JP2017221245A - Information processing device, information processing method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information processing device which is capable of determining an appropriate dosage with psychological effects being eliminated.SOLUTION: The information processing device determines a prescription pattern in which dosages of drugs per dose are randomly varied according to a dosage volume change pattern. As an example, it would be possible to apply the present technology to an information processing device, etc., which determines a dosage when a doctor prescribes a drug to a patient.SELECTED DRAWING: Figure 1

Description

  The present technology relates to an information processing device, an information processing method, and a program, and more particularly, to an information processing device, an information processing method, and a program that can determine an appropriate dose without psychological influence.

  Generally, the dose when a patient takes a drug is determined based on information such as weight and age, and symptoms and biological data. However, for drugs that are affected by psychological factors, such as sleeping pills and anxiolytics, the patient's perception that the dosage has been changed affects the strength of the placebo effect, so the dosage changes. The change of the placebo and the change of the placebo effect could not be separated, and the appropriate dose could not be determined.

  As a means for eliminating a psychological influence such as a placebo effect, there is generally a double-blind test technique. For example, as in the technique disclosed in Patent Document 1, it is used for confirming a difference in effect due to drug selection. There is an example where the double blind test method is used.

Japanese Patent Laid-Open No. 2002-95641

  However, Patent Document 1 does not disclose the determination of an appropriate amount of a certain drug.

  The present technology has been made in view of such a situation, and makes it possible to determine an appropriate dosage without psychological influence.

  The information processing apparatus according to the first aspect of the present technology includes a prescription pattern determination unit that determines a prescription pattern in which the dosage of a dosage unit is randomly changed according to the volume change pattern of the dosage.

  In the information processing method according to the first aspect of the present technology, the information processing apparatus determines a prescription pattern in which the dose of a dose unit is randomly changed according to the dose change pattern of the dose.

  A program according to a first aspect of the present technology is a program for causing a computer to function as a prescription pattern determining unit that determines a prescription pattern in which a dosage of a dosage unit is randomly changed according to a dose change pattern of a dosage. It is.

  In the first aspect of the present technology, a prescription pattern is determined in which the dosage of a dosage unit is randomly changed according to the volume change pattern of the dosage.

  The information processing apparatus according to the second aspect of the present technology includes: a prescription pattern acquisition unit that acquires a type of medicine to be taken and a prescription pattern in which a dosage amount of a dosage unit is randomly changed; the type of medicine and the prescription And a medication instruction unit for instructing the patient to take medication based on the medication pattern information acquired based on the pattern.

  In the information processing method according to the second aspect of the present technology, the information processing apparatus acquires the type of medicine to be taken and a prescription pattern in which the dosage of the dosage unit is randomly changed, and the kind of the medicine and the prescription The patient is instructed to take medication based on the medication pattern information acquired based on the pattern.

  The program according to the second aspect of the present technology includes a computer, a prescription pattern acquisition unit that acquires a type of a medicine to be taken and a prescription pattern in which a dosage amount of a dose unit is randomly changed, the type of the medicine, It is for functioning as a medication information instruction unit for instructing the patient to take medication based on the medication pattern information acquired based on the prescription pattern.

  In the second aspect of the present technology, the type of medicine to be taken and the prescription pattern in which the dosage of the dosage unit is randomly changed are acquired, and acquired based on the type of the medicine and the prescription pattern. The patient is instructed to take the medication based on the medication pattern information.

  In addition to drugs for disease treatment, the above drugs include supplements for beauty or health (dietary supplements), insurance functional foods, foods for specified health use, nutritional functional foods, functional labeling foods, health foods, etc. Ingredients (substances) of food that are expected to have a certain effect when eating or drinking are also included.

  When a drug represents a component (substance) of a food that is expected to have a certain effect when eating or drinking a supplement or an insurance functional food, the above dose is the content of the component (substance) that provides a certain effect Represents.

  The volume change pattern is a pattern (type) representing a tendency of volume change, such as increasing or decreasing the dose to be administered to a patient. The prescription pattern is a prescription pattern (type) in which the upper limit value and the lower limit value of the dose are determined according to the volume change pattern with respect to the elapsed period from the start date of administration. The medication pattern information is information regarding when the patient should take the medicine.

  The program can be provided by being transmitted through a transmission medium or by being recorded on a recording medium.

  The information processing apparatus may be an independent apparatus, or may be an internal block constituting one apparatus.

  According to the first and second aspects of the present technology, it is possible to determine an appropriate dose that excludes psychological effects.

  Note that the effects described here are not necessarily limited, and may be any of the effects described in the present disclosure.

It is a block diagram showing an example of composition of an information processing system to which this art is applied. It is a figure which shows the example of random prescription pattern DB. It is a figure which shows the example of prescription DB. It is a figure which shows the example of dosage amount DB. It is a figure which shows the example of medication pattern DB. It is a figure which shows the example of question content DB. It is a figure which shows the example of a medication condition DB. It is a flowchart explaining the 1st process until a patient receives prescription. It is a figure which shows the example of the dosage of prescription pattern "A1". It is a figure which shows the example of the chemical | medical agent sheet of a tablet. It is a flowchart explaining the 2nd processing until a patient receives prescription. It is a conceptual diagram of the chemical | medical agent produced with the packaging machine. It is a flowchart explaining the process during a medication period. It is a flowchart explaining the process during a medication period. It is a figure which shows the example of a screen of a medication instruction | indication. It is a figure which shows the example of a screen of a medication instruction | indication. It is a figure which shows the example of a questionnaire screen. It is a flowchart explaining the process after the medication period end. It is a figure which shows the example of a correlation result which represented the correlation with the dosage and the sleep time which are contained in the medicine of a taking unit with the scatter diagram. It is a figure which shows the example of a correlation result which represented the correlation with the dose contained in the medicine of a taking unit, and a sleep sleep latency with the scatter diagram. It is a figure which shows the correlation result example which represented the correlation with the dosage amount contained in the medicine of a taking unit, and sleep subjective evaluation with the scatter diagram. It is a figure which shows the example of a correlation result which represented the correlation with the dosage contained in the medicine of a taking unit, and a side effect subjective evaluation with the scatter diagram. It is a figure which shows the example of a correlation result of the dosage and the sleep time which are contained in the medicine of a taking unit. It is a figure which shows the example of a correlation result with the dose contained in the medicine of a taking unit, and sleep latency. It is a figure which shows the example of a correlation result with the dose contained in the medicine of a taking unit, and a side effect subjective evaluation. It is a figure which shows the example of the dosage of prescription pattern "B1". It is a figure which shows the example of a correlation result of the dosage and the sleep time which are contained in the medicine of a taking unit. It is a figure which shows the example of a correlation result with the dose contained in the medicine of a taking unit, and a side effect subjective evaluation. It is a figure which shows the example of a correlation result of the dosage and the sleep time which are contained in the medicine of a taking unit. It is a figure which shows the example of a correlation result with the dose contained in the medicine of a taking unit, and a side effect subjective evaluation. It is a figure which shows the example of the message screen of dosing switching. It is a functional block diagram of doctor PC. It is a functional block diagram of a smart phone. It is a block diagram which shows the hardware constitutions of the information processing apparatus which concerns on embodiment of this indication.

Hereinafter, modes for carrying out the present technology (hereinafter referred to as embodiments) will be described. The description will be given in the following order.
1. 1. Configuration example of information processing system Flow chart until patient receives prescription (1)
3. Flow chart until patient receives prescription (2)
4). 4. Flow chart during medication period Flow chart after the period of medication 6. 6. Correlation result display example 7. An example of a prescription pattern that gradually reduces the dose Functional block diagram 9. Hardware configuration10. Supplement

<1. Configuration example of information processing system>
FIG. 1 shows a configuration example of an information processing system to which the present technology is applied.

  The information processing system 1 in FIG. 1 is a system that supports the determination of an appropriate dose when a doctor prescribes a drug to a patient.

  This embodiment demonstrates the example which prescribes a sleeping pill (it is also called a sleep induction agent) as a medicine which a doctor prescribes to a patient. However, the technology of the present disclosure is not applied only to sleeping pills.

  The information processing system 1 includes a smartphone 11 operated by a patient, a wristband 12 which is a sensor device for acquiring biological information of the patient, a PC 13 operated by a pharmacist at a pharmacy, and a PC 14 operated by a doctor in a clinic. In the following description, in order to facilitate the distinction, the PC 13 operated by the pharmacist in the pharmacy is referred to as the pharmacy PC 13 and the PC 14 operated by the doctor in the clinic is referred to as the doctor PC 14.

  The smartphone 11, the pharmacy PC 13, and the doctor PC 14 are connected to each other via a network 15, such as the Internet, a telephone line network, a satellite communication network, a LAN (Local Area Network), and a WAN (Wide Area Network).

  The smartphone 11 is an example of an information processing apparatus used by a patient. The smartphone 11 is not limited to the smartphone 11 and performs the same processing as the smartphone 11 according to the present embodiment as long as the information processing apparatus is a tablet terminal or a PC. be able to. The same applies to the pharmacy PC 13 and the doctor PC 14. The pharmacy PC 13 and the doctor PC 14 are examples of information processing apparatuses that perform predetermined information processing. A tablet terminal or a smartphone may be used instead of the pharmacy PC 13 or the doctor PC 14. Good.

  The wristband 12 uses, for example, short-range wireless communication such as NFC (Near Field Communication) communication, infrared communication, Bluetooth (registered trademark), and wireless LAN (Local Area Network) to transmit sensor signals and control signals to the smartphone 11. Communicate between. The wristband 12 and the smartphone 11 may be an integrated device having both functions.

  In addition, the information processing system 1 includes a random prescription pattern DB21, a prescription DB22, a dosage DB23, and a medication pattern DB24 as databases (DB server devices) that store information necessary for each of the smartphone 11, the pharmacy PC13, and the doctor PC14. And a question content DB 25 and a medication status DB 26. The random prescription pattern DB 21, prescription DB 22, dosage DB 23, dosing pattern DB 24, question content DB 25, and medication status DB 26 may be physically configured by one DB server device, or a plurality of DB servers The apparatus may be divided into devices.

  The patient executes a medication management program for managing the medication prescribed by the doctor on the smartphone 11 and inputs information related to medication and information related to the physical condition after medication based on instructions of the medication management program.

  The smartphone 11 on which the medication management program is executed acquires information related to medication and information related to physical condition after medication, and transmits the information to a predetermined database.

  The wristband 12 includes a pulse wave sensor 31 and an acceleration sensor 32 as biological sensors, and transmits sensor signals detected by these biological sensors to the smartphone 11 by short-range wireless communication. The wristband 12 is attached to, for example, a patient's wrist, the pulse wave sensor 31 outputs a pulse wave signal as a sensor signal, and the acceleration sensor 32 is a triaxial acceleration in each of the X axis, Y axis, and Z axis directions. Is output as a sensor signal.

  The smartphone 11 acquires the sensor signal transmitted from the wristband 12 and calculates the patient's biological information. In this embodiment, since the prescribed medicine is a sleeping pill, the smartphone 11 uses the sensor signal transmitted from the wristband 12 as the patient's biological information to determine the sleep time, the sleep latency, and the number of mid-wakefulness. calculate.

  As a technique for calculating the sleep time, the sleep onset latency, and the number of mid-wakefulness from the acceleration data and the pulse data, a known technique can be used, but the pulse rate is measured by the pulse wave sensor 31 to increase or decrease the pulse. From the combination of the human activity type determined by the pattern and the acceleration, it is possible to determine whether or not the patient is in a sleep state, and to calculate the sleep onset latency, the wake-up time, and the number of midway awakenings.

  In addition, it is good also as a structure which the wristband 12 calculates a sleep time, a sleep fall time, and the number of times of awakening from the detected acceleration data and pulse data, and transmits to the smart phone 11.

  The biological sensor included in the wristband 12 may be either the pulse wave sensor 31 or the acceleration sensor 32, or may include other sensors. For example, a sweat sensor that measures the amount of mental sweat may be provided as a biosensor. The sweat sensor is useful in confirming the effect of taking an anxiolytic drug. By measuring the mental sweat pattern, it is possible to estimate a tense time zone, and to determine the medicinal effect with a decrease in the amount of sweat. In addition, for example, a blood flow rate (blood flow) sensor may be provided as a biological sensor. From changes in the peripheral blood flow velocity, information on the tension state can be obtained as in the case of mental sweating. Moreover, the detected change in the peripheral blood flow rate can be contributed to the high accuracy of the sleep determination.

  The pharmacist executes the prescription information registration program on the pharmacy PC 13 and inputs information about the medicine described in the prescription based on the instructions of the prescription information registration program.

  The pharmacy PC 13 in which the prescription information registration program has been executed transmits information about the amount of the prescription prescribed by the doctor to the prescription DB 22 for registration.

  The doctor PC 14 stores a prescription creation program for creating a prescription and a correlation calculation program for calculating the correlation between the effect and side effect of the medicine taken and the dose, and these programs are executed as necessary. The Note that the prescription creation program and the correlation calculation program of the present embodiment may be incorporated as part of another program such as an electronic medical record creation program, or may be an independent program.

  The doctor PC 14 in which the prescription creation program is executed acquires prescription information of the medicine input by the doctor and transmits it to a predetermined database.

  The doctor PC 14 that has executed the correlation calculation program calculates the effect of the drug taken by the patient and the correlation between the side effect and the drug amount, and displays the correlation on the display. The doctor refers to the correlation between the drug effect and the side effect and the drug amount displayed on the display of the doctor PC 14, and determines the drug dose appropriate for the patient.

  FIG. 2 shows a data example of the random prescription pattern DB 21.

  The random prescription pattern DB 21 is a database that stores a prescription pattern of a drug corresponding to information such as a drug and a capacity change pattern.

  The drug name represents the name of the drug (type of drug). The volume change pattern is a pattern representing a tendency of volume change such as increasing or decreasing the dose to be administered to a patient. The volume change pattern includes “beginning of drinking”, “drug reduction”, “discontinuation”, “dose readjustment”, and the like. “Drinking first” is a kind of prescription pattern that gradually increases the dosage, and “decreasing drug” and “discontinuation” are one kind of prescription pattern that gradually decreases the dosage. The prescription pattern is a pattern that specifically determines how to change the dose according to the volume change pattern with respect to the elapsed period from the medication start date. Here, an example in which the upper limit value and lower limit value of the dose to be randomly changed is changed as a parameter will be described.

  With reference to the random prescription pattern DB 21, the prescription pattern can be determined when the drug, volume change pattern, age, sex, and weight information are determined. In the example of FIG. 2, the prescription pattern includes “A1”, “B1”, “C1”, “D1”, etc. for the drug “X”, and “A1”, “B1”, “C1” for the drug “Y”. ”And“ D1 ”. For the determination of the prescription pattern, it is essential to specify the medicine and the volume change pattern, but the age, sex, and weight can be omitted.

  FIG. 3 shows an example of data in the prescription DB 22.

  The prescription DB 22 is a database that stores a dose amount (during one dose) corresponding to the prescription ID as prescription identification information for identifying a prescription for the number of doses.

  In the example of FIG. 3, for each prescription ID, the dose of a predetermined medicine contained in each package of n number of times of packaging numbers 1 to n is stored. In addition, although this embodiment describes and describes as a sachet, there are tablets, capsules, liquids, powders, and the like as drug forms, and the form of the drug is not limited.

  FIG. 4 shows a data example of the dose DB 23.

  The dose DB 23 is a database that stores doses randomly determined within the range determined by the prescription pattern according to the drug and the prescription pattern.

  In the example of FIG. 4, a plurality of types of drug sheets are defined for combinations of drug names and prescription patterns. For each sheet unique ID that identifies each drug sheet, the package number 1 included in the drug sheet The drug doses of n drugs from package number n to n are stored. For example, when 100 types of drug sheets are prepared in advance for a combination of one drug name and a prescription pattern, for each of the 100 drug sheets, n drugs included in the drug sheet The dose is stored. Even in the same prescription pattern, when the sheet unique IDs are different, the drug amounts of n drugs included in the drug sheet are different.

  FIG. 5 shows an example of data in the medication pattern DB 24.

  The medication pattern DB 24 is a database that stores medication pattern information, which is information regarding when a patient should take the medication, corresponding to the combination of the medication name and the prescription pattern.

  In the example of FIG. 5, “before going to bed” is stored as the dosing pattern information for the prescription patterns “A1” and “B1” of the medicine “X”. For the prescription pattern “A1” of the medicine “Y”, “after meals three times a day” is stored as dosing pattern information. For the prescription pattern “A2” of the medicine “Y”, “after dinner twice a day” is stored as dosing pattern information. For the prescription pattern “B1” of the medicine “Y”, “after every meal three times a day” is stored as dosing pattern information.

  FIG. 6 shows an example of data in the question content DB 25.

  The question content DB 25 is a database that stores the content of a question related to the physical condition of a patient after taking corresponding to a combination of a drug name and a prescription pattern. The contents of the question regarding the patient's physical condition include subjective evaluation information regarding the effects and side effects of the medicine taken.

  The question content DB 25 stores the question type, the warning threshold value, and the question wording corresponding to the combination of the drug name and the prescription pattern as many as the number of questions to the patient. The question type indicates the method of presenting the question. The question type can be selected from “5 methods”, “Yes” or “No”, which allows the user to select one of five evaluation values from “1” to “5”. “Two cases” to be selected is defined. The warning threshold value represents a threshold level at which a warning display is required for the evaluation value input by the patient. For example, when the question type is “5 cases”, the warning threshold value “0” indicates that no warning is required, and when the warning threshold value is “1” to “5”, the value is equal to or less than that value. Indicates that a warning is displayed in the case of. The question wording is defined as the question wording.

  In the example of FIG. 6, for the prescription pattern “A1” of the drug “X”, “Sleep Length Satisfaction”, “Sleep Quality Satisfaction”, “Sleep After Awakening”, and “ It is stored in the question content DB 25 that four questions about “abnormality of physical condition” are asked in five ways.

  In addition, for the prescription pattern “B1” for the drug “X”, “Sleep Length Satisfaction”, “Sleep Quality Satisfaction”, “Sleep After Awakening”, and “Physical Change” It is stored in the question content DB 25 that four questions are asked in five ways.

  In addition, in the prescription patterns “A1” and “B1” of the drug “X”, when an evaluation value of “1” or less is input as an answer to the questions “sleepiness after waking up” and “abnormal change in physical condition”, The display of the warning is stored in the question content DB 25.

  FIG. 7 shows an example of data in the medication status DB 26.

  The medication status DB 26 is a database that stores information related to the physical condition of the patient after medication.

  The medication status DB 26 stores medication information, which is information related to the physical condition of the patient after medication, in association with the prescription ID and the packaging number.

  The information related to the patient's physical condition after taking medicine includes items related to the patient's biological information detected by the wristband 12 and items related to the question defined in the question content DB 25.

  As items relating to the patient's biological information, sleeping time, sleep onset latency, and number of mid-wakefulness are stored.

  There are four items related to the question defined in the question content DB 25: "satisfaction of sleep length", "satisfaction of sleep quality", "sleepiness after waking up", and "abnormality of physical condition" The results of questions are stored.

  Therefore, the medication status DB 26 stores patient biometric information detected by the biosensor and subjective evaluation information regarding the effects and side effects of the medicine taken. In addition, you may make it store only a patient's biometric information or only subjective evaluation information in the medication condition DB26.

  In the information processing system 1 of FIG. 1 configured as described above, the doctor uses the doctor PC 14 to change the prescription pattern of the medicine prescribed to the patient according to the volume change pattern such as “beginning of drinking”, “decreasing drug”, and the like. decide. The pharmacist prescribes the drug in a prescription pattern designated by the doctor. The patient takes the prescribed medicine and records information about the physical condition after taking the medicine using the smartphone 11. The doctor determines the optimal dose based on information recorded by the patient regarding the physical condition after taking.

  In this information processing system 1, the doctor designates the medicine to be prescribed to the patient and the prescription pattern. However, it is not known how much medicine (the amount of the active ingredient) is actually contained in the medicine prescribed to the patient. Absent. Similarly, the patient himself does not know. Therefore, the dosage can be adjusted without the psychological influence such as the placebo effect.

  Hereinafter, details of processing performed by the information processing system 1 will be described with reference to flowcharts.

<2. Flow chart until patient receives prescription (1)>
FIG. 8 is a flowchart for explaining the first processing until the patient receives the prescription.

  First, in step S1, the doctor selects the medicine to be prescribed to the patient and the volume change pattern in the doctor PC 14, and the doctor PC 14 acquires the medicine and the volume conversion pattern selected by the doctor.

  In step S2, the doctor PC 14 transmits the medicine selected by the doctor and the volume change pattern to the random prescription pattern DB 21 together with information on the age, sex, and weight of the patient registered in advance in the doctor PC 14, and the prescription pattern is transmitted. Request.

  In step S3, the random prescription pattern DB 21 receives the prescription pattern request transmitted from the doctor PC 14, and determines the prescription pattern corresponding to the received parameters, that is, the drug, the volume change pattern, the age, the sex, and the weight. And send (reply) to the doctor PC 14.

  As shown in FIG. 2, prescription patterns are registered in the random prescription pattern DB 21 corresponding to the parameters of drug, volume change pattern, age, sex, and weight.

  If the doctor selects the drug “X” and the volume change pattern “start of drinking” for an adult weighing 35 kg or more in step S1, in step S3, the prescription pattern “A1” is returned as a response to the processing pattern request. Is transmitted to the doctor PC 14.

  FIG. 9 shows an example of each parameter for determining the prescription pattern “A1” and the dosage determined based on the parameter.

  The prescription pattern “A1” has parameters of the minimum placebo frequency, the initial minimum dose, the initial maximum dose, the upper limit dose, the maximum dose upper limit arrival days, and the final minimum dose.

  The minimum placebo number represents the placebo period set at the beginning of the dosing period. The initial minimum dose represents the lowest dose when taken immediately after the end of the placebo period. The initial maximum dose represents the maximum dose when taken immediately after the placebo period. The upper limit dose represents the upper limit of the dose throughout the dosing period. For the upper limit dose, for example, a prescribed dose of the drug is set. The maximum dose upper limit days represent the number of days until the upper limit dose is reached. The final minimum dose represents the lowest dose on the last day of the dosing period.

  With the above parameters, the upper limit value and lower limit value of the dose are determined for the entire dosing period of the prescription pattern “A1”, and the dose is determined randomly within the range of the upper limit value and the lower limit value ( Determined with randomness).

  The rhombus plot of FIG. 9 represents the dose determined at random within the range of the upper limit value and the lower limit value. The dose of each plot corresponds to n doses possessed by a predetermined sheet unique ID in the dose DB 23 of FIG.

  When the doctor recognizes the prescription pattern “A1” by the process of step S3, the sheet unique ID is undecided, so the doctor grasps how much medicine the prescribed patient takes on a certain day. It is not possible. Similarly, a prescribed patient cannot grasp it. Thereby, the double blind property can be secured. In addition, when there is a state where priority should be given to a situation where the doctor should know the dose rather than the double blind property, the doctor may refer to the dose.

  The parameters for determining the upper limit value and the lower limit value of the dosage for the entire dosing period of the prescription pattern “A1” are not limited to the parameters described above, and other parameters or different parameters may be provided. For example, after the placebo period has ended, a lower limit dose parameter that allows a dose of 0.00 mg of placebo to be taken may be provided.

  Returning to FIG. 8, upon receiving the prescription pattern “A1” transmitted from the random prescription pattern DB 21 in step S <b> 4, the doctor PC 14 transmits a request for a new prescription ID to the prescription DB 22. The prescription ID is prescription identification information for identifying a prescription for a patient, and is assigned by the prescription DB 22. A prescription ID is assigned for each medicine. For example, when two kinds of medicine are prescribed for a patient, two prescription IDs correspond to one prescription.

  In step S5, the prescription DB 22 receives a request for a new prescription ID transmitted from the doctor PC 14, generates a new prescription ID, and sends it back to the doctor PC 14. Here, it is assumed that the prescription ID “683297” shown in the prescription DB 22 of FIG. 3 is generated as a new prescription ID. However, in the prescription DB 22 at this stage, n doses of the package numbers 1 to n recorded corresponding to the prescription ID “683297” are not yet recorded.

  In step S6, the doctor PC 14 receives the prescription ID transmitted from the prescription DB 22, and records the prescription ID as patient chart data or prescription history data.

  In step S7, the doctor PC 14 accepts an operation for creating a prescription, and encodes and prints the medicine “X”, the prescription ID “683297”, and the prescription pattern “A1” with a two-dimensional barcode on the prescription. Note that the medicine “X”, the prescription ID “683297”, and the prescription pattern “A1” may be printed in characters without being encoded into the two-dimensional barcode.

  The above is the process until the doctor creates a prescription at the clinic.

  The patient who receives the prescription moves to the pharmacy and gives the prescription to the pharmacist.

  The pharmacist receives a prescription from the patient and causes the pharmacy PC 13 to read the two-dimensional barcode printed on the prescription. In step S11, the pharmacy PC 13 reads the two-dimensional barcode printed on the prescription and detects the medicine “X”, the prescription ID “683297”, and the prescription pattern “A1”.

  In the above-described example, the medicine “X”, the prescription ID “683297”, and the prescription pattern “A1” are recorded on the prescription which is a paper medium with a two-dimensional barcode, and the information is received from the doctor via the patient. The information is transmitted to the pharmacist, but an electronic prescription may be used. When an electronic prescription is used, information on the medicine “X”, prescription ID “683297”, and prescription pattern “A1” described in the prescription is transmitted to the pharmacy PC 13 via the network 15. In step S11, the pharmacy PC 13 receives information sent as an electronic prescription from the doctor PC 14.

  As a result of reading the two-dimensional barcode, the medicine “X”, the prescription ID “683297”, and the prescription pattern “A1” are displayed on the display of the pharmacy PC 13. In step S12, the pharmacist confirms the displayed medicine “X”, prescription ID “683297”, and prescription pattern “A1”, and obtains the medicine sheet of the prescription pattern “A1” of the medicine “X” from the medicine shelf. To do.

  That is, for the prescription pattern “A1” of the drug “X”, the dosage is randomly determined within the range of the upper limit value and the lower limit value of the prescription pattern “A1”. The sheet is arranged on the shelf of the prescription pattern “A1” of the medicine “X” on the medicine shelf. The pharmacist selects any one medicine sheet placed on the shelf of the prescription pattern “A1” of the medicine “X” on the medicine shelf.

  For example, when the prescribed medicine is a tablet medicine sheet, as shown in FIG. 10, a sheet-specific ID “16378954” for identifying the medicine sheet and its two-dimensional barcode are printed on the medicine sheet. Yes. The drug sheet is also printed with a number for identifying the tablet.

  In step S13, the pharmacy PC 13 reads the two-dimensional barcode of the selected medicine sheet according to the operation of the pharmacist, and acquires the sheet unique ID of the medicine sheet. The pharmacist may input the sheet unique ID printed on the drug sheet to the pharmacy PC 13, and the pharmacy PC 13 may acquire the input sheet unique ID.

  Next, in step S14, the pharmacy PC 13 transmits the drug “X”, the prescription ID “683297”, the prescription pattern “A1”, and the sheet unique ID “16378954” to the prescription DB 22.

  In step S15, the prescription DB 22 receives the medicine “X”, the prescription ID “683297”, the prescription pattern “A1”, and the sheet unique ID “16378954” transmitted from the pharmacy PC 13. In step S15, the prescription DB 22 transmits the medicine “X”, the prescription pattern “A1”, and the sheet unique ID “16378954” to the dosage DB 23 to inquire about the dosage of the sheet unique ID “16378954”.

  In step S16, the dose DB 23 receives the drug “X”, the prescription pattern “A1”, and the sheet unique ID “16378954” transmitted from the prescription DB 22, and sends the dose corresponding to the combination to the prescription DB 22. Send back.

  In step S17, the prescription DB 22 determines the dosage of the package numbers 1 to n corresponding to the combination of the medicine “X”, the prescription pattern “A1”, and the sheet unique ID “16378954” transmitted from the dosage DB 23. , It is registered in the corresponding sheet unique ID column of the prescription DB 22. As a result, as shown in FIG. 3, n doses of the package numbers 1 to n are recorded in the row of the prescription ID “683297”.

  In step S18, the pharmacy PC 13 prints a two-dimensional barcode on a prescription explanation sheet to be delivered to the patient. The two-dimensional bar code printed here is encoded with the same information as the two-dimensional bar code printed on the prescription, the drug “X”, the prescription ID “683297”, and the prescription pattern “A1”. The pharmacist delivers the prescription explanation sheet on which the two-dimensional barcode is printed together with the medicine to the patient.

  This completes the process until the patient prescribes the drug in the pharmacy.

<3. Flow chart until patient receives prescription (2)>
FIG. 11 is a flowchart for explaining the second process until the patient receives the prescription.

  The flowchart described with reference to FIG. 8 is an example in which the drug amount of the prescription pattern “A1” is determined by the pharmacist randomly selecting a drug sheet of a tablet prepared in advance by the pharmaceutical company according to the prescription pattern “A1”. It is.

  On the other hand, FIG. 11 is a flowchart in the case where the pharmacist prescribes a powdered medicine having a prescription pattern “A1”.

  In FIG. 11, the processing in steps S1 to S7 performed in the clinic is the same as that in FIG.

  In FIG. 11, the processing from step S11 to step S18 in FIG. 8 is replaced with step S21 to step S28.

  The pharmacist receives a prescription from the patient and causes the pharmacy PC 13 to read the two-dimensional barcode printed on the prescription. In step S21, the pharmacy PC 13 reads the two-dimensional barcode printed on the prescription and detects the medicine “X”, the prescription ID “683297”, and the prescription pattern “A1”.

  In step S22, the pharmacy PC 13 randomly determines a predetermined sheet unique ID from among a large number of sheet unique IDs prepared as a combination of the medicine “X” and the prescription pattern “A1”. Alternatively, the pharmacy PC 13 may randomly generate the same number of digits as the number of sheets unique ID, and determine the number determined thereby as the sheet unique ID. It is assumed that the sheet unique ID determined here is “16378954” similarly to the description in the flowchart of FIG.

  Next, in step S23, the pharmacy PC 13 transmits the determined sheet unique ID “16378954”, the medicine “X”, and the prescription pattern “A1” to the dosage DB 23, and the dosage of the sheet unique ID “16378954”. Inquire. As shown in FIG. 4, the drug dose DB 23 stores drug doses of n drugs corresponding to combinations of drug names, prescription patterns, and sheet unique IDs.

  In step S24, the dose DB 23 receives the drug “X”, the prescription pattern “A1”, and the sheet unique ID “16378954” transmitted from the pharmacy PC 13, and sends the dose corresponding to the combination to the pharmacy PC 13. Send back.

  In step S25, the pharmacy PC 13 obtains the dosage of the packaging numbers 1 to n corresponding to the combination of the medicine “X”, the prescription pattern “A1”, and the sheet unique ID “16378954” transmitted from the dosage DB 23. Receive and transfer to the parcel machine. The packaging machine packages the medicine with a set amount. At this time, the packaging machine adjusts the amount of excipients so that the total amount does not change, and mixes placebos with the same taste so that the total amount with the dosage is the same between the packagings. It is possible to take measures to prevent the patient from recognizing the amount.

  FIG. 12 shows a conceptual diagram of a medicine produced by a packaging machine. Similarly to the example of the drug sheet of the tablet shown in FIG. 10, a number for identifying the bag is printed for each dose unit (1 bag).

  In step S <b> 26, the pharmacy PC 13 transmits the prescription ID “683297” and the prescription amount of the package number 1 to n to the prescription DB 22.

  In step S27, the prescription DB 22 receives the prescription ID “683297” and the medicine amount of the parcel number 1 to n transmitted from the pharmacy PC 13, and stores the dosage amount of the parcel number 1 to n in the prescription DB 22 Register in the corresponding sheet unique ID field. As a result, as shown in FIG. 3, n doses of the package numbers 1 to n are recorded in the row of the prescription ID “683297”.

  In step S28, the pharmacy PC 13 prints a two-dimensional barcode on a prescription explanation sheet to be delivered to the patient. The two-dimensional bar code printed here is encoded with the same information as the two-dimensional bar code printed on the prescription, the drug “X”, the prescription ID “683297”, and the prescription pattern “A1”. The pharmacist delivers the prescription explanation sheet on which the two-dimensional barcode is printed to the patient together with the medicine.

  This is the end of the process performed at the pharmacy when prescribing powder.

  In the above-described processing, the dose is determined by inquiring the dose to the dose DB 23 based on the randomly determined sheet unique ID. However, the pharmacy PC 13 does not use the dose DB 23 and the pharmacy PC 13 The amount may be determined.

  In that case, if the pharmacy PC 13 is each parameter of the prescription pattern, for example, the prescription pattern “A1”, the minimum number of placebos, the initial minimum dose, the initial maximum dose, the upper limit dose, the maximum dose upper limit arrival days In addition, each parameter of the final minimum dose is stored, and the dose corresponding to the number of doses is randomly determined using random numbers within the range of the upper limit value and the lower limit value of the prescription pattern “A1”. The processes in steps S23 and S24 described above are omitted.

  The flowchart in FIG. 8 is an example in which the dosage of the prescription pattern “A1” is determined by a pharmacist randomly selecting a drug sheet of a tablet prepared in advance by a pharmaceutical company. On the other hand, the flowchart of FIG. 11 is an example in which the pharmacist determines the dosage of the prescription pattern “A1” by packaging the powder of the prescription pattern “A1”. However, the process described in the flowchart of FIG. 8 is not limited to the case of prescribing tablets, but can be applied to all cases where a pharmaceutical company produces a drug according to the dose DB 23 of FIG. Similarly, the processing described in the flowchart of FIG. 11 is not limited to the case of prescribing powder medicine, but can be applied to all cases where a pharmacy (pharmacist) creates a medicine according to the dosage DB 23 of FIG.

<4. Flow chart during medication period>
Next, processing during the patient's medication period will be described with reference to the flowcharts of FIGS. 13 and 14.

  FIG. 13 is a flowchart illustrating a process executed when a patient starts taking a drug.

  First, the patient causes the smartphone 11 to read the two-dimensional barcode printed on the prescription explanation sheet delivered at the pharmacy. In step S51, the smartphone 11 reads the two-dimensional barcode printed on the prescription description sheet, and detects the medicine “X”, the prescription ID “683297”, and the prescription pattern “A1”.

  In step S52, the smartphone 11 transmits the medicine “X” and the prescription pattern “A1” read from the two-dimensional barcode to the medication pattern DB 24 and inquires about the medication pattern. The medication pattern DB 24 stores medication pattern information corresponding to combinations of medicines and prescription patterns, as shown in FIG.

  In step S53, the medication pattern DB 24 receives the medicine “X” and the prescription pattern “A1” transmitted from the smartphone 11, and returns “before going to bed” to the smartphone 11 as medication pattern information corresponding to the combination.

  In step S54, the smartphone 11 transmits the medicine “X” and the prescription pattern “A1” read from the two-dimensional barcode to the question content DB 25, and inquires about the question content corresponding to the medicine.

  In step S55, the question content DB 25 receives the medicine “X” and the prescription pattern “A1” transmitted from the smartphone 11, and returns the question content information corresponding to the combination to the smartphone 11.

  As shown in FIG. 6, the question content DB 25 stores the question type, the warning threshold, and the question wording corresponding to the combination of the medicine and the prescription pattern as many as the number of questions to the patient. The question content DB 25 returns the question type, the warning threshold value, and the question wording corresponding to the combination of the medicine and the prescription pattern as the question content information to the smartphone 11 as the question content information. The question content information also includes timing information that designates the timing at which the question is executed according to the type of medicine or the dosage pattern information. For example, in the case of a sleeping pill, timing information indicating that a question screen is displayed in the morning after getting up is stored as part of the question content information.

  The processes in steps S52 and S53 and the processes in steps S54 and S55 described above may be executed in parallel or in the reverse order. Moreover, you may perform the process of step S51 thru | or S55 because a pharmacist operates the smart phone 11 of a patient in a pharmacy.

  Through the processing of steps S51 to S55, the smartphone 11 takes the timing of taking the prescribed medicine, the contents to ask the patient after taking, and the contents of the biological information calculated from the acceleration data and the pulse data detected by the wristband 12 Is recognized.

  When it is time for the patient to take the medicine, a series of processes shown in the flowchart of FIG. 14 is executed.

  That is, the smartphone 11 instructs the patient to take medication in step S61. For example, as shown in FIG. 15, a message “Please take the medicine in the package labeled No. 25 today” is displayed on the screen of the smartphone 11, and the patient is given a medicine with a predetermined identification number. To instruct. Further, the patient may be allowed to input the number of the package actually taken. Alternatively, as shown in FIG. 16, information such as a medicine, an identification number, or a medicine amount is printed on a medicine package with a two-dimensional barcode, and the smartphone 11 displays “ Please take a picture of the 2D barcode on the package "message and let the patient register the medication to take.

  Next, in step S <b> 62, the smartphone 11 performs short-range wireless communication with the wristband 12, acquires the sensor signals of the pulse wave sensor 31 and the acceleration sensor 32 from the wristband 12, and acquires the patient's signal from the acquired sensor signals. Biometric information is calculated. In the present embodiment, the smartphone 11 calculates the patient's sleep time, sleep onset latency, and number of halfway awakenings as the patient's biological information.

  Note that the timing and time interval at which the smartphone 11 acquires the sensor signal from the wristband 12 are not particularly limited. For example, the wristband 12 may accumulate sensor signals for one day, and the smartphone 11 may acquire sensor signals from the wristband 12 at a timing once a day, or at predetermined time intervals. May periodically communicate with the wristband 12 to obtain sensor signals.

  In step S <b> 63, the smartphone 11 displays a questionnaire regarding the effects and side effects of the drug after taking on the screen of the smartphone 11, receives a patient's operation input, and acquires a questionnaire result.

  FIG. 17 shows an example of a questionnaire screen displayed on the screen of the smartphone 11 in step S63. A question based on the question content information acquired from the question content DB 25 is displayed on the screen of the smartphone 11. In addition, the biological information calculated from the sensor signal transmitted from the wristband 12, that is, the sleep time, the sleep latencies, and the number of awakenings during the display are also displayed.

  In the questionnaire screen of FIG. 17, the three items of “Sleep Length Satisfaction”, “Sleep Quality Satisfaction”, and “Sleep After Awakening” investigate the patient's subjective evaluation regarding medicinal effects It corresponds to the sleep subjective evaluation item.

  Also, the two items “sleepiness after waking up” and “abnormal change in physical condition” correspond to the side effect subjective evaluation items for investigating the patient's subjective evaluation regarding the side effects of the drug.

  In step S64, the smartphone 11 determines whether the evaluation value input by the patient on the questionnaire screen displayed in step S63 is equal to or less than the warning threshold acquired from the question content DB 25.

  When it is determined in step S64 that the input evaluation value is equal to or less than the warning threshold, the process proceeds to step S65, and the smartphone 11 displays a message prompting the patient to contact the doctor on the screen of the smartphone 11. .

  On the other hand, if it is determined in step S63 that the input evaluation value is greater than the warning threshold, the process of step S65 is skipped.

  Note that the process of step S65 may be a process in which the smartphone 11 automatically contacts a doctor with a message indicating that an evaluation value equal to or less than the warning threshold has been input.

  And in step S66, the smart phone 11 transmits the medication information which is the information regarding the patient's physical condition after taking, stored in the internal memory to the medication status DB 26 together with the prescription ID and the package number.

  In step S67, the medication status DB 26 receives the prescription ID, the packaging number, and the medication information transmitted from the smartphone 11, and stores the medication information for each prescription ID and the packaging number. Thereby, data like the medication status DB 26 shown in FIG. 7 is generated.

  The processing of steps S61 to S67 is executed every time the medication timing specified by the medication pattern information comes.

  The process during the patient's medication period is thus completed.

<5. Flow chart after medication period>
Next, processing after the completion of the medication period will be described with reference to the flowchart of FIG.

  For example, when the patient visits the doctor again after the medication period, the doctor operates the doctor PC 14 to execute the correlation calculation program, thereby starting the following processing.

  First, in step S81, the doctor PC 14 transmits a prescription ID to the prescription DB 22, and inquires about the dose of each package number stored in correspondence with the prescription ID.

  In step S82, the prescription DB 22 receives the prescription ID transmitted from the doctor PC 14, and transmits the dosage of each package number stored corresponding to the received prescription ID as dosage information.

  Next, in step S83, the doctor PC 14 sends a prescription ID to the medication status DB 26 and inquires about the medication status corresponding to the prescription ID.

  In step S84, the medication status DB 26 receives the prescription ID transmitted from the doctor PC 14, and transmits medication information corresponding to the received prescription ID. In this process, all information stored in association with the prescription ID in the medication status DB 26 of FIG. 7 is transmitted to the doctor PC 14.

  The doctor PC 14 receives the medication information transmitted from the medication status DB 26 in step S85. The doctor PC 14 then takes the medicine that the patient has taken, based on the amount of each packaging number associated with the prescription ID obtained from the prescription DB 22 and the medication information associated with the prescription ID obtained from the medication status DB 26. The correlation between the effect and side effects and the dose is calculated.

  Next, in step S86, the doctor PC 14 displays the correlation result calculated in the process of step S83 on the display.

  The doctor refers to the correlation result displayed on the display of the doctor PC 14 and determines an appropriate dose for the patient.

<6. Display example of correlation results>
19 to 25 show examples of correlation results displayed on the display of the doctor PC 14 in step S86.

  FIG. 19 shows an example of a correlation result in which a correlation between the amount of medicine contained in a medicine in a dose unit and sleep time is represented by a scatter diagram.

  Referring to the scatter diagram of FIG. 19, when taking a placebo with a dosage of 0 mg, the sleeping time is less than 7 hours, and when the dosage is between 0.00 mg and 0.13 mg, the sleeping time is The case where is less than 7 hours and the case where it exceeds 7 hours are mixed. And when a dosage exceeds 0.15 mg, it can confirm that the sleep time of 7 hours or more has been ensured. Assuming that the necessary sleep time is 7 hours, in this embodiment, even if the dose of 0.25 mg, which is the upper limit dose (regulated dose), is not taken, the dose of 0.15 mg has a sufficient effect. Can be seen.

  FIG. 20 shows an example of a correlation result in which the correlation between the amount of medicine contained in the medicine in a dose unit and the sleep onset latency is represented by a scatter diagram.

  In the scatter diagram of FIG. 20 as well, a dose of less than 0.15 mg including placebo has a sleep latency of 30 minutes or more, but a dose of 0.15 mg or more always has a sleep latency of less than 30 minutes. Therefore, it can be judged that a sufficient effect is seen at a dose of 0.15 mg.

  FIG. 21 shows an example of a correlation result in which a correlation between a dose contained in a medicine in a dosage unit and a sleep subjective evaluation is represented by a scatter diagram.

  In the example of FIG. 21, the average value of the three items of “Sleep Length Satisfaction”, “Sleep Quality Satisfaction”, and “Sleep After Awakening” corresponding to the sleep subjective evaluation items is calculated. It is adopted as a sleep subjective evaluation value.

  Also in the scatter diagram of FIG. 21, a dose of less than 0.15 mg including placebo may result in an evaluation of “1” or “2”, but a sleep subjective evaluation is always “3” at a dose of 0.15 mg or more. As described above, it can be judged that a sufficient effect can be seen with a dose of 0.15 mg, subjectively of the patient.

  FIG. 22 shows an example of a correlation result in which the correlation between the dose contained in the medicine in the dosage unit and the side effect subjective evaluation is represented by a scatter diagram.

  In the example of FIG. 22, the average value of two items “sleepiness after waking up” and “abnormal change in physical condition” corresponding to the side effect subjective evaluation item is adopted as the value of the side effect subjective evaluation.

  In the scatter diagram of FIG. 22, the side effect subjective evaluation is always “4” or more at all the doses including placebo, and it can be determined that no side effect is observed.

  FIG. 19 to FIG. 22 show examples in the case where good results are obtained, and the doctor who confirmed these scatter diagrams determines, for example, a prescription of 0.15 mg as the optimal dose of the drug “X”. can do.

  On the other hand, the following scatter charts of FIGS. 23 to 25 show an example in which another patient takes the drug “X” with the same prescription pattern “A1” and a sufficient drug effect cannot be obtained even with the prescribed drug amount. Show.

  FIG. 23 shows an example of the correlation result between the amount of medicine contained in the medicine of the dosage unit and the sleep time.

  In the scatter diagram of FIG. 23, the sleep time is less than 7 hours in any dose from 0.00 mg to 0.25 mg.

  FIG. 24 shows an example of a correlation result between the amount of medicine contained in the medicine in the dosage unit and the sleep onset latency.

  In the scatter diagram of FIG. 24, the sleep onset latency is 30 minutes or more at any dose from 0.00 mg to 0.25 mg.

  FIG. 25 shows an example of the correlation result between the dose contained in the medicine in the unit of taking and the side effect subjective evaluation.

  In the scatter diagram of FIG. 25, the patient does not particularly feel any side effect at any dose from 0.00 mg to 0.25 mg.

  From the above, in this patient, it can be confirmed that the prescription up to the prescribed dose has not achieved sufficient extension of sleep time or reduction of sleep latency with respect to placebo. However, looking at the relationship with sleep onset latency, a slight reduction in sleep onset latency was seen from around the dose of 0.17 mg, suggesting that the prescribed dose may be slightly ineffective. Is done. If the drug “X” is a drug whose increase from the prescribed drug amount is permitted at the discretion of the doctor, the doctor can make a determination to try to increase the drug. Alternatively, it is possible to make a decision such as using another drug or trying a treatment other than drug therapy. From the correlation result of the side effect subjective evaluation of FIG. 25, the fact that the patient does not feel the side effect can be used as a material for the determination of the increase in dosage as reinforcement of the patient's inquiry.

<7. Example of a prescription pattern that gradually reduces the dose>
In the above, the volume change pattern of “the beginning of drinking”, which is a kind of prescription pattern for gradually increasing the dose in the random prescription pattern DB 21 of FIG. 2, has been described.

  In the following, the volume change pattern of “drug reduction”, which is a kind of prescription pattern for gradually decreasing the dose, will be described.

  It is assumed that the doctor selects the drug “X” and the volume change pattern “reduced drug” as the drug and volume change pattern in step S1 of FIG.

  In step S2, the doctor PC 14 transmits the medicine selected by the doctor and the volume change pattern together with information on the age, sex, and weight of the patient to the random prescription pattern DB 21 and requests a prescription pattern.

  In step S3, the random prescription pattern DB 21 receives the prescription pattern request transmitted from the doctor PC 14, determines the prescription pattern “B1” as the prescription pattern corresponding to the received parameter, and transmits the prescription pattern “B1” to the doctor PC 14.

  FIG. 26 shows an example of each parameter for determining the prescription pattern “B1” and the dosage determined based on the parameter.

  The prescription pattern “B1” has parameters of initial dose, minimum number of placebos, maximum dose maintenance days, minimum dose lower limit arrival days, final maximum dose, and lower limit dose.

  The initial dose represents the dose when first taken. The minimum placebo number represents the placebo period set at the beginning of the dosing period. In the case of drug reduction, placebo means taking the same dose as the initial dose without actually reducing the dose. The maximum dose maintenance days represent the number of days that the same dose as the initial dose is maintained as the upper limit after the placebo period. The minimum dose lower limit arrival days represent the number of days until the last lower limit dose of the dosing period is reached. The final maximum dose represents the maximum dose on the last day of the dosing period. The lower limit dose represents the lower limit of the dose throughout the dosing period.

  With the parameters as described above, the upper limit value and the lower limit value of the dosage are determined for the entire dosing period of the prescription pattern “B1”, and the dosage is randomly selected within the range of the upper limit value and the lower limit value ( Determined with randomness). The rhombus plot of FIG. 26 represents the dosage determined at random within the range of the upper limit value and the lower limit value.

  The parameters for determining the upper limit value and the lower limit value of the dosage for the entire dosing period of the prescription pattern “B1” are not limited to these parameters, and other parameters or different parameters may be provided.

  In addition, the prescription pattern in which the volume change pattern is “discontinuation”, for example, repeats the prescription pattern “B1” shown in FIG. It can be applied by setting the maximum dose. A prescription pattern in which the volume change pattern is “discontinuation” can also be applied by setting the lower limit dose of the prescription pattern “B1” shown in FIG. 26 to “0”.

  FIG. 27 and FIG. 28 show examples of correlation results when a favorable course is followed in the prescription pattern for gradually decreasing the dose.

  FIG. 27 shows an example of the correlation result between the amount of medicine contained in the medicine of the dosage unit and the sleep time.

  In the scatter diagram of FIG. 27, the sleep time of 7 hours or more can be secured in any dose from 0.13 mg to 0.25 mg.

  FIG. 28 shows an example of the correlation result between the dose contained in the medicine in the dosage unit and the side effect subjective evaluation.

  In the scatter diagram of FIG. 28, it is possible to determine that no side effect is observed because the side effect subjective evaluation is always “4” or more at any dose from 0.13 mg to 0.25 mg.

  Thus, if the dose is reduced, sleep time does not decrease and there are no reports of subjective side effects, as in the case of a prescription pattern that gradually increases the dose, Check with your doctor for results.

  Next, FIG.29 and FIG.30 has shown the example of the correlation result when the withdrawal reaction as a strong side effect has arisen in the prescription pattern which reduces a dosage gradually.

  FIG. 29 shows an example of the correlation result between the amount of medicine contained in the medicine of the dosage unit and the sleep time.

  In the scatter diagram of FIG. 29, when the dose is about 0.15 mg or less, a recoil insomnia phenomenon occurs and the sleep time is reduced.

  FIG. 30 shows an example of a correlation result between the dose contained in the medicine in the unit of taking and the side effect subjective evaluation.

  In the scatter diagram of FIG. 30, when the dose decreases, the patient reports a high side effect of “1” or “2” in the questionnaire due to the mental and physical disorder as a withdrawal reaction.

  If a patient has reported high side effects in a questionnaire, it is not appropriate to leave such a condition.

  Therefore, for example, as one of the coping methods, a message prompting the patient to contact the doctor is displayed as in the processing of step S64 and step S65 in FIG. There is a way to display a message prompting you to receive.

  Further, when the side effect is a withdrawal reaction due to drug reduction, it can be dealt with by reducing the dose of the drug being taken to an appropriate amount.

  There is no uniform standard on what amount of medication should be taken when withdrawal symptoms appear, and the concept varies depending on the type of drug, but in this embodiment, the dose to be taken is The coping method which returns to the dose of the stable state before drug reduction is demonstrated.

  For example, in the dose DB 23 for storing the dose according to the drug and the prescription pattern, n numbers from the package number 1 to the package number n corresponding to the combination of the prescription pattern “B1” for reducing the drug “X” As a dose, a reserve dose can be included for when a withdrawal symptom, which is a side effect, occurs. For example, the reserve dose is set to a dose that compensates for the shortage of the reduced dose, or to a dose that is 1/2, 1/4, or 1/8 of the difference between the initial dose and the minimum dose. I can keep it. This reserve dose is not taken when the drug reduction progresses smoothly as shown in the correlation results in FIGS.

  And in addition to the process which displays the message which urges | contacts a doctor in step S65 of FIG. 14, or it replaces with that process, the smart phone 11 confirms switching of taking as shown in FIG. Display a message.

  In the message screen of FIG. 31, a message “Do you want to change your dose?”, A “Change dose” button 51, and a “Do not change” button 52 are displayed. In the case of sleeping pills, switching from the next dose may be performed, but in the case of anti-anxiety drugs, it may be better to immediately supplement the shortage of the dose.

  When the “switch dosing” button 51 is selected, the smartphone 11 switches to the medication instruction when a side effect occurs in the next medication instruction in step S61. Specifically, the smartphone 11 stops the drug reduction, and the medicine with the parcel number including the initial dosage or the dosage at which the patient has not reported a side effect (the side effect subjective evaluation is “3” or more). Instruct to take.

  In the case where the “taken in a single dose” button 52 is selected, the smartphone 11 designates a package number including a drug amount that compensates for the shortage of the reduced drug amount and instructs the patient to take the medicine on the spot. . The dose may be automatically calculated as 1/2, 1/4, or 1/8 of the initial dose, or based on the dose specified by the doctor. You may decide to.

  In the process of transmitting the medication information to the medication status DB 26 in step S66 of FIG. 14, the smartphone 11 transmits the package number of the medication actually taken by the patient to the medication status DB 26.

  As described above, when a withdrawal reaction occurs as a strong side effect in a prescription pattern in which the dosage is gradually reduced, as a urgent action until a doctor's examination, the dosage to compensate for the reduced dosage or drug reduction By preparing a spare medicine with a dose not yet used and switching to that medicine, the patient can take an appropriate dose.

<8. Functional block diagram>
FIG. 32 shows a functional block diagram of the doctor PC 14.

  In the doctor PC 14, an arithmetic processing unit such as a CPU (Central Processing Unit) executes the prescription creation program and the correlation calculation program, so that the capacity change pattern selection unit 101, the prescription pattern determination unit 102, the prescription pattern output unit 103, the dosage An information acquisition unit 104, a medication information acquisition unit 105, a correlation calculation unit 106, an operation reception unit 107, and a storage unit 108 are configured.

  The volume change pattern selection unit 101 displays a selection screen for selecting a drug to be prescribed to a patient and a volume change pattern on the display, and selects a drug and a volume conversion pattern based on a doctor's operation.

  The prescription pattern determination unit 102 determines a prescription pattern in which the dosage of the dosage unit is randomly changed according to the drug selected by the operation of the doctor and the volume change pattern. Specifically, the prescription pattern determination unit 102 requests the prescription pattern by transmitting the selected medicine and the volume change pattern together with information on the patient's age, sex, and weight to the random prescription pattern DB 21, and requests the prescription pattern. The prescription pattern returned from the DB 21 is determined as a prescription pattern corresponding to the selected medicine and the volume change pattern. Depending on the type of medicine, information on the patient's age, sex, and weight may be omitted, and in this case, the prescription pattern is determined by the medicine and the volume change pattern.

  The prescription pattern output unit 103 acquires a new prescription ID from the prescription DB 22, and outputs the acquired prescription DB 22 and the prescription pattern determined by the prescription pattern determination unit 102 to a predetermined medium or another device. For example, the prescription pattern output unit 103 encodes the medicine “X”, the prescription ID “683297”, and the prescription pattern “A1” with a two-dimensional barcode and prints the prescription (paper medium). Further, for example, the prescription pattern output unit 103 transmits information on the medicine “X”, the prescription ID “683297”, and the prescription pattern “A1” as an electronic prescription to the pharmacy PC 13 via the network 15.

  The dose information acquisition unit 104 accesses the prescription DB 22 and acquires the dose of each package number of a predetermined prescription pattern stored as corresponding to the prescription ID as dose information.

  The medication information acquisition unit 105 acquires the medication amount of the prescription pattern determined by the prescription pattern determination unit 102 and the medication information, which is information related to the physical condition of the patient who has taken the medication of that dose, from the medication status DB 26. The medication information, which is information relating to the patient's physical condition, includes patient biometric information and subjective evaluation information relating to the effects and side effects of the medication taken. The patient's biological information includes the sleep time, the sleep latency, and the number of mid-wakefulnesses calculated from the sensor signals of the wristband 12 biosensor. Subjective evaluation information on drug effects and side effects can be obtained from questionnaire results on drug effects and side effects, such as “Sleep Length Satisfaction”, “Sleep Quality Satisfaction”, “After Awakening” Includes “sleepiness” and “abnormal physical condition”.

  The correlation calculation unit 106 calculates the correlation between the patient medication information acquired by the medication information acquisition unit 105 and the drug dose taken by the patient acquired by the dose information acquisition unit 104. For example, the correlation calculation unit 106 calculates the scatter diagrams shown in FIGS. The correlation calculation unit 106 displays a scatter diagram representing the correlation between the medication information and the dose on the display. The doctor can determine an appropriate dose for the patient with reference to the scatter diagram as the correlation result displayed on the display.

  In addition, the correlation calculation part 106 can also calculate the distribution showing the relationship between the medication date and the dose shown in FIG. Thereby, the doctor can confirm how much medicine the patient actually took during the taking period based on the determined prescription pattern.

  The operation receiving unit 107 receives a doctor's operation such as an operation for selecting a medicine to be prescribed to a patient and a capacity change pattern, and supplies the operation signal to a predetermined block.

  The storage unit 108 stores data and parameters necessary for the doctor PC 14 to execute various operations.

  The doctor PC 14 has at least the above configuration.

  FIG. 33 shows a functional block diagram of the smartphone 11.

  The smartphone 11 has a sensor signal acquisition / biological information calculation unit 140, a prescription pattern acquisition unit 141, a medication pattern acquisition unit 142, a question content information acquisition unit 143, a medication, when an arithmetic processing unit such as a CPU executes a medication management program An instruction unit 144, a medication information acquisition unit 145, a medication information transmission unit 146, an operation reception unit 147, and a storage unit 148 are configured.

  The sensor signal acquisition / biological information calculation unit 140 acquires the sensor signal transmitted from the wristband 12 and calculates the biological information of the patient. In the present embodiment, the sensor signal acquisition / biological information calculation unit 140 calculates the sleep time, the sleep onset latency, and the number of midway awakenings as the biological information of the patient from the sensor signal transmitted from the wristband 12.

  The prescription pattern acquisition unit 141 acquires the type of medicine to be taken and the prescription pattern in which the dosage of the dosage unit is randomly changed. For example, the prescription pattern acquisition unit 141 decodes the two-dimensional barcode printed on the prescription description sheet, and acquires the medicine “X”, the prescription ID “683297”, and the prescription pattern “A1” recorded there. .

  The medication pattern acquisition unit 142 accesses the medication pattern DB 24 and acquires medication pattern information corresponding to the medicine and the prescription pattern acquired by the prescription pattern acquisition unit 141. For example, when the medication pattern acquisition unit 142 transmits the medicine “X” and the prescription pattern “A1” to the medication pattern DB 24, “before going to bed” is obtained as the medication pattern information based on the content of the medication pattern DB 24 of FIG. Is done.

  The question content information acquisition unit 143 accesses the question content DB 25 and acquires the question content information corresponding to the medicine and the prescription pattern acquired by the prescription pattern acquisition unit 141. For example, when the question content information acquisition unit 143 transmits the medicine “X” and the prescription pattern “A1” to the question content DB 25, “satisfaction of sleep length” based on the content of the question content DB 25 in FIG. It is obtained that the patient is asked five questions about "satisfaction of sleep quality", "sleepiness after waking up", and "abnormality of physical condition". In addition, a warning threshold value that is a threshold value for issuing a warning to a patient when asking a question using the five-method method is also acquired. Furthermore, timing information specifying timing for presenting a question is also acquired as part of the question content information.

  The medication instruction unit 144 instructs the patient to take medication based on the medication pattern information acquired from the medication pattern DB 24 by the medication pattern acquisition unit 142. For example, the medication instruction unit 144 displays the message “Please take the medicine in the package labeled No. 25 today” shown in FIG. 15 on the screen. Further, for example, as shown in FIG. 16, the medication instruction unit 144 displays a message “Please take a two-dimensional barcode of the medicine package to be taken today” on the screen and tells the patient which medicine to take. Let me register.

  The medication information acquisition unit 145 acquires the medication information, which is information related to the physical condition of the patient who has taken the medicine having the dosage of the prescription pattern acquired by the prescription pattern acquisition unit 141. As described above, the medication information, which is information related to the patient's physical condition, includes the patient's biological information and subjective evaluation information regarding the effects and side effects of the medication taken. As the patient biometric information, the sleep time, the sleep latency, and the number of midway awakenings calculated by the sensor signal acquisition / biometric information calculation unit 140 are acquired. Subjective evaluation information on the effects and side effects of the drugs taken includes “satisfaction of sleep length”, “satisfaction of sleep quality”, “sleepiness after waking up” based on the questionnaire results after taking the drug. And “abnormal changes in physical condition” are acquired.

  The medication information transmission unit 146 transmits the medication information acquired by the medication information acquisition unit 145 to the medication status DB 26 which is another device together with the prescription ID and the packaging number.

  The operation reception unit 147 receives a patient operation such as an input operation on the questionnaire screen and supplies the operation signal to a predetermined block.

  The storage unit 148 stores data, parameters, and the like that are necessary when the smartphone 11 executes various operations.

  The smartphone 11 has at least the above configuration.

  In the information processing system 1 configured as described above, when a doctor prescribes a medicine to a patient, the doctor and the patient do not know how much medicine is to be taken on a specific day. Can be prescribed. Thereby, since double blind property can be ensured, the appropriate dosage which excluded the psychological influence can be determined.

  In addition, since the effectiveness of the medicine varies depending on the patient, it is not a statistically average patient image, and the dosage can be adjusted according to individual patients. Since the correlation with the dosage is known at a glance, the dosage can be adjusted with high convincing. It is possible to continue to automatically adjust the prescription dose to an optimum dose that balances the effects and side effects.

<9. Hardware configuration>
Next, a hardware configuration of the information processing apparatus according to the embodiment of the present disclosure will be described with reference to FIG.

  FIG. 34 is a block diagram illustrating a hardware configuration example of the information processing apparatus according to the embodiment of the present disclosure.

  The information processing apparatus 200 illustrated in FIG. 34 can realize, for example, the smartphone 11, the pharmacy PC 13, the doctor PC 14, or the DB server apparatus of the random prescription pattern DB 21 to the medication status DB 26 in the above-described embodiment.

  The information processing apparatus 200 includes a central processing unit (CPU) 201, a read only memory (ROM) 203, and a random access memory (RAM) 205. The information processing apparatus 200 may include a host bus 207, a bridge 209, an external bus 211, an interface 213, an input device 215, an output device 217, a storage device 219, a drive 221, a connection port 223, and a communication device 225. Furthermore, the information processing device 200 may include an imaging device 233 and a sensor 235 as necessary. The information processing apparatus 200 may include a processing circuit such as a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), or an FPGA (Field-Programmable Gate Array) instead of or in addition to the CPU 201.

  The CPU 201 functions as an arithmetic processing device and a control device, and controls the overall operation or a part thereof in the information processing device 200 according to various programs recorded in the ROM 203, RAM 205, storage device 219, or removable recording medium 227. The ROM 203 stores programs and calculation parameters used by the CPU 201. The RAM 205 primarily stores programs used in the execution of the CPU 201, parameters that change as appropriate during the execution, and the like. The CPU 201, the ROM 203, and the RAM 205 are connected to each other by a host bus 207 constituted by an internal bus such as a CPU bus. Further, the host bus 207 is connected to an external bus 211 such as a PCI (Peripheral Component Interconnect / Interface) bus via a bridge 209.

  The input device 215 is a device operated by the user, such as a mouse, a keyboard, a touch panel, a button, a switch, and a lever. The input device 215 may be, for example, a remote control device using infrared rays or other radio waves, or may be an external connection device 229 such as a mobile phone corresponding to the operation of the information processing device 200. The input device 215 includes an input control circuit that generates an input signal based on information input by the user and outputs the input signal to the CPU 201. The user operates the input device 215 to input various data and instruct processing operations to the information processing device 200.

  The output device 217 is configured by a device capable of notifying the acquired information to the user using a sense such as vision, hearing, or touch. The output device 217 can be, for example, a display device such as an LCD (Liquid Crystal Display) or an organic EL (Electro-Luminescence) display, an audio output device such as a speaker or headphones, or a vibrator. The output device 217 outputs the result obtained by the processing of the information processing device 200 as video such as text or image, sound such as sound or sound, or vibration.

  The storage device 219 is a data storage device configured as an example of a storage unit of the information processing device 200. The storage device 219 includes, for example, a magnetic storage device such as an HDD (Hard Disk Drive), a semiconductor storage device, an optical storage device, or a magneto-optical storage device. The storage device 219 stores, for example, programs executed by the CPU 201 and various data, and various data acquired from the outside.

  The drive 221 is a reader / writer for a removable recording medium 227 such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory, and is built in or externally attached to the information processing apparatus 200. The drive 221 reads information recorded on the mounted removable recording medium 227 and outputs the information to the RAM 205. Further, the drive 221 writes a record in the mounted removable recording medium 227.

  The connection port 223 is a port for connecting a device to the information processing apparatus 200. The connection port 223 can be, for example, a USB (Universal Serial Bus) port, an IEEE1394 port, a SCSI (Small Computer System Interface) port, or the like. The connection port 223 may be an RS-232C port, an optical audio terminal, an HDMI (registered trademark) (High-Definition Multimedia Interface) port, or the like. By connecting the external connection device 229 to the connection port 223, various data can be exchanged between the information processing apparatus 200 and the external connection device 229.

  The communication device 225 is a communication interface configured with, for example, a communication device for connecting to the communication network 231. The communication device 225 can be, for example, a communication card for LAN (Local Area Network), Bluetooth (registered trademark), Wi-Fi, or WUSB (Wireless USB). Further, the communication device 225 may be a router for optical communication, a router for ADSL (Asymmetric Digital Subscriber Line), a modem for various communication, or the like. The communication device 225 transmits and receives signals and the like using a predetermined protocol such as TCP / IP with the Internet and other communication devices, for example. The communication network 231 connected to the communication device 225 is a wired or wireless network, and may include, for example, the Internet, a home LAN, infrared communication, radio wave communication, satellite communication, or the like.

  The imaging device 233 uses, for example, an imaging element such as a complementary metal oxide semiconductor (CMOS) or a charge coupled device (CCD), and various members such as a lens for controlling the formation of a subject image on the imaging element. It is an apparatus that images a real space and generates a captured image. The imaging device 233 may capture a still image, or may capture a moving image.

  The sensor 235 is, for example, various sensors such as an acceleration sensor, an angular velocity sensor, a geomagnetic sensor, an illuminance sensor, a temperature sensor, an atmospheric pressure sensor, or a sound sensor (microphone). The sensor 235 obtains information related to the state of the information processing device 200 itself, such as the posture of the housing of the information processing device 200, and information related to the surrounding environment of the information processing device 200, such as brightness and noise around the information processing device 200. To do. Sensor 235 may also include a GPS receiver that receives GPS (Global Positioning System) signals and measures the latitude, longitude, and altitude of the device.

  Heretofore, an example of the hardware configuration of the information processing apparatus 200 has been shown. Each component described above may be configured using a general-purpose member, or may be configured by hardware specialized for the function of each component. Such a configuration can be appropriately changed according to the technical level at the time of implementation.

  Embodiments of the present disclosure include, for example, an information processing apparatus (smartphone 11, pharmacy PC13, or doctor PC14), a system (information processing system 1), an information processing apparatus or an information processing executed as described above. It may include a method, a program for causing the information processing apparatus to function, and a non-transitory tangible medium on which the program is recorded.

<10. Supplement>
Embodiments of the present technology are not limited to the above-described embodiments, and various modifications can be made without departing from the gist of the present technology.

  In the above-described embodiment, an example of prescribing a sleeping pill and taking an example of determining an appropriate dose while ensuring double blindness has been described, but the present technology may be applied to drugs other than sleeping pills. it can. The drug can be applied to, for example, an internal medicine (internal medicine), an external medicine or an injection. In addition, it is considered to be particularly effective for drugs that are thought to be greatly influenced by psychological factors such as sleeping pills and anxiolytic drugs.

  In the case of a long-acting drug with a long half-life, by setting the dosage so that the randomness of the dosage varies depending on the half-life period, Can be applied.

  Furthermore, this technology is not limited to drugs for treating diseases, but supplements for beauty or health (dietary supplements), insurance functional foods, foods for specified health use, functional nutritional foods, functional indication foods, health foods, etc. It can also be applied to ingredients (substances) of foods that are expected to have certain effects and efficacy when eaten or consumed. For example, supplement A and supplement B can be taken at random, and the effect of supplement A or B can be confirmed by calculating the correlation between the type of supplement taken and the questionnaire result indicating the effect.

  In the case of foods such as the above-mentioned supplements and insurance functional foods, the above-mentioned drug dose corresponds to the content of a component (substance) that provides a certain effect.

  In addition, the present technology may be applied to effect measurement such as strength setting of beauty equipment.

  In order to ensure the blindness when checking the effect of the above-mentioned supplements or setting the strength of beauty equipment, a method for providing the patient with a random dose without giving knowledge about the dose to the patient. An alternative method corresponding to is required. If the effects of health foods A and B are compared, the purpose of providing a random amount without knowing the user's blending amount can be achieved by adding a miller capable of arbitrarily adjusting the blending amount to the system. Alternatively, the service provider having a role corresponding to the dispensing pharmacy can also achieve the object by providing the mixed packaged food. In addition, if the objective can be achieved by a simple blind test at the expense of double blindness, a smartphone application that asks the user's family collaborators to mix food and set up the equipment can be added to the system. Can be achieved.

  A part of the above-described embodiments can be selected and combined appropriately.

  The present technology can take a cloud computing configuration in which one function is shared by a plurality of devices via a network and is processed jointly. That is, some of the functions performed by the smartphone 11, the pharmacy PC 13, and the doctor PC 14 may be executed on the cloud.

  Each step described in the above-described flowchart can be executed by one apparatus or can be shared by a plurality of apparatuses. Further, when a plurality of processes are included in one step, the plurality of processes included in the one step can be executed by being shared by a plurality of apparatuses in addition to being executed by one apparatus.

  The effects described in this specification are merely examples and are not limited, and there may be effects other than those described in this specification.

  In this specification, the steps described in the flowchart are not necessarily processed in chronological order, but are performed in parallel or when they are called in chronological order according to the described order. It may be executed at a necessary timing.

  In this specification, the system means a set of a plurality of components (devices, modules (parts), etc.), and it does not matter whether all the components are in the same housing. Accordingly, a plurality of devices housed in separate housings and connected via a network and a single device housing a plurality of modules in one housing are all systems. .

In addition, this technique can also take the following structures.
(1)
An information processing apparatus comprising: a prescription pattern determining unit that determines a prescription pattern in which a dosage of a dosage unit is randomly changed according to a volume change pattern of a dosage.
(2)
A capacitance change pattern selection unit that selects the capacitance change pattern;
The information processing apparatus according to (1), wherein the prescription pattern determination unit determines the prescription pattern corresponding to the capacity change pattern selected by the capacity change pattern selection unit.
(3)
The information processing apparatus according to (1) or (2), further including: an output unit that outputs prescription identification information for identifying a prescription and the prescription pattern.
(4)
The information processing apparatus according to (3), wherein the output unit outputs the prescription pattern and the prescription identification information as a two-dimensional barcode.
(5)
A dosage information acquisition unit for acquiring the dosage of the prescription pattern;
A medication information acquisition unit that acquires medication information that is information related to the physical condition of the patient who has taken the above-mentioned dose;
The information processing apparatus according to any one of (1) to (4), further including a correlation calculation unit that calculates a correlation between the medication information and the dose.
(6)
The information processing apparatus according to (5), wherein the medication information includes biological information of a patient.
(7)
The information processing apparatus according to (5) or (6), wherein the medication information includes subjective evaluation information regarding effects and side effects of the medication taken.
(8)
The information processing apparatus according to any one of (1) to (7), wherein the capacity change pattern includes at least a pattern for gradually increasing a dose and a pattern for gradually decreasing a dose.
(9)
When the volume change pattern is a pattern for gradually decreasing the dosage, the dosage of the dosage unit based on the determined prescription pattern includes the dosage of the preliminary dosage unit at the time of occurrence of a side effect (1) to ( The information processing apparatus according to any one of 8).
(10)
Information processing device
An information processing method for determining a prescription pattern in which a dosage of a dosage unit is randomly changed according to a volume change pattern of a dosage.
(11)
Computer
A program for functioning as a prescription pattern determining unit that determines a prescription pattern in which the dosage of a dosage unit is randomly varied according to the volume change pattern of the dosage.
(12)
A prescription pattern acquisition unit that acquires a type of medicine to be taken and a prescription pattern in which the dosage of a dosage unit is randomly changed;
An information processing apparatus comprising: a medication instruction unit that instructs a patient to take medication based on medication pattern information acquired based on the type of medication and the prescription pattern.
(13)
A medication information acquisition unit that acquires medication information that is information related to the physical condition of the patient who has taken the dosage of the prescription pattern based on the medication pattern information;
The information processing apparatus according to (12), further comprising: a medication information transmission unit that transmits the medication information to another device.
(14)
The information processing apparatus according to (13), wherein the medication information acquisition unit acquires patient biometric information from the biosensor as the medication information.
(15)
The information processing apparatus according to (13) or (14), wherein the medication information acquisition unit acquires, as the medication information, subjective evaluation information regarding effects and side effects of the medicine taken.
(16)
The information processing apparatus according to any one of (13) to (15), wherein when the acquired medication information indicates a side effect, the medication instruction unit switches to a medication instruction when a side effect occurs.
(17)
Information processing device
Get the type of medication you take and the prescription pattern that randomly varies the dose of the unit you take,
An information processing method for instructing a patient to take medication based on medication pattern information acquired based on the type of medication and the prescription pattern.
(18)
Computer
A prescription pattern acquisition unit that acquires a type of medicine to be taken and a prescription pattern in which the dosage of a dosage unit is randomly changed;
The program for functioning as a medication information instruction | indication part which instruct | indicates a patient to a medication based on the medication pattern information acquired based on the kind and said prescription pattern of the said medication.

  1 Information processing system, 11 Smartphone, 12 Wristband, 13 PC (Pharmacy PC), 14 PC (Doctor PC), 21 Random prescription pattern DB, 22 Prescription DB, 23 Medication DB, 24 Medication pattern DB, 25 Question content DB , 26 Medication status DB, 31 Pulse wave sensor, 32 Acceleration sensor, 101 Capacity change pattern selection unit, 102 Prescription pattern determination unit, 103 Prescription pattern output unit, 104 Medication information acquisition unit, 105 Medication information acquisition unit, 106 Correlation calculation 140, sensor signal acquisition / biological information calculation unit, 141 prescription pattern acquisition unit, 142 medication pattern acquisition unit, 143 question content information acquisition unit, 144 medication instruction unit, 145 medication information acquisition unit, 146 medication information transmission unit, 200 information Processing device, 201 CPU, 203 ROM, 20 RAM, 215 input unit, 217 output unit, 219 storage device, 221 drive, 225 communication device

Claims (18)

An information processing apparatus comprising: a prescription pattern determining unit that determines a prescription pattern in which a dosage of a dosage unit is randomly changed according to a volume change pattern of a dosage. A capacitance change pattern selection unit that selects the capacitance change pattern;
The information processing apparatus according to claim 1, wherein the prescription pattern determination unit determines the prescription pattern corresponding to the capacity change pattern selected by the capacity change pattern selection unit. The information processing apparatus according to claim 1, further comprising: an output unit that outputs prescription identification information for identifying a prescription and the prescription pattern. The information processing apparatus according to claim 3, wherein the output unit outputs the prescription pattern and the prescription identification information as a two-dimensional barcode. A dosage information acquisition unit for acquiring the dosage of the prescription pattern;
A medication information acquisition unit that acquires medication information that is information related to the physical condition of the patient who has taken the above-mentioned dose;
The information processing apparatus according to claim 1, further comprising: a correlation calculation unit that calculates a correlation between the medication information and the dose. The information processing apparatus according to claim 5, wherein the medication information includes biological information of a patient. The information processing apparatus according to claim 5, wherein the medication information includes subjective evaluation information regarding effects and side effects of the medication taken. The information processing apparatus according to claim 1, wherein the capacity change pattern includes at least a pattern for gradually increasing a dose and a pattern for gradually decreasing the dose. The dosage of a dosage unit based on the determined prescription pattern includes a dosage of a spare dosage unit at the time of occurrence of a side effect when the volume change pattern is a pattern for gradually decreasing the dosage. Information processing device. Information processing device
An information processing method for determining a prescription pattern in which a dosage of a dosage unit is randomly changed according to a volume change pattern of a dosage. Computer
A program for functioning as a prescription pattern determining unit that determines a prescription pattern in which the dosage of a dosage unit is randomly varied according to the volume change pattern of the dosage. A prescription pattern acquisition unit that acquires a type of medicine to be taken and a prescription pattern in which the dosage of a dosage unit is randomly changed;
An information processing apparatus comprising: a medication instruction unit that instructs a patient to take medication based on medication pattern information acquired based on the type of medication and the prescription pattern. A medication information acquisition unit that acquires medication information that is information related to the physical condition of the patient who has taken the dosage of the prescription pattern based on the medication pattern information;
The information processing apparatus according to claim 12, further comprising: a medication information transmission unit configured to transmit the medication information to another device. The information processing apparatus according to claim 13, wherein the medication information acquisition unit acquires patient biometric information from the biosensor as the medication information. The information processing apparatus according to claim 13, wherein the medication information acquisition unit acquires subjective evaluation information regarding the effects and side effects of the medicine taken as the medication information. The information processing apparatus according to claim 13, wherein the medication instruction unit switches to a medication instruction when a side effect occurs when the obtained medication information indicates a side effect. Information processing device
Get the type of medication you take and the prescription pattern that randomly varies the dose of the unit you take,
An information processing method for instructing a patient to take medication based on medication pattern information acquired based on the type of medication and the prescription pattern. Computer
A prescription pattern acquisition unit that acquires a type of medicine to be taken and a prescription pattern in which the dosage of a dosage unit is randomly changed;
The program for functioning as a medication information instruction | indication part which instruct | indicates a patient to a medication based on the medication pattern information acquired based on the kind and said prescription pattern of the said medication.

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