JP2016134132A - Information processing system and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information processing system, a program, or the like for automatically retrieving appropriate information useful to a user's health promotion and medial treatment by creating a retrieval condition on the basis of acquired information.SOLUTION: An information processing system 100 includes an information acquisition part 110 for acquiring a user's biological information and subjective symptom information, a retrieval condition creation part 120 for creating a retrieval condition to be used for retrieval processing of information about the user's health on the basis of the acquired biological information and subjective symptom information, and a medical knowledge database MDB, and a retrieval processing part 130 for executing retrieval processing to acquire retrieval result information on the basis of the created retrieval condition.SELECTED DRAWING: Figure 1

Description

  The present invention relates to an information processing system, a program, and the like.

  In recent years, with regard to his / her health condition, advice and information other than that from a doctor have been sought from the web, etc., and the individual's knowledge of what is the cause of his / her current symptoms and what kind of treatment should be received is increasing. In addition, during hospital visits and treatments, there are an increasing number of people who are collecting information independently on their own and treating them as a second opinion other than the opinions of the attending physician.

  In recent years, blogs and homepages have increasingly published treatment records in the form of fighting disease diaries and the like. There are also an increasing number of bulletin boards and community sites for patients and healthcare professionals. In this way, it can be said that an environment has been established in which raw data close to the clinical situation in which the disease is actually treated can be obtained, rather than general medical textbook information. Therefore, if you can find appropriate information from such information sites, you can make your own health promotion, treatment policy, countermeasures, and so on.

  There are various known techniques for creating databases that serve as a basis for information useful for health. For example, Patent Document 1 discloses a technique for storing personal medical information (health information) and browsing through a network. Patent Document 2 also discloses a medical comprehensive information system (apparatus) that stores medical information.

JP 2002-183316 A International Publication No. 2005/122033

  As in Patent Document 1 and Patent Document 2, techniques for accumulating and utilizing vital information (biological information) and self-medical data that are constantly measured are widely known. Is assumed to be used when judging. For this reason, it does not disclose a method for automatically showing materials (information) that can be used for future treatments (drugs, treatments, etc.) that can be judged by oneself.

  Therefore, most of the current methods are to search related sites with keywords that have come up on the Web, or to ask a question site about their symptoms and wait for an appropriate answer. The former has a problem that it is very difficult to set an appropriate keyword, and it is difficult to obtain information that you think. On the other hand, in the latter, the contents that can be explained by the question text are limited, and it is difficult to objectively express your symptoms and it is difficult to obtain the answer you want.

  According to some aspects of the present invention, an information processing system, a program, and the like are provided that automatically search for appropriate information useful for promoting the health and treatment of a user by creating a search condition based on the acquired information. be able to.

  One aspect of the present invention is that an information acquisition unit that acquires a user's biological information and subjective symptom information, information on the user's health based on the acquired biological information and subjective symptom information, and a medical knowledge database. Related to an information processing system comprising: a search condition creating unit for creating a search condition used for search processing; and a search processing unit for executing the search process and acquiring search result information based on the created search condition To do.

  In one aspect of the present invention, user biometric information and subjective symptom information are acquired, and a search condition is created using the two and a medical knowledge database. This makes it easy to create appropriate search conditions, reducing the burden on the user in searching for information related to health compared to the case where the search is repeated from subjective symptom information by trial and error as in the conventional method. It becomes possible. Further, since not only subjective symptom information but also biological information is used, more appropriate information can be narrowed down.

  In the aspect of the invention, the search condition creating unit may create the search condition including the acquired biological information of the user based on the subjective symptom information and the medical knowledge database. Good.

  Thereby, it becomes possible to include the acquired biometric information of the user in the search condition.

  In one aspect of the present invention, when the information acquisition unit acquires numerical data as the biological information of the user, the search condition generation unit is based on the subjective symptom information and the medical knowledge database. Then, the search condition including a given numerical range corresponding to the numerical data of the acquired biological information of the user may be created.

  As a result, when the acquired user's biometric information is included in the search condition, a numerical range is used instead of the numerical value itself, so that an appropriate search can be performed.

  In one aspect of the present invention, the information acquisition unit acquires a plurality of the biological information as the biological information of the user, and the search condition creation unit includes the subjective symptom information, the medical knowledge database, The biometric information to be included in the search condition may be selected from the acquired plurality of biometric information.

  Thereby, when including the acquired user's biometric information in the search condition, it becomes possible to appropriately narrow down using the subjective symptom information and the medical knowledge database.

  Moreover, in one aspect of the present invention, the medical knowledge database includes, for each of a plurality of diseases, symptom information indicating a symptom related to the illness and corresponding biometric information that is the biometric information corresponding to the symptom. It may be an associated database.

  This makes it possible to perform processing using a medical knowledge database in which illness, symptom information, and corresponding biometric information are associated.

  Moreover, in one aspect of the present invention, the search condition creating unit performs a comparison process between the subjective symptom information and the symptom information included in the medical knowledge database, and a plurality of the plurality of the included in the medical knowledge database. Of the illnesses, which illness is associated with the user may be identified.

  Thereby, it is possible to specify a disease related to the user and create a search condition using the specified result.

  In the aspect of the invention, the search condition creating unit may perform processing for including the biometric information of the user corresponding to the corresponding biometric information associated with the specified disease in the search condition. Good.

  This makes it possible to use the corresponding biometric information when selecting the biometric information included in the search condition.

  In the aspect of the invention, the search condition creating unit may perform a process of including the symptom information associated with the identified disease in the search condition.

  Thereby, symptom information can be included in the search condition.

  Moreover, in one aspect of the present invention, the search condition creating unit associates with the identified disease based on the corresponding biological information associated with the identified disease and the biological information of the user. The symptom information to be included in the search condition may be selected from the plurality of symptom information.

  Thereby, when including symptom information in a search condition, it becomes possible to use a disease specific result.

  In one aspect of the present invention, the medical knowledge database is a database in which drug information is associated with side effect symptom information representing a side effect corresponding to the drug information, and the information acquisition unit The information may be acquired, and the search condition creation unit may create the search condition based on the medication information and the medicine information in the medical knowledge database.

  This makes it possible to perform search condition creation processing using information related to medicine.

  In the aspect of the invention, the search condition creating unit may create the search condition that further narrows down the information acquired by the subjective symptom information by the biometric information of the user.

  As a result, appropriate information can be narrowed down as compared with the case where only subjective symptom information is used, so that more useful information can be acquired by performing a search process using search conditions.

  In one aspect of the present invention, the biological information of the user is at least one of information acquired by a biological information detection device and health check result information indicating a result of the user's health check. Also good.

  This makes it possible to use information from the biological information detection device and health check result information as biological information.

  Further, in one aspect of the present invention, the subjective symptom information is at least one of information on a part where the user feels abnormal and information indicating a symptom appearing on the part where the user feels abnormal. Information input by the user may be used.

  This makes it possible to use, as subjective symptom information, information on a part input by the user and information on a symptom appearing in the part.

  According to another aspect of the present invention, the health of the user is based on the information acquisition unit that acquires the biological information and medication information of the user, the acquired biological information and medication information, and the medical knowledge database. Information processing comprising: a search condition creating unit that creates a search condition for use in a search process for information related to information; and a search processing unit that executes the search process and acquires search result information based on the created search condition Related to the system.

  In another aspect of the present invention, the user's biological information and medication information are acquired, and a search condition is created using the two and the medical knowledge database. As a result, appropriate search conditions can be easily created. Therefore, compared to the case where the search is repeated by trial and error from subjective symptom information as in the conventional method, the search for information on health, especially information on drugs, is performed. It is possible to reduce the burden on the user.

  In one aspect of the present invention, the medical knowledge database is a database in which drug information and side effect symptom information representing a side effect corresponding to the drug information are associated with each other, and the search condition creating unit includes the medication information And the search condition may be created based on the medicine information in the medical knowledge database.

  This makes it possible to perform processing using a medical knowledge database in which drug information and side effect symptom information are associated.

  According to another aspect of the present invention, there is provided a transmission processing unit that performs a request process of a search process for information related to the user's health according to a search condition created based on the user's biological information and subjective symptom information and a medical knowledge database; The present invention relates to a program that causes a computer to function as a reception processing unit that acquires search result information based on the generated search condition and a display processing unit that performs display processing of the acquired search result information.

The structural example of the information processing system which concerns on this embodiment. 2A and 2B are configuration examples of a system including an information processing system according to the present embodiment. 3A and 3B are external views of the biological information detection apparatus. The other external view of a biological information detection apparatus. 5A to 5C are specific examples of a medical knowledge database. The figure explaining search condition creation processing. The figure explaining the specific example of search condition creation processing. Specific examples of search conditions when a disease is identified. The conceptual diagram of the search process of this embodiment. Modification of medical knowledge database. Another modification of the medical knowledge database. The sequence diagram explaining the flow of a process of this embodiment.

  Hereinafter, this embodiment will be described. In addition, this embodiment demonstrated below does not unduly limit the content of this invention described in the claim. In addition, all the configurations described in the present embodiment are not necessarily essential configuration requirements of the present invention.

1. First, the method of this embodiment will be described. As disclosed in Patent Document 1 and Patent Document 2, a technique for collecting information on the health of a user (patient) and creating a database is widely known. Further, with the recent development of the Internet, in a narrow sense, SNS (Social Networking Service), health-related information is accumulated on the network and can be viewed by others. For example, a user who suffers from a given illness posts his / her symptoms and medication history in a diary format, or a community is formed where many users related to the given illness are gathered, and information exchange in the community is posted to the bulletin board etc. It may be left as a history. Alternatively, a community of medical personnel (doctors in a narrow sense) is formed, and knowledge such as the results of treatment and research results may be exchanged on the network.

  Thus, when trying to collect information about one's own health, a situation has been realized in which a lot of useful information exists on the network. For this reason, when something goes wrong, it is becoming possible to determine what kind of illness you have and what you should do with information from the network. In addition, even if a doctor has already been examined and the name of a disease or specific treatment has been performed, information on the network can be used as a second opinion to determine whether or not the doctor's diagnosis is correct. There may be a desire to utilize

  However, it is not easy to use such information sources. For example, when searching with a keyword that you came up with, it is very difficult to set an appropriate keyword. For example, when subjective symptoms such as headache and palpitation are used as keywords, if the symptom appears in many illnesses, a huge amount of information is hit and is not useful for narrowing down the information. Moreover, if keywords are added as they are conceived, even those that are not closely related to the actual disease are included in the search condition, and necessary information cannot be acquired. Furthermore, it is not easy to properly grasp (objectively) my symptoms. For example, even if it is known that “something is unwell”, it may be difficult to recognize what part of which part is appearing as what kind of disorder. Also, even if there is an abnormality in the “abdomen”, it may be difficult to judge whether it is “pain” or “tension”. Evaluation may not be possible. In addition, since it is not common to accurately measure the frequency of pain using a timer or the like, expressions such as “frequently”, “sometimes”, and “rarely” are used with different senses for each user.

  As a result, the user needs to carefully examine the keywords or adjust the search keywords by trial and error by looking at the search results. In addition, there is a high possibility that useful information and information that is not so are mixed in the search result, and the user himself / herself needs to select (organize) the search result. Furthermore, in order to organize the search results, it is necessary to consider what point (concept) to perform, and it may be difficult to organize itself or may take a long time even if possible. In other words, at present, I can't grasp my health condition (I don't know my condition), or I don't know how to search for my condition (for example, I don't know how to select a search keyword to use or the point of organizing search results) It was difficult to find useful information for treatment.

  The same applies to the case where a question site is asked about his / her symptoms and an appropriate answer is waited. Specifically, the content that can be explained in the question text is limited, or it is difficult to objectively express your symptoms, and it is difficult to obtain the answer you want. Specifically, the answer content of the respondent may not be what the user wants. Or, when multiple respondents respond, it is necessary to select a useful answer from among them, and there is a possibility that a useful part and a part that are not in one answer may occur, which is a burden on the user. Is not light.

  Therefore, the present applicant proposes a system that automatically generates an appropriate search condition based on information obtained when individual user information (self-health information) is acquired. Specifically, as illustrated in FIG. 1, the information processing system 100 according to the present embodiment includes an information acquisition unit 110 that acquires user's biological information and subjective symptom information, and acquired biological information and subjective symptom information. And a search condition creating unit 120 that creates a search condition used for a search process of information related to the user's health based on the medical knowledge database MDB, and a search result based on the created search condition. A search processing unit 130 for acquiring information is included.

  Here, the biological information (vital information) is information acquired due to the life activity of the user. Note that the biological information of the present embodiment is not limited to blood pressure, pulse rate, respiration, and body temperature, which are generally targets when measuring “vital sign”, and may include other information. For example, the biological information may include body weight and body fat percentage, and may include results of blood tests and urine tests. In addition, the biometric information of the present embodiment is not limited to the one that the user obtains by operating any biometric information detection device (either wearable type or non-wearable type) by himself / herself, and the result of a health check performed at a medical institution Such information may be used.

  The subjective symptom information is a symptom perceived by the user himself and is expressed in various forms. For example, it may be sentence data “head hurts”, word data “headache”, or sentence data composed of a plurality of sentences. Further, the subjective symptom information of the present embodiment may include information on intensity and frequency such as “the head is“ very painful ”or“ the head is “sometimes” painful ”. In addition, the result of performing morphological analysis processing described later on sentence data and sentence data is also included in the subjective symptom information of this embodiment. The subjective symptom information is composed of a part where the symptom appears (for example, “head”) and a specific symptom (for example, “pain”) as described above. Can be implemented.

  According to the method of this embodiment, after acquiring both biological information and subjective symptom information, a search condition is generated using the medical knowledge database MDB. In the conventional method, as described above, keyword search or the like is performed mainly using subjective symptoms. However, in the present embodiment, biometric information can be further used, and therefore, appropriate information can be narrowed down. In this case, the acquired information is not used as a search condition as it is, but the search condition is obtained using the medical knowledge database MDB. For example, unnecessary biological information and subjective symptom information are removed from the search condition. It is possible to make it easier to obtain more useful information.

  In addition, it can be said that the search condition creating unit 120 according to the present embodiment creates a search condition for further narrowing down the information acquired from the subjective symptom information by the user's biological information. In other words, in the case of the conventional method, the subjective symptom information is used as it is and the search is performed by trial and error. However, in the present embodiment, it is possible to appropriately narrow down the information by using the biometric information together. A specific narrowing method (search condition creation method) will be described later.

  Hereinafter, first, detailed configuration examples of the information processing system 100 and the electronic apparatus according to the present embodiment will be described. Thereafter, specific examples of biological information and subjective symptom information, and conversion processing of each acquired information will be described. Furthermore, a specific data structure example of the medical knowledge database MDB will be described, and a specific example of processing for creating a search condition using the medical knowledge database MDB, biological information, and subjective symptom information will be described. Finally, the processing flow of this embodiment will be described with reference to FIG.

2. System Configuration Example The information processing system 100 according to the present embodiment includes the information acquisition unit 110, the search condition creation unit 120, and the search processing unit 130 as described above with reference to FIG. However, the information processing system 100 is not limited to the configuration shown in FIG. 1, and various modifications such as addition of other components are possible.

  The information acquisition unit 110 acquires the user's biological information and subjective symptom information. The information acquisition unit 110 may be realized as an interface for acquiring information from other devices, for example, and acquires information from other devices via the network NE as will be described later with reference to FIG. If it is, it is implement | achieved as a communication part (reception process part) which has a communication function.

  The search condition creation unit 120 creates a search condition based on the user's biological information and subjective symptom information acquired by the information acquisition unit 110 and the medical knowledge database MDB. The search condition creation process will be described later together with a specific configuration example of the medical knowledge database MDB.

  The search processing unit 130 executes a search process using the search condition created by the search condition creation unit 120 and acquires search result information. In the example of FIG. 1, the search target is assumed to be an electronic medical record database ECDB, a Web network WE, or the like.

  FIG. 2A illustrates a specific implementation example of a system including the information processing system 100 according to the present embodiment. The system in FIG. 2A includes a server system 200, a terminal device 300, and a biological information detection device (biological information measurement device) 400, which are connected via a network NE.

  The information processing system 100 according to the present embodiment can be realized in various forms. For example, the server system 200 in FIG. 2 corresponds to the information processing system 100, and the terminal device 300 and the biological information detection device 400 are processing targets. It may be a device used by a user.

  FIGS. 3A to 4 show examples of external views of a biological information detection apparatus 400 that collects biological information (pulse wave information in a narrow sense). The biological information detection apparatus 400 according to this embodiment includes a band unit 10, a case unit 30, and a sensor unit 40. The case part 30 is attached to the band part 10. The sensor unit 40 is provided in the case unit 30.

  The band unit 10 is for wrapping around the wrist of the user and mounting the biological information detection device 400. The band part 10 has a band hole 12 and a buckle part 14. The buckle portion 14 has a band insertion portion 15 and a projection portion 16. The user inserts one end side of the band unit 10 into the band insertion unit 15 of the buckle unit 14, and inserts the protrusion 16 of the buckle unit 14 into the band hole 12 of the band unit 10, whereby the biological information detection device 400 is configured. Wear on your wrist. In addition, the band part 10 is good also as a structure which has a buckle instead of the buckle part 14. FIG.

  The case part 30 corresponds to the main body part of the biological information detecting device 400. Various components of the biological information detection apparatus 400 such as the sensor unit 40 and a circuit board (not shown) are provided inside the case unit 30. That is, the case part 30 is a housing for housing these components.

  The case part 30 is provided with a light emitting window part 32. The light emitting window 32 is formed of a light transmissive member. The case portion 30 is provided with a light emitting portion as an interface mounted on a flexible substrate, and light from the light emitting portion is emitted to the outside of the case portion 30 through the light emitting window portion 32.

  The biological information detection apparatus 400 is worn on the user's wrist as shown in FIG. 2A and the like, and pulse wave information (biological information in a broad sense) is measured in the worn state. Specifically, the sensor unit 40 includes a photoelectric sensor having a light emitting unit and a light receiving unit, and measures pulse wave information using the photoelectric sensor. Note that measurement of pulse wave information using a photoelectric sensor is a well-known technique, and thus detailed description thereof is omitted. Further, the wearing part of the biological information detection apparatus 400 may be an ankle, a finger, an upper arm, or the like.

  The biological information detection device 400 is not limited to the band type (watch type) shown in FIGS. 3A to 4, but is a band type device worn on the chest, a device attached to the neck, etc., and a glasses type (face) Various devices such as a wearable device can be used. Furthermore, the sensor to be mounted is not limited to the photoelectric sensor, and various sensors such as an ultrasonic sensor, a body motion sensor (for example, an acceleration sensor), and a position sensor such as a GPS receiver can be used.

  The biological information detected by the biological information detection device 400 is transmitted to the server system 200 via the network NE, and is acquired by the information acquisition unit 110 of the server system 200 (information processing system 100). The network NE here can be realized by a WAN (Wide Area Network), a LAN (Local Area Network), or the like, regardless of wired or wireless.

  The network NE may include short-range wireless communication (NFC) such as Bluetooth (registered trademark). Therefore, an embodiment in which the biological information detection device 400 and the terminal device 300 are connected by short-range wireless communication and the terminal device 300 is connected to the server system 200 by the Internet or the like is also conceivable. That is, when biometric information from the biometric information detection apparatus 400 is acquired by the server system 200, communication via another apparatus such as the terminal apparatus 300 may be performed. Specifically, the biometric information can be transmitted from the biometric information detection device 400 to the terminal device 300 by short-range wireless communication, and the biometric information can be transmitted to the server system 200 via the Internet or the like. Alternatively, the biological information detection device 400 and the terminal device 300 may be connected by wire using a USB (Universal Serial Bus), a microUSB, or the like.

  Although the terminal device 300 is a small portable terminal such as a smartphone in FIG. 2A, the terminal device 300 is not limited to this and may be a stationary device such as a PC. The terminal device 300 includes an input unit (an operation unit such as a keyboard, a mouse, and a touch panel) and a display unit in a narrow sense. The user operates the terminal device 300 to input subjective symptom information that is an abnormality (symptom) perceived by the user, and transmits it to the server system 200. Then, the information acquisition unit 110 of the server system 200 (information processing system 100) acquires the subjective symptom information.

  Although details will be described later, the biometric information of the present embodiment is not limited to that detected by the wearable biometric information detection device as shown in FIGS. It includes information measured by a biological information detection device and health check result information indicating the result of a health check in a hospital or the like. When the stationary biological information detection device can be connected to the network NE, or when the health check result is converted into electronic data and the electronic data is stored in the device that can be connected to the network NE, Information can be transmitted from each device to the server system 200. That is, in the present embodiment, the biological information is not limited to that transmitted from the terminal device 300. It is also conceivable that biometric information is printed out (obtained by a paper medium) because each device cannot be connected to the network NE. In such a case, the biological information may be input to the terminal device 300 and transmitted to the server system 200 via the terminal device 300.

  After the user's biological information and subjective symptom information are acquired in the server system 200 by the above flow, the server system 200 performs search condition creation processing by the search condition creation unit 120 and search processing by the search processing unit 130 to obtain search result information. To get.

  The server system 200 may be configured by one server device (processing device), but is not limited thereto, and may be realized as a set of a plurality of server devices. For example, the server system 200 may be a set of database servers, application servers, and the like. In that case, since each server apparatus should just be able to operate | move in relation with each other, it is not necessary to be provided in the physically close position, The form arrange | positioned in the distant position and connected by network NE may be sufficient. . In FIG. 1, the medical knowledge database MDB is external to the information processing system 100. However, the present invention is not limited to this, and the server system 200 may include the medical knowledge database MDB. Furthermore, the electronic medical record database ECDB to be searched is not limited to the embodiment outside the information processing system 100 and may be included in the server system 200.

  When the search result information is acquired by the server system 200, the search result information needs to be in a state that can be browsed by the user. There are various search result presentation methods. For example, a printout is executed in the server system 200, and a person in charge of managing the server (for example, a search service provider) mails a printed matter to the user. Also good. Alternatively, the search result information may be transmitted to the terminal device 300 via the network NE, and the search result information may be displayed on the display unit of the terminal device 300. In this respect, the search result information may be information representing the search result itself, or may be information on a display screen that displays the search result (or display control information).

  In the above description, the terminal device 300 and the biological information detection device 400 are operated by the user. However, the present invention is not limited to this. For example, a search service according to the present embodiment is provided by a medical institution, a public institution, or a private service provider, and the terminal device 300 (and the biological information detection device 400 as necessary) is provided by the institution. May be managed. For example, the terminal device may be a PC installed in a medical institution or the like, and the biological information detection device 400 may be purchased by a user or lent from a medical institution. In this case, for example, input of subjective symptom information, input of health check result information in the terminal device 300, and the like may be executed by a medical institution-related person who receives a user request. In addition, an embodiment in which a medical institution or the like executes display or printout of search result information and provides search result information to a user with an explanation is also possible.

  Further, both the input of subjective symptom information and the display of search result information need not be executed in the common terminal device 300, and may be executed in different devices. 3A to 4 show the biological information detection device 400 that does not have a display unit, the biological information detection device 400 may include a display unit. In that case, at least one of the input of subjective symptom information and the display of search result information may be executed in the biological information detection apparatus 400.

  Further, the method of the present embodiment is not limited to that applied to the information processing system 100. For example, a transmission processing unit that performs a request process of a search process for information related to a user's health based on a search condition created based on the user's biological information and subjective symptom information and a medical knowledge database, and the created search condition The present invention can be applied to a program that causes a computer to function as a reception processing unit that acquires search result information based thereon and a display processing unit that performs display processing of the acquired search result information.

  In this way, it is possible to execute an appropriate search request to the information processing system 100 and to acquire and display search result information. For example, when the information processing system 100 is realized by the server system 200, this program is installed in the terminal device 300 of FIG. 2A and can be used for realizing a search service using the terminal device 300. As an example, the program according to the present embodiment may be an application that operates on the terminal device 300 that is a smartphone.

  In the above description, the information processing system 100 according to the present embodiment is realized by the server system 200. However, the present invention is not limited to this. For example, the information processing system 100 according to the present embodiment may be realized by the terminal device 300 instead of the server system 200. A configuration example in this case is shown in FIG. A terminal device such as a PC, particularly a mobile terminal device such as a smartphone, is often limited in processing performance, storage area, and battery capacity as compared to the server system 200, but sufficient processing can be performed in consideration of recent performance improvements. It may be possible to ensure performance and the like. Therefore, the terminal device 300 can be the information processing system 100 according to the present embodiment as long as the processing performance and the like are satisfied.

  Furthermore, in consideration of improvement in terminal performance or usage pattern, an embodiment in which the information processing system 100 according to the present embodiment is realized by the biological information detection device 400 is not denied. In this case, the information acquisition unit 110 acquires information from a biological sensor (for example, the sensor unit 40 in FIG. 4) in the same device. When the information processing system 100 is realized by the biological information detection device 400, the information processing system 100 is low in necessity for creating search conditions (and executing search processing) for a large number of users. One or a small number of users using the device 400 may be targeted. In other words, the possibility of satisfying the user's request is also conceivable in the processing performance of the biological information detecting apparatus 400.

  In the above description, the information processing system 100 is realized by any one of the server system 200, the terminal device 300, and the biological information detection device 400. However, the present invention is not limited to this. For example, acquisition of a user's biological information and subjective symptom information, search condition creation processing using the acquired information and the medical knowledge database MDB, and search processing using the search conditions may be realized by distributed processing of a plurality of devices. . Specifically, the information processing system 100 may be realized by at least two or more of the server system 200, the terminal device 300, and the biological information detection device 400. Alternatively, the processing according to the present embodiment may be performed in another device, and the information processing system 100 according to the present embodiment can be realized by various devices (or combinations of devices).

3. Next, the biological information and subjective symptom information according to the present embodiment will be described in detail, and preprocessing (conversion processing) performed on the biological information and the like for the search condition creation processing will be described. To do.

  The biometric information of the user according to the present embodiment is at least one of information acquired by the biometric information detection device 400 and health check result information representing a result of the user's health check.

  As described above, the biological information detection device 400 may be a band type device as shown in FIGS. 3A to 4, another wearable type device, or a stationary type. The apparatus may be used. As the stationary apparatus, for example, a blood pressure monitor installed in a medical institution or the like can be considered.

  That is, the user's biological information is data that is measured on a daily basis (always in a narrow sense) as a result of the user's own measurement, and is specifically information that represents the current state of the user in real time. Specifically, the biological information includes a pulse (heartbeat), body temperature, blood pressure, blood glucose, electrocardiogram, and the like.

  When the wearable biological information detection apparatus 400 is used, biological information can be detected with high frequency (for example, constantly). For example, in the case of the biological information detection apparatus 400 (pulse meter) shown in FIGS. 3A to 4, the pulse wave information has a frequency of about once every 4 seconds for a long time (for example, several tens of hours). Can be continuously measured.

  When acquiring the pulse rate as the pulse wave information, one pulse rate is acquired per 4 seconds, and therefore, numerical data of several thousand to 10,000 or more is acquired even in one-day measurement. In that case, if all of them are used for creating search conditions, the processing load increases. Therefore, when a large amount of information is acquired, the search condition creating unit 120 may perform preprocessing on the information and use the result of the preprocessing for the search condition creating process.

  Specifically, characteristic information representing the user's state may be obtained from a plurality of pieces of biological information acquired in time series. As an example, a statistical value such as an average value, median value, maximum value, minimum value, etc. of a plurality of numerical data may be obtained. The period for which the statistical value is obtained can be set in various ways. For example, the statistical value may be obtained every day or every week.

  Alternatively, the content of the preprocessing may be changed in consideration of the characteristics of the biological information. For example, when measuring pulse wave information as biological information, it is known that the pulse rate decreases during sleep and increases during exercise. Therefore, sleep determination and exercise determination are performed using other information (for example, body motion information) acquired from the biological information detection device 400, and processing for obtaining the statistical value is performed separately during sleep and during exercise. May be. For example, only during sleep may be set as a target for preprocessing, and further, a modification may be made such that a minimum value is obtained as a statistical value. In that case, it becomes possible to obtain the minimum value (minimum heart rate, base heart rate) of the pulse rate that the target user can take by preprocessing.

  Further, when the stationary biological information detection apparatus 400 is used, it is considered that the number of data acquired when compared with the wearable apparatus is small. Therefore, in that case, the acquired biological information may be used as it is for the search condition creation process. Or you may obtain | require some statistical values similarly to the example mentioned above.

  The health check result information includes blood test results, X-ray test results, electrocardiogram measurement results, visual acuity hearing measurement results, and the like. In medical examinations, equipment and facilities that are installed in medical institutions and operated by specialists can be used, so it is possible to obtain information that is not included in biometric information that can be obtained by individuals. is there. However, as can be understood from the fact that an electrocardiogram can be acquired by either a medical institution device or a portable device such as a Holter electrocardiograph, a living body acquired by operating the biological information detection device 400 by the user himself / herself. It is not prevented that the information and the contents of the health examination result information overlap.

  Since it is not assumed that many values and many results are acquired for the health check result information, the pre-processing may be performed for each item. Each piece of information on the health check result information can be expressed in various formats. For example, when the blood concentration (or content) of a given component is obtained by a blood test, numerical data representing the concentration (amount) may be used. Alternatively, in the case of an X-ray examination, the acquired X-ray image data itself may be used, or enlarged view data of an abnormal part may be used. Alternatively, it may be text data representing a doctor's findings on the X-ray image or a result of morphological analysis processing on the text data. In the case of an electrocardiogram, it may be an electrocardiogram waveform itself, information on a characteristic waveform such as an R wave, or information on abnormal findings such as “right leg block” and “complete leg block”. Also good.

  In recent years, health check result information may be converted to electronic data. In that case, instead of the user manually inputting the health check result information, a process of transmitting the health check result information as electronic data to the server system 200 may be performed.

  The subjective symptom information is at least one of information on a part where the user feels abnormality and information indicating a symptom appearing on the part where the user feels abnormality, and is information input by the user. For example, as described above, the input by the user is performed by the terminal device 300 in FIG.

  The subjective symptom information may be a sentence that the user voluntarily inputs, or may be an answer to a question item prepared in advance. The subjective symptom information is basic information representing a user's basic intention, intention, and current situation when finding out information about his / her health.

  As can be understood from a general Web search, information including a search word is required in the search process. In other words, when sentence data is used as a search keyword, there is a difference in word order, particle, etc. even if there is a search target containing a sentence having the same meaning (for example, a Web page containing a sentence having the same meaning as the search keyword). Will be excluded from the search results. Therefore, it is desirable that the search keyword is one or more words.

  Therefore, in the present embodiment, when sentence data or sentence data is input as subjective symptom information, it is preferable to perform a preprocessing for extracting a necessary word therefrom and use the result of the preprocessing for a search condition creation process. Specifically, the search condition creating unit 120 may perform natural language processing such as known morphological analysis processing on the acquired subjective symptom information. The morphological analysis process can also analyze the part of speech, so for example, compare a word classified as a noun with a human body region dictionary (or medical dictionary) to identify and search for a region where the user feels abnormal What is necessary is just to use for condition creation processing.

  In addition, nouns, adjectives, verbs, adverbs, etc. may be candidates for symptoms (medical conditions). For example, when the user feels pain at a given site, there are various expressions such as “pain”, “pain”, and “pain”. Further, as described above, words representing the degree and frequency such as “very” and “sometimes” may be included in the subjective symptom information of this embodiment. When sentence data and sentence data include nouns representing disease names, the disease names may be included in the subjective symptom information of the present embodiment.

4). Specific Example of Medical Knowledge Database and Search Condition Creation Processing Next, details of the search condition creation processing in the search condition creation unit 120 using the medical knowledge database MDB will be described.

  The medical knowledge database MDB according to the present embodiment is a database in which, for each of a plurality of diseases, symptom information indicating symptoms related to the disease and corresponding biological information that is biological information corresponding to the symptoms are associated with each other. Also good.

  Specific examples of the medical knowledge database MDB are shown in FIGS. 5 (A) to 5 (C). FIG. 5A shows a data structure for one disease included in the medical knowledge database MDB. The medical knowledge database MDB is a database including a plurality of data having the structure shown in FIG. One disease is associated with a disease name of the disease, a site where the patient with the disease feels abnormal, and a symptom observed at the site, and further, corresponding biometric information corresponding to the symptom at the site is associated. .

  A specific example of data is shown in FIG. Here, for example, when disease = diabetes, region = chest, symptom = palpitation, corresponding biometric information = heartbeat (or pulse). Corresponding biometric information is biometric information that characteristically represents a symptom at an associated site (it is assumed that the value is different from a normal value due to the symptom). In the above example, when feeling palpitation, the pulse rate becomes high, or the pulse rate changes extremely in time series.

  Alternatively, in the case of the symptom “swelling”, the blood pressure is considered to increase, and therefore the blood pressure may be associated as the corresponding biometric information. The data structure of this medical knowledge database MDB is not a general medical knowledge system, but from the patient's point of view, where subjective symptoms and worrisome symptoms occur and what are reflected in the vitals You can build it by associating.

  Note that various databases for realizing the data structure shown in FIG. 5A can be considered, but as an example, the database shown in FIG. 5C may be used.

  Various methods are conceivable as to how to create a search condition from the medical knowledge database MDB, biological information, and subjective symptom information. In the present embodiment, for example, the search condition creation unit 120 may create a search condition including the acquired user biometric information based on the subjective symptom information and the medical knowledge database.

  Various description methods of search conditions in the present embodiment are conceivable. For example, the same description method as that used when using a Web search engine may be used. Specifically, a word (or a numerical value or a numerical value range) may be used as one search unit, and the search unit may be connected by a logical operation. For example, in the search for a Web page, if the words A, B, and C are described, the search targets are “Web page including A”, “Web page including B”, and “Web page including C”, respectively. Become. Then, according to the information desired by the user, the combination of the three search conditions may be determined such as A and B and C, or A or B or C, or other. Since the former is an AND condition, only Web pages including all ABCs are extracted, whereas the latter is an OR condition, and Web pages including at least one ABC are extracted. . In a widely used Web search engine, connecting a word with a space such as “A B” represents an AND condition, and ORing when a word is connected with a space like “(A B)” Although the condition is expressed, various modifications can be made to the expression method of the logical operation.

  That is, in the present embodiment, the description “search condition including user's biometric information” indicates that the user's biometric information is described as part of the search condition. In the above example, the user's biometric information may be described in a location corresponding to ABC. At that time, both information representing the item of biological information (for example, “pulse rate”) and an actual numerical value (or a numerical range as will be described later) may be set as the description target. In other parts of the present embodiment, the description “search conditions including...” Or “include... In the search conditions” can be found, but the meaning of the description is also the same. That is, it corresponds to describing specific information as a search unit when describing a search condition from a plurality of search units (words in a narrow sense) and a logical operation linking each search unit. That is, the search condition creation unit 120 can be rephrased as a process of describing (adding) the acquired user biometric information in the search condition based on the subjective symptom information and the medical knowledge database. .

  As described above, various kinds of information can be acquired as the biological information of the user. Since biometric information is information that reflects the user's state at that time, it is possible to search for information (electronic medical records and fighting disease blogs) of other users who are close to the user by including the biometric information in the search conditions. . In this way, the information included in the search result information is likely to be information related to the user, and can be said to be useful for the user to determine his / her own state.

  At this time, when the information acquisition unit 110 acquires numerical data as the user's biometric information, the search condition creation unit 120 acquires the acquired biometric information of the user based on the subjective symptom information and the medical knowledge database. A search condition including a given numerical range corresponding to the numerical data may be created.

  For example, consider a case where the pulse rate is high and a value of 120 is detected even though the patient is in a resting state. In this case, even if a search condition of “pulse rate * 120” (* here represents an AND condition; the same applies to equation (1) and the like below) is created, an effective search process cannot be performed. Because, under the above conditions, even if information that the pulse rate is 121 is described in the electronic medical record database ECDB, which is an information source, or a web page, 120 ≠ 121, the information is included in the search result. It will not be included. If the pulse rate at rest is 121, there is a possibility that the information is information on a user in a state similar to the target user.

  Here, we want to search for information that is similar to the state of "the pulse rate is very high even at rest", and the numerical data itself of 120, which merely represents a very narrow example. The need to use is low. Therefore, in this embodiment, a numerical range such as “pulse rate * (100-140)” is used as a search condition. In this way, information with a pulse rate of 100 or more and 140 or less is a search target. Therefore, even if the numerical data does not completely match, information in a close state is included in the search result, and a practical search process can be realized.

  As described above, it is assumed that the information acquisition unit 110 acquires a plurality of pieces of biological information as the biological information of the user. In that case, the search condition creating unit 120 may perform a process of selecting biometric information to be included in the search condition from a plurality of acquired biometric information based on the subjective symptom information and the medical knowledge database.

  Even if a plurality of pieces of information are acquired as biometric information, abnormal values do not appear in all of them when a user becomes ill. For example, if a user suffers from a disease in which the pulse rate and blood pressure increase, but other biological information does not change from the normal range, the user's biological information other than the pulse rate and blood pressure may be included in the search conditions. Since they are the same as healthy people, there is a low possibility that information on the disease will be hit, and it is difficult to provide useful information for users. That is, even if various types of biological information can be acquired from the user, it is possible to make the search result useful by narrowing down appropriate information instead of using all of them as search conditions. Note that the biological information selected by the selection process is not limited to only information indicating an abnormal value. For example, if the disease is characterized by a combination in which the first biological information is an abnormal value but the second biological information is in the normal range, the second biological information in the normal range may be included in the search condition. desirable. That is, the viewpoint of which biological information is included in the search condition may be normal or abnormal, but is not limited thereto, and may be determined in consideration of the characteristics of individual diseases.

  There are various methods for selecting biometric information to be included in the search condition using the medical knowledge database MDB and subjective symptom information. In the present embodiment, the search condition creation unit 120 performs a comparison process between the subjective symptom information and the symptom information included in the medical knowledge database MDB, and any of the illnesses included in the medical knowledge database is determined. It may be specified whether it relates to the user.

  A specific processing flow will be described with reference to FIG. First, as described above, morphological analysis processing is performed on subjective symptom information. In FIG. 6, it is assumed that n elements (words) have been acquired as a result of the morphological analysis process, and the elements are indicated by 1, 2, 3,..., N on the left side of the figure.

  Next, it is checked whether the elements 1, 2, 3,..., N match (similar) the data structure of each disease symptom in the medical knowledge database MDB. As shown in FIG. 6, the same elements 1, 2, 3,..., N are counted as how many if there is α disease, how many if there is β disease, and the number of matches is related to the user. What is necessary is just to specify that it is a disease candidate. In the example of FIG. 6, in the α disease, A1 matches element 1, A2 matches element 2, A3 matches element 3, and An matches element n. In β disease, B1 matches element 1 and B2 matches element 2, but the other elements do not match. Note that “match” here is not limited to perfect match, and scoring according to similarity may be performed. For example, when the element acquired from the subjective symptom information and the data included in the medical knowledge database MDB are completely coincident with each other, the numerical value is 1.0 to 1.0 depending on the similarity. May be used. The similarity here is obtained by using, for example, a synonym dictionary or the like.

  In addition, a disease candidate may be specified based on a simple count of matches or a simple count of scores, but is not limited thereto. For example, the weight of a specific part or a specific symptom may be increased. For example, if a headache is a typical symptom seen in many patients for a given disease, the weight corresponding to the site = head, symptom = pain is increased compared to other sites and symptoms, and counting is performed. May be. Or, if abnormalities appear in the head and the specific symptoms are diverse, it is possible to increase the weight of “part = head” and there is a lot of pain, but the part may vary depending on the patient. For example, the weight of “symptom = pain” may be increased, and various modifications can be made.

  Then, the disease having the highest score is identified, and the corresponding biometric information of the identified disease is associated with the user's biometric information. In FIG. 6, since the biometric information corresponding to the α disease is C1 to Cn, it is determined whether or not the biometric information of the user corresponding to the α disease is acquired. In the example of FIG. 6, since biometric information of the corresponding user has been acquired for C1, C2, and Cn, the biometric information of the user is associated (for example, the value of the biometric information of the user is stored). On the other hand, since the biometric information of the corresponding user has not been acquired for C3, no association is performed. Also, not all of the user's biometric information is used for association, and biometric information that does not correspond to C1 to Cn is not used.

  FIG. 7 illustrates the flow of FIG. 6 using specific diseases. As shown in FIG. 5 (B), for diabetes, “feet”, “swelling”, “blood pressure”, “throat”, “kawaki”, “body temperature”, “chest” "Palpit" and "Pulse" are related. In addition, for kidney disease, the part, symptom, and corresponding biometric information that feels abnormal include “foot”, “swelling”, “blood pressure”, “NULL (particularly, no particular limitation)”, “hematuria”, and “urine test result”. Two are related.

  Then, it is assumed that six elements “foot”, “swelling”, “throat”, “kawaki”, “chest”, and “palpitations” are acquired from the subjective symptom information input by the user. In this case, when the subjective symptom information is compared with the information on the symptom information (part and symptom) associated with diabetes, the six match. On the other hand, when comparing subjective symptom information and symptom information (parts and symptoms) associated with kidney disease, “foot” and “swell” match, but the others do not match. In this case, since the number of matches is 6 for diabetes and 2 for kidney disease, if the similarity and weighting described above are not used, diabetes is identified as a candidate for a disease related to the user. It will be.

  When the disease is specified, the search condition creating unit 120 performs a process of including the user's biometric information corresponding to the corresponding biometric information associated with the specified disease in the search condition.

In the above-described example of diabetes, since three corresponding blood pressure information, “body temperature”, and “pulse” can be specified as the corresponding biological information, the above three of the user's biological information may be selected and included in the search condition. At this time, as described above, it is desirable that the value of the user's biological information (the value obtained by the above preprocessing in a narrow sense) is not used as it is, but a certain numerical range. For example, if the blood pressure value acquired from the biological information is 110, the pulse rate is 65, and the body temperature is 36.0 (° C.), a search expression including the following expression (1) may be created. Note that * represents an AND condition as described above, and + represents an OR condition. The numerical range is not limited to the following formula (1), and various modifications can be made.
Blood pressure * (90-140) + pulse rate * (60-73) + body temperature * (35.5-36.5)
(1)

  In this way, since it is possible to select biometric information associated with a disease that is highly likely to be affected by the user from the biometric information of the user, it is possible to easily obtain useful search results. In the example of FIG. 7, the electrocardiogram and the uric acid value can also be acquired, but these can be excluded from the search conditions. In addition, since diabetes causes various complications, many patients have abnormalities in electrocardiogram and uric acid level. The above description does not mean that no electrocardiogram or uric acid value is required in the search process related to diabetes. In some cases, the electrocardiogram or uric acid value is included in the search condition when targeting a diabetic patient. May be. For example, in the present embodiment, when specifying a disease, a plurality of diseases may be specified instead of one. Thus, depending on the user, diabetes and arteriosclerosis are identified, or diabetes and hyperuricemia are identified. In the former case, an electrocardiogram should be associated as the biometric information corresponding to arteriosclerosis. In that case, the electrocardiogram is also included in the search condition. Similarly, in the latter case, the uric acid value should be associated as the corresponding bioinformation of hyperuricemia, and in that case, the uric acid value is also included in the search condition.

  Moreover, although the method of including a user's biometric information in search conditions was demonstrated above, search conditions are not limited to this. Specifically, the search condition creating unit 120 may perform a process of including symptom information associated with the identified disease in the search condition.

  By using a user's subjective symptom as a search keyword, there is a possibility that information on a person suffering from a similar symptom may be acquired, and this information is useful for dealing with the user's own symptom. However, as described in the conventional method, there are many problems if subjective symptoms are directly used as search keywords. In that respect, if the technique of the present embodiment is used, a medical knowledge database MDB is used to specify a disease, and symptom information to be included in a search condition is determined from the specified result, so that an appropriate search process is possible.

  In the example of FIG. 7, since diabetes can be identified as a disease, symptom information (parts and symptoms) associated with diabetes in the medical knowledge database MDB, that is, “foot”, “swelling”, “throat”, “kawaki”, “ Six elements such as “chest” and “palpitations” may be included in the search condition. In this case, all of the subjective symptom information input as a result is included in the search condition. This is because there is no particular problem because the subjective symptom happened to be unique to diabetes. For example, when the user inputs information such as “head” and “pain” in addition to the above six elements as subjective symptom information, if the specified disease is diabetes, the two elements are excluded from the search condition. Is done. This is because “head” and “pain” are not characteristic in diabetes, and by using the method of this embodiment, subjective symptoms of such low importance can be excluded from the search conditions.

  Note that all the medical condition information associated with the specified disease may be included in the search condition, but other variations are possible. For example, information that does not correspond to the subjective symptom information input by the user may be excluded from the medical condition information associated with the specified disease. For example, if the user has entered 4 "foot", "swelling", "throat", and "kawaki" but not "chest" or "palpitations", the search conditions are 2 "chest" and "palpitations" May be excluded.

  Alternatively, the search condition creating unit 120 includes, in the search condition, a plurality of pieces of symptom information associated with the identified disease based on the corresponding biological information associated with the identified disease and the user's biological information. Symptom information selection processing may be performed.

  In the case of the example in FIG. 7, a case is considered in which blood pressure and pulse are input as the user's biological information, but body temperature is not input. In this case, since there is no information on the user's body temperature, it is not known whether the body temperature is higher than the normal value. For this reason, the body temperature of the target user is a normal value, and the possibility that the user does not feel the “throat” of “throat” cannot be denied. In that case, by adding “throat” and “kawaki” to the search condition, there is a possibility that a search result that does not match the user's state may be acquired. Therefore, as an example, when an item that matches the corresponding biometric information is not acquired as the biometric information of the user, the symptom information corresponding to the corresponding biometric information may be excluded from the search condition.

  Alternatively, even if an item that matches the corresponding biological information is acquired as the user's biological information, if the user's biological information is in the normal range, the symptom information corresponding to the corresponding biological information is searched for Embodiments such as excluding from the above are also possible. For example, if you feel “swelling” of your “foot” due to diabetes, it is assumed that your blood pressure will increase. On the other hand, if the blood pressure value, which is the user's biological information, is in the normal range, the user may not have “swelling” of the “foot”. That is, it may be determined whether or not the symptom information is included in the search condition after using a specific numerical range of the user's biological information. In this case, the medical knowledge database MDB does not hold only the item name as the corresponding biometric information, but may also hold information such as a normal range and an abnormal range.

An example of the search condition obtained by the above processing is shown in the following formula (2). In the following formula (2), the disease α shown in FIG. 8 is specified. In the medical knowledge database MDB, “a” is used as the disease name of α, b1, b2,. , C2,..., D1, d2,... Are associated as corresponding biometric information, and v1, v2 are acquired as user biometric information corresponding to d1, d2,. Yes. Further, v1 and v2 may be given numerical ranges as described above.
Search formula = a * (b1 * c1 + b2 * c2 + ...) + (v1 + v2 + ...) (2)

However, the search condition (search formula) is not limited to this, and various modifications can be made. For example, the following formula (3) or the following formula (4) may be used. Moreover, since it is only necessary to include biological information and symptom information selected by the above-described method, a search expression other than (2) to (4) may be used.
Search formula = a * (b1 * c1 * v1 + b2 * c2 * v2 + ...) (3)
Search formula = a * (b1 + b2 ...) + a * (c1 + c2 ...) + (v1 + v2 + ...)
(4)

  As can be seen from the above formulas (2) to (4), in this embodiment, biometric information, that is, user raw data is included in the search condition. If there is a person who is actually being treated, data such as the blood pressure of that person is often written in the diary. In addition, medical institutions also disclose appropriate blood pressure ranges and guidelines for dangerous values. Therefore, by narrowing down the search with your own biometric information, you can know the status of people who are close to your symptoms. For example, the same number of people with the same symptoms can obtain very helpful information such as what drugs are prescribed and whether they are actually effective. Based on this, it is possible to propose additional prescriptions to the doctor.

  On the other hand, sufficient information cannot be searched with only biological information. This is because it is thought that it is difficult to determine which is appropriate information because only a lot of possible diseases can be found by using only biological information. If you know the name of the disease, search by the name of the disease (for example, diabetes), or if you don't know the name of the disease, search for possible illnesses, such as subjective symptoms and concerns, and then narrow down by biometric information Through this procedure, it is easy to find symptoms that suit you. FIG. 9 shows this concept.

  In this embodiment, instead of searching only with the elements 1, 2, 3,..., N extracted from the subjective symptom information, the medical knowledge database MDB is used to estimate the disease that is most likely to be suitable for the user's condition. Because the search is performed on medical items related to symptoms that may appear in the estimated disease, the usefulness of the information found is high.

5. In the above, an example in which the information acquired by the information acquisition unit 110 is the user's biological information and subjective symptom information, and the information included in the medical knowledge database MDB is symptom information and corresponding biological information has been described. However, the information to be acquired and the configuration of the medical knowledge database MDB are not limited to those described above, and other modifications can be made.

  For example, if the user has some idea of his / her illness, or if the name of the illness has been confirmed after diagnosis by a doctor and treatment has already started, the user will be given more detailed information than the above example, i.e. You will want to know the specific means of curing your illness or alleviating your symptoms. More specifically, what drugs are being administered to people with the same illness, how much is being administered, what effect was given by the drugs being administered, or drugs being administered Therefore, it is considered that there is a strong demand for information on what kind of side effect occurs and how much the side effect is.

  Considering this, the information processing system 100 according to the present embodiment is based on the information acquisition unit 110 that acquires the user's biological information and medication information, the acquired biological information and medication information, and the medical knowledge database. A search condition creation unit 120 for creating a search condition used for a search process for information related to the user's health, and a search processing unit 130 for executing the search process and acquiring search result information based on the created search condition. It may be included.

  The configuration of the information processing system 100 is the same as in FIG. 1, but the information acquired by the information acquisition unit 110 is the user's biometric information and medication information, and the search condition creation processing in the search condition creation unit 120 is also administered. Information is used. The medication information here is information on a drug administered (taken) by the user. It is conceivable that the user manually inputs medication information with the terminal device 300 or the like with reference to a prescription or a medicine notebook. However, in recent years, cases where prescriptions and the like are managed as electronic data are increasing, and in this case, the information acquisition unit 110 may acquire the electronic data.

  In addition, medication information is not limited to information on medications actually administered to users, but information on medications that have not been administered yet, such as medications that the user wants to administer or drugs that are scheduled to be administered. May be included. In that case, it is not precluded to treat the drug already administered and the drug not administered equally, but information indicating whether or not the drug has been administered is included in the medication information, and the drug already administered and not You may treat medicine separately. This is because the drug actually administered is considered to be more important.

  As shown in FIG. 10, the medical knowledge database MDB in this case may be a database in which drug information and side effect symptom information representing side effects corresponding to the drug information are associated with each other. FIG. 10 is a data structure representing one of a plurality of diseases included in the medical knowledge database MDB, as in FIG. 5B. The medical knowledge database MDB corresponds to the number of diseases in the structure of FIG. This database contains as many as you want.

  In the example of FIG. 10, the drug information is a drug name (component name), and the side effect symptom information is a site where a side effect appears and a symptom at the site. However, the medicine information may include a product name or the like. Further, the side effect symptom information may be described in other formats. In FIG. 10, the medical knowledge database MDB also includes side effect compatible biometric information that is biometric information corresponding to the side effect symptom information. In the example of FIG. 10, the side effect of “throat” of “throat” can be detected by analyzing body temperature, “nausea” of “stomach” can be detected by body temperature and pulse, and “sleepiness” can be analyzed by analyzing breathing. This indicates that it can be detected. The relationship between the side effect symptom information and the side effect corresponding biometric information is the same as the relationship between the symptom information and the corresponding biometric information shown in FIGS. 5 (A) and 5 (B).

  Then, the search condition creating unit 120 creates a search condition based on the medication information and the medicine information in the medical knowledge database. Specifically, the search condition creation unit 120 performs preprocessing as necessary when medication information is acquired. For example, fluctuations in expressions such as product names and drug names may be arranged.

  Then, a comparison process between the medication information and the medication information in the medical knowledge database MDB is performed. At that time, similarly to the example described above with reference to FIGS. 6 and 7, processing for specifying a disease related to the user from a plurality of diseases may be performed. As an example, the degree of coincidence between medication information and medication information is counted to identify the disease with the highest score. However, in the case where the medical knowledge database MDB as shown in FIG. 10 is used, the user often has already identified the disease he / she is interested in (i.e. suffers from). That is, the information acquisition unit 110 may acquire disease information. Here, the disease information is information for specifying a disease, for example, information input by a user. In this case, since the disease can be identified by the disease information, the comparison process between the medication information and the drug information in the medical knowledge database MDB may be performed for the identified disease.

  The search condition creating unit 120 creates a search condition including at least information corresponding to the medication information among the medication information associated with the identified disease. For example, when “drug A” is input as the medication information and the disease A is specified as the disease, at least the drug A among the drugs A to N associated with the disease A is included in the search condition.

  In this way, to other patients who have the same illness (or illness that has been determined to be the same) as the user, and who have been administered (or possibly administered) to the user Relevant information can be acquired. This makes it possible to appropriately present information that the user may be interested in, such as drug effects and side effects.

  At that time, side effect symptom information associated with the medicine A may be included in the search condition. In the example of FIG. 10, “throat” and “kawaki”. In this way, it is possible to find information in which specific side effect details are described by search processing.

  In addition, other medicines that are associated with the specified disease and do not match the medication information may be included in the search condition. In the above example, medicines B to N do not correspond to the user's medication information. However, since medicine B to medicine N can be administered to patients suffering from disease A, information indicating the prescription result of the medicine may be useful to the user. Therefore, although it is less important than the medicine A corresponding to the medication information, it is not hindered to include medicines B to N in the search conditions.

  Moreover, the biometric information corresponding to the side effect associated with the drug information may be specified, and the biometric information of the user corresponding to the biometric information corresponding to the side effect may be included in the search condition. In the case of the example in FIG. 10, the patient who feels irritated by the side effect of medicine A has an increase in body temperature. That is, the body temperature information included in the electronic medical record or the illness diary of a patient who has been prescribed the medicine A for the disease A can be used as information indicating the degree of side effects caused by the medicine A. Therefore, a more effective search can be executed by including the user's body temperature in the search condition. For example, by including a given body temperature range including the user's own body temperature (body temperature change) in the search condition, it is possible to acquire information that has the same side effect as that of the drug A. For this reason, it is possible to acquire information that is highly useful to the user, such as how to deal with side effects at the present time. Alternatively, it is also possible to search for a countermeasure or the like when the user's side effects worsen by including a given body temperature range higher than the user's own body temperature (body temperature change) in the search condition.

  Moreover, although the example which does not use subjective symptom information was demonstrated in the above modification, it is not limited to this, You may use subjective symptom information and medication information together. Specifically, the information acquisition unit acquires the user's biological information and subjective symptom information, and the user's medication information. In addition, the medical knowledge database is a database in which symptom information indicating symptoms related to illnesses and corresponding biometric information that is biometric information corresponding to the symptoms are associated with each of a plurality of illnesses, and drug information And a side effect symptom information representing a side effect corresponding to the drug information.

  An example of the data structure of the medical knowledge database MDB in this case is shown in FIG. FIG. 11 is a data structure representing one disease among a plurality of diseases included in the medical knowledge database MDB as in FIG. 5A, and the medical knowledge database MDB corresponds to the number of diseases in the structure of FIG. This database contains as many as you want.

  Similar to FIG. 5A, the symptom information and the corresponding biological information are associated with the disease. In FIG. 11, drug information that is a drug that cures (or alleviates) the symptoms represented by the symptom information is further associated with the symptom information. Similarly to FIG. 10, the drug information is associated with side effect symptom information representing side effects of the drug and biological information corresponding to side effects.

  In the example of FIG. 11, in disease A, the symptom A appears in the site A, which can be detected by looking at the biological information A, and the symptom A in the site A can be handled using the medicine A. Yes. FIG. 11 also shows that the use of medicine A may cause a side effect called symptom A ′ at site A ′, and the side effect can be detected by looking at biometric information A ′.

  The search condition creating unit 120 creates a search condition based on the medication information and the medicine information in the medical knowledge database. For example, the disease related to the user is identified by the same procedure as the method described above with reference to FIGS. 6 and 7, and then the drug information related to the identified disease is determined as in the method described above with reference to FIG. The search condition may be created by performing a comparison process between the drug and the medication information. Since each specific procedure is as described above, further description is omitted.

  In this way, more detailed search processing can be performed as compared with the case where the medical knowledge database MDB of FIG. 5A or FIG. 10 is used. In addition, the search condition creation process can be variously modified. For example, not only the symptom information of the medical knowledge database MDB but also the side effect symptom information may be targeted as a comparison target between the site included in the subjective symptom information and the symptom. For example, when there is a subjective symptom that “throat” is “drinking”, it is difficult for a general user to distinguish whether it is due to diabetes or because medicine A is administered for other diseases. Therefore, more appropriate processing can be performed by considering both possibilities in search condition creation processing and search processing. For example, when identifying a disease from subjective symptom information, the score is increased both when it matches the symptom information of the medical knowledge database MDB and when it matches the side effect symptom information. At that time, if there is a difference in the score between the case that matches the symptom information and the case that matches the side effect symptom information, or if the drug information and medication information do not match, the score is given even if the subjective symptom information matches the side effect symptom information Various modifications are possible, such as no.

6). Details of Processing The processing flow of the present embodiment described above will be described with reference to the sequence diagram of FIG. In FIG. 12, the information processing system 100 of the present embodiment is realized by the server system 200, the biological information is directly transmitted from the biological information detecting device 400 to the server system 200, and subjective symptom information is input and search result information is displayed. Although the example performed by the terminal device 300 is shown, various modifications can be made as described above.

  When this process is started, the biological information detection apparatus 400 first performs a biological information detection process (S101), and transmits the detected biological information to the server system 200 (S102). The server system 200 receives the transmitted biological information (S103) and stores it in a storage unit (not shown) in FIG.

  Further, the terminal device 300 transmits subjective symptom information to the server system 200 based on the user's operation (S104), and the server system 200 receives the transmitted subjective symptom information (S105), as shown in FIG. Is stored in a storage unit (not shown).

  Note that the processing of S101 to S105 is not limited to the order and number of times shown in FIG. 12, and various modifications can be made. For example, in the biological information detection apparatus 400 shown in FIGS. 3A to 4, the biological information detection process (S101) is executed once every 4 seconds. The biometric information transmission process (S102) may be performed each time S101 is executed, or may be performed after a certain amount of biometric information is accumulated. The transmission of the subjective symptom information (S103) can be executed at an arbitrary timing desired by the user. That is, it is only necessary to acquire biological information and subjective symptom information to the extent that the subsequent processing can be performed by S106, and the timing and number of times are not limited to those in FIG.

  When the biometric information and the subjective symptom information are acquired by the server system 200, a search result request process is performed from the terminal device 300 based on a user operation (S106). The server system 200 receives the request (S107), and creates a search condition using the biological information received in S103, the subjective symptom information received in S105, and the medical knowledge database MDB (S108).

  Then, using the created search condition, search processing is performed for the Web network WE and the electronic medical record database ECDB, and search result information is acquired (S109). Then, the search result information is transmitted to the terminal device 300 that is the transmission source of the request received in S107 (S110). The terminal device 300 receives the search result information (S111), and displays the received search result information (S112).

  Although the present embodiment has been described in detail as described above, it will be easily understood by those skilled in the art that many modifications can be made without departing from the novel matters and effects of the present invention. Accordingly, all such modifications are intended to be included in the scope of the present invention. For example, a term described at least once together with a different term having a broader meaning or the same meaning in the specification or the drawings can be replaced with the different term in any part of the specification or the drawings. Further, the configuration and operation of the information processing system are not limited to those described in the present embodiment, and various modifications can be made.

10 band part, 12 band hole, 14 buckle part, 15 band insertion part,
16 Projection part, 30 Case part, 32 Light emission window part, 40 Sensor part,
100 information processing system, 110 information acquisition unit, 120 search condition creation unit,
130 search processing unit, 200 server system, 300 terminal device,
400 biological information detection device, ECDB electronic medical record database,
MDB medical knowledge database, NE network, WE web network

Claims (16)

An information acquisition unit for acquiring user biometric information and subjective symptom information;
A search condition creating unit that creates a search condition used for a search process of information related to the user's health based on the acquired biological information and the subjective symptom information, and a medical knowledge database;
Based on the created search condition, a search processing unit that executes the search process and acquires search result information;
An information processing system comprising: In claim 1,
The search condition creation unit
An information processing system that creates the search condition including the acquired biological information of the user based on the subjective symptom information and the medical knowledge database. In claim 2,
When the information acquisition unit acquires numerical data as the biometric information of the user,
The search condition creation unit
Based on the subjective symptom information and the medical knowledge database, the search condition including a given numerical range corresponding to the numerical data of the acquired biological information of the user is created. Processing system. In claim 2 or 3,
The information acquisition unit
A plurality of the biological information is acquired as the biological information of the user,
The search condition creation unit
An information processing system which performs selection processing of the biological information included in the search condition from the plurality of acquired biological information based on the subjective symptom information and the medical knowledge database. In any one of Claims 1 thru | or 4,
The medical knowledge database is
An information processing system, which is a database in which symptom information representing symptoms related to a plurality of illnesses is associated with corresponding biometric information that is biometric information corresponding to the symptoms. In claim 5,
The search condition creation unit
Comparing the subjective symptom information with the symptom information included in the medical knowledge database to determine which of the illnesses included in the medical knowledge database is related to the user An information processing system characterized by specifying. In claim 6,
The search condition creation unit
An information processing system that performs processing for including the biometric information of the user corresponding to the corresponding biometric information associated with the identified disease in the search condition. In claim 6 or 7,
The search condition creation unit
An information processing system that performs a process of including the symptom information associated with the identified disease in the search condition. In claim 8,
The search condition creation unit
The symptom to be included in the search condition from a plurality of the symptom information associated with the identified disease based on the corresponding biological information associated with the identified disease and the biological information of the user An information processing system for performing information selection processing. In any one of Claims 5 thru | or 9,
The medical knowledge database is a database in which drug information is associated with side effect symptom information representing side effects corresponding to the drug information,
The information acquisition unit
Obtain medication information for the user,
The search condition creation unit
An information processing system that creates the search condition based on the medication information and the medicine information in the medical knowledge database. In any one of Claims 1 thru | or 10.
The search condition creation unit
The information processing system is characterized in that the search condition for narrowing down the information acquired by the subjective symptom information by the biometric information of the user is created. In any one of Claims 1 thru | or 11,
The information processing system according to claim 1, wherein the biological information of the user is at least one of information acquired by a biological information detection device and health check result information representing a result of the user's health check. In any one of Claims 1 to 12,
The subjective symptom information is at least one of information on a part where the user feels abnormal and information indicating a symptom appearing on the part where the user feels abnormal, and is information input by the user. An information processing system characterized by being. An information acquisition unit for acquiring user biometric information and medication information;
A search condition creating unit for creating a search condition used for a search process of information related to the user's health, based on the acquired biological information and the medication information, and a medical knowledge database;
Based on the created search condition, a search processing unit that executes the search process and acquires search result information;
An information processing system comprising: In claim 14,
The medical knowledge database is a database in which drug information is associated with side effect symptom information representing side effects corresponding to the drug information,
The search condition creation unit
An information processing system that creates the search condition based on the medication information and the medicine information in the medical knowledge database. A transmission processing unit that performs a request process of a search process for information related to the user's health according to a search condition created based on the user's biological information and subjective symptom information and a medical knowledge database;
A reception processing unit for acquiring search result information based on the created search condition;
As a display processing unit that performs display processing of the acquired search result information,
A program characterized by operating a computer.

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