue information, odor information, and skin information; and classifying the wound based on the first initial assessment information and the second initial assessment information to obtain the nature of the wound.
[0006] In the above scheme, determining the first initial assessment information of the wound based on the wound size, the wound location, and the state of exudation at the wound includes: determining whether the wound belongs to a first size type wound or a second size type wound based on the wound size to obtain a first judgment result; determining whether the wound location belongs to the upper body or the lower body based on the wound location to obtain a second judgment result; determining the amount of fluid exuded at the wound based on the state of exudation at the wound; and determining the first initial assessment information based on the first judgment result, the second judgment result, and the amount of fluid exuded at the wound.
[0007] In the above scheme, determining the second initial assessment information of the wound based on the basal tissue information, the odor information, and the skin information includes: determining the tissue type of the basal tissue information; determining the odor type corresponding to the odor information; determining the skin tissue corresponding to the skin information, and judging whether there is damage to the skin tissue near the wound based on the skin information to obtain a fourth judgment result; and determining the second initial assessment information based on the tissue type of the basal tissue information, the odor type corresponding to the odor information, the skin tissue corresponding to the skin information, and the fourth judgment result.
[0008] In the above scheme, the nature of the wound includes necrotic wounds and chronic wounds. The step of analyzing the degree of tissue damage of the wound based on the wound condition, relevant information around the wound, and the nature of the wound to obtain the tissue damage analysis result includes: if the nature of the wound is a necrotic wound, then the tissue damage analysis result is determined based on the wound size, the wound location, and the exudation state at the wound site; if the nature of the wound is a chronic wound, then the tissue damage degree of the wound is analyzed based on the wound size, the wound location, the exudation state at the wound site, the odor information, the skin information, and the nature of the wound to obtain the tissue damage analysis result.
[0009] In the above scheme, determining the wound stage based on the color acquisition result, the wound occurrence time, and the nature of the wound includes: if the color acquisition result is black, and the time difference between the wound occurrence time and the current time is less than a preset time threshold, and the nature of the wound is a necrotic wound, then the wound stage is determined to be the necrosis stage or the initial inflammation stage; if the color acquisition result is yellow, and the nature of the wound is inflammatory exudation, then the wound stage is determined to be the intermediate inflammation stage; if the color acquisition result is red, and the nature of the wound is the granulation tissue growth stage, then the wound stage is determined to be the proliferative stage; if the color acquisition result is pink, and the nature of the wound is the epithelial formation stage, then the wound stage is determined to be the repair stage.
[0010] According to one aspect of the embodiments of this application, an intelligent assessment device for orthopedic wounds is proposed. The device includes: an acquisition unit for acquiring initial information about a patient's wound, the initial information including wound occurrence time, wound state, and relevant information surrounding the wound; a classification unit for classifying the wound according to the wound state and the relevant information surrounding the wound to obtain the nature of the wound; an analysis unit for analyzing the degree of tissue damage of the wound according to the wound state, the relevant information surrounding the wound, and the nature of the wound to obtain a tissue damage degree analysis result; a determination unit for acquiring color sampling results of the wound and determining the wound stage according to the color sampling results, the wound occurrence time, and the nature of the wound; and an assessment unit for generating an assessment report for the wound based on the nature of the wound, the tissue damage degree analysis result, and the wound stage.
[0011] According to one aspect of the present application, an electronic device is provided, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the intelligent assessment method for orthopedic wounds as described above. According to another aspect of the present application, a computer program product is provided, the computer program product including a computer program, the computer program being read and executed by the processor of an electronic device, causing the electronic device to perform the intelligent assessment method for orthopedic wounds as described above.
[0012] The beneficial effects of this application are as follows: This application can classify wounds based on their condition and surrounding information to determine their nature. By combining the wound condition, surrounding information, and wound nature, the degree of tissue damage is analyzed, yielding a tissue damage analysis result. The wound stage is determined by acquiring the wound's color data, considering the color data, the time of wound occurrence, and the wound's nature. Finally, the wound nature, the tissue damage analysis result, and the wound stage are summarized to generate a wound assessment report. The assessment report generated by this application provides a multi-dimensional and intuitive understanding of the patient's wound information, organically unifying wound assessment standards and providing an effective auxiliary means for doctors to choose subsequent treatment plans. Attached Figure Description
[0013] Figure 1 is a system architecture diagram of the intelligent assessment method for orthopedic wounds provided in the embodiments of this application; Figure 2 is a flowchart of the intelligent assessment method for orthopedic wounds provided in the embodiments of this application; Figure 3 is a block diagram of the intelligent assessment device for orthopedic wounds provided in the embodiments of this application; Figure 4 is a structural schematic diagram of a terminal provided in the embodiments of this application; Figure 5 is a structural schematic diagram of a server provided in the embodiments of this application. Detailed Implementation
[0014] To enable those skilled in the art to better understand the solutions of this application, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0015] It should be noted that while some processes described in the specification, claims, and accompanying drawings include multiple steps appearing in a specific order, it should be clearly understood that these steps may not be performed in the order they appear herein, or may be performed in parallel. The step numbers are merely used to distinguish different steps and do not themselves represent any execution order. Furthermore, descriptions such as "first," "second," or "objective" in this document are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. "Multiple" in this document refers to at least two.
[0016] It is worth noting that in the specific embodiments of this application, data such as initial wound information and color acquisition results are involved. When the above embodiments of this application are applied to specific products or technologies, permission or consent from the target object is required, and the collection, use, and processing of related data must comply with relevant laws, regulations, and standards. For example, when an embodiment of this application needs to obtain data such as initial wound information and color acquisition results, separate permission or consent from the target object can be obtained through pop-up windows or redirection to a confirmation page. After obtaining the separate permission or consent from the target object, the necessary initial wound information, color acquisition results, and other related data for the normal operation of the embodiment of this application can be obtained.
[0017] Please refer to Figure 1, which is a system architecture diagram of the intelligent assessment method for orthopedic wounds provided in this application embodiment. It includes a terminal 140, an Internet connection 130, a gateway 120, a server 110, etc.
[0018] Terminal 140 can take various forms, including desktop computers, laptops, PDAs (personal digital assistants), mobile phones, vehicle terminals, and dedicated terminals. Furthermore, it can be a single device or a collection of multiple devices. For example, multiple desktop computers can be interconnected via a local area network, sharing a single monitor to work collaboratively, forming a single terminal 140. Terminal 140 can communicate with the Internet 130 via wired or wireless means to exchange data.
[0019] Server 110 refers to a computer system capable of providing certain services to terminal 140. Compared to ordinary terminal 140, server 110 has higher requirements in terms of stability, security, and performance. Server 110 can be a single high-performance computer in a network platform, a cluster of multiple high-performance computers, a portion of a single high-performance computer (e.g., a virtual machine), or a combination of portions of multiple high-performance computers (e.g., virtual machines). Server 110 can also communicate with the Internet 130 via wired or wireless means to exchange data.
[0020] Gateway 120, also known as an internetwork connector or protocol converter, is a computer system or device that acts as a translator, enabling network interconnection at the transport layer. It bridges the gap between two systems using different communication protocols, data formats, languages, or even completely different architectures. Gateways can also provide filtering and security functions. Messages sent from terminal 140 to server 110 are forwarded to the corresponding server 110 via gateway 120. Messages sent from server 110 to terminal 140 are also forwarded to the corresponding terminal 140 via gateway 120.
[0021] The following provides a detailed description of the specific implementation of the embodiments of this application: Please refer to Figure 2, which is a flowchart illustrating the intelligent assessment method for orthopedic wounds provided in this application embodiment. The intelligent assessment method for orthopedic wounds can be implemented by server 110 and / or terminal 140. The intelligent assessment method for orthopedic wounds shown in Figure 2 includes: Step 210: Obtaining initial information about the patient's wound, including the wound occurrence time, wound status, and relevant information around the wound; Step 220: Classifying the wound according to the wound status and relevant information around the wound to obtain the nature of the wound; Step 230: Analyzing the degree of tissue damage of the wound according to the wound status, relevant information around the wound, and the nature of the wound to obtain a tissue damage analysis result; Step 240: Obtaining the color acquisition result of the wound, and determining the wound stage of the wound according to the color acquisition result, the wound occurrence time, and the nature of the wound; Step 250: Generating an assessment report for the wound based on the nature of the wound, the tissue damage analysis result, and the wound stage.
[0022] The complete embodiment of this application will be explained in detail below with reference to steps 210-250: In step 210, initial information about the patient's wound is obtained. The initial information includes the time of wound occurrence, the wound condition, and related information around the wound. Here, the initial information about the patient's wound is the information entered into the system when the patient first seeks medical treatment. For example, it includes the time of wound occurrence, the wound condition, and related information around the wound. Of course, the information entered into the system does not only include the above-mentioned time of wound occurrence, wound condition, and related information around the wound, but also includes the patient's age, medical history, body position, injury mechanism, etc., which helps to understand the patient's condition in a comprehensive way.
[0023] In step 220, the wound is classified according to its condition and surrounding information to determine its nature. Specifically, the wound condition includes wound size, wound location, and wound exudation status. The surrounding information includes information about the underlying tissue near the wound, odor emitted by the wound, and skin information near the wound. Classifying the wound according to its condition and surrounding information to determine its nature includes: determining first initial assessment information of the wound based on its size, location, and exudation status; determining second initial assessment information of the wound based on the underlying tissue, odor, and skin information; and classifying the wound according to the first and second initial assessment information to determine its nature.
[0024] Here, the size of the wound is used to determine whether it belongs to a first-size type wound or a second-size type wound, resulting in a first judgment result; the location of the wound is used to determine whether it belongs to the upper body or the lower body, resulting in a second judgment result; the amount of fluid seeping from the wound is determined based on the state of fluid seepage at the wound; and the first initial assessment information is determined based on the first judgment result, the second judgment result, and the amount of fluid seeping from the wound.
[0025] Here, the first size type wound is used to characterize larger wounds, such as wounds with an area greater than a preset area threshold, for example, 6 square centimeters. If the wound area exceeds 6 square centimeters, it is considered a first-size wound; if the wound area is less than or equal to 6 square centimeters, it is considered a second-size wound. The second judgment result is used to characterize whether the wound is located on the upper or lower body, and the amount of fluid oozing from the wound can also be used to determine the first initial assessment information. For example, if the amount of fluid oozing from the wound is greater than 10 milliliters, it indicates that the wound is of higher severity, thus generating the first initial assessment information.
[0026] In some embodiments, determining the second initial assessment information of the wound based on the basal tissue information, the odor information, and the skin information includes: determining the tissue type of the basal tissue information; determining the odor type corresponding to the odor information; determining the skin tissue corresponding to the skin information, and judging whether there is damage to the skin tissue near the wound based on the skin information to obtain a fourth judgment result; and determining the second initial assessment information based on the tissue type of the basal tissue information, the odor type corresponding to the odor information, the skin tissue corresponding to the skin information, and the fourth judgment result.
[0027] Here, the basal tissue information is responsible for connecting, supporting, nourishing, and protecting other tissues and organs, and is a truly "basic" tissue. Therefore, determining the tissue type of the basal tissue information can be one of the factors to consider in the second initial assessment information. Similarly, the odor information at the wound site, i.e., the odor type, also affects the wound assessment. Furthermore, whether there is damage to the skin tissue at the wound site (i.e., the fourth judgment result) and the type of skin tissue also affect the wound assessment. Therefore, by combining the tissue type of the basal tissue information, the odor type corresponding to the odor information, the skin tissue corresponding to the skin information, and the fourth judgment result, a detailed and comprehensive second initial assessment information can be obtained.
[0028] In step 230, the degree of tissue damage to the wound is analyzed based on the wound condition, relevant information around the wound, and the nature of the wound to obtain a tissue damage analysis result. Specifically, the nature of the wound includes necrotic wounds and chronic wounds. The step of analyzing the degree of tissue damage to the wound based on the wound condition, relevant information around the wound, and the nature of the wound to obtain a tissue damage analysis result includes: if the wound is a necrotic wound, the tissue damage analysis result is determined based on the wound size, the wound location, and the exudation state at the wound site; if the wound is a chronic wound, the tissue damage degree is analyzed based on the wound size, the wound location, the exudation state at the wound site, the odor information, the skin information, and the nature of the wound to obtain a tissue damage analysis result.
[0029] Here, by combining the size of the wound, the location of the wound, the state of exudation at the wound site, odor information, skin information, and the nature of the wound, a comprehensive analysis of the degree of tissue damage can be performed to obtain the results of the tissue damage analysis.
[0030] Necrotic wounds are defined as wounds formed when the skin structure is damaged by external forces in a very short period of time. They can repair themselves or repair themselves in an orderly and timely manner. Chronic wounds, on the other hand, are wounds that cannot reach a state of anatomical and functional integrity through a normal, orderly, and timely repair process. Generally, wounds that have not healed after 4 weeks are considered to be non-cancerous wounds.
[0031] For example, if the wound is 5 square centimeters in size, located on the elbow, has no odor, and the skin near the wound is damaged, then the nature of the wound is a necrotic wound. The tissue damage analysis result can be that the elbow wound has moderate damage. Similarly, the tissue damage analysis result can be determined based on different information about other wounds.
[0032] The results of the tissue damage analysis also included partial skin defects: referring to damage to the epidermis and part of the dermis, which mainly heals through reepithelialization; the wound penetrates the epidermal layer but does not penetrate the deep dermal layer.
[0033] In step 240, the color acquisition result of the wound is obtained, and the wound stage is determined based on the color acquisition result, the wound occurrence time, and the nature of the wound. Here, if the color acquisition result is black, and the time difference between the wound occurrence time and the current time is less than a preset time threshold, and the nature of the wound is a necrotic wound, then the wound stage is determined to be the necrosis stage or the initial inflammation stage; if the color acquisition result is yellow, and the nature of the wound is inflammatory exudation, then the wound stage is determined to be the intermediate inflammation stage; if the color acquisition result is red, and the nature of the wound is the granulation tissue growth stage, then the wound stage is determined to be the proliferative stage; if the color acquisition result is pink, and the nature of the wound is the epithelial formation stage, then the wound stage is determined to be the repair stage.
[0034] Specifically, the color sampling result is black: representing soft or hard eschar. 1. Base color: from brown to grayish black. 2. Wound stage: initial inflammatory phase. 3. Wound characteristics: necrotic tissue lacking blood supply: dry, leathery, tough black necrotic tissue.
[0035] The color sampling result is yellow: This indicates that the wound is oozing. 1. Base color: yellow / yellowish-white / yellowish-green 2. Wound stage: inflammatory stage 3. Wound characteristics: continuous secretion of fluid or even pus; often presents as lumps of yellow necrotic tissue and decaying flesh.
[0036] The color sampling result is red: representing clean and healthy granulation tissue. 1. Base color: dark red / light red / deep red 2. Wound stage: proliferative phase 3. Wound characteristics: clear boundary and granulation tissue proliferation.
[0037] The color sampling result is pink: indicating that there is newly formed epithelial tissue covering the wound. 1. Base color: pink / white 2. Wound stage: repair period 3. Wound characteristics: newly formed epithelial tissue creeping over the wound.
[0038] In step 250, by combining the nature of the wound, the results of the tissue damage analysis, the stage of the wound, and the type of injury (e.g., violent injury, crush injury, electric shock injury, sports injury, pathological fracture), an assessment report for the wound can be generated. Through the generated multi-dimensional comprehensive assessment report, the patient's wound information can be understood intuitively, effectively assisting doctors in taking targeted treatment plans.
[0039] In summary, this application classifies wounds based on their condition and surrounding information to determine their nature. By combining wound condition, surrounding information, and wound nature, the degree of tissue damage is analyzed, yielding a tissue damage analysis result. Color sampling results are acquired, and the wound stage is determined based on these results, the wound occurrence time, and the wound nature. Finally, the wound nature, the tissue damage analysis result, and the wound stage are summarized to generate a wound assessment report. The assessment report generated by this application provides a multi-dimensional and intuitive understanding of the patient's wound information, organically unifying wound assessment standards and providing an effective auxiliary tool for doctors to choose subsequent treatment plans.
[0040] Please refer to Figure 3, which is a schematic diagram of the structure of the intelligent orthopedic wound assessment device provided in this embodiment of the application. This intelligent orthopedic wound assessment device is applied to a computer device and may include: an acquisition unit 301, used to acquire initial information about the patient's wound, including the wound occurrence time, wound state, and related information around the wound; a classification unit 302, used to classify the wound according to the wound state and related information around the wound to obtain the nature of the wound; an analysis unit 303, used to analyze the degree of tissue damage of the wound according to the wound state, related information around the wound, and the nature of the wound to obtain a tissue damage analysis result; a determination unit 304, used to acquire the color acquisition result of the wound and determine the wound stage based on the color acquisition result, the wound occurrence time, and the nature of the wound; and an assessment unit 305, used to generate an assessment report for the wound based on the nature of the wound, the tissue damage analysis result, and the wound stage.
[0041] Referring to Figure 4, which is a partial structural block diagram of a terminal 140 implementing an embodiment of this application, the terminal 140 includes: a radio frequency (RF) circuit 710, a memory 715, an input unit 730, a display unit 740, a sensor 750, an audio circuit 760, a wireless fidelity (WiFi) module 770, a processor 780, and a power supply 790, among other components. Those skilled in the art will understand that the structure of the terminal 140 shown in Figure 4 does not constitute a limitation on a mobile phone or computer, and may include more or fewer components than shown, or combine certain components, or have different component arrangements.
[0042] The RF circuit 710 can be used to receive and transmit signals during information transmission or calls. In particular, it receives downlink information from the base station and processes it with the processor 780; in addition, it transmits uplink data to the base station.
[0043] The memory 715 can be used to store software programs and modules. The processor 780 executes various terminal functions and intelligent assessment and processing of orthopedic wounds by running the software programs and modules stored in the memory 715.
[0044] The input unit 730 can be used to receive input numeric or character information, and to generate key signal inputs related to the terminal's settings and function control. Specifically, the input unit 730 may include a touch panel 731 and other input devices 732.
[0045] The display unit 740 can be used to display input or provided information, as well as various menus of the terminal. The display unit 740 may include a display panel 741.
[0046] Audio circuitry 760, speaker 761, and microphone 762 provide an audio interface.
[0047] In this embodiment, the processor 780 included in the terminal 140 can execute the intelligent assessment method for orthopedic wounds described in the previous embodiment.
[0048] The terminal 140 in this application embodiment includes, but is not limited to, mobile phones, computers, intelligent voice interaction devices, smart home appliances, vehicle terminals, and aircraft. This application embodiment can be applied to various scenarios, including but not limited to cloud technology, artificial intelligence, smart transportation, and assisted driving.
[0049] Figure 5 is a partial structural block diagram of a server 110 implementing an embodiment of this application. The server 110 can vary significantly due to different configurations or performance, and may include one or more central processing units (CPUs) 822 (e.g., one or more processors) and a memory 832, and one or more storage media 830 (e.g., one or more mass storage devices) for storing application programs 842 or data 844. The memory 832 and storage media 830 can be temporary or persistent storage. The program stored in the storage media 830 may include one or more modules (not shown in the figure), each module including a series of instruction operations on the server 110. Furthermore, the CPU 822 may be configured to communicate with the storage media 830 and execute the series of instruction operations in the storage media 830 on the server 110.
[0050] Server 110 may also include one or more power supplies 826, one or more wired or wireless network interfaces 850, one or more input / output interfaces 858, and / or one or more operating systems 841, such as Windows Server™, Mac OS X™, Unix™, Linux™, FreeBSD™, etc.
[0051] The central processing unit 822 in server 110 can be used to execute the intelligent assessment method for orthopedic wounds according to the embodiments of this application.
[0052] This application also provides a computer-readable storage medium for storing program code for executing the intelligent assessment method for orthopedic wounds of the foregoing embodiments.
[0053] This application also provides a computer program product, which includes a computer program. The processor of a computer device reads and executes the computer program, causing the computer device to perform the above-described intelligent assessment method for orthopedic wounds.
[0054] Furthermore, the terms “comprising” and “including”, and any variations thereof, are intended to cover non-exclusive inclusion, such that a process, method, system, product, or apparatus that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to such process, method, product, or apparatus.
[0055] It should be understood that in this application, "at least one (item)" means one or more, and "more than" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one (item) of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one (item) of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.
[0056] It should be understood that in the description of the embodiments of this application, "multiple" means two or more, "greater than", "less than", "exceeding" etc. are understood to exclude the number itself, and "above", "below", "within" etc. are understood to include the number itself.
[0057] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, or indirect coupling or communication connection between apparatuses or units, and may be electrical, mechanical, or other forms.
[0058] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of the embodiments of this application, depending on actual needs.
[0059] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.
[0060] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.
[0061] It should also be understood that the various implementation methods provided in this application can be combined arbitrarily to achieve different technical effects.
[0062] In the embodiments of this application, the terms "module" or "unit" refer to a computer program or part of a computer program that has a predetermined function and works with other related parts to achieve a predetermined goal, and can be implemented wholly or partially using software, hardware (such as processing circuitry or memory), or a combination thereof. Similarly, a processor (or multiple processors or memory) can be used to implement one or more modules or units. Furthermore, each module or unit can be part of an overall module or unit that includes the functionality of that module or unit.
[0063] The above is a detailed description of the embodiments of this application. However, this application is not limited to the above embodiments. Those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of this application. All such equivalent modifications or substitutions are included within the scope defined by the claims of this application.
Claims
1. A smart assessment method for orthopedic wounds, characterized in that, The method includes: acquiring initial information about a patient's wound, including the wound occurrence time, wound condition, and related information around the wound; classifying the wound according to the wound condition and related information around the wound to obtain the nature of the wound; analyzing the degree of tissue damage of the wound according to the wound condition, related information around the wound, and the nature of the wound to obtain a tissue damage analysis result; acquiring the color acquisition result of the wound, and determining the wound stage according to the color acquisition result, the wound occurrence time, and the nature of the wound; and generating an assessment report for the wound based on the nature of the wound, the tissue damage analysis result, and the wound stage.
2. The intelligent assessment method for orthopedic wounds according to claim 1, characterized in that, The wound condition includes wound size, wound location, and wound exudation status; the relevant information around the wound includes information about the basal tissue near the wound, information about the odor emitted by the wound, and information about the skin near the wound. The step of classifying the wound based on the wound condition and related information around the wound to obtain the nature of the wound includes: determining the first initial assessment information of the wound based on the wound size, the wound location, and the state of exudation at the wound. The second initial assessment information of the wound is determined based on the basal tissue information, the odor information, and the skin information; the wound is classified based on the first initial assessment information and the second initial assessment information to obtain the nature of the wound.
3. The intelligent assessment method for orthopedic wounds according to claim 2, characterized in that, The step of determining the first initial assessment information of the wound based on the wound size, the wound location, and the state of exudation at the wound includes: determining whether the wound belongs to a first size type wound or a second size type wound based on the wound size to obtain a first judgment result; determining whether the wound location belongs to the upper body or the lower body based on the wound location to obtain a second judgment result; determining the amount of fluid exuded at the wound based on the state of exudation at the wound; and determining the first initial assessment information based on the first judgment result, the second judgment result, and the amount of fluid exuded at the wound.
4. The intelligent assessment method for orthopedic wounds according to claim 3, characterized in that, The step of determining the second initial assessment information of the wound based on the basal tissue information, the odor information, and the skin information includes: determining the tissue type of the basal tissue information; determining the odor type corresponding to the odor information; determining the skin tissue corresponding to the skin information, and judging whether there is damage to the skin tissue near the wound based on the skin information to obtain a fourth judgment result; and determining the second initial assessment information based on the tissue type of the basal tissue information, the odor type corresponding to the odor information, the skin tissue corresponding to the skin information, and the fourth judgment result.
5. The intelligent assessment method for orthopedic wounds according to claim 4, characterized in that, The nature of the wound includes necrotic wounds and chronic wounds. The step of analyzing the degree of tissue damage of the wound based on the wound condition, relevant information around the wound, and the nature of the wound to obtain the tissue damage analysis result includes: if the wound is a necrotic wound, then the tissue damage analysis result is determined based on the wound size, the wound location, and the exudation state at the wound site; if the wound is a chronic wound, then the tissue damage degree of the wound is analyzed based on the wound size, the wound location, the exudation state at the wound site, the odor information, the skin information, and the nature of the wound to obtain the tissue damage analysis result.
6. The intelligent assessment method for orthopedic wounds according to claim 1, characterized in that, The step of determining the wound stage based on the color acquisition result, the wound occurrence time, and the nature of the wound includes: if the color acquisition result is black, and the time difference between the wound occurrence time and the current time is less than a preset time threshold, and the nature of the wound is a necrotic wound, then the wound stage is determined to be the necrosis stage or the initial inflammation stage; if the color acquisition result is yellow, and the nature of the wound is inflammatory exudation, then the wound stage is determined to be the intermediate inflammation stage; if the color acquisition result is red, and the nature of the wound is the granulation tissue growth stage, then the wound stage is determined to be the proliferative stage; if the color acquisition result is pink, and the nature of the wound is the epithelial formation stage, then the wound stage is determined to be the repair stage.
7. An intelligent assessment device for orthopedic wounds, characterized in that, The device includes: an acquisition unit for acquiring initial information about a patient's wound, including the wound occurrence time, wound condition, and related information around the wound; a classification unit for classifying the wound according to the wound condition and related information around the wound to determine the nature of the wound; an analysis unit for analyzing the degree of tissue damage of the wound according to the wound condition, related information around the wound, and the nature of the wound to obtain a tissue damage analysis result; a determination unit for acquiring color sampling results of the wound and determining the wound stage according to the color sampling results, the wound occurrence time, and the nature of the wound; and an evaluation unit for generating an evaluation report for the wound based on the nature of the wound, the tissue damage analysis result, and the wound stage.
8. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the intelligent assessment method for orthopedic wounds as described in any one of claims 1 to 6.
9. A computer program product, the computer program product comprising a computer program, characterized in that, The computer program is read and executed by the processor of the electronic device, causing the electronic device to perform the intelligent assessment method for orthopedic wounds as described in any one of claims 1 to 6.