JP3255877B2 - Dental health management device - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a dental health management apparatus for managing and analyzing dental data used in oral health activities for maintaining oral health and preventing progress of dental diseases at an early stage.

[0002]

2. Description of the Related Art In order to maintain oral health and effectively carry out oral health activities to prevent the progress of dental diseases at an early stage, tooth type data indicating the dental caries condition of a patient's teeth acquired at the time of a medical examination by a dentist are required. There is a need for dental data consisting of dental environmental data that can cause dental caries. The management of the acquired dental data is performed using a personal card on paper written by the dentist. Then, in order to analyze the pathological factors of dental caries using the dental data, only necessary data is extracted from the personal card by the user's hand, and the extracted data is subjected to general tabulation processing and analysis. The information is manually input to an information processing apparatus that performs processing.

[0003] For example, when inputting tooth formula data indicating dental caries state of dental data to the information processing apparatus, a tooth arrangement state called a dental chart in which the tooth caries state is described in the personal card is described. From the diagram shown in the figure, the user's hand converts and extracts tooth type data including symbols such as letters and numerals indicating the tooth position and the dental caries state.
Then, the user inputs the tooth formula data composed of the symbols into the information processing device by hand.

[0004]

In the method of managing dental data using a personal card as described above, data required for analysis is manually stored by the user from the personal card as the number of managed personal cards increases. There is a problem that it takes time to extract. Also, there is a problem that it takes time and effort to input the extracted data into the information processing apparatus by the user.

When the tooth data is input to the information processing apparatus as described above, the dental chart is converted into tooth data comprising symbols indicating the position of the tooth and the caries state of the tooth. Since the user inputs the tooth type data consisting of the following to the information processing apparatus, there is a problem that erroneous data is likely to be input to the information processing apparatus.

Further, when tooth type data is input to the information processing apparatus, not the dental caries state of one tooth,
It is more preferable to input the dental caries state on the tooth surface, since it is possible to perform a precise tabulation process and an analysis process.
However, since there are five tooth surfaces for one tooth, it is difficult for the user to convert the data into tooth type data indicating the caries state on the tooth surface, and the tooth type data input to the information processing device is Further increase. For this reason, the above-described problem occurs, and it is difficult to input the tooth formula data on the tooth surface.

[0007] A first object of the present invention is to provide a dental health management apparatus for performing an analysis for obtaining the strength of the relationship between dental caries status and dental environmental data without any trouble. . A second object of the present invention is to provide a dental health management device that makes predictions such as calculating dental environmental data affecting future caries status without any trouble.
You.

[0008]

According to the present invention, there is provided a dental health management apparatus which stores a database in which tooth formula data indicating a dental caries state and a plurality of tooth environment data are stored in association with each other, and a search condition input from a user. Inputting means, analyzing means for quantifying the strength of the relationship between the tooth environment data and the dental caries state, and tooth formula data and tooth environment from the database based on search conditions provided from the input means. Bei example search means and data retrieved and provided to the analyzing means, the said
Calculate the cariogenic factors based on the values obtained by the analytical means
It is characterized by putting out .

Further, the dental health management apparatus of the present invention inputs a tooth condition data indicating a dental caries state and a plurality of dental environment data in association with a registration number, and inputs a search condition from a user. Input means, analysis means for quantifying the strength of the relationship between the dental environment data and the dental caries state, and searching for a registration number from the database based on search conditions provided from the input means, e Bei search means providing a tooth-type data and the teeth of the environmental data relating to number to the analyzing means, and obtained by said analysis means
The method is characterized in that a carious disease-causing factor is calculated based on the obtained value .

According to the above-described configuration, the strength of the relationship between the dental environment data and the dental caries state is quantified by the analysis means, so that the relationship strength is compared for each tooth environmental data. And analyze the factors affecting the caries status. In this case, since the tooth formula data and the tooth environment data used for the digitization are stored and managed in the database, the user only needs to input search conditions. Thus, the analysis can be easily performed without any trouble. Note that a category or item consisting of a plurality of tooth environment data is entered as a search condition to limit the analysis range, and the relationship between the tooth environment data and the dental caries state within the category or item is strengthened. You may make it numerically.

Further, the dental health management apparatus of the present invention includes a database for storing tooth type data indicating a dental caries state and a plurality of tooth environment data in association with each other, and a first age and a first age from a user. Input means for inputting a second age that is greater than the age of, and prediction means for quantifying the strength of the relationship between the dental caries state at the second age and the dental environmental data at the first age. , and a search means for applying to said prediction means and a tooth-type data retrieved from the database in the environment data and the second age of teeth in the first age given from said input means, said prediction
Caries at the second age based on values obtained by means
The present invention is characterized in that a carious disease-causing factor that tends to cause caries is calculated .

Further, the dental health management device of the present invention includes a database for storing tooth type data indicating a dental caries state and a plurality of tooth environment data in association with a registration number, Input means for inputting a second age greater than the first age, and quantifying the strength of the relationship between the dental caries state at the second age and the dental environmental data at the first age. The prediction means and the tooth number data and the tooth environment data at the first age and the second age provided from the input means are both searched for a registration number stored in the database, and are searched for the registration number. Search means for providing the dental environment data at the first age and the dental data at the second age to the predicting means , based on the value obtained by the predicting means.
Calculate the cariogenic factors that are likely to be carious at the second age
The feature is to put out .

[0013] According to the above configuration, the strength of the relationship between the dental environment data at the first age and the caries state at the second age, quantified by the prediction means, is used to determine the dental environment at the first age. Since the comparison can be performed for each data, it is possible to detect the environmental data of the tooth of the first age which affects the dental caries status at the second age. Thus, it is possible to analyze the factors that affect the future caries incidence status. In this case, since the tooth formula data and the tooth environment data used for the digitization are stored and managed in the database, the user only needs to input search conditions. Therefore, the analysis can be performed without any trouble.

It is more preferable to store the tooth formula data and the tooth environment data in association with the registration number in the database than to store the tooth formula data and the tooth environment data in the database without being associated with the registration number. The search can be easily performed, and the search can be performed quickly.

[0015] Further, the dental health management apparatus having a database for storing tooth type data and tooth environment data in association with a registration number provides a strong relationship between the digitized tooth environment data and the dental caries state. Predictive extraction means for sorting the tooth environment data in descending order and extracting a registration number having a predetermined number of tooth environment data from the database from the database may be provided.

[0016] By providing the predictive extracting means, it is possible to extract a patient designated by the registration number having dental environmental data which is strongly related to the dental caries state, and the user may be exposed to dental caries in the future. High patients can be easily known.

[0017]

[0018]

[0019]

[0020]

[0021]

[0022]

[0023]

[0024]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS A dental health management device according to the present invention will be described below with reference to the drawings.

FIG. 1 is a system configuration diagram of a dental health management apparatus 10 of the present invention. This dental health management device 10
A database unit 13 in which data is stored;
0, an input unit 35 for inputting data from a user, and an output unit 36 for outputting data such as a processing result of the functional unit 15 to the user. The database unit 13 includes a basic data file 20,
It is composed of an inspection result data file 21 and a prediction file 22. Each file is a table (tabl) in which tooth formula data or tooth environment data is stored in a two-dimensional table format.
e) and a query obtained by performing a relational operation such as projection or join of the data in the table. This query is created to improve search speed.
The function unit 15 includes an interface 23 and an input update mechanism 2
4, a search mechanism 25, a health information totaling mechanism 26, a caries occurrence factor analysis mechanism 27, a prediction mechanism 28, and an analysis file creation mechanism 29. The input unit 35 is configured by input means such as a keyboard and a mouse used for inputting data to be stored in the database unit 13 or data specifying processing. The output unit 36 includes an output unit such as a monitor or a printer that outputs a processing result to a user.

FIG. 2 is a schematic diagram schematically showing an information processing device for realizing the dental health management device of the present invention. The dental health management device 10 is realized using an information processing device 37 such as a personal computer. Information processing device 37
Stores the data of the database unit 13 in an internal storage device, and also stores an external storage device 3 such as a hard disk connected to the information processing device 37 for backup.
8 also stores the data of the database unit 13. The storage medium 39 stores a program that implements the interface 23 of the functional unit 15 and the mechanisms 24 to 29. When the program stored in the recording medium 39 is installed in the information processing device 37,
The information processing device 37 functions as the dental health management device 10.

(Basic Data File 20) In the basic data file 20 of the database section 13, a table is formed for each type (category) of tooth type data and dental environmental data constituting dental data. That is, tooth type data indicating the dental caries state, personal information data as the tooth environment data, questionnaire data, oral finding data, and CAT (caries activity test).
Five types of tables each storing data are formed. The data stored in these tables is shown in FIG.
As will be described later, the information is acquired and input at the dentist's examination for infants 0 to 5 years old (11 times in total). Therefore,
The personal information table in which the personal information data is stored is one because the personal information data is not obtained after the first examination, and the CAT table in which the CAT data is stored is:
Since the data obtained at the time of the examination is stored in one table, the number is one. In addition, the questionnaire table in which the questionnaire data is stored, and the oral finding table in which the oral finding data is stored, the data may change at each checkup, and in order to store the data at each checkup,
Eleven are formed. Furthermore, the tooth type table that stores the tooth type data stores the data at each examination,
Since data is stored for each of the upper right jaw, the left upper jaw, the right lower jaw, and the left lower jaw in order to reduce the amount of data stored in one table and improve the search speed, 44 (11 × 4) data are formed. Therefore, the basic data file 20 contains 6
Eight tables are formed.

In the personal information table, as shown in FIG. 3, personal information data corresponding to items 41 such as infant name, gender, date of birth, etc. are associated with a registration number (ID) in a predetermined data type. 42. For example, personal information data corresponding to the item 41 indicating “infant name” is stored in a text type, personal information data corresponding to the item 41 indicating “birth date” is stored in a date / time type, and “sex” Is stored in the form of a numeric value. The numerical value of the personal information data stored as a numerical type does not necessarily indicate the size and order, but may mean data associated with the numerical value. For example, as shown in FIG. 4, the numerical value “7” stored in the item “occupation of father” indicates data “employee”.

The CAT table stores CAT data in a numerical data type in association with a registration number (ID). As shown in FIG. 5, the CAT data is data indicating seven-step numerical values obtained by evaluating the bacterial status of the teeth of the infant and mother obtained at each examination by the examination method CAT.

In the questionnaire table, questionnaire data indicating the results of responses to the questionnaire items such as the caregivers and the number of snacks as shown in FIG.
It is stored in a numeric data type in association with D).

The intraoral findings table contains, as registration numbers (ID), intraoral findings data indicating findings on items related to intraoral states such as an occlusal state, an abnormal tooth state, and an abnormal soft tissue state as shown in FIG. ) And is stored in a numeric data type. In addition, since there are cases where a plurality of findings are present for items related to intra-oral states such as an occlusal state, an abnormal state of teeth, and an abnormal state of soft tissue, the intra-oral findings table can store a plurality of findings. It is composed of

The tooth type table contains tooth type data indicating evaluation of “healthy”, “caries”, “filling” and the like for items such as tooth contents, tooth condition, and tooth surface condition of milk teeth and permanent teeth. It is stored in a numerical data type in association with the registration number (ID). This tooth type table is formed for each of the upper right jaw, the left upper jaw, the right lower jaw, and the left lower jaw.

Next, a query included in the basic data file 20 will be described. When data is input to each of the above tables, a relational operation is performed between the personal information table and the other tables to generate a query. When the relational calculation is performed between the personal information table and the questionnaire table or the oral finding table, a query including personal information data necessary for totaling and analyzing the personal information table and data constituting the questionnaire table or the oral finding table is generated. Generated. That is, these queries have a configuration in which personal information data such as the date of birth necessary for the tallying and analysis are combined with the data of the questionnaire table and the oral finding table. When the personal information table and the tooth type table are relationally operated, a query including personal information data necessary for totaling and analyzing the personal information table and data on the "number of teeth" of the tooth type table, and a personal information table A query including personal information data necessary for totaling and analyzing the data and data on the "number of tooth surfaces" in the tooth type table is generated. In addition, personal information table and CA
When the relational operation with the T table is performed, a query composed of personal information data necessary for the totalization and analysis of the personal information table and the CAT data of "infant" in the CAT table, and the individual required for the totalization and analysis of the personal information table A query composed of information data and CAT data of "mother" in the CAT table is generated. Therefore, in the present embodiment, 46 queries are generated by performing the above-described relational operation.

(Search Result Data File 21) The search result data file 21 of the database unit 13 includes one search result table, one evaluation result table, one CAT total table, and 11 teeth numbers. A summary table,
It has eleven tooth surface tally tables and four odds tally tables. Each data in these tables is stored when a search is performed by the search mechanism 25 and when a tallying process is performed by the health information tallying mechanism 26. Therefore,
When performing the tabulation processing, the analysis processing, and the like and outputting the processing result, the tables store data necessary for the processing and the output of the processing result, so that the processing and the output can be performed quickly.

In the search result table, as shown in FIG. 8, personal information data corresponding to items 43 such as infant name, gender, date of birth and the like are associated with the searched registration number (ID) in a predetermined data type. It is stored at 44. By storing the search results in this table, the tabulation process, the analysis process, and the like can be performed quickly.

The evaluation result table stores the results of the aggregation performed by the health information aggregation mechanism 26 using the data of the search result table. Aggregation is generally done by year,
Since the tabulation results are output by year, this table stores the tabulation results by year. For example, when the personal information is totaled, the total result of personal information totaling is stored by year, and when the questionnaire totaling is performed, the totaling result of questionnaire total is stored by year, and the intraoral totalization is performed. In this case, the results of intraoral tallying are stored for each year.

The CAT tally table stores data indicating the CAT tally result for each age. For example, the CAT count result of infants in June, the CAT of infants in the first year of life
Stores the results of aggregation.

The total number of teeth table stores the total number of teeth related to the retrieved registration number (ID). For example, the number of healthy teeth, the number of caries, the number of filled teeth, and the number of teeth are stored. .

In the tooth surface tallying table, the tallying result regarding the tooth surface is stored in association with the retrieved registration number (ID). For example, what is the number of healthy tooth surfaces, what is the number of carious tooth surfaces, and how many are the filled tooth surfaces? The result, the number of teeth, and the like are stored.

The four odds totaling tables are formed for each category other than the tooth formula data. That is, odds
A questionnaire totaling table, oddsCAT totaling table, odds personal information table, and odds oral finding table are formed. Each table is described below.
used to perform analysis by dds ratio,
Data for all elements (environmental data) is stored in association with the searched registration number (ID). For example,
As shown in FIG. 9, the odds personal information table stores data 46 for all elements (personal information data) 45 in association with the retrieved registration number (ID) “1111”.
Is stored. These data 46 include an element 45 “father occupation_agriculture” to which a registration number (ID) of “1111” corresponds.
Stores “1” as data 46 and “1111”
"0" is stored as data 46 in the element 45 "Father Occupation_Company Employee" which the registration number (ID) does not have.

Next, a query of the search result data file 21 will be described. In the search result data file 21, a total of 22 queries are generated by performing a relational operation on the search result table, the 11 tooth count totaling table, and the 11 tooth surface totaling table. These queries are created at the time of analysis processing, and are configured by combining data necessary for analysis of the search result table with data of the table for totalizing the number of teeth and the table for totalizing the tooth surfaces.

(Prediction file 22) Database unit 13
, Four odds result tables are formed for each category other than the tooth formula data. That is,
odds questionnaire result table, oddsCAT result table, odds personal information result table, and odds
An intra-oral finding result table is formed. Each odds result table includes elements other than the registration number (ID) configured in each odds totaling table, and odds ratio of the element 45 calculated by a calculation method described later.
and o are configured correspondingly. For example, as shown in FIG. 10, in the odds personal information result table, all the elements 45 of the personal information data and odds rate of the element 45 are stored.
io data 47 is configured correspondingly.

Next, the query of the prediction file 22 will be described. In the prediction file 22, when data is stored in the odds result table, an odds questionnaire sort result query, an oddsCAT sort result query, an odds personal information sort result query, or an odds
An oral finding sort result query is generated. These queries include the odds questionnaire result table,
dsCAT result table, odds personal information result table, or odds oral finding result table
The values are sorted in the descending order of the numerical value of dds ratio.

(Interface 23) The interface 23 of the function section 15 gives the above-mentioned data inputted from the input means of the input section 35 to the input updating mechanism 24 when storing the data in the database section 13. Search,
When performing processing such as analysis and prediction, the interface 23 supplies data to the search mechanism 25, the health information totalization mechanism 26, the caries occurrence factor analysis mechanism 27, the prediction mechanism 28, and the analysis file creation mechanism 29. . On the other hand, the data processed by each of the mechanisms 24 to 29 is provided to the output unit 36 via the interface 23.

(Input Update Mechanism 24) The input update mechanism 24 of the function unit 15 inputs and updates data stored in the basic data file 20 of the database unit 13. In the input update mechanism 24, data input and update are performed for each category. Here, the input update mechanism 24 controls so that the input is performed in a predetermined procedure according to the category in which the data is input. The predetermined procedure for this input will be described with reference to the flowcharts of FIGS.
The input updating mechanism 24 changes the input method according to the data type of the input data. For example, if the data type is a text type or a date / time type, such as the infant name and date of birth of the personal information data, the interface 2
3 so that it can be input with the keyboard of the input unit 35,
When the data type is a numeric type such as a father's occupation, a mother's occupation, or the like, input can be performed by simply clicking and selecting a selection item displayed on the display screen with the mouse of the input unit 35. As described later, in the category related to the tooth type data, the tooth type data can be input by clicking the dental chart displayed on the screen of the output unit 36 with a mouse.

(Search mechanism 25) Search mechanism 2 of the function unit 15
5 fetches the data input by the user through the input unit 35 as a search condition from the interface 23, performs an AND search or an OR search based on the search condition, and executes a basic data file 20 of the database unit 13.
Or a registration number (ID) from the search result data file 21
Search for. That is, the search mechanism 35 extracts a registration number (ID) having data indicating the search condition from the table of the database unit 13 from the database unit 13. Further, the search mechanism 25 stores the data extracted from the basic data file 20 based on the registration number (ID) as the search result in the search result table of the search result data file 21. Further, the search mechanism 25 can perform a narrowing-down search step by step, and can also return to the previous step and start the search again, so that the user can search by trial and error.

(Health information tabulation mechanism 26) The health information tabulation mechanism 26 of the function unit 15 performs simple tabulation in each category other than the category related to the tooth data based on the control of the user given from the interface 23. . For example, as shown in FIG. 11, in the category relating to personal information, the number of data and the ratio of each element such as “self-employed” in the item of “occupation” are totaled. Further, as shown in FIG. 12, the health information totalizing mechanism 26 also totals indices for evaluating the presence of dental caries (for example, the prevalence of dental caries, the current number of teeth, and the like). Regarding the process of performing the tallying, for example, as shown in FIG. 11, after selecting a category of personal information data, the user inputs a period for tallying as a search condition in a search condition input column 70 of the screen. When the search condition is input, the health information totalizing mechanism 26 controls the search mechanism 25 to cause the search mechanism 25 to search for a registration number (ID) based on the search condition. Then, the health information totalizing mechanism 26 takes in personal information data based on the registration number (ID), counts the number of data for each type of personal information data, and performs totalization. The health information totalizing mechanism 26 stores data in each table of the search result data file 21 when performing the above totaling.

(Caries Occurrence Factor Analysis Mechanism 27) Function Unit 15
The caries occurrence factor analysis mechanism 27 calculates the odds ratio in the set range (category or item), and analyzes the dental environmental data related to the dental caries using the odds ratio. For example, as shown in FIG. 20, when the user inputs a period to be analyzed as a search condition in a search condition input column 79, selects an age to be analyzed in an age selection column 80, and further selects a personal information button 83, The caries occurrence factor analysis mechanism 27 controls the search mechanism 25 to cause the search mechanism 25 to search for a registration number (ID) satisfying the above search conditions. Then, the caries occurrence factor analysis mechanism 27 fetches necessary personal information data from the basic data file 20 based on the searched registration number (ID), and generates an odds personal information totaling table of the search result data file 21. This mechanism of caries occurrence factor analysis 2
7 calculates the odds ratio for all the elements 45 of the odds personal information totaling table shown in FIG. 9 by using the odds personal information totaling table and the query of the search result data file 21. This odds
ratio is a case control study,
This is an index indicating the strength of the relationship between the factor (element) and the result (disease), and is calculated by Expression 1.

[0049]

(Equation 1)

As shown in Table 1, the variables A, B, C, and D in Equation 1 are set according to the relationship between the factor (element) and the result (disease).

[0051]

[Table 1]

For example, the setting of the variables A, B, C, and D when obtaining the odds ratio of the element 45 “father occupation_agriculture” shown in FIG. 9 will be described below. In the item “father occupation”, which corresponds to the element 45 “father occupation_agriculture”, the number of infants with dental caries (registration number) is set in the variable A, and the number of infants without dental caries (registration number) is in the variable B. Is set. In the item “father occupation”, which corresponds to the element 45 other than “father occupation_agriculture”, the number of infants (registration number) having dental caries is set in the variable C, and the number of infants (registration number) without dental caries is set. Is set to the variable D. In this case, by providing an odds totaling table as shown in FIG. 9, the number of variables A, B, C, and D to be set can be set to o.
“1” or “0” of the data 46 of the dds totalization table
Can be calculated quickly and easily by counting the numbers.

Then, as described above, the variables A, B, C,
When D is set, oddsra is calculated using Equation 1.
The calculation of tio is performed. As shown in FIG. 10, odds ratio is calculated for each element 45 and stored in the odds personal information result table of the prediction data file 22. In addition, since the element 45 having a large odds ratio can be presumed to be a major carious disease-causing factor according to Expression 1, the magnitude relation between the elements 45 is compared, or the odds ratio is equal to or more than a predetermined value (for example, By calculating the element 45 which is (1 or more), it is possible to easily calculate the carious disease-causing factor.

(Prediction Mechanism 28) The prediction mechanism 28 analyzes whether the caries factor of a certain age is affected by how many years later by using the above-mentioned formula 1 for calculating the odds ratio (hereinafter referred to as the first model). This is called prediction processing). In the first prediction process, when the user inputs a first age, a category (or an item) other than the tooth formula data at the first age, and a second age that is larger than the first age, the prediction mechanism 2
8 controls the search mechanism 25 to search for infants (registration numbers) who have received both the first age and the second age.
Let 5 search. As shown in the age column 73 in FIG. 17, the search for the infant (registration number) uses the age entered in association with the input of the tooth formula data to be described later. This is performed by searching whether the environmental data exists at the first age and the second age. Then, the prediction mechanism 28 determines the odds for the element of the category (or item) at the first age based on the caries status at the second age of the retrieved infant (registration number).
By determining the ratio and sorting the odds ratio, the first age that is susceptible to dental caries at the second age is determined.
Analyze caries prevalence factors at age.

FIG. 13 is a schematic diagram showing a specific example for explaining the first prediction processing of the prediction mechanism 28. For example,
Regarding the above-described first prediction processing, the effect of each item at the age of 1 year and 6 months on the caries morbidity at the growth stage of the infant will be described. First, the user selects the first age of 1 year and 6 months and each category (or item) in 1 year and 6 months and the second age of 2 years. The prediction mechanism 28 is the search mechanism 2
5 to search for infants (registration numbers) who are undergoing a medical examination at both the selected 1-year-old and 6-year-olds. Then, the prediction mechanism 28 calculates odds ratio for the retrieved infant (registration number) based on the presence or absence of dental caries at the age of 2 for the category, and the odds ratio thereof.
sort atio. By performing such processing,
It is possible to predict a factor of 1 year and 6 months affecting caries incidence at 2 years of age. In addition, by performing the above-described processing in the same manner for the case of three years old, it is also possible to predict the factors that affect the dental caries at the age of three years. The oddsratio calculated as described above is added to the prediction file 22.
May be stored in each odds result table.

Further, the prediction mechanism 28 detects an infant (registration number) likely to be affected by dental caries in the future by using the query of the prediction file 22 (hereinafter, referred to as a second prediction process). In the second prediction processing, the prediction mechanism 2
Reference numeral 8 denotes an odds ratio using a query in which elements of the odds result table of the prediction file 22 are sorted and stored in the order of the odds ratio.
A predetermined number, for example, three elements, is extracted from the top with a large value of. Next, the prediction mechanism 28 controls the search mechanism 25 to cause the search mechanism to search for a registration number (ID) having a predetermined number of elements from the extracted higher order. Then, an infant specified by the searched registration number (ID) is detected. By performing such a process, it is possible to detect an infant or child having a high possibility of suffering from dental caries in the future. In the above-described first prediction process, odds ratio is stored in each odds result table of the prediction file 22, and each odds ratio is stored.
By using the query generated by the ds result table, it is also possible to detect the first-age infants who are likely to have caries at the second age.

Although the first prediction process and the second prediction process relating to dental caries have been described, the first prediction process and the second prediction process can be applied to the state of the oral cavity. Elements that affect the internal state can also be analyzed. in this case,
Oddsra of environmental data of each tooth for oral condition
tio is calculated, and the value of the odds ratio is used.

(Analysis File Creation Mechanism 29) The analysis file creation mechanism 29 can use the data of the database unit 13 described above even in an apparatus that performs an analysis method other than the analysis method performed by the caries occurrence factor analysis mechanism 27. To make it possible, data is extracted from each of the files 20 to 22 of the database unit 13 and a new file is created. In this case, the analysis file creation mechanism 29 controls the search mechanism 25 to cause the apparatus to search for necessary data, and forms a table using the data to create a file.
In addition, the analysis file creation mechanism 29 includes the database unit 1
The table of each of the files 20 to 22 is subjected to a relational operation to form a table and a file is created. Therefore, by creating the file with the analysis file creation mechanism 29, the database unit 1 is provided via the input update mechanism 24.
Since the dental data stored in the third device can be effectively used in another device, the labor for inputting the dental data in the other device can be reduced.

(Processing Operation of Dental Health Management Apparatus) The processing performed in the dental health management apparatus having the above configuration will be described below. FIG. 14 is a diagram showing the input menu 50 displayed on the display screen of the output unit 36 of the dental health management device. In the dental health management device, first, the input menu 50 is displayed on the display screen of the output unit 34. Then, the user presses each of the buttons 51 to 6 of the input menu 50.
By clicking and selecting one of the buttons 8 with a mouse as an input means, processing is performed in accordance with the selected button. When the buttons 51 to 63 are selected, processing of data input, totalization, analysis, or prediction described later is performed. Also,
When the user selects the AND / OR search button 64 and selects a category, the user can perform an AND / OR search. Furthermore, when the consultation rate button 65 is selected, a search condition is input, and the registration number (ID) is searched to identify the infant, the consultation rate of the examination of the infant (11 times in total) can be calculated. When the number of teeth and tooth surface count table creation button 66 is selected, the number of teeth and tooth surface totalization table in the search result data file 21 are created or updated. If the number of teeth and the number of tooth surfaces are counted each time tooth type data is input, it takes time to input multiple tooth type data,
Input cannot be performed quickly. For this reason, for example, when a certain number of tooth formula data is input, such as once a month, the tooth number and tooth surface count table creation button 66 is displayed.
Is selected to update the number of teeth and the tooth surface totaling table. When the data INPORT button 67 is selected, data from another device connected via a network, which will be described later with reference to FIG. 22, can be captured by communication. By selecting the system end button 68, the processing operation of the dental health management device can be ended. Although not shown, when the file creation button is selected, the processing in the analysis file creation mechanism 29 is performed, and a file that can be used by another device is generated.

(Personal Information Data Input Update Processing) FIG.
5 is a flowchart illustrating a process of inputting and updating personal information data in the dental health management device. By selecting the personal information input button 51 in the input menu 50 shown in FIG. 14, the input update processing of the personal information data is performed. The personal information data as shown in FIG. 4 described above is input according to the display on the display screen of the output unit 36 (not shown) (step s1).
When the T button is selected (step s2), it is confirmed whether all personal information data has been input (step s3). If all the personal information data has not been input, "Please input data" is displayed on the display screen of the output unit 36, and a warning is issued to the user (step s4). As a result, even when all the personal information data is not input, the user can input the insufficient personal information data, so that the data can be stored without omission and a problem such as no data is generated. Can be prevented. If all the personal information data has been input, it is determined whether or not the registration number of the personal information data has already been input in the basic data file 20 of the database unit 13 (step s5). If not, the personal information data is written to the basic data file 20 (step s6). If the registration number (ID) has been entered, the user is notified whether or not to update the personal information data (step s7). When updating the personal information data, "Please confirm the registration number" is displayed on the display screen of the output unit 36, and a warning is issued to the user (step s8). When the registration number (ID) is confirmed, the personal information data is updated.

(Input update processing other than personal information data) FIG. 16 is a flowchart for explaining the input update processing of data other than personal information data in the dental health management apparatus. By selecting buttons 52 to 55 other than the personal information input button 51 of the input menu 50 shown in FIG.
As in the flow shown in FIG. 6, an input update process other than the personal information data is performed. Here, in the case of inputting personal information data, once input, it is only updated for correction. On the other hand, in the case of inputting data other than the personal information data, when the data is obtained at the time of the medical examination, the data is accumulated so as to be stacked. Therefore, in the case of inputting data other than the personal information data, the input procedure is different from the input procedure of the personal information data as described above. The input of data other than the personal information data is performed after the personal information data is input. Hereinafter, the input and update of the tooth type data will be described, but the same input update processing is performed for the input and update of other data.

FIG. 17 shows the display section 36 when the tooth type data is input.
FIG. 4 is a schematic diagram showing a display screen of FIG. When the tooth type input button 53 of the personal information data of the input menu 50 is selected,
A screen as shown in FIG. 17 is displayed. According to the display screen, the registration number (ID) "111111" is displayed in the registration number column 71.
When "1" is input to the user (step s11), it is determined whether the personal information data of the input registration number (ID) has been input to the basic data file 20 (step s12). If not, a message "Please change the registration number" is displayed on the display screen, and a warning is issued to the user (step s13). The infant name is displayed on the display screen in the infant name column 72 of the registration number (step s1).
4).

Next, necessary tooth formula data is input (step s15). This tooth type data is input in the age column 73.
After selecting the age of the dental chart 74 with the mouse, the tooth 75 (right lower jaw D portion) of the dental chart 74 is selected with the mouse, so that data on the tooth 75 can be input. The dental chart 74 is generally used to enter a dental caries state at the time of a medical examination, and displays the deciduous teeth A, B, C, D, and E required for infants and the permanent teeth 1 and 6. Then, as the data regarding the selected tooth 75, the tooth condition such as the exposure of the tooth is displayed in the tooth condition column 76.
The tooth content indicating the presence or absence of dental caries or the like is input to the tooth content column 77 by selecting an item of a pull-down menu 79 displayed by selecting a pull-down button 78. When the tooth 75 is selected, a tooth surface state input field 80 is also displayed in which data relating to the tooth surface state of the tooth 75 can also be input. By inputting the presence or absence of dental caries and the presence or absence of filler on each tooth surface (five surfaces) in the same manner as in the case of inputting the tooth condition and tooth content, data on the tooth surface is also input. You. Further, when the tooth condition is the same (for example, when the tooth is healthy), as shown in the dental chart 74 of FIG. 17, the portion of the same tooth condition (milk teeth A, B, C: inverted portion) And by inputting one set of data relating to the teeth and the tooth surface as described above, it is also possible to collectively input the tooth formula data for a plurality of selected teeth. Thereby, the tooth type data can be input quickly. Also, when the user selects a tooth for which tooth formula data has been input, the input tooth formula data is displayed,
The input tooth type data can be confirmed. Also,
At the time of updating, the tooth type data can be input quickly and easily by inputting only the changed portion of the screen described above.

Then, it is confirmed whether or not all the tooth formula data has been input (step s16). If all the tooth type data has not been input, "Please input data" is displayed on the display screen of the display unit 36 to warn the user (step s17). If all the tooth type data has been input, it is determined whether the tooth type data has already been input to the basic data file 20 of the database unit 13 (step s18). If not, the tooth type data is written in the basic data file 20 (step s19). If the input has been completed, the user is notified whether to update the tooth type data (step s20), and the tooth type data is updated.

(Tallying Process) FIG. 18 is a flowchart for explaining the tallying process in the dental health management device. When the buttons 56 to 62 of the input menu 50 shown in FIG. 14 are selected, the tallying process is performed according to the selected buttons. For example, a case where the personal information aggregation button 56 is selected will be described below. When the personal information aggregation button 56 is selected, a search item (search condition) is input (step s21). Then, it is determined whether data corresponding to the search item has been input in the basic data file 20, that is, whether the personal information data is stored in the basic data file 20 (step s2).
2). If the data corresponding to the search item has not been entered in the basic data file 20, "Please enter data" is displayed on the display screen of the output unit 36, and a warning is issued to the user. (Step s2
3).

On the other hand, if the data has been input, the registration number (ID) is searched based on the search item. In this case, the searched registration number (ID) and necessary data are stored in the search result table. Then, based on a program for totalizing personal information, data is fetched from this search result table, and personal information is totalized (step s24). This personal information totaling result is stored in the evaluation result table (step s25),
As shown in FIG. 11, a predetermined form is set and displayed on the display screen of the output unit 36 (step s26). Then, when the user prints out the personal information totalization result (step s27), the personal information totalization result is output to the printer of the output unit 36 (step s2).
8).

The above-described processing is executed even if other buttons 57 to 62 in the input menu 50 shown in FIG. 14 are selected. When buttons 57 to 60 are selected,
A predetermined tally is performed for each category. When the caries disease evaluation tabulation button 61 is selected, the average number of caries per person and the average dmf (decade miss) per person as shown in FIG.
(ing filling) The totaling result in items such as the number of teeth is calculated. Furthermore, when the tooth type dental caries affected tallying button 62 is selected, a tallying result obtained by tallying the state at each tooth position and the state at each tooth surface position is calculated.

(Analysis Processing) FIG. 19 is a flowchart for explaining the analysis processing in the dental health management apparatus. When the odds ratio button 54 of the input menu 50 shown in FIG. 14 is selected, a screen shown in FIG. 20 is displayed.
The odds ratio is calculated according to the selected button. In the screen of FIG. 20, search items are input by selecting the age column 80 or selecting a category by selecting the buttons 81 to 84 (step s31). In this case, the range of the data used for the analysis may be set by inputting the period of the data used for the analysis. When a search item is input, it is determined whether data corresponding to the search item has been input in the basic data file 20 (step s32). If the data corresponding to the search item is not already entered in the basic data file 20, "Please enter data" is displayed on the display screen of the display unit 36 to warn the user ( Step s33).

On the other hand, if the data has been input, the registration number (ID) is searched based on the search item (step s34), and the searched registration number (ID) and necessary data are stored in the search result table. Is stored (step s3
5). A query is generated for the search result table in which the searched registration numbers (ID) are stored, and for the table for totalizing the number of teeth and the table for totalizing the tooth surfaces (step s36). By calculating odds ratios of all elements (environmental data) of the selected category based on the data from the query and the data from the odds totaling table,
An analysis is performed (step s37). The analysis result is stored in the odds result table of the prediction file 22 (step s38), set in a predetermined form, and displayed on the display screen of the output unit 36 (step s3).
9). When the user prints out the analysis result (step s40), the analysis result is output to the output unit 3.
6 (step s41).

As described above, when analysis is performed, a query is generated from the search result table, the table for totalizing the number of teeth, and the table for totalizing the tooth surfaces. Therefore, it is only necessary to extract data from this query. Analysis processing can be performed faster than extracting data from the result table, the table for totalizing the number of teeth, and the table for totalizing tooth surfaces.

In this analysis, by selecting one of buttons 85 to 88 shown in FIG. 20, AND / OR
The analysis may be performed as described above using the search result searched by the search. By selecting a button (not shown), the above-described prediction mechanism
The first prediction processing or the second prediction processing in may be performed.

As described above, the dental health management device 10
Manages dental data including tooth formula data and tooth environment data in the database unit 13. Therefore, when performing processes such as analysis, aggregation, and prediction, there is no need to perform data extraction and data input as in the related art, which can be performed quickly, and time and effort for input and the like can be reduced. . In addition, the input of the tooth type data can be easily input to the dental chart 74 displayed on the screen by an input means such as a mouse, so that it is not necessary to input data. In addition, since the input state can be visually confirmed, erroneous input can be reduced as compared with the case where tooth type data such as a symbol is input. In addition, since not only data relating to the teeth but also data relating to the tooth surface can be input, it is possible to perform detailed analysis, prediction, and detailed totalization.

(Relationship between Dental Health Management Apparatus 10 and Oral Health Activities) FIG. 21 is a diagram showing the relationship between the dental health management apparatus 10 and the oral health activities of the dentist. The dental health management device 10 is installed in a health management center. Then, the dentist grasps the state of the oral cavity of the infant (oral data and dental data) by examining the infant and the guardian, and the infant and the guardian describe the personal information and questionnaire before the examination. The state of the oral cavity is described on a hygiene guidance management card and provided to the health management center. In the health management center, data (personal information, questionnaire data, oral finding data, and tooth type data) described on the oral hygiene guidance management card provided by the dentist are input to the dental health management device 10. In addition, the dentist has acquired the bacterial state in the oral cavity of the infant and the guardian at the time of the above-mentioned examination, and the health management center reports that the bacterial state in the oral cavity is C
It is calculated by the AT, and the result is input to the dental health management device 10 as CAT data.

When the dentist examines the infant again, data other than the personal information is input to the dental health management device 10 of the health management center as described above. Further, at the time of this examination, the dental health management device 10 of the health management center performs the above-described aggregation processing, analysis processing, and prediction processing based on the previously input data and the data stored in the past. Is being done.
Then, the health management center outputs the quantified diagnosis information and disease information based on the processing result of the dental health management device 10 described above. Then, the dentist determines a preventive method for the infant who has undergone the previous examination using the diagnosis information and the disease information provided by the health management center. By using the diagnostic information and the disease information, the teeth of the infant will be carious in the near future due to factors such as eating snacks four or more times a day or the mother not brushing the teeth of the infant at all. The relationship can be shown numerically, and the dentist can perform a medical examination effectively.

FIG. 22 is a schematic diagram schematically showing the use state of the dental health management device 10 in the health management center. An information processing device in which the dental health management device is realized may be connected to a network. In this case, the server 90 on which the dental health management device is realized stores all the data input as described above, and further stores the data in an external storage medium for backup. Each of the terminals 91 to 94 in which the dental health management device is implemented stores data classified for each year. For example, terminal 9
1 stores the dental data of the infant whose birth date is 1991 and the terminal 92 is the birth date of 1992. The server 90 and each of the terminals 91 to 94 are connected to a network by a communication signal line called Ethernet. Therefore, the user obtains the data that is not stored by communication, so that each terminal 91 having a small storage capacity can receive the data.
In addition, aggregation, analysis, and the like can also be performed with -94. Also,
Even if the server 90 and the terminals 91 to 94 lose data, the lost data can be compensated for by data communication. Furthermore, the input and totalization of the dental data can be performed in a distributed manner by using the terminals 91 to 94, and the data processing can be performed efficiently.

In the above-described embodiment, the search result and the data necessary for the processing related to the search result are stored in the search result data file 21 in order to improve the processing speed. However, the search result and the data necessary for the process related to the search result are not stored in the file 21.
You may be comprised so that it may be taken out from.

[0077]

According to the above-mentioned invention, it is possible to perform analysis for calculating data having a great relationship with the dental caries state without taking time and effort for extracting and inputting data. Further, it is possible to perform a prediction process of calculating data affecting a future carious disease status without any trouble. Further, it is possible to sum up the managed data quickly without any trouble.

In addition, the input of the tooth formula data, which took a lot of time, is displayed on a display screen as a graphic showing a tooth arrangement called a dental chart, and the dental caries state is input in a selected format while viewing the graphic. Therefore, it is possible to input quickly with a simple input method. Furthermore, since the data input user can visually confirm the input state, erroneous input can be reduced.

[0079]

[Brief description of the drawings]

FIG. 1 is a system configuration diagram of a dental health management device of the present invention.

FIG. 2 is a schematic diagram schematically showing an information processing device for realizing the dental health management device of the present invention.

FIG. 3 is a schematic diagram showing a data structure of a personal information table.

FIG. 4 is a schematic diagram schematically showing personal information of an oral hygiene guidance management card.

FIG. 5 is a schematic diagram schematically showing CAT data of an oral hygiene instruction management card.

FIG. 6 is a schematic diagram schematically showing a questionnaire of the oral hygiene guidance management card.

FIG. 7 is a schematic diagram schematically showing an intraoral state of the oral hygiene instruction management card.

FIG. 8 is a schematic diagram showing a data structure of a search result table.

FIG. 9 is a schematic diagram showing a data structure of an odds personal information table.

FIG. 10 is a schematic diagram showing a data structure of an odds personal information result table.

FIG. 11 is a schematic diagram showing a personal information totaling screen displaying a totaling result of personal information data.

FIG. 12 is a schematic diagram showing results tabulated based on indices for evaluating carious disease.

FIG. 13 is a schematic diagram showing a specific example for explaining a first prediction process of the prediction mechanism.

FIG. 14 is a diagram showing an input menu displayed on a display screen of an output unit of the dental health management device.

FIG. 15 is a flowchart illustrating an input update process of personal information data in the dental health management device.

FIG. 16 is a flowchart illustrating an input update process of data other than personal information data in the dental health management device.

FIG. 17 is a schematic diagram showing a display screen of a display unit when inputting tooth type data.

FIG. 18 is a flowchart illustrating a tabulation process in the dental health management device.

FIG. 19 is a flowchart illustrating an analysis process in the dental health management device.

FIG. 20 is a schematic diagram showing a search condition input screen used in the analysis processing.

FIG. 21 is a flowchart showing the relationship between the dental health management device and the oral health activity of the dentist.

FIG. 22 is a schematic diagram schematically showing a use state of the dental health management device in the health management center.

[Explanation of symbols]

 13 Database unit 15 Function unit 20 Basic data file 21 Search result data file 22 Prediction file 23 Interface 24 Input update mechanism 25 Search mechanism 26 Health information totaling mechanism 27 Caries occurrence factor analysis mechanism 28 Prediction mechanism 35 Input unit 36 Output

Continuation of the front page (56) References JP-A-6-277238 (JP, A) JP-A-8-173461 (JP, A) JP-A-2-121656 (JP, A) JP-A-2-121657 (JP) JP-A-1-238855 (JP, A) JP-A-10-229993 (JP, A) JP-A-11-47095 (JP, A) (58) Fields investigated (Int. Cl. ⁷ , DB Name) A61C 19/00 A61B 5/00 A61C 19/04 G06F 19/00

Claims (5)

(57) [Claims] 1. A database for storing tooth type data indicating a dental caries state and a plurality of tooth environment data in association with each other, input means for inputting a search condition from a user, and the tooth environment data and tooth Analysis means for quantifying the strength of the relationship with the dental caries state, and search means for searching tooth formula data and tooth environment data from the database based on search conditions provided from the input means and providing the data to the analysis means When, to give a <br/> Bei, Kaka caries based on the value obtained in the analysis unit
A dental health management device for calculating a disease factor . 2. A database for storing tooth formula data indicating dental caries status and a plurality of tooth environment data in association with a registration number, input means for inputting search conditions from a user, and the tooth environment data Analysis means for quantifying the strength of the relationship between the tooth and the dental caries state, and a registration number is searched from the database based on search conditions given from the input means, and tooth formula data and teeth related to the registration number are searched. e Bei and retrieval means for providing the environmental data to said analyzing means, before
Based on the values obtained by the analytical means,
A dental health management device characterized by calculating . 3. A database for storing tooth formula data indicating a dental caries state and a plurality of tooth environment data in association with each other, and a first age and a second age greater than the first age from a user. Input means, input means for inputting, a predicting means for quantifying the strength of the relationship between the dental caries state at the second age and the dental environmental data at the first age, and the second means given from the input means. Search means for searching the database for tooth environment data at the age of 1 and tooth formula data at the second age from the database and providing the data to the prediction means, based on the value obtained by the prediction means
Calculate caries-causing factors that are likely to be carious at the second age
A dental health management device characterized in that: 4. A database for storing tooth formula data indicating a dental caries state and a plurality of tooth environment data in association with a registration number, and a first age from a user and a second age greater than the first age. Input means for inputting the age of the
Prediction means for quantifying the strength of the relationship between the dental caries state at the age of the tooth and the environmental data of the tooth at the first age, and the teeth at the first and second ages given from the input means Search for a registration number where both the formula data and the tooth environment data are stored in the database,
Searching means for providing the dental environment data at the first age and the dental data at the second age associated with the registration number to the predicting means.
Susceptibility to dental caries at the second age based on the values obtained
A dental health care device characterized by calculating a caries morbidity factor . 5. Sorting the tooth environment data in the descending order of the relationship between the digitized tooth environment data and the dental caries state, and registering a predetermined number of tooth environment data from the top The dental health management device according to claim 2 or 4, further comprising a prediction extraction unit that extracts a number from the database.