Medicine taking reminding method, system and equipment

Abstract

The invention belongs to the technical field of medicine management, and particularly discloses a medicine taking reminding method, system and equipment, and the medicine taking reminding method comprises the steps: obtaining data information, calculating the blood concentration of a medicine in a body according to pharmacodynamics, enabling the activity time of the blood concentration in a new time zone corresponding to a final position to be kept within an effective range, adjusting the attenuation model of the medicine concentration, calculating the next medicine taking time, calculating the reminding probability of the preventive medicine corresponding to the health risk reminding probability, and giving medicine taking reminding to the user according to the next medicine taking time and the reminding probability of the preventive medicine. A dynamic time adjusting algorithm is introduced, the optimal medicine taking time is automatically adjusted according to the time zone where the current position of the user is located and the pharmacokinetic parameters of the medicine, and the stability of the medicine curative effect is improved. When the user enters or is about to enter an area, the user is reminded to take the preventive medicine for the area.

Description

Technical Field

[0001] The present invention belongs to the technical field of drug management, and particularly relates to a medication reminder method, system, and device. Background Art

[0002] With the development of globalization, people are increasingly active between two places across time zones, such as traveling or on business trips.

[0003] For people who need to take medicine, such as those with chronic diseases like hypertension, diabetes, and heart disease who need to take medicine regularly for a long time to maintain health, crossing time zones will cause changes in the medicine-taking time and make it impossible to accurately determine the next medicine-taking time. Moreover, after people arrive at the end position of the time zone-crossing area, due to being in an uncertain environment, they cannot cope with sudden health problems. For example, when entering an epidemic area or a high-altitude area, people cannot understand the health conditions of the end position area, so they cannot take effective measures.

[0004] Currently, the field of drug management is still in its primary stage. Due to insufficient algorithm optimization, it is impossible to provide personalized medication plans when people are moving in time zone-crossing areas. Summary of the Invention

[0005] Aiming at the above problems, the purpose of the present invention is to provide a medication reminder method, system, and device that can provide personalized medication plans when people are moving in time zone-crossing areas.

[0006] The technical solution of the present invention is: A medication reminder method for reminding a user to take medicine after the user crosses time zones, including: Obtaining the longitude and latitude data information of the user's starting position, the longitude and latitude data information of the user's ending position, obtaining the user's basic health record / basic physiological characteristic data information, obtaining the user's physiological state data information, obtaining the health risk data information of the user's ending position, and obtaining the user's average moving speed; Converting the longitude and latitude data information of the user's ending position into the time zone where it is located to obtain the local time of the user's ending position; calculating the travel time according to the longitude and latitude data information of the user's starting position, the longitude and latitude data information of the user's ending position, and the user's average moving speed; calculating the blood drug concentration of the medicine in the body according to pharmacokinetics, so that the blood drug concentration remains within the effective range during the activity time in the new time zone corresponding to the ending position, adjusting the decay model of the drug concentration, and calculating the next medicine-taking time; Calculate the health risk reminder probability for the end location based on the health risk data information of the user's end location, and calculate the set of health risks for the end location. Combine the user's basic health profile / basic physiological characteristic data information and the user's physiological state data information to calculate the reminder probability of the preventive drug corresponding to the health risk reminder probability; Give the user a medication reminder according to the next medication time and the reminder probability of the preventive drug.

[0007] Furthermore, the local time is calculated according to the following formula.

[0008] ; where, represents the local time in the new time zone where the user is located, that is, the time corresponding to the end location, represents Coordinated Universal Time, represents the time difference between the new time zone of the location where the user is located and Coordinated Universal Time, that is, the time difference between the user's end location and Coordinated Universal Time.

[0009] Furthermore, the travel time is calculated according to the following formula.

[0010] .

[0011] ; where, represents the travel time, represents the distance the user travels across time zones, represents the average moving speed of the user, R represents the radius of the earth, represents the latitude of the end location, represents the longitude of the end location, represents the latitude of the starting location, represents the longitude of the starting location.

[0012] Furthermore, the blood drug concentration is calculated according to the following formula.

[0013] ; where, represents the blood drug concentration of the drug in the body after taking the medicine, represents the drug dose, represents the bioavailability, which refers to the proportion of the drug absorbed and entering the systemic circulation, represents the volume of drug distribution, which refers to the size of the area where the drug is distributed in the body, represents the elimination rate constant of the drug, is a model of the exponential decay of drug concentration over time, represents the local time in the new time zone of the location where the user is located; represents the medication time in the old time zone of the previous location, that is, the medication time corresponding to the user's starting location, Indicates the travel time, Indicates the individual metabolic rate correction coefficient.

[0014] Furthermore, when the blood drug concentration is within the effective range during the critical time period for the medication-taking time, combined with the user's daily schedule, and the drug concentration is kept effective all the time, then: ; where, Indicates the blood drug concentration in the body after taking the medicine, Indicates the effective range of the blood drug concentration, Indicates the daily activity time period of the user in the new time zone, Indicates that the critical time period belongs to the daily activity time period of the user in the new time zone, that is, the time when the blood drug concentration in the user's body is greater than or equal to the corresponding time of the effective range of the blood drug concentration belongs to the daily activity time period of the user in the new time zone.

[0015] Even further, the time range is calculated according to the following formula.

[0016] .

[0017] Where, Indicates the time of taking the new medicine after crossing the time zone, Is a mathematical symbol indicating "the time point that maximizes a certain value", that is, finding the most ideal time for the blood drug concentration within a certain time period, Indicates the daily activity time period of the user in the new time zone.

[0018] When Or , directly calculate and determine the next optimal medicine-taking time; when And , at the current time Delay for a certain time And then non-silently remind the user to compensate for the medicine; where, Indicates that the user is in a non-sleeping state, Indicates that the user is in a sleeping state.

[0019] When , that is, when the user is in a sleeping state, after the user wakes up, adjust the medicine dosage through a low-risk compensation algorithm or reduce the interval between the next medicine-taking, and the adjusted medicine dosage is calculated according to the following formula.

[0020] ; where, Indicates the adjusted medicine dosage, Indicates the initial medicine dosage.

[0021] Furthermore, the health risk reminder probability is calculated according to the following formula.

[0022] ; wherein, represents the starting position of the user, represents the ending position of the user, represents time, represents the health risk reminder probability from the starting position to the ending position, represents the health risk weight from the starting position to the ending position, and represent adjustment parameters, represents the set of areas for all reminders, represents the distance from the starting position to the ending position, represents the distance of the user from the starting point to a certain potential high-risk area k.

[0023] A medication reminder system, based on the above-mentioned medication reminder method, includes an acquisition module, a calculation module, and a reminder module.

[0024] The acquisition module is used to acquire the user's longitude and latitude data information, acquire the standard time data information, acquire the user's basic health profile / basic physiological characteristic data information, acquire the user's physiological state data information, and acquire the health risk data of the area where the user is located.

[0025] The calculation module converts the location where the user is located into the time zone, calculates the next medication time in combination with the principles of pharmacokinetics, and calculates the reminder probability of the preventive medication corresponding to the health risk reminder probability of the location.

[0026] The reminder module is used to give the user a medication reminder and a preventive medication reminder.

[0027] A medication reminder device, having a processing unit and a display unit, the processing unit executes a computer program to implement the above-mentioned medication reminder method, and the processing unit includes a GPS module, a communication module, a sensor module, and a microcontroller.

[0028] The GPS module is used to acquire the user's longitude and latitude data information, and the user's longitude and latitude data information includes the longitude and latitude data information of the user's starting position and the longitude and latitude data information of the user's ending position.

[0029] The communication module is used to connect to a satellite to acquire the standard time data information, used to connect to a smart terminal to acquire the user's basic health profile / basic physiological characteristic data information, used to connect to an external local area network to acquire the health risk data information of the area where the user is located, and the health risk data information of the area where the user is located is the health risk data information of the user's key position.

[0030] The sensor module is used to collect the user's physiological state data information in real time.

[0031] The microcontroller is respectively connected to the GPS module, the communication module, and the sensor module, and is used to control the operation of the GPS module, the communication module, and the sensor module, receive each data information, and give a drug reminder message according to each data information; the microcontroller is connected to the display unit and is used to display the drug reminder message and the preventive drug reminder message to the user.

[0032] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention can be used to effectively remind users to take medicine after they cross time zones. A dynamic time adjustment algorithm is newly introduced, which automatically adjusts the optimal medicine-taking time according to the time zone where the user's current location is and the pharmacokinetic parameters of the medicine, improving the stability of the drug efficacy. Especially for those drugs that need to be taken at specific time intervals, this function ensures that the drug can still maintain a reasonable concentration level during cross-time zone travel.

[0033] Moreover, when the user enters or is about to enter a region, the present invention can remind the user to take preventive medicine for that region, improving the accuracy of the user's medication and greatly enhancing the effectiveness in dealing with emergencies. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 is a flowchart of the medicine-taking reminder method of the present invention; Figure 2 is a structural block diagram of the medicine-taking reminder device of the present invention.

[0035] Among them, 1 - processing unit, 11 - GPS module, 12 - communication module, 13 - sensor module, 14 - microcontroller, 2 - display unit. DETAILED DESCRIPTION OF THE INVENTION

[0036] The following From Figure 1 to Figure 2 , the specific embodiments of the present invention will be described in detail. In the description of the present invention, it should be understood that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation to the present invention.

[0037] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of such features; in the description of the present invention, unless otherwise specified, the meaning of "a plurality" is two or more.

[0038] It should be noted that the circuit connections involved in the present invention all adopt conventional circuit connection methods and do not involve any innovation.

[0039] Embodiment 1 As Figure 1 A medication reminder method shown is used to remind a user to take medicine after the user crosses time zones, including: Obtaining the longitude and latitude data information of the user's starting position, the longitude and latitude data information of the user's ending position, obtaining the user's basic health profile / basic physiological characteristic data information, obtaining the user's physiological state data information, obtaining the health risk data information of the user's ending position, and obtaining the user's average moving speed.

[0040] Converting the longitude and latitude data information of the user's ending position into the local time zone to obtain the local time of the user's ending position; calculating the travel time according to the longitude and latitude data information of the user's starting position, the longitude and latitude data information of the user's ending position, and the user's average moving speed; calculating the blood drug concentration of the drug in the body according to pharmacokinetics so that the blood drug concentration remains within the effective range during the activity time in the new time zone corresponding to the ending position, adjusting the decay model of the drug concentration, and calculating the next medication time.

[0041] Calculating the health risk reminder probability of the ending position based on the health risk data information of the user's ending position, calculating the set of health risks for the ending position, and combining the user's basic health profile / basic physiological characteristic data information and the user's physiological state data information to calculate the reminder probability of the preventive drug corresponding to the health risk reminder probability.

[0042] Giving the user a medication reminder according to the next medication time and the reminder probability of the preventive drug.

[0043] Preferably, the local time is calculated according to the following formula.

[0044] ; where represents the local time of the new time zone where the user is located, that is, the time corresponding to the ending position, represents Coordinated Universal Time, Indicates the time difference between the new time zone of the user's location and Coordinated Universal Time (UTC), that is, the time difference between the user's end location and UTC. Specifically, for example, if the user flies from New York (UTC - 5) to London (UTC + 0), the new time difference will change from -5 hours to 0 hours.

[0045] Preferably, the travel time is calculated according to the following formula.

[0046] .

[0047] ; where represents the travel time, represents the distance the user travels across time zones, represents the user's average moving speed, R represents the radius of the Earth, with a value of 6371 km, represents the latitude of the end location, represents the longitude of the end location, represents the latitude of the starting location, represents the longitude of the starting location.

[0048] Preferably, the blood drug concentration is calculated according to the following formula.

[0049] ; where represents the blood drug concentration in the body after taking the drug, represents the drug dose, represents the bioavailability, refers to the proportion of the drug that is absorbed and enters the systemic circulation, represents the volume of distribution of the drug, which refers to the size of the area where the drug is distributed in the body, represents the elimination rate constant of the drug, is a model of the exponential decay of the drug concentration over time, represents the local time of the new time zone of the user's location; represents the medication time of the previous old time zone of the location, that is, the medication time corresponding to the user's starting location, represents the travel time, represents the individual metabolic rate correction factor.

[0050] Among them, the dosage of the drug taken affects the concentration of the drug in the body. The larger the dosage, the higher the initial concentration. The bioavailability of different drugs and administration methods (such as oral or injection) is different. For oral drugs, only part of the drug is absorbed, and the remaining part may be metabolized or excreted. The higher the bioavailability, the greater the proportion of the drug effectively absorbed by the human body. The volume of distribution of the drug reflects the diffusion of the drug in the body. The elimination rate constant of the drug reflects the speed at which the drug is eliminated from the body, which usually depends on the half-life of the drug. The elimination of the drug usually follows an exponential law, so the concentration decreases continuously over time. Describes the actual interval in the new time zone from the last drug administration to the current time, which is calculated by adjusting the drug administration time in the old time zone to the current. It should be noted that: the new time zone is the time zone corresponding to the key location, and the old time zone is the time zone corresponding to the starting point location. The individual metabolic rate correction coefficient dynamically adjusts drug metabolism in combination with the user's health data. The user's health data can specifically be data such as the user's weight, age, liver and kidney function, etc.

[0051] Preferably, the drug administration time needs to ensure that the blood drug concentration is within the effective range during the critical period, combined with the user's work and rest time, and to keep the drug concentration effective all the time, then: ; among them, represents the blood drug concentration in the body after drug administration, represents the effective range of the blood drug concentration, represents the daily activity period of the user in the new time zone, represents that the critical period belongs to the daily activity period of the user in the new time zone, that is, the time when the blood drug concentration in the user's body is greater than or equal to the effective range of the blood drug concentration belongs to the daily activity period of the user in the new time zone, that is represents searching during the activity time of the user in the new time zone.

[0052] Preferably, the time range is calculated according to the following formula; ; among them, represents the time of the new drug administration after crossing the time zone, is a mathematical symbol representing "the time point that maximizes a certain value", that is, finding the most ideal time of the blood drug concentration within a certain time period, represents the daily activity period of the user in the new time zone.

[0053] When or , directly calculate and determine the next optimal drug administration time; when and , at the current time delay for a certain time Post-non-silent reminder for user to compensate for medicine; wherein, indicates that the user is in a non-sleep time, indicates that the user is in a sleep time.

[0054] When i.e., when the user is in a sleep time, after the user wakes up, adjust the dose of the medicine taken or reduce the interval of the next dose of medicine taken through a low-risk compensation algorithm. The adjusted dose of the medicine taken is calculated according to the following formula.

[0055] ; wherein, represents the adjusted dose of the medicine taken, represents the initial dose of the medicine taken.

[0056] Preferably, the preventive medicine reminder calculates the health risk reminder probability of the end position based on the health risk data of the end position, and calculates the set of health risks for the end position; then combines the user's basic health profile / basic physiological characteristic data information and the user's physiological state data information to calculate the reminder probability of the preventive medicine corresponding to the health risk reminder probability.

[0057] Preferably, the health risk reminder probability is calculated according to the following formula.

[0058] ; wherein, represents the starting position of the user, represents the end position of the user, represents time, represents the health risk reminder probability from the starting position to the end position, represents the health risk weight from the starting position to the end position, and represent adjustment parameters, represents the set of regions of all reminders, represents the distance from the starting position to the end position, represents the distance of the user from the starting point to a certain potential high-risk region k.

[0059] Among them, the adjustment parameter is used to control the importance of the health risk and the distance information. can represent the severity of the outbreak of infectious diseases. The health risk of each region can be given by the global health database, denoted as , and the health risk weight represents the outbreak situation of infectious diseases or the health risk level in this region. Among them, the global health database can specifically be WHO data or the data of the disease prevention and control centers of various countries.

[0060] It represents the distance from the user's current location to the destination, which is a clear goal manually input by the user and is used to calculate the priority of health risk reminders related to the destination. It represents the distance from the user's current location to high-risk area k, which is dynamically selected from the set of risk points.

[0061] The significance is to ensure that the system comprehensively monitors all potential risk points instead of only focusing on a single target. The system associates the user's current location with the set of all potential high-risk areas for connection. Each in represents a possible health risk point around the user. The system calculates the reminder probability for each , and determines the reminder priority according to and the risk weight .

[0062] Numerator: Calculate the weighted health risk score of the destination, considering the influence of distance and health risk weight.

[0063] Denominator: Calculate the weighted health risk scores of all surrounding high-risk areas, considering the distance and health risk of each area.

[0064] Ratio: Through the calculation of the ratio, obtain the health risk reminder probability of the target destination. The larger the ratio, the higher the possibility that the user faces a health risk reminder at this destination.

[0065] This can balance the health risks of the destination and the surrounding areas, helping the system to give more accurate health reminders.

[0066] For example: The user is currently in Beijing and plans to travel to Shanghai.

[0067] Target destination r: Shanghai.

[0068] The system detects two high-risk areas around: k1: Tianjin, where there is an influenza epidemic.

[0069] k2: A plateau area in Hebei, where the air is thin.

[0070] Now we need to calculate the health risk reminder probability for the user to go to Shanghai: Calculate the health risk of Shanghai: Assume the risk weight of Shanghai = 0.8, and the distance from the user to Shanghai = 120 kilometers.

[0071] Assume , .

[0072] Calculate the health risks of Tianjin and Hebei: Assume the risk weight of Tianjin = 0.9, and the distance of the user from Tianjin = 100 km.

[0073] Assume the risk weight of Hebei = 0.7, and the distance of the user from Hebei = 500 km.

[0074] Calculate the final reminder probability: The system will calculate the probability of the health risk reminder for the user to go to Shanghai based on this data, and adjust the reminder priority according to the health risks of the two high-risk regions of Tianjin and Hebei.

[0075] Location heuristic information Indicated by the distance from the starting position to the ending position Usually, the heuristic information is represented by the reciprocal of the distance, that is: ; When the user is closer to the high-risk region, the heuristic information increases, and the system is more inclined to remind the user.

[0076] Preferably, the reminder information is dynamically updated over time, and the bracelet regularly recalculates the probability of the health risk reminder: ; In the formula, represents the attenuation coefficient, is the increment of the risk information, and the system will regularly obtain the latest infectious disease data from the global health database for update.

[0077] Preferably, the recommended preventive drugs are specifically: Assume that each location area has an associated infectious disease or health risk , and these health risks require specific drugs or vaccines for prevention. We use the set to represent the list of drugs required for the location area, where each element is a drug or vaccine.

[0078] Therefore, for the health risks of the location area, the set of preventive drugs is calculated as follows ; Among them, is the th drug or vaccine that the user needs to take in the location area.

[0079] We need to calculate for each drug Calculate a recommendation weight, which represents the importance and priority of the drug. This recommendation weight is expressed by the following formula:

[0080] ; In the formula, represents the recommendation weight of the drug, represents the health risk weight of the location area at time (health risk data obtained from the global health database), represents the preventive effectiveness of the drug against the health risk, which is usually determined by medical experts or health organizations and is used to describe the preventive or therapeutic effect of the drug on the health risk.

[0081] Preferably, after considering the user's personalized data, the user's personalized data can specifically be data such as the user's age and allergy history. Further calculate the recommendation probability of the drug and combine it with the drug recommendation weight and the heuristic information of the user's distance from the end position , the reminder probability that the user needs to take a specific preventive drug can be calculated .

[0082] ; among them, represents the probability of reminder that the user needs to take the drug for the end position at time , represents the drug recommendation weight, represents the heuristic information of the user's current distance from the end position, which represents the reciprocal of the distance , among which, represents the distance from the starting position to the end position, represents a certain drug in the set, and the denominator here is normalized.

[0083] Among them, the distance heuristic information represents how far the user is from the end position. The closer the distance, the more inclined to remind the user to take measures in advance.

[0084] The drug recommendation weight represents the priority or necessity of the drug. After combining with the distance information, the reminder probability represents the possibility that the user should take the drug at a specific time .

[0085] Preferably, according to the real-time risk update formula and the drug recommendation probability, continuously remind the user of the health risk and the priority of preventive drugs. When the health risk weight When it exceeds a certain threshold, the system automatically starts the preventive drug recommendation:

[0086] When it starts the drug recommendation.

[0087] After starting the drug recommendation mechanism, according to the real-time drug recommendation probability and the priority of preventive drugs, when the reminder probability of taking a specific preventive drug exceeds a certain threshold, the system automatically starts the drug recommendation reminder.

[0088] When it reminds the user to take health protection measures. Among them, is a preset threshold (such as ), when exceeding this value, the system automatically sends a notification to remind the user to take necessary preventive measures.

[0089] Preferably, record the user feedback and gradually optimize the drug and risk assessment algorithms.

[0090] Define the user feedback factor and its update rule is as follows: ; among them, represents the feedback factor of the drug at time t, represents the effectiveness score of the user feedback, represents the feedback learning rate, which determines the speed of feedback update.

[0091] Preferably, if the system detects that the user is about to enter a high-risk area or the environmental risk rises sharply, it automatically enters the "emergency mode", adjusts the reminder threshold and increases the weight of the feedback factor .

[0092] Example 2 A medication reminder system, based on the medication reminder method proposed in Example 1, includes an acquisition module, a calculation module, and a reminder module.

[0093] The acquisition module is used to acquire the user's longitude and latitude data information, acquire the standard time data information, acquire the user's basic health profile / basic physiological characteristic data information, acquire the user's physiological state data information, and acquire the health risk data of the area where the user is located. The calculation module converts the location where the user is located into the time zone, calculates the next medication time in combination with the pharmacokinetics principle, and calculates the reminder probability of the preventive drug corresponding to the health risk reminder probability of the location.

[0094] Example 3 A medication reminder device, such as Figure 2As shown in the figure, there is a processing unit 1 and a display unit 2. The processing unit 1 executes a computer program to implement the medication reminder method proposed in Embodiment 1. The processing unit 1 includes a GPS module 11, a communication module 12, a sensor module 13, and a microcontroller 14.

[0095] The GPS module 11 is used to obtain the longitude and latitude data information of the user. The longitude and latitude data information of the user includes the longitude and latitude data information of the user's starting point location and the longitude and latitude data information of the user's ending point location. The communication module 12 is used to connect to a satellite to obtain standard time data information, connect to a smart terminal to obtain the user's basic health profile / basic physiological characteristic data information, and connect to an external local area network to obtain the health risk data information of the location area. The health risk data information of the location area is the health risk data information of the user's ending point location. The sensor module 13 is used to collect the physiological state data information of the user in real time.

[0096] It should be noted that: Based on the longitude and latitude data information of the user's starting point location and the longitude and latitude data information of the user's ending point location obtained by the GPS module 11, the distance from the starting point location to the ending point location of the user is obtained. Then, based on the standard time data information obtained by the communication module 12, the average moving speed of the user is obtained. It is also possible to connect to a smart terminal through the communication module 12 and directly obtain the average moving speed of the user with the help of the map APP equipped on the smart terminal.

[0097] The microcontroller 14 is respectively connected to the GPS module 11, the communication module 12, and the sensor module 13, and is used to control the GPS module 11, the communication module 12, and the sensor module 13 to work, receive each data information, and give a medication reminder message according to each data information; the microcontroller 14 is connected to the display unit 2 and is used to display the medication reminder message and the preventive medication reminder message to the user.

[0098] It should be noted that: The medication reminder device in this embodiment is a smart medicine bracelet, and it can also selectively add relevant structures according to needs to meet the drug management requirements. For example, a medicine placement bin is added to store medicines.

[0099] No special specifications are made for the specific models of the above electronic components, and ordinary commercially available products can be selected as long as they can meet the usage requirements of the present invention.

[0100] In the above specific embodiments, the purpose, technical solution, and beneficial effects of the present invention are further described in detail. It should be understood that the above are only specific embodiments of the present invention and do not limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention are included in the protection scope of the present invention.

Claims

1. A medication reminder method, used to remind a user to take medication after the user crosses time zones, characterized in that: include: Obtain the latitude and longitude data information of the user's starting point, the latitude and longitude data information of the user's end point, obtain the user's basic health profile / basic physiological characteristics data information, obtain the user's physiological status data information, obtain the health risk data information of the user's end point, and obtain the user's average moving speed; The latitude and longitude data information of the user's destination location is converted into the time zone, and the local time of the user's destination location is obtained; Calculate the travel time based on the latitude and longitude data information of the user's starting point, the latitude and longitude data information of the user's end point, and the user's average moving speed; Calculate the blood concentration of the drug in the body according to pharmacokinetics, keep the activity time of the blood concentration at the end point corresponding to the new time zone within the effective range, adjust the attenuation model of the drug concentration, and calculate the next medication time; Based on the health risk data information of the user's endpoint location, the health risk reminder probability of the endpoint location is calculated, and the set of health risks for the endpoint location is calculated. Combined with the user's basic health profile / basic physiological characteristics data information and the user's physiological status data information, the health risk reminder probability corresponding to the reminder probability of the preventive medicine is calculated; Give users medication reminders based on the next medication time and the reminder probability of preventive medication.

2. A medication reminder method as claimed in claim 1, characterized in that: The local time is calculated according to the following formula: ； in, Indicates the local time in the user's new time zone, that is, the local time at the user's destination location. represents Coordinated Universal Time, Indicates the time difference of the new time zone of the user's location relative to the Coordinated Universal Time, that is, the time difference of the user's destination location relative to the Coordinated Universal Time.

3. A medication reminder method as claimed in claim 2, characterized in that: The travel time is calculated according to the following formula: ； ； in, Indicates the travel time, Indicates the distance of the user across time zones, represents the average moving speed of the user, R represents the radius of the earth, Indicates the latitude of the destination location, Indicates the longitude of the destination location, Indicates the latitude of the starting point. Indicates the longitude of the origin location.

4. A medication reminder method as claimed in claim 3, characterized in that: The blood drug concentration is calculated according to the following formula: ； in, It indicates the blood concentration of the drug in the body after taking the medicine. Indicates drug dosage, Bioavailability refers to the proportion of the drug absorbed and entering the systemic circulation. The drug distribution volume refers to the size of the area where the drug is distributed in the body. is the elimination rate constant of the drug, is a model in which drug concentration decays exponentially over time. Indicates the local time in the new time zone of the user's location, that is, the local time of the user's destination location; Indicates the last medication time in the old time zone of the location, that is, the medication time corresponding to the user's starting location. Indicates the travel time, Represents the individual metabolic rate correction factor.

5. A medication reminder method as claimed in claim 4, characterized in that: The medication time is within the effective range of blood drug concentration during the key time period, combined with the user's work and rest schedule, and the drug concentration is kept effective all the time: ； in, It indicates the blood concentration of the drug in the body after taking the medicine. Indicates the effective range of blood drug concentration. Indicates the user's daily activity time period in the new time zone. It indicates that the key time period belongs to the daily activity time period of the user's new time zone, that is, the time corresponding to the blood drug concentration in the user's body being greater than or equal to the effective range of the blood drug concentration belongs to the daily activity time period of the user's new time zone.

6. A medication reminder method as claimed in claim 5, characterized in that: The time range is calculated according to the following formula: ； in, Indicates the time of taking new medicine after crossing time zones. It is a mathematical symbol, which means "the time point that maximizes a certain value", that is, finding the most ideal time for blood drug concentration within a certain period of time. Indicates the user's daily activity time period in the new time zone; when or When , directly calculate and determine the next best time to take the medicine; when and At the current time Delay for a certain period of time After that, the user is reminded to compensate for the medication; Indicates that the user is not sleeping. Indicates that the user is in sleep time; when When the user is sleeping, the dosage of the medicine is adjusted or the interval of the next medication is reduced through the low-risk compensation algorithm after the user wakes up. The dosage of the medicine is adjusted according to the following formula; ;in, Indicates the adjusted medication dosage. Indicates the initial dose of medication.

7. A medication reminder method as claimed in claim 1, characterized in that: The health risk reminder probability is calculated according to the following formula: In the formula, Indicates the user's starting location. Indicates the user's final location. Indicates time, represents the probability of health risk warning from the starting point to the end point, represents the health risk weight from the starting point to the end point, and represents the adjustment parameter, Represents the region set of all reminders, Indicates the distance from the starting point to the end point. Indicates that the user has traveled from the starting point to a certain potential high-risk area. distance.

8. A medication reminder system, based on the medication reminder method according to any one of claims 1 to 7, characterized in that: include: An acquisition module is used to acquire the latitude and longitude data information of the user's starting point, the latitude and longitude data information of the user's end point, the user's basic health profile / basic physiological characteristics data information, the user's physiological status data information, the health risk data information of the user's end point, and the user's average moving speed; A calculation module is used to calculate the time for the next medication and the probability of health risk reminders at the location corresponding to the probability of reminders for preventive drugs; The reminder module is used to give users medication reminders and preventive medicine reminders.

9. A medication reminder device, comprising a processing unit (1) and a display unit (2), characterized in that: The processing unit (1) executes a computer program to implement the medication reminder method according to any one of claims 1 to 7, and the processing unit (1) comprises: A GPS module (11) is used to obtain the longitude and latitude data information of a user, wherein the longitude and latitude data information of the user includes the longitude and latitude data information of the user's starting point and the longitude and latitude data information of the user's ending point; The communication module (12) is used to connect with a satellite to obtain standard time data information, to connect with a smart terminal to obtain a user's basic health profile / basic physiological characteristics data information, and to connect with an external local area network to obtain health risk data information of the area where the user is located, wherein the health risk data information of the area where the user is located is the health risk data information of the user's terminal location; A sensor module (13) is used to collect physiological status data information of the user in real time; The microcontroller (14) is connected to the GPS module (11), the communication module (12), and the sensor module (13) respectively, and is used to control the operation of the GPS module (11), the communication module (12), and the sensor module (13), receive various data information, and provide medication reminder information based on the various data information; the microcontroller (14) is connected to the display unit (2), and is used to display the medication reminder information and the preventive medication reminder information to the user.

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