KR102548362B1 - System for checking violation of medical law in advertisement, method for checking violation of medical law in advertisement and program of performing the same method on computer readable media - Google Patents

Abstract

The present invention includes a word dictionary construction unit that extracts candidate words that may violate the medical law in relation to medical advertisements, converts a medical advertisement word dictionary into a DB, and constructs it; an advertisement input unit that receives verification target advertisement data including verification target advertisements; a text conversion unit that converts the input advertisement data to be verified into text; a markup presentation unit that compares and analyzes the text with the medical advertisement word dictionary, and marks up and presents words that may violate the medical law among the text; and a medical law violation advertisement check system including a related information providing unit that presents violation-related information related to a possibility of medical law violation of the marked-up word.

Description

Medical law violation advertisement check system based on medical advertisement word dictionary, medical law violation advertisement check method, and program stored in a recording medium to perform the method by computer LAW IN ADVERTISEMENT AND PROGRAM OF PERFORMING THE SAME METHOD ON COMPUTER READABLE MEDIA}

The present invention can filter, extract, and check words with a high probability of violating the medical law in text and images in links, and provide a related legal viewer function related to words with a possibility of violating, thereby minimizing human errors during correction and review. It relates to a medical law violation advertisement check system, a medical law violation advertisement check method, and a program stored in a recording medium to perform the method by a computer.

In general, in the field of medical advertising, medical personnel, medical institutions, or people engaged in medical advertising must always be familiar with the medical law, and advertisements must be conducted in accordance with changes, such as the standards or standards being slightly revised and changed each time.

On the other hand, when multiple advertisements are executed concurrently, various mistakes or typos cannot be excluded. In particular, in dozens of medical advertisement-related tasks per month, mistakes or violations occasionally occur even for experienced employees, and more mistakes are made by medical institutions, medical personnel, and new advertising employees who are not familiar with the medical law. .

In addition, due to these cases of violations that are entirely dependent on human resources, civil complaints from public health centers or the Ministry of Health and Welfare increase, and furthermore, it can be a major factor in increasing the overall cost of society.

In addition, thoroughly familiarize yourself with precedents, medical laws, medical law enforcement ordinances, medical law enforcement rules, cases of medical advertisements by type, and the contents of the checklist (July 2020), and after working on advertisements, compare them one by one and verify each word one by one. There is a hassle to do.

As a result of the investigation by the Korea Medical Marketing Association, it is pointed out that the majority of medical advertisements under this Medical Act are based on words with a high probability of violating certain terms. As a result, ambiguous situations that cannot be said to be illegal often arise one after another.

Therefore, a technology capable of filtering, extracting, and checking words with a high probability of violation and providing a related legal viewer function associated with words with a high probability of violation is required, thereby minimizing human errors during correction and review.

Korean Patent Laid-open Publication No. 10-2007-0094640 (advertisement approval improvement, 2007.09.20) Korean Patent Publication No. 10-2018-0016026 (Medical advertisement system and method therefor, 2018.02.14)

The technical problem to be achieved by the spirit of the present invention is to filter, extract, and check words with a high probability of violating the medical law among medical advertisements, and to provide a viewer function related to related laws related to words with a possibility of violating the medical law. It is to provide a medical law violation advertisement check system, a medical law violation advertisement check method, and a program stored in a recording medium to perform the method by a computer, which can minimize errors.

In order to achieve the above object, an embodiment of the present invention extracts candidate words that may violate the medical law in relation to medical advertisements, converts a medical advertisement word dictionary into a DB, and constructs a word dictionary construction unit; an advertisement input unit that receives verification target advertisement data including verification target advertisements; a text conversion unit that converts the input advertisement data to be verified into text; a markup presentation unit that compares and analyzes the text with the medical advertisement word dictionary, and marks up and presents words that may violate the medical law among the text; and a related information providing unit that presents information related to a violation related to a possibility of violating the medical law of the marked-up word.

Here, the violation-related information presented by the relevant information provider includes one or more of medical law provisions, medical law enforcement ordinances, medical law enforcement regulations, precedents, and medical advertising guidelines published by the Ministry of Health and Welfare related to the violation of the medical law by the marked-up words. and may further include a verification unit that verifies violations of the medical law of the marked-up word by human resources or AI through the presented laws and precedents.

In addition, a violation sentence extraction unit for extracting phrases or sentences with a high possibility of violating the medical law from the text based on one or more of the medical law provisions, medical law enforcement ordinances, medical law enforcement regulations, precedents, and medical advertisement guidelines published by the Ministry of Health and Welfare. can include more.

In addition, the medical advertisement word dictionary may be made into a DB in association with the violation probability of the words with a possibility of violation.

In addition, the text conversion unit may extract and convert text from an advertisement image among the advertisement data to be verified by a text reading function.

In addition, the markup presentation unit may present a duplicate advertisement image by highlighting an advertisement image in an area where a word with a possibility of violation is inserted among the extracted text.

In addition, the related information provider may include presenting the corresponding law and corresponding precedent in a pop-up window in conjunction with the marked-up word, or providing a document by integrating the marked-up word and the corresponding law and corresponding precedent. can

In addition, the violation-related information provided by the relevant information providing unit includes the definition of meaning related to the marked-up word, treatment under the Medical Act, legally acceptable expression, ground laws and provisions that may be violated, and examples of whether or not there is a possibility of violation. can include one or more of the expressions.

In addition, the advertisement input unit may include collecting a plurality of links including advertisements to be verified, documenting the collected plurality of links as a verification link list, and receiving the documented verification link list.

In addition, when the top-level domain of the homepage including the advertisement to be verified is input in the advertisement input unit, the text conversion unit collects sublinks of all sub-domains subordinate to the top-level domain and converts the collected advertisement data to This may include converting to text.

The markup presentation unit may include differentiating colors according to violation probabilities of the words with a possibility of violation and marking up the words.

In addition, the probability of violation is quantified and presented according to statistical data accumulated based on corrective measures, legal accusations and legal judgment results, or wire inquiries and authoritative interpretations of related organizations according to violations of the Medical Act, or the degree of possibility of violation It may be presented by dividing into a plurality of judgment grades indicated.

In addition, when the advertisement data to be verified includes video data, the text conversion unit extracts an image or audio from the video data, and the markup presentation unit extracts text from the image or audio of the video data. may include presenting words that may be violated in the text by comparing and analyzing with the medical advertisement word dictionary.

In addition, the related information providing unit may include integrating the marked-up word, the corresponding law, and the corresponding precedent, arranging the marked-up word according to the probability of violation, and providing the documented document.

Meanwhile, in another embodiment of the present invention, a word dictionary construction step of extracting candidate words that may violate the medical law in relation to medical advertisements and converting a medical advertisement word dictionary into a DB and constructing it; an advertisement input step of receiving verification target advertisement data including an advertisement to be verified; a text conversion step of converting the input advertisement data to be verified into text; a mark-up presenting step of comparing and analyzing the text with the medical advertisement word dictionary and marking up and presenting words that may violate the medical law among the text; and a related information providing step of presenting violation-related information related to a possibility of violating the medical law of the marked-up word.

In addition, another embodiment of the present invention provides a program stored in a recording medium to perform the above-described method for checking advertisements violating medical laws by a computer.

According to the present invention, it is possible to filter, extract, and check words with a high probability of violating the medical law among medical advertisements, and provide a related legal viewer function related to words with a possibility of violating, thereby minimizing human errors during modification and review. It works.

In addition, words in advertisements subject to verification of all websites corresponding to links can be checked in real time at the same time, and the degree of attention is visually differentiated by marking up or highlighting by differentiating colors according to the probability of violation of words that may be violated. It can increase the convenience and efficiency of verification work, eliminate the hassle of finding all sublinks and entering them by hand, and document the number of words with possible violations, the corresponding page, the corresponding line, and the probability of violation together. By providing it, there is an effect that it is possible to perform verification simply and conveniently.

Furthermore, there is an effect of verifying whether a medical advertisement produced as a video has violated the medical law.

1 shows a schematic configuration diagram of a medical law violation advertisement checking system according to an embodiment of the present invention.
FIG. 2 shows an example of a medical advertisement word dictionary of the medical law violation advertisement checking system of FIG. 1 .
3 is a schematic flowchart of a method for checking advertisements violating medical laws according to an embodiment of the present invention.
FIG. 4 illustrates top-level domains and sub-domains according to the method of checking advertisements violating the medical law of FIG. 3 .

Hereinafter, embodiments of the present invention having the above-described characteristics will be described in more detail with reference to the accompanying drawings.

1 shows a schematic configuration diagram of a medical law violation advertisement checking system according to an embodiment of the present invention.

Referring to FIG. 1, the medical law violation advertisement check system includes a word dictionary construction unit 110, an advertisement input unit 120, a text conversion unit 130, a markup presenting unit 140, a related information providing unit 150, and a verification unit. (160) and a violation sentence extractor (115).

The word dictionary building unit 110 may extract candidate words that may violate the medical law in relation to medical advertisements, convert the medical advertisement word dictionary into a DB, and build it. The advertisement input unit 120 may receive verification target advertisement data including an advertisement to be verified. The text conversion unit 130 may convert the input advertisement data to be verified into text. The markup presentation unit 140 compares and analyzes the converted text with the medical advertisement word dictionary, and may mark up and present words that may violate the medical law among the converted text. The related information providing unit 150 may present violation-related information related to the possibility of violating the medical law of the marked-up word. Hereinafter, each component of the medical law violation advertisement check system will be described in detail.

The word dictionary construction unit 110 is based on precedents related to medical advertisement disputes of the Supreme Court, High Court and district courts, medical advertisement regulations within the Medical Act stipulating matters necessary for national medical care, the Medical Act Enforcement Decree, and the Medical Act and the Enforcement Decree of the same Act. Possibility of violation of the Medical Act, from the Medical Advertisement Regulations within the Medical Act Enforcement Rules, which stipulates the matters entrusted and the matters necessary for their implementation, and the Medical Advertisement Guidelines agreed upon by relevant organizations and related organizations, the Medical Advertisement Cases by Type and the Advertisement Regulations of the Checklist. By extracting words with , a medical advertisement word dictionary is converted into a DB and constructed.

Words such as belittling appearance, creating a sense of incongruity, and promoting social prejudice are clearly against the medical law, but publicity words such as best, specialty, award, or certification, which are often used in medical advertisements, have various interpretations. In addition, there is no commentary that clearly stipulates whether these words violate the relevant laws. In the present invention, a medical advertisement word dictionary '' is constructed to filter words that may violate the medical law so as to be modified or reviewed in accordance with medical advertisement regulations.

FIG. 2 shows an example of a medical advertisement word dictionary generated by the word dictionary builder 110. Referring to FIG. Figure 2 (a) is the contents of the medical advertisement word dictionary for the word "best", Figure 2 (b) is the contents of the medical advertisement word dictionary for the word "professional", Figure 2 (c) shows the contents of the medical advertisement word dictionary for the word “award” or “certification”.

Referring to FIG. 2 , the medical advertisement word dictionary may include definitions of candidate words, treatment under the medical law, legally permissible expressions, ground laws and provisions that may be violated, and example expressions according to whether or not there is a possibility of violation.

The medical advertisement word dictionary can be linked with the probability of violation of words that may be violated and made into a database. Based on accumulated statistical data, it can be quantified and presented as a percentage, or it can be presented by dividing it into multiple judgment grades such as 'violation', 'violation possibility', and 'no violation', which indicate the degree of possibility of violation.

In one embodiment, there are 1000 verified medical advertisements, 100 medical advertisements in which “best”, a word with a possibility of violation, exist among the 1000 verified medical advertisements, and 80 of the 100 verified medical advertisements When it is judged that there is a possibility of violation, and the medical advertisement is modified, it is judged that there is a possibility of violation for 80 out of 100 cases in which the word “best” exists, so the accumulated statistical data The violation probability can be calculated accordingly.

For example, “best” can be defined as a violation probability of 80%, and the highest implies the highest in a specific field, and it is almost illegal except for the contextual expression of targeting it, It may mean that it is necessary to check whether there is a possibility of violating Article 56 of the Medical Act, Paragraph 5, Items 3, 4, and 8 of Medical Advertisement.

In the case of “specialty”, it can be defined as a violation probability of 30%, and since specialization implies specialization in a specific field, it can mean that a specialist in a recognized medical subject is available.

In the case of “award” or “certification”, it can be defined as a violation probability of 70%, and it implies that certification was received by winning an award in a specific field, so only certifications such as central government agencies, local governments, and medical institution evaluation and certification agencies are listed. It can mean that it is possible.

As for the grade of judgment, for example, “violation” can mean that the possibility of a problem is very high and that if a complaint or report is received, it may lead to corrective or accusation action by the relevant public health center or institution.

In addition, "possibility of violation" means that deliberation is often rejected, and depending on the context or word, deliberation may sometimes be rejected even without violation, and corrective action or legal action must be taken to obtain accurate results. It can mean that there is some risk and it is necessary to confirm. Here, "possibility of violation" is not considered as an ordinary advertisement on the homepage and is not subject to deliberation, so it can be freely written as long as it is not in violation.

In addition, “no violation” can mean that there are few violations, and even if there are problems, there is a high probability of corrective action.

As an actual example, 'We are proud that the hospital is the best in the procedure' is a subjective assertion under the person's judgment, so it is a possibility of violation, and 'We are trying to be the best in the procedure.' Since it is a determination to make an effort, it falls under no violation, and 'the main hospital is the best in the relevant procedure, and it is different from other clinics.' violation, etc. Therefore, in the case of "proud to be the best", it is an ambiguous expression and is not an expression that clearly states that it is the best, so it is highly likely to be corrected.

“Specialization” should check whether there is a possibility of violating Article 56, Paragraph 2, Item 9 of the Medical Act, and it is an expression of determination that 'the hospital considers pain treatment as its specialty and has been working on it so far.' Although it is not clear whether the violation is not attached to the back, 'We have devoted 12 years to plastic surgery as a plastic surgeon.' 'This hospital is a clinic specializing in pain treatment and is located 2 minutes on foot from ㅇㅇ Station' is illegal under Article 56, Paragraph 2, Items 3 and 9 of the Medical Act. Therefore, the expression "I think it is a professional field" should be disputed as a precedent, but since it does not represent a specialist, it is highly likely that corrective action will be taken.

“Award” or “certification” should be checked to see if there is a possibility of violating Article 56, Paragraph 2, Item 14 of the Medical Act. It is an expression of determination and not attached to the end of the medical department, so the violation is unclear. However, even if it is an award from a local government that says, 'This hospital won the Grand Prize for Doing Good by the Seoul Mayor', certificates of appreciation, certificates of appreciation, etc. cannot be indicated in advertisements. It is a violation, and 'this hospital is a dental hospital certified medical institution of the Medical Institution Evaluation and Accreditation Agency.' It is legal only when used within a certified medical institution, and thus constitutes no violation. Accordingly, in reality, awards received from government agencies tend to end with implicit acceptance or warning even if a report is received, and deliberation is not possible.

On the other hand, it further includes a violation sentence extraction unit 115 that extracts phrases or sentences that are highly likely to violate the medical law from precedents, medical laws, medical law enforcement ordinances, medical law enforcement rules, medical advertisement cases by type, and advertisement regulations of the checklist. Therefore, phrases or sentences that are frequently used in medical advertisements in addition to words with a high possibility of violation may be constructed by making a DB into a medical advertisement word dictionary, and checking phrases or sentences may be performed.

Referring again to FIG. 1 , the advertisement input unit 120 may receive advertisement data including an advertisement to be verified for possibility of violation of the medical law. The input advertisement data may include a link of a web page.

On the other hand, the advertisement input unit 120 collects a plurality of links corresponding to individual homepages on the web in addition to the single link containing the advertisement to be verified, documents the collected plurality of links into a verification link list, and documents the documented verification link. You can also have a list input.

Therefore, instead of individually inputting links, a large number of links can be listed using an Excel program, and then simultaneously inputted to check words of advertisements subject to verification of all homepages corresponding to the inputted links in real time.

The text conversion unit 130 converts the input advertisement data into HTML language text.

On the other hand, the text conversion unit 130 extracts and converts text from an advertisement image among advertisement data through a text reading function, and converts imaged medical advertisements that are not converted into HTML language into text to expand the application range. .

In addition, when the advertisement input unit 120 receives input of the top-level domain of the homepage including the advertisement to be verified, the text conversion unit 130 collects sublinks of all sub-domains subordinate to the top-level domain, This may include converting advertisement data into text.

Therefore, after automatically extracting all sub-URLs subordinate to the top-level URL, collecting and inputting sub-links through search engines such as webmaster tools, the sub-advertisement data is quickly and conveniently converted into text, so that each individual homepage has fewer sublinks of tens of pages, up to hundreds of pages or more, can be subordinated, which can eliminate human errors that can occur due to this, and can eliminate the hassle of finding all sublinks and entering them manually.

The markup presentation unit 140 compares and analyzes the converted text with the previously constructed medical advertisement word dictionary, marks up words that may be violated in the text, and presents them so that the user can easily identify the corresponding words.

In addition, the markup presentation unit 140 highlights an advertisement image in an area where a word with a possibility of violation is inserted among the extracted text and presents a copy advertisement image, separately documents the text extracted from the imaged medical advertisement, and then writes the text on the document. Corresponding words may be marked up, but a copy advertisement image may be presented by highlighting a corresponding region of an advertisement image in which a word likely to be violated is inserted, so that the user can easily identify the corresponding word.

Here, the convenience and efficiency of the verification work may be increased by differentiating the colors according to the violation probability of words with a possibility of violation, marking up or highlighting, visually differentiating the degree of attention. For example, words with a very high probability of violation may be marked in red, and words requiring confirmation may be marked in yellow.

The related information providing unit 150 presents precedents related to the marked-up word, medical law, medical law enforcement ordinances, medical law enforcement rules, medical advertisement cases by type, corresponding laws and corresponding precedents in the checklist.

Here, the related information providing unit 150 may present the corresponding law and corresponding precedent in a pop-up window in conjunction with the marked-up word, or may integrate the marked-up word, corresponding law and corresponding precedent, and provide a separate document.

In addition, the related information providing unit 150 may integrate the marked-up word, the corresponding law, and the corresponding precedent, arrange the marked-up word according to the violation probability, and provide the documented information. For example, the number of words that may be violated, the corresponding page and corresponding line, and the probability of violation may be documented and provided so that verification can be performed simply and conveniently.

The verification unit 160 verifies violations of the medical law of words marked up through relevant laws and relevant precedents presented in connection with words that may be violated by human resources in consideration of context and circumstances, and corrects them in accordance with medical advertisement regulations. Or you can do a review.

Alternatively, AI that performs verification through learning between words that may be violated and the probability of violation according to the context and situation may verify the medical law violation of the marked-up word.

Meanwhile, when the link received by the advertisement input unit 120 includes video data, the text conversion unit 130 includes extracting an image or audio from the video data, and the markup presentation unit 140 converts the video data By comparing and analyzing the text extracted from the image or voice with the medical law medical advertisement word dictionary, words that may be violated in the text are suggested, so that the medical advertisement produced as a video can be verified for medical law violation.

3 is a schematic flowchart of a method for checking advertisements violating medical laws according to another embodiment of the present invention. Hereinafter, with reference to FIG. 3, a method of checking an advertisement violating the medical law having the above configuration will be described in detail.

First of all, in the word dictionary construction step (S110), precedents related to medical advertisement disputes of the Supreme Court, High Court and district courts, medical advertisement regulations within the Medical Act stipulating matters necessary for national medical care, the Medical Act Enforcement Decree, and the Medical Act and the same laws Violation of the Medical Act from the Medical Advertisement Regulations within the Medical Law Enforcement Rules, which stipulate matters entrusted by the Enforcement Decree and the matters necessary for its enforcement, and the Medical Advertising Guidelines agreed upon by relevant organizations and related organizations, the Medical Advertisement Cases by Type and the Advertising Regulations of the Checklist. By extracting possible words, a medical advertisement word dictionary is converted into a database and constructed.

Subsequently, in the advertisement input step (S120), advertisement data including an advertisement to be verified for possibility of violating the medical law is received. Advertisement data may include a link to a web page.

Meanwhile, in the advertisement input step (S120), a plurality of links corresponding to individual homepages on the web are collected in addition to the single link containing the advertisement to be verified, the collected plurality of links are documented as a verification link list, and the documented verification is performed. You can also have it input a list of links.

Therefore, instead of individually inputting links, a large number of links can be listed using an Excel program, and then simultaneously inputted to check words of advertisements subject to verification of all homepages corresponding to the inputted links in real time.

Subsequently, in the text conversion step (S130), the input advertisement data is converted into HTML language text.

On the other hand, in the text conversion step (S130), text is extracted from the advertisement image among the advertisement data by a text reading function and converted, so that imaged medical advertisements that are not converted into HTML language can also be converted into text to expand the range of utilization. .

In addition, when the top-level domain of the homepage containing the advertisement to be verified is input in the advertisement input step (S120), the text conversion step (S130) collects sublinks of all sub-domains subordinate to the top-level domain and collects It may include converting the advertisement data to text.

Therefore, as illustrated in FIG. 4, after automatically extracting all sub-URLs subordinate to the top-level URL, collecting and inputting sub-links through a search engine such as Webmaster Tool, the corresponding sub-advertisement data is quickly and conveniently text By converting to , sublinks of at least tens of pages and sublinks of as many as hundreds of pages are subordinate to each individual homepage, thereby eliminating human errors that may occur and eliminating the hassle of finding and manually entering all sublinks. can

Subsequently, in the markup presentation step (S140), the converted text is compared and analyzed with the previously constructed medical advertisement word dictionary, and words that may be violated in the text are marked up and presented so that the user can easily identify the corresponding words. can

In addition, the markup presenting step (S140) highlights the advertisement image in the area where the word with the possibility of violation is inserted among the extracted text, presents a copy advertisement image, and separately documents the text extracted from the imaged medical advertisement. Corresponding words may be marked up on the screen, but a copy of the advertisement image may be presented by highlighting a corresponding region of the advertisement image in which the word likely to be violated is inserted so that the user can easily identify the corresponding word.

Here, the convenience and efficiency of the verification work may be increased by differentiating the colors according to the violation probability of words with a possibility of violation, marking up or highlighting, visually differentiating the degree of attention. For example, words with a very high probability of violation may be marked in red, and words requiring confirmation may be marked in yellow.

Subsequently, in the step of providing related information (S150), precedents related to the marked-up words, medical law, medical law enforcement ordinances, medical law enforcement rules, cases of medical advertisements by type, corresponding laws and corresponding precedents of the checklist are presented.

Here, in the step of providing related information (S150), the corresponding law and corresponding precedent may be presented in a pop-up window in association with the marked-up word, or the marked-up word, corresponding law and corresponding precedent may be combined and separately documented and provided.

In addition, in the step of providing related information (S150), the marked-up words, corresponding laws, and corresponding precedents may be integrated, sorted according to the violation probability of the marked-up words, and documented and provided. For example, the number of words that may be violated, the corresponding page and corresponding line, and the probability of violation may be documented and provided so that verification can be performed simply and conveniently.

Finally, in the verification step (S160), the violations of the medical law of the words marked up through the relevant laws and relevant precedents presented in connection with the words likely to be violated are verified by human resources in consideration of the context and circumstances, and the medical advertisement regulations may be modified or reviewed accordingly.

Alternatively, AI that performs verification through learning between words that may be violated and the probability of violation according to the context and situation may verify the medical law violation of the marked-up word.

On the other hand, when the link input in the advertisement input step (S120) includes video data, the text conversion step (S130) includes extracting an image or audio from the video data, and the markup presenting step (S140) includes video data. The text extracted from the image or voice of the data is compared and analyzed with the medical law medical advertisement word dictionary, and words that may be violated are suggested in the text, so that medical advertisements produced as videos can be verified for medical law violation.

Another embodiment of the present invention provides a program stored in a recording medium to perform the above-described method for checking advertisements violating medical laws by a computer.

As described above, according to the present invention, it is possible to filter, extract, and check words with a high probability of violating the medical law in text and images in links, and provide a related legal viewer function related to words with a possibility of violating the law, so that when modifying and reviewing Human errors can be minimized, words in advertisements subject to verification of all websites corresponding to links can be checked in real time at the same time, and the degree of attention is increased by differentiating colors according to the probability of violation of words that may be violated and marking up or highlighting them. It is possible to increase the convenience and efficiency of verification work by visually differentiating it, and it is possible to eliminate the hassle of finding all sublinks and inputting them by hand, and the number of words that may be violated, the page and the corresponding line, and the violation Probability can be documented and provided together so that verification can be performed simply and conveniently, and medical advertisements produced as images can also be verified for violation of medical laws.

The embodiments described in this specification and the configurations shown in the drawings are only one of the most preferred embodiments of the present invention, and do not represent all of the technical spirit of the present invention, so various equivalents that can replace them at the time of this application. It should be understood that there may be waters and variations.

110: word dictionary construction unit 115: violation sentence extraction unit
120: advertisement input unit 130: text conversion unit
140: markup presentation unit 150: related information provision unit
160: verification unit
S110: word dictionary building step S115: violating sentence extraction step
S120: Advertisement input step S130: Text conversion step
S140: Markup presentation step S150: Related information provision step
S160: Verification step

Claims (16)

A word dictionary building unit that extracts candidate words that may violate the medical law in relation to medical advertisements and converts a medical advertisement word dictionary into a DB and constructs it;
an advertisement input unit that receives verification target advertisement data including verification target advertisements;
a text conversion unit that converts the input advertisement data to be verified into text;
a markup presentation unit that compares and analyzes the text with the medical advertisement word dictionary, and marks up and presents words that may violate the medical law among the text; and
a related information providing unit that presents violation-related information related to a possibility of violating the medical law of the marked-up word;
including,
The related information providing unit presents related laws and related precedents in a pop-up window in conjunction with the marked-up words, or provides a document by integrating the marked-up words, related laws and related precedents,
The violation-related information provided by the relevant information providing unit includes definitions of meaning related to the marked-up words, treatment under the Medical Act, legally permitted expressions, ground laws and provisions that may be violated, and example expressions by whether or not there is a possibility of violation. include,
The advertisement input unit receives a documented verification link list in which a plurality of links including advertisements to be verified are documented as a verification link list using an Excel program,
When the top-level domain of the homepage including the advertisement to be verified is input in the advertisement input unit, the text conversion unit collects sublinks of all sub-domains subordinate to the top-level domain through a search engine including a webmaster tool. and acquires advertisement data from sublinks of all web pages subordinate to the top-level domain, converts the collected advertisement data into text,
The markup presenting unit quantifies the probability of violation of the word with the possibility of violation according to statistical data accumulated based on corrective measures, legal accusation measures, legal judgment results, and wire inquiries and authoritative interpretations according to violations of the Medical Act present,
The medical law violation advertisement check system in which the related information providing unit integrates the marked-up words, related laws and related precedents, sorts and documents according to the probability of violation of the marked-up words, and provides them. delete According to claim 1,
Further comprising a violation sentence extracting unit that extracts phrases or sentences likely to violate the medical law from the text based on one or more of the medical law provisions, medical law enforcement ordinances, medical law enforcement regulations, precedents, and medical advertisement guidelines published by the Ministry of Health and Welfare. , medical law violation advertisement check system. delete delete delete delete delete delete delete delete delete According to claim 1,
When the advertisement data to be verified includes video data, the text conversion unit extracts an image or audio from the video data;
Wherein the markup presentation unit compares and analyzes text extracted from the image or audio of the video data with the medical advertisement word dictionary, and presents words that may be violated in the text. delete A method for checking advertisements violating medical laws performed by a medical law violation advertisement check system,
a word dictionary construction step in which the word dictionary construction unit of the medical law violation advertisement check system extracts candidate words that may violate medical law in relation to medical advertisements, converts a medical advertisement word dictionary into a database, and constructs a dictionary;
an advertisement input step in which an advertisement input unit of the medical law violation advertisement check system receives verification target advertisement data including an advertisement to be verified;
a text conversion step of converting the input advertisement data to be verified into text by a text conversion unit of the medical law violation advertisement check system;
a markup presenting step of comparing and analyzing the text with the medical advertisement word dictionary by the markup presenting unit of the medical law violation advertisement checking system, marking up and presenting words that may violate the medical law among the text; and
a related information providing step of presenting, by a related information provider of the medical law violation advertisement check system, violation related information related to a possibility of medical law violation of the marked-up word;
including,
In the providing related information step, the related information providing unit links with the marked-up words to present related laws and related precedents in a pop-up window, or to provide a document in which the marked-up words, related laws and related precedents are integrated and provided ,
The violation-related information provided by the relevant information providing unit includes definitions of meaning related to the marked-up words, treatment under the Medical Act, legally permitted expressions, ground laws and provisions that may be violated, and example expressions by whether or not there is a possibility of violation. include,
In the advertisement input step, the advertisement input unit receives a documented verification link list in which a plurality of links including advertisements to be verified are documented as a verification link list using an Excel program,
When the top-level domain of the homepage including the advertisement to be verified is input in the advertisement input step, in the text conversion step, the text conversion unit converts sublinks of all sub-domains subordinate to the top-level domain to the webmaster tool. Collects through a search engine that does, acquires advertisement data from sublinks of all web pages subordinate to the top-level domain, converts the collected advertisement data into text,
In the markup presenting step, the markup presenting unit accumulates the probability of violation of the word likely to be violated based on corrective measures, legal accusation measures, legal judgment results, and wire inquiries and authoritative interpretations of related institutions according to medical law violations. It is quantified and presented according to the statistical data,
In the related information providing step, the related information providing unit integrates the marked-up words, related laws, and related precedents, sorts and documents according to the probability of violation of the marked-up words, and provides the documented advertisement. A program stored in a recording medium to perform the method of checking advertisements violating medical laws according to claim 15 by a computer.

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