JP6807015B2 - Information processing equipment, information processing methods, and programs - Google Patents

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 capable of determining an appropriate dosage without psychological effects.

In general, the amount of a drug taken by a patient is determined based on information such as body weight and age, as well as symptoms and biological data. However, in the case of drugs that are affected by psychological factors, such as sleeping pills and anxiolytics, the dose changes because the patient's perception that the dose has been changed affects the strength of the placebo effect. In some cases, it was not possible to distinguish between changes due to this and changes in the placebo effect, and it was not possible to determine an appropriate dosage.

A double-blind test method generally exists as a means for eliminating a psychological effect such as a placebo effect, and is used for confirming a difference in effect depending on drug selection, for example, as in the technique disclosed in Patent Document 1. There are examples where the double-blind test method is used.

JP-A-2002-95641

However, the determination of the appropriate amount of a certain drug is not disclosed in Patent Document 1.

This technique was made in view of such a situation, and makes it possible to determine an appropriate dosage without psychological effects.

The information processing apparatus of the first aspect of the present technology has a range of upper and lower limit values of each volume change pattern of the dose including at least a first pattern for gradually increasing the dose and a second pattern for gradually decreasing the dose. It is provided with a prescription pattern determination unit that determines a prescription pattern in which the dosage of the dosage unit is randomly changed.

In the information processing method of the first aspect of the present technology, the information processing apparatus has an upper limit value of each volume change pattern of the dosage including at least a first pattern of gradually increasing the dosage and a second pattern of gradually decreasing the dosage. And within the range of the lower limit , a prescription pattern in which the dosage of the dosage unit is randomly changed is determined.

The program of the first aspect of the present technology allows the computer to set the upper and lower limits of each volume change pattern of the dosage including at least the first pattern of gradual increase in dosage and the second pattern of gradual decrease of dosage . The purpose is to function as a prescription pattern determination unit that determines a prescription pattern in which the dosage of a dosage unit is randomly changed within the range .

In the first aspect of the present technology, within the range of the upper limit value and the lower limit value of each volume change pattern of the dose including at least the first pattern of gradually increasing the dose and the second pattern of gradually decreasing the dose . A prescription pattern in which the dosage of the dosage unit is randomly changed is determined.

The information processing device of the second aspect of the present technology includes a prescription pattern acquisition unit that acquires a type of drug to be taken and a prescription pattern in which the dosage of each dose is randomly changed, and the type of drug and the prescription. Based on the medication pattern information acquired based on the pattern, the medication instruction unit is provided to instruct the patient to take the medication by displaying the medication instruction information on the display unit at the timing of taking the drug.

In the information processing method of the second aspect of the present technology, the information processing device acquires the type of the drug to be taken and the prescription pattern in which the dose of the dose unit is randomly changed, and the type of the drug and the prescription are obtained. Based on the medication pattern information acquired based on the pattern , the patient is instructed to take the drug by displaying the medication instruction information on the display unit at the timing of taking the drug .

The program of the second aspect of the present technology uses a computer to acquire a prescription pattern acquisition unit that acquires a type of drug to be taken and a prescription pattern in which the dosage of each dose is randomly changed, and the type of drug and the above. Based on the medication pattern information acquired based on the prescription pattern , the medication instruction information is displayed on the display at the timing of taking the drug, thereby functioning as the medication information indicator for instructing the patient to take the drug. is there.

In the second aspect of the present technology, the type of the drug to be taken and the prescription pattern in which the dosage of the dose unit is randomly changed are acquired, and are acquired based on the type of the drug and the prescription pattern. Based on the medication pattern information , the patient is instructed to take the medicine by displaying the medication instruction information on the display unit at the timing of taking the medicine .

In addition to medicines for treating illnesses, the above drugs include beauty or health maintenance supplements (nutritional supplements), insurance functional foods, specified health foods, nutritional functional foods, functional foods, health foods, etc. It also includes food ingredients (substances) that are expected to have a certain effect when eaten or eaten.

When a drug represents a component (substance) of a food that is expected to have a certain effect when eating or drinking supplements, insurance functional foods, etc., the above-mentioned dosage is the content of the component (substance) that brings about a certain effect. Represents.

The volume change pattern is a pattern (type) showing a tendency of volume change, such as increasing or decreasing the dose of a drug 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 dosage are determined according to the dose change pattern with respect to the elapsed period from the dosing start date. Dosage pattern information is information about when a patient should take the drug.

The program can be provided by transmitting via a transmission medium or by recording on a recording medium.

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

According to the first and second aspects of the present technique, it is possible to determine an appropriate dosage without psychological effects.

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 which shows the configuration example of the information processing system to which this technology is applied. It is a figure which shows the example of a random prescription pattern DB. It is a figure which shows the example of the prescription DB. It is a figure which shows the example of the dosage DB. It is a figure which shows the example of the dosing pattern DB. It is a figure which shows the example of the question content DB. It is a figure which shows the example of the medication status DB. It is a flowchart explaining the 1st process until a patient receives a prescription. It is a figure which shows the example of the dosage of the prescription pattern "A1". It is a figure which shows the example of the drug sheet of a tablet. It is a flowchart explaining the 2nd process until a patient receives a prescription. It is a conceptual diagram of a drug produced by a packaging machine. It is a flowchart explaining the processing during a dosing period. It is a flowchart explaining the processing during a dosing period. It is a figure which shows the screen example of a medication instruction. It is a figure which shows the screen example of a medication instruction. It is a figure which shows the example of the questionnaire screen. It is a flowchart explaining the process after the end of a medication period. It is a figure which shows the example of the correlation result which showed the correlation between the amount of medicine contained in the medicine of the taking unit and sleep time by a scatter diagram. It is a figure which shows the example of the correlation result which showed the correlation between the dose contained in the medicine of the dose unit and sleep onset latency by a scatter diagram. It is a figure which shows the example of the correlation result which showed the correlation between the dose contained in the medicine of the unit of administration, and the sleep subjective evaluation by a scatter diagram. It is a figure which shows the example of the correlation result which showed the correlation between the dose contained in the medicine of the unit of administration, and the subjective evaluation of side effects by a scatter diagram. It is a figure which shows the example of the correlation result of the amount of medicine contained in the medicine of the taking unit and sleep time. It is a figure which shows the example of the correlation result between the amount of medicine contained in the medicine of the unit of administration, and sleep onset latency. It is a figure which shows the example of the correlation result of the dose contained in the medicine of the unit of administration, and the subjective evaluation of side effects. It is a figure which shows the example of the dosage of the prescription pattern “B1”. It is a figure which shows the example of the correlation result of the amount of medicine contained in the medicine of the taking unit and sleep time. It is a figure which shows the example of the correlation result of the dose contained in the medicine of the unit of administration, and the subjective evaluation of side effects. It is a figure which shows the example of the correlation result of the amount of medicine contained in the medicine of the taking unit and sleep time. It is a figure which shows the example of the correlation result of the dose contained in the medicine of the unit of administration, and the subjective evaluation of side effects. It is a figure which shows the example of the message screen of the dose switching. It is a functional block diagram of a doctor's PC. It is a functional block diagram of a smartphone. It is a block diagram which shows the hardware structure of the information processing apparatus which concerns on embodiment of this disclosure.

Hereinafter, embodiments for carrying out the present technology (hereinafter referred to as embodiments) will be described. The explanation will be given in the following order.
1. 1. Configuration example of information processing system 2. Flowchart until the patient receives the prescription (1)
3. 3. Flowchart until the patient receives the prescription (2)
4. Flowchart during the medication period 5. Flowchart after the medication period 6. Display example of correlation result 7. Example of a prescription pattern that gradually reduces the dosage 8. Functional block diagram 9. Hardware configuration 10. Supplement

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

The information processing system 1 of FIG. 1 is a system that assists a doctor in determining an appropriate dosage when prescribing a drug to a patient.

In this embodiment, an example of prescribing a hypnotic (also referred to as a sleep-inducing agent) as a drug prescribed to a patient by a doctor will be described. However, the techniques of the present disclosure do not apply only to hypnotics.

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 a patient, a PC 13 operated by a pharmacist in a pharmacy, and a PC 14 operated by a doctor in a clinic. In the following, in order to facilitate the distinction, the PC 13 operated by the pharmacist in the pharmacy will be referred to as the pharmacy PC 13, and the PC 14 operated by the doctor in the clinic will be 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 device used by a patient, and is not limited to the smartphone 11, but any information processing device such as a tablet terminal or a PC performs the same processing as the smartphone 11 according to the present embodiment. be able to. The same applies to the pharmacy PC13 and the doctor PC14, and the pharmacy PC13 and the doctor PC14 are examples of information processing devices that perform predetermined information processing, and a tablet terminal, a smartphone, or the like may be used instead of the pharmacy PC13 or the doctor PC14. Good.

The wristband 12 uses, for example, NFC (Near Field Communication) communication, infrared communication, and short-range wireless communication such as 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.

Further, the information processing system 1 has a random prescription pattern DB21, a prescription DB22, a dosage DB23, and a medication pattern DB24 as a database (DB server device) for storing necessary information for each of the smartphone 11, the pharmacy PC13, and the doctor PC14. , Question content DB25, and medication status DB26. The random prescription pattern DB21, prescription DB22, dosage DB23, medication pattern DB24, question content DB25, and medication status DB26 may be physically composed of one DB server device, or a plurality of DB servers. It may be divided into devices.

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

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

The wristband 12 has a pulse wave sensor 31 and an acceleration sensor 32 as biosensors, and transmits sensor signals detected by these biosensors to the smartphone 11 by short-range wireless communication. The wristband 12 is worn on the wrist of a patient, for example, the pulse wave sensor 31 outputs a pulse wave signal as a sensor signal, and the acceleration sensor 32 accelerates three axes 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 biological information of the patient. In the present embodiment, since the prescribed drug is a sleeping pill, the smartphone 11 obtains the sleeping time, the sleep onset latency, and the number of awakenings as biometric information of the patient from the sensor signal transmitted from the wristband 12. calculate.

A known technique can be used for calculating the sleep time, the sleep onset latency, and the number of awakenings from the acceleration data and the pulse data, 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 person is in a sleeping state, and calculate the sleep onset latency, the wake-up time, and the number of awakenings during the sleep.

The wristband 12 may be configured to calculate the sleep time, the sleep onset latency, and the number of awakenings from the detected acceleration data and pulse data and transmit them to the smartphone 11.

The biosensor 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, as a biological sensor, a sweating sensor that measures the amount of mental sweating may be provided. The sweating sensor is useful in confirming the effect of anxiolytic ingestion. By measuring the mental sweating pattern, it is possible to estimate the time zone during which the person is tense, and the drug efficacy can be determined by the decrease in the amount of sweating. Further, for example, a blood flow rate (blood flow rate) sensor may be provided as a biological sensor. Similar to mental sweating, information on tension can be obtained from changes in peripheral blood flow velocity. In addition, the detected change in peripheral blood flow velocity can contribute to improving the accuracy of sleep determination.

The pharmacist executes the prescription information registration program on the pharmacy PC13, and inputs information about the drug described in the prescription based on the instructions of the prescription information registration program.

The pharmacy PC13 in which the prescription information registration program is executed transmits information on the dosage of the prescription prescribed by the doctor to the prescription DB 22 and has the prescription DB 22 registered.

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

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

The doctor PC 14 in which the correlation calculation program is executed calculates the correlation between the effect and side effects of the drug taken by the patient and the dose, and displays it on the display. The doctor refers to the correlation between the effect and side effects of the drug and the dose displayed on the display of the doctor PC 14, and determines the appropriate dose for the patient.

FIG. 2 shows an example of data of the random prescription pattern DB21.

The random prescription pattern DB 21 is a database that stores drug prescription patterns in response to information such as drugs and volume change patterns.

The drug name represents the name of the drug (type of drug). The volume change pattern is a pattern showing a tendency of volume change such as increasing or decreasing the dose of a drug administered to a patient. Volume change patterns include "beginning of drinking", "drug reduction", "drug withdrawal", and "dose readjustment". "Beginning of drinking" is a kind of prescription pattern for gradually increasing the dose, and "reduction" and "withdrawal" are one kind of prescription patterns for gradually reducing the dose. The prescription pattern is a pattern that specifically determines how the dosage is changed according to the dose change pattern with respect to the elapsed period from the dosing start date. Here, an example of changing the upper limit value and the lower limit value of the dose to be changed at random as parameters will be described.

With reference to the random prescription pattern DB21, the prescription pattern can be determined once the drug, volume change pattern, age, gender, and body weight information are determined. In the example of FIG. 2, the prescription pattern includes “A1”, “B1”, “C1”, “D1” for the drug “X”, and “A1”, “B1”, “C1” for the drug “Y”. , "D1" and so on. In order to determine the prescription pattern, it is essential to specify the drug and the volume change pattern, but the age, gender, and body weight can be omitted.

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

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

In the example of FIG. 3, for each prescription ID, the dosage of a predetermined drug contained in each of the n-time doses of the package numbers 1 to n is stored. In the present embodiment, the description will be described as a sachet, but the form of the drug includes tablets, capsules, liquids, powders and the like, and the form of the drug does not matter.

FIG. 4 shows an example of data of the dosage DB 23.

The dosage DB 23 is a database that stores a dose randomly determined within a 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 the combination of the drug name and the prescription pattern, and the package number 1 included in the drug sheet is defined for each sheet unique ID that identifies each drug sheet. The dosages of n drugs from to the package number n are stored. For example, when 100 kinds of drug sheets are prepared in advance for one combination of drug name and prescription pattern, for each of the 100 drug sheets, n drugs contained in the drug sheet are used. The dosage is stored. Even with the same prescription pattern, if the sheet-specific ID is different, the dosage of n drugs contained in the drug sheet is different.

FIG. 5 shows an example of data of the medication pattern DB24.

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

In the example of FIG. 5, “before bedtime” is stored as the medication pattern information for the prescription patterns “A1” and “B1” of the drug “X”. For the prescription pattern "A1" of the drug "Y", "after meals three times a day" is stored as medication pattern information. For the prescription pattern "A2" of the drug "Y", "after breakfast and dinner twice a day" is stored as the medication pattern information. For the prescription pattern "B1" of the drug "Y", "after each meal three times a day" is stored as the medication pattern information.

FIG. 6 shows an example of data of the question content DB25.

Question content DB25 is a database that stores the content of questions regarding the physical condition of the patient after taking the drug, corresponding to the combination of the drug name and the prescription pattern. The content of the patient's physical condition question includes subjective evaluation information on the effects and side effects of the drug taken.

The question content DB 25 stores as many question types, warning thresholds, and question words as the number of questions asked to the patient, corresponding to the combination of the drug name and the prescription pattern. The question type represents the method of presenting the question, and the question type is "5 question method" that allows the user to select one of the five evaluation values of "1" to "5", or "yes" or "no". The "two-case method" to be selected is defined. The warning threshold represents the threshold level at which a warning needs to be displayed with respect to the evaluation value input by the patient. For example, when the question type is "5-question method", the warning threshold value "0" indicates that no warning is required, and when the warning threshold value is a value of "1" to "5", it is equal to or less than that value. Indicates that a warning is displayed in the case of. The wording of the question is defined in the wording of the question.

In the example of FIG. 6, for the prescription pattern “A1” of the drug “X”, “satisfaction with length of sleep”, “satisfaction with quality of sleep”, “sleepiness after waking up”, and “satisfaction with sleep quality”, and “satisfaction with sleep quality”. It is stored in the question content DB25 to ask four questions about "change in physical condition" by the five-question method.

In addition, for the prescription pattern "B1" of the drug "X", "satisfaction with length of sleep", "satisfaction with quality of sleep", "sleepiness after waking up", and "change in physical condition" It is stored in the question content DB25 that four questions about the question are asked by the five-question method.

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 of "sleepiness after waking up" and "change in physical condition". Displaying a warning is stored in the question content DB25.

FIG. 7 shows an example of data of the medication status DB26.

The medication status DB26 is a database that stores information on the physical condition of the patient after medication.

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

The information on the physical condition of the patient after taking the drug includes an item on the biological information of the patient detected by the wristband 12 and an item on the question defined in the question content DB25.

Items related to the patient's biological information include sleep time, sleep onset latency, and the number of awakenings.

Question contents There are four items related to the question defined in DB25: "satisfaction with length of sleep", "satisfaction with quality of sleep", "sleepiness after waking up", and "change in physical condition". The result of the question is stored.

Therefore, the medication status DB 26 stores the biometric information of the patient detected by the biosensor and the subjective evaluation information regarding the effects and side effects of the medication taken. In addition, the medication status DB 26 may store only the biological information of the patient or only the subjective evaluation information.

In the information processing system 1 of FIG. 1 configured as described above, the doctor prescribes a drug prescription pattern to the patient according to the volume change pattern such as "beginning of drinking" and "drug reduction" on the doctor PC14. decide. The pharmacist prescribes the drug according to the prescription pattern specified by the doctor. The patient takes the prescribed drug and records information on the physical condition after taking the drug using the smartphone 11. The doctor will determine the optimal dosage based on the patient's post-dose information about physical condition.

In this information processing system 1, the doctor specifies the drug to be prescribed to the patient and the prescription pattern, but it is not known how much the drug prescribed to the patient actually contains (the amount of the active ingredient). Absent. Similarly, the patient himself does not know. Therefore, it is possible to adjust the dosage without psychological effects such as the placebo effect.

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

<2. Flowchart until the patient receives the prescription (1)>
FIG. 8 is a flowchart illustrating the first process until the patient receives the prescription.

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

In step S2, the doctor PC 14 transmits the drug selected by the doctor and the dose change pattern to the random prescription pattern DB 21 together with the patient's age, sex, and weight information registered in advance in the doctor PC 14, and transmits the prescription pattern. Request.

In step S3, the random prescription pattern DB 21 receives the prescription pattern request sent from the doctor PC 14, and determines the received parameters, that is, the prescription pattern corresponding to the drug, the volume change pattern, the age, the sex, and the body weight. And send (reply) to the doctor PC14.

As shown in FIG. 2, in the random prescription pattern DB21, prescription patterns are registered corresponding to each parameter of drug, volume change pattern, age, gender, and body weight.

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

FIG. 9 shows an example of each parameter that determines 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 maximum dose, the number of days for reaching the maximum dose upper limit, and the final minimum dose.

The minimum placebo count represents the placebo period set at the beginning of the dosing period. The initial minimum dose represents the minimum dose at the time of administration immediately after the end of the placebo period. The initial maximum dose represents the maximum dose at the time of administration immediately after the end of the placebo period. The upper limit dose represents the upper limit of the dose throughout the dosing period. For example, a prescribed dose of the drug is set as the upper limit dose. The number of days to reach the maximum dose limit represents the number of days until the maximum dose is reached. The final minimum dose represents the minimum dose on the last day of the dosing period.

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

The diamond-shaped plot in FIG. 9 represents a randomly determined dosage within the upper and lower limits. The dosage in each plot corresponds to n dosages possessed by a predetermined sheet-specific ID in the dosage 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 that the doctor grasps how much the prescribed patient takes on a specific day. It is not possible. Similarly, the prescribed patient cannot keep track of it. As a result, double blindness can be ensured. In addition, when there is a situation in which the situation in which the doctor should grasp the dosage should be prioritized over the double-blind property, the doctor may be able to refer to the dosage.

The parameters that determine the upper and lower limits of the dosage for the entire dosing period of the prescription pattern “A1” are not limited to the above-mentioned parameters, and other parameters or different parameters may be provided. For example, a lower dose parameter may be provided to allow a 0.00 mg dose of placebo to be taken even after the placebo period has expired.

Returning to FIG. 8, when the doctor PC 14 receives the prescription pattern “A1” transmitted from the random prescription pattern DB 21 in step S4, the doctor PC 14 transmits a request for a new prescription ID to the prescription DB 22. The prescription ID is prescription identification information that identifies the prescription to the patient and is assigned by the prescription DB 22. Prescription IDs are assigned to each drug. For example, when two types of drugs are prescribed to a patient, two prescription IDs correspond to one prescription.

In step S5, the prescription DB 22 receives the request for the new prescription ID sent from the doctor PC 14, generates a new prescription ID, and returns it 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, the n doses of the package numbers 1 to n recorded corresponding to the prescription ID “683297” have not yet been 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 the prescription creation operation, encodes the drug “X”, the prescription ID “683297”, and the prescription pattern “A1” on the prescription with a two-dimensional barcode and prints it. The drug "X", the prescription ID "683297", and the prescription pattern "A1" may be printed in characters without being encoded in the two-dimensional barcode.

The above is the process until the doctor prepares the prescription at the clinic.

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

The pharmacist receives the prescription from the patient and has the pharmacy PC13 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 drug “X”, the prescription ID “683297”, and the prescription pattern “A1”.

In the above-mentioned example, the drug “X”, the prescription ID “683297”, and the prescription pattern “A1” are recorded on a prescription, which is a paper medium, with a two-dimensional bar code, and the information is transmitted from the doctor via the patient. Although it is communicated to the pharmacist, an electronic prescription may be used. When the electronic prescription is used, the information of the drug “X”, the prescription ID “683297”, and the 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 the information sent as an electronic prescription from the doctor PC 14.

As a result of reading the two-dimensional barcode, the drug “X”, the prescription ID “683297”, and the prescription pattern “A1” are displayed on the display of the pharmacy PC13. In step S12, the pharmacist confirms the displayed drug “X”, prescription ID “683297”, and prescription pattern “A1”, and obtains the drug sheet of the prescription pattern “A1” of the drug “X” from the drug shelf. To do.

That is, with respect to 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", and a plurality of types of drugs prepared in advance by the pharmaceutical company. The sheet is placed on the shelf of the prescription pattern "A1" for the drug "X" on the drug shelf. The pharmacist selects any one drug sheet placed on the shelf of the prescription pattern “A1” of the drug “X” on the drug shelf.

For example, when the prescribed drug is a tablet drug sheet, as shown in FIG. 10, the drug sheet is printed with a sheet unique ID “16378954” that identifies the drug sheet and its two-dimensional barcode. There is. In addition, a number for identifying the tablet is also printed on the drug sheet.

In step S13, the pharmacy PC 13 reads the two-dimensional barcode of the selected drug sheet according to the operation of the pharmacist, and acquires the sheet unique ID of the drug sheet. The pharmacist may input the sheet-specific ID printed on the drug sheet into the pharmacy PC13, and the pharmacy PC13 may acquire the input sheet-specific ID.

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

In step S15, the prescription DB 22 receives the drug “X”, the prescription ID “683297”, the prescription pattern “A1”, and the sheet unique ID “16378954” transmitted from the pharmacy PC13. Further, in step S15, the prescription DB 22 transmits the drug “X”, the prescription pattern “A1”, and the sheet-specific ID “16378954” to the dosage DB 23, and inquires about the dosage of the sheet-specific ID “16378954”.

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

In step S17, the prescription DB 22 uses the dosages of the package numbers 1 to n corresponding to the combination of the drug “X”, the prescription pattern “A1”, and the sheet unique ID “16378954” transmitted from the dosage DB 23. , Register in the corresponding sheet-specific ID column of the prescription DB22. As a result, as shown in FIG. 3, n dosages of package numbers 1 to n are recorded in the line of prescription ID “683297”.

In step S18, the pharmacy PC 13 prints a two-dimensional barcode on the prescription explanation sheet to be given to the patient. The two-dimensional barcode printed here is encoded with the same information as the two-dimensional barcode printed on the prescription, that is, the drug "X", the prescription ID "683297", and the prescription pattern "A1". The pharmacist gives the patient a prescription explanation sheet with a two-dimensional barcode printed on it along with the medicine.

This completes the process until the patient is prescribed the drug at the pharmacy.

<3. Flowchart until the patient receives the prescription (2)>
FIG. 11 is a flowchart illustrating a second process until the patient receives the prescription.

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

On the other hand, FIG. 11 is a flowchart when a pharmacist prescribes a powdered drug in a dosage of the prescription pattern “A1”.

In FIG. 11, the processes of steps S1 to S7 performed in the clinic are the same as those in FIG. 8, and the description thereof will be omitted.

In FIG. 11, the processes of steps S11 to S18 of FIG. 8 are replaced with steps S21 to S28.

The pharmacist receives the prescription from the patient and has the pharmacy PC13 read the two-dimensional barcode printed on the prescription. In step S21, the pharmacy PC 13 reads the two-dimensional bar code printed on the prescription and detects the drug “X”, the prescription ID “683297”, and the prescription pattern “A1”.

In step S22, the pharmacy PC 13 randomly determines a predetermined sheet-specific ID from a large number of sheet-specific IDs prepared by combining the drug “X” and the prescription pattern “A1”. Alternatively, the pharmacy PC 13 may randomly generate a number equal to the number of digits of the sheet-specific ID, and determine the number determined thereby as the sheet-specific ID. The sheet unique ID determined here is also assumed to be "16378954" as described in the flowchart of FIG.

Next, in step S23, the pharmacy PC13 transmits the determined sheet-specific ID “16378954”, the drug “X”, and the prescription pattern “A1” to the dose DB23, and the dose of the sheet-specific ID “16378954”. Inquire. As shown in FIG. 4, the dosage DB 23 stores the dosages of n drugs corresponding to the combination of the drug name, the prescription pattern, and the sheet-specific ID.

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

In step S25, the pharmacy PC13 determines the dosage of the package numbers 1 to n corresponding to the combination of the drug “X”, the prescription pattern “A1”, and the sheet unique ID “16378954” transmitted from the dosage DB 23. Receive and transfer to the packaging machine. The packaging machine packages the drug in the set dosage. At this time, the packaging machine adjusts the amount of excipient so that the total amount does not change, and mixes placebo with almost the same taste so that the total amount with the dosage is the same between the packaging. It is possible to take measures to prevent the patient from recognizing the amount.

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

In step S26, the pharmacy PC 13 transmits the prescription ID “683297” and the prescribed dosages of the package numbers 1 to n to the prescription DB 22.

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

In step S28, the pharmacy PC 13 prints a two-dimensional barcode on the prescription explanation sheet to be given to the patient. The two-dimensional barcode printed here is encoded with the same information as the two-dimensional barcode printed on the prescription, that is, the drug "X", the prescription ID "683297", and the prescription pattern "A1". The pharmacist gives the patient a prescription explanation sheet with a two-dimensional barcode printed on it along with the drug.

This completes the process performed at the pharmacy when prescribing powdered medicine.

In the above-mentioned process, the dosage was determined by inquiring the dosage DB23 based on the randomly determined sheet-specific ID, but the pharmacy PC13 did not use the dosage DB23. The amount may be determined.

In that case, if the pharmacy PC13 has 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 maximum dose, and the maximum number of days to reach the maximum dose. , And each parameter of the final minimum dosage is stored, and the dosage for the number of doses is randomly determined using a random number within the range of the upper limit value and the lower limit value of the prescription pattern "A1". The processes of steps S23 and S24 described above are omitted.

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

<4. Flowchart during the medication period>
Next, the treatment during the medication period of the patient will be described with reference to the flowcharts of FIGS. 13 and 14.

FIG. 13 is a flowchart illustrating a process performed when a patient begins taking medication.

First, the patient has the smartphone 11 read the two-dimensional barcode printed on the prescription explanation sheet given by the pharmacy. In step S51, the smartphone 11 reads the two-dimensional bar code printed on the prescription explanation sheet and detects the drug “X”, the prescription ID “683297”, and the prescription pattern “A1”.

In step S52, the smartphone 11 transmits the drug “X” read from the two-dimensional barcode and the prescription pattern “A1” to the dosing pattern DB 24, and inquires about the dosing pattern. As shown in FIG. 5, the medication pattern DB 24 stores medication pattern information corresponding to the combination of the drug and the prescription pattern.

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

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

In step S55, the question content DB 25 receives the drug “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 as many question types, warning thresholds, and question words as the number of questions asked to the patient, corresponding to the combination of the drug and the prescription pattern. As the question content information, the question content DB 25 returns the question type, the warning threshold value, and the question wording corresponding to the combination of the drug and the prescription pattern to the smartphone 11 as the question content information. In addition, the question content information also includes timing information that specifies the timing for asking the question according to the type of drug or the medication pattern information. For example, in the case of sleeping pills, timing information indicating that the question screen is displayed in the morning after waking up is stored as a part of the question content information.

The processes of steps S52 and S53 and the processes of steps S54 and S55 described above may be executed in parallel or in the reverse order. Further, the processes of steps S51 to S55 may be executed by the pharmacist operating the patient's smartphone 11 at the pharmacy.

By the processing of steps S51 to S55, the timing of taking the prescribed drug, the content of asking the patient after taking the prescribed drug, and the content of biological information calculated from the acceleration data and pulse data detected by the wristband 12 on the smartphone 11. Is recognized.

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

That is, the smartphone 11 instructs the patient to take the medicine in step S61. For example, as shown in FIG. 15, the 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 taken the medicine with the predetermined identification number. Instruct to do. In addition, the patient may be asked to enter the number of the package actually taken. Alternatively, as shown in FIG. 16, information such as the drug, identification number, or dosage is printed on the drug package with a two-dimensional barcode, and the screen of the smartphone 11 displays "The drug to be taken today. You may want to display the message "Please take a picture of the 2D barcode on the package" and let the patient register the medicine to be taken.

Next, in step S62, 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 from the acquired sensor signals, the patient Calculate biometric information. In the present embodiment, the smartphone 11 calculates the patient's sleep time, sleep onset latency, and number of awakenings as biological information of the patient.

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 the sensor signals for one day, and the smartphone 11 may acquire the sensor signals from the wristband 12 at a timing of once a day, or may be performed at a predetermined time interval. May periodically communicate with the wristband 12 to acquire a sensor signal.

In step S63, the smartphone 11 displays a questionnaire regarding the effects and side effects of the drug after taking the drug on the screen of the smartphone 11, accepts the operation input of the patient, and acquires the questionnaire result.

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

In the questionnaire screen of FIG. 17, the three items of "satisfaction with sleep length", "satisfaction with sleep quality", and "sleepiness after waking up" investigated the patient's subjective evaluation of drug efficacy. It corresponds to the sleep subjective evaluation item to be performed.

In addition, the two items of "sleepiness after waking up" and "change in physical condition" correspond to the side effect subjective evaluation items for investigating the patient's subjective evaluation of 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 value acquired from the question content DB 25.

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

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

The process of step S65 may be a process of automatically notifying the doctor of a message indicating that the smartphone 11 has input an evaluation value equal to or less than the warning threshold value.

Then, in step S66, the smartphone 11 transmits the medication information, which is information on the physical condition of the patient after administration, 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 package number, and the medication information transmitted from the smartphone 11, and stores the medication information for each prescription ID and the package number. As a result, data such as the medication status DB26 shown in FIG. 7 is generated.

The processing of steps S61 to S67 is executed every time the dosing timing defined in the dosing pattern information comes.

This completes the treatment during the patient's medication period.

<5. Flowchart after the medication period>
Next, the process after the end of the medication period will be described with reference to the flowchart of FIG.

For example, when the patient visits the doctor to see the doctor again after the end of the medication period, the doctor operates the doctor PC 14 to execute the correlation calculation program, so that the following processing is started.

First, in step S81, the doctor PC 14 transmits the prescription ID to the prescription DB 22 and inquires about the dosage of each package number stored corresponding to 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 the dosage information.

Next, in step S83, the doctor PC 14 transmits the 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 the medication information corresponding to the received prescription ID. In this process, in the medication status DB 26 of FIG. 7, all the information stored in association with the prescription ID is transmitted to the doctor PC 14.

In step S85, the doctor PC 14 receives the medication information transmitted from the medication status DB 26. Then, the doctor PC 14 is a drug taken by the patient based on the dosage of each package number associated with the prescription ID acquired from the prescription DB 22 and the medication information associated with the prescription ID acquired from the medication status DB 26. The correlation between the effects and side effects of the drug and the dosage 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 to determine the appropriate dosage for the patient.

<6. Correlation result display example>
19 to 25 show an example of the correlation result displayed on the display of the doctor PC 14 in step S86.

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

With reference to the scatter plot of FIG. 19, when the dose of 0 mg of placebo was taken, the sleep time was less than 7 hours, and when the dose was 0.00 mg to 0.13 mg, the sleep time. Is less than 7 hours and more than 7 hours. Then, when the dose exceeds 0.15 mg, it can be confirmed that a sleep time of 7 hours or more can be secured. Assuming that the required sleep time is 7 hours, in the present embodiment, even if the upper limit dose (prescribed dose) of 0.25 mg is not taken, a dose of 0.15 mg is sufficient. It can be judged that it can be seen.

FIG. 20 shows an example of the correlation result showing the correlation between the amount of the drug contained in the drug of the unit taken and the latency of falling asleep in a scatter diagram.

Also in the scatter plot of FIG. 20, a dose of less than 0.15 mg including placebo has a sleep onset latency of 30 minutes or more, but a dose of 0.15 mg or more has a sleep onset latency of always less than 30 minutes. It can be judged that a sufficient effect can be seen with a dose of 0.15 mg.

FIG. 21 shows an example of the correlation result showing the correlation between the dose contained in the medicine of the unit taken and the subjective evaluation of sleep in a scatter diagram.

In the example of FIG. 21, the average value of the three items of "satisfaction with sleep length", "satisfaction with sleep quality", and "sleepiness after waking up" corresponding to the sleep subjective evaluation items is calculated. It is used as a value for sleep subjective evaluation.

Also in the scatter plot of FIG. 21, a dose of less than 0.15 mg including placebo may be evaluated as "1" or "2", but a dose of 0.15 mg or more is always evaluated as "3". Based on the above, it can be judged from the patient's subjective point of view that a sufficient effect can be seen with a dose of 0.15 mg.

FIG. 22 shows an example of the correlation result in which the correlation between the dose contained in the drug in the dose unit and the subjective evaluation of side effects is shown in a scatter diagram.

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

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

19 to 22 show examples when good results are obtained, and the doctor who confirmed these scatter plots decided to prescribe, for example, 0.15 mg as the optimum dose of the drug “X”. can do.

On the other hand, the following scatter plots 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 is not obtained even with the prescribed dose. Shown.

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

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

FIG. 24 shows an example of the correlation result between the amount of the drug contained in the drug of the unit taken and the latency of falling asleep.

In the scatter plot 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 drug of the unit taken and the subjective evaluation of side effects.

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

From the above, in the case of this patient, it can be confirmed that the prescription up to the prescribed dose has not achieved sufficient extension of sleep time and shortening of sleep onset latency with respect to placebo. However, looking at the relationship with sleep onset latency, a slight shortening of sleep onset latency can be seen from a dose of around 0.17 mg, suggesting that the prescribed dose may be slightly insufficient in efficacy. Will be done. If the drug "X" is a drug that is allowed to be increased from the prescribed dose at the doctor's discretion, the doctor may decide to attempt an increase. 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 subjective evaluation of side effects in FIG. 25, the fact that the patient does not feel any side effects can be used as a material for determining the dose increase as a reinforcement of the patient's interview.

<7. Example of prescription pattern to gradually reduce the dose>
In the above, the volume change pattern of "beginning of drinking", which is a kind of prescription pattern for gradually increasing the dosage in the random prescription pattern DB21 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 reducing the dose, will be described.

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

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

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

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

The initial dosage represents the dosage when first taken. The minimum placebo count represents the placebo period set at the beginning of the dosing period. Placebo in the case of drug reduction means taking the same dose as the initial dose without actually reducing the dose. The maximum dose maintenance days represent the number of days after the end of the placebo period that the same dose as the initial dose is maintained as the upper limit. The number of days to reach the lower limit of the minimum dose represents the number of days until the last lower limit of the dosage 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 each of the above parameters, the upper and lower limits of the dosage are determined for the entire dosing period of the prescription pattern "B1", and the dosage is randomly (within the range of the upper and lower limits). Determined (with randomness). The diamond-shaped plot in FIG. 26 represents a randomly determined dosage within the upper and lower limits.

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 this parameter, and other parameters or different parameters may be provided.

In addition, for a prescription pattern in which the volume change pattern is "withdrawal", for example, the prescription pattern "B1" shown in FIG. 26 is repeated a plurality of times, and the parameter of the next initial dose is set to the final of the previous round. It can be applied by setting the maximum dose. Further, the prescription pattern in which the volume change pattern is "withdrawal" can also be applied by setting the lower limit dose of the prescription pattern "B1" shown in FIG. 26 to "0".

27 and 28 show examples of correlation results when a good course is followed in a prescribing pattern for tapering doses.

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

In the scatter plot of FIG. 27, a sleep time of 7 hours or more can be secured at 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 drug of the unit taken and the subjective evaluation of side effects.

In the scatter plot of FIG. 28, the subjective evaluation of side effects is always “4” or higher at any dose from 0.13 mg to 0.25 mg, and it can be determined that no side effects are observed.

Thus, if the reduced dose does not reduce sleep time and no subjective side effects are reported, the patient will be treated after planned dosing, as in the case of a gradual dose prescription pattern. Seek medical attention and check the results.

Next, FIGS. 29 and 30 show an example of the correlation result when a withdrawal reaction as a strong side effect occurs in a prescription pattern for gradually reducing the dose.

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

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

FIG. 30 shows an example of the correlation result between the dose contained in the drug of the unit taken and the subjective evaluation of side effects.

In the scatter plot of FIG. 30, the patient reported high side effects of "1" and "2" in the questionnaire due to mental and physical disorders as a withdrawal reaction when the dose was low.

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

Therefore, for example, as one of the coping methods, as in the processes of steps S64 and S65 of FIG. 14, a message prompting the patient to contact the doctor is displayed, or the patient is interrupted to take the medicine and consults with the doctor. There is a way to display a message prompting you to receive.

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

There is no uniform standard as to what amount of medication should be taken when withdrawal symptoms appear, and the way of thinking differs depending on the type of medication, but in this embodiment, the dosage to be taken is determined. The coping method for returning to the stable dose before the dose reduction will be described.

For example, in the dose DB23 that stores the dose according to the drug and the prescription pattern, n pieces 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 the dose of, a reserve dose can be included in case of withdrawal symptoms, which is a side effect. The reserve dose is set to, for example, a dose that compensates for the shortage of the reduced dose, or a dose that is 1/2, 1/4, or 1/8 of the difference between the initial dose and the lower limit dose. Can be kept. This reserve dose will not be taken if the drug reduction progresses smoothly, as shown in the correlation results shown in FIGS. 27 and 28.

Then, in addition to or in place of the process of displaying a message prompting to contact the doctor in step S65 of FIG. 14, the smartphone 11 confirms the switching of administration as shown in FIG. Display a message.

On the message screen of FIG. 31, the message "Do you want to switch the dose?", The "Switch dose" button 51, and the "Take in a single dose" button 52 are displayed. In the case of sleeping pills, it may be switched from the next dose, but in the case of anxiolytics, it may be better to immediately make up for the shortage by taking a single dose.

When the "switch taking" button 51 is selected, the smartphone 11 switches to the medication instruction when a side effect occurs in the medication instruction in step S61 from the next time onward. Specifically, the smartphone 11 is a drug with a package number that includes the initial dose or the dose for which the patient has not reported any side effects (subjective side effect evaluation is "3" or higher) after stopping the drug reduction. Instruct to take.

When the "Take in a single dose" button 52 is selected, the smartphone 11 instructs the patient to take the medicine on the spot by designating the package number including the dose to compensate for the shortage of the reduced dose. .. The dose to be taken may be an automatically calculated dose such as 1/2, 1/4, or 1/8 of the initial dose, or the dose specified by the doctor. May be decided.

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 medicine actually taken by the patient to the medication status DB 26.

As described above, in the prescription pattern that gradually reduces the dose, if a withdrawal reaction occurs as a strong side effect, as an emergency measure before consulting a doctor, the dose to supplement the reduced dose or the dose reduction By preparing a spare drug with an unprepared dose and switching to that drug, 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 a prescription creation program and a correlation calculation program to execute a capacity change pattern selection unit 101, a prescription pattern determination unit 102, a prescription pattern output unit 103, and a dosage. The information acquisition unit 104, the medication information acquisition unit 105, the correlation calculation unit 106, the operation reception unit 107, and the storage unit 108 are configured.

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

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 dose change pattern. Specifically, the prescription pattern determination unit 102 transmits the selected drug and the dose change pattern together with the patient's age, gender, and weight information to the random prescription pattern DB21 to request the prescription pattern, and the random prescription pattern. The prescription pattern returned from DB21 is determined as the prescription pattern according to the selected drug and the dose change pattern. Depending on the type of drug, information on the patient's age, sex, and body weight may be omitted. In that case, the prescription pattern is determined by the drug and the dose 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 other device. For example, the prescription pattern output unit 103 encodes the drug “X”, the prescription ID “683297”, and the prescription pattern “A1” with a two-dimensional barcode and prints them on a prescription (paper medium). Further, for example, the prescription pattern output unit 103 transmits the information of the drug “X”, the prescription ID “683297”, and the prescription pattern “A1” as an electronic prescription to the pharmacy PC 13 via the network 15.

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

The medication information acquisition unit 105 acquires the dosage information of the prescription pattern determined by the prescription pattern determination unit 102 and the medication information which is information on the physical condition of the patient who has taken the medication of the dosage from the medication status DB 26. The medication information, which is information on the physical condition of the patient, includes biological information of the patient and subjective evaluation information on the effects and side effects of the drug taken. The patient's biological information includes the sleep time, the sleep onset latency, and the number of awakenings, which are calculated from the sensor signals of the biological sensor of the wristband 12. Subjective evaluation information on the effects and side effects of the drug was obtained from the results of the questionnaire on the effects and side effects of the drug, such as "satisfaction with length of sleep", "satisfaction with quality of sleep", and "after waking up". Includes "sleepiness" and "changes in physical condition".

The correlation calculation unit 106 calculates the correlation between the patient's medication information acquired by the medication information acquisition unit 105 and the dosage of the medicine taken by the patient acquired by the dosage information acquisition unit 104. For example, the correlation calculation unit 106 calculates the scatter plots shown in FIGS. 19 to 25. The correlation calculation unit 106 displays a scatter plot showing the correlation between the medication information and the dosage on the display. The physician can refer to the scatter plot as the correlation result displayed on the display to determine the appropriate dosage for the patient.

The correlation calculation unit 106 can also calculate the distribution showing the relationship between the medication date and the dosage shown in FIG. 9 and display it on the display. This allows the doctor to ascertain how much of the drug the patient actually took during the dosing period, based on the determined prescribing pattern.

The operation reception unit 107 receives a doctor's operation such as a selection operation of a drug to be prescribed to a patient and a volume change pattern, and supplies the operation signal to a predetermined block.

The storage unit 108 stores data, parameters, and the like 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.

In the smartphone 11, a calculation processing device such as a CPU executes a medication management program to acquire a sensor signal / biological information calculation unit 140, a prescription pattern acquisition unit 141, a medication pattern acquisition unit 142, a question content information acquisition unit 143, and medication. 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 awakenings from the sensor signal transmitted from the wristband 12 as the patient's biological information.

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

The medication pattern acquisition unit 142 accesses the medication pattern DB 24 and acquires medication pattern information corresponding to the drug and the prescription pattern acquired by the prescription pattern acquisition unit 141. For example, when the medication pattern acquisition unit 142 transmits the drug “X” and the prescription pattern “A1” to the medication pattern DB 24, “before bedtime” is acquired as the medication pattern information based on the contents of the medication pattern DB 24 in FIG. Will be done.

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

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. In addition, for example, the medication instruction unit 144 displays a message "Please take a two-dimensional barcode of the package of the medicine to be taken today" on the screen as shown in FIG. 16, and gives the patient the medicine to be taken. Let me register.

The medication information acquisition unit 145 acquires medication information which is information on the physical condition of a patient who has taken a drug having a prescription pattern dose acquired by the prescription pattern acquisition unit 141. As described above, the medication information, which is information on the physical condition of the patient, includes the biological information of the patient and the subjective evaluation information on the effects and side effects of the drug taken. As the patient's biological information, the sleep time, the sleep onset latency, and the number of awakenings calculated by the sensor signal acquisition / biological information calculation unit 140 are acquired. Subjective evaluation information on the effects and side effects of the drug taken is "satisfaction with length of sleep", "satisfaction with quality of sleep", and "sleepiness after waking up" based on the results of the questionnaire after taking the drug. , And "change 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 package number.

The operation reception unit 147 receives a patient's 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 required 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 drug to a patient, the doctor and the patient do not know how much the drug is to be taken on a specific day. Can be prescribed. As a result, the double-blind property can be ensured, so that an appropriate dosage can be determined without psychological effects.

In addition, since the efficacy of the drug differs depending on the patient, it is possible to adjust the dosage according to the individual patient rather than the statistically average patient image. Since the correlation with the dosage can be seen at a glance, it is possible to adjust the dosage with high conviction. The prescribed dose can be automatically adjusted to the most appropriate dose with the best balance between effects and side effects.

<9. Hardware configuration>
Next, the hardware configuration of the information processing apparatus according to the embodiment of the present disclosure will be described with reference to FIG. 34.

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

The information processing device 200 shown in FIG. 34 can realize, for example, the smartphone 11, the pharmacy PC13, the doctor PC14, or the DB server device of the random prescription pattern DB21 to the medication status DB26 in the above embodiment.

The information processing device 200 includes a CPU (Central Processing unit) 201, a ROM (Read Only Memory) 203, and a RAM (Random Access Memory) 205. Further, the information processing device 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 and a connection port 223, and a communication device 225. Further, the information processing device 200 may include an image pickup device 233 and a sensor 235, if necessary. The information processing apparatus 200 may have a processing circuit such as a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), or an FPGA (Field-Programmable Gate Array) in place of or in combination with the CPU 201.

The CPU 201 functions as an arithmetic processing device and a control device, and controls all or a part of the operation in the information processing device 200 according to various programs recorded in the ROM 203, the RAM 205, the storage device 219, or the removable recording medium 227. The ROM 203 stores programs, calculation parameters, and the like used by the CPU 201. The RAM 205 primarily stores a program used in the execution of the CPU 201, parameters that are appropriately changed in the execution, and the like. The CPU 201, ROM 203, and RAM 205 are connected to each other by a host bus 207 composed of 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, keyboard, touch panel, buttons, switches, and levers. The input device 215 may be, for example, a remote control device using infrared rays or other radio waves, or an externally connected 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 the information input by the user and outputs the input signal to the CPU 201. By operating the input device 215, the user inputs various data to the information processing device 200 and instructs the processing operation.

The output device 217 is composed of a device capable of notifying the user of the acquired information by using sensations such as sight, hearing, and touch. The output device 217 may 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 a video such as text or an image, a voice such as voice or sound, or vibration.

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

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 device 200. The drive 221 reads the information recorded on the mounted removable recording medium 227 and outputs the information to the RAM 205. Further, the drive 221 writes a record on the attached removable recording medium 227.

The connection port 223 is a port for connecting the device to the information processing device 200. The connection port 223 may be, for example, a USB (Universal Serial Bus) port, an IEEE1394 port, a SCSI (Small Computer System Interface) port, or the like. Further, 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 externally connected device 229 to the connection port 223, various data can be exchanged between the information processing device 200 and the externally connected device 229.

The communication device 225 is, for example, a communication interface composed of a communication device for connecting to the communication network 231. The communication device 225 may 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 communications, or the like. The communication device 225 transmits / receives signals and the like to and from the Internet and other communication devices using a predetermined protocol such as TCP / IP. The communication network 231 connected to the communication device 225 is a network connected by wire or wirelessly, and may include, for example, the Internet, a home LAN, infrared communication, radio wave communication, satellite communication, and the like.

The image pickup device 233 uses, for example, an image pickup element such as a CMOS (Complementary Metal Oxide Semiconductor) or a CCD (Charge Coupled Device), and various members such as a lens for controlling the image formation of a subject image on the image pickup device. It is a device that captures a real space and generates an captured image. The image pickup apparatus 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, a pressure sensor, or a sound sensor (microphone). The sensor 235 acquires information on the state of the information processing device 200 itself, such as the posture of the housing of the information processing device 200, and information on the surrounding environment of the information processing device 200, such as the brightness and noise around the information processing device 200. To do. The sensor 235 may also include a GPS receiver that receives a GPS (Global Positioning System) signal to measure the latitude, longitude and altitude of the device.

The above is an example of the hardware configuration of the information processing apparatus 200. Each of the above-mentioned components may be configured by using general-purpose members, or may be configured by hardware specialized for the function of each component. Such a configuration can be appropriately changed depending on the technical level at the time of implementation.

An embodiment of the present disclosure is, for example, information processing executed by an information processing device (smartphone 11, pharmacy PC13, or doctor PC14), a system (information processing system 1), an information processing device or a system as described above. It may include methods, programs for operating information processing equipment, and non-temporary tangible media on which the programs are recorded.

<10. Supplement>
The embodiment of the present technology is not limited to the above-described embodiment, and various changes can be made without departing from the gist of the present technology.

In the above-described embodiment, an example of prescribing a hypnotic is described as an example of ensuring double-blindness and determining an appropriate dosage, but the present technology can be applied to drugs other than hypnotics. it can. The drug can be applied to, for example, an internal medicine (internal medicine), an external medicine, or an injectable medicine. It is considered to be particularly effective for drugs that are considered to be greatly affected by psychological factors, such as sleeping pills and anxiolytics.

In the case of long-acting drugs with a long half-life, the dose can be set so that the randomness of the dose varies according to the half-life, so that long-acting drugs can also be treated. Can be applied.

Furthermore, this technology is not limited to medicines for treating illnesses, but also beauty or health maintenance supplements (nutritional supplements), insurance functional foods, specified health foods, nutritional functional foods, foods with functional claims, health foods, etc. It can also be applied to ingredients (substances) of foods that are expected to have certain effects and effects when eaten or eaten. For example, the effect of supplement A or B can be confirmed by randomly drinking supplement A and supplement B and calculating the correlation between the type of supplement taken and the questionnaire result showing the effect.

In the case of foods such as the above-mentioned supplements and foods with insurance function, the above-mentioned dosage corresponds to the content of a component (substance) that brings about a certain effect.

In addition, this technique may be applied to the measurement of effects such as setting the strength of beauty equipment.

When confirming the effect of the above supplements or setting the strength of cosmetological equipment, in order to ensure blindness, a method of providing a random dose in the above-mentioned method without giving the patient knowledge about the dose. An alternative method equivalent to is needed. To compare the effects of health foods A and B, if a miller that can arbitrarily adjust the blending amount is added to the system, the purpose of providing a random amount without the user's blending amount being known can be achieved. Alternatively, the purpose can be achieved by providing a blended packaged food product by a service provider who plays a role equivalent to a dispensing pharmacy. In addition, if the purpose can be achieved by a simple blind test at the expense of double-blindness, the purpose is to add a smartphone application to the system that asks the collaborators of the user's family to formulate food and set the equipment. Can be achieved.

It is possible to select a part of the functions of the above-described embodiment and adopt an appropriate combination.

This technology can be configured as cloud computing in which one function is shared by a plurality of devices via a network and 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 flowchart may be executed by one device or may be shared and executed by a plurality of devices. Further, when a plurality of processes are included in one step, the plurality of processes included in the one step can be executed by one device or shared by a plurality of devices.

The effects described herein are merely exemplary and not limited, and may have effects other than those described herein.

In the present specification, the steps described in the flowchart are performed in chronological order in the order described, and of course, when they are called in parallel or when they are called, even if they are not necessarily processed in chronological order. It may be executed at the required timing such as.

In the present 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. Therefore, a plurality of devices housed in separate housings and connected via a network, and a device in which a plurality of modules are housed in one housing are both systems. ..

The present technology can also have the following configurations.
(1)
An information processing device including a prescription pattern determination unit that determines a prescription pattern in which the dosage of a dosage unit is randomly changed according to a dose change pattern of the dosage.
(2)
A capacitance change pattern selection unit for selecting the capacitance change pattern is further provided.
The information processing apparatus according to (1), wherein the prescription pattern determining unit determines the prescription pattern corresponding to the capacity change pattern selected by the capacity change pattern selection unit.
(3)
The information processing device according to (1) or (2), further comprising a prescription identification information for identifying a prescription and an output unit for outputting the prescription pattern.
(4)
The information processing device according to (3) above, wherein the output unit outputs the prescription pattern and the prescription identification information in a two-dimensional bar code.
(5)
A dosage information acquisition unit that acquires the dosage of the prescription pattern,
The medication information acquisition department that acquires medication information, which is information on the physical condition of patients who have taken the above dose of medicine,
The information processing device according to any one of (1) to (4), further comprising a correlation calculation unit for calculating the correlation between the medication information and the dosage.
(6)
The information processing device according to (5) above, wherein the medication information includes biological information of a patient.
(7)
The information processing device according to (5) or (6) above, wherein the medication information includes subjective evaluation information regarding the effects and side effects of the drug taken.
(8)
The information processing apparatus according to any one of (1) to (7) above, wherein the volume change pattern includes at least a pattern for gradually increasing the dose and a pattern for gradually decreasing the dose.
(9)
When the volume change pattern is a pattern for gradually reducing the dosage, the dosage of the dosage unit based on the determined prescription pattern includes the dosage of the reserve dosage unit at the time of side effect occurrence. The information processing apparatus according to any one of 8).
(10)
Information processing device
An information processing method that determines a prescription pattern in which the dosage of a dose unit is randomly changed according to the dose change pattern of the dosage.
(11)
Computer,
A program for functioning as a prescription pattern determination unit that determines a prescription pattern in which the dosage of a dosage unit is randomly changed according to the dose change pattern of the dosage.
(12)
A prescription pattern acquisition unit that acquires the type of drug to be taken and a prescription pattern in which the dosage of each dose is randomly changed.
An information processing device including a medication instruction unit that instructs a patient to take medication based on medication pattern information acquired based on the type of the drug and the prescription pattern.
(13)
A medication information acquisition unit that acquires medication information that is information on the physical condition of a patient who has taken the dosage of the prescription pattern based on the medication pattern information.
The information processing device according to (12) above, further comprising a medication information transmitting unit that transmits the medication information to another device.
(14)
The information processing device according to (13), wherein the medication information acquisition unit acquires biological information of a patient from a biological sensor as the medication information.
(15)
The information processing device according to (13) or (14), wherein the medication information acquisition unit acquires subjective evaluation information regarding the effects and side effects of the drug taken as the medication information.
(16)
The information processing apparatus according to any one of (13) to (15) above, wherein the medication instruction unit switches to a medication instruction when a side effect occurs when the acquired medication information indicates a side effect.
(17)
Information processing device
Obtain the type of drug to be taken and the prescription pattern in which the dosage of each dose is randomly changed.
An information processing method for instructing a patient to take a drug based on medication pattern information acquired based on the type of the drug and the prescription pattern.
(18)
Computer,
A prescription pattern acquisition unit that acquires the type of drug to be taken and a prescription pattern in which the dosage of each dose is randomly changed.
A program for functioning as a medication information instruction unit for instructing a patient to take medication based on medication pattern information acquired based on the type of the drug and the prescription pattern.

1 Information system, 11 Smartphone, 12 Wristband, 13 PC (Pharmaceutical PC), 14 PC (Doctor PC), 21 Random prescription pattern DB, 22 Prescription DB, 23 Dosage DB, 24 Dosing pattern DB, 25 Question content DB , 26 Medication status DB, 31 Pulse wave sensor, 32 Acceleration sensor, 101 Volume change pattern selection unit, 102 Prescription pattern determination unit, 103 Prescription pattern output unit, 104 Dosage information acquisition unit, 105 Medication information acquisition unit, 106 Correlation calculation Department, 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 department, 146 Medication information transmission unit, 200 information Processing device, 201 CPU, 203 ROM, 205 RAM, 215 input device, 217 output device, 219 storage device, 221 drive, 225 communication device

Claims (18)

The dose of the dosage unit is randomly changed within the upper and lower limits of each dose change pattern of the dose including at least the first pattern of gradually increasing the dose and the second pattern of gradually decreasing the dose. An information processing device provided with a prescription pattern determination unit that determines a random prescription pattern. A capacitance change pattern selection unit for selecting the capacitance change pattern is further provided.
The information processing device 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 device according to claim 1, further comprising a prescription identification information for identifying a prescription and an output unit for outputting the prescription pattern. The information processing device according to claim 3, wherein the output unit outputs the prescription pattern and the prescription identification information in a two-dimensional bar code. A dosage information acquisition unit that acquires the dosage of the prescription pattern,
The medication information acquisition department that acquires medication information, which is information on the physical condition of patients who have taken the above dose of medicine,
The information processing device according to claim 1, further comprising a correlation calculation unit that calculates a correlation between the medication information and the dosage. The information processing device according to claim 5, wherein the medication information includes biological information of a patient. The information processing device according to claim 5, wherein the medication information includes subjective evaluation information regarding the effects and side effects of the medicines taken. The information processing device according to claim 1 , wherein the prescription pattern determination unit determines prescription pattern information that identifies the prescription pattern, for which both the prescribing doctor and the patient taking the drug do not know the dosage, as the prescription pattern . When the volume change pattern is the second pattern of gradually reducing the dosage, the dosage of the dosage unit based on the determined prescription pattern includes the dosage of the reserve dosage unit when a side effect occurs. Claim 1 The information processing device described in. Information processing device
The dose of the dosage unit is randomly changed within the upper and lower limits of each dose change pattern of the dose including at least the first pattern of gradually increasing the dose and the second pattern of gradually decreasing the dose. An information processing method that determines the prescription pattern. Computer,
The dose of the dosage unit is randomly changed within the upper and lower limits of each dose change pattern of the dose including at least the first pattern of gradually increasing the dose and the second pattern of gradually decreasing the dose. A program to function as a prescription pattern determination unit that determines the prescription pattern. A prescription pattern acquisition unit that acquires the type of drug to be taken and a prescription pattern in which the dosage of each dose is randomly changed.
Based on the medication pattern information acquired based on the type of the drug and the prescription pattern, the medication instruction section for instructing the patient to take the drug is displayed by displaying the medication instruction information on the display unit at the timing of taking the drug. Information processing device to be equipped. A medication information acquisition unit that acquires medication information that is information on the physical condition of a patient who has taken the dosage of the prescription pattern based on the medication pattern information.
The information processing device according to claim 12, further comprising a medication information transmitting unit that transmits the medication information to another device. The information processing device according to claim 13, wherein the medication information acquisition unit acquires biometric information of a patient from a biosensor as the medication information. The information processing device according to claim 13, wherein the medication information acquisition unit acquires subjective evaluation information regarding the effects and side effects of the medication taken as the medication information. The information processing device according to claim 13, wherein the medication instruction unit switches to a medication instruction when a side effect occurs when the acquired medication information indicates a side effect. Information processing device
Obtain the type of drug to be taken and the prescription pattern in which the dosage of each dose is randomly changed.
An information processing method for instructing a patient to take a drug by displaying medication instruction information on a display unit at a timing of taking the drug based on the medication pattern information acquired based on the type of the drug and the prescription pattern. Computer,
A prescription pattern acquisition unit that acquires the type of drug to be taken and a prescription pattern in which the dosage of each dose is randomly changed.
Based on the medication pattern information acquired based on the type of the drug and the prescription pattern, the medication information instruction unit for instructing the patient to take the drug is displayed by displaying the medication instruction information at the timing of taking the drug. A program to make it work.

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