Method and device for providing menu related to patient information, and recording medium

Abstract

Disclosed are a method, a device for executing the method, and a recording medium, the method comprising steps in which: a receiving unit acquires, on the basis of a screen provided in response to execution of a patient information management program, a captured image including patient information; a processor determines required items for interworking-required information required for identifying a patient in an image program; the processor determines a required area which corresponds to the required items with respect to the captured image, and in which the interworking-required information is expected to be provided; the processor acquires image analysis information according to image analysis being performed in the required area; and a display provides a response request menu used to receive a response about whether the image analysis information is appropriate.

Description

Method, device and recording medium for providing menus related to patient information

[0001] The present disclosure relates to a technology that enables a patient information management program to be linked with an imaging program as it is run.

[0002] Recently, the amount of information that hospitals and other medical institutions must handle and process has rapidly increased, leading to the widespread adoption of information and communication technologies. For example, traditional paper medical charts are rapidly being replaced by electronic medical records (EMRs). Practice Management Systems (PMSs) have already become commercially available, enabling the creation, storage, interpretation, and utilization of all medical information, including electronic charts, administrative tasks, and digital medical image data. PMSs facilitate efficient patient management through various functions, such as patient scheduling, insurance claims, and chart management. Currently, most hospitals use PMSs. As these systems have become essential, various companies have developed their own PMSs, leading to limitations in program compatibility and connectivity. Imaging equipment such as CT scans require their own imaging programs to store patient images, most of which include viewer functionality. However, the patient information stored in PMSs is not linked to the imaging equipment's imaging program, requiring manual entry of patient information into each program. Therefore, there is a need for a technology for providing patient information in an image program to solve the above-described problems.

[0003] One embodiment of the present disclosure is intended to solve the problems of the above-mentioned conventional technology, and to provide a method, device, and recording medium that enable providing patient information through linkage between an imaging equipment program and a PMS.

[0004] The technical problems to be solved are not limited to the technical problems described above, and may further include various technical problems within a scope obvious to a person skilled in the art.

[0005] A method for providing a menu related to patient information by a device according to a first aspect of the present disclosure may include: a step of a receiving unit obtaining a captured image including patient information based on a screen provided when a patient information management program is run; a step of a processor determining a required item for linkage required information required for patient identification in an image program; a step of the processor determining a required area corresponding to the required item for the captured image and expected to be provided with the linkage required information; a step of the processor obtaining image analysis information as the processor performs image analysis on the required area; and a step of providing a response request menu used by a display to receive a response as to whether the image analysis information is appropriate.

[0006] In addition, the step of determining the required area may include a step in which the processor performs character recognition on text included in the captured image; and a step in which the processor determines an area of ​​a location where information corresponding to the required item is provided as the required area based on a result of performing the character recognition or a user location selection input.

[0007] Additionally, the response request menu may include an inquiry menu for inquiring whether the image analysis information is accurate.

[0008] Additionally, the response request menu may include an information input menu used to input accurate information when the image analysis information is inaccurate.

[0009] In addition, the step of obtaining the image analysis information may include a step in which the processor obtains a blurred image in which an unnecessary area other than the necessary area is blurred in the captured image; a step in which the processor performs the image analysis on the blurred image to obtain the image analysis information; and a step in which the display provides the image analysis information and the blurred image.

[0010] In addition, the step of acquiring the image analysis information may include a step of acquiring initial image analysis information as the processor performs the image analysis; a step of determining an existing information correspondence level indicating a degree to which the initial image analysis information corresponds to previously stored image analysis information by the processor; and a step of acquiring the image analysis information by updating the initial image analysis information to correspond to the previously stored image analysis information by the processor when the existing information correspondence level is equal to or higher than a threshold level.

[0011] Additionally, information corresponding to the above required items may include name, date of birth, chart number, and gender.

[0012] In addition, the step of determining the existing information response level may be such that the processor determines the existing information response level by assigning different weights to the name, the date of birth, the chart number, and the gender, respectively.

[0013] A device providing a menu related to patient information according to a second aspect of the present disclosure may include a receiving unit that obtains a captured image including patient information based on a screen provided when a patient information management program is run; a processor that determines necessary items for linkage necessary information required for patient identification in an image program, determines a necessary area corresponding to the necessary items for the captured image and where the linkage necessary information is expected to be provided, and obtains image analysis information by performing image analysis on the necessary area; and a display that provides a response request menu used to receive a response as to whether the image analysis information is appropriate.

[0014] Additionally, the processor may perform character recognition on text included in the captured image, and determine an area of ​​a location where information corresponding to the required item is provided based on a result of the character recognition or a user location selection input as the required area.

[0015] Additionally, the response request menu may include an inquiry menu for inquiring whether the image analysis information is accurate, and if the image analysis information is inaccurate, may include an information input menu used for inputting accurate information.

[0016] In addition, the processor may obtain a blurred image in which an unnecessary area other than the necessary area is blurred in the captured image, perform image analysis on the blurred image to obtain the image analysis information, and the display may provide the image analysis information and the blurred image.

[0017] In addition, the processor may obtain initial image analysis information by performing the image analysis, determine an existing information correspondence level indicating the degree to which the initial image analysis information corresponds to previously stored image analysis information, and, if the existing information correspondence level is equal to or higher than a threshold level, update the initial image analysis information to correspond to the previously stored image analysis information, thereby obtaining the image analysis information. In addition, the information corresponding to the necessary items may include a name, a date of birth, a chart number, and a gender, and the processor may determine the existing information correspondence level by assigning different weights to the name, the date of birth, the chart number, and the gender, respectively.

[0018] A third aspect of the present disclosure may provide a computer-readable recording medium having recorded thereon a program for executing the method according to the first aspect on a computer. Alternatively, a fourth aspect of the present disclosure may provide a computer program stored on a recording medium for implementing the method according to the first aspect.

[0019] According to one embodiment, user convenience can be improved by enabling linkage between a patient information management program (PMS) and an imaging equipment shooting program.

[0020] Additionally, the accuracy of patient information obtained can be improved by receiving a response from the user as to whether the image analysis information is appropriate.

[0021] The effects of the present disclosure are not limited to the effects described above, and should be understood to include all effects that can be inferred from the detailed description of the present disclosure or the composition of the disclosure described in the claims.

[0022] FIG. 1 is a block diagram showing an example of a configuration of a device according to one embodiment.

[0023] FIG. 2 is a flowchart illustrating each step of a device providing a menu related to patient information according to one embodiment.

[0024] FIG. 3 is a diagram illustrating an example of a device according to one embodiment obtaining a blurred image in which unnecessary areas are blurred based on a necessary area in which linkage-required information is expected to be provided.

[0025] FIG. 4 is a diagram illustrating an example of a device obtaining image analysis information for a required area according to one embodiment.

[0026] FIG. 5 is a flowchart schematically illustrating the flow of each step of linking a device with a patient information management program and an imaging program according to one embodiment.

[0027] FIG. 6 is a diagram illustrating an example of a device obtaining pre-stored image analysis information based on whether or not it has a linkage experience according to one embodiment.

[0028] FIG. 7 is a diagram illustrating an example of a device recording additional initial image analysis information based on whether or not it has a linkage experience, according to one embodiment.

[0029] FIG. 8 is a schematic diagram illustrating an example of a device providing a response request menu according to one embodiment.

[0030] FIG. 9 is a diagram illustrating an example of a device according to one embodiment providing a level of existing information correspondence between initial image analysis information and previously stored image analysis information.

[0031] The terms used in the examples are selected from widely used and common terms, taking functionality into consideration. However, these terms may vary depending on the intentions of users in the field, precedents, the emergence of new technologies, etc. Furthermore, in certain cases, terms may be arbitrarily selected by the applicant, and in such cases, their meanings will be described in detail in the description of the relevant invention. Therefore, the terms used in this disclosure should not be defined simply as names, but rather based on the meanings of the terms and the overall content of the disclosure.

[0032] When a part of the specification is said to "include" a component, this does not exclude other components, but rather implies the inclusion of other components, unless otherwise specifically stated. Furthermore, terms such as "part" or "part" in the specification refer to a unit that processes at least one function or operation, which may be implemented in hardware, software, or a combination of hardware and software.

[0033] Below, embodiments of the present disclosure are described in detail with reference to the attached drawings so that those skilled in the art can easily implement the present disclosure. However, the present disclosure may be implemented in various different forms and is not limited to the embodiments described herein.

[0034] Throughout the specification, “domain” can be interpreted as a concept encompassing both two and three dimensions.

[0035] Hereinafter, multiple embodiments will be described in detail with reference to the drawings.

[0036]

[0037] FIG. 1 is a block diagram showing an example of the configuration of a device (100) according to one embodiment.

[0038] Referring to FIG. 1, the device (100) may include a receiver (110), a processor (120), and a display (130).

[0039] Those skilled in the art will appreciate that, in addition to the components illustrated in FIG. 1, the device (100) may further include other general-purpose components. For example, the device (100) may further include memory (not illustrated). Alternatively, those skilled in the art will appreciate that, according to other embodiments, some of the components illustrated in FIG. 1 may be omitted.

[0040] According to one embodiment, the receiving unit (110) may acquire a captured image containing patient information based on a screen provided when the patient information management program is run. For example, the receiving unit (110) may receive a captured image containing patient information in conjunction with the patient information management program, but this embodiment is not limited thereto.

[0041] According to one embodiment, a processor (120) may determine necessary items for linkage-related information required for patient identification in an image program. In one embodiment, the processor (120) may communicate with the image program and the patient information management program to link patient information in the patient information management program to the image program. The processor (120) may determine necessary areas in a captured image that correspond to necessary items and are expected to provide linkage-related information. Information corresponding to necessary items for patient identification among patient information may be determined as linkage-related information, and the location area of ​​the linkage-related information may be determined as the necessary area. In addition, the processor (120) may obtain a blurred image in which unnecessary areas other than the necessary area in the captured image are blurred. In one embodiment, the unnecessary area may be an area that is not required for patient identification and may be deleted or blurred to protect personal information. The processor (120) may obtain image analysis information by performing image analysis on the necessary area. In one embodiment, the image analysis information may be information analyzed based on text obtained from the necessary area.

[0042] According to one embodiment, a display (130) may provide image analysis information and a blurred image. In one embodiment, "providing" may include an example of displaying the information on a user terminal. Additionally, the display (130) may provide a response request menu used to receive a response regarding whether the image analysis information is appropriate.

[0043] The imaging program can display 2D or 3D images acquired based on scan data and / or CT data acquired through imaging equipment, and by linking with a patient information management program, image analysis information and blur images regarding patient information can be superimposed on and displayed on the 2D or 3D images in the imaging program. Referring to Fig. 1, a wireless terminal (140) or a wired terminal (150) may be an example of a device corresponding to the patient information management program and the imaging program. That is, the patient information management program and the imaging program can be linked through the device (100) according to the present invention.

[0044] The embodiments described above with reference to FIG. 1 will be described in more detail with reference to FIGS. 2 to 9.

[0045] FIG. 2 is a flowchart illustrating each step of a device (100) providing a menu related to patient information according to one embodiment.

[0046] In step S210, the device (100) according to one embodiment obtains a capture image containing patient information based on a screen provided as the patient information management program is run.

[0047] In one embodiment, the patient information management program may be an example of a PMS. The device (100) may capture a portion or the entire area of ​​a screen where patient information of one of a plurality of patients is displayed, thereby obtaining a capture image, as the patient information management program is run on a hospital server.

[0048] In step S220, the device (100) according to one embodiment determines the necessary items for the linkage necessary information required for patient identification in the image program.

[0049] In one embodiment, the required information for linkage may refer to patient information that must be displayed along with the corresponding patient image in the imaging program, as a result of linkage with the patient information management program. The information corresponding to the required items may include name, date of birth, chart number, and gender.

[0050] In step S230, the device (100) according to one embodiment determines a required area corresponding to a required item for a captured image and in which required linkage information is expected to be provided.

[0051] According to an embodiment, the device (100) may determine an area where a name, date of birth, chart number, and gender are displayed as a required area from the entire area of ​​a captured image obtained when a patient information management program is run. For example, the device (100) may perform character recognition on text included in the captured image. Character recognition is performed using OCR (Optical Character Recognition). OCR is an optical character recognition technology that digitizes characters in an image into characters that can be recognized by a computer. The device (100) may identify a name area, a date of birth area, a chart number area, and a gender area by performing OCR on the captured image. Accordingly, the device (100) may determine an area where information corresponding to a required item is provided as a required area based on the result of the character recognition. In addition, the device (100) may also determine the required area based on a user location selection input. For example, the user location selection input may be received through a hospital terminal (server) using the patient information management program. Since the order of each area where patient information is displayed may differ depending on the patient information management program, one or more areas directly input by the user through the hospital terminal (server) using the patient information management program may be determined as the required area. The device (100) according to one embodiment may obtain a blurred image in which unnecessary areas other than the required area are blurred in the captured image. The device (100) may blur the unnecessary areas other than the required area obtained in step S230. In one embodiment, the blurring may further include deletion or mosaic. For example, the device (100) may obtain a blurred image by blurring, deleting, or mosaic-processing the unnecessary area.

[0052] In step S240, the device (100) according to one embodiment acquires image analysis information by performing image analysis on a required area.

[0053] In one embodiment, the image analysis may include an example of obtaining characters representing the patient's name, date of birth, chart number, and gender by having the device (100) perform OCR on the required area. In addition, in one embodiment, the linkage required information may be information corresponding to the required items included in the captured image, and may be image information before performing character recognition (OCR) on a blurred image in which the unnecessary area is blurred, and / or text information included in the image. The device (100) may obtain image analysis information by performing character recognition (OCR) on the linkage required information. In one embodiment, the image analysis information may include inaccurate information as a result of performing character recognition (OCR). The device (100) according to one embodiment may display image analysis information representing result information for character recognition and a blurred image on a hospital terminal (server).

[0054] In step S250, the device (100) according to one embodiment provides a response request menu used to receive a response regarding whether the image analysis information is appropriate. The device (100) may store patient information in a database or update pre-stored patient information based on a user response corresponding to the response request menu.

[0055] Regarding the above-described steps S210 to S250, the description will be made with reference to FIGS. 3 to 9.

[0056] FIG. 3 is a drawing for explaining an example of a device (100) according to one embodiment obtaining a blurred image in which unnecessary areas are blurred based on a necessary area in which linkage-required information is expected to be provided.

[0057] FIG. 3 illustrates an example of performing step S230. According to an embodiment, the device (100) may determine a required area based on a user location selection input. For example, the user may determine the required area by dragging a portion of a captured image. In FIG. 3, an area included in a dotted line may correspond to the required area. In FIG. 3, the required area is represented as a single large area included in the dotted line, but this is not limited thereto, and multiple areas may be determined as the required area as the user drags multiple areas. Accordingly, the device (100) may blur unnecessary areas other than the required area to obtain a blurred image.

[0058] FIG. 4 is a drawing for explaining an example of a device (100) obtaining image analysis information for a required area according to one embodiment.

[0059] FIG. 4 illustrates an example of performing step S240. According to an embodiment, a device (100) may perform image analysis on a blurred image to obtain image analysis information. The device (100) may perform OCR on the blurred image. Accordingly, as a result of the OCR, a plurality of characters and a blurred processing area may be identified. The device (100) may classify a plurality of characters into units such as chart number (ID), name (First Name, Last Name), date of birth (Birthdate), and gender (Gender) according to preset classification criteria and obtain image analysis information.

[0060] FIG. 5 is a flowchart schematically showing the flow of each step of linking a patient information management program and an image program by a device (100) according to one embodiment.

[0061] FIG. 5 illustrates a specific example of linking an image program by performing steps S210 to S250. Referring to FIG. 5, in step S510, a device (100) according to an embodiment captures patient information from a patient information management program (PMS). In step S520, the device (100) obtains a blurred image in which unnecessary areas are blurred from the obtained captured image. In step S530, the device (100) obtains initial image analysis information by performing OCR on the blurred image. In one embodiment, the initial image analysis information may be image analysis information obtained by performing OCR on a newly obtained captured image and a blurred image at the current time. The device (100) can check (determine) whether there is experience in linking the patient information management program and the image program with respect to patient information corresponding to the initial image analysis information.

[0062] If the device (100) determines that there is a linkage experience based on whether there is a linkage experience, it performs step S541. In step S541, the device (100) can compare the initial image analysis information with the previously stored image analysis information to perform a first modification process for different necessary items. The first modification process may be a modification process that is automatically performed when the initial image analysis information, which determines that the device (100) has a linkage experience, is determined to be different from the previously stored image analysis information. For example, the device (100) may display whether there is a linkage experience on the blurred image acquired in step S520, and may modify information in the initial image analysis information and the information corresponding to the necessary items in the blur image, which are different from the previously stored image analysis information, to correspond to the previously stored image analysis information. The previously stored image analysis information may be image analysis information acquired at a past point in time prior to the current point in time, and may be image analysis information for a patient who is expected to be the same patient as the patient corresponding to the initial image analysis information. As the device (100) compares the initial analysis information and the previously stored image analysis information through the first modification process and modifies the information of different items, the initial image analysis information and the information of the blur image may be modified. Accordingly, the device (100) may display on the hospital terminal (server) an indication of whether there is a linkage experience on the initial image analysis information and the modified blur image modified through the first modification process. If the device (100) determines that there is no linkage experience, it performs step S542. In step S542, the device (100) displays the initial image analysis information and the blur image on the hospital terminal (server). In step S550, the device (100) performs a final confirmation of patient information and a second modification process. The device (100) may display on the hospital terminal (server) a menu requesting a response to the initial image analysis information.The device (100) may perform a second modification process for patient information based on a user response corresponding to a response request menu. The second modification process may be a process performed when a user response to a modification request is received after the device (100) displays initial image analysis information and a blurred image on a hospital terminal (server). For example, the user may finally confirm patient information based on the initial image analysis information displayed through the hospital terminal (server), and, if modification is required, the values ​​entered for each required item may be modified based on the user response.

[0063] In addition, the device (100) can display the initial image analysis information regarding whether or not there is a linkage experience. In step S561, in case of patient information without linkage experience, the device (100) can add and store the initial image analysis information, which has been finally confirmed and modified by the user through step S550, in the database. In step S562, in case of patient information with linkage experience, the device (100) can modify the previously stored image analysis information based on the user's re-modifications through the second modification process performed in step S550 from the initial image analysis information modified through the first modification process performed in step S541 and store the modified information in the database. In step S570, the device (100) can display the patient information along with the image on the hospital terminal (server) by linking the image program.

[0064] FIG. 6 is a diagram illustrating an example of a device (100) obtaining pre-stored image analysis information based on whether or not it has a linkage experience according to one embodiment.

[0065] According to one embodiment, the device (100) may acquire initial image analysis information (610) by performing image analysis, and may determine an existing information correspondence level indicating the degree to which the initial image analysis information (610) corresponds to previously stored image analysis information (620). If the reference information correspondence level is equal to or higher than a threshold level, the device (100) may acquire image analysis information by updating the initial image analysis information (610) to correspond to the previously stored image analysis information (620). Referring to FIG. 6, the device (100) may determine previously stored image analysis information (620) expected to correspond to patient information according to the initial image analysis information (610) for each of a plurality of patient information having a linkage experience previously stored in a database. In one embodiment, the existing information correspondence level may indicate a similarity level between the initial image analysis information (610) and the previously stored image analysis information (620). The device (100) can determine that the patient information is the same if the existing information correspondence level is equal to or higher than a threshold level (for example, character similarity is equal to or higher than 90 percent). If the existing information correspondence level is equal to or higher than the threshold level and less than 100 percent, the device (100) can update characters that are different between the initial image analysis information (610) and the previously stored image analysis information (620). As illustrated in FIG. 6, the device (100) can obtain previously stored image analysis information (620) for patient information whose existing information correspondence level is equal to or higher than the threshold level from a database. The device (100) can identify at least one different character by comparing and analyzing information corresponding to necessary items included in the initial image analysis information (610) and information corresponding to necessary items included in the acquired previously stored image analysis information (620).Accordingly, the device (100) can obtain an update character (640) by updating the update area (630) containing at least one character determined to be different from the initial image analysis information (610) with a character corresponding to the previously stored image analysis information (620). In one embodiment, the device (100) can determine the existing information correspondence level by assigning different weights to the name, date of birth, chart number, and gender, respectively. For example, the device (100) can determine the existing information correspondence level based on the weights assigned in order of the chart number, name, date of birth, and gender. In a patient information management program, since the chart number is a number uniquely assigned to each of multiple patients, if the chart numbers are the same, it can be determined that they are 100% the same patient, and thus the highest weight can be assigned to the chart number. In addition, in general, the patient's name and date of birth are often used to confirm patient information. Typically, multiple patient information with the same name is identified first, and among multiple patient information with the same name, patient information is identified based on the date of birth. Furthermore, since the date of birth typically has more characters than the name (first name, last name, respectively), the number of characters that must be recognized is greater, and thus the probability of error may be somewhat higher than that of the name. Therefore, the name may be given the second-highest weight, and the date of birth may be given the third-highest weight. Furthermore, gender may be a factor used to identify patient information, but since it can generally be divided into only two categories: male and female, it may be difficult to clearly identify patient information, and therefore gender may be given the fourth-highest weight.Accordingly, since the device (100) determines the existing information correspondence level by assigning different weights to the chart number, name, date of birth, and gender as described above, there is an effect that the accuracy in identifying patient information can be improved. In another embodiment, the existing information correspondence level can be determined as one of the first level and the second level. For example, the device (100) can determine the case where the existing information correspondence level is equal to or greater than the threshold level and less than the reference level based on a reference level (e.g., the similarity percentage is 95 percent) corresponding to a similarity percentage that is higher by a preset percentage than the similarity percentage corresponding to the threshold level (e.g., the similarity percentage is 90 percent), as the first level, and can determine the case where the existing information correspondence level is equal to or greater than the reference level and the similarity percentage is less than 100 percent as the second level. The device (100) may determine the number of times the initial image analysis information (610) is updated to correspond to the previously stored image analysis information (620) when the existing information correspondence level is the second level to be smaller than the number of times the initial image analysis information is updated when the existing information correspondence level is the first level. For example, when the existing information correspondence level is the first level, the initial image analysis information (610) may be updated twice consecutively to obtain the image analysis information, and when the existing correspondence level is the second level, the initial image analysis information (610) may be updated once to obtain the image analysis information. Accordingly, the accuracy of the image analysis information may be improved by applying different update numbers. In another embodiment, the device (100) may obtain the image analysis information by updating the initial image analysis information (610) to correspond to the previously stored image analysis information (620) even when the existing information correspondence level is below a threshold level.For example, since the chart number and name have the highest importance among the information corresponding to the required area, if the initial comparative analysis result shows that the chart number and name of the initial image analysis information (610) and the previously stored image analysis information (620) correspond 100%, the device (100) can perform image analysis once more only for the chart number area and the name area in the blurred image regardless of whether the existing information correspondence level is below the critical level according to the date of birth and gender. Accordingly, if the chart number and name correspond 100% again in the image analysis result, the device (100) can determine that the chart numbers are the same and update the initial image analysis information (610) to correspond to the previously stored image analysis information (620).

[0066] FIG. 7 is a drawing for explaining an example of a device (100) additionally recording initial image analysis information (610) based on whether or not it has a linkage experience according to one embodiment.

[0067] According to an embodiment, the device (100) may determine whether each of a plurality of patient information having a linkage experience pre-stored in the database corresponds to patient information according to the initial image analysis information (610). The device (100) may determine that the patient information has no linkage experience if there is no patient information having a similarity level higher than a threshold level by comparing and analyzing the similarity between the initial image analysis information (610) and the plurality of patient information, i.e., if the similarity levels of the plurality of patient information are all lower than the threshold level. Accordingly, the device (100) may additionally store the initial image analysis information (610) for the patient information having no linkage experience in the database.

[0068] FIG. 8 is a schematic diagram illustrating an example in which a device (100) according to one embodiment provides a response request menu (810).

[0069] Referring to FIG. 8, a device (100) according to an embodiment may display acquired image analysis information on a hospital terminal (server). The device (100) may display a response request menu (810) used to receive a response as to whether the image analysis information is appropriate. In an embodiment, the response request menu (810) may include an inquiry menu (820) for inquiring as to whether the image analysis information is accurate. In addition, the response request menu (810) may further include an information input menu (830) used to input accurate information when the image analysis information is inaccurate. Accordingly, for each piece of image analysis information provided through the inquiry menu (820), a user may input corrected characters for inaccurate information through the information input menu (830).

[0070] FIG. 9 is a diagram illustrating an example in which a device (100) according to one embodiment provides an existing information correspondence level between initial image analysis information (610) and previously stored image analysis information (620).

[0071] Referring to FIG. 9, a device (100) according to an embodiment can display a graph type diagram of an existing information correspondence level indicating a similarity level between initial image analysis information (610) and previously stored image analysis information (620). For example, as illustrated in FIG. 9, the device (100) can display a visualized circle graph by indicating a percentage indicating a similarity between initial image analysis information (610) and previously stored image analysis information (620). Accordingly, user convenience can be improved in that the user can easily visually check the image analysis results.

[0072] According to one embodiment, user convenience can be improved in that linkage between a patient information management program PMS and an imaging equipment shooting program is possible, and the accuracy of patient information obtained can be improved in that a response is received from the user as to whether the image analysis information is appropriate.

[0073] The above-described embodiments are merely examples and are not intended to be limiting.

[0074] The order and combination of steps illustrated above are exemplary, and it should be understood that the order, combination, branching, function, and execution entity may be varied, added, omitted, or modified without departing from the essential characteristics of each component described in the specification. Furthermore, throughout the specification, "providing" encompasses a process by which a subject acquires specific information or transmits or receives it directly or indirectly to or from a specific subject, and can be interpreted to comprehensively encompass the performance of related operations required in this process.

[0075] Various embodiments of the present disclosure may be implemented as software comprising one or more instructions stored in a storage medium (e.g., memory) readable by a machine (e.g., a display device or a computer). For example, a processor (120) of the machine (e.g., processor (120)) may call at least one instruction among the one or more instructions stored from the storage medium and execute it. This enables the machine to operate to perform at least one function according to the at least one called instruction. The one or more instructions may include code generated by a compiler or code executable by an interpreter. The machine-readable storage medium may be provided in the form of a non-transitory storage medium. Here, 'non-transitory' simply means that the storage medium is a tangible device and does not contain signals (e.g., electromagnetic waves), and the term does not distinguish between cases where data is stored semi-permanently or temporarily on the storage medium.

[0076] According to one embodiment, the methods according to various embodiments disclosed in the present disclosure may be provided as included in a computer program product. The computer program product may be distributed in the form of a machine-readable storage medium, or may be distributed online (e.g., downloaded or uploaded) via an application store (e.g., Play Store™), or directly between two user devices (e.g., smartphones). In the case of online distribution, at least a portion of the computer program product may be temporarily stored or temporarily generated in a machine-readable storage medium, such as the memory of a manufacturer's server, an application store's server, or a relay server.

[0077] Those skilled in the art will appreciate that the present invention can be implemented in modified forms without departing from the essential characteristics of the above-described description. Therefore, the disclosed methods should be considered illustrative rather than restrictive. The scope of the present disclosure is set forth in the claims, not the foregoing description, and all differences within the scope equivalent thereto should be construed as being encompassed by the present disclosure.

Claims

1. In the method of providing a menu related to patient information by the device, A step of obtaining a capture image containing patient information based on a screen provided when a patient information management program is run by the receiving unit; A step in which the processor determines the necessary items for the linked necessary information required for patient identification in the image program; A step in which the processor determines a required area corresponding to the required item for the captured image and in which the required linkage information is expected to be provided; A step of obtaining image analysis information as the processor performs image analysis on the required area; and A method comprising: providing a response request menu used to receive a response as to whether the image analysis information is appropriate; 2. In paragraph 1, The step of determining the above required area is A step in which the processor performs character recognition on text included in the captured image; and A method comprising: a step of determining, by the processor, an area of a location where information corresponding to the required item is provided as the required area based on the result of performing the character recognition or a user location selection input; 3. In paragraph 1, The above response request menu is A method comprising an inquiry menu for inquiring whether the above image analysis information is accurate.

4. In paragraph 1, The above response request menu is A method including an information input menu used to input accurate information when the above image analysis information is inaccurate.

5. In paragraph 1, The step of obtaining the above image analysis information is A step in which the processor obtains a blurred image in which unnecessary areas other than the required area are blurred in the captured image; A step in which the processor performs image analysis on the blurred image to obtain image analysis information; and A method comprising: providing the image analysis information and the blur image by the display; 6. In paragraph 1, The step of obtaining the above image analysis information is A step of obtaining initial image analysis information as the above processor performs the image analysis; The step of the processor determining an existing information correspondence level indicating the degree to which the initial image analysis information corresponds to the previously stored image analysis information; and A method comprising: a step of obtaining the image analysis information by updating the initial image analysis information to correspond to the stored image analysis information when the existing information response level is equal to or higher than a threshold level; 7. In paragraph 6, Information corresponding to the above required items includes name, date of birth, chart number and gender.

8. In paragraph 7, The step of determining the level of response to the existing information is A method in which the processor determines the existing information response level by assigning different weights to the name, the date of birth, the chart number, and the gender, respectively.

9. For devices that provide menus related to patient information, A receiving unit that obtains a capture image containing patient information based on a screen provided as the patient information management program is run; Determine the required items for the linked information required for patient identification in the video program, Determine the required area corresponding to the required item for the above captured image and expected to provide the required linkage information, A processor that obtains image analysis information by performing image analysis on the above required area; and A device comprising a display providing a response request menu used to receive a response as to whether the above image analysis information is appropriate.

10. In paragraph 9, The above processor Perform character recognition on the text contained in the above captured image, A device that determines an area of a location where information corresponding to the required item is provided as the required area based on the result of the character recognition or the user location selection input.

11. In paragraph 9, The above response request menu is Includes an inquiry menu to inquire whether the above video analysis information is accurate, A device including an information input menu used to input accurate information when the above image analysis information is inaccurate.

12. In paragraph 9, The above processor Obtain a blurred image in which unnecessary areas other than the required area are blurred from the captured image, and perform image analysis on the blurred image to obtain the image analysis information. The above display A device that provides the above image analysis information and the above blur image.

13. In paragraph 9, The above processor By performing the above image analysis, the initial image analysis information is obtained, Determine the existing information correspondence level indicating the degree to which the above initial image analysis information corresponds to the previously stored image analysis information, A device that obtains the image analysis information by updating the initial image analysis information to correspond to the stored image analysis information when the existing information response level is above a threshold level.

14. In paragraph 13, Information corresponding to the above required items includes name, date of birth, chart number and gender. The above processor A device that determines the existing information response level by assigning different weights to the above name, the above date of birth, the above chart number, and the above gender.

15. A computer-readable recording medium recording a program for executing the method of Article 1 on a computer.

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