CN116884604A - A skin safety management system - Google Patents

Abstract

The invention relates to the technical field of skin management. The invention discloses a skin safety management system, which includes a medical terminal and a patient terminal, an image database for storing skin image information, and an image database for storing dermatological touch data, temperature data, A supplementary database of pain data. The medical care terminal is provided with a collection unit for collecting images of hypochondriacal disease points. The number of disease point images collected by the collection unit is at least two images at different time stages. The image database is based on the initial The staged pathological images screen out suspected disease categories; they serve as a guide for treatment personnel in diagnosing diseases, and help novice doctors avoid misdiagnosis traps caused by high similarities in skin diseases. They can achieve a skin disease diagnosis based on staged picture collection and supplementary databases. One-time correction and multiple corrections of diagnosis improve the accuracy of guidance, and the application of this system enables good traceability in the entire skin treatment process, fully complying with the hospital's implementation standards.

Description

A skin safety management system

Technical field

The invention relates to the technical field of skin management, specifically a skin safety management system.

Background technique

First of all, because there are many types of skin diseases, many diseases have similar characteristics at different stages. For example, tumor leprosy, tuberculoid leprosy, and borderline leprosy are often easily misdiagnosed. Another example is the characteristic skin disease of molluscum contagiosum. The lesions are hemispherical, shiny papules with an umbilical depression in the center, which are easy to diagnose clinically. However, sometimes the lesions may have atypical manifestations due to extrusion, friction, irritation or secondary infection, and may resemble condyloma acuminata or sebaceous gland abnormalities. etc., and even form epidermal cyst-like lesions. At the same time, skin diseases will also undergo different changes at different stages. Therefore, the factors that affect the judgment of skin diseases mainly include excessive similarity of skin images under normal conditions, resulting in multiple identical types. Disease type, secondly, the risk of induction due to special changes in the skin surface caused by external factors, thirdly, due to the changes in different stages combined with the image similarity problem in the first item, which further affects the judgment. Due to the emergence of the above factors, As a result, novice doctors will make many mistakes when dealing with skin diseases, and these mistakes can easily lead to a deeper impact on patients or even irreversible damage. Therefore, the safe management of skin diseases is particularly important, although image processing combined with machine learning can It is very good at handling such diseases, but the method of distinguishing through one image will only produce a large number of similar disease classes, and the guidance effect is not good.

Contents of the invention

The purpose of the present invention is to provide a skin safety management system to solve the problems raised in the above background art.

In order to achieve the above objects, the present invention provides the following technical solutions:

A skin safety management system includes a medical end and a patient end, and also includes an image database for storing skin image information and a supplementary database for storing dermatology touch data, temperature data, and pain data;

The medical terminal is provided with a collection unit for collecting images of suspected disease points. The number of disease point images collected by the collection unit is at least two images at different time stages. The image database filters out suspected disease points based on the initial pathological images. In the disease category set, medical staff input skin disease touch data, temperature data, and pain data through the medical terminal. The supplementary database screens the input data within the same disease category as the suspected disease set, and determines the disease category for the first time. , and provide reference for treatment options;

When the medical and nursing terminal collects two or more images, the image database will combine and compare the two images, and further narrow the corresponding range in the suspected disease set, and perform secondary screening through the supplementary database. Secondarily determine the disease type and provide a reference for the treatment plan. During the treatment process, the treatment plan, stage images, touch data, temperature data, and pain data of the recovered cases are stored in the image database and the supplementary database for supplementary data. set.

As a further solution of the present invention: the image database is a part database differentiated according to parts, the part database stores different disease image information of corresponding parts, and the image information of the same disease type has disease stage image databases of different stages. .

As a further solution of the present invention: the images in the disease stage image library are divided into a normal disease stage picture group and an abnormal disease stage image group, and the normal disease stage picture group represents the normal development of the disease. Multi-stage images, the abnormal disease stage image group is a multi-stage image of the disease under the influence of behavior, environment and treatment.

As a further solution of the present invention: the treatment plan is divided into a doctor-side treatment plan and a patient-side care plan, and the patient-side has the authority to directly query the patient-side care plan.

As a further solution of the present invention: the patient terminal has a unique patient information image stored therein. In the non-initial treatment stage, the acquisition unit first collects the unique patient information image on the patient terminal to obtain the patient's identity. , and the medical care terminal records the query time.

As a further solution of the present invention: the time of the disease point images collected by the acquisition unit is recorded, and the image acquisition time is used as a screening reference tag for the image database and the supplementary database.

Compared with the prior art, the beneficial effects of the present invention are:

The invention solves the analysis problem of applying skin diseases in the image processing data analysis system, plays a guiding role in the diagnosis of diseases by treatment personnel, assists novice doctors to avoid the misdiagnosis trap caused by high similarity of skin diseases, and based on the stage Picture collection and supplementary database realize one correction and multiple corrections of a skin disease diagnosis, improve the accuracy of guidance, and supplement the database multiple times based on successful treatment plan data, making the application effect of the entire system better and better, and When this system is used in most hospitals across the country, it uses the cloud platform combined with the network to quickly supplement the system database. The application of this system enables good traceability throughout the skin treatment process and fully complies with the hospital's execution standards. After adding a large amount of data, the guidance treatment plan provided is simpler and more effective. At the same time, risk issues during the treatment process are also collected, thereby reminding doctors of matters needing attention, which can improve the accuracy of judgment of skin diseases that are prone to misdiagnosis and reduce the risk of misdiagnosis. Causes the problem of delaying the optimal treatment period.

Description of the drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments or prior art will be briefly introduced below. Obviously, the drawings in the following description are only illustrative of the present invention. For some embodiments, for those of ordinary skill in the art, other drawings can be obtained based on these drawings without exerting creative efforts.

Figure 1 is a schematic diagram of a skin safety management system;

Figure 2 is a composition diagram of the image database in a skin safety management system;

Figure 3 is a schematic diagram of disease judgment of a skin safety management system;

Figure 4 is a schematic diagram of the composition of the disease stage image library in a skin safety management system;

In the picture: 100, medical terminal; 101, acquisition unit; 200, image database; 201, part database; 202, disease stage image database; 2021, normal disease stage image group; 2022, abnormal disease stage image group ; 203. Suspected disease category collection; 300. Supplementary database; 400. Patient side.

Detailed ways

Please refer to Figure 1-Figure 4:

It includes a medical terminal 100 and a patient terminal 400, and also includes an image database 200 for storing skin image information and a supplementary database 300 for storing dermatology touch data, temperature data, and pain data;

The medical care terminal 100 is provided with a collection unit 101 for collecting images of suspected disease points. The number of disease point images collected by the collection unit 101 is at least two images at different time stages. The image database 200 filters out suspected disease types based on the initial pathological images. In Set 203, medical staff input skin disease touch data, temperature data, and pain data through the medical care terminal 100. The supplementary database 300 screens the input data within the same disease range as the suspected disease set 203, determines the disease category for the first time, and provides treatment. Program reference;

When the medical care terminal 100 collects two or more images, the image database 200 combines and compares the two images, further narrows the corresponding range in the suspected disease class set 203, and performs secondary screening through the supplementary database 300 to determine the disease for the second time. category, and provide treatment plan reference. During the treatment process, the treatment plan, stage images, touch data, temperature data, and pain data of the recovered cases are stored in the image database 200 and the supplementary database 300 for supplementing the data set;

The image database 200 is a part database 201 differentiated according to parts. The part database 201 stores different disease image information of corresponding parts. Image information of the same disease type has different stages of disease stage image database 202;

The images in the disease stage image database 202 are divided into a normal disease stage picture group 2021 and an abnormal disease stage image group 2022. The normal disease stage picture group 2021 is a multi-stage image of the normal development of the disease, and the abnormal disease stage picture group 2021 is a multi-stage image of the normal development of the disease. The stage image group 2022 is a multi-stage image of the disease under the influence of behavior, environment and treatment;

In this embodiment: First, if you want to improve the accuracy of skin disease judgment, you need to establish a complete database based on the actual situation. The database needs to have a combination of images and numerical judgments, and due to the emergence of similar conditions, single image comparison This method can easily lead to a large number of judgment results.

Therefore, we first improve the embodiment by combining the location of the skin disease and the induction problems caused by environmental influences.

First refer to Figure 2. Since many skin diseases will be located in multiple parts of the body, they will spread from point to surface. For example, when they appear from the armpits, crotch, and arms and spread to the whole body, the arms will be exposed to a dry and open environment for a long time. Compared with Under ventilated, humid and humid environments such as armpits and crotch, the images of the diseased end are inconsistent. Therefore, the image database 200 is provided with multiple part databases 201 according to parts. The part database 201 establishes an independent database for the same disease category in the form of parts. Therefore, When the medical care terminal 100 collects images through the acquisition unit 101, it selects the part so that the image label corresponds to the part, and then transmits it to the processing terminal through the network, and uses the image database 200 to compare and search the disease images in the combined part. It can reduce the amount of data to a certain extent, and at the same time, it can avoid changes in the surface of the patient due to location, leading to conclusions being drawn.

Improved examples based on staged problems of skin diseases

In order to further screen the images when the surface image manifestations of skin diseases have many similarities, a staged image processing method is adopted to further determine the processing effect. Assuming condition A, the A1 feature is obtained during the initial image collection. , since many patients cannot accurately tell the initial state or onset time, the development cycle of the disease is not clear. However, both B condition and C condition have A1 characteristics at different stages. At this time, the judgment results obtained by image comparison are used. There are three types of diseases: A, B, and C. However, if the A1 feature is collected for the first time, in the second stage, the image collects the A2 feature. At this time, the A1 feature and the A2 feature have a collection order, so the disease type can be further narrowed down based on the collection order. Range, only in rare cases where the similarity is too high, multiple options will appear.

Embodiment of initial judgment for stage cycle issues in practical applications

Firstly, the problem that the first collected image when the patient first enters the hospital cannot accurately determine the stage of the disease needs to be solved. When collecting for the first time, the supplementary database 300 is used to supplement the image database 200 a second time. First, the supplementary database 300 internally stores the Other reference data corresponding to the image database 200 include touch data, pain data, and temperature data. Touch data is mainly limited by hardness, softness, or internal fluid accumulation. Pain data records pain intensity and pain sensation based on pain tables or inquiries. Type, the temperature data mainly records the skin temperature of the diseased area. Therefore, in the initial diagnosis, due to the inability to judge the disease stage of the image, there is a problem that there are many reserved disease items in the suspected disease category set 203. In the suspected disease category set 203 Within the scope of internal diseases, a secondary search is performed through the supplementary database 300 to further narrow the scope of diseases. With subsequent image collection, based on the sequential screening of the above features, the disease categories can be narrowed down to the smallest or even unique one.

Example of abnormal morphology judgment for skin diseases

First of all, skin diseases will bring some adverse reactions, such as itching, burning pain, or due to position problems, friction on the inner thigh, causing changes in the skin surface. In the case of scratching and friction, it is likely to cause image changes and misjudgment. , therefore, the normal disease stage image group 2021 and the abnormal disease stage image group 2022 are set in the disease stage image library 202. The normal disease stage picture group 2021 stores images of normal shapes and abnormal disease stage images. Image group 2022 stores abnormal state images. Abnormal state images are divided into behavioral abnormalities, such as scratching and rubbing. Treatment abnormal states are images after using drugs. This is mainly to avoid image changes caused by drug use during subsequent treatment. misjudgments, and environmental abnormalities are mainly due to location, such as humidity problems in sweaty areas. After carefully classifying the pictures, the application effect of the system is getting better and better.

Post-application examples of the system

When the system is applied in the early stage, since most of the data sets in the image database 200 and the supplementary database 300 rely on the Internet or public databases, the effect of providing references for such skin diseases will be low in the early stage. However, as the system is implemented, While ensuring the traceability of disease treatment, the data of skin diseases after treatment is stored, thereby continuously replenishing the image database 200 and the supplementary database 300, and precautions and risk data during the treatment process can also be stored. Under the influence of this method, the treatment data of senior doctors are continuously supplemented to the system, thus playing a directional role in making treatment plan decisions for new doctors when using the system.

The treatment plan is divided into a doctor-side treatment plan and a patient-side care plan. The patient-side 400 has the authority to directly query the patient-side care plan;

First of all, during the treatment process, various types of treatment plans will be generated. During the treatment process, there will be a large number of problems that need to be paid attention to during the treatment process. The patient-side care plan for such treatment problems can be determined by the patient-side 400 for review, while other details of the treatment plan are primarily for review by the physician.

The patient terminal 400 stores unique patient information images. In the non-initial treatment stage, the collection unit 101 first collects the unique patient information images on the patient terminal 400 to obtain the patient's identity, and the medical care terminal 100 records the query time;

The patient information image can be set up on the patient terminal 400 in the form of a QR code, and the QR code is scanned by the collection unit 101 to obtain the patient information. At this time, the ward image collected by the collection unit 101 is stored in the patient In the archive, at the same time, the medical terminal 100 records the ward round time when the doctor goes to the ward. The ward round time can record the ward round data, so it only needs to record the time when the medical terminal 100 queries the image on the patient terminal 400.

The time of the disease point images collected by the collection unit 101 is recorded, and the image collection time is used as a filtering reference tag for the image database 200 and the supplementary database 300 .

The time when the collection unit 101 collects disease points has a certain influence. For example, skin diseases may appear in different forms at night, morning, noon, etc. At this time, the recorded time can be used as a basis for judging the stage of disease development. , and at the same time, you can also select the images within that time for data analysis and comparison based on time.

The above are only preferred specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person familiar with the technical field can, within the technical scope disclosed in the present invention, use the technology of the present invention. Any equivalent substitution or change of the scheme and its inventive concept shall be covered by the protection scope of the present invention.

Claims (6)

1. A skin safety management system, including: a medical terminal (100) and a patient terminal (400), characterized in that: it also includes an image database (200) for storing skin image information and a skin disease touch data , Supplementary database of temperature data and pain data (300); The medical care end (100) is provided with a collection unit (101) for collecting images of hypochondriacal disease points. The number of disease point images collected by the collection unit (101) is at least two images at different time stages. The images The database (200) selects the suspected disease category set (203) based on the initial pathological images, and the medical staff inputs the skin disease touch data, temperature data, and pain data through the medical care terminal (100). The supplementary database (300) is based on The input data is screened within the same disease category as the suspected disease category set (203), the disease category is determined for the first time, and a treatment plan reference is provided; When the medical care terminal (100) collects two or more images, the image database (200) combines and compares the two images and further narrows the corresponding range in the suspected disease class set (203). The supplementary database (300) performs secondary screening, determines disease types twice, and provides reference for treatment plans. During the treatment process, treatment plans, stage images, touch data, temperature data, and pain data of recovered cases are stored in the images. Within the database (200) and within the supplementary database (300) for supplementary data sets. 2. A skin safety management system according to claim 1, characterized in that: the image database (200) has a part database (201) differentiated according to parts, and the part database (201) stores the corresponding parts. Image information of different disease types and image information of the same disease type have disease stage image libraries (202) of different stages. 3. A skin safety management system according to claim 2, characterized in that: the images in the disease stage image database (202) are divided into normal disease stage picture groups (2021) and abnormal disease stage pictures. Image group (2022), the normal disease stage picture group (2021) is a multi-stage image of the normal development of the disease, and the abnormal disease stage image group (2022) is a disease affected by behavior and environment. ,Multi-stage images under the influence of treatment. 4. A skin safety management system according to claim 1, characterized in that: the treatment plan is divided into a doctor-side treatment plan and a patient-side care plan, and the patient end (400) has the ability to directly query the patient-side care plan. permission. 5. A skin safety management system according to claim 1, characterized in that: the patient end (400) is equipped with a unique patient information image to store, and in the non-initial treatment stage, the acquisition unit (101) First, the unique patient information image on the patient terminal (400) is collected, the patient's identity is obtained, and the query time is recorded by the medical care terminal (100). 6. A skin safety management system according to claim 1, characterized in that: the disease point image time collected by the acquisition unit (101) is recorded, and the image acquisition time is used as the image database (200), Filter reference tags for the supplementary database (300).