JP2015170040A - information processing apparatus, information processing method and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To present proper data in accordance with the life pattern of a patient to the patient.SOLUTION: An information processing apparatus comprises: acquisition means which acquires life information on the life of an object patient; search means which searches for a registered patient associated with life information relevant to the acquired life information from storage means for storing registered patients, life information on the lives of the registered patients and treatment information of the registered patients in association with each other; and display control means which makes display means display the treatment information associated with the searched registered patient.

Description

  The present invention relates to an information processing apparatus, an information processing method, and a program.

  Traditionally, doctors present data to patients in order to provide informed consent that can be reassured and convinced by the patient. At this time, refer to an electronic medical record indicating the situation of another patient similar to the target patient. There is a case. As described above, techniques and systems for performing searches based on patient cases and the like are known. For example, Patent Literature 1 discloses a technique for extracting a clinical path similar to medical information (diagnosis name, operation name, sex, race, medical history, drug history, etc.) up to a certain point in time for a patient. Patent Document 2 discloses a technique for searching for a patient in which at least one of imaging part information of medical images, examination type information, information subject age, and gender matches.

JP 2003-331055 A JP 2008-59088 A

  However, in the prior art, there is a problem that a patient who is a reference for an informed consent target patient is not always searched. For example, even if a patient is similar in age or sex, there is a possibility that it may not be a reference for the target patient if the life pattern is different, such as whether or not he / she is an athlete or smoking habit.

  The present invention has been made in view of such problems, and an object of the present invention is to present a patient with appropriate materials according to the patient's life pattern.

  Therefore, the present invention is an information processing apparatus, which associates acquisition means for acquiring life information related to the life of the target patient, life information related to the life of the registered patient and the registered patient, and treatment information of the registered patient. Search means for searching for a registered patient associated with the life information related to the acquired life information from the storage means for storing, and display control for displaying treatment information associated with the searched registered patient on the display means Means.

  ADVANTAGE OF THE INVENTION According to this invention, the appropriate data according to a patient's life pattern can be shown to a patient.

It is a figure which shows a patient search system. It is a figure which shows an example of a data structure of a patient table. It is a figure which shows an example of the format of life information. It is a figure which shows an example of an electronic medical record. It is a figure which shows the hardware constitutions of a client apparatus. It is a functional block diagram of a client apparatus. It is a flowchart which shows a process. It is a flowchart which shows the process which concerns on 2nd Embodiment. It is a flowchart which shows the process which concerns on 3rd Embodiment. It is a flowchart which shows the process which concerns on 4th Embodiment.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

(First embodiment)
FIG. 1 is a diagram illustrating a patient search system according to the first embodiment. The patient search system includes a server device 101 and client devices 102 to 104 as information processing devices. The server apparatus 101 and the client apparatuses 102 to 104 are connected to each other via the network 105. Note that the number of client devices included in the patient search system is not limited to the embodiment. In the following, the client device 102 will be described, but the other client devices 103 and 104 are the same as the client device 102. The server apparatus 101 stores patient information of registered patients registered in advance, and inputs patient information and outputs search results according to a search query. The client device 102 registers patient information in the server device 101. The client device 102 also acquires patient information from the server device 101.

  FIG. 2 is a diagram illustrating an example of a data configuration of the patient table 201 stored in the server apparatus 101. The patient table 201 stores patient information in association with the registered patient ID. Here, the patient information includes personal information, examination information, and life information. The personal information is information such as a patient's name, blood type, and address. The examination information is information indicating examination and search results such as a disease name, blood pressure, and examination images. The life information is information related to the daily life of the patient. The life information also includes information related to daily life after the registration of the life information, that is, schedule, hope, desire, and the like. The life information is information different from the symptom, test result, and the like interviewed by the patient. The life information includes, for example, occupation, occupation type, athletic ability, presence / absence of family, driving, availability of hospital visits, and the like.

  The server device 101 only needs to manage personal information, examination information, and life information in association with each other, and a specific method for doing so is not limited to the embodiment. As another example, the server apparatus 101 may manage personal information, medical examination information, and life information in a format for each registered patient, a form recorded in an electronic medical record, and a memo. FIG. 3 is a diagram showing an example of a format 301 for living information. FIG. 4 is a diagram showing an example of an electronic medical record. The electronic medical record 401 in FIG. 4A is an electronic medical record of a registered patient with a patient ID “AAA”, and the electronic medical record 402 in FIG. 4B is an electronic medical record of a registered patient with a patient ID “BBB”. Thus, the server apparatus 101 may store an electronic medical record for each registered patient. The electronic medical record contains the patient's complaints, test results, and doctor's judgments and findings regarding the complaints. Life information is included in complaints and requests from patients. Furthermore, the electronic medical record includes information (schedule) and the like written in association with the month and day as life information.

  FIG. 5 is a diagram illustrating a hardware configuration of the client apparatus 102. The client device 102 includes a CPU 501, a memory 502, a storage device 503, an input device 504, an output device 505, and a communication device 506, which are mutually connected by a bus 507. The CPU 501 executes various functions to be described later by executing a program 508 stored in the storage device 503. The memory 502 temporarily stores programs and data read by the CPU 501 from the storage device 503. The memory 502 is also used as an area for the CPU 501 to execute various programs. The storage device 503 stores an operating system (OS), various programs, control programs, data, and the like. The data includes a program for searching for a patient, a program for generating a search query from patient information, a program for displaying patient data, and the like. The storage device 503 is configured by a mass storage device such as an SSD or an HDD. The control program 508 is stored as partial data in the storage device 503.

  The input device 504 mainly accepts input from the user. Specifically, the input device 504 accepts input of information about a target patient, search conditions, and the like. The output device 505 displays information input by the input device 504 and the execution result of the program executed by the CPU 501. The communication device 506 is a device for connecting to a network. When the storage location of patient information is the server device 101, the communication device 506 receives patient information or transmits information for acquiring patient information. If the patient information exists in the client device, the communication device 506 is not necessarily required. A bus 507 connects these devices and transfers data.

  Note that the functions and processing of the client device 102 described later are realized by the CPU 501 reading out a program stored in the storage device 503 and executing the program. Note that the hardware configuration of the server apparatus 101 is the same as the hardware configuration of the client apparatus 102 described with reference to FIG.

  FIG. 6 is a functional block diagram of the client apparatus 102. The client device 102 includes an information storage unit 601, an information management unit 602, a control unit 603, a reception unit 604, a display unit 605, and a transmission unit 606. The information storage unit 601 stores content information to be displayed, information that the user has operated the client device 102, and the like in accordance with a request from the information management unit 602 described later. Specifically, the information storage unit 601 is secured in the memory 502 and the storage device 503 when the CPU 501 executes the program 508. The information management unit 602 operates and manages the information storage unit 601 in accordance with a request from the control unit 603 described later. The control unit 603 controls the execution of various functions included in the program 508 according to information received by the receiving unit 604 described later. The receiving unit 604 receives information directly input from the user or information transmitted from the server apparatus 101 and notifies the control unit 603 of the information. The display unit 605 displays the execution results of various functions realized by the control unit 603 based on the information input by the receiving unit 604. The transmission unit 606 transmits information stored in the information storage unit 601 to the outside of the terminal via the control unit 603.

  FIG. 7 is a flowchart showing processing of the client apparatus 102. In step S <b> 701, the CPU 501 waits until a patient ID of an informed consent target patient (hereinafter referred to as a target patient) is set and input. When the patient ID of the target patient is set and input (Yes in S701), the CPU 501 advances the process to S702. In step S <b> 702, the CPU 501 acquires patient information stored in the CPU 501 in association with the patient ID in the patient table 201 illustrated in FIG. 2. Here, the process of S702 is an example of an acquisition process for acquiring life information. Next, in S703, the CPU 501 confirms the presence / absence of life information of the target patient. If there is life information (Yes in S703), the CPU 501 advances the process to S704. If there is no life information (No in S703), the CPU 501 advances the process to S705. In the case where life information of the target patient is stored in the patient table 201 illustrated in FIG. 2, the life information is included in the patient information of the target patient. In this case, the CPU 501 determines that life information exists.

  As another example, when the server apparatus 101 manages life information according to the format, the CPU 501 acquires this life information in S702. In step S <b> 703, the CPU 501 determines whether life information has been acquired. If life information is managed in free text format in the electronic medical record (FIG. 4) or the like, in S702, the CPU 501 acquires the electronic medical record or the like of the target patient as life information. In step S <b> 703, the CPU 501 extracts life information based on a keyword related to life information, and determines that the life information of the target patient exists when the extracted information exists. Here, it is assumed that keywords related to life information are stored in advance in the storage device 503 or the like. For example, in the electronic medical chart shown in FIG. 4, the CPU 501 extracts items in which complaints from patients and hopes are written. Specifically, the CPU 501 extracts items other than items related to the main complaint, findings, and inspection results. Further, the CPU 501 extracts a portion other than the current or past disease information in the “S (Subject)” portion of “SOAP” used as the chart format. In addition, as another form, there is also “ka, ki, ka, e” meaning interpretation, expectation, emotion, influence, and the CPU 501 includes “ki (expectation)” and “e (impact)”. The information described in is extracted. Then, the CPU 501 determines whether the extracted information includes a keyword related to family, occupation, business type, or the like, or a similar keyword.

  For example, in the electronic medical record 401 of FIG. 4A, the CPU 501 can extract information on the family and life from “family history” and “life history”. Furthermore, the CPU 501 can extract life information about the family from keywords such as “wife”, “daughter”, and “son”. Further, the CPU 501 can extract life information related to the company and the business type from the keywords “company employee” and “desk work”. Further, the CPU 501 can extract lifestyle information related to lifestyle habits from the keywords “drinking alcohol”, “smoking”, and “exercise”. In addition, since there may be information such as presence / absence / impossibility corresponding to the keyword in the vicinity of the keyword, the CPU 501 can extract life information by searching for the information. In the electronic medical record 402 of FIG. 4B, the CPU 501 can extract life information based on keywords related to “marathon athletes” and exercise habits. Further, the CPU 501 can determine from the tournament schedule that the date and schedule represent an important meaning for the patient's life. Furthermore, the CPU 501 can calculate the number of remaining days from the scheduled date and the processing date and time, and can also search for an example in which treatment is performed with the same number of days.

  In S704, the CPU 501 refers to the patient table 201, searches for a registered patient to be referred to by the target patient based on the life information of the target patient, and then advances the process to S706. Specifically, the CPU 501 calculates the similarity between the life information of the target patient and the life information of other registered patients stored in the patient table 201 (calculation process). Based on the calculated similarity, the CPU 501 searches the patient table 201 for a registered patient to be referred to according to the first search condition related to life information (search process). Specifically, the CPU 501 searches for registered patients whose similarity is equal to or greater than the similarity threshold. Here, the first search condition is to search for registered patients whose living information has a similarity to the life information of the target patient equal to or higher than the similarity threshold, and is set in advance in the storage device 503, for example. Shall. In addition, as the similarity threshold, an arbitrary value such as 70% or 100% is set in advance in the storage device 503 or the like.

  As another example, when the life information includes a plurality of items, the first search condition matches the item content of the item threshold value or more among the plurality of items of the life information of the target patient. It may be to search for registered patients of living information.

  In step S <b> 705, the CPU 501 refers to the patient table 201, searches for a registered patient to be referred to by the target patient based on the diagnosis information and personal information of the target patient, and then advances the processing to step S <b> 706. Specifically, the CPU 501 calculates the degree of similarity between the diagnosis information and personal information of the target patient and the diagnosis information and personal information of other registered patients stored in the patient table 201. Based on the calculated similarity, the CPU 501 searches the patient table 201 for a registered patient to be referred to according to the second search condition for the diagnosis information and the personal information. Here, the second search condition is to search for a registered patient of diagnosis information and personal information whose similarity with the diagnosis information and personal information of the target patient is equal to or greater than a similarity threshold, for example, the storage device 503 or the like. Is set in advance. Further, it is assumed that an arbitrary value is preset in the storage device 503 or the like as the similarity threshold. The similarity of the first search condition and the similarity of the second search condition may be the same value or different values.

  In step S706, the CPU 501 displays the search result on the output device 505 (display control process). Specifically, the CPU 501 displays the treatment information of the registered patient detected in S704 or S705. Here, the treatment information is information relating to treatment, such as a treatment method and treatment progress. It is assumed that the treatment information is stored in the server device 101 in association with the patient ID. Thus, the processing by the client device 102 ends.

  As described above, the client device 102 searches for a registered patient to be referred to based on the life information of the target patient. Therefore, the client device 102 can select appropriate materials according to the life pattern of the target patient and present it to the target patient. Thereby, a sense of security can be given to the target patient, and further, the target patient can be convinced about the treatment policy and the like. In addition, the time required for informed consent can be shortened.

  In addition, the life information according to the present embodiment includes information, hope, and desire after the time when the life information is stored. That is, the CPU 501 extracts such information. Having a schedule and hope for the future means that the priority in the living environment is high. Therefore, the CPU 501 can provide useful information to the target patient by presenting such a registered patient whose information matches (similar) to the target patient as a registered patient to be referred to. For example, it is assumed that the target patient is an athlete who is close to the game. In this case, the target patient or the like can estimate how much recovery can be expected in the same period by browsing the treatment information of the registered patient to be referred to. It is also assumed that the target patient wishes to go to the hospital. In this case, it can be estimated how long the target patient will heal.

  As a first modification of the patient search system of the first embodiment, when the CPU 501 of the client apparatus 102 determines in S703 that there is no life information (No in S703), the CPU 501 performs the process of S705. Instead, the process may proceed to S706. That is, when there is no life information, the client device 102 may present a search result indicating that there is no registered patient to be referred to. As a second modification of the patient search system of the second embodiment, the storage device 503 of the client device 102 may store patient information such as a patient table or an electronic medical record. In this case, the client device 102 may register patient information in the storage device 503, acquire patient information from the storage device 503, and the like.

(Second Embodiment)
Next, a patient search system according to the second embodiment will be described. Here, the difference between the patient search system according to the second embodiment and the patient search system according to the first embodiment will be described. FIG. 8 is a flowchart illustrating processing of the client apparatus 102 according to the second embodiment. If there is life information in S703 (Yes in S703), the CPU 501 advances the process to S801. In step S <b> 801, the CPU 501 searches for a registered patient to be referred to by the target patient based on diagnosis information and personal information in addition to life information, and then advances the processing to step S <b> 706. Specifically, the CPU 501 calculates the similarity between each of the target patient's life information, medical examination information, and personal information and the life information, medical examination information, and personal information of other registered patients stored in the patient table 201. . Then, based on the calculated similarity, the CPU 501 searches for a registered patient to be referred to according to a search condition of searching for a registered patient whose similarity between life information, medical examination information, and personal information is equal to or greater than a similarity threshold. . The remaining configuration and processing of the patient search system according to the second embodiment are the same as the configuration and processing of the patient search system according to the first embodiment.

(Third embodiment)
FIG. 9 is a flowchart illustrating processing of the client apparatus 102 according to the third embodiment. After the process of S704, the CPU 501 advances the process to S901. In step S <b> 901, the CPU 501 confirms whether a registered patient that should be referred to by the target patient is detected. When the registered patient is detected (Yes in S901), the CPU 501 advances the process to S706. On the other hand, if the registered patient is not detected (No in S901), the CPU 501 advances the process to S902. In step S902, the CPU 501 searches for a registered patient to be referred to by the target patient based on the life information, examination information, and personal information of the registered patient, and then advances the process to step S706. Note that the processing in S902 is the same as the processing in S801 (FIG. 8). As described above, the patient search system can perform a step-by-step search by changing the search condition according to the similarity of life information. The remaining configuration and processing of the patient search system according to the third embodiment are the same as the configuration and processing of the patient search system according to other embodiments.

(Fourth embodiment)
FIG. 10 is a flowchart illustrating processing of the client apparatus 102 according to the fourth embodiment. If there is life information of the target patient in S703 (Yes in S703), the CPU 501 advances the process to S1001. In S1001, the CPU 501 specifies important elements from the life information of the target patient (specific processing). Specifically, when life information includes information related to the future, the CPU 501 identifies the date closest to the processing time as an important factor. The CPU 501 may also identify an important element based on the order of appearance and the number of keywords that are elements of life information from information recorded by hearing with a patient. In step S <b> 1002, the CPU 501 calculates the similarity of life information after increasing the specific gravity of important elements. Based on the calculated similarity, the CPU 501 searches for a registered patient to be referred to according to the first search condition, and then advances the process to step S706.

  As described above, the client device 102 according to the fourth embodiment can search for registered patients whose important elements are similar in the life information, and thus can present useful information to the target patient. The remaining configuration and processing of the patient search system according to the third embodiment are the same as the configuration and processing of the patient search system according to other embodiments.

  As a first modification of the patient search system according to the third embodiment, the processes of S1001 and S1002 may be executed instead of S902 of FIG. Thereby, the client apparatus 102 can search for registered patients whose important elements are identical in the life information when the life information does not match.

<Other embodiments>
Although the embodiment has been described in detail above, the present invention can take an embodiment as a system, apparatus, method, program, recording medium (storage medium), or the like. Specifically, the present invention may be applied to a system composed of a plurality of devices (for example, a host computer, an interface device, an imaging device, a Web application, etc.), or may be applied to a device composed of one device. good. Needless to say, the object of the present invention can be achieved as follows. That is, a recording medium (or storage medium) that records a program code (computer program) of software that implements the functions of the above-described embodiments is supplied to the system or apparatus. Needless to say, such a storage medium is a computer-readable storage medium. Then, the computer (or CPU or MPU) of the system or apparatus reads and executes the program code stored in the recording medium. In this case, the program code itself read from the recording medium realizes the functions of the above-described embodiment, and the recording medium on which the program code is recorded constitutes the present invention.

  As described above, according to each of the above-described embodiments, it is possible to present an appropriate document according to the patient's life pattern to the patient.

  The preferred embodiments of the present invention have been described in detail above, but the present invention is not limited to such specific embodiments, and various modifications can be made within the scope of the gist of the present invention described in the claims.・ Change is possible.

101 server device, 102 client device, 501 CPU, 502 memory, 503 storage device

Claims (19)

Acquisition means for acquiring life information related to the life of the target patient;
Retrieval for searching for a registered patient associated with life information related to the acquired life information from storage means for storing and storing life information related to the life of the registered patient and the registered patient and treatment information of the registered patient Means,
An information processing apparatus comprising: display control means for displaying treatment information associated with the searched registered patient on a display means.   The information processing apparatus according to claim 1, wherein the search unit searches for the registered patient that satisfies a first search condition related to the life information of the target patient and the life information of the registered patient. . A calculation means for calculating a similarity between the life information of the target patient and the life information of the registered patient;
The information processing apparatus according to claim 2, wherein the search unit searches for the registered patients whose similarity is equal to or greater than a threshold set as the first search condition. The storage means stores the examination information and personal information of the registered patient in association with the registered patient,
The search means, when the registered patient that satisfies the first search condition is not detected, the life information of the target patient, the examination information and the personal information, the life information of the registered patient, The information processing apparatus according to claim 2 or 3, wherein the registered patient is searched based on medical examination information and the personal information.   The search means, when the registered patient that satisfies the first search condition is not detected, the life information of the target patient, the examination information and the personal information, the life information of the registered patient, The information processing apparatus according to claim 4, wherein the registered patient that satisfies a second search condition that satisfies the examination information and the personal information is searched. Further comprising a specifying means for specifying an important element from the life information of the target patient;
The information processing apparatus according to claim 1, wherein the search unit searches the registered patient based on the important factor. When the registered patient that satisfies the first search condition is not detected, the registration patient further includes a specifying unit that specifies an important element from the life information of the target patient,
3. The information processing according to claim 2, wherein when the registered patient satisfying the first search condition is not detected, the search unit searches for the registered patient satisfying the second search condition relating to the important element. apparatus. The storage means stores the examination information and personal information of the registered patient in association with the registered patient,
The acquisition means further acquires diagnosis information and personal information of the target patient,
The said search means searches the said registered patient based on the said examination information and the said personal information of the said target patient, when the said acquisition means cannot acquire the said life information. The information processing apparatus described. The storage means stores the examination information and personal information of the registered patient in association with the registered patient,
The search means searches for the registered patient based on the life information, the examination information, and the personal information of the target patient, and the life information, the examination information, and the personal information of the target patient. The information processing apparatus according to claim 1. An information processing method executed by an information processing apparatus,
An acquisition step of acquiring life information on the life of the target patient;
Retrieval for searching for a registered patient associated with life information related to the acquired life information from storage means for storing and storing life information related to the life of the registered patient and the registered patient and treatment information of the registered patient Steps,
A display control step of displaying on the display means the treatment information associated with the retrieved registered patient.   The information processing method according to claim 10, wherein in the search step, the registered patient satisfying a first search condition that satisfies the first search condition related to the life information of the target patient and the life information of the registered patient is searched. . A calculation step of calculating a similarity between the life information of the target patient and the life information of the registered patient;
The information processing method according to claim 11, wherein in the search step, the registered patients having the similarity equal to or higher than a threshold set as the first search condition are searched. The storage means stores the examination information and personal information of the registered patient in association with the registered patient,
In the search step, when the registered patient satisfying the first search condition is not detected, the life information, the examination information, and the personal information of the target patient, the life information of the registered patient, The information processing method according to claim 11 or 12, wherein the registered patient is searched based on examination information and the personal information.   In the search step, when the registered patient satisfying the first search condition is not detected, the life information, the examination information, and the personal information of the target patient, the life information of the registered patient, The information processing method according to claim 13, wherein the registered patient satisfying a second search condition that satisfies the examination information and the personal information is searched. A specific step of identifying an important element from the life information of the target patient,
The information processing method according to claim 10, wherein in the search step, the registered patient is searched based on the important factor. When the registered patient satisfying the first search condition is not detected, the method further includes a specifying step of specifying an important element from the life information of the target patient,
The information processing according to claim 11, wherein, in the search step, the registered patient that satisfies the second search condition according to the important element is searched when the registered patient that satisfies the first search condition is not detected. Method. The storage means stores the examination information and personal information of the registered patient in association with the registered patient,
In the obtaining step, further obtaining examination information and personal information of the target patient,
The said search step WHEREIN: When the said life information is not acquired at the said acquisition step, the said registered patient is searched based on the said medical examination information and the said personal information of the said target patient, The Claim 10 characterized by the above-mentioned. The information processing method described. The storage means stores the examination information and personal information of the registered patient in association with the registered patient,
In the search step, the registered patient is searched based on the life information, the examination information, and the personal information of the target patient, and the life information, the examination information, and the personal information of the target patient. The information processing method according to claim 10.   A program for causing a computer to execute each step of the information processing method according to any one of claims 10 to 18.

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