KR102488958B1 - Method of making survey tools and survey system to survey through survey tools - Google Patents

Abstract

The present invention relates to a method for generating a diagnostic tool in the form of a questionnaire and a diagnostic system for diagnosing a subject's health condition through the generated diagnostic tool, wherein health information previously determined for a first subject group by a collection unit is provided. A collection step of forming a collection database including a first database for collecting the data and a second database for collecting predetermined health information for a second target group that is a part of the first target group; and an information combining step in which the basic database derived from the documents included in the electronic database and the collection database are combined by the processor.

Description

Diagnosis tool generation method and diagnostic system for diagnosis through diagnostic tools

The present invention relates to a method for generating a diagnostic tool in the form of a questionnaire and a diagnostic system for diagnosing a health condition of a subject through the generated diagnostic tool.

In modern society, it is a reality that people's physical activities naturally decrease due to the development of various technologies for living convenience, and at the same time, they are exposed to health deteriorating factors such as adult diseases due to changes in food culture. As a result, interest in health is increasing throughout society and the scope of medical services is gradually expanding from treatment to prevention at the national level. On the other hand, as part of disease prevention, in the case of the United States, HINTS (Health Information National Trend Survey) functions to collect data on cancer-related information of the American people. Of course, since this is a means of surveying its own citizens in the United States, it reflects the food culture and lifestyle of the American people, and it is difficult to apply it to non-US citizens whose circumstances are different.

Nevertheless, there is no means in Korea to easily test risk detection, such as specific diseases and the possibility of causing diseases, based on the health information of the people collected in the country. In line with the gradually changing medical paradigm, there is a demand for a database capable of confirming the possibility of a preventive disease or onset, and furthermore, creating basic information that can lead to diagnosis and treatment.

Republic of Korea Patent Publication No. 2020-0031383 (2020. 03. 24)

One embodiment of the present invention aims to create a diagnostic tool in the form of a questionnaire.

One embodiment of the present invention aims at diagnosing the current health condition of survey subjects based on previously surveyed health information.

An object of the present invention is to store updated health information of a subject according to sampling stratification in a server.

One embodiment of the present invention aims to enable the utilization of diagnostic tools through online.

The present invention relates to a method for generating a diagnostic tool in the form of a questionnaire and a diagnostic system for diagnosing a subject's health condition through the generated diagnostic tool, wherein health information previously determined for a first subject group by a collection unit is provided. A collection step of forming a collection database including a first database for collecting the data and a second database for collecting predetermined health information for a second target group that is a part of the first target group; and an information combining step in which the basic database derived from the documents included in the electronic database and the collection database are combined by the processor.

In addition, the predetermined health information collected for the first target group may be updated at a predetermined cycle.

Also, the second target group may be a group prepared based on probability sampling based on the first target group.

Electronic databases may also include PubMed, CINAHL Complete (Ebsco), HaPI, PsycTESTS, PsycINFO (Ebsco), RISS and DBpia.

Server where diagnostic tools are stored; A first terminal capable of accessing a server and enabling a survey subject to respond to a survey online through a diagnostic tool; and a second terminal that is accessible to the server and enables an evaluator to evaluate a diagnostic tool to which a survey subject responded through the first terminal by accessing the server, wherein the diagnostic tool is a predetermined target group for the first subject group. A collection database including a first database collecting health information and a second database collecting predetermined health information targeting a second target group, which is a part of the first target group, is a basic database derived from literature included in an electronic database. In the form of a questionnaire combined with, a diagnosis system is provided.

And, the server may update the collection database at a predetermined cycle.

In addition, the server may receive and update the first database from an external server.

In addition, the first database may be based on information included in the “Health” category of the Korean Statistical Information Service (KOSIS).

In addition, the diagnostic tool includes a questionnaire asking gender, age, and region of residence, a questionnaire asking about the path, preference, and purpose of health information search, a questionnaire asking frequency of Internet use, a questionnaire asking about possession of devices or apps for health information search, and consultation with medical experts. , regular health checkups, including information from online medical records, storage and online access, use, sharing, difficulty, usefulness, security, relationship with care recipients, questions about diseases, diseases, height /Questions asking about weight, questions about meat/processed meat products, vegetables and fruits, and physical activity and intensity; Questionnaires asking whether and how often they drink or smoke, questions asking whether tests related to the five major cancers, questions asking questions about cancer diagnosis and treatment, and their impact, questions asking questions about cancer-related beliefs; and at least one of questionnaires asking about occupation, income, and educational status.

In addition, a plurality of first terminals and second terminals are provided, respectively, and can be transmitted to each other through a server.

According to an embodiment of the present invention, a subject can easily check health information by providing a diagnostic tool in the form of a questionnaire.

According to an embodiment of the present invention, by providing a diagnostic tool for diagnosing the current health condition of survey subjects based on previously surveyed health information, the result derived through the diagnostic tool provides high reliability to the survey subjects.

According to an embodiment of the present invention, by storing updated health information of a subject according to sampling stratification in a server, it is possible to provide collection and management of subject's health information.

According to an embodiment of the present invention, it is possible to implement non-face-to-face health condition check between a subject and a group of experts by utilizing an online diagnosis tool.

1 is a diagram showing the sequence of a method for generating a diagnostic tool according to an embodiment of the present invention;
2 is a diagram showing a process of generating a collection database according to an embodiment of the present invention;
3 is a diagram showing a sequence of deriving a basic database according to an embodiment of the present invention;
4 is a diagram showing an example of data that is one of the first databases according to an embodiment of the present invention;
5 is a view showing a diagnostic system according to an embodiment of the present invention;
6 is a diagram showing a process in which a diagnosis system according to an embodiment of the present invention is used.

Hereinafter, specific embodiments of the present invention will be described with reference to the drawings. However, this is only an example and the present invention is not limited thereto.

In describing the present invention, if it is determined that a detailed description of the known technology related to the present invention may unnecessarily obscure the subject matter of the present invention, the detailed description will be omitted. In addition, terms to be described later are terms defined in consideration of functions in the present invention, which may vary according to the intention or custom of a user or operator. Therefore, the definition should be made based on the contents throughout this specification.

The technical spirit of the present invention is determined by the claims, and the following examples are only one means for efficiently explaining the technical spirit of the present invention to those skilled in the art to which the present invention belongs.

An embodiment of the present invention, which will be described later, will be described as an example in which health information diagnosis through a diagnostic tool is performed for Korean citizens. In addition, in the process of generating a diagnostic tool, the database collection step by the collecting unit and the information combining step by the processing unit are sequentially performed. Hereinafter, detailed steps to be performed in each step will be described in more detail through FIGS. 1 to 6 .

1 is a diagram showing a sequence of a method for generating a diagnostic tool according to an embodiment of the present invention. 1, electronic database search (S10), basic database derivation (S20), item drafting (S30), draft item review (S40), item derivation (S50), collection database preparation (S60), collection database And comparing and combining items derived from the basic database (S70) and generating a diagnostic tool (S80) can be performed step by step.

Here, the electronic database search (S10) means a process of searching documents through online. That is, it refers to a step of collecting related documents by searching for documents such as academic materials and theses. The collection is performed by the collection unit 120, and the collection unit 120 collects search results using a search formula created by an expert group. Specifically, the search formula may be a search formula prepared using keywords predetermined by a group of experts through operators such as AND and OR. Accordingly, the collection unit 120 may collect and store results (eg, literature) searched through the search formula. PubMed, CINAHL Complete (Ebsco), HaPI, PsycTESTS, PsycINFO (Ebsco), RISS, DBpia, etc. may be examples of online sites where the collection step of the collection unit 120 is performed.

After searching through the electronic database search (S10), a basic database may be derived (S20) through a predetermined process. The basic database may be a final database through a filtering process from the result of the electronic database search (S10) through the predetermined process. The predetermined process will be described later in detail with reference to FIG. 3 .

When the basic database is derived (S20), a draft of items for preparing questions in the form of a questionnaire (S30) may be made. Draft items included in the prepared draft may be items derived from the draft (S50) through expert group review (S40). Items derived here may be compared and combined (S70) with a separately prepared collection database (S60).

The collection database includes a first database surveyed on a first target group and a second database surveyed on a second target group that is a part of the first target group. The collection database is collected for an in-depth investigation with higher relevance to the subject of diagnosis. For example, when Koreans are the subjects of diagnosis, if health information of Koreans is diagnosed through a diagnostic tool based on the results of a survey targeting citizens of countries other than Korea, the reliability of the results may be relatively lowered. Therefore, it is assumed that the diagnosis subject and the first subject group are set identically. As another example, the first target group may be residents, which are the entire group to be diagnosed, even when the scale is changed and reduced to a district unit in an administrative district.

In this embodiment, the first target group may be Korean nationals as described above. Accordingly, the first database may be a result of a survey conducted on all citizens. For example, it may be a survey result related to health by region that is surveyed every year, or it may be a survey result of at least one of the “health” categories statistically conducted by the Korea National Statistical Office (KOSIS). As an example of the survey result, it may be a survey result on whether or not to exercise and exercise intensity, or a survey result on whether or not to drink or smoke.

2 is a diagram showing a process of creating a collection database according to an embodiment of the present invention. Referring to FIG. 2 , external server connection (S61), first target group data collection (S62), and first database preparation (S63) may be sequentially performed. At the same time, survey contents may be generated from the expert group (S64), and a second database may be prepared (S66) through a second target group survey (S65). Here, the first database and the second database, respectively prepared, may be combined (S67) to create a collection database.

Specifically, the second database may perform a health survey on the second target group, but may be surveyed with contents different from those of the first target group. For example, if the contents of the survey on the first target group are the same as those described above, the second target group can be surveyed related to disease history or lifestyle, and the first target group is surveyed. The research contents that have not been investigated may be arbitrarily generated by the expert group and the second target group may be surveyed. The second target group is a part included in the first target group, and may be determined based on probability sampling for the first target group in order to have representativeness.

3 is a diagram showing a sequence of deriving a basic database according to an embodiment of the present invention. Referring to FIG. 3 , electronic database search (S10), database selection (S11), qualification evaluation (S12), final review (S13), and basic database derivation (S20) may be sequentially performed. Of course, after the electronic database search (S10), deduplication (S10a), first filtering (S11a), and second filtering (S12a) are performed, and noise can be removed in the process of deriving the basic database (S20), and deriving the basic database ( In step S20), comprehensive evaluation (S21) may be additionally performed.

This sequential process will be described through a specific example. The collection unit 120 collects raw data documents through keywords determined by a group of experts from online academic and thesis search sites such as PubMed, CINAHL Complete (Ebsco), HaPI, PsycTESTS, PsycINFO (Ebsco), RISS, and DBpia. Search for For example, if 1,476 documents are retrieved as raw data, some documents may be first removed through deduplication (S10a). When it is assumed that there are 151 documents that have been deduplicated (S10a), the remaining 1,325 documents can be database screening (S11) and become documents to be filtered.

Here, the filtering includes first filtering (S11a) and second filtering (S12a), and may be performed sequentially. The first filtering (S11a) is a process of excluding literature that has little relevance to the health field, and the second filtering (S12a) is a process of excluding past literature that is difficult to be included in the diagnostic tool. Specifically, the entire text of the target document may be reviewed through the first filtering ( S11a ) and documents unrelated to the document may be removed. For example, a total of 929 cases are removed through the first filtering (S11a), and eligibility evaluation (S12) may be performed on the remaining 396 cases. The qualification evaluation (S12) may be performed by performing the second filtering (S12a). Through the second filtering (S12a), texts that are difficult to apply to diagnostic tools, have low relevance to HIS (Hospital Information System), and have been published prior to a predetermined point in time (eg, 2008) can be excluded.

When 239 cases are removed through the second filtering (S12a) and 157 cases remain, a final review (S13) is conducted on the 157 cases by an expert group, and 10 basic databases are derived (S20). Of course, 10 basic databases can be rechecked while additionally performing comprehensive evaluation (S21). The number of documents in the above process is just an example, and may be slightly changed according to the judgment of the expert group and the search results.

4 is a diagram showing an example of data that is one of the first databases according to an embodiment of the present invention. Referring to FIG. 4 , the above-described first database may include data of one or more subcategories of a specific category (eg, health category) in the Korea National Statistical Office (KOSIS). For example, the subcategories of the health category are health checkup statistics, health insurance major surgery statistics, health insurance patient treatment cost survey, health functional food industry status, tuberculosis patient report status, public medical institution status, public health office status report, national spirit Health status, national health and nutrition survey, national health account, national health care statistics, employee health examination status report, sudden cardiac arrest investigation, reimbursement drug claim status, statutory infectious disease prevention report, public health center and health branch operation status, health care quality statistics , statistics on non-covered medical expenses and certification fees, statistics on causes of death, survey on postpartum cooking, current status of imported food, status on dietary management, production performance of food and food additives, performance of food collection inspection, survey on children’s oral health, statistics on cancer registration, children Real life safety index, complete drug distribution information statistics, emergency medical status statistics, medical benefit statistics, medical benefit statistics, benefit adequacy evaluation status by medical institution, medical device production performance, medical service experience survey, medical service use status, pharmaceutical production performance and Import performance, pharmaceutical consumption and sales statistics survey, health statistics for the disabled, national vaccination coverage rate, mental illness survey, regional medical use statistics, community health survey, youth health behavior survey, in-depth survey of discharge injuries, student health examination statistics Report, Korea Medical Panel Survey, Korean Body Size Survey, Oriental Medicine Use and Herbal Medicine Consumption Survey, Oriental Medicine Industry Survey, Blood Information Statistics, Cosmetics Industry Status, and HIV/AIDS Report Status.

One or more of the above health-related survey data disclosed by the Korea National Statistical Office (KOSIS) can be selectively collected and used at the time of generating a diagnostic tool (S80). In the case of the image disclosed in FIG. 4, it is the contents of "community health survey - health behavior - exercise and physical activity - healthy living practice rate by city, county and district" (2008-2018), through which the health status of the first target group Based on this, a diagnostic tool can be created.

This data collection is regularly updated, and reliability can be increased by targeting data that relatively well reflects the status of health information of the subject of diagnosis. Therefore, in order to use the results of a survey conducted on a regular basis (eg, at least once a year), health information data of the first target group may be used from the National Statistical Office (KOSIS), National Health Insurance Service (NHIS), etc. .

Therefore, the diagnostic tool created through the process of FIG. 1 includes a questionnaire asking about gender, age, and region of residence, a questionnaire asking about the path and preference, and purpose of health information search, frequency of Internet use, and possession of devices or apps for health information search. questionnaire, consultation with medical experts, questionnaire asking for regular health checkups, including information in online medical records, storage and online access, use, sharing, difficulty, usefulness, security, relationship with care recipients, diseases possessed A questionnaire asking about health, diseases, height/weight, meat/processed meat products, vegetable and fruit consumption, and physical activity and intensity; Questionnaires asking whether and how often they drink or smoke, questions asking whether tests related to the five major cancers, questions asking questions about cancer diagnosis and treatment, and their impact, questions asking questions about cancer-related beliefs; and at least one of questionnaires asking about occupation, income, and educational status.

5 is a diagram showing a diagnosis system according to an embodiment of the present invention. Referring to FIG. 5 , the diagnosis system includes a server 100, an external server 100a, a second terminal 300, and a first terminal 200. The server 100 may receive data by being connected to the external server 100a through a telecommunication line. The first terminal 200 is configured to be operated by a target group (subgroup included in the first target group) using the diagnosis tool, and may be, for example, a PC. The second terminal 300 is configured to be operated by an expert group, and may be, for example, a PC. Here, the PC is an example of a communicable terminal equipped with an input unit and an output unit such as a display, and a portable smart phone may also correspond thereto.

Here, the server 100 includes a storage unit 130, a collection unit 120 and a processing unit 110. The storage unit 130 stores diagnostic tools. Here, the diagnostic tool is a concept that includes all of the diagnostic tools before responding by the target group, the diagnostic tools to which the target group responded, and the diagnostic tools evaluated by the expert group. To this end, the server 100 is designed to enable communication with the first terminal 200 and the second terminal 300 . In addition, the server 100 receives and stores the first database from the external server 100a. The external server 100a may be a place where the first database is regularly updated, such as the National Statistical Office (KOSIS) or the National Health Insurance Service (NHIS).

The regular update of the first database may update the contents of the diagnostic tool while being newly applied to the contents of the diagnostic tool stored in the server 100 . Since this update is performed by the expert group, preferably, when the updated first database is received from the external server 100a, a notification message may be delivered to the expert group. The notification message delivered to the expert group may be transmitted to the second terminal 300 or may be information on portable terminals of the expert group previously registered in the server 100 .

Meanwhile, the collection unit 120 may collect the first database provided from the external server 100a in the server 100 . In addition, as described above, the collection unit 120 collects databases from electronic database pools such as PubMed, CINAHL Complete (Ebsco), HaPI, PsycTESTS, PsycINFO (Ebsco), RISS, and DBpia based on keywords previously determined by the expert group. can do. An electronic database can be processed into a basic database through the intervention of a group of experts.

In addition, the processing unit 110 performs a process of combining the collected and processed databases (S67). For example, if the points assigned to the response results of the target group are accumulated, the result according to the accumulated score can be delivered to the expert group, or the conclusion based on the response result can be delivered to the expert group. Referring to this, the expert group can create a diagnostic tool based on the pre-determined criterion.

6 is a diagram illustrating a process in which a diagnosis system according to an embodiment of the present invention is used. Referring to FIG. 6 , server connection by the first terminal (P10), survey response by the first terminal (P20), survey response server storage (P30), server connection by the second terminal (P40), survey evaluation by the second terminal (P50), survey evaluation server storage (P60), server connection of the first terminal (P70), and survey evaluation result confirmation (P80) are sequentially performed, and the health status of the target group can be diagnosed.

Specifically, the target group may access the first terminal (P10) and respond (P20) to the diagnosis tool stored in the server through the first terminal. At this time, when accessing the server 100, it is necessary to perform survey subject authentication (P11) through the subject's individual information. This process is also intended to specify the respondent (surveyee) upon completion of the response through the diagnosis tool, and the expert group's judgment can be made based on the past health information transmitted from the first database.

After the target group responds to the questionnaire and stores it in the server (P30), the expert group can evaluate the result of the answered diagnosis tool through the second terminal 300 (P50). In this process, preferably, if the target group side responds to the diagnostic tool and stores it in the server 100, the fact that the diagnostic tool answered in the server 100 can be delivered to the expert group (P31).

In addition, the survey evaluator in the expert group can also perform the evaluation through certification (P41). This may be a means of authenticating the qualification belonging to the expert group. When the questionnaire evaluation for the diagnostic tool is stored in the server (P60), it is preferable that the fact that the evaluated diagnostic tool is stored in the server is transmitted to the target group (P61). In order to view the evaluated diagnostic tool, the subject group can connect to the server through the first terminal 200 (P70), go through survey subject authentication (P71), and then check the diagnostic tool for which evaluation has been completed (P80). The evaluation result can be a health management advice in the form of a comment or a suggestion of a treatment direction.

Although representative embodiments of the present invention have been described in detail above, those skilled in the art will understand that various modifications are possible to the above-described embodiments without departing from the scope of the present invention. . Therefore, the scope of the present invention should not be limited to the described embodiments and should not be defined, and should be defined by not only the claims to be described later, but also those equivalent to these claims.

100: server
110: processing unit
120: collection unit
130: storage unit
100a: external server
200: first terminal
300: second terminal
S10: Electronic database search
S10a: Deduplication
S11: Database screening
S11a: first filtering
S12: Qualification evaluation
S12a: Second filtering
S13: Final review
S20: Derive basic database
S21: Comprehensive evaluation
S30: Draft entry
S40: Review Draft Items
S50: Item derivation
S60: Preparation of collection database
S61: External server connection
S62: First subject group data collection
S63: Preparation of the first database
S64: Investigation content creation
S65: Second target group survey
S66: 2nd database preparation
S67: Combination
S68: Creation of collection database
S70: Compare and Combine
S80: Generate diagnostic tool
P10: Server connection of the first terminal
P11: Certification of survey subjects
P20: Survey response of the first terminal
P30: Save survey response server
P31: 2nd terminal notification
P40: Server connection of the second terminal
P41: Survey evaluator certification
P50: Survey evaluation of the second terminal
P60: Save survey evaluation server
P61: 1st terminal notification
P70: Server connection of the first terminal
P71: Certification of survey subjects
P80: Check survey evaluation results

Claims (10)

A first database in which predetermined health information for a first target group is collected by a collection unit and health information different from the predetermined health information for a second target group that is a part of the first target group is collected a collection step of forming a collection database including 2 databases; and
An information combining step in which the collection database is combined with the basic database derived from the documents included in the electronic database by the processing unit;
How to create a diagnostic tool.
The method of claim 1,
The predetermined health information collected for the first target group is updated at a predetermined cycle,
How to create a diagnostic tool.
The method of claim 1,
The second target group is a group prepared based on probability sampling based on the first target group,
How to create a diagnostic tool.
The method of claim 1,
The electronic database includes PubMed, CINAHL Complete (Ebsco), HaPI, PsycTESTS, PsycINFO (Ebsco), RISS and DBpia,
How to create a diagnostic tool.
Server where diagnostic tools are stored;
a first terminal capable of accessing the server and enabling a survey subject to respond to the survey through the diagnostic tool online; and
A second terminal capable of accessing the server and providing the diagnostic tool to which the survey subject responded through the first terminal to an evaluator by accessing the server;
The diagnostic tool is
A first database for collecting predetermined health information from a first target group and a second database for collecting health information different from the predetermined health information for a second target group that is a part of the first target group A questionnaire format that combines the collection database with the basic database derived from the literature included in the electronic database,
diagnostic system.
The method of claim 5,
The server updates the collection database at a predetermined cycle,
diagnostic system.
The method of claim 6,
The server updates the first database by receiving it from an external server.
diagnostic system.
The method of claim 5,
The first database is based on information included in the “Health” category of the Korean Statistical Information Service (KOSIS),
diagnostic system.
The method of claim 5,
The diagnostic tool is
A survey asking gender, age, and region of residence, a survey asking the path, preference, and purpose of health information search, a survey asking how often you use the Internet, a survey asking whether you have a device or app for searching health information, consultation with a medical expert, and whether you have regular health checkups. Questionnaire, inclusion of information in online medical records, questionnaires asking about storage and online access, use, sharing, difficulty, usefulness, security, relationship with care recipients, questionnaires asking about diseases, diseases, height/weight, meat / A questionnaire asking whether to consume processed meat products, vegetables, and fruits, and a questionnaire asking whether and how much physical activity was performed; Questionnaires asking whether and how often they drink or smoke, questions asking whether tests related to the five major cancers, questions asking questions about cancer diagnosis and treatment, and their impact, questions asking questions about cancer-related beliefs; And including at least one of the questionnaires asking about occupation, income, and education status,
diagnostic system.
The method of claim 5,
The first terminal and the second terminal are provided in plurality, respectively, and communicate with each other through the server,
diagnostic system.

Images