WO2022123790A1 - Drug administration guidance information providing system and drug administration guidance information providing program - Google Patents

Drug administration guidance information providing system and drug administration guidance information providing program Download PDF

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Publication number
WO2022123790A1
WO2022123790A1 PCT/JP2020/046403 JP2020046403W WO2022123790A1 WO 2022123790 A1 WO2022123790 A1 WO 2022123790A1 JP 2020046403 W JP2020046403 W JP 2020046403W WO 2022123790 A1 WO2022123790 A1 WO 2022123790A1
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Prior art keywords
information
patient
medication
instruction information
medication instruction
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PCT/JP2020/046403
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French (fr)
Japanese (ja)
Inventor
幹雄 田中
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株式会社Trホールディングス
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Application filed by 株式会社Trホールディングス filed Critical 株式会社Trホールディングス
Priority to JP2022568026A priority Critical patent/JP7323241B2/en
Priority to PCT/JP2020/046403 priority patent/WO2022123790A1/en
Publication of WO2022123790A1 publication Critical patent/WO2022123790A1/en

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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/10ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients

Definitions

  • the present invention relates to a medication instruction information providing system that allows a patient to obtain information on the medication prescribed by the patient.
  • Patent Document 1 a drug information processing system characterized by providing drug information to a patient in response to a patient inquiry operation is available.
  • Patent Document 1 a drug information processing system characterized by providing drug information to a patient in response to a patient inquiry operation is available.
  • This drug information processing system includes a host machine that centrally manages drug information, a mobile terminal that patients carry individually, and a medication information terminal that can exchange medication information data with the host machine and can respond to the mobile terminal.
  • An input terminal for inputting prescription information for each patient, prescription drug name, dosage information, etc. in order to provide medication information to the patient in response to an inquiry operation from the patient taking the drug.
  • It consists of a system that centrally manages medication information such as medication information and medication history for each patient input from the input terminal, and a medication information terminal that can exchange drug information with and from patients.
  • the medication information terminal is designed to appropriately provide drug information to the patient and / or a mobile terminal in response to the inquiry.
  • Patent Document 2 An invention relating to a system characterized in that drug information is browsed using a terminal having a communication function such as a personal computer or a mobile phone is known.
  • a terminal provided with a communication function can be obtained in advance by a patient while waiting for a patient to receive a drug at a hospital or a pharmacy, and after the patient brings back the drug. Since it is possible to obtain drug information by itself using the above, it is possible to realize both effective utilization of waiting time and reconfirmation of drug information at any timing.
  • Japanese Unexamined Patent Publication No. 2001-126002 Japanese Unexamined Patent Publication No. 2002-288343 Japanese Unexamined Patent Publication No. 2004-178265
  • the present invention aims to effectively utilize the waiting time required for delivery of a drug in a medication guidance information providing system that allows a patient to obtain medication guidance information regarding the medication prescribed by the patient, and can consider the attributes of the patient.
  • the challenge is to realize a new medication guidance information provision system.
  • the medication instruction information providing system which is the first invention of the present application made to solve the above problems, is It is a medication guidance information provision system for providing medication guidance information to patients, consisting of a server and a terminal.
  • the server The medication guidance information storage unit that stores medication guidance information, Medication guidance information selection having a medication guidance information selection model that selects one or more suitable for the patient from the medication guidance information by inputting a combination of patient information regarding the patient and prescription information regarding the prescription received by the patient.
  • the terminal is A communication unit for transmitting the patient information and the prescription information to the server and receiving the medication instruction information. It is equipped with an output unit that outputs the selected medication instruction information.
  • the medication instruction information is characterized in that it is at least one of the following groups a or b. a.
  • the medication instruction information providing system which is the second invention of the present application, is It is characterized in that the explanatory text and the explanatory video are simultaneously output by the output unit of the terminal.
  • the medication instruction information providing system which is the third invention of the present application, is
  • the server is provided with a machine learning unit that generates the medication instruction information selection model by learning patient information of an unspecified number of persons and prescription information related to the prescription of the person as input data and medication instruction information as output data. It is characterized by.
  • the medication instruction information providing system which is the fourth invention of the present application, is
  • the server uses an comprehension estimation model in which image data or voice data relating to the reaction of a person who has viewed the medication instruction information is machine-learned as input data and the digitized comprehension of the person as output data. It has an comprehension estimation unit that estimates comprehension, and also has an comprehension estimation unit.
  • the terminal is provided with an image information acquisition means and an audio information acquisition means. The reaction of the patient while viewing the medication instruction information is observed by at least one of the image information acquisition means and the voice information acquisition means, and the obtained image data or voice data is obtained by the comprehension estimation unit. It is characterized in that the degree of understanding of the patient is estimated by processing.
  • the medication instruction information providing system which is the fifth invention of the present application, is The patient's comprehension level estimated by the comprehension level estimation unit is displayed. It is characterized in that a pharmacist provides medication instruction face-to-face with the patient based on the displayed degree of understanding of the patient.
  • the medication instruction information providing system which is the sixth invention of the present application, is It is characterized in that the medication instruction information is selected again based on the comprehension level of the patient estimated by the comprehension level estimation unit.
  • the medication instruction information providing system which is the seventh invention of the present application, is The terminal is provided with an image information acquisition means.
  • the prescription information is transmitted to the server by reading the two-dimensional code displayed on the paper or the screen by the image information acquisition means.
  • the medication instruction information providing system which is the eighth invention of the present application, is There are a plurality of drugs included in the prescription information, and as the medication instruction information, the swallowing, interaction or contraindication related to the plurality of drugs or the explanation of the swallowing, interaction or contraindications related to the plurality of drugs or the swallowing, interaction or contraindication related to the plurality of drugs. It is characterized by selecting at least one of the explanation videos of the matter.
  • the medication instruction information providing system which is the ninth invention of the present application, is
  • the server has a ledger for recording data related to the medication instruction information, the patient information, and the prescription information.
  • the ledger is shared between the server and the terminal by the blockchain technique.
  • the medication instruction information providing system which is the tenth invention of the present application, is
  • the patient information includes name, gender, and date of birth as essential constituent groups, and further includes patient ID, facial image, insurance information, height, weight, medical history, medication history, allergy information, and vital information as additional constituent groups.
  • Disease-related information presence or absence of pregnancy, lifestyle, dietary information, and athletic ability can be selected and configured.
  • the medication instruction information providing system which is the eleventh invention of the present application, is
  • the patient information includes a face image
  • the terminal has an image information acquisition means. It is characterized in that the face of the patient is photographed by the image information acquisition means, face recognition is performed using the photographed face image and the face image in the patient information, and then the medication instruction information is selected. ..
  • the medication instruction information providing system which is the twelfth invention of the present application, is From a main server having a plurality of the medication instruction information selection units and selecting the medication instruction information, and a medication instruction information server having the medication instruction information storage unit and transmitting the medication instruction information. It is characterized by becoming.
  • the medication instruction information provision program which is the thirteenth invention of the present application, is It is a medication guidance information provision program for providing medication guidance information to patients.
  • the medication instruction information is an explanatory text or an explanatory video explaining at least one of a drug type, usage, dose, swallowing, interaction or contraindication.
  • a computer is made to execute a process of outputting one or more suitable medication instruction information.
  • a medication instruction information providing system including a server that stores at least one of a group of explanatory documents or a group of explanatory videos and a terminal that communicates with the server and displays the medication instruction information. Therefore, the patient can be processed by the trained model by combining the patient information about the patient and the prescription information about the prescription received by the patient, and the appropriate one is selected from the medication instruction information, so that the patient can use the terminal. You can use to check the waiting time for delivery of the drug and the medication instruction information optimized for you at the required time such as before taking the drug at home.
  • the patient information regarding the date of birth (age), height, weight, medical history, medication history, and other patient attributes is combined with the prescription information and processed by the medication guidance information selection unit. If you are a child or older, provide medication guidance information that is more straightforward than usual, or if the patient has a history of taking a particular medication, swallow, interact or contraindicate it. Additional medication instruction information to the effect can be provided.
  • the terminal has an image information acquisition means and a voice information acquisition means, and the reaction of the patient is observed while the medication instruction information is displayed, and a machine-learned comprehension estimation model is used.
  • a machine-learned comprehension estimation model is used.
  • the medication instruction information providing system of the present invention multiple times by the same patient, it is possible to optimize the learning of the trained model, and at the same time, the patient's knowledge of the medicine prescribed by himself / herself. It can also improve medication compliance or adherence.
  • the block diagram which shows the medication instruction information provision system 1A which is 1st Embodiment of this invention The block diagram which shows the structure of the server 100 in 1st Embodiment of this invention.
  • the figure which shows the state which the medication instruction information 2 is output by the output part 230 of the terminal 200.
  • FIG. 3 is a different overall flow chart of the medication instruction information providing system 1B according to the second embodiment of the present invention.
  • the whole flow diagram of the medication instruction information provision system 1C which is the 3rd Embodiment of this invention.
  • the block diagram which shows the structure of the server 100D in 3rd Embodiment of this invention.
  • FIG. 1 is a configuration diagram showing a medication guidance information providing system 1A according to the first embodiment of the present invention.
  • the medication guidance information providing system 1A includes a server 100 and a terminal 200, and is a patient information 3 relating to a patient P. It is a system for providing the medication instruction information 2 suitable for the patient P by combining the prescription information 4 regarding the prescription received by the patient P, and the medication instruction suitable for the patient P using the machine-learned AI program. It is characterized by providing information.
  • the medication instruction information providing system 1A is used when the patient P receives a drug at a hospital or a pharmacy after the patient P has been examined by a medical institution such as a hospital. In this embodiment, it will be described as being carried out at a dispensing pharmacy where dispensing is performed.
  • the medication instruction information 2 is information for supporting the medication of the patient P, and is composed of at least one of the following groups.
  • a. A group of documents explaining at least one of a drug type, usage, dose, swallowing, interaction or contraindication, with one or more descriptive texts for the same drug.
  • b. A video group that explains at least one of the type, usage, dose, swallowing, interaction, or contraindication of each drug, and includes one or more explanation videos for the same drug.
  • the patient information 3 is information on the attributes of the patient P centering on items related to the calculation of the drug management guidance fee, and is composed of the following essential constituent groups and non-essential additional constituent groups.
  • Insurance information (insurance type, insurer number, health insurance card code number, etc.)
  • k vital information
  • l. Disease-related information m. Pregnancy
  • n Lifestyle (whether smoking, drinking, driving, sleeping time, etc.) o. Meal information (number of meals, meal content, etc.)
  • the patient ID may be an ID unique to each patient, such as an arbitrary character string, and it is also possible to use the symbol number of the health insurance card.
  • the patient information 3 is collected and converted into data by the medical institution referring to an insurance certificate or the like relating to the patient P, or by the patient P's own self-report or self-input, and the data is collected by the server 100 or the terminal. It is stored in a storage unit of 200, or stored in a shared ledger shared between the server 100 and the terminal 200 by blockchain technology.
  • the prescription information 4 is information included in the prescription prescribed by the patient P, and includes the following configurations. a. Name b. Gender c. Date of birth (age) d. Medical institution information (medical institution name, location, clinical department, doctor in charge, etc.) e. Insurance information (insurer number, health insurance card code number, etc.) f. Drug information (drug, dosage form, usage / dose, etc.)
  • the prescription information 4 digitized can be taken in by scanning the two-dimensional code displayed on the prescription when a medical institution such as a hospital issues the prescription. There is.
  • the paper on which the two-dimensional code is displayed is not limited to the prescription, and may be, for example, a dispensing statement or a data sheet for an electronic medicine notebook.
  • the two-dimensional code may be one that scans what is displayed on the screen of a receipt computer or other electronic device installed in a pharmacy. Further, it may be configured so that the prescription information 4 converted into data can be directly taken in by a wireless communication means or other data communication method without using a two-dimensional code.
  • FIG. 2 is a block diagram showing the configuration of the server 100.
  • the server 100 combines the medication guidance information storage unit 110 that stores the medication guidance information 2, the patient information 3 regarding the patient P, and the prescription information 4 regarding the prescription received by the patient P, and the medication guidance information selection model 121.
  • the configuration may be a cloud server installed on the cloud or a physical server having an entity.
  • the server 100 will be described as using a cloud server.
  • the medication instruction information storage unit 110 can use a storage medium such as a hard disk.
  • the medication information selection model 121 inputs the acquired patient information 3 and the prescription information 4 that have been trained by inputting patient information of an unspecified number of persons and prescription information related to the prescription of the person and learning the medication instruction information as an output.
  • it is an AI program that causes a computer to execute a process of outputting one or more suitable medication instruction information 2, and in the present embodiment, the calculation unit 140 executes the process.
  • the communication unit 130 is for connecting to the network N which is the Internet.
  • the calculation unit 140 includes a CPU 141 for processing information and a memory 142 for writing / reading information.
  • the machine learning unit 150 performs machine learning using a learning data set to generate a trained model, and in the present embodiment, it relates to patient information of an unspecified number of persons and a prescription of the person.
  • the medication instruction information selection model 121 is generated by learning the prescription information as input data and the medication instruction information as output data.
  • patient information 3 of the patient P and the prescription information 4 regarding the prescription received by the patient P may be learned as input data and the medication instruction information as output data.
  • the ledger 160 records data related to the patient information 3 and the prescription information 4 and data related to the medication instruction information 2 output in the past.
  • the ledger 160 may be configured by a database and uses blockchain technology. It may be configured by the shared ledger. In the present embodiment, it is a shared ledger using the blockchain technique and is shared between the server 100 and the terminal 200.
  • the server may be composed of a plurality of servers.
  • the main server 100A having the medication information selection unit 120 and selecting the medication guidance information 2
  • the medication guidance information storage unit 110 having the medication guidance information storage unit 110 and the terminal 100 in response to a command from the main server 100A.
  • It can consist of a medication instruction information server 100B that transmits medication instruction information 2 (see FIG. 3).
  • the medication instruction information server 100B may, for example, use a server independently owned by each pharmaceutical company, or may use a server owned by a public institution.
  • FIG. 4 is a block diagram showing the configuration of the terminal 200.
  • the terminal 200 includes a storage unit 210, a calculation unit 220, an output unit 230, a communication unit 240, an input unit 250, a power supply unit 260, an image information acquisition unit 270, an audio information acquisition unit 280, and a ledger. It has 290 and communicates with the server 100 via the network N to display the medication instruction information 2 stored in the server 100.
  • the terminal 200 for example, a tablet or a smartphone can be used.
  • a tablet terminal provided in the dispensing pharmacy is used.
  • the storage unit 210 is composed of a storage medium 211 which is a non-volatile memory, and stores the installed dedicated application 212 in the storage medium 211.
  • the dedicated application 212 is for implementing the medication instruction information providing system of the present invention, and communicates with the server 100, outputs medication instruction information 2, inputs patient information 3, and prescribes by the image information acquisition means 270. It has functions such as reading the two-dimensional code displayed in.
  • the calculation unit 220 includes a CPU 221 that processes information and a memory 222 that writes / reads information, and executes the dedicated application 212.
  • the output unit 230 includes a video output means 231 which is a display and an audio output means 232 which is a speaker, and the patient P visually outputs the video output by the video output means 231 to the audio output by hearing.
  • the voice output by the means 232 can be recognized.
  • the communication unit 240 is composed of a wireless communication means 241 capable of wireless communication by Wi-Fi (registered trademark), and is configured to be connectable to a network N.
  • Wi-Fi registered trademark
  • the input unit 250 has an input means 251 which is a keyboard or a touch panel.
  • the power supply unit 260 includes a battery 251 capable of supplying electric power for operating the terminal 200.
  • the image information acquisition means 270 is a camera capable of shooting a still image or a moving image, and is arranged on the front surface 201 of the terminal 200.
  • the image information acquisition means 270 observes the reaction of the patient P as image data in order to read the two-dimensional code displayed on the prescription or by photographing the facial expression and movement of the patient P, and the image. It is used to estimate the comprehension level by the comprehension level estimation unit using data.
  • the voice information acquisition means 280 is a microphone for converting the voice of the patient P into an electronic signal, and is arranged on the front surface 201 of the terminal 200.
  • the voice information acquisition means 280 operates the terminal 200 by voice input, or acquires the voice of the patient P and observes the reaction of the patient P as voice data, and uses the voice data. It is used to estimate the comprehension level by the comprehension level estimation unit.
  • the ledger 290 records data related to the patient information 3 and the prescription information 4 and data related to the medication instruction information 2 output in the past.
  • the ledger 290 may be configured by a database and uses blockchain technology. It may be configured by the shared ledger. In the present embodiment, it is a shared ledger using the blockchain technique and is shared between the server 100 and the terminal 200.
  • FIG. 5 is an overall flow chart of the medication instruction information providing system 1A according to the present embodiment. The process will be described below in order.
  • patient P visits a medical institution such as a hospital.
  • a medical institution such as a hospital.
  • the drug diagnosed as necessary is prescribed and a prescription is issued.
  • the patient P who receives the prescription delivers the prescription at the dispensing pharmacy.
  • the staff of the dispensing pharmacy collects the patient information 3 by the prescription, the insurance certificate of the patient P, or the hearing from the patient P, and inputs the patient information 3 using the dedicated application 212 of the terminal 200.
  • the patient P may operate the terminal 200 by himself / herself to input the patient information 3.
  • the staff of the dispensing pharmacy uses the dedicated application 212 of the terminal 200 to scan the two-dimensional code displayed on the prescription on paper by the image information acquisition means 270 to obtain the prescription information 4. input.
  • the patient P may operate the terminal 200 by himself / herself to input the prescription information 4.
  • the paper surface is not limited to the prescription, and may be, for example, a dispensing statement, a data sheet for an electronic medicine notebook, or the like.
  • the two-dimensional code may be one that scans what is displayed on the screen of a receipt computer or other electronic device installed in a pharmacy.
  • the prescription information 4 may be directly transmitted to the terminal 200 by a wireless communication means or other data communication method without using a two-dimensional code.
  • Medication guidance information selection process When the patient information 3 and the prescription information 4 are input from the terminal 200, they are transmitted to the server 100 via the network N, and the medication guidance information by the medication guidance information selection unit 120 in the server 100. The selection process takes place. A detailed explanation of this medication instruction information selection process will be described later.
  • one or more medication guidance information 2 suitable for the patient P is selected.
  • the medication instruction information 2 is output by the output unit 230 of the terminal 200, and the patient P views it.
  • the patient P can view the medication instruction information 2 suitable for himself / herself using the terminal 200.
  • FIG. 7 is a flow chart of the medication instruction information selection process in the present embodiment. The process will be described below in order.
  • S101 Receiving patient information and prescription information B. Patient information registration process and C.I.
  • the server 100 receives the patient information 3 and the prescription information 4 input in the prescription information registration process.
  • the patient P is treated as having knowledge about the prescribed drug in advance, and in the subsequent selection of medication instruction information, for example, the explanation is simplified. It is possible to select the modified medication instruction information 2.
  • the medication instruction information 2 for each drug is selected. Further, when a plurality of drugs are prescribed including the medication history of the patient information 3, the medication instruction information 2 for explaining the swallowing, interaction or contraindications can also be selected.
  • step S104 Transmission of medication instruction information
  • the medication instruction information 2 selected in step S103 is transmitted to the terminal 200 and output using the video output means 231 and the audio output means 232 of the terminal 200, and the patient P is Watch this.
  • FIG. 7 is a diagram showing a state in which medication instruction information is output by the output unit of the terminal.
  • the video output means 231 of the terminal 200 is divided into a plurality of areas, a medication explanation video is in the central main area 231a, a medication explanation is in the lower sub-area 231b, and drug information is in the left sub-area 231c. Is displayed, and the audio of the medication explanation video is being reproduced from the audio output means 232 of the terminal 200.
  • the drug information can be visually linked to the drug in the hand of the patient P and the medication instruction information 2.
  • the patient P to be viewed receives the video and audio explanation of the medication explanation video, but the medication explanation is used. It is possible to obtain detailed textual information in a complex manner, and it is possible to obtain medication instruction information that is as easy to understand as when the patient P receives medication instruction face-to-face with a pharmacist.
  • the medication explanation video and the medication explanation are selected and output for each drug, but the corresponding drug is highlighted from the drug information displayed in the left subarea 231c.
  • the second drug in the drug information is highlighted to illustrate the situation.
  • the medication explanation video, the medication explanation, and the medication information are output together by the output unit 230 of the terminal 200, but only one of the medication explanation video and the medication explanation is output. May be.
  • the medication instruction information 2 to be provided can be simplified and only the medication explanation video can be output by the output unit.
  • FIG. 8 is an overall flow chart of the medication instruction information providing system 1B which is the second embodiment of the present invention, and the present embodiment is the medication instruction information providing system 1A which is the first embodiment of the present invention.
  • a server 100C having a comprehension estimation unit 170 having an comprehension estimation model 171 is used, which is different in that the comprehension estimation process of the patient P by the AI (artificial intelligence) program 112 is included (see FIG. 9). The process will be described below in order.
  • this comprehension estimation model 171 for example, the image data and voice data of the reaction of the person who viewed the medication instruction information 2 are acquired, and the behavior such as frowning or twisting the neck, or the loudness or tone of the voice is obtained. Alternatively, it is considered effective to associate and learn as having a low degree of understanding when making a statement such as intonation or "I don't understand.”
  • model learning and emotion recognition can be performed by a neural network as follows.
  • Data collection / classification> Image data of a person's facial expression is cut out only near the face, classified into four emotions of joy, sadness, anger, and surprise, and labeled to prepare teacher data.
  • Classification training The teacher data is passed to a training model for machine learning. Features are extracted from the image data in the feature extraction layer constituting the training model, and the features are passed to the classification layer and classified. The weights between the layers are adjusted so that the difference (loss) between the emotions as a result classified by the classification layer and the emotions labeled in the teacher data is small. When the difference (loss) is small enough, it is determined that the training is completed and the trained model is generated.
  • the emotion with the highest score can be selected and the emotion of the person can be identified by processing the image data obtained by capturing the facial expression of the person by the trained model. can.
  • Emotion recognition based on contour, eyebrows, eyes, nose, and mouth shape In addition to the above classification training, it is also possible to make several points on the contour, eyebrows, eyes, nose, and mouth of the person's face, and to recognize the person's emotions by the distance and position between the points. ..
  • the process of striking the points can be performed on the feature extraction layer or a layer prepared separately. For example, in the case of a smile, the distance between the upper and lower eyes is closer than that of an angry face, and in the case of a smile, the distance between both ends of the corner of the mouth is larger than that of an angry face.
  • the level of emotion for example, the degree of joy is higher when the distance between both ends of the corner of the mouth is larger than that of the same smile, based on the distance and position between the points. can.
  • the comprehension estimation model 171 may store the model trained in advance in the comprehension estimation unit 170 of the server 100C, or may be trained by the machine learning unit 150.
  • the image data and voice data of the reaction of the patient P who viewed the medication instruction information 2 are acquired, and the behavior such as frowning, twisting the neck, or the loudness, tone or intonation of the voice, "I do not understand", etc.
  • the behavior such as frowning, twisting the neck, or the loudness, tone or intonation of the voice, "I do not understand", etc.
  • it may be associated and learned as having a low degree of understanding.
  • the calculated comprehension value does not reach a predetermined value as a result of processing the reaction of the patient P, it is determined that the comprehension level of the patient P is insufficient, and conversely the calculated comprehension value. If is more than a predetermined value, it is determined that the degree of understanding of the patient P is sufficient.
  • the patient P is made to view the medication instruction information suitable for the patient P in advance, and the comprehension level of the patient P is estimated, based on the comprehension level. It has the advantage that the pharmacist can smoothly give face-to-face medication instruction and support the pharmacist's work.
  • the medication instruction can be simplified, and the pharmacist can simplify the medication instruction. If it is presumed that the patient does not fully understand the medication instruction information viewed by the patient, it is possible to give the medication instruction focusing on the part presumed to be insufficiently understood.
  • This pharmacist can provide face-to-face medication guidance to any patient, but it is especially suitable for patients who feel reassured by face-to-face medication guidance, which is common among the elderly.
  • the selected medication instruction information is re-viewed, or the medication instruction information that is simpler than the selected medication instruction information is reselected. Can be viewed (see FIG. 10).
  • the medication instruction information for resolving the doubt or anxiety about the place can be reselected and viewed.
  • the patient When re-viewing the medication instruction information or viewing the reselected medication instruction information, for example, the patient may be automatically viewed, and after confirming with the patient P by voice or screen display and obtaining consent. It may be used for viewing.
  • the medication instruction information provided to the patient P for viewing may be simplified, the explanation may include technical terms, or the diet or exercise. It can be useful information about diseases and drugs such as improvement of.
  • the drug prescribed for the patient P is the first prescription or the second and subsequent prescriptions, and if it is the second and subsequent prescriptions, the first Therefore, it may be determined that the degree of understanding of the patient P is sufficient.
  • the medication instruction information providing system 1B of the present embodiment face-to-face with a pharmacist or non-face-to-face using the terminal 200 based on the comprehension level of the patient P estimated by the comprehension level estimation unit 170. It enables the ceremony of medication instruction.
  • FIG. 11 is an overall flow diagram of the medication instruction information providing system 1C according to the third embodiment of the present invention, and the present embodiment is the medication instruction information providing system 1B according to the second embodiment of the present invention.
  • a server 100D having a face recognition unit 180 having a face recognition model 181 is used, which is different in that it includes a face recognition process (see FIG. 12).
  • the medication instruction information providing system 1C assumes that the patient P operates the terminal by himself / herself. The process will be described below in order.
  • patient P visits a medical institution such as a hospital.
  • a medical institution such as a hospital.
  • the drug diagnosed as necessary is prescribed and a prescription is issued.
  • Face authentication process The face of the patient P is photographed by the image information acquisition means 270 of the terminal 200, the photographed information is processed by the face authentication unit 180 of the server 100D, and whether or not the patient P is registered in advance is determined. judge. More specifically, using a face authentication model (learned model 113) trained using a photograph of a person's face as input data, the eyes, nose, mouth, and jaw of the person are all included in the photographed information. The captured image is adapted to the face recognition model 181 and when the degree of matching exceeds a predetermined threshold, it is determined that the person is the pre-registered patient P.
  • this face recognition model 181 it is considered effective to learn the images of the eyes, nose, mouth, and chin of an unspecified number of people as teacher data.
  • the face recognition model 181 may store the model trained in advance in the face recognition unit 180 of the server 100, or may be learned by the machine learning unit 150.
  • Patient information registration process The unregistered patient P inputs necessary patient information 3 using the dedicated application 212 of the terminal 200. At this time, arbitrary input may be performed using the input form, or input may be performed for each item in an interactive format using a moving image, automatic voice, or the like.
  • the patient P uses the dedicated application 212 of the terminal 200 to scan the two-dimensional code displayed on the prescription on paper and input the prescription information 4.
  • Medication guidance information selection process When the patient information 3 and the prescription information 4 are input from the terminal 200, they are transmitted to the server 100D via the network N, and the medication guidance information by the medication guidance information selection unit 120 in the server 100D. The selection process takes place. The detailed explanation of this medication instruction information selection process is as described above.
  • one or more medication guidance information 2 suitable for the patient P is selected.
  • the medication instruction information 2 is output by the output unit 230 of the terminal 200, and the patient P views it.
  • the medication instruction information providing system 1C of the present embodiment by introducing the face authentication process, authentication is automatically performed only by taking a picture of the face of the patient P, so that it takes time and effort for input. It can be omitted and security can be improved.
  • medication instruction information providing system shown in each embodiment of the present invention has been described as using the dedicated application 212 installed in the terminal 200, for example, on a cloud accessed via a network N. It may be one that uses software (Software as a Service) or the like that runs on the server, or one that runs on the server that is accessed via the network N.
  • software Software as a Service
  • the medication instruction information providing system shown in each embodiment of the present invention uses a terminal provided in a dispensing pharmacy that dispenses based on a prescription, but a smartphone or tablet owned by the patient is used as the terminal. It may be used.
  • the patient P has the advantage that he / she can use it at any time and place because he / she can obtain medication instruction information regarding the prescribed drug when he / she takes the drug at his / her own home.
  • 1A, 1B, 1C medication guidance information provision system 2 medication guidance information, 3 patient information, 4 prescription information, 100, 100C, 100D server, 100A main server, 100B medication guidance information server, 110 medication guidance information storage unit, 120 medication Guidance information selection unit, 121 medication guidance information selection model, 130 communication unit, 140 calculation unit, 141 CPU, 142 memory, 150 machine learning unit, 160 ledger, 170 comprehension estimation unit, 171 comprehension estimation model, 180 face authentication unit , 181 face authentication model, 200 terminal, 201 front, 210 storage unit, 211 storage medium, 212 dedicated application, 220 arithmetic unit, 221 CPU, 222 memory, 230 output unit, 231 video output means, 231a central main area, 231b bottom Sub area, 231c Left sub area, 232 Audio output means, 240 communication unit, 241 wireless communication means, 250 input unit, 251 input means, 260 power supply unit, 261 battery, 270 image information acquisition means, 280 audio information acquisition means, 290 Ledger, N network, P patient

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Abstract

Provided is a drug administration guidance information providing system for enabling effective utilization of a wait time required for the delivery and receipt of medication, while taking the attributes of a patient into consideration. The drug administration guidance information providing system comprises a server and a terminal, and provides a patient with drug administration guidance information. The server is provided with a drug administration guidance information storage unit for storing drug administration guidance information comprising a description document group or a description video group, and a drug administration guidance information selecting unit including a drug administration guidance information selecting model for selecting, on the basis of an input of patient information combined with prescription information, one or more items from the drug administration guidance information that are suitable for the patient. The terminal is provided with a communication unit for transmitting the patient information and the prescription information to the server and receiving the drug administration guidance information, and an output unit for outputting the selected drug administration guidance information.

Description

服薬指導情報提供システムおよび服薬指導情報提供プログラムMedication guidance information provision system and medication guidance information provision program
 本発明は、患者が自らに処方された薬剤の服薬に関する情報を得ることのできる服薬指導情報提供システムに関する。 The present invention relates to a medication instruction information providing system that allows a patient to obtain information on the medication prescribed by the patient.
 従来、患者が薬物療法を受ける際は、病院等の医療機関で診察を受け、必要と診断された薬剤が処方され、その処方箋に従って調剤された薬剤を病院や薬局で受け取ることによって薬剤の受け渡しがなされている。 Conventionally, when a patient receives drug therapy, he / she is examined at a medical institution such as a hospital, a drug diagnosed as necessary is prescribed, and the drug is delivered by receiving the drug dispensed according to the prescription at a hospital or pharmacy. It has been done.
 薬剤を患者に受け渡す際、調剤を担当する薬剤師等によって薬剤についての説明、および服薬時の用法・用量を中心とした服薬指導が行われており、口頭での服薬指導のみならず、持ち帰り用の印刷物を合わせて患者に受け渡すことも広く行われている。 When delivering a drug to a patient, the pharmacist in charge of dispensing explains the drug and gives guidance focusing on the dosage and administration when taking the drug. It is also widely practiced to hand over the printed matter together to the patient.
 ただし、このような服薬指導の方法においては、一度の口頭説明で前記患者が十分に前記薬剤とその用法・用量について理解することは容易とは言い難く、患者が子供または高齢である場合などはなおさらである。何より、患者は薬剤の受け渡し準備が整うまでただ待機しているしかなく、効率的な業務であるとは言えなかった。 However, in such a method of medication instruction, it is difficult to say that it is easy for the patient to fully understand the drug and its usage / dose with a single oral explanation, and when the patient is a child or an elderly person, etc. Even more so. Above all, the patient had no choice but to wait until the drug was ready to be delivered, which was not an efficient task.
 これに対し、例えば特開2001-126002号公報(特許文献1)に記載された発明のように、患者の照会操作に応じて薬剤情報を患者に提供することを特徴とする薬剤情報処理システムが知られている。 On the other hand, for example, as in the invention described in Japanese Patent Application Laid-Open No. 2001-126002 (Patent Document 1), a drug information processing system characterized by providing drug information to a patient in response to a patient inquiry operation is available. Are known.
 この薬剤情報処理システムは、薬剤情報を集中管理するホスト機と、患者が個々に携帯する携帯端末及び投薬情報のデータの授受をホスト機と行うと共に携帯端末との応答が可能な服薬情報端末とを用いることにより、服薬患者からの照会操作に応答して投薬情報を患者に提供するために、患者ごとの処方箋情報や処方した薬名、薬量等の投薬情報を入力する入力端末と、該入力端末から入力された患者ごとの投薬情報及び薬歴等の薬剤情報等を集中的に管理するシステムと、患者との間で薬剤情報の授受をすることのできる服薬情報端末とから構成され、服薬情報端末は、患者からの照会操作があったとき、その照会に応じて薬剤情報を適宜、患者及び/又は携帯端末に提供するようにしたものである。 This drug information processing system includes a host machine that centrally manages drug information, a mobile terminal that patients carry individually, and a medication information terminal that can exchange medication information data with the host machine and can respond to the mobile terminal. An input terminal for inputting prescription information for each patient, prescription drug name, dosage information, etc. in order to provide medication information to the patient in response to an inquiry operation from the patient taking the drug. It consists of a system that centrally manages medication information such as medication information and medication history for each patient input from the input terminal, and a medication information terminal that can exchange drug information with and from patients. When there is an inquiry operation from a patient, the medication information terminal is designed to appropriately provide drug information to the patient and / or a mobile terminal in response to the inquiry.
 また、その他例えば特開2002-288343号公報(特許文献2)に記載された発明または特開2004-178265号公報(特許文献3)に記載された発明のように、患者が自らに処方された薬剤情報について、パソコンや携帯電話などの通信機能を備えた端末を用いて閲覧することを特徴とするシステムに関する発明が知られている。 In addition, the patient was prescribed by himself / herself, for example, as in the invention described in JP-A-2002-288343 (Patent Document 2) or the invention described in JP-A-2004-178265 (Patent Document 3). An invention relating to a system characterized in that drug information is browsed using a terminal having a communication function such as a personal computer or a mobile phone is known.
 これら従来発明によれば、患者が病院や薬局で薬剤を受け取る際の待ち時間に、薬剤に関する情報を予め患者が入手することができるとともに、患者が薬剤を持ち帰った後に、通信機能を備えた端末を用いて自ら薬剤情報を入手することが可能であるため、待ち時間の有効活用と任意のタイミングでの薬剤情報の再確認の両方を実現することができる。 According to these conventional inventions, a terminal provided with a communication function can be obtained in advance by a patient while waiting for a patient to receive a drug at a hospital or a pharmacy, and after the patient brings back the drug. Since it is possible to obtain drug information by itself using the above, it is possible to realize both effective utilization of waiting time and reconfirmation of drug information at any timing.
 しかしながら、前記従来発明はいずれも投薬情報等の登録作業が必要であるため、処方される薬剤が多種である場合など、入力するべき情報が多い場合は煩雑な作業が必要となるほか、提供される薬剤情報は薬剤ごとの画一的なものであって、患者の性別・年齢・身長・体重・既往歴・服薬履歴等の属性を考慮することはほぼなかった。 However, since all of the above-mentioned conventional inventions require registration work such as medication information, complicated work is required and provided when there is a lot of information to be input, such as when there are various prescribed drugs. The drug information is uniform for each drug, and attributes such as the patient's gender, age, height, weight, medical history, and medication history were hardly taken into consideration.
特開2001-126002号公報Japanese Unexamined Patent Publication No. 2001-126002 特開2002-288343号公報Japanese Unexamined Patent Publication No. 2002-288343 特開2004-178265号公報Japanese Unexamined Patent Publication No. 2004-178265
 本発明は、患者が自らに処方された薬剤の服薬に関する服薬指導情報を得ることのできる服薬指導情報提供システムにおいて、薬剤の受け渡しにかかる待ち時間の有効活用を図るとともに、患者の属性を考慮可能とする新しい服薬指導情報提供システムを実現することを課題とする。 INDUSTRIAL APPLICABILITY The present invention aims to effectively utilize the waiting time required for delivery of a drug in a medication guidance information providing system that allows a patient to obtain medication guidance information regarding the medication prescribed by the patient, and can consider the attributes of the patient. The challenge is to realize a new medication guidance information provision system.
 上記課題を解決するためになされた本願の第1の発明である服薬指導情報提供システムは、
 サーバおよび端末からなる、患者に服薬指導情報を提供するための服薬指導情報提供システムであって、
 前記サーバは、
  服薬指導情報を格納した服薬指導情報格納部と、
  前記患者に関する患者情報と前記患者が受け取った処方箋に関する処方箋情報とを組み合わせて入力することで前記服薬指導情報から前記患者に適するものを1つ以上選択する服薬指導情報選択モデルを有する服薬指導情報選択部と、を備え、
 前記端末は、
  前記サーバに前記患者情報および前記処方箋情報を送信するとともに前記服薬指導情報を受信するための通信部と、
  選択された前記服薬指導情報を出力する出力部と、を備え、
 前記服薬指導情報は、以下のaまたはbの群のうち少なくとも一方であることを特徴とする。
  a.各薬剤の種類,用法,用量,飲み合わせ,相互作用または禁忌事項のうち少なくとも1つを説明する文書群であって、同一の薬剤について1種類以上の説明文を備える文書群。
  b.各薬剤の種類,用法,用量,飲み合わせ,相互作用または禁忌事項のうち少なくとも1つを説明する動画群であって、同一の薬剤について1種類以上の説明動画を備える動画群。
The medication instruction information providing system, which is the first invention of the present application made to solve the above problems, is
It is a medication guidance information provision system for providing medication guidance information to patients, consisting of a server and a terminal.
The server
The medication guidance information storage unit that stores medication guidance information,
Medication guidance information selection having a medication guidance information selection model that selects one or more suitable for the patient from the medication guidance information by inputting a combination of patient information regarding the patient and prescription information regarding the prescription received by the patient. With a department,
The terminal is
A communication unit for transmitting the patient information and the prescription information to the server and receiving the medication instruction information.
It is equipped with an output unit that outputs the selected medication instruction information.
The medication instruction information is characterized in that it is at least one of the following groups a or b.
a. A group of documents explaining at least one of the type, usage, dose, swallowing, interaction or contraindication of each drug, and having one or more explanations for the same drug.
b. A video group that explains at least one of the type, usage, dose, swallowing, interaction, or contraindication of each drug, and includes one or more types of video explaining the same drug.
 本願の第2の発明である服薬指導情報提供システムは、
 前記端末の出力部によって前記説明文および前記説明動画を同時に出力することを特徴とする。
The medication instruction information providing system, which is the second invention of the present application, is
It is characterized in that the explanatory text and the explanatory video are simultaneously output by the output unit of the terminal.
 本願の第3の発明である服薬指導情報提供システムは、
 前記サーバが、不特定多数の人物の患者情報と前記人物の処方箋に関する処方箋情報を入力データ、服薬指導情報を出力データとして学習させることで前記服薬指導情報選択モデルを生成する機械学習部を備えることを特徴とする。
The medication instruction information providing system, which is the third invention of the present application, is
The server is provided with a machine learning unit that generates the medication instruction information selection model by learning patient information of an unspecified number of persons and prescription information related to the prescription of the person as input data and medication instruction information as output data. It is characterized by.
 本願の第4の発明である服薬指導情報提供システムは、
 前記サーバが、前記服薬指導情報を視聴した人物の反応に関する画像データまたは音声データを入力データ、数値化した前記人物の理解度を出力データとして機械学習させた理解度推定モデルを用いて前記患者の理解度を推定する理解度推定部を備えているとともに、
 前記端末が、画像情報取得手段および音声情報取得手段を備えており、
 前記服薬指導情報を視聴している間の前記患者の反応を前記画像情報取得手段および前記音声情報取得手段のうち少なくとも一方で観測し、得られた画像データまたは音声データを前記理解度推定部により処理することにより前記患者の理解度を推定することを特徴とする。
The medication instruction information providing system, which is the fourth invention of the present application, is
The server uses an comprehension estimation model in which image data or voice data relating to the reaction of a person who has viewed the medication instruction information is machine-learned as input data and the digitized comprehension of the person as output data. It has an comprehension estimation unit that estimates comprehension, and also has an comprehension estimation unit.
The terminal is provided with an image information acquisition means and an audio information acquisition means.
The reaction of the patient while viewing the medication instruction information is observed by at least one of the image information acquisition means and the voice information acquisition means, and the obtained image data or voice data is obtained by the comprehension estimation unit. It is characterized in that the degree of understanding of the patient is estimated by processing.
 本願の第5の発明である服薬指導情報提供システムは、
 前記理解度推定部により推定した患者の理解度が表示され、
 表示された前記患者の理解度に基づいて薬剤師が前記患者と対面して服薬指導を行うことを特徴とする。
The medication instruction information providing system, which is the fifth invention of the present application, is
The patient's comprehension level estimated by the comprehension level estimation unit is displayed.
It is characterized in that a pharmacist provides medication instruction face-to-face with the patient based on the displayed degree of understanding of the patient.
 本願の第6の発明である服薬指導情報提供システムは、
 前記理解度推定部により推定した患者の理解度に基づいて前記服薬指導情報を再度選択することを特徴とする。
The medication instruction information providing system, which is the sixth invention of the present application, is
It is characterized in that the medication instruction information is selected again based on the comprehension level of the patient estimated by the comprehension level estimation unit.
 本願の第7の発明である服薬指導情報提供システムは、
 前記端末が画像情報取得手段を備え、
 前記処方箋情報が、紙面上または画面上に表示された二次元コードを前記画像情報取得手段により読み取ることによって前記サーバへ送信されることを特徴とする。
The medication instruction information providing system, which is the seventh invention of the present application, is
The terminal is provided with an image information acquisition means.
The prescription information is transmitted to the server by reading the two-dimensional code displayed on the paper or the screen by the image information acquisition means.
 本願の第8の発明である服薬指導情報提供システムは、
 前記処方箋情報に含まれる薬剤が複数であり、前記服薬指導情報として前記複数の薬剤に関係する飲み合わせ,相互作用または禁忌事項の説明文または前記複数の薬剤に関係する飲み合わせ,相互作用または禁忌事項の説明動画のうち少なくとも一方を選択することを特徴とする。
The medication instruction information providing system, which is the eighth invention of the present application, is
There are a plurality of drugs included in the prescription information, and as the medication instruction information, the swallowing, interaction or contraindication related to the plurality of drugs or the explanation of the swallowing, interaction or contraindications related to the plurality of drugs or the swallowing, interaction or contraindication related to the plurality of drugs. It is characterized by selecting at least one of the explanation videos of the matter.
 本願の第9の発明である服薬指導情報提供システムは、
 前記サーバが前記服薬指導情報,前記患者情報および前記処方箋情報に関するデータを記録する台帳を有しており、
 ブロックチェーン技術によって前記台帳は前記サーバおよび前記端末間で共有されていることを特徴とする。
The medication instruction information providing system, which is the ninth invention of the present application, is
The server has a ledger for recording data related to the medication instruction information, the patient information, and the prescription information.
The ledger is shared between the server and the terminal by the blockchain technique.
 本願の第10の発明である服薬指導情報提供システムは、
 前記患者情報が、必須構成群として、氏名・性別・生年月日を含み、更に追加構成群として、患者ID,顔画像,保険情報,身長,体重,既往歴,服薬履歴,アレルギー情報,バイタル情報,疾病関連情報,妊娠の有無,生活習慣,食事情報,運動能力のうち1つ以上を選択して構成することができることを特徴とする。
The medication instruction information providing system, which is the tenth invention of the present application, is
The patient information includes name, gender, and date of birth as essential constituent groups, and further includes patient ID, facial image, insurance information, height, weight, medical history, medication history, allergy information, and vital information as additional constituent groups. , Disease-related information, presence or absence of pregnancy, lifestyle, dietary information, and athletic ability can be selected and configured.
 本願の第11の発明である服薬指導情報提供システムは、
 前記患者情報が顔画像を含むとともに前記端末が画像情報取得手段を有しており、
 前記画像情報取得手段によって前記患者の顔を撮影し、当該撮影した顔画像と前記患者情報内の顔画像を用いた顔認証を行った後に前記服薬指導情報の選択が行われることを特徴とする。
The medication instruction information providing system, which is the eleventh invention of the present application, is
The patient information includes a face image, and the terminal has an image information acquisition means.
It is characterized in that the face of the patient is photographed by the image information acquisition means, face recognition is performed using the photographed face image and the face image in the patient information, and then the medication instruction information is selected. ..
 本願の第12の発明である服薬指導情報提供システムは、
 前記サーバが複数であり、前記服薬指導情報選択部を有し前記服薬指導情報の選択を行うメインサーバと、前記服薬指導情報格納部を有し前記服薬指導情報を送信する服薬指導情報サーバとからなることを特徴とする。
The medication instruction information providing system, which is the twelfth invention of the present application, is
From a main server having a plurality of the medication instruction information selection units and selecting the medication instruction information, and a medication instruction information server having the medication instruction information storage unit and transmitting the medication instruction information. It is characterized by becoming.
 本願の第13の発明である服薬指導情報提供プログラムは、
 患者に服薬指導情報を提供するための服薬指導情報提供プログラムであって、
 前記服薬指導情報は、薬剤の種類,用法,用量,飲み合わせ,相互作用または禁忌事項のうち少なくとも1つを説明する説明文または説明動画であり、
 不特定多数の人物の患者情報と前記人物の処方箋に関する処方箋情報を入力、服薬指導情報を出力として学習させた学習済みモデルに、前記患者に関する患者情報および前記患者が受け取った処方箋に関する処方箋情報を入力し、適する前記服薬指導情報を1つ以上出力する処理をコンピュータに実行させることを特徴とする。
The medication instruction information provision program, which is the thirteenth invention of the present application, is
It is a medication guidance information provision program for providing medication guidance information to patients.
The medication instruction information is an explanatory text or an explanatory video explaining at least one of a drug type, usage, dose, swallowing, interaction or contraindication.
Enter patient information about the patient and prescription information about the prescription received by the patient in a trained model trained by inputting patient information about an unspecified number of people and prescription information about the prescription of the person and using medication instruction information as output. However, it is characterized in that a computer is made to execute a process of outputting one or more suitable medication instruction information.
 本発明によれば、説明文書群または説明動画群のうち少なくとも一方の服薬指導情報を格納したサーバと、前記サーバと通信するとともに前記服薬指導情報を表示する端末からなる構成の服薬指導情報提供システムであって、患者に関する患者情報と前記患者が受け取った処方箋に関する処方箋情報とを組み合わせて学習済みモデルによる処理を行い、前記服薬指導情報から適するものを選択するものとしたことで、患者は前記端末を使用して、薬剤の受け渡しの待ち時間や、自宅での服薬前などの必要な時期に自らに最適化された服薬指導情報を確認することができる。 According to the present invention, a medication instruction information providing system including a server that stores at least one of a group of explanatory documents or a group of explanatory videos and a terminal that communicates with the server and displays the medication instruction information. Therefore, the patient can be processed by the trained model by combining the patient information about the patient and the prescription information about the prescription received by the patient, and the appropriate one is selected from the medication instruction information, so that the patient can use the terminal. You can use to check the waiting time for delivery of the drug and the medication instruction information optimized for you at the required time such as before taking the drug at home.
 また、生年月日(年齢)・身長・体重・既往歴・服薬履歴その他の患者の属性に関する患者情報を処方箋情報と組み合わせて服薬指導情報選択部により処理するものとしたことで、例えば前記患者が子供または高齢である場合には、通常よりも平易な表現に努めた服薬指導情報を提供したり、前記患者が特定の薬剤の服薬履歴がある場合には、飲み合わせ,相互作用または禁忌事項について注意する旨の追加の服薬指導情報を提供したりすることができる。 In addition, the patient information regarding the date of birth (age), height, weight, medical history, medication history, and other patient attributes is combined with the prescription information and processed by the medication guidance information selection unit. If you are a child or older, provide medication guidance information that is more straightforward than usual, or if the patient has a history of taking a particular medication, swallow, interact or contraindicate it. Additional medication instruction information to the effect can be provided.
 更に、前記端末が画像情報取得手段および音声情報取得手段を有しており、前記服薬指導情報を表示している間の前記患者の反応を観測して機械学習済みの理解度推定モデルを用いて処理をするものとしたことで、推定された前記患者の理解度に応じて最適な服薬指導情報を提供することができ、薬剤師の服薬指導を補助するために利用することもできる。 Further, the terminal has an image information acquisition means and a voice information acquisition means, and the reaction of the patient is observed while the medication instruction information is displayed, and a machine-learned comprehension estimation model is used. By performing the treatment, it is possible to provide the optimum medication instruction information according to the estimated degree of understanding of the patient, and it can also be used to assist the pharmacist's medication instruction.
 そして、本発明である服薬指導情報提供システムを同じ患者が複数回利用することによって、前記学習済みモデルの学習の最適化を図ることができるとともに、前記患者の自らに処方された薬剤に関する知識、服薬コンプライアンス、またはアドヒアランスの向上をも図ることができる。 Then, by using the medication instruction information providing system of the present invention multiple times by the same patient, it is possible to optimize the learning of the trained model, and at the same time, the patient's knowledge of the medicine prescribed by himself / herself. It can also improve medication compliance or adherence.
本発明の第1の実施の形態である服薬指導情報提供システム1Aを示す構成図。The block diagram which shows the medication instruction information provision system 1A which is 1st Embodiment of this invention. 本発明の第1の実施の形態におけるサーバ100の構成を示すブロック図。The block diagram which shows the structure of the server 100 in 1st Embodiment of this invention. サーバが複数からなる場合の服薬指導情報提供システム1Aを示す構成図。The block diagram which shows the medication instruction information provision system 1A when there are a plurality of servers. 本発明の第1の実施の形態における端末200の構成を示すブロック図。The block diagram which shows the structure of the terminal 200 in 1st Embodiment of this invention. 本発明の第1の実施の形態である服薬指導情報提供システム1Aの全体フロー図。The overall flow diagram of the medication instruction information provision system 1A which is the 1st Embodiment of this invention. 本発明の第1の実施の形態における服薬指導情報選択プロセスのフロー図。The flow chart of the medication instruction information selection process in 1st Embodiment of this invention. 服薬指導情報2を前記端末200の出力部230によって出力している状態を示す図。The figure which shows the state which the medication instruction information 2 is output by the output part 230 of the terminal 200. 本発明の第2の実施の形態である服薬指導情報提供システム1Bの全体フロー図。The whole flow diagram of the medication instruction information provision system 1B which is the 2nd Embodiment of this invention. 本発明の第2の実施の形態におけるサーバ100Cの構成を示すブロック図。The block diagram which shows the structure of the server 100C in the 2nd Embodiment of this invention. 本発明の第2の実施の形態である服薬指導情報提供システム1Bの異なる全体フロー図。FIG. 3 is a different overall flow chart of the medication instruction information providing system 1B according to the second embodiment of the present invention. 本発明の第3の実施の形態である服薬指導情報提供システム1Cの全体フロー図。The whole flow diagram of the medication instruction information provision system 1C which is the 3rd Embodiment of this invention. 本発明の第3の実施の形態におけるサーバ100Dの構成を示すブロック図。The block diagram which shows the structure of the server 100D in 3rd Embodiment of this invention.
 以下、図面に基づいて本発明の実施の形態について詳細に説明する。 Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.
 図1は本発明の第1の実施の形態である服薬指導情報提供システム1Aを示す構成図であり、前記服薬指導情報提供システム1Aは、サーバ100と端末200からなり、患者Pに関する患者情報3と前記患者Pが受け取った処方箋に関する処方箋情報4とを組み合わせて前記患者Pに適する服薬指導情報2を提供するためのシステムであり、機械学習したAIプログラムを用いて前記患者Pに適した服薬指導情報を提供することを特徴とするものである。 FIG. 1 is a configuration diagram showing a medication guidance information providing system 1A according to the first embodiment of the present invention. The medication guidance information providing system 1A includes a server 100 and a terminal 200, and is a patient information 3 relating to a patient P. It is a system for providing the medication instruction information 2 suitable for the patient P by combining the prescription information 4 regarding the prescription received by the patient P, and the medication instruction suitable for the patient P using the machine-learned AI program. It is characterized by providing information.
 本実施の形態である服薬指導情報提供システム1Aは、前記患者Pが病院等の医療機関によって診察を受けたのちに、前記患者Pが病院や薬局で薬剤を受け取る際に用いられるものであり、本実施の形態においては、調剤を行う調剤薬局において実施するものとして説明を行う。 The medication instruction information providing system 1A according to the present embodiment is used when the patient P receives a drug at a hospital or a pharmacy after the patient P has been examined by a medical institution such as a hospital. In this embodiment, it will be described as being carried out at a dispensing pharmacy where dispensing is performed.
 前記服薬指導情報2は、前記患者Pの服薬を支援するための情報であり、以下の群のうち少なくとも一方から構成される。
 a.薬剤の種類,用法,用量,飲み合わせ,相互作用または禁忌事項のうち少なくとも1つを説明する文書群であって、同一の薬剤について1種類以上の説明文を備える文書群。
 b.各薬剤の種類,用法,用量,飲み合わせ,相互作用または禁忌事項のうち少なくとも1つを説明する動画群であって、同一の薬剤について1種類以上の説明動画を備える動画群。
The medication instruction information 2 is information for supporting the medication of the patient P, and is composed of at least one of the following groups.
a. A group of documents explaining at least one of a drug type, usage, dose, swallowing, interaction or contraindication, with one or more descriptive texts for the same drug.
b. A video group that explains at least one of the type, usage, dose, swallowing, interaction, or contraindication of each drug, and includes one or more explanation videos for the same drug.
 前記患者情報3は、薬剤管理指導料の算定に関わる項目などを中心とした患者Pの属性に関する情報であり、以下の必須構成群と、必須ではない追加構成群とから構成される。
 <必須構成群>
 a.氏名
 b.性別
 c.生年月日(年齢)
 <追加構成群>
 d.患者ID
 e.保険情報(保険種別、保険者番号、保険証の記号番号など)
 f.身長
 g.体重
 h.既往歴
 i.服薬履歴
 j.アレルギー情報
 k.バイタル情報
 l.疾病関連情報
 m.妊娠の有無
 n.生活習慣(喫煙の有無、飲酒の有無、運転の有無、睡眠時間など)
 o.食事情報(食事の回数、食事の内容など)
 p.運動能力
The patient information 3 is information on the attributes of the patient P centering on items related to the calculation of the drug management guidance fee, and is composed of the following essential constituent groups and non-essential additional constituent groups.
<Required composition group>
a. Name b. Gender c. Date of birth (age)
<Additional configuration group>
d. Patient ID
e. Insurance information (insurance type, insurer number, health insurance card code number, etc.)
f. Height g. Weight h. Medical history i. Medication history j. Allergy information k. Vital information l. Disease-related information m. Pregnancy n. Lifestyle (whether smoking, drinking, driving, sleeping time, etc.)
o. Meal information (number of meals, meal content, etc.)
p. Exercise capacity
 尚、前記患者IDは任意の文字列など患者毎にユニークなIDであればよく、保険証の記号番号などを使用することも可能である。 The patient ID may be an ID unique to each patient, such as an arbitrary character string, and it is also possible to use the symbol number of the health insurance card.
 前記患者情報3は、前記医療機関が前記患者Pに関する保険証等を参照すること、または前記患者P自身の自己申告あるいは自己入力により収集してデータ化され、そのデータは前記サーバ100または前記端末200の記憶部に格納するか、あるいはブロックチェーン技術によって前記サーバ100および前記端末200の間で共有される共有台帳に格納される。 The patient information 3 is collected and converted into data by the medical institution referring to an insurance certificate or the like relating to the patient P, or by the patient P's own self-report or self-input, and the data is collected by the server 100 or the terminal. It is stored in a storage unit of 200, or stored in a shared ledger shared between the server 100 and the terminal 200 by blockchain technology.
 前記処方箋情報4は、前記患者Pが処方された処方箋に含まれる情報であり、以下の構成を含む。
 a.氏名
 b.性別
 c.生年月日(年齢)
 d.医療機関情報(医療機関名、所在地、診療科、担当医師など)
 e.保険情報(保険者番号、保険証の記号番号など)
 f.薬剤情報(薬品、剤形、用法・用量など)
The prescription information 4 is information included in the prescription prescribed by the patient P, and includes the following configurations.
a. Name b. Gender c. Date of birth (age)
d. Medical institution information (medical institution name, location, clinical department, doctor in charge, etc.)
e. Insurance information (insurer number, health insurance card code number, etc.)
f. Drug information (drug, dosage form, usage / dose, etc.)
 本実施の形態においては、病院などの医療機関が処方箋を発行する際に処方箋に表示した二次元コードをスキャンすることによって、データ化された前記処方箋情報4を取り込むことができるように構成されている。 In the present embodiment, the prescription information 4 digitized can be taken in by scanning the two-dimensional code displayed on the prescription when a medical institution such as a hospital issues the prescription. There is.
 なお、二次元コードが表示される紙面は前記処方箋に限られるものではなく、例えば調剤明細書や、電子お薬手帳用のデータシートなどであってもよい。また、二次元コードは薬局に設置されたレセコンその他の電子機器の画面上に表示されたものをスキャンするものであってもよい。更に、二次元コードを介することなく、無線通信手段その他のデータ通信方法によって、データ化された処方箋情報4を直接取り込むことができるように構成されているものとしてもよい。 The paper on which the two-dimensional code is displayed is not limited to the prescription, and may be, for example, a dispensing statement or a data sheet for an electronic medicine notebook. Further, the two-dimensional code may be one that scans what is displayed on the screen of a receipt computer or other electronic device installed in a pharmacy. Further, it may be configured so that the prescription information 4 converted into data can be directly taken in by a wireless communication means or other data communication method without using a two-dimensional code.
 図2は前記サーバ100の構成を示すブロック図である。
 前記サーバ100は、前記服薬指導情報2を格納した服薬指導情報格納部110と、前記患者Pに関する患者情報3と前記患者Pが受け取った処方箋に関する処方箋情報4とを組み合わせて服薬指導情報選択モデル121に入力することにより、前記服薬指導情報2から適するものを1つ以上選択する服薬指導情報選択部120と、通信部130と、演算処理を行う演算部140と、機械学習部150と、台帳160と、を有し、インターネットであるネットワークNにアクセス可能に構成されている。尚、その構成はクラウド上に設置されたクラウドサーバであっても、実体を有する物理サーバであってもよい。
FIG. 2 is a block diagram showing the configuration of the server 100.
The server 100 combines the medication guidance information storage unit 110 that stores the medication guidance information 2, the patient information 3 regarding the patient P, and the prescription information 4 regarding the prescription received by the patient P, and the medication guidance information selection model 121. The medication instruction information selection unit 120, the communication unit 130, the arithmetic unit 140 that performs arithmetic processing, the machine learning unit 150, and the ledger 160 that select one or more suitable ones from the medication instruction information 2 by inputting to. And, and is configured to be accessible to network N, which is the Internet. The configuration may be a cloud server installed on the cloud or a physical server having an entity.
 本実施の形態において、前記サーバ100はクラウドサーバを使用するものとして説明を行う。 In the present embodiment, the server 100 will be described as using a cloud server.
 服薬指導情報格納部110は、例えばハードディスクなどの記憶媒体が使用可能である。 The medication instruction information storage unit 110 can use a storage medium such as a hard disk.
 前記服薬情報選択モデル121は、不特定多数の人物の患者情報と前記人物の処方箋に関する処方箋情報を入力、服薬指導情報を出力として学習させた、取得した前記患者情報3と前記処方箋情報4を入力し、適する前記服薬指導情報2を1つ以上出力する処理をコンピュータに実行させるAIプログラムであって、本実施の形態では、前記演算部140が前記処理を実行するものである。 The medication information selection model 121 inputs the acquired patient information 3 and the prescription information 4 that have been trained by inputting patient information of an unspecified number of persons and prescription information related to the prescription of the person and learning the medication instruction information as an output. However, it is an AI program that causes a computer to execute a process of outputting one or more suitable medication instruction information 2, and in the present embodiment, the calculation unit 140 executes the process.
 前記通信部130は、インターネットであるネットワークNに接続するためのものである。 The communication unit 130 is for connecting to the network N which is the Internet.
 前記演算部140は、情報を処理するCPU141と、情報の書き込み・読み出しをするメモリ142と、からなる。 The calculation unit 140 includes a CPU 141 for processing information and a memory 142 for writing / reading information.
 前記機械学習部150は、学習用データセットを用いて機械学習を行い、学習済みモデルを生成するものであって、本実施の形態では、不特定多数の人物の患者情報と前記人物の処方箋に関する処方箋情報を入力データ、服薬指導情報を出力データとして学習させることで前記服薬指導情報選択モデル121を生成するものである。 The machine learning unit 150 performs machine learning using a learning data set to generate a trained model, and in the present embodiment, it relates to patient information of an unspecified number of persons and a prescription of the person. The medication instruction information selection model 121 is generated by learning the prescription information as input data and the medication instruction information as output data.
 尚、前記患者Pの患者情報3および前記患者Pが受け取った処方箋に関する処方箋情報4を入力データ、服薬指導情報を出力データとして学習させるものとしてもよい。 It should be noted that the patient information 3 of the patient P and the prescription information 4 regarding the prescription received by the patient P may be learned as input data and the medication instruction information as output data.
 前記台帳160は、前記患者情報3および前記処方箋情報4に関するデータと、過去に出力した服薬指導情報2に関するデータを記録するものであり、例えばデータベースにより構成するものとしてもよく、ブロックチェーン技術を用いた共有台帳により構成するものとしてもよい。本実施の形態においては、ブロックチェーン技術を用いた共有台帳であって、サーバ100と端末200間で共有されている。 The ledger 160 records data related to the patient information 3 and the prescription information 4 and data related to the medication instruction information 2 output in the past. For example, the ledger 160 may be configured by a database and uses blockchain technology. It may be configured by the shared ledger. In the present embodiment, it is a shared ledger using the blockchain technique and is shared between the server 100 and the terminal 200.
 尚、前記サーバは複数からなるものとしてもよい。例えば、前記服薬情報選択部120を有し前記服薬指導情報2の選択を行うメインサーバ100Aと、服薬指導情報格納部110を有し前記メインサーバ100Aからの指令に応じて前記端末100への前記服薬指導情報2の送信を行う服薬指導情報サーバ100Bとからなるものとすることができる(図3参照)。 The server may be composed of a plurality of servers. For example, the main server 100A having the medication information selection unit 120 and selecting the medication guidance information 2, and the medication guidance information storage unit 110 having the medication guidance information storage unit 110 and the terminal 100 in response to a command from the main server 100A. It can consist of a medication instruction information server 100B that transmits medication instruction information 2 (see FIG. 3).
 前記服薬指導情報サーバ100Bは、例えば製薬会社がそれぞれ独自に所有するサーバを用いるものとすることや、公的機関が所有するサーバを用いるものとすることができる。 The medication instruction information server 100B may, for example, use a server independently owned by each pharmaceutical company, or may use a server owned by a public institution.
 図4は前記端末200の構成を示すブロック図である。
 前記端末200は、記憶部210と、演算部220と、出力部230と、通信部240と、入力部250と、電源部260と、画像情報取得手段270と、音声情報取得手段280と、台帳290とを有し、前記ネットワークNを介して前記サーバ100と通信して、前記サーバ100内に格納された前記服薬指導情報2を表示するためのものである。
FIG. 4 is a block diagram showing the configuration of the terminal 200.
The terminal 200 includes a storage unit 210, a calculation unit 220, an output unit 230, a communication unit 240, an input unit 250, a power supply unit 260, an image information acquisition unit 270, an audio information acquisition unit 280, and a ledger. It has 290 and communicates with the server 100 via the network N to display the medication instruction information 2 stored in the server 100.
 前記端末200としては、例えばタブレットまたはスマートフォンが使用可能である。本実施の形態においては、前記調剤薬局に備えられたタブレット端末を用いるものである。 As the terminal 200, for example, a tablet or a smartphone can be used. In the present embodiment, a tablet terminal provided in the dispensing pharmacy is used.
 前記記憶部210は、不揮発性メモリである記憶媒体211からなり、その中に、インストールされた専用アプリケーション212を格納している。 The storage unit 210 is composed of a storage medium 211 which is a non-volatile memory, and stores the installed dedicated application 212 in the storage medium 211.
 前記専用アプリケーション212は本発明の服薬指導情報提供システムを実施するためのものであり、前記サーバ100との通信、服薬指導情報2の出力、患者情報3の入力、前記画像情報取得手段270による処方箋に表示された二次元コードの読込、などの機能を有する。 The dedicated application 212 is for implementing the medication instruction information providing system of the present invention, and communicates with the server 100, outputs medication instruction information 2, inputs patient information 3, and prescribes by the image information acquisition means 270. It has functions such as reading the two-dimensional code displayed in.
 前記演算部220は、情報を処理するCPU221と、情報の書き込み・読み出しをするメモリ222と、からなり、前記専用アプリケーション212を実行するものである。 The calculation unit 220 includes a CPU 221 that processes information and a memory 222 that writes / reads information, and executes the dedicated application 212.
 前記出力部230は、ディスプレイである映像出力手段231と、スピーカーである音声出力手段232とからなり、前記患者Pは、視覚によって前記映像出力手段231により出力された映像を、聴覚によって前記音声出力手段232により出力された音声を認識することができる。 The output unit 230 includes a video output means 231 which is a display and an audio output means 232 which is a speaker, and the patient P visually outputs the video output by the video output means 231 to the audio output by hearing. The voice output by the means 232 can be recognized.
 前記通信部240は、Wi-Fi(登録商標)による無線通信が可能な無線通信手段241からなり、ネットワークNに接続可能に構成されている。 The communication unit 240 is composed of a wireless communication means 241 capable of wireless communication by Wi-Fi (registered trademark), and is configured to be connectable to a network N.
 前記入力部250は、キーボードまたはタッチパネルである入力手段251を有する。 The input unit 250 has an input means 251 which is a keyboard or a touch panel.
 前記電源部260は、前記端末200を作動させるための電力を供給可能なバッテリー251からなる。 The power supply unit 260 includes a battery 251 capable of supplying electric power for operating the terminal 200.
 前記画像情報取得手段270は、静止画や動画を撮影可能なカメラであって、前記端末200の前面201に配置されている。本発明において、前記画像情報取得手段270は、処方箋に表示された二次元コードを読み取るため、または前記患者Pの表情や動作を撮影して前記患者Pの反応を画像データとして観測し、当該画像データを用いた理解度推定部による理解度の推定を行うために使用される。 The image information acquisition means 270 is a camera capable of shooting a still image or a moving image, and is arranged on the front surface 201 of the terminal 200. In the present invention, the image information acquisition means 270 observes the reaction of the patient P as image data in order to read the two-dimensional code displayed on the prescription or by photographing the facial expression and movement of the patient P, and the image. It is used to estimate the comprehension level by the comprehension level estimation unit using data.
 前記音声情報取得手段280は、前記患者Pの声を電子信号に変換するためのマイクであって、前記端末200の前面201に配置されている。本発明において、前記音声情報取得手段280は、音声入力により前記端末200を操作するため、または前記患者Pの声を取得して前記患者Pの反応を音声データとして観測し、当該音声データを用いた理解度推定部による理解度の推定を行うために使用される。 The voice information acquisition means 280 is a microphone for converting the voice of the patient P into an electronic signal, and is arranged on the front surface 201 of the terminal 200. In the present invention, the voice information acquisition means 280 operates the terminal 200 by voice input, or acquires the voice of the patient P and observes the reaction of the patient P as voice data, and uses the voice data. It is used to estimate the comprehension level by the comprehension level estimation unit.
 前記台帳290は、前記患者情報3および前記処方箋情報4に関するデータと、過去に出力した服薬指導情報2に関するデータを記録するものであり、例えばデータベースにより構成するものとしてもよく、ブロックチェーン技術を用いた共有台帳により構成するものとしてもよい。本実施の形態においては、ブロックチェーン技術を用いた共有台帳であって、サーバ100と端末200間で共有されている。 The ledger 290 records data related to the patient information 3 and the prescription information 4 and data related to the medication instruction information 2 output in the past. For example, the ledger 290 may be configured by a database and uses blockchain technology. It may be configured by the shared ledger. In the present embodiment, it is a shared ledger using the blockchain technique and is shared between the server 100 and the terminal 200.
 図5は本実施の形態における服薬指導情報提供システム1Aの全体フロー図である。
 以下に、順を追ってその工程を説明する。
FIG. 5 is an overall flow chart of the medication instruction information providing system 1A according to the present embodiment.
The process will be described below in order.
 A.医療機関受診
 まず、患者Pは病院等の医療機関を受診する。診察の結果、必要と診断された薬剤が処方され、処方箋が発行される。
A. Visiting a medical institution First, patient P visits a medical institution such as a hospital. As a result of the examination, the drug diagnosed as necessary is prescribed and a prescription is issued.
 B.患者情報登録プロセス
 前記処方箋を受け取った前記患者Pは、調剤薬局にて前記処方箋を引き渡す。その際、前記調剤薬局の職員は、患者情報3を前記処方箋、前記患者Pの保険証、または前記患者Pからのヒアリングによって収集し、前記端末200の専用アプリケーション212を用いて入力する。尚、このとき前記患者Pが自ら端末200を操作して患者情報3を入力してもよい。
B. Patient information registration process The patient P who receives the prescription delivers the prescription at the dispensing pharmacy. At that time, the staff of the dispensing pharmacy collects the patient information 3 by the prescription, the insurance certificate of the patient P, or the hearing from the patient P, and inputs the patient information 3 using the dedicated application 212 of the terminal 200. At this time, the patient P may operate the terminal 200 by himself / herself to input the patient information 3.
 C.処方箋情報登録プロセス
 続けて、前記調剤薬局の職員は、前記端末200の専用アプリケーション212を用い、画像情報取得手段270によって紙面である前記処方箋に表示された二次元コードをスキャンして処方箋情報4を入力する。尚、このとき前記患者Pが自ら端末200を操作して処方箋情報4を入力してもよい。また、前記紙面は前記処方箋に限られるものではなく、例えば調剤明細書や、電子お薬手帳用のデータシートなどであってもよい。また、二次元コードは薬局に設置されたレセコンその他の電子機器の画面上に表示されたものをスキャンするものであってもよい。更に、二次元コードを介することなく無線通信手段その他のデータ通信方法によって処方箋情報4が前記端末200に直接送信されるものであってもよい。
C. Prescription information registration process Subsequently, the staff of the dispensing pharmacy uses the dedicated application 212 of the terminal 200 to scan the two-dimensional code displayed on the prescription on paper by the image information acquisition means 270 to obtain the prescription information 4. input. At this time, the patient P may operate the terminal 200 by himself / herself to input the prescription information 4. Further, the paper surface is not limited to the prescription, and may be, for example, a dispensing statement, a data sheet for an electronic medicine notebook, or the like. Further, the two-dimensional code may be one that scans what is displayed on the screen of a receipt computer or other electronic device installed in a pharmacy. Further, the prescription information 4 may be directly transmitted to the terminal 200 by a wireless communication means or other data communication method without using a two-dimensional code.
 D.服薬指導情報選択プロセス
 前記患者情報3および前記処方箋情報4が前記端末200から入力されると、ネットワークNを介してサーバ100へ送信され、前記サーバ100内で服薬指導情報選択部120による服薬指導情報選択プロセスが行われる。この服薬指導情報選択プロセスの詳しい説明は後述する。
D. Medication guidance information selection process When the patient information 3 and the prescription information 4 are input from the terminal 200, they are transmitted to the server 100 via the network N, and the medication guidance information by the medication guidance information selection unit 120 in the server 100. The selection process takes place. A detailed explanation of this medication instruction information selection process will be described later.
 E.服薬指導情報の表示
 前記服薬指導情報選択プロセスの結果、前記患者Pに適する1つ以上の服薬指導情報2が選択される。当該服薬指導情報2は前記端末200の出力部230によって出力され、前記患者Pはそれを視聴する。
E. Display of medication guidance information As a result of the medication guidance information selection process, one or more medication guidance information 2 suitable for the patient P is selected. The medication instruction information 2 is output by the output unit 230 of the terminal 200, and the patient P views it.
 このように、前記調剤薬局において薬剤師が調剤を行う間に、前記端末200を用いて前記患者Pは自らに適した服薬指導情報2を視聴することができる。 In this way, while the pharmacist is dispensing at the dispensing pharmacy, the patient P can view the medication instruction information 2 suitable for himself / herself using the terminal 200.
 図7は本実施の形態における服薬指導情報選択プロセスのフロー図である。
 以下に、順を追ってその工程を説明する。
FIG. 7 is a flow chart of the medication instruction information selection process in the present embodiment.
The process will be described below in order.
 S101.患者情報および処方箋情報の受信
 前記B.患者情報登録プロセスおよびC.処方箋情報登録プロセスにおいて入力された前記患者情報3および前記処方箋情報4を前記サーバ100が受信する。
S101. Receiving patient information and prescription information B. Patient information registration process and C.I. The server 100 receives the patient information 3 and the prescription information 4 input in the prescription information registration process.
 S102.台帳の確認
 前記患者情報3および前記処方箋情報4と、前記サーバ100の台帳160とを比較参照して、前記患者Pが過去に同じ薬剤を処方されたことがあるか否かを確認する。
S102. Confirmation of Ledger It is confirmed whether or not the patient P has been prescribed the same drug in the past by comparing and referring to the patient information 3 and the prescription information 4 and the ledger 160 of the server 100.
 前記患者Pが過去に同じ薬剤を処方されていることが確認された場合、前記患者Pが処方された薬剤についての知識を予め有するものとして扱い、続く服薬指導情報の選択において、例えば説明を簡略化した服薬指導情報2を選択することができる。 If it is confirmed that the patient P has been prescribed the same drug in the past, the patient P is treated as having knowledge about the prescribed drug in advance, and in the subsequent selection of medication instruction information, for example, the explanation is simplified. It is possible to select the modified medication instruction information 2.
 S103.服薬指導情報の選択
 前記サーバ100が受信した前記患者情報3および前記処方箋情報4を入力データとして、前記サーバ100内の服薬指導情報選択モデル112に入力し、適切な服薬指導情報2を1つ以上選択する。
S103. Selection of medication guidance information The patient information 3 and the prescription information 4 received by the server 100 are input to the medication guidance information selection model 112 in the server 100 as input data, and one or more appropriate medication guidance information 2 is input. select.
 このとき、前記処方箋情報4の薬剤情報に複数の薬剤が含まれる場合は、それぞれの薬剤に関する服薬指導情報2が選択される。更に、前記患者情報3の服薬履歴も含めて複数の薬剤を処方されている場合、飲み合わせ、相互作用または禁忌事項についての説明を行う服薬指導情報2も併せて選択することができる。 At this time, if the drug information of the prescription information 4 contains a plurality of drugs, the medication instruction information 2 for each drug is selected. Further, when a plurality of drugs are prescribed including the medication history of the patient information 3, the medication instruction information 2 for explaining the swallowing, interaction or contraindications can also be selected.
 S104.服薬指導情報の送信
 前記ステップS103にて選択された服薬指導情報2は、前記端末200に送信され、前記端末200の映像出力手段231および音声出力手段232を使用して出力し、前記患者Pはこれを視聴する。
S104. Transmission of medication instruction information The medication instruction information 2 selected in step S103 is transmitted to the terminal 200 and output using the video output means 231 and the audio output means 232 of the terminal 200, and the patient P is Watch this.
 図7は服薬指導情報を前記端末の出力部によって出力している状態を示す図である。この図に示すように、前記端末200の映像出力手段231を複数の領域に分割し、中央メインエリア231aに服薬説明動画を、下サブエリア231bに服薬説明文を、左サブエリア231cに薬剤情報を表示しているとともに、前記端末200の音声出力手段232から服薬説明動画の音声が再生されている。 FIG. 7 is a diagram showing a state in which medication instruction information is output by the output unit of the terminal. As shown in this figure, the video output means 231 of the terminal 200 is divided into a plurality of areas, a medication explanation video is in the central main area 231a, a medication explanation is in the lower sub-area 231b, and drug information is in the left sub-area 231c. Is displayed, and the audio of the medication explanation video is being reproduced from the audio output means 232 of the terminal 200.
 薬剤情報は、処方された薬剤の写真および名称を表示することで、視覚的に前記患者Pの手元にある薬剤と服薬指導情報2とを容易に結びつけることができる。 By displaying the photograph and the name of the prescribed drug, the drug information can be visually linked to the drug in the hand of the patient P and the medication instruction information 2.
 このように、服薬する薬剤に関する服薬説明動画、服薬説明文および薬剤情報を一度に表示することで、視聴する前記患者Pは服薬説明動画の映像および音声による説明を受けつつも、服薬説明文によって文字による詳細な情報を複合的に得ることが可能であり、前記患者Pが薬剤師と対面して服薬指導を受ける場合に比べてなんら遜色のない分かりやすさの服薬指導情報を得ることができる。 In this way, by displaying the medication explanation video, the medication explanation, and the drug information about the drug to be taken at once, the patient P to be viewed receives the video and audio explanation of the medication explanation video, but the medication explanation is used. It is possible to obtain detailed textual information in a complex manner, and it is possible to obtain medication instruction information that is as easy to understand as when the patient P receives medication instruction face-to-face with a pharmacist.
 処方された薬剤が複数ある場合、服薬説明動画および服薬説明文はその薬剤ごとに選択されて出力されるが、左サブエリア231cに表示された薬剤情報のうち、該当する前記薬剤をハイライト表示(背景色の変更や点滅などで強調)することによって、現在どの薬剤についての服薬説明動画および服薬説明文が出力されているかが一目して把握できるため特に望ましい。図7において、薬剤情報のうち2番目の薬剤がハイライト表示されているのはその様子を図示したものである。 When there are multiple prescribed drugs, the medication explanation video and the medication explanation are selected and output for each drug, but the corresponding drug is highlighted from the drug information displayed in the left subarea 231c. By emphasizing by changing the background color or blinking, it is especially desirable because it is possible to grasp at a glance which drug the medication explanation video and medication explanation are currently being output. In FIG. 7, the second drug in the drug information is highlighted to illustrate the situation.
 また、服薬説明文として表示される文書のうち、例えば用法・用量や食べ合わせ・飲み合わせ・禁忌事項などの特に注意を要する点については、下線を付す、太字にする、文字色を変えるなどの強調を行うことで、注意点が見落とされるリスクを軽減することができるため特に望ましい。 In addition, among the documents displayed as medication explanations, for example, for points that require special attention such as usage / dose, eating / drinking / contraindications, underline, bold, change the font color, etc. Emphasis is especially desirable as it can reduce the risk of overlooking attention.
 尚、本実施の形態は服薬説明動画、服薬説明文および薬剤情報を併せて前記端末200の出力部230によって出力するものとしているが、服薬説明動画または服薬説明文のうち一方のみを出力するものとしてもよい。 In this embodiment, the medication explanation video, the medication explanation, and the medication information are output together by the output unit 230 of the terminal 200, but only one of the medication explanation video and the medication explanation is output. May be.
 例えば、前記患者Pが子供または高齢であって、複雑な情報を受け取って処理することが難しい場合や、前記端末Pがスマートフォンなどの比較的小型の端末であって、表示領域の都合上、映像出力手段231を複数の領域に分割することが困難な場合には、提供する服薬指導情報2をシンプルにして、服薬説明動画のみを出力部によって出力するものとすることができる。 For example, when the patient P is a child or an elderly person and it is difficult to receive and process complicated information, or when the terminal P is a relatively small terminal such as a smartphone and the image is displayed due to the convenience of the display area. When it is difficult to divide the output means 231 into a plurality of areas, the medication instruction information 2 to be provided can be simplified and only the medication explanation video can be output by the output unit.
 図8は本発明の第2の実施の形態である服薬指導情報提供システム1Bの全体フロー図であり、本実施の形態は前記本発明の第1の実施の形態である服薬指導情報提供システム1Aに対し、AI(人工知能)プログラム112による前記患者Pの理解度推定プロセスを含む点において異なり、理解度推定モデル171を有する理解度推定部170を備えたサーバ100Cを用いる(図9参照)。
 以下に、順を追ってその工程を説明する。
FIG. 8 is an overall flow chart of the medication instruction information providing system 1B which is the second embodiment of the present invention, and the present embodiment is the medication instruction information providing system 1A which is the first embodiment of the present invention. On the other hand, a server 100C having a comprehension estimation unit 170 having an comprehension estimation model 171 is used, which is different in that the comprehension estimation process of the patient P by the AI (artificial intelligence) program 112 is included (see FIG. 9).
The process will be described below in order.
 前記図8のフロー図における工程A~Eについては、前記図5に示した前記服薬指導情報提供システム1Aと同様であるため、説明を省略する。 The steps A to E in the flow chart of FIG. 8 are the same as the medication instruction information providing system 1A shown in FIG. 5, and therefore the description thereof will be omitted.
 F.理解度推定プロセス
 前記患者Pが前記服薬指導情報2を視聴している間の反応を、前記端末200に備えた画像情報取得手段270および前記音声情報取得手段280で観測し、得られた画像データおよび音声データを前記サーバ100Cの理解度推定部170に入力して、理解度推定モデル171により前記患者Pの反応を処理する。
F. Comprehension estimation process The reaction while the patient P is viewing the medication instruction information 2 is observed by the image information acquisition means 270 and the voice information acquisition means 280 provided in the terminal 200, and the obtained image data. And voice data is input to the comprehension estimation unit 170 of the server 100C, and the reaction of the patient P is processed by the comprehension estimation model 171.
 この理解度推定モデル171の学習にあたっては、例えば服薬指導情報2を視聴した人物の反応の画像データおよび音声データを取得して、眉をひそめる、首をひねるなどの所作、あるいは声の大小やトーンまたは抑揚、「わからない」等の発言をした際に理解度が低いものとして関連付けて学習させることが有効と考えられる。 In learning this comprehension estimation model 171, for example, the image data and voice data of the reaction of the person who viewed the medication instruction information 2 are acquired, and the behavior such as frowning or twisting the neck, or the loudness or tone of the voice is obtained. Alternatively, it is considered effective to associate and learn as having a low degree of understanding when making a statement such as intonation or "I don't understand."
 また、理解度の推定を行うにあたっては、患者の表情を認識することで、どのような感情を抱いているかを推測し、安心や喜びの感情を抱いている場合には理解度が高く、反対に不安や驚き、悲しみの感情を抱いている場合には理解度が低いことが推定されることから、従来周知の感情認識AI(エモーショナルAI)の分野における感情認識の技術を利用するものとすることができる。例えば、以下の様にニューラルネットワークによるモデル学習および感情認識を行うものとすることができる。 In addition, when estimating the degree of comprehension, by recognizing the patient's facial expression, it is possible to guess what kind of emotions they have, and if they have feelings of relief or joy, the degree of comprehension is high and they are against it. If you have feelings of anxiety, surprise, or sadness, it is presumed that your understanding is low. Therefore, we will use the emotion recognition technology in the field of emotion recognition AI (emotional AI) that has been well known in the past. be able to. For example, model learning and emotion recognition can be performed by a neural network as follows.
 <1.データ収集・分類>
 人物の表情を撮影した画像データを、顔付近のみを切り抜き、喜び・悲しみ・怒り・驚きの4つの感情に分類してラベル付けして教師データを用意する。
<1. Data collection / classification>
Image data of a person's facial expression is cut out only near the face, classified into four emotions of joy, sadness, anger, and surprise, and labeled to prepare teacher data.
 <2.分類トレーニング>
 前記教師データを学習用モデルに渡して機械学習させる。学習用モデルを構成する特徴抽出レイヤーにおいて画像データから特徴が抽出され、前記特徴が分類レイヤーに渡されて分類される。分類レイヤーにより分類された結果の感情と、教師データにラベル付けされた感情との差異(損失)が小さくなるように、レイヤー間のウェイトが調整される。差異(損失)が十分に小さくなったら、学習が完了して学習済みモデルが生成されたと判断される。
<2. Classification training >
The teacher data is passed to a training model for machine learning. Features are extracted from the image data in the feature extraction layer constituting the training model, and the features are passed to the classification layer and classified. The weights between the layers are adjusted so that the difference (loss) between the emotions as a result classified by the classification layer and the emotions labeled in the teacher data is small. When the difference (loss) is small enough, it is determined that the training is completed and the trained model is generated.
 <3.感情認識>
 前記学習済みモデルが得られたら、人物の表情を撮影した画像データを前記学習済みモデルにより処理することで、最もスコア(信頼度)の高い感情が選択され、当該人物の感情を識別することができる。
<3. Emotion recognition>
Once the trained model is obtained, the emotion with the highest score (reliability) can be selected and the emotion of the person can be identified by processing the image data obtained by capturing the facial expression of the person by the trained model. can.
 <4.輪郭・眉・目・鼻・口の形状による感情認識>
 また、上記分類トレーニングに加えて、人物の顔における輪郭・眉・目・鼻・口にそれぞれいくつかの点を打ち、その点同士の距離や位置によって人物の感情を認識させることも可能である。前記点を打つ処理は、上記特徴抽出レイヤー、あるいは別途用意したレイヤーにおいて行うことができる。例えば、笑顔の場合は怒り顔よりも目の上下の距離が近づいたり、笑顔の場合は怒り顔よりも口角の両端間の距離が離れることを利用することができる。更に、例えば同じ笑顔であってもより口角の両端間の距離が離れている方が喜びの度合いが高いなど、感情のレベルがどの程度であるかも、点同士の距離や位置によって推測することができる。
<4. Emotion recognition based on contour, eyebrows, eyes, nose, and mouth shape>
In addition to the above classification training, it is also possible to make several points on the contour, eyebrows, eyes, nose, and mouth of the person's face, and to recognize the person's emotions by the distance and position between the points. .. The process of striking the points can be performed on the feature extraction layer or a layer prepared separately. For example, in the case of a smile, the distance between the upper and lower eyes is closer than that of an angry face, and in the case of a smile, the distance between both ends of the corner of the mouth is larger than that of an angry face. Furthermore, it is possible to infer the level of emotion, for example, the degree of joy is higher when the distance between both ends of the corner of the mouth is larger than that of the same smile, based on the distance and position between the points. can.
 前記理解度推定モデル171は、予め学習させたモデルを前記サーバ100Cの理解度推定部170に格納するものとしてもよく、前記機械学習部150によって学習するものとしてもよい。 The comprehension estimation model 171 may store the model trained in advance in the comprehension estimation unit 170 of the server 100C, or may be trained by the machine learning unit 150.
 尚、服薬指導情報2を視聴した前記患者Pの反応の画像データおよび音声データを取得して、眉をひそめる、首をひねるなどの所作、あるいは声の大小やトーンまたは抑揚、「わからない」等の発言をした際に理解度が低いものとして関連付けて学習させるものとしてもよい。 It should be noted that the image data and voice data of the reaction of the patient P who viewed the medication instruction information 2 are acquired, and the behavior such as frowning, twisting the neck, or the loudness, tone or intonation of the voice, "I do not understand", etc. When making a statement, it may be associated and learned as having a low degree of understanding.
 前記患者Pの反応を処理した結果、算出された理解度値が所定の値に満ちていない場合は、前記患者Pの理解度が不足していると判定し、反対に算出された理解度値が所定の値を超えている場合は、前記患者Pの理解度が十分であると判定する。 If the calculated comprehension value does not reach a predetermined value as a result of processing the reaction of the patient P, it is determined that the comprehension level of the patient P is insufficient, and conversely the calculated comprehension value. If is more than a predetermined value, it is determined that the degree of understanding of the patient P is sufficient.
 すなわち、本実施の形態の服薬指導情報提供システム1Bにより、前記患者Pに適した服薬指導情報を予め前記患者Pに視聴させて前記患者Pの理解度を推定することによって、その理解度に基づいて薬剤師による対面での服薬指導をスムーズに行うことができ、薬剤師の業務を支援できるという利点を有する。 That is, by using the medication instruction information providing system 1B of the present embodiment, the patient P is made to view the medication instruction information suitable for the patient P in advance, and the comprehension level of the patient P is estimated, based on the comprehension level. It has the advantage that the pharmacist can smoothly give face-to-face medication instruction and support the pharmacist's work.
 より具体的に説明すると、薬剤師は前記患者Pが視聴した服薬指導情報を十分に理解していると推定された場合には、服薬指導を簡略化することが可能であり、薬剤師は前記患者Pが視聴した服薬指導情報を十分に理解していないと推定された場合には、特に理解不足と推定された箇所を重点的に服薬指導を行うことが可能である。 More specifically, if it is presumed that the pharmacist fully understands the medication instruction information viewed by the patient P, the medication instruction can be simplified, and the pharmacist can simplify the medication instruction. If it is presumed that the patient does not fully understand the medication instruction information viewed by the patient, it is possible to give the medication instruction focusing on the part presumed to be insufficiently understood.
 この薬剤師による対面での服薬指導は、どのような患者に対しても行うことができるが、高齢者などに多い対面での服薬指導に安心感を覚える患者などに特に適する。 This pharmacist can provide face-to-face medication guidance to any patient, but it is especially suitable for patients who feel reassured by face-to-face medication guidance, which is common among the elderly.
 また、前記患者Pの理解度が不足していると判定された場合、選択された服薬指導情報の再視聴をさせるか、あるいは選択された服薬指導情報よりも平易な服薬指導情報を再選択して視聴させることができる(図10参照)。 In addition, when it is determined that the degree of understanding of the patient P is insufficient, the selected medication instruction information is re-viewed, or the medication instruction information that is simpler than the selected medication instruction information is reselected. Can be viewed (see FIG. 10).
 特に、前記患者Pの理解度が低いときの反応が特定の箇所において取得された場合、その箇所に関する疑問や不安を解消するための服薬指導情報を再選択して視聴させることができる。 In particular, when the reaction when the degree of understanding of the patient P is low is acquired in a specific place, the medication instruction information for resolving the doubt or anxiety about the place can be reselected and viewed.
 服薬指導情報の再視聴または再選択した服薬指導情報の視聴をさせる際には、例えば自動的に視聴をさせてもよく、音声や画面表示によって前記患者Pに確認を行い、承諾をとった後に視聴をさせるものとしてもよい。 When re-viewing the medication instruction information or viewing the reselected medication instruction information, for example, the patient may be automatically viewed, and after confirming with the patient P by voice or screen display and obtaining consent. It may be used for viewing.
 また、前記患者Pの理解度が十分であると判定された場合、前記患者Pに提供して視聴させる服薬指導情報を、説明を簡略化したり、専門用語を含む説明としたり、食事や運動についての改善などの疾患や薬剤に関する有益な情報としたりすることができる。 In addition, when it is determined that the degree of understanding of the patient P is sufficient, the medication instruction information provided to the patient P for viewing may be simplified, the explanation may include technical terms, or the diet or exercise. It can be useful information about diseases and drugs such as improvement of.
 更に、前記サーバ100Cの台帳160を参照して、前記患者Pにとって処方された薬剤が1回目の処方なのか、2回目以降の処方なのかを判別し、2回目以降の処方である場合は最初から前記患者Pの理解度が十分であると判定するものとしてもよい。 Further, with reference to the ledger 160 of the server 100C, it is determined whether the drug prescribed for the patient P is the first prescription or the second and subsequent prescriptions, and if it is the second and subsequent prescriptions, the first Therefore, it may be determined that the degree of understanding of the patient P is sufficient.
 このように、本実施の形態の服薬指導情報提供システム1Bによれば、理解度推定部170によって推定した前記患者Pの理解度に基づいて薬剤師との対面式または前記端末200を用いた非対面式の服薬指導を可能としたものである。 As described above, according to the medication instruction information providing system 1B of the present embodiment, face-to-face with a pharmacist or non-face-to-face using the terminal 200 based on the comprehension level of the patient P estimated by the comprehension level estimation unit 170. It enables the ceremony of medication instruction.
 図11は本発明の第3の実施の形態である服薬指導情報提供システム1Cの全体フロー図であり、本実施の形態は前記本発明の第2の実施の形態における服薬指導情報提供システム1Bに対し、顔認証プロセスを含む点において異なり、顔認証モデル181を有する顔認証部180を備えたサーバ100Dを用いる(図12参照)。この服薬指導情報提供システム1Cは、前記患者Pが自ら端末を操作することを想定したものである。
 以下に、順を追ってその工程を説明する。
FIG. 11 is an overall flow diagram of the medication instruction information providing system 1C according to the third embodiment of the present invention, and the present embodiment is the medication instruction information providing system 1B according to the second embodiment of the present invention. On the other hand, a server 100D having a face recognition unit 180 having a face recognition model 181 is used, which is different in that it includes a face recognition process (see FIG. 12). The medication instruction information providing system 1C assumes that the patient P operates the terminal by himself / herself.
The process will be described below in order.
 A.医療機関受診
 まず、患者Pは病院等の医療機関を受診する。診察の結果、必要と診断された薬剤が処方され、処方箋が発行される。
A. Visiting a medical institution First, patient P visits a medical institution such as a hospital. As a result of the examination, the drug diagnosed as necessary is prescribed and a prescription is issued.
 B1.顔認証プロセス
 前記端末200の画像情報取得手段270によって前記患者Pの顔を撮影し、前記撮影した情報をサーバ100Dの顔認証部180によって処理し、予め登録された患者Pであるか否かを判定する。より詳細に説明すると、人物の顔を撮影した写真を入力データとして学習させた顔認証モデル(学習済みモデル113)を用い、前記撮影した情報のうち前記人物の目・鼻・口・顎がともに撮影された画像を前記顔認証モデル181に適合させ、一致度が所定の閾値を超えた場合に、前記人物が予め登録された前記患者Pであると判定する。
B1. Face authentication process The face of the patient P is photographed by the image information acquisition means 270 of the terminal 200, the photographed information is processed by the face authentication unit 180 of the server 100D, and whether or not the patient P is registered in advance is determined. judge. More specifically, using a face authentication model (learned model 113) trained using a photograph of a person's face as input data, the eyes, nose, mouth, and jaw of the person are all included in the photographed information. The captured image is adapted to the face recognition model 181 and when the degree of matching exceeds a predetermined threshold, it is determined that the person is the pre-registered patient P.
 この顔認証モデル181の学習にあたっては、不特定多数の人物の目・鼻・口・顎がともに撮影された画像を教師データとして学習させることが有効と考えられる。 In learning this face recognition model 181, it is considered effective to learn the images of the eyes, nose, mouth, and chin of an unspecified number of people as teacher data.
 前記顔認証モデル181は、予め学習させたモデルを前記サーバ100の顔認証部180に格納するものとしてもよく、前記機械学習部150によって学習するものとしてもよい。 The face recognition model 181 may store the model trained in advance in the face recognition unit 180 of the server 100, or may be learned by the machine learning unit 150.
 このとき、前記一致度が所定の閾値を超えない場合は、前記人物が予め登録された前記患者Pではないと判定され、次の患者情報登録プロセスへ進む。 At this time, if the degree of coincidence does not exceed a predetermined threshold value, it is determined that the person is not the patient P registered in advance, and the process proceeds to the next patient information registration process.
 B2.患者情報登録プロセス
 未登録である前記患者Pは、前記端末200の専用アプリケーション212を用いて、必要な患者情報3を入力する。このとき、入力フォームを用いた任意の入力をさせてもよく、動画や自動音声などを用いた対話形式によって1項目毎に入力をさせてもよい。
B2. Patient information registration process The unregistered patient P inputs necessary patient information 3 using the dedicated application 212 of the terminal 200. At this time, arbitrary input may be performed using the input form, or input may be performed for each item in an interactive format using a moving image, automatic voice, or the like.
 C.処方箋情報登録プロセス
 続けて、前記患者Pは、前記端末200の専用アプリケーション212を用いて、紙面である前記処方箋に表示された2次元コードをスキャンして処方箋情報4を入力する。
C. Prescription information registration process Subsequently, the patient P uses the dedicated application 212 of the terminal 200 to scan the two-dimensional code displayed on the prescription on paper and input the prescription information 4.
 D.服薬指導情報選択プロセス
 前記患者情報3および前記処方箋情報4が前記端末200から入力されると、ネットワークNを介してサーバ100Dへ送信され、前記サーバ100D内で服薬指導情報選択部120による服薬指導情報選択プロセスが行われる。この服薬指導情報選択プロセスの詳しい説明は前述した通りである。
D. Medication guidance information selection process When the patient information 3 and the prescription information 4 are input from the terminal 200, they are transmitted to the server 100D via the network N, and the medication guidance information by the medication guidance information selection unit 120 in the server 100D. The selection process takes place. The detailed explanation of this medication instruction information selection process is as described above.
 E.服薬指導情報の表示
 前記服薬指導情報選択プロセスの結果、前記患者Pに適する1つ以上の服薬指導情報2が選択される。当該服薬指導情報2は前記端末200の出力部230によって出力され、前記患者Pはそれを視聴する。
E. Display of medication guidance information As a result of the medication guidance information selection process, one or more medication guidance information 2 suitable for the patient P is selected. The medication instruction information 2 is output by the output unit 230 of the terminal 200, and the patient P views it.
 このように、本実施の形態の服薬指導情報提供システム1Cによれば、顔認証プロセスを導入することによって前記患者Pの顔を撮影するだけで自動的に認証が行われるため、入力の手間を省くことが出来るとともにセキュリティの向上も図ることができる。 As described above, according to the medication instruction information providing system 1C of the present embodiment, by introducing the face authentication process, authentication is automatically performed only by taking a picture of the face of the patient P, so that it takes time and effort for input. It can be omitted and security can be improved.
 尚、本発明の各実施の形態に示した服薬指導情報提供システムは、前記端末200にインストールされている前記専用アプリケーション212を使用するものとして説明したが、例えばネットワークNを介してアクセスするクラウド上で稼働するソフトウェア(SaaS)等を使用するものや、ネットワークNを介してアクセスする前記サーバ上で稼働しているものとしてもよい。 Although the medication instruction information providing system shown in each embodiment of the present invention has been described as using the dedicated application 212 installed in the terminal 200, for example, on a cloud accessed via a network N. It may be one that uses software (Software as a Service) or the like that runs on the server, or one that runs on the server that is accessed via the network N.
 その場合、前記サーバのリソースを使用することができるため前記端末200の処理能力や記憶容量が乏しい場合であっても軽快に使用することができる利点を有する。 In that case, since the resources of the server can be used, there is an advantage that the terminal 200 can be used lightly even when the processing capacity and the storage capacity of the terminal 200 are poor.
 尚、本発明の各実施の形態に示した服薬指導情報提供システムは、処方箋に基づき調剤を行う調剤薬局に備えた端末を用いるものであるが、患者自身が所有するスマートフォンやタブレットなどを端末として用いるものとしてもよい。 The medication instruction information providing system shown in each embodiment of the present invention uses a terminal provided in a dispensing pharmacy that dispenses based on a prescription, but a smartphone or tablet owned by the patient is used as the terminal. It may be used.
 その場合、前記患者Pは自らの自宅で服薬を行う際に、処方された薬剤に関する服薬指導情報を得ることができるため、時間と場所を問わずに使用することができる利点を有する。 In that case, the patient P has the advantage that he / she can use it at any time and place because he / she can obtain medication instruction information regarding the prescribed drug when he / she takes the drug at his / her own home.
 1A,1B,1C 服薬指導情報提供システム、2 服薬指導情報、3 患者情報、4 処方箋情報、100,100C,100D サーバ、100A メインサーバ、100B 服薬指導情報サーバ、110 服薬指導情報格納部、120 服薬指導情報選択部、121 服薬指導情報選択モデル、130 通信部、140 演算部、141 CPU、142 メモリ、150 機械学習部、160 台帳、170 理解度推定部、171 理解度推定モデル、180 顔認証部、181 顔認証モデル、200 端末、201 前面、210 記憶部、211 記憶媒体、212 専用アプリケーション、220 演算部、221 CPU、222 メモリ、230 出力部、231 映像出力手段、231a 中央メインエリア、231b 下サブエリア、231c 左サブエリア、232 音声出力手段、240 通信部、241 無線通信手段、250 入力部、251 入力手段、260 電源部、261 バッテリー、270 画像情報取得手段、280 音声情報取得手段、290 台帳、N ネットワーク、P 患者 1A, 1B, 1C medication guidance information provision system, 2 medication guidance information, 3 patient information, 4 prescription information, 100, 100C, 100D server, 100A main server, 100B medication guidance information server, 110 medication guidance information storage unit, 120 medication Guidance information selection unit, 121 medication guidance information selection model, 130 communication unit, 140 calculation unit, 141 CPU, 142 memory, 150 machine learning unit, 160 ledger, 170 comprehension estimation unit, 171 comprehension estimation model, 180 face authentication unit , 181 face authentication model, 200 terminal, 201 front, 210 storage unit, 211 storage medium, 212 dedicated application, 220 arithmetic unit, 221 CPU, 222 memory, 230 output unit, 231 video output means, 231a central main area, 231b bottom Sub area, 231c Left sub area, 232 Audio output means, 240 communication unit, 241 wireless communication means, 250 input unit, 251 input means, 260 power supply unit, 261 battery, 270 image information acquisition means, 280 audio information acquisition means, 290 Ledger, N network, P patient

Claims (13)

  1.  サーバおよび端末からなる、患者に服薬指導情報を提供するための服薬指導情報提供システムであって、
     前記サーバは、
      服薬指導情報を格納した服薬指導情報格納部と、
      前記患者に関する患者情報と前記患者が受け取った処方箋に関する処方箋情報とを組み合わせて入力することで前記服薬指導情報から前記患者に適するものを1つ以上選択する服薬指導情報選択モデルを有する服薬指導情報選択部と、を備え、
     前記端末は、
      前記サーバに前記患者情報および前記処方箋情報を送信するとともに前記服薬指導情報を受信するための通信部と、
      選択された前記服薬指導情報を出力する出力部と、を備え、
     前記服薬指導情報は、以下のaまたはbの群のうち少なくとも一方であることを特徴とする服薬指導情報提供システム。
      a.各薬剤の種類,用法,用量,飲み合わせ,相互作用または禁忌事項のうち少なくとも1つを説明する文書群であって、同一の薬剤について1種類以上の説明文を備える文書群。
      b.各薬剤の種類,用法,用量,飲み合わせ,相互作用または禁忌事項のうち少なくとも1つを説明する動画群であって、同一の薬剤について1種類以上の説明動画を備える動画群。
    It is a medication guidance information provision system for providing medication guidance information to patients, consisting of a server and a terminal.
    The server
    The medication guidance information storage unit that stores medication guidance information,
    Medication guidance information selection having a medication guidance information selection model for selecting one or more suitable for the patient from the medication guidance information by inputting a combination of patient information regarding the patient and prescription information regarding the prescription received by the patient. With a department,
    The terminal is
    A communication unit for transmitting the patient information and the prescription information to the server and receiving the medication instruction information.
    It is equipped with an output unit that outputs the selected medication instruction information.
    The medication instruction information providing system is characterized in that the medication instruction information is at least one of the following groups a or b.
    a. A group of documents explaining at least one of the type, usage, dose, swallowing, interaction or contraindications of each drug, with one or more explanatory texts for the same drug.
    b. A video group that explains at least one of the type, usage, dose, swallowing, interaction, or contraindication of each drug, and includes one or more explanation videos for the same drug.
  2.  前記端末の出力部によって前記説明文および前記説明動画を同時に出力することを特徴とする請求項1記載の服薬指導情報提供システム。 The medication instruction information providing system according to claim 1, wherein the explanatory text and the explanatory video are simultaneously output by the output unit of the terminal.
  3.  前記サーバが、不特定多数の人物の患者情報と前記人物の処方箋に関する処方箋情報を入力データ、服薬指導情報を出力データとして学習させることで前記服薬指導情報選択モデルを生成する機械学習部を備える、
     ことを特徴とする請求項1または2記載の服薬指導情報提供システム。
    The server includes a machine learning unit that generates the medication instruction information selection model by learning patient information of an unspecified number of persons and prescription information related to the prescription of the person as input data and medication instruction information as output data.
    The medication instruction information providing system according to claim 1 or 2, characterized in that.
  4.  前記サーバが、前記服薬指導情報を視聴した人物の反応に関する画像データまたは音声データを入力データ、数値化した前記人物の理解度を出力データとして機械学習させた理解度推定モデルを用いて前記患者の理解度を推定する理解度推定部を備えているとともに、
     前記端末が、画像情報取得手段および音声情報取得手段を備えており、
     前記服薬指導情報を視聴している間の前記患者の反応を前記画像情報取得手段および前記音声情報取得手段のうち少なくとも一方で観測し、得られた画像データまたは音声データを前記理解度推定部により処理することにより前記患者の理解度を推定する、
     ことを特徴とする請求項1,2または3記載の服薬指導情報提供システム。
    The server uses an comprehension estimation model in which image data or voice data relating to the reaction of a person who has viewed the medication instruction information is machine-learned as input data and the digitized comprehension of the person as output data. It has an comprehension estimation unit that estimates comprehension, and also has an comprehension estimation unit.
    The terminal is provided with an image information acquisition means and an audio information acquisition means.
    The reaction of the patient while viewing the medication instruction information is observed by at least one of the image information acquisition means and the voice information acquisition means, and the obtained image data or voice data is obtained by the comprehension estimation unit. Estimate the comprehension of the patient by processing,
    The medication instruction information providing system according to claim 1, 2, or 3.
  5.  前記理解度推定部により推定した患者の理解度が表示され、
     表示された前記患者の理解度に基づいて薬剤師が前記患者と対面して服薬指導を行う、
     ことを特徴とする請求項4記載の服薬指導情報提供システム。
    The patient's comprehension level estimated by the comprehension level estimation unit is displayed.
    Based on the displayed level of understanding of the patient, the pharmacist will face the patient and give medication guidance.
    The medication instruction information providing system according to claim 4.
  6.  前記理解度推定部により推定した患者の理解度に基づいて前記服薬指導情報を再度選択する、
     ことを特徴とする請求項4記載の服薬指導情報提供システム。
    The medication instruction information is selected again based on the patient's comprehension level estimated by the comprehension level estimation unit.
    The medication instruction information providing system according to claim 4.
  7.  前記端末が画像情報取得手段を備え、
     前記処方箋情報が、紙面上または画面上に表示された二次元コードを前記画像情報取得手段により読み取ることによって前記サーバへ送信される、
     ことを特徴とする請求項1,2,3,4,5または6記載の服薬指導情報提供システム。
    The terminal is provided with an image information acquisition means.
    The prescription information is transmitted to the server by reading the two-dimensional code displayed on the paper or the screen by the image information acquisition means.
    The medication instruction information providing system according to claim 1, 2, 3, 4, 5 or 6.
  8.  前記処方箋情報に含まれる薬剤が複数であり、前記服薬指導情報として前記複数の薬剤に関係する飲み合わせ,相互作用または禁忌事項の説明文または前記複数の薬剤に関係する飲み合わせ,相互作用または禁忌事項の説明動画のうち少なくとも一方を選択する、
     ことを特徴とする請求項1,2,3,4,5,6または7記載の服薬指導情報提供システム。
    There are a plurality of drugs included in the prescription information, and as the medication instruction information, the swallowing, interaction or contraindication related to the plurality of drugs or the explanation of the swallowing, interaction or contraindications related to the plurality of drugs or the swallowing, interaction or contraindication related to the plurality of drugs. Select at least one of the explanation videos,
    The medication instruction information providing system according to claim 1, 2, 3, 4, 5, 6 or 7.
  9.  前記サーバが前記服薬指導情報,前記患者情報および前記処方箋情報に関するデータを記録する台帳を有しており、
     ブロックチェーン技術によって前記台帳は前記サーバおよび前記端末間で共有されている、
     ことを特徴とする請求項1,2,3,4,5,6,7または8記載の服薬指導情報提供システム。
    The server has a ledger for recording data related to the medication instruction information, the patient information, and the prescription information.
    The ledger is shared between the server and the terminal by blockchain technology.
    The medication instruction information providing system according to claim 1, 2, 3, 4, 5, 6, 7 or 8.
  10.  前記患者情報が、必須構成群として、氏名・性別・生年月日を含み、更に追加構成群として、患者ID,顔画像,保険情報,身長,体重,既往歴,服薬履歴,アレルギー情報,バイタル情報,疾病関連情報,妊娠の有無,生活習慣,食事情報,運動能力のうち1つ以上を選択して構成することができる、
     ことを特徴とする請求項1,2,3,4,5,6,7,8または9記載の服薬指導情報提供システム。
    The patient information includes name, gender, and date of birth as essential constituent groups, and further includes patient ID, facial image, insurance information, height, weight, medical history, medication history, allergy information, and vital information as additional constituent groups. , Disease-related information, presence or absence of pregnancy, lifestyle, dietary information, and athletic ability can be selected and configured.
    The medication instruction information providing system according to claim 1, 2, 3, 4, 5, 6, 7, 8 or 9.
  11.  前記患者情報が顔画像を含むとともに前記端末が画像情報取得手段を有しており、
     前記画像情報取得手段によって前記患者の顔を撮影し、当該撮影した顔画像と前記患者情報内の顔画像を用いた顔認証を行った後に前記服薬指導情報の選択が行われる、
     ことを特徴とする請求項1,2,3,4,5,6,7,8,9または10記載の服薬指導情報提供システム。
    The patient information includes a face image, and the terminal has an image information acquisition means.
    The face of the patient is photographed by the image information acquisition means, face recognition is performed using the photographed face image and the face image in the patient information, and then the medication instruction information is selected.
    The medication instruction information providing system according to claim 1, 2, 3, 4, 5, 6, 7, 8, 9 or 10.
  12.  前記サーバが複数であり、前記服薬指導情報選択部を有し前記服薬指導情報の選択を行うメインサーバと、前記服薬指導情報格納部を有し前記服薬指導情報を送信する服薬指導情報サーバとからなる、
     ことを特徴とする請求項1,2,3,4,5,6,7,8,9,10または11記載の服薬指導情報提供システム。
    From a main server having a plurality of the medication instruction information selection units and selecting the medication instruction information, and a medication instruction information server having the medication instruction information storage unit and transmitting the medication instruction information. Become,
    The medication instruction information providing system according to claim 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 or 11.
  13.  患者に服薬指導情報を提供するための服薬指導情報提供プログラムであって、
     前記服薬指導情報は、薬剤の種類,用法,用量,飲み合わせ,相互作用または禁忌事項のうち少なくとも1つを説明する説明文または説明動画であり、
     不特定多数の人物の患者情報と前記人物の処方箋に関する処方箋情報を入力、服薬指導情報を出力として学習させた学習済みモデルに、前記患者に関する患者情報および前記患者が受け取った処方箋に関する処方箋情報を入力し、適する前記服薬指導情報を1つ以上出力する処理をコンピュータに実行させるプログラム。
    It is a medication guidance information provision program for providing medication guidance information to patients.
    The medication instruction information is an explanatory text or an explanatory video explaining at least one of a drug type, usage, dose, swallowing, interaction or contraindication.
    Input patient information about the patient and prescription information about the prescription received by the patient into a trained model trained by inputting patient information about an unspecified number of people and prescription information about the prescription of the person and outputting medication instruction information as output. A program that causes a computer to execute a process of outputting one or more suitable medication instruction information.
PCT/JP2020/046403 2020-12-11 2020-12-11 Drug administration guidance information providing system and drug administration guidance information providing program WO2022123790A1 (en)

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003223510A (en) * 2002-01-29 2003-08-08 Higashi Nihon Medicom Kk Taking medicine instructions and system for creating taking medicine instructions
JP2007026254A (en) * 2005-07-20 2007-02-01 Seiko Epson Corp Terminal device, mobile communication terminal, dosing management system, and dosing managing method of terminal device and program thereof
KR20200025756A (en) * 2018-08-31 2020-03-10 주식회사 모노라마 Apparatus and method for providing customized medication information to patednts based on big data
JP2020042758A (en) * 2018-09-06 2020-03-19 Phcホールディングス株式会社 Device and method for supporting guidance of medication

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003223510A (en) * 2002-01-29 2003-08-08 Higashi Nihon Medicom Kk Taking medicine instructions and system for creating taking medicine instructions
JP2007026254A (en) * 2005-07-20 2007-02-01 Seiko Epson Corp Terminal device, mobile communication terminal, dosing management system, and dosing managing method of terminal device and program thereof
KR20200025756A (en) * 2018-08-31 2020-03-10 주식회사 모노라마 Apparatus and method for providing customized medication information to patednts based on big data
JP2020042758A (en) * 2018-09-06 2020-03-19 Phcホールディングス株式会社 Device and method for supporting guidance of medication

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