KR20110047720A - System and method for valuation of business about opening of medical center - Google Patents

Abstract

The present invention relates to a business evaluation server for a practitioner and a method thereof. The present invention, when receiving a practitioner information including a practitioner location and medical treatment from the user, grasps the first commercial rights, including a practitioner location, collects business-related information related to the first commercial rights and the medical treatment and demographic information Analyze and identify the population characteristics identified by the statistical information about the residents and the place of residence in the first business area, and the sales level and growth potential of each medical subject in the first business area by using the card usage history and telephone number management information. Analyze and grasp the commercial features, including, and analyze and understand the degree of competition including the distribution of clinics by the treatment subjects in the first business area using demographic information and phone number management information, and then identify the population of the first business area. Generates a feasibility evaluation result by combining features, commercial features and competition, and provides the result to the user.

Description

Feasibility assessment server for practitioners and its method {System and method for valuation of business about opening of medical center}

The present invention relates to a business evaluation service for a start-up business, and more particularly, to a server and a method for evaluating the business performance for a medical business to be newly opened.

Generally, opening a new business requires a lot of effort and money. In particular, the founder spends a lot of time gathering preliminary information in order not to fail because of fear of failure.

The preliminary information collected by the founder is information to determine whether the business is in a business location (hereinafter referred to as "opening location"), for example, the location of the business, the business area containing the opening location, Number, sales, and population distribution in the business district.

However, the founder has a lot of costs and difficulties, such as selling a product or requesting a specialist to collect information to obtain such prior information. And even if the founder collects the prior information, it is difficult to evaluate the business feasibility of the business without the help of experts. Therefore, if a founder wants to easily start a business of a certain industry in a specific region, a service or system is required to evaluate the business performance of the particular business.

In particular, in the case of Soho medical industry, unlike the general industry, even if the same location according to the subject (ie medical sector), the business performance is evaluated at all. The subjects in the medical industry are divided into internal medicine, urology, gynecology, plastic surgery, pediatrics, neuropsychiatry, ophthalmology, surgery, otolaryngology, orthopedic surgery, diagnostic radiology, dentistry, dermatology and oriental medicine.

For example, in areas where large flats of apartments are concentrated or high-class housing complexes (commercial areas) are mainly populated by people with a high economic age, small apartments or houses are densely populated, and women who are newly married are more likely to be married than those who have many newly married couples. The number of users is small.

Therefore, there is a need for a service or a system that enables a medical practitioner who wishes to open a new business to receive a business evaluation based on a medical subject and a medical practice location anytime, anywhere.

The technical problem of the present invention is to provide a business evaluation server and a method for a medical practitioner to enable a new medical practitioner to be easily assessed the business performance according to the opening location and medical subjects.

The present invention for achieving the technical problem of the present invention provides a business evaluation server for a practitioner to provide a business evaluation to users who wish to open a medical practice. The business feasibility evaluation server grasps an interface unit that allows a user to input practitioner information including a practitioner location and a medical subject, a first commercial right including the practitioner location, and a business feasibility associated with the first commercial and the medical subject. Information collection unit for collecting the relevant information-including card usage history, demographic information, telephone number management information, and the statistical information about the residents and the place of residence in the first business area using the demographic information Demographic feature identification unit for analyzing and grasping demographic characteristics, and commercial feature for analyzing and identifying commercial feature including sales level and growth for each medical subject in the first commercial area using the card usage history and the telephone number management information. Determination unit, using the demographic information and the telephone number management information for the distribution of the clinics for each treatment subject in the first commercial area Competitiveness grasping unit for analyzing and grasping the degree of competition to include, and generates a business feasibility evaluation result by combining the demographic characteristics, the commercial characteristics and the degree of competition of the first commercial area identified by each grasping unit And a business evaluation unit for providing a result to the user.

In addition, the present invention for achieving the technical problem of the present invention provides a business evaluation method for the practitioner in the business evaluation server. The method for evaluating business feasibility may include (a) receiving opening information including opening positions and medical treatments from a user, (b) identifying a first trading space including the opening positions, and Collecting related business feasibility-related information, including card usage history, demographic information, and telephone number management information; and (c) statistical information on residents and residences in the first business area using the demographic information. Analyzing and identifying demographic characteristics identified as (d) analyzing and identifying commercial characteristics, including sales level and growth potential, for each medical subject in the first commercial area using the card usage history and the telephone number management information; (E) analyzing and identifying the degree of competition including the distribution of clinics by the treatment subjects in the first business area using the demographic information and the telephone number management information; And (f) generating a business evaluation result by combining the demographic characteristics, the commercial feature and the degree of competition of the first commercial area identified by each grasp, and providing the generated business evaluation result to the user. It includes.

According to the present invention, a medical practitioner who wants to open a business can easily check whether the business (commercial location) and the business feasibility according to the treatment subject to be opened, so that the practitioner can easily and quickly prepare for a small cost.

In addition, according to the present invention, it is possible to easily determine whether the loan or the degree of the loan by using the results of the business feasibility to the medical practitioner applying for a loan for the opening of business in the financial industry, such as banks.

DETAILED DESCRIPTION Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art may easily implement the present invention. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In the drawings, parts irrelevant to the description are omitted in order to clearly describe the present invention, and like reference numerals designate like parts throughout the specification.

Hereinafter, a business feasibility evaluation server for a medical practitioner for a medical practitioner and a method thereof will be described with reference to the accompanying drawings.

First, the concept of the present invention will be described with reference to FIG. 1 to assist in understanding the present invention. 1 is a conceptual diagram schematically illustrating a business feasibility evaluation server for a practitioner according to an embodiment of the present invention and a method thereof.

The practitioner 10 who wants to open a hospital (that is, a clinic) finds a place to open a business, and there is an urgent need for the feasibility evaluation information on whether or not to succeed in opening a business at the place. The present invention provides business feasibility evaluation information through the business feasibility evaluation server 100 located on the Internet so that the practitioner 10 who wants to open such a parliamentary practitioner 10 can easily be provided with the business feasibility evaluation information for the practitioner.

Therefore, the practitioner 10 accesses the business feasibility evaluation server 100 through the Internet and provides business information to the business feasibility evaluation server 100 (S1), and performs a process of requesting the feasibility evaluation (S2). The business feasibility evaluation server 100 may be provided with a business feasibility evaluation result which is business feasibility evaluation information (S5).

Here, the practitioner information provided by the practitioner 10 to the business feasibility evaluation server 100 includes the practitioner's location, which is the location of the member of the practitioner, as the basic information, as shown in FIG. The evaluation server 100 can grasp.

In addition, the opening information includes information on the subjects of medical treatment in charge of opening a clinic as basic information. As described in the prior art, the subjects of medical treatment in the medical industry are different in the sales and growth potential even in the same region.

Of course, the practitioner information may further include additional information in addition to the practitioner location and the subject of treatment, this additional information may vary depending on the needs of the designer or user (including practitioner) of the business evaluation server 100. For example, the additional information may include the number of practitioners (including the number of members), the education and career of the member, and the initial capital and loans.

Accordingly, the business feasibility evaluation server 100 collects information related to a business right and information related to a medical treatment subject from the outside based on the business information provided by the practitioner 10 when requesting the feasibility evaluation (S3).

Of course, if the information related to the commercial rights and the information related to the treatment subject is stored in advance in the business evaluation server 100, information may not be collected from the outside each time the business evaluation request. However, since information is always variable, it is desirable to collect information from the outside at every cycle. In order to provide accurate information, it is ideal to collect information at every request for feasibility evaluation.

Hereinafter, the information collected by the business feasibility evaluation server 100 through the S3 process is referred to as "business feasibility information."

The business feasibility evaluation server 100 analyzes the business feasibility information collected when the business feasibility information is collected, and generates feasibility evaluation information such as whether the practitioner 10 succeeds in opening a member of the business office based on the business location. (S4), and provide (S5).

Here, the evaluation item of the feasibility evaluation information is changed according to the intention of the designer, and accordingly the information of the detailed items of the feasibility evaluation information is changed. However, even if the detailed item information is different, the detailed item information constituting the feasibility evaluation information is related to at least one of the information related to the commercial rights and the treatment subject, and also the information related to the sales information.

Hereinafter, a business feasibility evaluation system according to a first embodiment for implementing the concept of the present invention described with reference to FIG. 1 will be described with reference to FIG. 2. 2 is a diagram illustrating a network configuration of a business feasibility evaluation system for practitioners according to a first embodiment of the present invention.

As shown in FIG. 2, the business feasibility evaluation system for a medical practitioner according to the first embodiment of the present invention includes a business feasibility evaluation server 100, a financial legacy system 200, a statistical office server 300, and a communication service provider server 400. ) And the card company server 500.

The financial legacy system 200 is a financial system managed by a specific financial company. The financial legacy system 200 performs all service operations or additional operations provided by the financial institution, and stores and manages various financial information. When the business feasibility evaluation server 100 is a server managed by the financial institution, the business feasibility evaluation server 100 is connected to the financial legacy system 200 by a local network.

Statistics server server 300 is a server managed by the Statistics Office, stores the demographic information for each administrative area (or other divisions) of the country, and provides the stored demographic information when the information request of the business feasibility evaluation server 100. The demographic information is public information that is managed by the National Statistical Office. For example, the demographic information includes information such as the total population, age group information, and gender population living in a certain district (eup, town, town, city, etc.).

The service provider server 400 is a server managed by a service provider, and is a server that stores and manages phone numbers provided to users by region by industry. For example, the service provider server 400 corresponds to a server managed by KT Co., Ltd. in Korea.

In general, if the user calls 114 and mentions the region, store name or business name, KT's 114 service provides the phone number of the business (shop) located in the area. Such 114 information service is possible because the system of the service provider that provides 114 information service manages the phone number according to the store or the industry by region.

The service provider server 400 is managed by a phone service provider that stores and manages phone number information (hereinafter referred to as “phone number management information”) according to a store or a business type by region, such as a system (or server) that provides 114 information service. Server. The communication service provider server 400 divides the telephone number management information stored at the time of requesting the information from the business feasibility evaluation server 100 on the basis of the commercial rights and provides it to the business feasibility evaluation server 100. Of course, the telecommunication service provider server 400 may provide phone number management information for the specific region partitioned when the specific region designated by the business feasibility evaluation server 100 is partitioned.

The phone number management information can know the number of each company located in a particular commercial area, whether each company has been closed or opened within a certain period of time, the existence of each company and the number of months. This information can be identified by using the phone number management information because the phone number is managed separately by the company, and also when the company changes (in case of opening or closing of the business), the phone number is changed, disappeared or newly created. .

The card company server 500 stores a usage history (card usage history) using a card of a corresponding card company for a specific period (for example, a month) for each company (eg, a shop, a member of a hospital, etc.). The card company server 500 provides the card usage history for each company stored at the time of requesting the information of the business feasibility evaluation server 100 based on the commercial rights. Of course, the card company server 500 may provide a card usage history for the specific area partitioned when the specific area designated by the business feasibility evaluation server 100 is partitioned.

The business feasibility evaluation server 100 is connected to the user terminal 11 by a network, and is connected to the financial legacy system 200 by a local network (core network), and the National Statistical Office server 300 and the service provider server 400. The card company server 500 is also connected via a network.

The business feasibility evaluation server 100 receives the opening information from the user terminal 11 and according to the basic information included in the opening information (commercial office, medical treatment subject, etc. belonging to the opening doctor), the National Statistical Office server 300 and the communication service provider server ( 400 and the card company server 500 to collect business-related information, that is, demographic information, card usage history and telephone number management information. In addition, the business feasibility evaluation server 100 requests and collects desired information from the financial legacy system 200 when necessary.

The business feasibility evaluation server 100 analyzes the business feasibility information using the collected business feasibility information to generate business feasibility evaluation information (result information) and provides it to the user terminal 11.

Hereinafter, the configuration of the business feasibility evaluation server according to the first embodiment of the present invention will be described in more detail with reference to FIG. 3. 3 is a block diagram of a business feasibility evaluation server for a practitioner according to a first embodiment of the present invention based on FIG. 2, which is a case of performing business feasibility evaluation through location analysis.

As shown in FIG. 3, the business feasibility evaluation server 100 according to the first embodiment of the present invention may include an interface unit 110, an information collection unit 120, a database 130, a population characteristic identification unit 140, It includes a commercial feature identification unit 150, competition degree identification unit 160 and business feasibility evaluation unit 170.

The interface unit 110 is responsible for the interface with the user terminal 11. The interface unit 110 allows the user to enter the opening information, that is, opening location and medical treatment, to check the results of the business feasibility evaluation, and the user requests the desired information from the various information provided by the business feasibility evaluation server 100 To be provided.

The information collecting unit 120 uses the opening information received through the interface unit 110 to grasp the commercial right to evaluate the business to the opening location, and collects the business related information related to the identified business right and the treatment subject.

In this case, the information collecting unit 120 includes a commercial area identifying unit 121 to determine the commercial area according to the opening location. The commercial zone identification unit 121 divides the whole country into a total of 324 units at the district level or city level. For example, 92 Seoul, 46 Gyeonggi, Incheon 8, Gangwon 18, Daejeon 8, Chungnam 16, Chungbuk 12, Daegu 11, Busan 20, Ulsan 6 It is a commercial area, 20 Gyeongsangnam-do, 23 Gyeongbuk, 5 Gwangju, 22 Jeonnam, 14 Jeonbuk, and 2 Jeju.

In order to collect the information, the information collecting unit 120 connects to the Statistics Office server 300, the communication service provider server 400, and the card company server 500, which are external devices, and requests and obtains business-related information from each server. In addition, the information collecting unit 120 accesses the financial legacy system 200 to collect business-related information, if necessary.

Therefore, the business-related information collected by the information collection unit 120 includes phone number management information of each company (shop, company, etc.) related to a specific commercial area, card usage history and demographic information of each company.

The database 130 classifies and stores the business-related information collected by the information collecting unit 120 according to the type of information.

The demographic feature identification unit 140 analyzes and grasps the demographic characteristics identified as statistical information on residents and / or inhabitants living in a particular commercial area using demographic information collected by the information collection unit 120.

On the other hand, the demographic feature grasping unit 140 may further have a function of determining a demographic profile for the analyzed / grasped population feature. Demographics ratings are intended to compare the demographics (i.e., demographic characteristics) of the commercial area that you have identified with other commercial areas. Grades will be elevated, for example, if there is a favorable residential character for the subject. The demographic grade is determined according to the preset grade information, and the grade is arbitrarily determined by the designer, such as divided into heavy weights and divided into 1 to 10 grades. Since the method of determining the grade follows a conventional method, detailed description thereof will be omitted.

The commercial feature identification unit 150 analyzes and identifies the commercial feature for a specific commercial using the card usage history and phone number management information collected by the information collection unit 120. Here, the characteristics of the commercial area are the sales level of the monthly (or yearly) sales by each medical department (or by the councilor) in the commercial area, the number (distribution) of each medical service in the relevant commercial area, and the annual sales by each medical department (or by the councilor). It includes at least one of increase or decrease, sales comparison with other merchants, and division of merchants.

Here, the commercial area classification is divided into eight commercial areas, including high-income residential area, low-income small town and rural area, middle-class residential and business mixed area and industrial complex, middle-class residential / commercial area, middle-class residential area, middle-class business area, It is divided into middle class residential and business mixed area. The information on the classification of commercial rights is stored in correspondence with information of each of the 132 commercial rights.

In addition, information such as increase or decrease of sales, comparison of sales with other merchants, and division of merchants may be used as data for identifying the growth potential of a particular industry in the merchant.

Competition degree grasping unit 160 uses the demographic information and phone number management information collected by the information collection unit 120 to grasp the degree of competition for the medical (or medical subject) of the relevant commercial area. Competitiveness is an indication of how much superiority is in the same category of medical care or in the same industry as other businesses.

Meanwhile, the commercial feature checker 150 may further have a function of determining a commercial feature feature level with respect to the analyzed commercial feature. The commercial feature class is to compare the amount of sales (or growth) of the commercial with the other commercial firms, and the sales of the whole business are high, the sales of the medical industry in the business are high, or the medical subjects within the business. If the sales are high, or if there is a high correlation between the business category of the commercial area and the subject, or the like, the grade is increased. Such commercial feature grade is determined according to the preset grade information, and the grade is arbitrarily determined by the designer, such as divided into upper and lower loads, or divided into 1 to 10 grades. Since the method of determining the grade follows a conventional method, detailed description thereof will be omitted.

In order to grasp the degree of competition, the competition degree grasping unit 160 shows the opening rate, the closing rate, the closing of the number of new businessmen, the number of general clinics per 1,000 people, the average workforce, the long-term workforce, the share of single business, and the subjects of medical treatment. Identify at least one member, including the number of members, and identify the degree of competition based on the information.

The opening rate is obtained using the telephone number management information, and is calculated, for example, as the ratio of new councilors within 7 months (i.e., M + 1-M + 6) to the number of councilors in M month. The closure rate is obtained using the telephone number management information, and is calculated as the ratio of the closing number of employees within 7 months (M + 1-M + 6) to the number of members in M month.

The ratio of closing business to the number of new openings is obtained by using phone number management information, and is calculated as the closing rate of the opening of the business area. The proportion of general clinics per 1,000 population is obtained using demographic information and phone number management information, and is calculated as the number of general clinics relative to the total population in the commercial area. The average career is obtained using the telephone number management information, and is calculated as the number of months elapsed from the opening date to the present day for lawmakers in the commercial area.

The share of long-term business power is obtained by using telephone number management information, and is calculated as the ratio of the number of lawmakers with at least three years of work experience to the total number of lawmakers in the business area. The ratio of single company power is obtained using telephone number management information, and is calculated as the ratio of the number of lawmakers within six months of the work force to the total number of lawmakers in the commercial area. The number of clinics for each treatment subject is obtained by using phone number management information, and is calculated as the number of clinics for each of the 14 treatment subjects in the commercial area.

Meanwhile, the competition grasping unit 160 may display the opening rate, the closing rate, and the average performance by dividing it into upper, intermediate, and lower grades, wherein the upper grade is 1.5 times or more of the average value, and the intermediate grade is 0.5 times or 1.5 times the average value. Fold and inferior are less than 0.5 times average value. The average values for opening rate, closing rate, and average capacity are obtained for the whole business area.

The competition grasping unit 160 determines the degree of competition using the numerical values of each item (opening rate, closing rate, long-term business force, etc.). This degree of competition is determined according to preset grade information.

The business feasibility evaluation unit 170 receives and synthesizes the information grasped by the population characteristic grasping unit 140, the commercial feature grasping unit 150, and the competition degree grasping unit 160 to generate and provide a business feasibility evaluation result. That is, the business feasibility evaluation unit 170 generates a graph or a table in correspondence with the analysis results of the information received from the demographic feature grasping unit 140, the commercial feature grasping unit 150, and the competition grasping section 160. Or generate a result analysis result statement, and also synthesize the received analysis result to generate a final grade or a final evaluation result statement (see FIG. 8).

Hereinafter, an example of the main part of the business feasibility evaluation server according to the first embodiment of the present invention will be described in detail. 4 is an exemplary view showing the detailed configuration of the main portion of the business evaluation server for the practitioner according to the first embodiment of the present invention shown in FIG.

As shown in FIG. 4, the database 130 includes a demographic DB 130, a sales information DB 132, a phone number DB 133, a business status DB 134, and a user information DB 135. .

The demographics DB 131 stores the demographic information collected from the National Statistical Office server 300 by 324 commercial areas. The sales information DB 132 stores the card usage history collected from the card company server 500 by 324 commercial areas. The phone number DB 133 stores phone number management information collected from the telecommunication service provider server 400 for each of the 324 commercial areas.

The industry information DB 134 stores industry grades for each industry for 132 commercial areas. In this case, the industry rating is the same as the credit rating of each individual who is used jointly by the financial sector, and is the sales rating of each merchant. Industry ratings are determined by the same type of industry and are calculated based on the merchant and the sales of the merchant.

In detail, the industry rating is calculated based on the commercial rights, and is calculated using the industry index growth index, the total sales growth index, the industry sales growth index, the industry index relative index, and the industry sales index.

The sector growth index is calculated as the ratio of the opening and closing rates of a particular sector within a certain trade zone. The higher the opening rate, the higher the growth index in a particular trade zone.

The gross sales growth index is calculated by the sales growth of all sectors located in a particular business area. The larger the growth rate, the higher the gross sales growth index in a particular business area.

The sector sales growth index is calculated based on the increase or decrease of sales of a certain sector within a certain trade zone. The larger the growth rate, the higher the sales growth index for a particular sector in a particular trade zone.

Sector Relative Index indicates the difference between the number of specific businesses that actually exist in comparison to the number of specific industries expected for the size of the trade. The smaller the number of merchants compared to the size of the trade, the more relative the number of industries for a specific industry. The index is high.

The sector sales relative index is a comparison of the average sales of a particular industry in a particular trade area against the average sales of a particular industry in the country.If the average sales of a given industry in a particular business area are high, the relative sales index of the industry in that trade area Appears high.

The user information DB 135 stores personal information and opening information about a user who has requested a business evaluation, and business evaluation information (business evaluation result) provided to the user by the business evaluation server 100.

Here, the business status information DB 134 may be omitted according to the intention of the manager or designer of the server 100, and a DB for storing information other than the DBs 131 to 135 may be added.

The demographic characteristics grasping unit 140 includes a population distribution analyzing unit 141 and a housing type analyzing unit 142. The population distribution analysis unit 141 analyzes the population distribution by gender / age group in the corresponding commercial area using the demographic information stored in the demographic DB 131.

At this time, the distribution of the population is the share of the total population and the population of each age group / gender. The share of the total population in the trade zone is the ratio of the population in the trade zone to the total population of the administrative districts (eg, cities, counties, etc.) containing the trade zone. The proportion of population by age group / gender is the ratio of the population of the corresponding age (or gender of the corresponding age group) to the total population in the commercial area.

The housing type analysis unit 142 analyzes the types of housing (eg, number of detached houses, apartment lakes, etc.) in the commercial area using demographic information. The types of housing analyzed are the ratio of apartments to total houses and the number of single-family homes. The ratio of apartments to total housing is the ratio of apartment lakes to housing units, and the ratio of single-family homes to housing is the ratio of single-house lakes to housing.

The commercial feature identification unit 150 includes a sales analysis unit 151, a growth analysis unit 152, and a rear facility analysis unit 153. The sales analysis unit 151 calculates an average amount of monthly sales of each medical industry in the commercial area using the card usage history of the sales information DB 132 and the phone number management information of the phone number DB 133. Of course, the sales analysis unit 151 calculates monthly sales for each member of the medical industry in the commercial area.

The growth analysis unit 152 uses the monthly sales and average amount of each medical industry in the commercial area calculated by the sales analysis unit 151 and the sales information DB 132 and the industry information DB 134 for each medical industry and company. At least one of the monthly (or yearly) sales level (by lawmaker), the number of companies in the business area (vendor distribution), the increase or decrease of sales by each company, the sales comparison with other business areas, the business classification, the business class rating, etc. Analyze the above.

The background facility analysis unit 153 analyzes the background facilities in the corresponding commercial area using the phone number management information of the phone number DB 133. Here, the characteristics of the background facilities indicate whether the apartment (or housing) area, the factory area, or the office area are identified by analyzing the types of business distributed in the commercial area.

The competition degree detecting unit 160 includes a parliamentary distribution analysis unit 161, a density analysis unit 162, a marketability analysis unit 163, and a stability analysis unit 164.

Parliamentary distribution analysis unit 161 uses the phone number management information to determine the number of clinics for each treatment subject, the density analysis unit 162 uses the telephone number management information to determine the proportion of general clinics per 1,000 population. The marketability analysis unit 163 grasps the average performance, the proportion of long-term firms, and the proportion of short-term firms. The stability analysis unit 164 grasps the opening rate, closing rate, and closing ratio of the number of new openings.

Hereinafter, a business feasibility evaluation method for a medical practitioner according to a first embodiment of the present invention will be described with reference to FIG. 5. FIG. 5 is a flowchart illustrating a method for evaluating business feasibility for a practitioner according to a first embodiment of the present invention based on FIG. 4.

As illustrated in FIG. 5, the interface unit 110 of the business feasibility evaluation server 100 provides an interface (or a web page) for communication when the user terminal 11 is connected (S501).

Through such an interface, the user terminal 11 logs in, requests a business evaluation, and provides opening information such as a business location and a treatment subject according to the business evaluation request. At this time, the interface for entering the opening location provides a map for selecting the opening location, a list of administrative districts, or a list of commercial areas, and the interface for entering the opening section provides a list of the subjects (medical industry list) from which the subjects can be selected. do.

The request for the evaluation of the business feasibility and the input of the opening of the business information are received by the information collecting unit 120 through the interface unit 110 (S502), the commercial authority grasp unit 121 of the government collecting unit 120 to the business feasibility evaluation request. Accordingly, by using the opening location included in the opening information received from the user terminal 11 to determine the commercial area including the opening location (S503).

In addition, the information collection unit 120 is connected to the Statistics Office server 300, the service provider server 400 and the card company server 500, respectively, the feasibility of demographic information, card usage history and telephone number management information related to the identified business rights Collect related information (S504).

On the other hand, if the information collection unit 120 at least once within the set period of the collection of business-related information for a particular commercial area, the information collection unit 120 to use the information stored in the database 130 without collecting the business-related information.

When the information collection unit 120 finishes collecting the business-related information, the collected business-related information is classified according to the characteristics of the information and stored in the corresponding DB in the database 130. For example, the information collecting unit 120 stores the card usage history of the business-related information in the sales information DB 132, the demographic accounting report is stored in the demographics DB 131, the phone number management information is a telephone number DB ( 133).

When the storage of such information is completed, each grasping unit 140 to 160 performs basic analysis for business feasibility evaluation based on the collected business feasibility information.

In other words, the demographic feature identification unit 140 analyzes the demographic characteristics of the commercial area using demographic information (S505), and the commercial feature identification unit 150 uses the card usage history and telephone number management information to determine the commercial feature. Analyze (S506), the competition analysis unit 507 analyzes the competition using the phone number management information (S507).

Each grasp 140 to 160 provides the analysis result to the business feasibility evaluation 170.

The business feasibility evaluation unit 170 derives and generates a result statement corresponding to each analysis result received from each grasping unit 140 to 160 from stored information, and generates a graph for numerical information of each analysis result, and then generates each result. The statement and the graph are combined and provided to the user terminal 11 (S508).

An example of the result statement and the graph provided in step S508 is shown in FIG. 8. 8 is an exemplary diagram for describing an output of a business feasibility evaluation result provided to a user according to an exemplary embodiment of the present invention.

As shown in FIG. 8, the business feasibility evaluation unit 170 uses the analysis results received from each grasping unit 140 to 160 to determine the demographic status and the commercial area, which is a result corresponding to the demographic characteristics in the location (ie, the corresponding commercial area). It provides the sales status and industry grade, the result of the characteristics, and the status of the members, the result of the competition.

Population status in the location is a result obtained through the analysis results of the population feature identification unit 140, the contents of the "population status in the location" shown in FIG.

Population in the location: The total population of your clinic is 46 thousand, which is 0.5% of the metropolitan city, which is a low level. The number of apartment lakes around the house is 127 hundred lakes, which is 97.5% of the total housing facilities in the neighborhood. In addition, the contents of the population status in the location are shown in a table of demographic characteristics by age group and include a brief description of the table.

The sales grade is a result statement obtained through the analysis result of the commercial feature identification unit 150. As an example, the contents of the “sales grade” illustrated in FIG. 8 are as follows.

Sales Rating: Based on the total credit card sales statistics, your location is 31427 thousand won per business (average credit card sales amounted to 25,805 thousand won). Based on the standard, the average monthly credit card sales per parliament is 25,805 thousand won (the average total credit card sales of 10998 thousand won), which is estimated to be superior compared to other regions. In the region, 59.6% (27.7% of the total average) accounted for more than 10 million won of credit card sales per month, which is higher than the average.

The business condition grade is a result statement obtained through the analysis result of the commercial feature characterization unit 150. As an example, the content of the "business condition grade" shown in FIG. 8 is as follows.

Industry Status: The area where your clinic is located is a high-income residential area, and the major sectors in the commercial area are medical services and restaurants. The region has similar characteristics of general business as in other regions. In terms of business growth in the region, Hana Bank is expected to have an excellent growth potential with a grade 2, which assesses the level of business in the region.

In addition, the present condition is a result statement obtained through the analysis result of the competition degree grasping unit 160. As an example, the content of the "current state of parliament" shown in FIG. 8 is as follows.

Clinic Status: The number of clinics (including general clinics, dental clinics, and oriental clinics) in the area where your clinics are located is 229. The number of clinics in your clinics is 71, which is higher than the average. In addition, there are two general clinics per 1,000 people (an average of 0.6), which is more than twice as many as the population.

The average count of all members in the region is four years, similar to the average of 4.5 years. In addition, based on the distribution of the number of lawmakers in the region, 46.7% of long-term firms with more than three years of employment are represented, and 13.6% of short-term employees with less than six months of employment. In addition, the average opening rate (opening rate) of all lawmakers in the region for the last six months was 7.4% (total average opening rate 6.5%), and the closing rate (close rate) was 4.4% (overall average 5.3%). Is 58.8%. In addition, the opening rate of clinics in the region is similar to that of the whole, and the closing rate is similar to that of the whole.

Hereinafter, a modified example of the business feasibility evaluation server according to the first embodiment of the present invention will be described with reference to FIG. 6. 6 is another exemplary view showing the detailed configuration of the main portion of the business evaluation server for the practitioner according to the first embodiment of the present invention shown in FIG.

As shown in FIG. 6, the feature grasping unit 140, the commercial feature grasping unit 150, and the competition grasping unit 160, which are main components of the business feasibility evaluation server according to the first embodiment of the present invention, respectively, are grade determination units. (143, 154, 165) is further included.

Each grade determining unit 143, 154, 165 determines the grade by combining the analysis results output from the analysis unit of the configuration.

In detail, the grade determining unit 143 may include item values related to the subject of treatment (eg, age / gender ratio, apartment or officetel weight, etc.) among the results analyzed by the population distribution analyzer 141 and the housing type analyzer 142. To determine the grade. In this case, the higher the value of the item related to the subject, the higher the level, and the criteria for determining the rating apply equally to all other commercial areas. That is, the grade determining unit 143 is set a criterion for determining the grade.

The grade determining unit 154 aggregates the results analyzed by the sales analyzing unit 151, the growth analysis unit 152, and the rear facility analyzing unit 153, and the grade is the sales of each member (or the sales of all members). The higher the growth rate, the higher the background and the more relevant the facility is to the health care or the medical field, the higher the rating.

The grade determining unit 165 determines the grade by combining the results analyzed by the parliamentary distribution analysis unit 161, the density analysis unit 162, the marketability analysis unit 163, and the stability analysis unit 164. In this case, the higher the value of the item related to the subject, the higher the level, and the criteria for determining the rating apply equally to all other commercial areas. That is, the grade determination unit 143 is set a criterion for determining the grade.

Hereinafter, a business feasibility evaluation method for a practitioner according to a second embodiment of the present invention will be described with reference to FIG. 7. FIG. 7 is a flowchart illustrating a method for evaluating business feasibility for a practitioner according to a second embodiment of the present invention based on FIG. 6.

As illustrated in FIG. 7, the interface unit 110 of the business feasibility evaluation server 100 provides an interface for communication when the user terminal 11 is connected (S701), and requests for a business feasibility evaluation from the user terminal 11. Accordingly, the practitioner information is received (S702).

 The commercial rights identifying unit 121 uses the opening location included in the opening information received in response to the business feasibility request, to identify the commercial area including the opening location (S703). The information collecting unit 120 is connected to the Statistics Office server 300, the communication service provider server 400 and the card company server 500, respectively, demographic information related to the commercial rights provided from the commercial area identification unit 121, card usage history and telephone Business-related information such as number management information is collected and stored in a database (S704).

When the storage of such business-related information is completed, the demographic characteristic identification unit 140 analyzes each item of the demographic characteristics of the commercial area by using the demographic information (S705), and uses the analyzed result in the corresponding commercial area. Determine the grade of the population characteristics (S706).

The commercial feature identification unit 150 analyzes each item on the commercial feature of the commercial by using the card usage history and phone number management information (S707), and determines the grade of the commercial feature for the commercial using the analysis result. (S708).

In addition, the competition analysis unit 507 analyzes the competition using the phone number management information (S709), and determines the grade using the analysis results (S710).

Each grasp 140 to 160 provides the analysis result to the business feasibility evaluation 170. The business feasibility evaluation unit 170 generates a graph or / and a result statement corresponding to the grade of the demographic feature, the grade of the commercial feature, and the grade of the competition received from each grasp 140 to 160 (S711).

Then, the business feasibility evaluation unit 170 determines the final grade, that is, the grade representing the final feasibility evaluation result by combining the grade of the population characteristic, the grade of the commercial feature, and the grade of competition (S712). The final grade is determined by summing up the scores assigned to the grades of demographic features, the grades of commercial features, and the grade of competition, or the result of adding the weights assigned to each grade to the scores assigned to each grade. It is determined by such a method. For example, the score of each grade may be equal to 5 points in the upper grade, 3 points in the intermediate grade, and 1 point in the lower grade, and weighting may be given in a general form, that is, a method of score * weight.

Finally, the business feasibility evaluation unit 170 provides the generated graph or / and the result statement and the final grade to the user terminal 11 requesting the business feasibility evaluation (S713).

Hereinafter, a business feasibility evaluation system for a practitioner according to a second embodiment of the present invention will be described with reference to FIG. 9. 9 is a diagram illustrating a network environment of a business feasibility evaluation system for practitioners according to a second embodiment of the present invention.

As shown in FIG. 9, the business feasibility evaluation system for a practitioner according to a second embodiment of the present invention uses the health insurance corporation server 600 in the business feasibility evaluation system for a practitioner according to a first embodiment of the present invention. It is made of a configuration that includes more. In addition, the business evaluation server 100a of the business evaluation system for a practitioner according to the second embodiment of the present invention adds information obtained from the health insurance corporation server 600 to be business related information, and uses the business evaluation information by using the same. Create

The Health Insurance Corporation server 600 receives and manages sales information processed by medical insurance from each member, and more specifically, stores the health insurance processing history processed by medical insurance from each member. Here, the treatment history (health treatment period), treatment subject (item), prescription contents, issue date, the name of the attending physician, and the subject of medical insurance (general insurance, nursing benefits, etc.) are described in the health insurance treatment history. Therefore, the Health Insurance Corporation server 600 stores and manages information on the sales of medical insurance on the basis of the health insurance processing history, such as by the member of the council, by date, by month, by medical treatment, by medical treatment, and by medical insurance. Hereinafter, the information managed by the Health Insurance Corporation server 600 is collectively referred to as "health insurance information".

The business feasibility evaluation server 100a connects to the National Health Insurance Corporation server 600 together with the Statistics Office server 300, the communication service provider server 400, and the card company server 500, and collects health insurance information as business feasibility information.

Hereinafter, a business feasibility evaluation server according to a second embodiment of the present invention will be described with reference to FIG. 10. 10 is a block diagram of a business evaluation server for a practitioner according to a second embodiment of the present invention based on FIG.

As shown in FIG. 10, the business feasibility evaluation server 100a according to the second embodiment of the present invention requests a business evaluation from the business feasibility evaluation server 100 according to the first embodiment of the present invention. Is a form of adding a salary calculation unit 180 for evaluating the expected sales for the lawmakers to be opened, the information collection unit 120a is connected to the health insurance corporation server 600 to collect health insurance information additionally.

The database 130a further includes basic data for calculating the expected sales amount in the database 130 according to the first embodiment of the present invention, and the business feasibility evaluation unit 170a according to the first embodiment of the present invention. The function of the business feasibility evaluation unit 170 is added to the analysis result of the salary calculation unit 180 to generate a final business feasibility evaluation result.

Here, detailed configurations of the database 130a, the salary calculating unit 180, and the business feasibility evaluation unit 170a are shown in FIG. FIG. 11 is a block diagram illustrating essential parts of a business evaluation server for a medical practitioner according to a second exemplary embodiment of the present invention based on FIG. 10.

As shown in FIG. 11, the database 130a further includes a care payment DB 136 in the configuration of the database 130 according to the first embodiment of the present invention. The care benefit DB (136) stores the average of the benefits for each member of the hospital already open in each commercial area, the average of the benefits for each medical department and the non-payments for each medical area for each commercial area. have. The care benefits stored in the care benefits DB 136 are information obtained through the health insurance information collected by the information collector 120 from the health insurance corporation server 600.

The salary calculating unit 180 calculates an average amount of medical care benefit and a non-payment amount of a specific commercial area by using the health insurance information of the medical care benefit DB 136.

To this end, the expected sales calculator 180 includes a care benefit calculator 181 and a non-benefit calculator 182.

The nursing benefit calculation unit 181 calculates an average of the monthly and / or yearly benefit amount and the benefit amount based on the medical treatment of the commercial area by using the health insurance information of the benefit benefit DB 136. The non-benefit calculation unit 182 is an arithmetic operation for subtracting the amount of the nursing benefit calculated by the nursing benefit calculation unit 181 from the calculation result of the sales analysis unit 151 of the commercial rights feature identification unit 150, and the non-benefit for each medical treatment of the commercial area. Calculate the average of the monetary and non-benefit amounts.

Here, the sales analysis unit 151 of the commercial feature identification unit 150 calculates the expected month (or year) sales of the practitioner 10 who has requested a business evaluation using the card sales information of the existing lawmakers. That is, the sales calculation unit 181 extracts the card usage history of the councilor located in the commercial area by monthly or year by using the card usage history of the sales information DB 132, and examines the extracted card usage history of the councilor again. Classify by subject. Then, the sales analysis unit 151 calculates the monthly (or year) average sales for each of the medical departments of the corresponding business area by dividing the credit card usage history for each medical department of the corresponding business area. Of course, the card usage history does not reflect the total sales of the member, so we estimate that the card sales are twice or three times the monthly (or year) card sales. Here, 2 times or 3 times is the experience value obtained by comparing the calculated sales with actual sales.

The business feasibility evaluation unit 170a generates the business feasibility evaluation result in addition to the analysis results of the evaluation units 140 to 160, and provides the result calculated by the salary calculating unit 180 to the user terminal 11. The result of the feasibility evaluation of the feasibility evaluation unit 170a is a form in which the analysis results of the evaluation units 140 to 160 and the results of the expected sales calculation unit 180 are combined and provided as graphs and / or result statements, and each evaluation unit The grade corresponding to the analysis result of 140 to 160 and the grade of the result of the expected sales calculation unit 180 may be combined to determine and provide a final grade.

An example of the output of the feasibility evaluation result provided by the feasibility evaluation unit 170a is shown in FIG. 12. 12 is an exemplary diagram for describing an output of a business evaluation result provided to a user in a business evaluation server according to a second embodiment of the present invention.

The embodiments of the present invention described above are not only implemented by the apparatus and method but may be implemented through a program for realizing the function corresponding to the configuration of the embodiment of the present invention or a recording medium on which the program is recorded, The embodiments can be easily implemented by those skilled in the art from the description of the embodiments described above.

Although the embodiments of the present invention have been described in detail above, the scope of the present invention is not limited thereto, and various modifications and improvements of those skilled in the art using the basic concepts of the present invention defined in the following claims are also provided. It belongs to the scope of rights.

1 is a conceptual diagram schematically illustrating a business feasibility evaluation server for a practitioner according to an embodiment of the present invention and a method thereof.

2 is a diagram illustrating a network configuration of a business feasibility evaluation system for practitioners according to a first embodiment of the present invention.

3 is a block diagram of a business evaluation server for a practitioner according to a first embodiment of the present invention based on FIG.

4 is an exemplary view showing the detailed configuration of the main portion of the business evaluation server for the practitioner according to the first embodiment of the present invention shown in FIG.

FIG. 5 is a flowchart illustrating a method for evaluating business feasibility for a practitioner according to a first embodiment of the present invention based on FIG. 4.

6 is another exemplary view showing the detailed configuration of the main portion of the business evaluation server for the practitioner according to the first embodiment of the present invention shown in FIG.

FIG. 7 is a flowchart illustrating a method for evaluating business feasibility for a practitioner according to a second embodiment of the present invention based on FIG. 6.

8 is an exemplary diagram for describing an output of a business feasibility evaluation result provided to a user according to an exemplary embodiment of the present invention.

9 is a diagram illustrating a network environment of a business feasibility evaluation system for practitioners according to a second embodiment of the present invention.

10 is a block diagram of a business evaluation server for a practitioner according to a second embodiment of the present invention based on FIG.

FIG. 11 is a block diagram illustrating essential parts of a business evaluation server for a medical practitioner according to a second exemplary embodiment of the present invention based on FIG. 10.

FIG. 12 is a flowchart illustrating a method for evaluating business feasibility for a practitioner according to a third embodiment of the present invention based on FIG. 11.

FIG. 13 is an exemplary diagram for describing an output of a business evaluation result provided to a user in a business evaluation server according to a second embodiment of the present invention.

Claims (15)

In the business evaluation server for a practitioner to provide a business evaluation to users who wish to open a medical practice, An interface unit that allows a user to input practice information including a practice location and medical treatment, An information collection unit which grasps a first commercial area including the opening location and collects business-related information related to the first commercial area and the medical service including card usage history, demographic information, and telephone number management information; A demographic characteristic grasp unit for analyzing and grasping the demographic characteristics identified as statistical information about the residents and the inhabitants living in the first business area using the demographic information; A commercial feature identification unit which analyzes and grasps the commercial feature including the sales level and growth of each medical subject in the first commercial by using the card usage history and the telephone number management information. A competition degree grasp unit for analyzing and grasping a degree of competition including the distribution of clinics by the treatment subjects in the first business area using the demographic information and the phone number management information; and And a business feasibility evaluation unit for generating a business feasibility evaluation result by combining the demographic characteristics, the commercial power characteristic, and the degree of competition of the first commercial area identified by each grasp, and providing the generated business evaluation results to the user. Feasibility assessment server for practitioners. In claim 1, The demographic feature identification unit further has a function of determining which of the grades set the demographic feature for the first commercial area identified, The commercial feature feature identification unit further has a function of determining which of the grades set the commercial feature for the first commercial feature identified, Wherein the competition grasping unit further has a function of determining which of the grades the degree of competition is set for the identified medical treatment of the first commercial area, The business evaluation unit determines the final rating by combining the ratings provided by each grasp, characterized in that to generate and provide a business evaluation results matched to the final rating, Feasibility assessment server for practitioners. The method of claim 1 or 2, The demographic characteristics identified by the demographic characteristics identification unit includes a population distribution by gender / age group for the residents living in the first commercial area and the type of residence of the residence located in the first commercial area, Feasibility assessment server for practitioners. 4. The method of claim 3, The commercial feature character grasped by the commercial feature characterizing unit may be used to determine an average monthly sales for each medical subject (or a member of the hospital) in the first commercial volume, the growth of the medical subject in the first commercial volume, and the characteristics of the facilities behind the first commercial volume. Characterized in that, Business Assessment Server for Practitioners. In claim 4, The degree of competition determined by the degree of competition determination unit may include: distribution of clinics for each medical subject in the first commercial area, proportion of clinics to the population in the first commercial area, distribution of performances of clinics in the first commercial area, and within the first business area Including opening rate and closing rate of member of the House of Representatives, Feasibility assessment server for practitioners. The method of claim 1 or 5, The information collecting unit collects the health insurance information, which is the health insurance processing history generated in all the clinics of the whole commercial area, as well as the card usage history, the demographic information and the phone number related information, In this case, the health insurance information further comprises a salary calculation unit for calculating the average of the amount of benefit payment for each medical treatment of the first commercial area and the average amount of non-payment for each medical treatment of the first commercial area, The business feasibility evaluation unit, characterized in that for reflecting the result calculated by the pay calculation unit in the business feasibility evaluation result, Feasibility assessment server for practitioners. In claim 6, The information collecting unit collects the card usage history from the card company server, collects the demographic information from the Statistics Office server, collects the phone number management information from the telephone company server, and collects the health insurance information from the Health Insurance Corporation server Characterized by Feasibility assessment server for practitioners. In claim 6, The card usage history collected from the card company server, the demographic information collected from the National Statistical Office server, the phone number management information collected from the telephone company server, and the health insurance information collected from the Health Insurance Corporation server. Includes more databases, The information collecting unit collects the card usage history, the demographic information, the telephone number management information, and the health insurance information through the database. Feasibility assessment server for practitioners. In the business evaluation method for the practitioner in the business evaluation server, (a) receiving practitioner information, including a practitioner location and a subject from a user, (b) identifying a first business area including the opening location and collecting business related information related to the first business area and the medical treatment, including card usage history, demographic information, and telephone number management information; (c) using the demographic information to analyze and grasp demographic characteristics identified as statistical information about the residents and the residences in the first business district, (d) analyzing and identifying commercial property features including sales level and growth potential of each medical subject in the first business area by using the card usage history and the telephone number management information; (e) analyzing and identifying the degree of competition including the distribution of clinics by the treatment subjects in the first business area using the demographic information and the telephone number management information, and (f) generating the business feasibility evaluation result by combining the demographic characteristics, the commercial power characteristic, and the degree of competition of the first commercial area identified by each grasp, and providing the generated business feasibility evaluation result to the user; How to assess business feasibility for practitioners. The method of claim 9, The step (c) includes determining which class of the grading demographics for the first commercial rights is set, and the step (d) includes performing the grading of the commercial features for the first commercial area identified. Determining which grade, and the step (e) comprises the step of determining which of the grades of the degree of competition for the identified first commercial treatment subjects, In this case, the step (f) is to determine the final grade by combining the respective grades determined in the steps (c), (d) and (e) to generate and provide a business evaluation result matched to the final grade Characterized by How to assess business feasibility for practitioners. The method of claim 9 or 10, The demographic characteristics may include a population distribution by gender / age group for the residents living in the first business district and the type of residence of the place of residence located in the first business district. How to assess business feasibility for practitioners. 12. The method of claim 11, The commercial feature is characterized in that it comprises the monthly sales average for each medical subject (or member of parliament) in the first commercial area, the growth of the medical subject in the first commercial area and the characteristics of the facility behind the first commercial area, How to assess business feasibility for practitioners. The method of claim 12, The degree of competition is based on the distribution of clinics by the subjects in the first business district, the ratio of clinics to the population in the first business district, the distribution of the careers of the clinics in the first business district, and the opening and closing rates of the clinics in the first business district. Characterized in that, How to assess business feasibility for practitioners. The method of claim 9 or 12, In the step (b), the health insurance information, which is the health insurance processing history generated in all the clinics of the whole business area, as well as the card usage history, the demographic information and the phone number related information, is collected as the business feasibility information. In this case, (g) using the health insurance information further comprises the step of calculating the average of the amount of benefit payment for each medical treatment of the first commercial area and the average amount of non-payment for each medical treatment of the first commercial area, Step (f) is characterized in that for reflecting the results calculated in step (g) to the feasibility evaluation results, How to assess business feasibility for practitioners. The method of claim 14, Step (b) is connected to the card company server to collect the card usage history, access to the National Statistical Office server to collect the demographic information, access to the telephone company server to collect the phone number management information, Health Insurance Corporation Collecting the health insurance information by connecting to a server, How to assess business feasibility for practitioners.

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