JP5757501B2 - Digital signage effect verification system and program - Google Patents

Description

  The present invention relates to a system for objectively verifying the effects (effects) of delivery of content relating to provision of medical / health-related information and enlightenment of disease using digital signage on medical practice, and a program for realizing the function thereof.

  In recent years, digital signage (digital signage) can be seen in various scenes. For example, it can be seen on the wall of a building, department store, supermarket, station, train, hospital, pharmacy, etc. Unlike existing media that broadcast uniform content to an unspecified number of people, digital signage can provide content focused on that interest to viewers belonging to the installation location. For this reason, it is considered that the use will increase more and more as a powerful advertising means in the future.

  Incidentally, digital signage is generally configured to include a display device (for example, a flat display, a projector, etc.) that displays content and a control device that controls output of the content, and also includes a communication device with a network as necessary. It is.

US Patent Application Publication No. 2010/0174671

  In digital signage, the contents are selected according to the interest of the viewer who belongs to the installation location. For this reason, the viewer's gaze degree is generally high, and a high advertising effect can be expected. In particular, in a scene where viewers are expected to stay in the same space for a relatively long time, such as a waiting room of a medical institution, a high transmission effect is expected in providing information by digital signage. For this reason, in medical institutions, the use of digital signage for the purpose of providing medical / health-related information and raising awareness of diseases has begun.

  On the other hand, the use of digital signage at medical institutions is limited to the provision of medical / health-related information and awareness of diseases, and objectively affects the impact of the provision and awareness of information on medical practice and prescription of pharmaceuticals. A system that can be verified is not established.

  Accordingly, the present inventors propose a mechanism for objectively verifying the distribution effect of content related to provision of medical / health related information and disease awareness in medical institutions.

  Specifically, (1) content specifying information acquisition means for acquiring information for specifying content distributed in a medical institution to be verified from a server that manages the distribution of content, and (2) specifying the acquired content Based on the information to be verified, and verification target information reading means for reading out information on the medical practice and / or medicine associated with each content for verification of the delivery effect from the evaluation target master table, and (3) based on the read information (4) Counting means for searching the server storing the receipt data and counting the number of medical actions and / or the number of prescribed medicines within the set period in the medical institution to be verified. At least an analysis means for managing the number of performed medical actions and / or the number of medicines in association with content Suggest effect verification system of digital signage.

  According to the present invention, the distribution effect of contents for the purpose of providing medical / health related information and enlightenment of diseases is objectively verified through the change in the number of medical actions and the number of medicines registered for verification of each content. can do. Problems, configurations, and effects other than those described above will be clarified by the following description of embodiments.

The figure which shows the schematic structural example of the effect verification system of digital signage. The figure which shows the detailed structural example of the effect verification system of digital signage. The figure which shows the data structure example of a delivery schedule management master table. The figure which shows the example of a data structure of an injury and illness name master table. The figure which shows the example of a data structure of a medical treatment practice master table. The figure which shows the data structure example of a pharmaceutical master table. The figure which shows the data structure example of an evaluation object master table. The figure which shows the example of a data structure of the table for every delivery destination analysis. The figure which shows the data structure example of the table for a group analysis. The figure which shows the example of an analysis result screen. The figure which shows the example of an analysis result screen. The flowchart explaining the change function of the delivery schedule based on an analysis result. The flowchart explaining the change function of a delivery schedule based on the comparative analysis result of specific content. The flowchart explaining the change function of a delivery schedule based on the comparison analysis result between specific pharmaceuticals. The flowchart explaining the change function of a delivery schedule based on the comparison analysis result between delivery destination groups. The flowchart explaining the change function of a delivery schedule between the medical institutions in cooperation relationship. The figure which shows the data structure example of a cooperation relationship master table.

  In the following embodiment, when it is necessary for the sake of convenience, the description will be divided into a plurality of sections or embodiments. Unless otherwise specified, they are not irrelevant to each other, and one is in the relationship of some or all of the other, modification, application, detailed explanation, supplementary explanation, and the like. Further, in the following embodiments, when referring to the number of elements (including the number, numerical value, quantity, range, etc.), especially when clearly indicated and when clearly limited to a specific number in principle, etc. Except, it is not limited to the specific number, and may be more or less than the specific number.

  Furthermore, in the following embodiments, the constituent elements (including element steps and the like) are not necessarily indispensable unless otherwise specified and apparently essential in principle. Similarly, in the following embodiments, when referring to the shapes, positional relationships, etc. of the components, etc., the shapes are substantially the same unless otherwise specified, or otherwise apparent in principle. And the like are included. The same applies to the above numbers and the like (including the number, numerical value, quantity, range, etc.).

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. Note that components having the same function are denoted by the same or related reference symbols throughout the drawings for describing the embodiments, and the repetitive description thereof is omitted. In the following embodiments, the description of the same or similar parts will not be repeated in principle unless particularly necessary.

[the term]
First, definitions of terms used in this specification will be described.
“Digital signage” is used to mean a device that can read and display distributed still image content and moving image content from a storage medium. For example, it includes not only flat panel displays, projectors and other display-only devices, but also various electric / electronic devices having a display screen on the main body. Various electrical / electronic devices include portable information terminals such as vending machines, commercial tea dispensers, and other stationary devices, mobile phones, notebook computers, electronic book readers, and portable game machines. It is.

  “Medical institutions” include clinics (clinical clinics), hospitals, dental clinics, medical checkup centers, dispensing pharmacies, etc., regardless of the size or form of management (private / public). In the present specification, each medical department such as internal medicine, surgery, obstetrics and gynecology, ophthalmology, otolaryngology, etc. installed in the same hospital may be referred to as one medical institution.

  “Medical practice” includes actions by medical personnel (doctors, dentists, pharmacists, radiologists, physical therapists, nurses, midwives, etc.). Needless to say, the scope and content of medical practice varies depending on the qualifications held by medical personnel. Information indicating the contents of medical practice constitutes part of the receipt data.

  “Receipt data” refers to data corresponding to at least a receipt electronic processing system operated by the Federation of National Health Insurance Organizations and the Social Insurance Medical Fee Support Fund. That is, “receipt data” in this specification is used to include not only data transmitted from a medical institution to a receipt electronic processing system but also a part of information of an electronic medical record. “Receipt data” includes medical institution information, patient information, and medical information. The medical institution information may include, for example, a name of a medical institution, a medical institution code, a location, and a medical subject. The patient information may include, for example, an insurer number / symbol number of a health insurance card, a patient's name, date of birth, age, sex, disease name, and date of visit. Medical information includes, for example, (1) number of visits (first visit / revisit) and points, (2) content and number of instructions and points, (3) content, quantity and points of prescribed drugs and injections, (4) It may include the content and number of treatments and points, (5) content and number of examinations and points, and (6) the total number of claims, the amount paid by the patient, and the content of the claims.

  Contents include (1) programs related to medical institutions such as introductions and announcements of medical institutions, (2) programs such as news, weather forecasts, seasonal environmental images, and (3) disease awareness and medical / It can be used in the meaning of any combination of programs that include information on health, introduction of examinations and treatments that are unique to medical institutions, and the meaning of individual programs. However, content that is subject to evaluation of distribution effects is a program that includes information on disease awareness, information on medical care and health, introduction of examinations and treatments that are characteristic of medical institutions, and the like. It should be noted that the combination of a plurality of programs constituting the content does not have to be fixed, and the combination of programs and the transmission order can be freely changed. Note that the number and combination of programs constituting the content can be freely changed in units of days, hours, and minutes.

  “Content distribution” includes a system form in which content is distributed from outside the medical institution, in addition to a system form in which the content distribution source and distribution destination are completed within the same medical institution. Further, the present specification includes a usage mode for reproducing content stored in advance on a storage medium built in the display device and a usage mode for reproducing content from a storage medium detachably attached to the display device. It is assumed to be included in one form of “content distribution”. That is, “content distribution” does not need to be performed in a streaming format, and may be a download format. Further, “content distribution” may be executed offline as long as it is possible to manage which content is displayed (reproduced) in what medical institution.

  The “content distribution destination” can be managed in units of display devices, units of medical institutions, units of medical departments, and units of regions. In this specification, unless otherwise specified, the distribution of content is managed and evaluated in units of medical institutions.

[Overview of system configuration]
FIG. 1 shows a schematic configuration of a digital signage effect verification system. FIG. 1 shows a basic system configuration constructed for one medical institution. The system includes a computer (PC) 1, a set top box (STB) 2, a display device 3, a receipt computer 4, and a distribution / effect verification system 5.

  The computer 1 is arranged in all medical institutions defined above. That is, it is arranged not only in clinics and hospitals but also in medical examination centers. In the figure, all functions to be described later are processed by one computer 1, but two or more computers 1 may be used depending on the application.

  One function provided by the computer 1 is a function for individually delivering content (such as an introduction video) unique to a medical institution to the set-top box 2. This function is used to add information unique to a medical institution when the distribution / effect verification system 5 is an external institution and distributes common content to a plurality of medical institutions. However, when the contents customized for each medical institution or delivery destination are distributed from the distribution / effect verification system 5, it is irrespective of whether the distribution / effect verification system 5 is in the medical institution or outside. The output of content from the computer 1 to the set top box 2 may be omitted.

  Another function provided by the computer 1 is a function of receiving business support data from the distribution / effect verification system 5. The details of the business support data will be described later, but include measurement results unique to each medical institution verified by the receipt data. In addition, the business support data includes data provided through a dedicated site (including advertisement placement) for medical professionals. In dedicated sites, for example, (1) Distribution content viewing and viewing services, (2) Enlightenment information viewing and viewing services for healthcare professionals, and (3) Social network services to support communication between users Services, (4) Document creation support services such as letters of introduction, (5) Membership malls (including online ordering of medical materials and discounts on general merchandise), etc. can be used.

  In addition, the computer 1 is equipped with a function for realizing a video conference with a terminal device installed in another medical institution, a communication function for remote image diagnosis, and the like as necessary.

  The set top box 2 is a device that outputs the content distributed from the distribution / effect verification system 5 to the display device 3 together with the content distributed from the computer 1. The set-top box 2 has a storage device that stores content at least temporarily and a processing system for data conversion into a signal format corresponding to the display device 3 that is an output destination. In the present embodiment, it is assumed that content is received via a network, but distribution using broadcast waves is not excluded. Further, the set-top box 2 does not have to be a dedicated device for the service proposed in this specification, and a commercially available device, a line termination device, or an optical access device may be used. Further, the set top box 2 does not have to be a dedicated device for digital signage, and may be a general-purpose computer.

  The display device 3 is an output device that displays an image of content input from the set top box 2 on a screen. The connection between the display device 3 and the set top box 2 is not limited to a wired system, and may be a wireless system. In the case of a present Example, the display apparatus 3 assumes the flat panel display installed in the waiting room of a medical institution, etc. But as mentioned above, the display apparatus 3 may be arrange | positioned at the terminal which a patient, its family, etc. carry. In this case, the output destination of the content of the set top box 2 is the mobile terminal.

  The receipt computer 4 is a computer whose main function is the creation of receipt (medical fee description) data to be submitted to a receipt electronic processing system operated by a paying institution (National Health Insurance Federation or Social Insurance Medical Fee Support Fund). Actually, the receipt computer 4 includes not only a computer having a function of transmitting the generated receipt data to a payment institution but also a computer not having the function. For the latter receipt computer 4, a computer for receiving receipt data is required separately.

  The receipt computer 4 does not need to be a computer that handles only medical data related to insurance medical treatment, and may be a computer that can also handle medical data related to self-paid medical treatment (for example, vaccination and treatment with drugs not listed in the drug price). .

  As in the example described above, the receipt computer 4 is not necessarily a single computer, and may be a system constituted by a plurality of computers. That is, in the present embodiment, the receipt computer 4 is a general term for a group of computers capable of handling arbitrary medical data, and includes an electronic medical record system, an ordering system, a computer having a specific function regarding medical data processing, and the like. . In addition, the receipt computer 4 has a medical treatment content (including medical treatment content and its identification code), a medication name (including a pharmaceutical name and its identification code), a function for managing a medication usage, a window accounting function, A receipt issuing function is also installed.

  Further, the receipt computer 4 has a function of outputting the receipt data to the distribution / effect verification system 5. The function of outputting the receipt data to the distribution / effect verification system 5 need not be realized by only one computer. For example, a computer that reads the generated receipt data from the receipt computer 4 and outputs it to the distribution / effect verification system 5 may be separately prepared. In the following description, it is assumed that all functions necessary for realizing the present embodiment are mounted on one receipt computer 4 in order to avoid the complexity of describing all system configurations.

  Further, the receipt computer 4 has a function of concealing personal information included in the receipt data at least when outputting data to the distribution / effect verification system 5. This function realizes protection of personal information.

  In the case of the present embodiment, the configuration of a medical institution in which the receipt computer 4 is installed is shown. Therefore, a medical examination center that does not have a receipt computer that performs only a medical examination adopts a system configuration that does not have a receipt computer 4. That is, a health check center that performs only a health check is included in the content distribution destination, but is excluded from the collection target of the receipt data. Of course, the health check center for performing medical care in addition to the health check has the same configuration as the system configuration shown in FIG.

  The distribution / effect verification system 5 analyzes the receipt data to verify the content distribution effect (corresponding system is hereinafter referred to as “effect verification system”) and the function to manage the content distribution (corresponding system, (Hereinafter referred to as “distribution system”). In the case of FIG. 1, the distribution / effect verification system 5 includes both the effect verification system and the distribution system, but may be operated by different operators as independent systems. As described above, the distribution / effect verification system 5 provides business support data to the computer 1 and outputs content to the set top box 2.

  In FIG. 1, the set top box 2 and the distribution / effect verification system 5 have a one-to-one correspondence. However, one distribution / effect verification system 5 is provided for a plurality of set top boxes 2, that is, many-to-one. But you can.

  Further, the system shown in FIG. 1 may be realized in one medical institution (so-called medical institution complete type). However, one medical institution is not intended to be physically limited to one place, but includes a case where a plurality of medical institutions of the same or series are connected via a network. Further, the system shown in FIG. 1 may be realized as a network system virtually formed between a medical institution and an external provider (so-called network type). In the following description, a network type system configuration is basically assumed. In the network type, the computer 1, the set top box 2, the display device 3, and the receipt computer 4 are installed on the medical institution side, and the distribution / effect verification system 5 is installed on the external organization side.

[System configuration details]
FIG. 2 shows a detailed configuration of the digital signage effect verification system. FIG. 2 shows a detailed structure of the distribution system 5A and the effect verification system 5B constituting the distribution / effect verification system 5 corresponding to the network type system. In this system configuration, contents are distributed individually or simultaneously to a plurality of medical institutions.

  In order to correspond to this distribution form, in FIG. 2, a plurality of medical institution systems 11 including the computer 1, the set top box 2, the display device 3, and the receipt computer 4 are depicted. However, a system configuration that does not include the receipt computer 4 is also conceivable, such as the medical institution system 11 that receives only content distribution.

  In this system configuration, the provider of the medical institution system 11 is generally different from the provider of the distribution system 5A and the effect verification system 5B. Note that the provider of the distribution system 5A and the provider of the effect verification system 5B may be the same or different.

  As shown in FIG. 2, a plurality of medical institution systems 11 are connected to the distribution system 5 </ b> A via a network 21. The plurality of medical institution systems 11 are connected to the effect verification system 5B via the network 22. In the present embodiment, the networks 21 and 22 are assumed to be the Internet. However, the networks 21 and 22 may be LANs. The networks 21 and 22 are not limited to wired networks, and may be wireless networks.

  First, the configuration of the distribution system 5A will be described. The distribution system 5A includes a distribution management server 31 and a content server 32. The distribution management server 31 reads content from the content server 32 according to a distribution schedule (hereinafter referred to as “distribution schedule management master table”), and transmits it at the timing registered in the registered distribution destination. The distribution management server 31 manages the distribution of content for each distribution destination. In the case of the present embodiment, it is assumed that the distribution schedule management master table is stored in a storage device (not shown) in the distribution management server 31.

  FIG. 3 shows an example of the distribution schedule management master table 3100. In this table, a schedule corresponding to one distribution destination is registered as one record. The record includes a distribution destination ID 3101 for specifying a distribution destination, a distribution destination name 3102, a content ID 3103 for specifying content, a content name 3104, a distribution period 3105, a distribution schedule 3106, a distribution count 3107, and the like.

  The delivery destination ID 3101 and the delivery destination name 3102 may be linked to a delivery destination management table (not shown). As shown in FIG. 3, the content distribution destination includes a medical examination center. The content ID 3103 and the content name 3104 may be linked to a content management table (not shown). In the distribution period 3105, for example, a contract period for a content distribution service is stored. The distribution schedule 3106 stores specific distribution conditions such as a distribution cycle. The number of distributions 3107 stores the number of distributions of the corresponding content. In FIG. 3, only one content is associated with one distribution destination, but a plurality of contents may be associated with one distribution destination. The distribution period 3105, the distribution schedule 3106, and the number of distributions 3107 may be linked to a management table related to contract conditions (not shown).

  Next, the configuration of the effect verification system 5B will be described. The effect verification system 5B includes a receipt data storage server 41, a content specifying information acquisition unit 42, a verification target information reading unit 43, a master table server 44, a count unit 45, an analysis unit 46, an analysis table server 47, and the like.

  The receipt data accumulation server 41 is a storage server that accumulates the receipt data received from the medical institution system 11 that is a distribution destination of contents and a provision destination of the effect verification service.

  The content specifying information acquisition unit 42 is a processing function unit that reads a distribution schedule from the distribution management server 31 and acquires information (for example, a content ID) specifying content distributed to the medical institution system 11. In the case of the present embodiment, the processing function of the content specifying information acquisition unit 42 is realized through a computer program.

  The verification target information reading unit 43 uses the acquired content specifying information as a search key, and reads from the master table server 44 information related to medical practices and medicines registered in association with each content for verification of the distribution effect. It is a processing function unit. As will be described later, in the master table server 44, evaluation target items are registered for each content. In the case of the present embodiment, the processing function of the verification target information reading unit 43 is realized through a computer program.

  The master table server 44 is a storage server that stores various master tables. The master table server 44 includes various master tables used in the receipt electronic processing system (for example, wound name master table, medical practice master table, pharmaceutical master table, dental master table, dental practice master table, dispensing practice master). In addition to the table, an evaluation target master table that associates target items to be evaluated for each content is stored.

4 to 7 show examples of data structures of some master tables used in this embodiment.
FIG. 4 shows a part of the data structure of the sickness name master table 4400. In this table, information corresponding to one injury name is registered as one record. The record is composed of a master type 4401 indicating the type of the master table, injury / illness name code 4402, transfer destination code 4403, injury / illness name basic name 4404, injury / abbreviation name omitted name 4405, and the like. An example is described in the figure.

  FIG. 5 shows a part of the data structure of the medical practice act master table 4410. In this table, information corresponding to one medical practice is registered as one record. The record includes a master type 4411 indicating the type of the master table, a medical practice code 4412, an abbreviated kanji name 4413, an abbreviated kana name 4414, and the like. An example is described in the figure.

  FIG. 6 is a part of the data structure of the medicine master table 4420. In this table, information corresponding to one medicine is registered as one record. The record includes a master type 4421 indicating the type of the master table, a medicine code 4422, a kanji name 4423, a kana name 4424, a unit kanji name 4425, and the like. An example is described in the figure.

  FIG. 7 shows a part of the data structure of the evaluation target master table 4430. In this table, target information to be evaluated for each content is registered as one record. The record includes a content ID 4431 that identifies the content, a content name 4432 that is the name, a first measurement target code 4433, a name 4434, a second measurement target code 4435, a name 4436, and a third measurement target. Code 4437, its name 4438, fourth measurement object code 4439, its name 4440, fifth measurement object code 4441, its name 4442, sixth measurement object code 4443, its name 4444, etc. . An example is described in the figure.

  The items associated with each content and the number of items are arbitrarily set according to the information included in the content, the disease to be enlightened, and the like. In the example of FIG. 7, “wound and disease name” is included in the measurement target for all contents, but additional information such as age and gender can be added to the measurement target in addition to “wound and disease name”. The “injury and disease name” includes not only the main disease name indicating the primary disease but also the secondary disease name indicating complications. Accordingly, there may be a case where there are a plurality of wound names to be measured. In addition, the measurement target does not include the name of the disease or the like, and information that simply specifies the medicine or medical practice may be set as the measurement target. In the example of FIG. 7, both information for specifying a medicine and information for specifying a medical practice are set as measurement targets. In the case of the present embodiment, the items used for the distribution effect measurement of each content are individually set by the operator or operator of the distribution / effect verification system 5.

  The counting unit 45 searches the receipt data storage server 41, and counts the number of medical actions or the number of prescribed medicines executed at a specific medical institution or medical institution registered as a group within a set period Part. In the case of the present embodiment, the processing function of the counting unit 45 is realized through a computer program.

  The information (ID or name) for specifying the medical action or medicine to be counted may use a mechanism given from the verification target information reading unit 43 to the counting unit 45, or the evaluation target master table 4430 of the master table server 44. You may use the mechanism read from.

  The counting unit 45 counts the number of times of medical practice or the number of prescribed medicines associated with each content. At this time, as described above, the count may be limited depending on the condition set in the content, such as the name of the sickness, age, and sex. The count unit 45 counts the number of executions and the number of each measurement target item set in the content to be distributed for each distribution destination.

  The counting period may be set for each content, or may be set uniformly regardless of the content (for example, a totaling method for each month), or a combination of both. However, one of the services realized by the distribution / effect verification system 5 is verification of content distribution effects by analyzing receipt data. Therefore, it is assumed that the counting unit 45 can execute the counting operation at least for two periods before starting the distribution of contents and after starting the distribution. In addition, the counting unit 45 may have a function of performing a counting operation for two periods after the end of content distribution and before the end of distribution (during distribution). Information regarding the distribution period of each content may be given from the analysis unit 46 to the counting unit 45 or may be given from the content specifying information acquisition unit 42 to the counting unit 45. In this embodiment, the evaluation period is designated by the analysis unit 46. The evaluation period may be a fixed period or may be set freely by the operator through the GUI. The distribution period is basically on a monthly basis, but may be set on a daily or hourly basis.

  The analysis unit 46 is a processing function unit that manages the counted number of medical actions and the number of prescribed medicines in association with the content. In this embodiment, the processing function of the analysis unit 46 is realized through a computer program. Details of processing functions executed in the analysis unit 46 will be described later.

  Incidentally, the analysis unit 46 creates an analysis table based on the count value given from the count unit 45 in addition to information such as the distribution destination of the content, the content of the distributed content, the distribution period, the distribution schedule, and the like. A function of executing an analysis process based on the table. The created analysis table is stored in the analysis table server 47.

  For example, the analysis unit 46 increases or decreases the ratio of the number of executions of each medical action associated with the content to the total number of executions, increases or decreases the ratio of the number of prescriptions of each drug to the total number of prescriptions, Analyze the content distribution effect by increasing or decreasing the ratio of the number of executions after content distribution to the number of prescriptions and the number of prescriptions. In this case, the analysis unit 46 determines whether or not the analyzed increase / decrease is a significant increase / decrease by comparison with a threshold value determined for each purpose. The threshold value may be a fixed value or may be given by a standard deviation with respect to an average value of the same kind of sample results.

  In addition, the analysis unit 46 has a function of providing the analysis result to the computer 1 of the medical institution and a function of automatically instructing the distribution management server 31 to change the distribution schedule according to the analysis result. An example of providing the analysis result will be described later.

  The analysis table server 47 is a storage server that stores an analysis table used by the analysis unit 46. 8 and 9 show two types of table examples used in this embodiment. FIG. 8 shows an example of the data structure of the distribution-by-destination analysis table 4510, and FIG. 9 shows an example of the data structure of the group-by-group analysis table 4520.

  The distribution-destination analysis table 4510 shown in FIG. 8 is a table used for measuring the distribution effect of content in the distribution destination unit. When the content distribution destination and the distribution / effect verification system 5 are all closed in the same medical institution (when the system of FIG. 1 exists in one medical institution), the table is managed by the distribution destination ID or the like. There is no need to do. However, in the same medical institution, when the effect is verified for each department and each installation location, it is desirable to prepare each table for each delivery destination even if the system is closed in the medical institution. Of course, when the medical institution and the distribution / effect verification system 5 belong to different organizations or business operators, it is necessary to manage each table by a distribution destination ID or the like.

  In the table shown in FIG. 8, information corresponding to one content is registered as one record. The record includes a content ID 4511 for specifying the content, its name 4512, an analysis period 4513, a count number 4514 corresponding to the first measurement object, a count number 4515 corresponding to the second measurement object, and a third measurement object. The count number 4516 corresponding to, and the count number 4517 corresponding to the fourth measurement object. In the case of FIG. 8, the analysis period is given in units of months.

  The group-by-group analysis table 4520 shown in FIG. 9 is a table example suitable for use when collectively managing a plurality of distribution destinations managed as one group. FIG. 9 shows an example of a table in a service provider that provides content distribution effects to a plurality of medical institutions. In addition, the medical institution which comprises one group may be all the medical institutions which a service provider provides a service, and may be a medical institution which exists in a specific area. Even when the service provider manages individual medical institutions (distribution destinations), the data structure table shown in FIG. 9 is used.

  In the table shown in FIG. 9, information corresponding to one content is registered as one record. The record includes a content ID 4521 for specifying the content, its name 4522, a delivery destination ID 4523, its name 4524, an analysis period 4525, a count number 4526 corresponding to the first measurement object, and a count number corresponding to the second measurement object. 4527 and the like. FIG. 9 also shows the case where the analysis period is monthly.

[Specific examples of distribution contents and specific examples of measurement targets]
The contents to be distributed are originally customized for each medical institution that is a distribution destination.

  For example, when content is distributed for the purpose of enlightening the general combination (hypertensive, diuretic, dyslipidemia, etc.), the number of prescriptions for the combination and the number of single agents are counted.

  In addition, for example, when content is distributed for the purpose of enlightening the initial therapy for hay fever, the number of prescriptions for antiallergic agents is counted. In these cases, a high correlation is expected between the distribution of content and the number of prescriptions.

  In addition, for example, when distributing content for the purpose of enlightening colorectal cancer screening, the number of fecal occult blood reaction specimen submissions is counted. Also in this case, a high correlation is expected between the content distribution and the number of prescriptions. However, there are some areas where fecal occult blood tests are included in publicly available health checkup items. In that case, the fecal occult blood test and specimen submission are not limited to the individual medical institution that delivered the content. As described above, when the content enlightened content is included in public health checkup items, it may be difficult to verify the content distribution effect only by analysis using the receipt data in individual medical institutions.

  For example, when content is distributed for the purpose of enlightening hereditary angioedema (HAE), the number of corresponding medical practices is counted.

[Example of analysis results]
(1) Presentation example 1
Next, a presentation example of analysis results obtained by adopting the system according to the embodiment will be described.

  For example, as shown in FIG. 10, changes in the number of prescriptions of a certain medicine before and after distribution of a certain content can be totaled and provided to each medical institution.

  In FIG. 10, the number of prescriptions for 3 months before content distribution and the number of prescriptions for 3 months after content distribution are shown in a bar graph. However, the display form is not limited to FIG. 10, and the number of specific medicine prescriptions and the number of executions of a specific medical practice may be displayed in chronological order. When expressed in time series, it may be displayed by a line graph. In addition, in FIG. 10, although the vertical axis | shaft is represented as the number of prescriptions, you may represent with the ratio with respect to the total number of prescriptions. Moreover, you may display the information of several pharmaceuticals and medical practice on one screen. The information displayed on the screen may be information after sorting by disease, age, gender, or the like.

  An analysis result display screen is basically created for each medical institution which is a unit for providing an analysis service. However, the information provided to each medical institution may include not only the analysis result regarding each medical institution but also the analysis result with a plurality of medical institutions existing in the vicinity of the location as a processing unit. By providing information about the surrounding area, it becomes possible to compare the analysis results of each medical institution with the analysis results of the entire surrounding area.

(2) Presentation example 2
Further, for example, as shown in FIG. 11, the results of drug names and the number of prescriptions can be displayed in a list. FIG. 11 shows the relationship between the prescription list after enlightenment of the mixture and the drug before the change for a certain month. For example, even if only an approximate tendency can be grasped from the results of the combined drug as a whole, the content distribution effect can be verified in detail by displaying a list of pharmaceutical prescriptions. For example, even if content increase and decrease in diuretics are confirmed before and after content distribution, the prescription of the combination containing diuretic is one example by specifically verifying the prescription content of the combination Only, it can be confirmed that the other is a change to a combination containing a Ca inhibitor. In addition, if FIG. 11 is used, it is possible to determine whether the change is for the purpose of organizing drugs that are highly likely to be affected by the enlightenment activities by the distribution of content, or a change that is purely based on drug enhancement.

(3) Presentation example 3
In addition, the presentation of the analysis result can include an automatic analysis result for the reason for the increase / decrease. For example, an analysis result having the following items as display items can be presented.
"Content A
・ Target month: August ・ Number of distribution facilities: (Number of cases, distribution of facilities by signage, distribution by region)
・ Total delivery times: (times)
・ Number of distribution by facility: (Distribution frequency distribution map, average distribution count)
・ Number of facilities that have been newly distributed: (cases)
・ Number of facilities whose distribution was canceled: (cases)
・ Number of facilities where the number of distributions increased: (cases)
・ Number of facilities where the number of distributions decreased: (cases)

・ Reasons for increasing the number of distributions (including new start) ・ Because the facility has entered the scheduled distribution period (number)
・ Because the ratio reached the target value before and after delivery (number of cases, ratio distribution chart, ratio average value)
・ Because new distribution has been started at the facilities registered for cooperation (number)
・ Because it was judged that there was a distribution effect from content B, and distribution was newly started for alternative content A (number of cases, average value of ratio of each content)
・ Others (special requests from sponsors, etc.)

・ Reason for reducing the number of distributions (including distribution cancellation) ・ Because the ratio did not reach the target value before and after distribution (number of cases, distribution chart of ratio, average value of ratio)
・ Because the prescription of other drugs has been increased (number of cases, increased drug name, average value of ratio before and after delivery of other drugs)
・ As a result of judging the distribution effect with content B, the distribution content was changed to content B (number)
・ Because it is a facility whose scheduled delivery period has ended (number)
・ Others (claims from the director)
These items can be generated by a calculation process in which the numerical values stored in the analysis table described above are read or by saving an analysis process result to be described later.

[Example of delivery schedule control based on analysis results in the analysis unit]
The analysis unit 46 according to the present embodiment automatically changes a distribution schedule set for a distribution destination group including individual distribution destinations or a plurality of distribution destinations, in addition to a function of providing the analysis result to a medical institution. It also has a function to do. A specific control example will be described below. In the following description, a case where the distribution schedule is changed in units of individual distribution destinations will be described unless otherwise specified. Of course, when changing a delivery schedule common to a plurality of delivery destinations, the same method can be applied unless there is a contradiction in principle.

(Control example 1)
FIG. 12 shows an example of a control operation for automatically replacing content with little distribution effect with any of alternative content prepared in advance.

  The analysis unit 46 extracts, from the analysis table prepared for each delivery destination, the number of executions or the number of prescriptions for each measurement object counted within the measurement period for each content (step S101).

  Next, the analysis unit 46 compares the extracted numerical value with a threshold value for determination (step S102). FIG. 12 represents an example of simply comparing the number of executions or the number of prescriptions with a threshold, but each ratio calculated for the total number of medical actions performed or the total number of prescribed medicines within the same evaluation period. And a threshold value may be compared. Moreover, the ratio of the number of executions after distribution to the number of executions before distribution and the like may be compared with a threshold value. The threshold value may be prepared for each item set as a measurement target.

  In the case of the present embodiment, it is assumed that only one measurement object is registered for one content. However, when a plurality of measurement objects are registered, any one of them obtains a positive result. If so, the process may proceed to step S103.

  When a positive result is obtained in step S102 (that is, when the numerical value is smaller than the threshold value), the analysis unit 46 determines that the distribution effect expected for the content has not been obtained. In this case, the analysis unit 46 searches for alternative content prepared in advance for the content to be determined (step S103).

  Alternative content candidates may be prepared in advance, for example, in the master table server 44 as a dedicated table. In addition, alternative content candidates may be prepared by searching the evaluation target master table 4430 (FIG. 7) for other content that includes at least the same measurement target as the measurement target whose number or number is less than the threshold. Good. Thus, when the content before substitution and after substitution contain the same measurement object, an alternative effect can be evaluated about the same measurement object. In addition, alternative content candidates are prepared by searching the evaluation target master table 4430 (FIG. 7) for other content including at least a measurement target that is different from the measurement target for which the number or number of times less than the threshold is detected. Also good.

  When the alternative content is searched, the analysis unit 46 changes the distribution schedule of the content for which the distribution effect has not been obtained to the distribution schedule of the searched alternative content (step S104). For example, the distribution schedule is changed so that the content B is distributed at the time used for the distribution of the content A.

  By the way, when multiple alternative content candidates are found, any one content may be selected, or content that has been highly effective in past results or other distribution destinations is selected preferentially. Also good. It is desirable that the method to be applied is set so that it can be appropriately selected according to the purpose. Furthermore, it is desirable to provide a function for excluding content that has been replaced from a distribution target in the past so that alternative content is not selected again.

  On the other hand, when a negative result is obtained in step S102 (that is, when the numerical value is equal to or larger than the threshold value), the analysis unit 46 determines that the distribution effect expected for the content is obtained. In the case of FIG. 12, the number of corresponding content distributions is increased in order to obtain a higher distribution effect (step S105). However, the number of distributions may be maintained as it is. When the number of distributions is maintained as it is, there are a case where no processing is executed in the first place and a case where an increase in the number of content distributions is instructed, but there are cases where the number of distributions cannot be increased due to the time frame of the distribution schedule.

  By providing the control function described above, the configuration of the distribution schedule for each distribution destination can be automatically changed to a content that may have a higher distribution effect.

(Control example 2)
FIG. 13 shows an example of a control operation for comparing the distribution effect among a plurality of contents determined in advance for a certain enlightenment item and automatically changing the content to a content having a high distribution effect. This function assumes a case where content for comparison determination corresponding to a specific disease is distributed within the same clinic or between a plurality of clinics. From the viewpoint of evaluating the content distribution effect, the distribution of the content for comparison determination in the same clinic is set so that the distribution periods do not overlap at least. In addition, the distribution of content for comparison determination between a plurality of clinics is set so that different content is distributed in each clinic.

  Although FIG. 13 shows a case where there are two contents for comparison determination in order to simplify the explanation, in reality, three or more contents may be registered for comparison. It is assumed that the content for comparison determination is stored in the master table server 44 as a dedicated table.

  First, the analysis unit 46 reads the contents A and B for comparison determination from the master table server 44, and extracts the number of executions or the number of prescriptions for each measurement object counted within the measurement period for each content (step S201).

  Next, the analysis unit 46 compares the delivery effect of the content A and the delivery effect of the content B, and determines which effect is greater or the same (step S202). The determination of the delivery effect may be made by comparing the number of executions or the number of prescriptions, or the ratios calculated for the total number of medical practices or the total number of prescribed medicines performed within the same evaluation period. You may compare. Further, the ratio of the number of executions after distribution to the number of executions before distribution may be compared. The determination may be made by comparing simple numerical values, but a threshold is set, and only when the difference or ratio with respect to one of the other exceeds the threshold, it is determined that the distribution effect of one or the other is large, and the difference or When the ratio is within the threshold, it may be determined that the two distribution effects are the same.

  In the case of FIG. 13, when the distribution effect of the content A and the distribution effect of the content B are the same, the analysis unit 46 ends the process without giving any change to the distribution schedule. If it is determined that the distribution effect of content A is greater than the distribution effect of content B, the analysis unit 46 changes the schedule so as to distribute content A instead of distribution of content B (step S203). ). On the other hand, when it is determined that the distribution effect of the content B is larger than the distribution effect of the content A, the analysis unit 46 changes the schedule so that the content B is distributed instead of the distribution of the content A (step S204). ). The schedule change is given from the analysis unit 46 to the distribution management server 31.

  By providing the control function described above, it is possible to perform control so that content having a relatively high distribution effect is preferentially distributed among a plurality of contents prepared for comparison.

(Control example 3)
FIG. 14 shows an example of automatic control of a delivery schedule for controlling the delivery of content so that the number of prescriptions for a specific medicine out of a plurality of medicines set as comparison targets exceeds that of other medicines.

  In FIG. 14, for the sake of simplicity, the case where there are two drugs for comparison and determination is shown, but in reality, a case where three or more drugs are registered for comparison is also assumed. It is assumed that the medicine for comparison determination is stored in the master table server 44 as a dedicated table.

  First, the analysis unit 46 reads the pharmaceutical products A and B for comparison determination from the master table server 44, and extracts the number of executions or the number of prescriptions by measurement object counted for each pharmaceutical product within the measurement period for each content (step S301). ).

  The analysis unit 46 determines whether or not the number of prescriptions of the pharmaceutical A for comparison determination is larger than the number of prescriptions of the pharmaceutical B for the same content (step S302). In this case as well, a processing operation in the case where the prescription number of the medicine A and the prescription number of the medicine B are the same may be prepared. In this embodiment, it is assumed that the number of prescriptions for the medicine A is to be given priority over the number of prescriptions for the medicine B. Therefore, if a positive result is obtained in step S302, the analysis unit 46 ends the corresponding process without changing the distribution schedule.

  On the other hand, when a negative result is obtained in step S302, the analysis unit 46 stops distributing the content used for the determination (step S303). When there are three or more pharmaceuticals for comparison determination, if at least one pharmaceutical with a larger number of prescriptions than pharmaceutical A is found, distribution of the content used for the determination is stopped. However, instead of stopping the distribution, control may be performed to reduce the number of distributions.

  Note that the comparison of the number of prescriptions in step S302 (that is, the comparison of the distribution effect) is not based on a simple comparison of the number of prescriptions as in the present embodiment, but the number of prescriptions before and after the start of distribution (when increased) May be carried out by comparing positive values and negative values when decreasing. For example, the number of monthly prescriptions before the start of distribution of the content corresponding to the medicine A is 0 and the number of monthly prescriptions after the start of the distribution is 20, whereas the number of monthly prescriptions before the start of the distribution of the content corresponding to the medicine B is 30. Consider the case where the number of monthly prescriptions after the start of distribution is 25. This numerical example is a numerical example in which distribution of content corresponding to the pharmaceutical A is stopped when the number of prescriptions is simply compared. However, when the increase / decrease number of the prescription number is compared, since the increase / decrease number of the drug A is higher, the distribution of the content corresponding to the drug A can be continued. In this way, it may be possible to select a delivery effect comparison method to be applied according to desired control.

  By providing the control function described above, it is possible to automatically control the content distribution contents to give priority to the prescription of a specific medicine. The content distribution assumed in the present embodiment is aimed at raising awareness of diseases and the like, and is not aimed at promoting sales of specific medicines. For this reason, it is often not known until the effect is confirmed which prescription of which medicine is increased by the distribution of content. However, it is not desirable for sponsor companies to increase the prescriptions of pharmaceuticals from other companies. Therefore, in this embodiment, the function exemplified in Control Example 3 is prepared as a function for meeting commercial needs.

(Control example 4)
FIG. 15 shows a comparison of content distribution effects between distribution areas (groups) or between a plurality of departments (distribution destinations), and compared with other distribution areas (groups) or departments. An example of automatic control for changing the distribution schedule of another distribution area or department (distribution destination) according to the distribution effect of the content when a content with a large difference is found will be shown.

  First, the analysis unit 46 extracts the number of executions or the number of prescriptions of each measurement target for each content by distribution area or medical department (step S401).

  Next, the analysis unit 46 determines whether there is an area or clinical department in which the number of executions or the number of prescriptions to be measured has changed significantly compared to other distribution areas or clinical departments between distribution areas or clinical departments ( Step S402). The determination is performed for each same measurement object. If there is no significant difference in the distribution effect trend before and after content distribution for the same measurement object, the analysis unit 46 terminates the corresponding process without executing any additional processing.

  The distribution effect is given by a tendency of change in the number of executions and the number of prescriptions before and after distribution, or a tendency of change in the ratio to the total number of executions and the total number of prescriptions. “Trend” can be classified into an increasing trend, a decreasing trend, and no change. “Trend” is an expression that conceptually includes a width. For this reason, in this embodiment, the standard deviation σ is used as the determination threshold, and when the value exceeds 2σ as compared with other numerical values, a difference in distribution effect is recognized.

  In step S402, when a region or department that greatly differs in distribution effect is found (when a positive result is obtained in step S402), the analysis unit 46 determines whether the change is an increase or a decrease (step S403).

  When the change is an increase, the analysis unit 46 increases the number of times of distribution of content whose measurement object has a large increase effect compared to other distribution areas, etc. in other distribution areas or newly adds the corresponding content. The distribution schedule is changed so as to be distributed (step S405).

  On the other hand, when the change is a decrease, the analysis unit 46 reduces the number of distributions of the content that has been recognized to have a large reduction effect in the measurement target as compared to other distribution areas or the like from other distribution areas or from the distribution schedule. It changes so that it may delete (step S406).

  By providing the control function described above, if content that is found to have a higher distribution effect than other distribution areas is discovered, the distribution of the content is added or distributed in other distribution areas. Can be used to increase.

  For example, if it turns out that the distribution effect of content created for enlightenment of women is higher in pediatrics than in gynecology, the distribution of the content may be newly started in pediatrics at other medical institutions or the number of distributions may be increased. Can be used. In addition, for example, it can be used to increase the distribution of content recognized as being effective in another administrative unit that is adjacent or of the same scale, even in a medical institution that belongs to another administrative unit.

  Also, unlike these, if content with a high reduction effect compared to other distribution areas or clinical departments is found, the distribution of that content is deleted from other distribution areas or from the number of distributions Can be reduced.

  By providing the control functions described above, it is possible to quickly identify content that has a high or low distribution effect as compared with the case of verifying only the receipt data collected from individual distribution destinations, and distribution schedules in other distribution areas, etc. Can be reflected.

(Control example 5)
FIG. 16 shows an example of automatic control for changing a content distribution schedule in another medical institution registered in cooperation based on a distribution effect verified in a certain medical institution (distribution destination). Note that the processing operation in FIG. 16 is executed after processing for increasing the number of times a certain content is distributed as a result of verifying the receipt data collected from a certain medical institution in the control example described above.

  Here, the analysis unit 46 determines whether or not there is another delivery destination that is registered in cooperation with the medical institution that is currently being verified (step S501). The analysis unit 46 refers to the cooperation table 4450 shown in FIG. The linkage table 4450 is stored in the master table server 44. In this table, information on the cooperation destination (distribution destination) registered for each distribution destination is registered as one record. The record is composed of a delivery destination ID 4451 that identifies the delivery destination, its name 4452, a first linkage destination ID 4453, its name 4454, a second linkage destination ID 4455, its name 4456, and the like.

  In the determination in step S501, if the cooperation destination cannot be found (a negative result is obtained), the analysis unit 46 ends the process as it is. On the other hand, when the cooperation destination is found (when an affirmative result is obtained), the analysis unit 46 adds the distribution of the content for which the distribution effect is recognized for the distribution schedules of other distribution destinations registered in cooperation, Or the process which increases the frequency | count of delivery is performed (step S502). Specifically, the analysis unit 46 instructs the distribution management server 31 to change the distribution schedule of another distribution destination registered in the cooperation destination.

  By providing the control function described above, it is possible to automatically distribute the distribution of content that has been successful at a certain distribution destination, or to increase the number of distributions at other distribution destinations that have a cooperative relationship. For example, by registering medical institutions in different departments, such as clinics of other departments located nearby, in cooperation with each other, content that has been proven in any clinic can be streamed in other clinics it can. In this case, it is possible to have an opportunity to introduce each other's patients between the clinics in a cooperative relationship. By the way, clinics that have received referrals can benefit from an increase in the number of medical examinees, and the clinics on the referral side can also enjoy the benefits of issuing a medical information provision form.

  DESCRIPTION OF SYMBOLS 1 ... Computer, 2 ... Set top box, 3 ... Display apparatus, 4 ... Receptacle computer, 5 ... Distribution / effect verification system, 5A ... Distribution system, 5B ... Effect verification system, 11 ... Medical institution system, 21, 22 ... Network , 31 ... Distribution management server, 32 ... Content server, 41 ... Receipt data storage server, 42 ... Content specific information acquisition unit, 43 ... Verification target information reading unit, 44 ... Master table server, 45 ... Count unit, 46 ... Analysis unit , 47 ... Analysis table server, 3000 ... Distribution schedule management master table, 4400 ... Wound and disease name master table, 4410 ... Medical practice act master table, 4420 ... Pharmaceutical product master table, 4430 ... Evaluation target master table, 4450 ... Cooperation table, 4510 ... Analysis table for each delivery destination 4520 ... group-by-group analysis for the table.

Claims (8)

Content specifying information acquisition means for acquiring information for specifying content distributed in a medical institution to be verified from a server that manages distribution of content;
Based on information for identifying the acquired content, verification target information reading means for reading out information on the medical practice and / or medicine associated with each content for verification of the delivery effect from the evaluation target master table;
A count unit that searches a server that stores the receipt data based on the read information and counts the number of medical actions performed and / or the number of prescribed medicines in a medical institution to be verified; ,
A digital signage effect verification system comprising: an analysis unit that manages the number of counted medical actions and / or the number of medicines in association with content. In the digital signage effect verification system according to claim 1,
The analysis means includes
The number of medical actions performed and / or the number of prescribed medicines performed before distributing the content, and the number of medical actions performed and / or the number of prescribed medicines performed after distributing the content. Is displayed on the display screen. Digital signage effect verification system. In the digital signage effect verification system according to claim 1,
The counting means includes
A processing unit that counts the number of medical actions and / or the number of medicines for each content,
The analysis means includes
A processing unit to quantify the distribution effect of each content based on the counted number of times and / or the number of the medicines of the medical practice,
A processing unit that compares a threshold value with a digitalized distribution effect for each content;
A processing unit that searches for alternative content for content that is determined to have the distribution effect smaller than the threshold;
A digital signage effect verification system, comprising: a processing unit that changes at least one of the searched alternative contents into distribution contents. In the digital signage effect verification system according to claim 1,
The counting means includes
For a plurality of contents set for comparison determination, a processing unit for counting the number of times of medical treatment and / or the number of medicines, respectively,
The analysis means includes
A processing unit that quantifies each delivery effect of the plurality of contents based on the counted number of medical actions and / or the number of the medicines;
A processing unit for comparing the distribution effects quantified for the plurality of contents;
A digital signage effect verification system, comprising: a processing unit that changes a distribution schedule of content having a low distribution effect to a distribution schedule of content having a high distribution effect. In the digital signage effect verification system according to claim 1,
The counting means includes
For a plurality of measurement objects for comparison determination, a processing unit that counts the number of medical actions and / or the number of medicines by content,
The analysis means includes
A processing unit that quantifies each delivery effect of the plurality of contents based on the counted number of medical actions and / or the number of the medicines;
A processing unit for comparing the distribution effects quantified for the plurality of contents;
A digital signage effect verification system, comprising: a processing unit that at least increases a distribution schedule of content having a higher distribution effect. In the digital signage effect verification system according to claim 1,
The counting means includes
A processing unit that counts the number of medical actions performed at a plurality of delivery destinations and / or the number of prescribed medicines for each delivery destination group registered in advance;
The analysis means includes
A processing unit that determines the presence / absence of a distribution destination group having a distribution effect tendency greatly different among the plurality of distribution destination groups based on the number of times and / or the number counted for each distribution destination group; ,
A processing unit that increases or adds the distribution of content distributed in the distribution destination group in another distribution destination group when there is a distribution destination group in which the distribution effect is increased;
When there is a delivery destination group with a reduced delivery effect, it has a processing unit that reduces or deletes the delivery of the content delivered by the delivery destination group in another delivery destination group system. In the digital signage effect verification system according to claim 1,
The analysis means includes a processing unit that increases a distribution schedule for another medical institution registered with the certain medical institution when the distribution schedule of a certain content is increased in a certain medical institution. Digital signage effect verification system. The computers that make up the digital signage effect verification system
Content specifying information acquisition means for acquiring information for specifying content distributed in a medical institution to be verified from a server that manages distribution of the content;
Verification target information reading means for reading out information on medical practices and / or medicines associated with each content for verification of the delivery effect from the evaluation target master table based on the information specifying the acquired content,
A count unit that searches a server that stores the receipt data based on the read information, and counts the number of medical actions performed and / or the number of prescribed medicines in a medical institution to be verified,
A program for functioning as an analysis means for managing the number of counted medical actions and / or the number of medicines in association with content.

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