KR20180079932A - System and method for analyzing examination reports using user terminal, recording medium for performing the method - Google Patents

Abstract

Disclosed are a user terminal-based examination report analysis system and a method thereof. According to the present invention, the user terminal-based examination report analysis system is to analyze medical terms in a medical examination report by using a user terminal. The system includes an imaging unit imaging the medical examination report and generating image data, an analysis unit recognizing characters included in the image data and discriminatively extracting medical terms from the recognized characters, a search unit searching for annotation information corresponding to the medical terms, and a processing unit converting the image data into image data reflecting the annotation information.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to a system and method for analyzing a result of a medical examination using a user terminal, and a recording medium for performing the same.

The present invention relates to a system and method for analyzing a test result using a user terminal and a recording medium for performing the test. More particularly, the present invention relates to a system and method for analyzing a test result, A system and method for analyzing a result of a check result using a user terminal, and a recording medium for performing the method.

Recently, the health checkup rate of health insurance subscribers exceeds 74.75%, and early detection of the disease is done, but it is very difficult for an individual to interpret the result of the examination without going through the medical person. This is due to the fact that the examination results are written in specialized medical terminology.

Medical terminology, also called medical terminology, refers to professional terminology used throughout the medical field. Medical terminology is often mixed with English, Latin, German, Korean, and Chinese characters, and idiomatic abbreviations are also a large part. These medical terms are not readily accessible unless they are professionally trained in the medical field or engaged in a medical profession.

In other words, a large number of ordinary people who are not familiar with medical terminology have difficulty in interpreting the medical terminology described in the result of examination, and it is inconvenient to analyze the result of the examination through professional medical personnel.

Accordingly, there is a growing need for a technique that can translate the medical terminology used only in the hospital into an easy-to-understand translation for the majority of people, and to analyze the results of the medical check-ups on an individual basis.

Korean Patent No. 10-1561242 Korean Patent No. 10-0781210

According to an aspect of the present invention, there is provided a system and method for analyzing a result of a medical examination using a user terminal capable of automatically analyzing a medical term by using an analog form, .

The technical problem of the present invention is not limited to the technical problems mentioned above, and other technical problems which are not mentioned can be understood by those skilled in the art from the following description.

A system for analyzing a medical examination result using a user terminal according to an exemplary embodiment of the present invention is a system for analyzing a medical term of a medical examination result using a user terminal, An analyzing unit that recognizes characters included in the image data and extracts a medical term among the recognized plurality of characters; a search unit that searches for annotation information corresponding to the medical term; Into image data that reflects the image data.

The processing unit displays a predetermined area including the medical term so as to be distinguished from other areas and connects the user terminal to a specific web page storing the annotation information when it is confirmed that the predetermined area is selected by the input signal of the user Can be controlled.

Wherein the processing unit collects annotation information for each medical term in the image data to generate an area including the annotation information and converts the predetermined area including the medical term into an area including the annotation information To the image data reflecting the annotation information.

And a database unit for accumulating and storing the image data.

Further comprising a diagnostic unit for analyzing the accumulated image data and diagnosing a user's health condition, wherein the diagnosis unit calculates a risk index according to a variation amount by analyzing a trend of a change in a test result value for a specific test item of the image data And if it is confirmed that the risk index exceeds a preset reference value, a notification message suspecting a disease related to the examination item may be transmitted to the user terminal.

The analyzing unit may extract characters or symbols representing identification information of the examinee from among the recognized plurality of characters, and the database unit may classify and store the image data for each user using the identification information.

The diagnosis unit periodically collects the location information of the user terminal and, when it is determined that the risk index exceeds a preset reference value, treats the disease associated with the examination item located within a predetermined radius based on the location information Search for a hospital, and transmit search results to the user terminal.

The diagnosis unit may calculate a past average value of the examination result value from the cumulative stored image data and calculate a variation amount by comparing the current examination result value included in the generated image data with the past average value.

The analyzer may calculate a derivative value by differentiating a pattern of characters constituting the image data, and compare the calculated derivative value with previously stored pattern information to recognize the character.

A method for analyzing a medical examination result using a user terminal according to an exemplary embodiment of the present invention includes analyzing a medical term of a medical examination result using a user terminal, A step of recognizing a word from characters constituting the image data and extracting a word corresponding to a medical term among a plurality of recognized words and extracting the extracted word; Retrieving annotation information, and converting the image data into image data reflecting the annotation information.

Accumulating and storing the image data, and analyzing the accumulated image data to diagnose a user's health condition.

The step of diagnosing the health condition of the user may include the steps of calculating a risk index according to a variation amount by analyzing a trend of a change in a test result value for a specific test item of the image data, And transmitting a notification message to the user terminal suspected of having a disease related to the examination item.

The step of diagnosing the health state of the user may include periodically collecting the location information of the user terminal and, if it is determined that the risk index exceeds a preset reference value, Searching for a hospital for treating a disease associated with the examination item, and transmitting the search result to the user terminal.

Wherein the step of converting the image data into image data reflecting the annotation information comprises the steps of: collecting annotation information for each medical term in the image data to generate an area including the annotation information; Converting the included region into the region including the annotation information and converting the region into the image data reflecting the annotation information.

In addition, a computer readable recording medium on which a computer program is recorded, for providing a system and method for analyzing a result of a medical examination using a user terminal.

According to one aspect of the present invention, the general user can understand the medical terminology through the examination result sheet reflecting the annotation information, and the history of the examination result is analyzed by accumulating and storing the result of the examination result, Reliable diagnosis can be made.

FIG. 1 is a diagram showing a schematic configuration of a system for analyzing a test result using a user terminal according to an embodiment of the present invention.
FIGS. 2 to 4 are views showing embodiments according to specific functions of the processing unit of FIG. 1. FIG.
FIG. 5 is a flowchart illustrating a method of analyzing a test result using a user terminal according to an exemplary embodiment of the present invention. Referring to FIG.

The following detailed description of the invention refers to the accompanying drawings, which illustrate, by way of illustration, specific embodiments in which the invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the invention. It should be understood that the various embodiments of the present invention are different, but need not be mutually exclusive. For example, certain features, structures, and characteristics described herein may be implemented in other embodiments without departing from the spirit and scope of the invention in connection with an embodiment. It is also to be understood that the position or arrangement of the individual components within each disclosed embodiment may be varied without departing from the spirit and scope of the invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is to be limited only by the appended claims, along with the full scope of equivalents to which such claims are entitled, if properly explained. In the drawings, like reference numerals refer to the same or similar functions throughout the several views.

Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the drawings.

FIG. 1 is a block diagram showing a schematic configuration of a system for analyzing the results of a medical examination using a user terminal according to an embodiment of the present invention.

Specifically, the examination result site analysis system 1000 using the user terminal according to the present embodiment includes a photographing unit 10, an analysis unit 20, a search unit 30, a processing unit 40, and a diagnosis unit 50 . In addition, the system 1000 for analyzing the detection result using the user terminal according to an embodiment of the present invention can be implemented in the user terminal 1. [

The user terminal 1 may be a computer device used by a user. For example, the user terminal 1 may be a smart phone, but is not limited thereto. Another example of the user terminal 1 may be in the form of a mobile terminal such as a tablet PC, a notebook, a wearable device, or a fixed terminal such as a desktop.

The photographing section 10 can photograph the result of medical examination and generate image data. In this specification, the term "examination results" refers to a paper type recording paper issued by a medical institution such as a hospital, a pharmacy, etc., such as a prescription for a patient, a medical record, and a medical examination result for the examinee.

The photographing unit 10 may be provided with a photographing unit capable of photographing a result of the examination such as a camera module so that the computing device can recognize the medical record recorded on the paper. May be a means for digitizing the paper.

When the user terminal 1 is a smart phone, such a photographing unit can perform the function of the photographing unit 10 by a camera module provided in the manufacture of the smart phone. When the user terminal 1 is a desktop PC, the photographing unit 10 may be a separate photographing unit linked with the desktop. For example, the user may replace the function of the photographing unit 10 by photographing the examination result output in paper form using a digital camera, generating image data, and transmitting the image data to the desktop PC.

The analysis unit 20 can recognize the characters included in the generated image data. The analysis unit 20 may differentiate the words classified in the medical term to calculate the derivative value, and convert the separated word into digital data using the calculated derivative value. Specifically, the analyzer 20 recognizes the character pattern constituting the examination result sheet converted into the image data, and differentiates the recognized pattern. The analyzer 20 may compare the differential value calculated by differentiating the previously stored pattern information with the pattern value or the pattern value to identify the recognized character pattern.

In addition, the analyzer 20 can recognize characters from the image data using any of various known character recognition apparatuses or character recognition techniques. Since the method of recognizing characters from image data is a known technique, a detailed process of the character recognition method of the analysis unit 20 will be omitted.

As described above, the analysis unit 20 can extract a word or a sentence corresponding to a medical term out of a plurality of recognized characters. Specifically, the analysis unit 20 can recognize words constituting the medical examination result page converted into image data based on the recognized plurality of characters. The analysis unit 20 compares the recognized specific word with a list of previously stored medical terms and, if the medical term coincides with any medical term included in the medical term list stored with a specific word, the analysis unit 20 can classify the word into medical term.

The retrieval unit 30 can retrieve annotation information corresponding to the separated medical term.

Annotation information may be information that includes an interpretation or a specific description of a specific medical term so that a general user, who is a non-specialist in the medical field, can understand the medical term described in the examination result.

The search unit 30 can search annotation information in various ways. For example, the searching unit 30 can search for annotation information on specific medical terms separated by communicating with a database unit (not shown) storing a plurality of annotation information. The database unit (not shown) may be provided in the user terminal 1, so that the search unit 30 can internally search the annotation information corresponding to the medical term.

As another example, the search unit 30 may search annotation information by communicating with an external server interlocked with the examination result site analysis system 1000 using the user terminal 1 according to the present embodiment.

The processing unit 40 can reflect the annotation information in the examination result sheet. The processing unit 40 can reflect the annotation information in the image data generated by the photographing unit 10 so that the general user who is a non-medical person can understand the examination result sheet made up of medical terms, which are technical terms.

Specifically, the processing unit 40 may extract a predetermined area including the medical term constituting the image data, and display the extracted predetermined area so as to be distinguished from other areas. For example, the processing unit 40 may assign a predetermined background color to an area including the medical term so that the area including the medical term is distinguished from other areas not including the medical term. Thereafter, when it is confirmed that the area containing the medical term is selected by the user, the processing unit 40 can control to display the annotation information on the screen of the user terminal 1. Specific functions of the processing unit 40 will be described later with reference to Figs. 2 to 4. Fig.

The diagnosis unit 50 can diagnose the health state of the user by analyzing the examination result sheet. The diagnosis unit 50 can analyze the accumulated image data and diagnose the user's health condition. That is, the diagnosis unit 50 can calculate the risk index for the current result value by analyzing the trend of the change in the result value for the specific test item.

For example, the diagnosis unit 50 may extract data related to the blood pressure among a plurality of image data accumulated and stored. The diagnosis unit 50 can calculate the risk index according to the currently diagnosed blood pressure according to the fluctuation of the blood pressure data. A user with a high blood pressure continuously from a specific past may be in a relatively less dangerous state even if the measured blood pressure is somewhat higher. However, if the blood pressure data of the past is normal but the current blood pressure is abnormally raised, It can be said that

For this, the diagnosis unit 50 may calculate the risk index for the image data generated at the present time point by referring to the history of the image data, that is, the result of the examination result. For example, the risk index can be set to a range from 1 to 100, and in the above-described embodiment, when the blood pressure is continuously high, the risk index can be calculated to be 70 for the currently measured higher blood pressure . On the other hand, when the blood pressure measured at the current time in the above embodiment is rapidly increased compared to the blood pressures measured in the past, the risk index can be calculated to be 90. [ Therefore, the user can refer to the calculated risk index and easily grasp the health condition for each item of the examination result sheet.

Specifically, the diagnostic unit 50 calculates a change amount of a result value by analyzing a change in a result of a test item related to a specific disease, and when the risk index according to the calculated change amount is equal to or greater than a preset reference value, ) Can send a notification that a particular disease may be suspected. At this time, the diagnosis unit 50 may calculate the past average value of the examination result values from the accumulated image data, and compare the current examination result values included in the image data generated at the present time point with the past average value. The diagnosis unit 50 can calculate the change amount (variation amount) of the examination result value by comparing the past average value and the current examination result value.

The diagnosis unit 50 collects the location information from the user terminal 1, and if it is determined that the specific disease is suspected, the diagnosis unit 50 may search for a nearby hospital treating a suspected specific disease and transmit the search to the user terminal 1 . The diagnosis unit 50 periodically collects the location information of the user terminal and, when it is determined that the risk index exceeds the preset reference value, searches the hospital located within a predetermined radius based on the current location information of the user terminal 1 can do. At this time, the diagnosis unit 50 may perform a filtering process so that only the hospitals related to the screening items whose risk index exceeds the reference value among the plurality of searched hospitals are displayed.

For this purpose, the analyzer 20 can extract the symbols related to the user's personal information from among the characters constituting the image data. The analyzer 20 may classify the image data generated by dividing the symbols related to the personal information into users.

Meanwhile, although not shown, the examination result analysis system 1000 using the user terminal according to the present invention may further include a database unit. The database unit can manage the above-described medical term list, annotation information list, and generated image data. The database unit communicates with the analysis unit 20, the search unit 30, the processing unit 40 and the diagnosis unit 50 to provide data required in each configuration or to receive and store data generated from each configuration .

Referring to Figs. 2 to 4, embodiments of specific functions of the processing unit 40 of Fig. 1 are shown. As described above, the processing unit 40 can convert the image data so that the annotation information for each medical term is reflected in the image data of the examination result sheet in which the medical term is described.

Referring to FIG. 2, the processing unit 40 may use the following method to display annotation information on the screen of the user terminal 1.

First, as shown in FIG. 2A, when the processing unit 40 determines that the area 45 including the medical term is selected, the processing unit 40 determines whether the user terminal 1, Can be controlled so that the web page storing the annotation information corresponding to the selected medical term is displayed. In this case, the screen of the user terminal 1 can be moved to the corresponding web page from the image data of the examination result.

Alternatively, as shown in FIG. 3, the processing unit 40 can control to display the annotation information on the image data if it is confirmed that the area 45 including the medical term is selected. Specifically, the processing unit 40 can create a new area 46 containing annotation information and a new area 46 created around the area 45 containing the medical term on the image data. As a result, the processing unit 40 can control to display the image data displayed on the screen of the user terminal 1 by adding the region 46 including the annotation information.

When it is confirmed that the medical term contained in the image data displayed on the user terminal 1 is selected by the user, the processing unit 40 transmits the annotation information, which is interpretation or explanatory information on the selected medical term, to the user terminal 1 ).

In some other embodiments, as shown in FIG. 4, the processing unit 40 may provide image data that reflects annotation information in another manner.

The processing unit 40 may convert the image data generated by the photographing unit 10 into image data reflecting the annotation information. As shown in FIG. 4 (a), when the user shoots the examination result sheet including the medical term, the processing unit 40, as shown in FIG. 4 (b) The annotation information can be converted into image data and output. Therefore, the user can be provided with the interpreted examination result sheet so that the user can understand the medical term simply by shooting the examination result paper instead of selecting the medical term and obtaining the annotation information. At this time, if the processing unit 40 receives the input information of the user and is confirmed to have selected the area converted into the annotation information, the medical term before conversion can be controlled to be displayed.

Referring to FIG. 5, a schematic flow of a method of analyzing a test result using a user terminal 1 according to an embodiment of the present invention is shown.

First, image data can be generated by photographing a medical examination result sheet (110). At this stage, the user can photograph the result of the examination using the user terminal 1. [ When the user terminal 1 is a mobile terminal such as a smart phone, the examination result sheet can be photographed using a camera module built in the smart phone. Since the case where the user terminal 1 has a different form has already been described above, a specific example will be omitted.

The analysis unit 20 implemented in the user terminal 1 recognizes a word from the characters constituting the generated image data and extracts a word corresponding to the medical term among the plurality of recognized words 120). For this purpose, the analyzer 20 can recognize a word by a pattern recognition method. Specifically, the analysis unit 20 calculates a differential value by differentiating a shape pattern of characters, and outputs the calculated differential value to a word Can be recognized.

Also, the analyzer 20 can distinguish words corresponding to the medical term from a plurality of words constituting the examination result sheet by comparing the recognized word with a list of previously stored medical terms.

Next, the search unit 30 implemented in the user terminal 1 can search for annotation information corresponding to the medical term (130). The search unit 30 may search for annotation information stored in the user terminal 1 itself or search for an external server linked with the search unit 30 to search for and match annotation information corresponding to each medical term .

The user terminal 1 may convert the image data generated by the photographing unit into image data reflecting the annotation information (140).

To this end, the processing unit 40 implemented in the user terminal 1 may collect the medical terminology classified by the analysis unit 20. [ The processing unit 40 may display a predetermined area including the medical terminology so as to be distinguished from other areas. In this manner, the processing unit 40 generates a separate area for each medical term in the image data, can do.

After receiving the selection signal for the specific area including the medical term from the user, the processing unit 40 can control the annotation information for the selected medical term to be displayed on the screen of the user terminal 1. [ The method for controlling the processing unit 40 to display the annotation information for the selected medical term on the screen of the user terminal 1 may include connecting to a specific web page storing annotation information corresponding to the selected medical term, And annotation information can be displayed on the screen.

In some other embodiments, the processing unit 40 may provide annotation information in other manners, rather than separately displaying regions for medical terms present in the image data.

Specifically, the processing unit 40 may collect annotation information for each medical term retrieved by the retrieval unit 30. [ The processing unit 40 may generate a new area including annotation information. The processing unit 40 can convert a predetermined area including the medical term into the area where the annotation information is displayed. Accordingly, the user can be provided with the examination result sheet in which the medical term is automatically interpreted.

On the other hand, the user terminal 1 can diagnose the health state of the user using the image data converted according to the steps described above by the medical examination result site (150). Specifically, the diagnosis unit 50 implemented in the user terminal 1 can analyze the cumulative stored image data to diagnose the user's health condition. That is, the diagnosis unit 50 can calculate the risk index for the current result value by analyzing the trend of the change in the result value for the specific test item.

Such a technique for providing a system and method for analyzing a result of a screening using a user terminal may be implemented in an application or may be implemented in the form of program instructions that can be executed through various computer components and recorded in a computer-readable recording medium . The computer-readable recording medium may include program commands, data files, data structures, and the like, alone or in combination.

The program instructions recorded on the computer-readable recording medium may be ones that are specially designed and configured for the present invention and are known and available to those skilled in the art of computer software.

Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape, optical recording media such as CD-ROMs and DVDs, magneto-optical media such as floptical disks, media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like.

Examples of program instructions include machine language code such as those generated by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware device may be configured to operate as one or more software modules for performing the processing according to the present invention, and vice versa.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it will be understood by those skilled in the art that various changes and modifications may be made therein without departing from the spirit and scope of the invention as defined in the appended claims. It will be possible.

1: User terminal
10:
20: Analytical Department
30:
40:
50:

Claims (15)

A system for analyzing a medical term of a medical examination result using a user terminal,
A photographing unit photographing the medical checkup result and generating image data;
An analyzing unit that recognizes characters included in the image data and extracts medical terms among the recognized plurality of characters;
A retrieval unit for retrieving annotation information corresponding to the medical term; And
And a processor for converting the image data into image data reflecting the annotation information. The method according to claim 1,
Wherein,
Wherein the medical term is displayed such that a predetermined area including the medical term is distinguished from other areas,
And controls to connect the user terminal to a specific web page storing the annotation information if it is confirmed that the predetermined region is selected by an input signal of the user.
The method according to claim 1,
Wherein,
Collecting annotation information for each medical term in the image data, creating an area including the annotation information,
Converting the predetermined region including the medical term into an area including the annotation information and converting the annotation information into image data reflecting the annotation information.
The method according to claim 1,
Further comprising: a database unit for accumulating and storing the image data.
5. The method of claim 4,
Further comprising a diagnosis unit for analyzing the accumulated image data to diagnose a user's health condition,
Wherein the diagnosis unit comprises:
A risk index according to the variation amount is calculated by analyzing a variation trend of the examination result value with respect to the specific examination item of the image data,
And transmits a notification message suspected of having a disease related to the examination item to the user terminal if it is confirmed that the risk index exceeds a preset reference value.
6. The method of claim 5,
Wherein the analyzing unit classifies and extracts a character or a symbol representing the identification information of the examinee from among the plurality of recognized characters,
Wherein the database unit classifies and stores the image data for each user using the identification information.
6. The method of claim 5,
Wherein the diagnosis unit comprises:
Periodically collecting location information of the user terminal,
And searching for a hospital for treating a disease associated with the examination item located within a predetermined radius based on the positional information and transmitting the search result to the user terminal if it is confirmed that the risk index exceeds a preset reference value, A system for analyzing the results of screening using terminals.
6. The method of claim 5,
Wherein the diagnosis unit comprises:
Calculating a past average value of the examination result values from the cumulative stored image data, and calculating a variation amount by comparing the current examination result value included in the generated image data with the past average value.
The method according to claim 1,
The analyzing unit,
Wherein the discriminating unit discriminates a pattern of characters constituting the image data to calculate a differential value, and compares the calculated differential value with previously stored pattern information to recognize a character.
A method for analyzing a medical term of a medical examination result using a user terminal,
A step of photographing the medical examination result using the photographing apparatus provided in the user terminal and generating image data;
Recognizing a word from the characters constituting the image data and extracting a word corresponding to a medical term among a plurality of recognized words;
Retrieving annotation information corresponding to the medical term; And
And converting the image data into image data reflecting the annotation information.
11. The method of claim 10,
Accumulating and storing the image data; And
Further comprising analyzing the accumulated image data to diagnose a health condition of the user.
12. The method of claim 11,
The step of diagnosing the health condition of the user comprises:
Calculating a risk index according to a change amount by analyzing a change trend of a test result value for a specific test item of the image data; And
And transmitting to the user terminal a notification message suspected of having a disease associated with the examination item if the risk index is found to exceed a preset reference value.
13. The method of claim 12,
The step of diagnosing the health condition of the user comprises:
Periodically collecting location information of the user terminal; And
Searching a hospital for treating a disease associated with the examination item located within a predetermined radius based on the positional information and transmitting the search result to the user terminal if it is determined that the risk index exceeds a preset reference value Further comprising the step of analyzing the result of the examination result using the user terminal.
11. The method of claim 10,
Wherein the step of converting the image data into image data reflecting the annotation information comprises:
Collecting annotation information for each medical term in the image data and creating an area including the annotation information; And
Converting the predetermined area including the medical term into an area including the annotation information, and converting the annotation information into image data reflecting the annotation information.
A computer-readable recording medium having recorded thereon a computer program for providing a system and method for analyzing a result of a medical examination using a user terminal according to any one of claims 1 to 14.

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