JP2008117162A - Dental clinic retrieval method and dental clinic retrieval system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a desirable dental clinic retrieval method and dental clinic retrieval system, allowing each patient to retrieve a proper dental clinic giving medical treatment fit for oneself. <P>SOLUTION: In this medical clinic retrieval method, a server 1 performs the following processing. (1) Storing dental clinic information including a forte degree in each treatment content about each of a plurality of dental clinics 3, and storing treatment content information including a treatment content in each symptom. (2) Selecting at least one piece of the treatment content having high adaptability to the patient based on the treatment content information and patient information when the patient information related to a symptom of the patient is inputted from a terminal computer 4x. (3) Selecting the dental clinic 3 having a high forte degree about at least one selected treatment content from the dental clinic information as a recommended clinic. (4) Transmitting information related to the dental clinic 3 to the terminal computer 4x and making the terminal computer 4x display the information. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The invention according to the claims relates to a dental clinic search method and a dental clinic search system for enabling each patient to search for an appropriate dental clinic capable of performing treatment suitable for him / her.

  At the dental clinic, it is now possible to advocate the best practice of the clinic from the four categories of "general dentistry", "dental oral surgery", "pediatric dentistry" and "orthodontics". The patient who wants to receive dental treatment looks at the sign subject written in the telephone directory or the entrance of the clinic, and selects an appropriate dental clinic according to his / her symptoms.

The following Patent Document 1 describes a system for selecting an appropriate doctor in a hospital or the like. If the terminal computer answers the inquiry, the central processing unit identifies the symptoms and selects appropriate medical subjects (digestive organs / liver internal medicine, etc.) and a doctor. By installing such a system in a hospital, it is possible to facilitate the assignment of doctors to patients.
JP 2004-13268 A

  The dental clinic can advocate any of the four subjects as described above, but actually, various treatment contents and treatment techniques are included in them. Even if you have the same “general dentistry”, the treatment content you are good at is completely different for each dental clinic, so even if you look only at the designated subjects, each patient can find the dental clinic that is right for them. Not necessarily.

  In addition, the system described in Patent Document 1 is considered not very useful for selecting a dental clinic whose expertise is subdivided not only by classification for each organ but also by technical means for treatment. For example, the treatment content suitable for a certain patient in dentistry cannot be specified 100% clearly, such as “gastroenterology” and “liver medicine” in internal medicine. For example, “implant correction may be good but surgical correction may be appropriate. I have to predict it stochastically. Further, the system of Patent Document 1 cannot successfully search for “where is the dental clinic specializing in the orthodontic treatment” from a number of dental clinics in the area, for example, not in a specific hospital. .

  The invention according to the claims of this application was made in consideration of the above problems, and preferable dental clinic search in which each patient can search for an appropriate dental clinic that provides treatment suitable for him / her. A method and a dental clinic search system are provided.

In the dental clinic search method according to the claims, the server (or a computer corresponding thereto) performs the following processing. That is,
1) Degree of strength (by objective or subjective evaluation) for each treatment content (including treatment methods and forms of treatment) for each of multiple dental clinics (or hospitals, clinics, and dentists) (Regardless of whether or not) dental clinic information including the treatment content information including the treatment content for each symptom,
2) When patient information related to a patient's symptoms (or patient's preference for treatment) is input from a terminal computer, based on the patient information and the above treatment content information, the degree of conformity with the patient is high. Select one or more treatment details,
3) Select a dental clinic with a high degree of strength for the selected one or more treatment details as a recommended clinic from the above dental clinic information,
4) Send information about the dental clinic (as the recommended clinic) to the terminal computer for display.

According to this method, each patient (user, including a person who cares for a patient) can find a dental clinic suitable for himself / herself by using a terminal computer, which is higher quality than before. It becomes possible to receive treatment. Because the server selects the treatment content with a high degree of fitness with the patient's symptoms (or the above preferences), and selects a dental clinic with a high degree of strength for the treatment content as a recommended clinic and displays it on the terminal computer. is there. It is possible to select the treatment contents with a high degree of fitness from detailed classifications, and if the information on the degree of goodness of the dental clinics is stored in the same detailed classifications, a dental clinic with a proven track record for the treatment contents can be accurately selected. It becomes possible.
According to this method, there is a high possibility that a patient seeking a treatment that the hospital is good at will visit the dental clinic, and an appropriate and efficient treatment will be possible. The patient will feel close to the dental clinic, and there is a possibility that the dental consultation rate of the whole nation will improve.

More preferably, the server receives the patient information from the terminal computer via the Internet and transmits information regarding the selected dental clinic to the terminal computer via the Internet.
The server can be connected to a terminal computer installed in a local dental office information center or a waiting room of a general hospital through a line such as a LAN. However, it is particularly preferable to transmit / receive information to / from the terminal computer via the Internet as described above. This is because a patient who wants to go to a dental clinic can use a personal computer (or mobile phone) at home as a terminal computer to know a dental clinic suitable for him / her very easily.

を各歯科医院ごとに算出し、この総和Ｃの値が最大のものを含む１以上の歯科医院を上記3)において推薦医院として選出するのがよい。
そうすれば、患者にふさわしい治療内容を確率論的に予想する（たとえば、複数の治療内容を、それぞれが当該患者に適合する確率とともに予想する）としても、最も確からしい形で１または複数の適切な歯科医院を患者に提示することができる。 For example, when the patient information is input in the above 2), the server quantifies the patient's fitness degree Pi for the selected treatment contents i (i = 1 to n, n is the total number of treatment contents) ( For example, in%), based on the degree of fitness Pi and the degree of goodness Qi of each dental clinic for the treatment content i,

Is calculated for each dental clinic, and one or more dental clinics including the one with the largest sum C are preferably selected as recommended clinics in the above 3).
That way, even if you are probabilistically predicting treatment content that is appropriate for the patient (eg, predicting multiple treatment content with the probability that each fits the patient), one or more appropriate A unique dental clinic can be presented to the patient.

By dividing the points (for example, 100 points) that the server gives equally for all dental clinics by the number of treatment contents registered in the dental clinic information as having a track record in each dental clinic, It is also preferable to calculate and store the degree of goodness for each treatment content in the dental clinic information.
When the degree of goodness is determined in this manner, a high point is given as the degree of goodness to the limited treatment content in a dental clinic dedicated to a limited kind of treatment. For example, if each dental clinic has 100 points equally and the number of treatment contents registered in the dental office information by dental clinics A and B is 20, 4, respectively, each treatment content in dental clinic A The degree of proficiency with respect to is 5 and the degree of proficiency with respect to each treatment content of the dental clinic B is 25 (see FIG. 4). As a result, the specialty of the dental clinic is clearly reflected in the numerical value of the strength.

In the case of 2) above, the server repeats transmission to the terminal computer to display a plurality of choices about symptoms on the screen and reception to accept the choice selected by the terminal computer from among these choices. Thus, the patient information may be input from the terminal computer.
Then, the patient can smoothly and easily input his / her symptom (or further preference for treatment etc.) to the server as patient information in such a manner that the patient receives an inquiry from the terminal computer. If the server sends progressively more detailed choices, the server is appropriately populated with patient symptoms to a reasonably detailed level.

In the case of 2), it is further preferable that the server also transmits to the terminal computer to display a plurality of options regarding treatment contents and explanations regarding each treatment content on the screen. In other words, not only the options for asking the symptoms, but also the treatment contents that can be selected according to the patient's preference etc. are shown together with their characteristics (merits and demerits).
Then, it becomes easy to realize sufficient informed consent about the treatment content. At the treatment site in the dental clinic, detailed explanation of the treatment content may not be possible due to lack of time, etc. However, with this method, the patient can obtain prior knowledge about the treatment content in advance, so the dental treatment The doctor can give a sufficient explanation in a short time.

The server further aggregates the above-mentioned treatment contents selected as having a high degree of fitness for each patient for all patients in the specific area, and also displays the treatment contents assigned to each dental clinic in the area. There is a further advantage if the dental clinic is tabulated and the results of both are stored.
By browsing the total results, the harmony and disagreement between the treatment contents required by the patients in the area and the treatment contents performed by the dental clinics in the area are clarified. Thereby, each of the dental clinics can know the treatment contents that are expected to be learned and implemented in the future, and it becomes possible to provide more preferable dental care services in the area.

Furthermore, the server
・ The actual treatment details of each patient in the dental office shall be entered (from the terminal computer on the dental office side)
-The degree of coincidence between one or more treatment contents selected in 2) above and the actual treatment contents is quantified for each patient (for example, each treatment content i is displayed with a probability degree Pi of 0 to 1.0 probability display). When selected, the degree of coincidence with the actual treatment content i ′ may be set as the probability, that is, Pi)
-It is even more preferable to modify (change) the treatment content information or the treatment content selection method so as to increase the value of the degree of coincidence.
In that case, the server will be able to more accurately select dental clinics as the number of patients receiving dental clinic searches and receive treatment increases, and as a result, more appropriate dental clinics can be presented to each patient. Become.

The dental clinic search system according to the claim
a) a plurality of terminal computers that input and transmit patient information of each patient regarding symptoms;
b-1) For each of the dental clinics, store dental clinic information including the degree of specialty for each treatment content and treatment content information including the treatment content for each symptom. b-2) By receiving from the terminal computer Based on the above patient information, select one or more treatment details with a high degree of fitness with the patient based on the patient information and the above treatment content information. B-3) Selected one or more treatment details A dental clinic with a high degree of strength is selected from the dental clinic information as a recommended clinic, and b-4) is connected to a server that transmits and displays information related to the dental clinic to the terminal computer.
According to this system, the above-described dental clinic search method can be implemented, and the patient can easily find a dental clinic suitable for himself as described above.

The above terminal computer and server are preferably connected via the Internet.
Then, as described above, for example, the patient can use a personal computer at home as a terminal computer to know a dental clinic suitable for him / her very easily.

を各歯科医院ごとに算出し、この総和Ｃの値が最大のものを含む１以上の歯科医院を上記の推薦医院として選出するものである。
そうした演算手段を有する検索システムなら、前記のように患者にふさわしい治療内容を確率論的に予想する場合にも、最も好ましい形で１または複数の適切な歯科医院を患者に提示することが可能になる。 The server is preferably provided with the following calculation means. That is, the patient's fitness degree Pi for the selected treatment content i (i = 1 to n, where n is the total number of treatment contents) is digitized, and the dental clinic's strength Qi for the fitness degree Pi and the treatment content i. Based on

Is calculated for each dental clinic, and one or more dental clinics including the one with the maximum sum C are selected as the recommended clinics.
A search system having such a computing means can present one or more appropriate dental clinics to a patient in the most preferable form even when probabilistically predicting treatment contents suitable for the patient as described above. Become.

According to the dental clinic search method and the dental clinic search system according to the claims, each patient can find a dental clinic suitable for himself / herself by using a terminal computer.
It is also possible to find a dental clinic very easily using a personal computer at home. One or more suitable dental offices can also be known in a probabilistic manner.
It is also possible to allow the patient to input his / her symptoms (patient information) to the server smoothly and easily in such a way as to receive an inquiry from the terminal computer. It will be possible to easily realize sufficient informed consent, or to promote the expansion of regional dental services that meet the needs of patients.

  Here, the dental clinic search method of the invention will be referred to as “net counseling”, and an outline of the usage procedure by the user, the input procedure (dental clinic information) by the dental clinic, and the dental clinic search will be described.

<User usage procedure>
In net counseling, users (patients, caregivers, etc.) first make a simple diagnosis. This is not a form of direct consultation with a dentist, but a form that allows you to select one that suits you.

As an example, assume that the user first selects “Toothache” on the screen of the terminal computer. Then,
1. Touching a cold object or rubbing it with a toothbrush causes a keen pain.
2. If you eat something sweet, you may see it as “Kean”.
3. There is usually no pain, but if you get clogged with food, you may hurt "Zukeen".
4). Even if you are not doing anything, such as when you are sleeping at night, you may hurt.
5. Usually there is no pain, but when touched, there is dull pain.
The options such as are displayed on the screen, so go ahead and ask them to select the appropriate one.

  For example, if the second “Sweet things look” is selected, 100% decayed teeth are determined. In the case of No. 1 "Caries" or "Hypersensitivity", in the case of No. 4, "Caries with high probability", in the case of 5, biting, the possibility of root disease etc. So narrow down the person's symptoms. These options are prepared in 1000 patterns or more in total, and it is considered that most cases are covered.

  When, for example, “cavities” are suspected by this simple diagnosis, information (causes of caries, treatment methods, etc.) relating to caries prepared in advance is picked up. As a result, only the information necessary for the person is narrowed down from a lot of dental information (treatment content information), and it is not known what to look at even if you want to study yourself about dental treatment. Even if you choose, you can solve the problem that you can not choose without prior knowledge. Net counseling is also useful as a tool for users to study dentistry themselves.

  Then, after having the information provided, you will be asked what treatment you want. Then, “search for a dental clinic suitable for the person” is performed by this dental counseling original dental clinic search procedure.

<Input procedure by dental clinic>
First, various information on the dental clinic (the name of the clinic, address, name of the director, director's brofil, number of staff, comments, etc.) is entered into a database.

A characteristic of this net counseling is the input of medical items.
In the databases of other dental clinics so far, the number of medical care items is about 20 to 30 at most, but this net counseling classifies the medical care items into more than 100 items.

For example, even if there is one “corrective treatment”
・ Adult correction ・ Pediatric correction ・ Lingual correction ・ Implant correction ・ Quick correction ・ Mouthpiece correction ・ Surgery correction

  The reason why it is classified finely so far is that it is not possible to know what kind of corrective treatment is actually performed simply by saying “corrective treatment is being performed”. The benefits, disadvantages, treatment period, treatment costs, etc. of each orthodontic treatment are completely different, but not all dental clinics offer all treatments. In addition, treatment is ultimately determined by the patient from a variety of options.

  In addition to the fact that there are many cases where there is not enough time to explain when actually going to the dental clinic, there is a problem that there is often no explanation about the treatment methods that are not performed at the dental clinic, but there is a net counseling In any case, the patient can know and select his or her desired treatment from a number of treatments at his own pace on the Internet. And you can find a dental clinic that offers the treatment you want.

  There are various treatments for dentistry, but no one can conclude that this treatment is absolutely good for everyone. It seems that a really good treatment should be chosen by the patient himself / herself after knowing the content of each treatment (merits, demerits, treatment period, treatment costs, etc.). In addition, the dentist's duty may be to decide the final treatment method with the patient, taking into account medical knowledge while respecting the opinions. We can be confident that this net counseling system will greatly contribute to the realization of such advanced dental treatment.

  Select from 100 treatment items for dental treatment such as dental caries treatment, periodontal disease treatment, orthodontic treatment, implant, whitening, etc. do that for me. In this case, for example, when all 100 items out of 100 items are selected, the point (goodness level) of each treatment item (treatment content) is “1”. Conversely, when only one item out of 100 items is selected, the point of that item is “100”.

  In other words, if there is a good treatment method or a confident treatment method, the dental clinic side does not input any other medical treatment items, and the point of the good treatment method becomes high. This makes it possible to clarify the characteristics of each dental clinic.

<Outline of dental clinic search>
In the search for dental counseling by net counseling, a search is performed based on the above-mentioned points. However, a dental clinic with a high point is not simply searched preferentially.

  For example, even if “it is considered to be almost 100% caries” by simple diagnosis, it is not without the possibility of other diseases. Therefore, in this case, the point of “dental cavity treatment” is regarded as most important, but the point of treatment for other possible diseases is also added to some extent.

When "cavities" and "hypersensitivity" are considered to be possible in about 5 minutes and 5 minutes, the two points of "cavities" and "hypersensitivity" are regarded as the most important, and other possible treatments Some points of law are added.
However, if the patient wants to have his / her teeth with home whitening, no other treatment is possible, so only the “home whitening” point is referenced.

  In this way, the points of the most probable medical treatment items are regarded as the most important, and the points are weighted according to the possibility of other possible treatment methods. Then, the points of the medical items of about 1 to 20 items are included, and a dental clinic having a high total point is preferentially searched (upper display). However, there are cases where this is not just the total points (details will be described later).

  Since the medical items are selected dynamically by selecting the options in the simple diagnosis described above, the user can search for a dental clinic that suits himself / herself by simply answering between simple qualities. In addition, when there is a desired treatment method, the user can select the item (the item selected by the user is regarded as important).

  Furthermore, the weighting of points also changes depending on the way of inputting medical care items in the dental clinic.

For example, there is a medical treatment item called “implant” (surgery to create an artificial tooth where a tooth has fallen). There is a “dental clinic”.
In this case, when only “implant” is selected in both dental clinics, the implant becomes the same point, and thus the difference between the dental clinics cannot be expressed.
Therefore, if you have selected medical items such as “Sinus Lift” and “Bone Graft” to be performed on people who do not have bones, the point of “implant” will be higher than that of dental clinics that do not select them. A system that is regarded as important is introduced.
“Sinus lift” and “bone graft” are a kind of bone grafting. Implants cannot be hit where there are no bones. For those who do not have bones, these bone transplants are performed so that the implants can be hit. The treatment methods such as “bone graft” and “sinus lift” are more advanced implant techniques, and are not performed at dental clinics where implants are performed. For this reason, the point of the dental clinic implant that selects these items is more important than the point of the dental clinic inbrand that is not selected.

  These systems do not “just search for a dental clinic with a high point”, but make it easier to search for a dental clinic that suits the person.

  Hereinafter, a dental clinic search method and a dental clinic search system, which are embodiments of the invention, will be introduced based on the drawings. FIG. 1 is a conceptual diagram of a dental clinic search system. FIG. 1 (a) is an overall view, and FIG. 1 (b) is a screen of a terminal computer at a user's home. FIG. 2 is a flowchart of a dental clinic search method performed by the system. Also, FIG. 3 shows treatment content information, FIG. 4 shows dental clinic information, FIG. 5 shows patient information, FIG. 6 shows treatment details and the degree of fitness for the patient, FIG. 7 shows calculation of the sum C and selection of the dental clinic. Each example shows an example of data.

  As shown in FIG. 1 (a), a dental clinic search system is configured such that a server 1 and a terminal computer (PC) 3x of a dental clinic 3 and a terminal computer (PC) of a patient (user) 's home 4 via the Internet 2. ) 4x is connected. Since a plurality of dental clinics 3A, 3B, 3C,... Are involved in this system, the personal computers 3x of the respective dental clinics 3 are similarly connected, and the personal computers 4x of many users' homes 4a, 4b, 4c, 4d,. Are also connected in the same manner.

  The relationship between the server 1 in the system of FIG. 1, the terminal computer 3x on the dental clinic 3 side, and the terminal computer 4x on the patient side regarding the exchange of information is as shown in FIG.

  That is, first, the system operator inputs treatment content information and the like in advance and stores them in the server 1 (S1). The treatment content information is a classification of the answer patterns obtained from the patient when asked questions with options and categorizing the treatment content suitable for each pattern based on dentistry knowledge and experience. For example, the data is as shown in FIG. In some cases, one treatment content always matches a specific answer pattern (for example, in the case of No. 1 pattern), but in many cases, a plurality of treatment details can be adapted, so treatment content i (i is 100 or more) The degree of fitness Pi for each of the treatment contents classified into (1) to (n) is indicated by a number from 0 to 100 (%).

  The server 1 also transmits in advance the dental office information related to the hospital from each dental office 3 (3A, 3B...) (S2 in FIG. 2) and stores it in the server 1 (S3). The dental clinic information is exemplified in FIG. 4, and is information indicating the treatment contents and the like with treatment results in the dental clinic 3 along with the name and address of each dental clinic 3, the name of the director, the number of staff, and the like. While each of the dental clinics 3 selects an arbitrary number of proven treatment contents (or good) from among the treatment contents classified as described above, the server 1 selects the selected treatment contents i. At the same time, the degree of goodness Qi for the treatment content i is calculated and stored (S4). The degree of goodness Qi is a value obtained by dividing 100, which is a common point in each dental clinic 3, by the total number of treatment contents i selected for each dental clinic. However, when a certain dental clinic can perform a particularly advanced treatment with respect to a specific treatment content, a special high point is given as the degree of goodness of the dental clinic with respect to the treatment content (for example, the dental clinic in FIG. 4). The degree of goodness Qi for treatment content 4 of clinic D is not the same point as other treatment content).

  When the user (each of the patients a, b, c...) Accesses the server 1 using the patient terminal computer 4x, transmission and reception are performed several times between them (S5 and S6 in FIG. 2). That is, the server 1 transmits a question about a symptom and a plurality of options, for example, to be displayed on the screen of the patient computer 4x as shown in FIG. 1B, and an option selected by the computer 4x from these options. To accept and repeat. As a result, the patient can present patient information regarding his / her symptoms and treatment preferences in a form of receiving an inquiry, and the server 1 receives and stores such patient information (S7). The patient information is specifically illustrated in FIG. 5 and is data in which answers on the patient side with respect to each question issued by the server 1 are arranged.

  When receiving the input of the patient information, the server 1 selects the treatment content that matches each patient's answer pattern based on the above-described treatment content information and obtains the matching degree Pi with each treatment content i (S8). At this time, data stored in the server 1 is, for example, as shown in FIG.

によって求める。そのうえでサーバ１は、総和Ｃの値が最大になる歯科医院を含む３医院程度を、その患者ａに対する推薦医院として選出する（Ｓ１０）。総和Ｃの算出と推薦医院の選出に関するデータは、たとえば図７のようなものになる。図７の例では、総和Ｃが最も大きい歯科医院Ｂと、その次に大きい歯科医院Ｄなどを選出する。 The server 1 matches the degree of fitness Pi of each patient (for example, the patient a) with respect to the selected treatment content i, and the strength Qi of each dental clinic stored as dental clinic information in advance for the treatment content i. Based on the above, the sum C of the degree of fitness for each dental clinic for the patient a is calculated (S9). The sum C is, for example,

Ask for. In addition, the server 1 selects about 3 clinics including the dental clinic where the sum C is the maximum as recommended clinics for the patient a (S10). Data relating to the calculation of the sum C and selection of recommended clinics is, for example, as shown in FIG. In the example of FIG. 7, the dental clinic B having the largest sum C and the dental clinic D having the next largest are selected.

  When the recommended clinic is selected, the server 1 transmits the dental office information of the selected dental clinic to the patient terminal computer 4x (S11). The transmitted information regarding the selected dental clinic is received and displayed by the patient terminal computer 4x (S12). In this way, the patient can obtain information about the dental clinic that suits him and the clinic.

  The server 1 further accumulates the above-described treatment content i selected as having a high degree of fitness for the patient for all patients in the specific area (accessed patients) (S13). The accumulated data can be displayed in the dental clinic information in comparison with the data related to the treatment content i that the dental clinic in the area has a treatment record (that is, the degree of proficiency is not zero). It is transmitted when accessed from the terminal computer 3x on the side, and is used for browsing on the dental clinic side (S14). Thereby, the dental clinic can know the content of the treatment that is lacking in the area despite the need of the patient in the area, and can further improve the dental service.

  S7 to S10 in FIG. 2 can be implemented by using the matching determination shown in FIG. 8 instead. In FIG. 8, “page number” indicates a number at which the patient selects each option through an inquiry (S5 and S6 in FIG. 2) of net counseling (dental clinic search method). Numbers such as 72 and 73 in the “box” portion surrounded by a thick line frame are numbers assigned to medical items (treatment contents i). The server stores each medical item 72, 73, etc. so as to be selected as having a high degree of fitness according to the inquiry result (page number). Each stored medical item is grouped by adding a multiplication value such as “× 1.0 item” or “× 0.8 item” corresponding to each page number. The multiplication value is a probabilistic numerical value of the treatment item. For example, a medical item placed in “item of × 1.0” is very likely to be treated, and “× 0.2 The treatment item “item” is considered to be non-zero although the possibility of treatment is low. Further, the items stored in “essential items” are associated with each other so that dental clinics that do not have (or are good at) the medical treatment items are excluded from the selection.

  The degree of specialty of each dental clinic for each medical item is stored in a separate database as dental clinic information. When each patient's medical care item is selected according to the page number according to FIG. 8, the multiplication value in the medical care item group is multiplied by the proficiency level Qi of the medical care item in the dental clinic, and added to each. The total points (corresponding to the sum C) of the dental clinic are calculated. For example, for the patient whose page number is 1-1-1-3, 72 and 73 medical care items in “1.0 item” are selected. The clinic's proficiency level Qi is multiplied by 1.0 and added ("72 + 73" in the "total points" column) to obtain the total point of the dental clinic for the patient. The server selects several top dental clinics with high total points as recommended clinics.

  In order to improve the degree of agreement between the treatment items selected by net counseling and the treatment items that the patient actually received treatment at the dental clinic, the data for both items (selected and actually treated) was aggregated. It is better to feed back to the dental clinic search method. In the example of FIG. 8, the content of the “box” surrounded by the thick line frame can be corrected by such feedback, and the correction is made as appropriate based on the above totaling result.

FIG. 1A is a conceptual diagram showing an entire dental clinic search system according to an embodiment of the invention, and FIG. 1B shows a screen of a terminal computer (personal computer) 4x at a user's home. . It is a flowchart about the dental clinic search method which the said system implements. It is a conceptual diagram which shows an example of the data structure regarding treatment content information. It is a conceptual diagram which shows an example of the data structure regarding dental clinic information. It is a conceptual diagram which shows an example of the data structure regarding patient information. It is a conceptual diagram which shows an example of the data structure regarding the treatment content to a patient, and its matching degree. It is a conceptual diagram which shows an example of the data structure regarding calculation of the sum total C, and selection of a dental clinic. It is a conceptual diagram which shows an example of the data structure for a matching determination regarding the dental clinic search method a little different from the method of FIGS.

Explanation of symbols

1 Server 2 Internet 3 (3A, 3B, 3C ...) Dental Clinic 3x (Dental Clinic Side) Terminal Computer 4 (4a, 4b, 4c, 4d ...) Home 4x (Patient Side) Terminal Computer

Claims (11)

The server
1) For each of the multiple dental clinics, store dental clinic information including the degree of goodness for each treatment content, and save treatment content information including treatment content for each symptom,
2) When patient information related to the patient's symptoms is input from the terminal computer, based on the patient information and the above-mentioned treatment content information, one or more treatment details having a high degree of fitness with the patient are selected.
3) Select a dental clinic with a high degree of strength for the selected one or more treatment details as a recommended clinic from the above dental clinic information,
4) A method for searching a dental clinic, characterized in that information on the dental clinic is transmitted to the terminal computer and displayed.   2. The dental system according to claim 1, wherein the server inputs the patient information from a terminal computer via the Internet, and transmits information regarding the selected dental clinic to the terminal computer via the Internet. Clinic search method. When the patient information is input, the server digitizes the patient's fitness degree Pi for the selected treatment content i, and based on the fitness degree Pi and the dental clinic's strength Qi for the treatment content i. In addition,

The dental clinic search method according to claim 1 or 2, characterized in that, for each dental clinic, one or more dental clinics including the one having the largest sum C are selected as the recommended clinics. .   By dividing the points that the server gives equally to all dental clinics by the number of treatment contents registered in the dental clinic information as having a track record in each dental clinic, each treatment content in the dental clinic information The dental clinic search method according to any one of claims 1 to 3, wherein the degree of goodness is calculated and stored.   From the terminal computer, the server repeats transmission to the terminal computer to display a plurality of options about the symptom on the screen and reception to accept the option selected in the terminal computer from among the options. The dental clinic search method according to claim 1, wherein the patient information is input.   6. The dental clinic search method according to claim 5, wherein the server also transmits to the terminal computer a plurality of options for treatment contents and a description for displaying each treatment content on a screen.   The above-mentioned treatment contents selected by the server as having a high degree of fitness for each patient are totaled for all patients in the specific area, and the treatment contents with the degree of strength in each dental clinic are collected for all dentists in the area. The dental clinic search method according to any one of claims 1 to 6, wherein the clinics are tabulated and both tabulated results are stored.   The server receives the actual treatment contents of each patient in the dental clinic, and quantifies the degree of coincidence between the one or more treatment contents selected by the above and the actual treatment contents for each patient. The dental clinic search method according to claim 1, wherein the treatment content information or the treatment content selection method is modified so as to increase a numerical value. a) a plurality of terminal computers that input and transmit patient information of each patient regarding symptoms;
b-1) For each of the dental clinics, store dental clinic information including the degree of specialty for each treatment content and treatment content information including the treatment content for each symptom. b-2) By receiving from the terminal computer Based on the above patient information, select one or more treatment details with a high degree of fitness with the patient based on the patient information and the above treatment content information. B-3) Selected one or more treatment details Select a dental clinic with a high degree of strength from the above dental clinic information as a recommended clinic, and b-4) a server that transmits and displays information about the dental clinic to the terminal computer,
A dental clinic search system characterized by being connected.   The dental clinic search system according to claim 9, wherein the terminal computer and the server are connected via the Internet. The server quantifies the patient's fitness degree Pi for the selected treatment content i (i = 1 to n, where n is the total number of treatment contents), and the dental clinic's strength in the fitness degree Pi and the treatment content i Based on the degree Qi,

11. The calculation unit according to claim 9, further comprising a calculation unit that calculates one for each dental clinic and selects one or more dental clinics including the one having the largest sum C as the recommended clinics. Dental clinic search system.

Images