JP2013089056A - Medical institution search system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To solve the problems that linkage relation among medical institutions cannot be learned in a conventional technology, especially, it has been difficult to select a clinic since where and what kind of clinic is, with what special hospital the clinic cooperates, and to what extent cooperation progresses cannot be learned when abnormality is discovered in mass examination and health screening, etc., and a patient desires to consult a nearby clinic; and as a result, a medical care occasion is missed to aggravate symptoms, and unnecessary medical expenses are required by aggravation and concurrence of complications.SOLUTION: The above problem is solved by a medical institution search system including: a receipt database in which information on a medical fee receipt including pieces of receipt data is stored; an illness name receipt sequence generation part which generates an illness name receipt sequence in which the pieces of receipt data are rearranged; a medical institution matrix generation part which generates an interrelation table of medical institutions for every illness name on the basis of introduction frequencies; and an input/output part which accepts input of keywords including the illness name to output a plurality of pieces of medical institution information.

Description

  The present invention relates to an information system that supports medical institution search using medical-related data.

  In recent years, with the declining birthrate and aging population and the increase in national medical expenses, the financial situation of insurers such as corporate health insurance associations has become severer year by year. As an insurer, more effective health measures are required in addition to the conventional health measures for insured persons (union members).

  Against this background, methods and techniques for utilizing medical remuneration statement (receipt) data for health measures have been proposed.

  For example, in the “health information display system” described in JP-A-2006-107298, personal health information is displayed in time series using health information such as a receipt including date information.

  Further, in the “Receive Management System” described in Japanese Patent Laid-Open No. 2001-350838, members of the health insurance association can browse the receipt information via the Internet.

  In addition, the “disease-specific medical fee specification analysis system” disclosed in JP-A-2001-175725 enables the analysis of medical institution evaluations, etc. by calculating the cost for each disease based on the medical fee specification. To do.

  Further, in the “management support system for medical institutions” described in Japanese Patent Laid-Open No. 2001-319041, the receipt data is analyzed by a benchmark method and the analysis result is displayed.

  Further, in the “medical institution evaluation apparatus and medical institution information providing system” described in Japanese Patent Application Laid-Open No. 2008-112390, the medical institution is evaluated with points based on the accumulated past referral data, and the medical treatment according to the disease name / symptom etc. Provide institutional information.

JP 2006-107298 A JP 2001-350838 JP 2001-175725 A JP 2001-319041 A JP2008-112390

  However, with the conventional technology, it is difficult to select a medical institution that is familiar because the expertise and cooperation of the medical institution are unknown. In particular, when an abnormality is found in a mass screening or a medical checkup and you want to visit a nearby clinic such as the workplace or home, what kind of clinic is located, where the clinic cooperates with which specialty hospital There is a problem that it is difficult to select a nearby clinic because it is not possible to know whether or not the cooperation is progressing. As a result, there has been a problem that the medical opportunity is lost, the medical condition is worsened, and more medical expenses are required due to the seriousness and complications.

  An object of the present invention is to provide an information system that can efficiently search medical institutions by indexing the degree of cooperation between medical institutions such as clinics and hospitals from medical related data such as receipt data.

The above-mentioned problem is stored information of medical remuneration statement including receipt data in which insured person information, injury and illness name, medical institution information, medical treatment date information, and medical institution introduction flag are associated with each other. The medical treatment date information associated with the extracted medical fee statement information is extracted from the medical database of the medical fee statement information associated with the receipt database, the input / output terminal, and the first insured person information. And a disease name receipt sequence in which the receipt data included in the extracted information on the medical remuneration statement is rearranged in time series for each disease name associated with the first insured. Each wound name associated with the first insured based on the wound name / recept sequence generation unit to be generated and the medical institution introduction flag included in the wound name receipt sequence Calculate the number of referrals of the first insured person from the first medical institution information to the second medical institution information different from the first medical institution information. A medical institution matrix generation unit that generates a relation table, and accepts an input of a keyword including a name of a sick and sick, searches a correlation table of the medical institution generated based on the received input, and searches the correlation table of the searched medical institution And a medical institution search system comprising: an input / output unit that outputs a plurality of pieces of medical institution information together with linkage information between a plurality of medical institutions based on the number of introductions.

  With the medical institution search system according to the present invention, the insured can efficiently search for a medical institution. In particular, when it is desired to visit a nearby medical office, the cooperative relationship with the hospital can be easily grasped, so that the medical office can be selected efficiently.

  In addition, since the insured can visit the medical institution without losing the medical opportunity, the insurer can suppress the increase in medical expenses due to the seriousness and complications, and the financial situation can be improved.

The example of the block diagram of the medical institution search system which is an Example of this invention. An example of a user information database. Example of a receipt database. An example of a medical institution database. An example of a hierarchical disease name database. An example of a medical institution matrix. The flowchart showing the operation | movement at the time of the medical institution matrix production | generation of a data server. The flowchart showing the operation | movement at the time of user use of a data server. The conceptual diagram of a wound name receipt sequence. The example of the screen at the time of the search information input of the terminal for input / output Example of screen priority format when displaying medical institution information on an input / output terminal. List format example of screen when displaying medical institution information of input / output terminal.

  FIG. 1 shows a block diagram of a medical institution search system that is an embodiment of the present invention. This system includes a data server 100, an input / output terminal 120, and a network 140.

  In the present embodiment, the input / output terminal 120 uses one or more personal computers having an input unit such as a keyboard and a mouse, an output unit such as a display, and a communication unit communicating with the data server 100 and the like. In addition, portable terminals such as PDAs, PHSs, and mobile phones having an input unit, an output unit, and a communication unit can be used.

  As an example of a user (hereinafter referred to as a user) of the input / output terminal 120, an insured person (union member) who participates in insurance provided by an insurer such as a corporate health insurance association, or an insured person is supporting It is intended for dependents (union members' families, specifically spouses, children, parents, etc.), but is not limited thereto. The user operates the input / output terminal 120 and performs a medical institution search using the system shown in the present embodiment.

  The data server 100 includes a control unit 101, a memory 102, a communication unit 103, a wound name / receipt sequence generation unit 104, a medical institution matrix generation unit 105, a medical institution search unit 106, an output unit 107, a user The information database 110, the receipt database 111, the medical institution database 112, and the hierarchical disease name database 113 are configured. The control unit 101, the memory 102, the communication unit 103, the wound name reception sequence generation unit 104, the medical institution matrix generation unit 105, and the medical institution search unit 106 are included in the program and read by the control unit 101. It can also be done.

  The network 140 is connected to the data server 100 and the input / output terminal 120. The data server 100 communicates with the input / output terminal 120 via the network 140.

  The network 140 is assumed to be the Internet, but other networks such as a cellular phone communication network, a wide area wireless communication network, and an in-house intranet can also be used.

  Although this system is described as a hardware configuration, some of the functions of this system can also be configured by software.

  FIG. 2 shows an example 200 of the user information database 110. The database example 200 includes a user personal information table 210 that manages user personal information and the like.

  The user personal information table 210 includes a user ID field 211 for storing a user ID for identifying a user, a password field 212 for storing a user password used when the user performs user authentication when using the system, a name and a home address. And a personal information field 213 for storing personal information such as a work address.

  For example, in the example 210A of the user personal information record in the table example 210, the user ID “user0001”, the name “Akiyuki Oda”, the home address “Hitachi City, Ibaraki Prefecture”, and the workplace address “Kokubunji City, Tokyo…” Indicates that the user is registered.

  FIG. 3 shows an example 300 of the receipt database. The example database 300 is composed of a receipt data table 310 for managing a medical fee description (receipt).

  The receipt is issued from the medical institution every medical month and provided to the insurer when the insured person or the dependent who is supported by the insured person visits the medical institution. The receipt includes an insured symbol for identifying the insured person, an insured person number, a medical care month, one or more names of injuries, medical treatment information such as treatment and medication, and the like.

  The receipt data table 310 includes a reception ID field 311 for storing a reception ID for identifying a reception, an insured person ID field 312 for storing an insured person ID for identifying an insured person, and a medical care month for storing a medical care month. The field 313 includes a medical institution field 314 for storing a medical institution ID for identifying a medical institution and a medical institution name, and a wound name field 315 for storing one or more wound names. In addition, whether or not there is a medical practice to be calculated at the time of cooperation such as introduction to other medical institutions (for example, introduction from clinic to hospital) or reverse introduction (for example, introduction from hospital to clinic), such as fees for providing medical information Is included in an introduction flag field 316 for storing date information, and a field 317 for storing date information.

For example, in the example 310A of the receipt data identified by the receipt ID “01234456789”, the insured person with the insured person ID “20090401” is the medical institution “b clinic” with the medical institution ID “01010001” in April 2010. It turns out that I have been diagnosed with diabetes. In addition, it is understood that the “medical information provision fee” is calculated for introduction to other medical institutions.
In this example, the presence or absence of referral to another medical institution or reverse referral is determined based on the presence or absence of the “medical information provision fee” described in the medical fee remuneration statement (receipt). When the medical fee related to the referral / reverse introduction is revised due to the revision or the like, it can also be determined using information corresponding to the medical fee related to the referral / reverse introduction. Also, other information described in the receipt can be used depending on the presence / absence of introduction / reverse introduction.

  The insured person ID can use an insured person symbol for identifying the insured person and an insured person number. Further, the insured person ID can be used by combining the insured person symbol and the insured person number with other personal information such as the family classification, sex, date of birth, and name.

  FIG. 4 shows an example 400 of the medical institution database. The database example 400 includes, as medical institution information, a clinic master table 410 that manages clinic information, and a hospital master table 420 that manages hospital information.

  The clinic master table 410 includes a field 411 for storing a medical institution ID for identifying a medical institution, a field 412 for storing the name of the medical institution, a field 413 for storing address information of the medical institution, and coordinates of the medical institution ( (Latitude / Longitude) information, and a field 415 for storing basic information such as medical treatment date and time and contact information.

  For example, the medical institution (clinic) “a clinic” identified by the medical institution ID “01010001” is the address “4-1-2 Hiyoshicho, Kokubunji, Tokyo”, and the latitude / longitude coordinates are “latitude: 35”. .708079, longitude: 139.446372 ”. It can also be seen that the medical treatment date is Monday through Friday from 9:00 to 19:00, and Saturdays, Sundays, and holidays are closed days.

  The hospital master table 420 includes a field 421 for storing a medical institution ID for identifying a medical institution, a field 422 for storing the name of the medical institution, a field 423 for storing address information of the medical institution, and coordinates (latitude of the medical institution). Longitude) field 424 for storing information, and field 425 for storing basic information such as medical date and time and contact information.

  For example, the medical institution (hospital) “A hospital” identified by the medical institution ID “02000124” is an address “3-8-1 Nishikoigakubo, Kokubunji-shi, Tokyo”, and the latitude / longitude coordinates are “latitude: 35.702753”. , Longitude: 139.4463904 ".

  FIG. 5 shows an example 500 of the hierarchical disease name database. The database example 500 includes a hierarchical disease name data table 510 that stores injury name data hierarchized for each disease name used in the search. The hierarchized wound name data table 510 stores a field 511 for storing a disease name used at the time of searching, a field 512 for storing a wound name and a wound name code described in the reception in a hierarchical manner corresponding to the disease name, Consists of.

  Here, the name of the disease or illness when the user selects the “disease name”, and the “wound and disease name” and “wound and disease name code” are the “wound and disease name” and “wound and disease name code” described in the receipt, respectively.

  In the table example 510, wound names “diabetes”, “type 2 diabetes”, “diabetic nephropathy”, and the like described in the receipt are stored in association with each other as wound names that are hierarchized by the disease name “diabetes”. Yes.

  FIG. 6 shows an example 600 of the memory 102. The memory 102 stores a medical institution correlation table (medical institution matrix) for each disease name.

  In the memory example 600, a medical institution matrix example 610 relating to the disease name “diabetes” is stored as an example of the medical institution matrix. The medical institution matrix example 610 includes a cooperation degree field 611 that stores information on mutual cooperation between medical institutions, and a statistical data field 612 that stores medical institution statistical data calculated from the receipt data. The

  For example, in the example 611 of the medical institution matrix, “b clinic” introduces to “A hospital” seven times (cooperation degree data 611bA), conversely, “A hospital” reverses twice to “b clinic”. It can be seen that the cooperative relationship information that is introduced (cooperation degree data 611Ab) is stored. In addition, “a clinic” indicates that 130 insured persons (patients) are visiting the hospital.

  In the statistical data field 612, in addition to the number of insured persons (patients), other statistical data that can be calculated using the receipt data such as the average age of patients can be stored.

  Next, the operation of this system will be described using a flowchart.

  FIG. 7 is a flowchart showing the operation of the data server 100 when generating a medical institution matrix. First, the control unit 101 executes step 701 of reading the hierarchical disease name data table 510 from the hierarchical disease name database 113.

  Next, the control unit 101 executes step 702 of repeating the process for each disease name for the disease name in the master table 510 read in step 701. In this embodiment, a case where the disease name is “diabetes” will be described as an example.

  Next, the control unit 101 executes step 703 to extract and read out the receipt data in which the name of the disease corresponding to the disease name “diabetes” is described in the disease name field 315 from the receipt database 111.

  For example, in the case of the receipt database 111, the receipt data 310A, 310B, 310C, 310D including the wound names “diabetes” and “diabetic nephropathy” corresponding to the disease name “diabetes” are extracted in the wound name field 315. Become.

  Next, the control unit 101 executes step 704 in which statistical data is calculated based on the receipt data read out in step 703 with the number of insured persons for each medical institution as “number of patients”.

  Next, the control unit 101 activates the wound name and receipt sequence generation unit 104, extracts the receipt data for each insured person based on the receipt data read out in the step 703, and obtains medical date information. Step 705 of generating a disease name receipt sequence rearranged in time series based on the above is executed.

  FIG. 9 shows a conceptual diagram when generating an injury / injury name receipt sequence for the insured with the insured ID “20090401”. The receipt data of the insured ID “20090401” is “b clinic” in April 2010, “A hospital” in May 2010, and “b clinic” in June 2010 regarding the disease name “diabetes”. Indicates that she has visited. If this is arranged in time series, the relationship between “b clinic”, “A hospital” and the medical institution can be understood.

  Here, since the introduction flag 316 of the receipt data 310A is “1”, that is, the clinical practice “medical information provision fee” is calculated, it is understood that there is an introduction from b clinic to A hospital, that is, a cooperative relationship. On the other hand, since the introduction flag 316 of the receipt data 310B is also “1”, it is understood that there is a reverse introduction from the hospital A to the clinic b, that is, there is a cooperative relationship. In this way, by using a wound / disease name receipt sequence in which the receipts are rearranged for the same insured for each wound / disease name, the cooperative relationship between medical institutions can be easily expressed.

  The above process is repeated for the number of insured IDs to generate a plurality of wound name receipt sequences.

  Next, the control unit 101 activates the medical institution matrix generation unit 105, and based on the plurality of injury name receipt sequences generated in the step 705, a list showing the mutual relationship between medical institutions ( Step 706 of generating a medical institution matrix is performed.

  In the case of FIG. 9, when there is an introduction from b clinic to A hospital as indicated by arrows 901 and 903 in the figure, an introduction cooperation degree field (611bA) corresponding to the linkage relationship from b clinic to A hospital. 1 is added to). Further, as shown by an arrow 902 in the figure, when there is a reverse introduction from the A hospital to the b clinic, 1 is set in the reverse introduction cooperation degree field (611Ab) corresponding to the linkage relationship from the A hospital to the b clinic. Is added. The above process is repeated for the number of the disease name receipt sequences to generate a medical institution matrix related to diabetes.

  Similarly, for other disease names, a wound name receipt sequence is generated, and a medical institution matrix is generated.

  As described above, by generating the medical institution matrix using the wound name receipt sequence, it is possible to easily express the mutual relationship between the medical institutions.

  The degree of referral cooperation can also be calculated by excluding the case where there is only a referral and no reverse referral. That is, in the case of FIG. 9, in the case of only the arrow 901 in the figure, the referral cooperation degree is not added, and in the case of up to 902, the referral cooperation degree field (611 bA) corresponding to the cooperative relation from b clinic to A hospital. Add 1 to.

  Thereby, it is possible to clearly express the mutual cooperation relationship between medical institutions called introduction / reverse introduction.

  Next, the control unit 101 executes Step 707 of storing the medical institution matrix generated in Step 706 and the statistical data calculated in Step 704 in the memory 102.

  Thus, the example 600 of the memory 102 is stored.

  FIG. 8 is a flowchart showing the operation of the data server 100 when used by the user. First, the control unit 101 receives an input of user information and the like, and executes step 801 for performing user authentication using the user ID and password of the user personal information table 210.

  If the user is authenticated in step 801, the control unit 101 next executes step 802 for inputting search conditions.

  FIG. 11 shows an example screen 1000 of the input / output terminal 120 when the user inputs search conditions in step 802. This screen example 1000 includes a personal information display area 1010 for displaying personal information such as the name of the user authenticated in step 801, a disease name selection area 1020, a search area selection area 1030, a search button 1040, a search A medical institution information display area 1050 for displaying the medical institution information.

  For example, when a user has an abnormal blood glucose level at a specific medical examination or the like and is recommended to receive a medical checkup, if he / she wants to search for a medical institution related to diabetes within a 3 km area near the workplace, “Diabetes” is selected from the pull-down menu in the disease name selection area 1020. Is selected from the search area selection area 1030 and “3 km area” is selected in the search area selection box 1035.

  Here, when the user presses the search button 1040, the control unit 101 activates the medical institution search unit 106, and searches for a medical institution based on the search condition input in step 802. Execute.

  FIG. 11 shows a screen example 1200 of the input / output terminal 120 after the execution of step 803. First, since “Near Work” is selected as the search condition, the location of the address information is displayed in the medical institution information display area 1050 based on the address information stored in “Work Address” in the user personal information field 213. Display a map of the area as the center point. Next, coordinates (latitude and longitude) are calculated from the address information, and based on the coordinates (latitude and longitude) information in the coordinate field 414 of the clinic master 410, the search area (this implementation) input in the search area selection box 1035. In the example, a clinic within 3 km) is extracted.

  Next, on the map of the medical institution information display area 1050, the information is displayed at a position corresponding to the address information based on the address information of the extracted clinic address field 423. In this embodiment, “a clinic”, “b clinic”, and “c clinic” are extracted, and “a”, “b”, and “c” are respectively displayed. At this time, the size can be changed based on the number information stored in the medical institution matrix.

  Next, the medical institution matrix relating to the disease name selected by the search condition is read from the memory 600, and the hospital in which the association information with the extracted clinic is stored is extracted. In the medical institution matrix example 611, “c clinic” extracts “B hospital” and “C hospital”.

  Next, the extracted hospital is displayed at a position corresponding to the address information on the map of the search result display area 1050 based on the address information in the address field 423 of the hospital master 420. In the case of a hospital that is far enough to be displayed in the display area of the search result display area 1050, such as being too far from the search area, it is displayed on the outermost side of the display area in the same direction from the center point. You can also. In the present embodiment, it is possible to display like Hospital B.

  Next, based on the mutual relationship of the medical institution matrix, the degree of cooperation between the medical institutions is displayed using lines and arrows. For example, when there is an introduction from A clinic to A hospital and there is no reverse introduction from A hospital to a clinic, a one-way arrow is displayed from a clinic to A hospital. Also, for example, when there is an introduction from hospital b to clinic A and there is a reverse introduction from hospital A to clinic b, a bidirectional arrow is displayed between clinic b and hospital A.

  Thereby, since the user can visually grasp the cooperative relationship between the medical institutions, it is possible to more efficiently support the search for the medical institutions.

  Further, the thickness of the arrow may be changed and displayed according to the total cooperation degree which is an index of the cooperation degree between medical institutions.

  For example, when calculating the total cooperation level as the total number of referrals / reverse referrals between clinics and hospitals, the thickness of the arrow should be “1 point” if it is less than 10 people, or 10 or more and less than 50 people. For example, “2 points” is displayed, and “50 points” is displayed as “3 points”. Also, expressions other than arrows can be used.

  Thereby, since the user can visually grasp the degree of cooperation between medical institutions, it is possible to more efficiently support the search for medical institutions.

  Next, the control unit 101 executes Step 804 for outputting the screen generated in Step 803 to the input / output terminal 120.

  With the above processing, the screen example of the input / output terminal 120 shown in FIG. 1 is displayed.

  When the user clicks on a medical institution, basic information and statistical data of the medical institution are displayed. For example, when a clinic is clicked, the medical institution database 400 is searched, and basic information regarding the clinic a is extracted and displayed. Further, the medical institution matrix stored in the memory 600 is searched, statistical data such as the number of persons information about the clinic a is extracted, and displayed as the number of patients.

  This makes it possible to easily refer to the basic information and statistical data of the medical institution that wants to consult, so that the search for the medical institution can be more efficiently supported.

  As described above, the medical institution search system according to the present invention allows an insured person to easily search for a medical institution related to a disease determined to be abnormal after receiving a medical examination, and to receive treatment promptly and appropriately. In addition, the insured can easily grasp the cooperative relationship with the hospital when he / she wants to visit a nearby clinic such as the workplace or the home, so the clinic can be selected efficiently.

  Insurers can also go to a medical institution without losing the opportunity for medical care, so they can smoothly move from early detection at a medical examination institution to early treatment at a medical institution, as well as complications of severity and complications. It is possible to control the increase in medical expenses due to such factors as sound financial conditions.

  FIG. 11 shows a screen example 1100 of the input / output terminal 120 when a priority item is selected and medical institution information is displayed in the medical institution information display area 1050. In the screen example 1100, a priority item selection box 1110 for selecting an item to be prioritized when the user selects a medical institution is displayed. For example, when “cooperation priority” is selected in the box 1110, “c clinic” having the highest overall cooperation degree is highlighted. In this embodiment, as the highlighting, the outline is displayed thick, but other highlighting methods such as changing the color, blinking, changing the size, blinking, and displaying in three dimensions may be used.

  Thereby, since the user can easily select a medical institution according to an item to be prioritized, the search for the medical institution can be supported more efficiently.

  FIG. 12 shows a screen example 1200 of the input / output terminal 120 when displaying medical institution information in a list format for each priority item in the medical institution information display area 1050. In the screen example 1200, medical institutions are displayed in order for each priority item that can be selected.

  Thereby, since the user can easily select a medical institution without selecting an item to be prioritized, the search for the medical institution can be more efficiently supported.

DESCRIPTION OF SYMBOLS 100 Data server 101 Control part 102 Memory 103 Communication part 104 Wound and illness name receipt sequence production | generation part 105 Medical institution matrix production | generation part 106 Medical institution search part 107 Output part 110 User information database 111 Receipt database 112 Medical institution database 113 Hierarchized injuries and illness name database 120 Input / output terminal 140 Network 200 User information database example 210 User personal information table 300 Receipt database example 310 Receipt data table 400 Medical institution database example 410 Clinic master table 420 Hospital master table 500 Hierarchical wound name database example 510 Hierarchy Injury and disease name data table 600 Example of memory 610 Example of medical institution matrix 900 Conceptual diagram of injury and disease name receipt sequence

Claims (7)

A receipt database that stores information on medical remuneration statements including receipt data in which insured information, injury and illness name, medical institution information, medical treatment date information, and medical institution introduction flag are associated with each other;
An input / output terminal;
Based on the medical treatment date information and injury / illness name associated with the extracted medical fee description information, the information of the medical fee specification associated with the first insured person information is extracted from the receipt database. Injury / sickness name receipt for generating a wound / sickness name receipt sequence in which the receipt data included in the extracted medical remuneration statement information is rearranged in time series for each wound / sickness name associated with the first insured person A sequence generator;
Based on a medical institution introduction flag included in the injury / injury name receipt sequence, a second different from the first medical institution information from the first medical institution information for each injury / illness name associated with the first insured person. Calculating the number of referrals of the first insured person to medical institution information, and generating a medical institution matrix generation unit for each injury name based on the number of referrals;
Accepts an input of a keyword including a name of a sickness, searches a correlation table of the generated medical institution based on the received input, and based on the number of introductions based on the interrelation table of the searched medical institution An input / output unit for outputting a plurality of medical institution information together with linkage information between a plurality of medical institutions;
A medical institution search system comprising: The medical institution search system according to claim 1,
The medical institution information includes an identifier of the medical institution,
A medical institution database storing the identifier of the medical institution and address information of the medical institution identified by the identifier of the medical institution;
The input / output unit extracts address information based on the identifier of the output medical institution from the medical institution database when outputting the plurality of medical institution information, and based on the extracted address information A medical institution search system that outputs medical institution information to be output. The medical institution search system according to claim 1,
In addition, the user information database for storing the insured person information in association with the insured person identifier, the insured person address position information and the insured person work position information,
The input / output unit receives an input for selecting a search area and a search area, extracts address position information or / and workplace position information corresponding to the received search area from the user information database, and outputs the medical data A medical institution search system that outputs medical institution information located within the range of the accepted search area from the extracted address position information and / or workplace position information among the institution information. The medical institution search system according to claim 1,
Further comprising a hierarchical wound disease name database storing hierarchical wound disease name data in which disease names and wound names belonging to the disease names are associated with each other;
The wound name / recept sequence generation unit searches a disease name corresponding to the wound name associated with the extracted medical fee description information from the hierarchical wound disease name database, and sets the searched disease name An associated wound name is extracted, and receipt data is extracted based on the medical date information and the extracted wound name associated with the extracted medical fee description information, and the extracted medical fee is extracted. A medical institution search system characterized by generating a wound / disease name receipt sequence obtained by rearranging the extracted receipt data in time series for each wound / disease name associated with information in the specification. The medical institution search system according to claim 1,
The medical institution matrix generation unit generates statistical information based on insured information associated with the medical institution from the receipt database when generating the interrelation table of the medical institution, and In addition to the interrelation table,
The input / output unit outputs the statistical information based on the plurality of medical institution information when outputting the plurality of medical institution information. The medical institution search system according to claim 1,
The input / output unit receives an input of a priority order of the plurality of medical institution information to be output, and changes a display method of the plurality of medical institution information to be output according to the received priority order. Search system. Receipt database and input terminal for storing information on medical remuneration statement including receipt data in which insured person information, injury and illness name, medical institution information, medical treatment date information, and medical institution introduction flag are associated with each other And a medical institution search method using the medical institution information extracted from the receipt database and associated with the extracted information on the medical remuneration statement. Based on the medical treatment date information and the name of the sick and sick, the receipt data included in the extracted information of the medical fee description is rearranged in time series for each sick and sick name associated with the first insured person A wound name / recept name sequence generated by the wound name / recept sequence generation unit;
Based on a medical institution introduction flag included in the injury / injury name receipt sequence, a second different from the first medical institution information from the first medical institution information for each injury / illness name associated with the first insured person. Calculating the number of referrals of the first insured person to medical institution information, and generating a medical institution correlation table for each wound name based on the number of referrals by a medical institution matrix generation unit;
Accepts an input of a keyword including a name of a sickness, searches a correlation table of the generated medical institution based on the received input, and based on the number of introductions based on the interrelation table of the searched medical institution Outputting a plurality of medical institution information together with linkage information between a plurality of medical institutions by an input / output unit;
The medical institution search method characterized by having.

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