Intelligent nursing medication reminding method

Abstract

The invention relates to the technical field of medication reminding, in particular to an intelligent reminding method for nursing medication. The method comprises the steps of obtaining a medication compliance coefficient according to the difference between a medication time interval of medication of a patient in a current time period and a preset medication time interval and the disorder condition of medication time of the patient; according to the correlation condition between the medication time interval of medication of the patient and the health index and the fluctuation condition of the medication time interval, the medication behavior sensitivity coefficient is obtained, and then the influence coefficient of the medication compliance behavior is determined. And determining a medication behavior deviation coefficient according to the difference between the proportioning amount of the medicines taken by the patient in the current time period and a preset proportioning amount, the fluctuation condition of the proportioning amount of each medicine, the medication compliance coefficient and the influence coefficient of the medication compliance behavior, and further adjusting the medication automatic reminding frequency. According to the invention, the self-adaptive adjustment of the medication reminding frequency of the patient is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of medication reminders, and in particular to an intelligent medication reminder method for nursing care. Background Art

[0002] With the aging of the population and the increase of chronic diseases, the importance of drug therapy in nursing is increasing, but drug compliance issues (such as forgetting to take medicine, taking medicine by mistake, etc.) are particularly prominent among the elderly and patients with chronic diseases, affecting the treatment effect and increasing health risks. Smart labels for nursing medicine bottles and medication management systems can use the Internet of Things (IoT), wireless communication technology, and data storage and analysis technology to provide patients or the elderly with accurate medication management and reminder services to reduce risks.

[0003] Existing smart labels for nursing medicine bottles and medication management systems rely on preset medication information (such as medication name, dosage, and usage time) to achieve automatic reminders. However, in reality, each patient's health status, medication needs, and living habits vary to a certain extent, and the existing system fails to fully consider these individual factors. Therefore, relying solely on preset medication information cannot provide personalized medication reminder strategies, affecting the effectiveness of management. Summary of the invention

[0004] In order to solve the problem that the existing system cannot provide personalized medication reminder strategies according to the individual needs of patients, the purpose of the present invention is to provide a nursing medication intelligent reminder method, and the technical solution adopted is as follows: The present invention provides a nursing medication intelligent reminder method, which comprises the following steps: Obtain the medication time, medication ratio and health indicators of each medication taken by the patient in the current time period; The medication compliance coefficient is obtained by combining the difference between the medication time interval of the patient in the current time period and the preset medication time interval and the disorder of the patient's medication time; the medication behavior sensitivity coefficient is obtained according to the correlation between the medication time interval of the patient and the health index, as well as the fluctuation of the medication time interval; Determine the influence coefficient of medication compliance behavior based on the medication compliance coefficient and the medication behavior sensitivity coefficient; determine the medication behavior deviation coefficient according to the difference between the proportion of the medicine taken by the patient in the current time period and the preset proportion, the fluctuation of the proportion of each medicine, the medication compliance coefficient and the influence coefficient of medication compliance behavior; The medication behavior deviation coefficient is used to adjust the frequency of automatic medication reminders.

[0005] Preferably, the medication compliance coefficient is obtained by combining the difference between the medication time interval of the patient's medication in the current time period and the preset medication time interval and the disorder of the patient's medication time, including: According to the distribution of medication time of the patient in the current time period, the medication time disorder coefficient is calculated; Calculate the first average value of the time interval between all two adjacent medications taken by the patient every day in the current time period; combine the difference between the first average value and the preset medication time interval corresponding to each day in the current time period and the medication time disorder coefficient to obtain the medication compliance coefficient, and the difference between the first average value and the preset medication time interval and the medication time disorder coefficient are negatively correlated with the medication compliance coefficient.

[0006] Preferably, the calculation of the medication time disorder coefficient according to the distribution of medication time of the patient in the current time period includes: For any day in the current time period, the medication times of all medications taken by the patient on that day constitute the medication timestamp sequence of that day; All elements at the same position in all medication timestamp sequences in the current time period constitute a subsequence; the variance of all elements in each subsequence is calculated as the first variance corresponding to each subsequence; The average value of the first variance of all subsequences is determined as the medication time disorder coefficient.

[0007] Preferably, the medication behavior sensitivity coefficient is obtained based on the correlation between the medication time interval of the patient and the health index, as well as the fluctuation of the medication time interval, including: The time intervals between all two consecutive medications in the current time period constitute a time interval sequence; the health indicators between all two consecutive medications in the current time period constitute a health indicator sequence; Calculating the Spearman correlation coefficient between the time interval sequence and the health indicator sequence; calculating the second variance of all elements in the time interval sequence; According to the Spearman correlation coefficient and the second variance, a medication behavior sensitivity coefficient is obtained, the Spearman correlation coefficient is positively correlated with the medication behavior sensitivity coefficient, and the second variance is negatively correlated with the medication behavior sensitivity coefficient.

[0008] Preferably, obtaining the medication behavior sensitivity coefficient according to the Spearman correlation coefficient and the second variance includes: The first sum of the second variance and a preset adjustment parameter is calculated, and the ratio between the Spearman correlation coefficient and the first sum is determined as a medication behavior sensitivity coefficient, wherein the preset adjustment parameter is a value greater than 0.

[0009] Preferably, determining the influence coefficient of medication compliance behavior based on the medication compliance coefficient and the medication behavior sensitivity coefficient includes: Calculate the second sum of the medication behavior sensitivity coefficient and the preset adjustment parameter; and determine the ratio between the medication compliance coefficient and the second sum as the influence coefficient of the medication compliance behavior.

[0010] Preferably, the determination of the medication behavior deviation coefficient according to the difference between the ratio of the medication taken by the patient in the current time period and the preset ratio, the fluctuation of the ratio of each medication, the medication compliance coefficient and the influence coefficient of the medication compliance behavior includes: The standard deviation of the proportion of each drug taken by the patient in the current time period is recorded as the fluctuation degree of the proportion of each drug; According to the difference between the ratio of each drug taken by the patient in the current time period and the preset ratio and the corresponding fluctuation degree of the ratio, the dosage deviation coefficient of each drug is obtained, and the difference between the ratio of each drug and the preset ratio and the fluctuation degree of the ratio are both positively correlated with the dosage deviation coefficient; Based on the dosage deviation coefficient of all drugs, the overall deviation of the dosage is evaluated; The medication compliance coefficient, the influence coefficient of the medication compliance behavior and the overall deviation of the medication dosage are comprehensively considered to obtain the medication behavior deviation coefficient.

[0011] Preferably, evaluating the overall deviation of medication dosage based on the medication dosage deviation coefficient of all drugs includes: taking the average value of the medication dosage deviation coefficients of all drugs as the overall deviation of medication dosage.

[0012] Preferably, the comprehensive medication compliance coefficient, the influence coefficient of the medication compliance behavior and the overall deviation of the medication dosage to obtain the medication behavior deviation coefficient includes: The product of the negative correlation normalized result of the medication compliance coefficient, the influence coefficient of the medication compliance behavior and the overall deviation of the medication dosage is determined as the medication behavior deviation coefficient.

[0013] Preferably, the use of the medication behavior deviation coefficient to adjust the medication automatic reminder frequency includes: The rounded-up result of the product of the medication behavior deviation coefficient and the preset reminder frequency is calculated, and the rounded-up result is used as the adjusted medication automatic reminder frequency.

[0014] The present invention has at least the following beneficial effects: The present invention first evaluates the patient's medication compliance and obtains the medication compliance coefficient based on the difference between the medication time interval of the patient's medication in the current time period and the preset medication time interval and the disorder of the patient's medication time. Then, according to the correlation between the medication time interval of the patient and the health index and the fluctuation of the medication time interval, the medication behavior sensitivity coefficient is obtained. The medication compliance coefficient and the medication behavior sensitivity coefficient can be used to comprehensively measure the patient's medication compliance and its influencing factors, determine the influencing coefficient of medication compliance behavior, and also consider the dosage deviation behavior that may occur in the patient during the medication process, and evaluate the patient's medication behavior deviation coefficient accordingly, thereby determining the patient's automatic medication reminder frequency, and realizing adaptive adjustment of the reminder frequency, thereby ensuring that personalized nursing reminders can accurately meet the actual needs of patients, improve their medication compliance, and achieve better management effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 A flowchart of a nursing medication intelligent reminder method provided by an embodiment of the present invention; Figure 2 This is a structural block diagram of a nursing medication intelligent reminder system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0017] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, a nursing medication intelligent reminder method proposed by the present invention is described in detail below in combination with the accompanying drawings and preferred embodiments.

[0018] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0019] The specific scheme of the intelligent reminder method for nursing medication provided by the present invention is described in detail below with reference to the accompanying drawings.

[0020] An embodiment of a nursing medication intelligent reminder method: The specific scenario targeted by this embodiment is: in the process of reminding patients to take medication, the patient's historical medication time data is analyzed, combined with their personalized living habits, the patient's medication compliance is evaluated, and the patient's medication behavior sensitivity coefficient is determined based on the correlation between the patient's health indicators and medication data, and then the influence coefficient of medication compliance behavior is determined. In addition, the frequency of patient medication reminders is adaptively adjusted based on the difference between the ratio of the drugs taken in the patient's historical data and the preset ratio, as well as the fluctuation of the ratio of each drug.

[0021] This embodiment proposes a nursing medication intelligent reminder method, such as Figure 1 As shown, a nursing medication intelligent reminder method of this embodiment includes the following steps: Step S1, obtaining the medication time, medication ratio and health indicators of each medication taken by the patient in the current time period.

[0022] The existing smart label system for nursing medicine bottles mainly includes a smart label module, a health record platform, a central processing unit, a cloud platform and a remote monitoring module. The smart label in the system is a small electronic device that can be attached to the outside of the medicine bottle. The built-in chip is used to store drug-related information, such as preset proportions, scheduled taking time and other known data; the system uses wireless radio frequency identification (RFID) technology to display medication-related information through different color areas or patterns, including medication time, dosage, drug type and whether it needs to be taken with meals. The smart label module is also equipped with a built-in clock and infrared sensor to automatically record the opening and closing status of the medicine bottle cap and the time of each opening and closing. The health record platform monitors the patient's physiological indicators through infrared thermometers, smart bracelets and other devices, and inputs these data into the trained convolutional neural network model for analysis to generate a score of 0 to 10 to reflect the patient's health status. In this embodiment, the score is used as the patient's health indicator. The system monitors the proportion of each drug by installing an integrated sensor on the inner wall of the nursing medicine bottle; the system uploads the collected medication time, drug proportion and patient health indicators to the cloud in real time for storage to ensure timely update and backup of data. In addition, the system also supports storing data in local devices, so that users can check historical medication records at any time. It should be noted that: in this embodiment, the time when the patient opens the medicine bottle cap each time when taking medication is used as the patient's medication time each time.

[0023] This embodiment uses the intelligent label system for nursing medicine bottles to collect the medication time of each medication used by the patient in the current time period, the ratio of each medicine used in each medication, and the patient's health indicators between each adjacent medication; wherein the current time period is a collection of all historical moments whose time interval with the current moment is less than or equal to a preset time length. In this embodiment, the preset time length is 14 days. In specific applications, the implementer can set it according to the specific situation.

[0024] So far, this embodiment has collected the medication time of each medication in the current time period, the ratio of each medication taken each time, and the health indicators between two adjacent medications. It should be noted that this embodiment is described by taking one patient as an example, and the method provided in this embodiment can be used to process other patients.

[0025] Step S2, combining the difference between the medication time interval of the patient in the current time period and the preset medication time interval and the disorder of the patient's medication time, obtains the medication compliance coefficient; according to the correlation between the patient's medication time interval and health indicators, as well as the fluctuation of the medication time interval, obtains the medication behavior sensitivity coefficient.

[0026] Medication is usually taken at a fixed time, such as before meals, after meals or before bedtime. However, due to the different living habits of some patients, their meal times are irregular, which makes it difficult for them to take medication on time, thus affecting medication compliance. This makes it impossible for the reminder of the smart label to match the actual meal time, reducing the effectiveness of the reminder.

[0027] The analysis is performed with 24 hours per day as a time unit. Specifically, for any day in the current time period, in chronological order, the medication times of all medications taken by the patient on that day constitute the medication timestamp sequence of that day; using this method, the medication timestamp sequence of each day in the current time period can be obtained, that is, multiple medication timestamp sequences corresponding to the current time period are obtained. All elements at the same position in all medication timestamp sequences in the current time period constitute a subsequence, that is, the first element in all medication timestamp sequences constitutes the first subsequence, the second element in all medication timestamp sequences constitutes the second subsequence, and the third element in all medication timestamp sequences constitutes the third subsequence, and so on, to obtain multiple subsequences. The variance of all elements in each subsequence is calculated separately as the first variance corresponding to each subsequence. The first variance is used to reflect the fluctuation of the elements in the subsequence. The larger the variance, the greater the fluctuation of the elements in the corresponding subsequence. The average value of the first variance of all subsequences is determined as the medication time disorder coefficient.

[0028] According to the medication time of each two adjacent medications of the patient in the current time period, the average of the medication time intervals of all two adjacent medications of the patient in the current time period is calculated, and the average is recorded as the first average; there is a corresponding first average for each day in the current time period. The medication compliance coefficient is obtained by combining the difference between the first average and the preset medication time interval corresponding to each day in the current time period and the medication time disorder coefficient, and the difference between the first average and the preset medication time interval and the medication time disorder coefficient are both negatively correlated with the medication compliance coefficient.

[0029] Among them, the negative correlation relationship means that the dependent variable will decrease as the independent variable increases, and the dependent variable will increase as the independent variable decreases. It can be a subtraction relationship, a division relationship, etc., which is determined by practical applications.

[0030] In this embodiment, a specific calculation formula for the medication compliance coefficient is given, and the medication compliance coefficient can be expressed as: in, represents the medication compliance coefficient, S represents the medication time disorder coefficient, and N represents the number of days in the current time period. Indicates the preset medication time interval. represents the average of the time intervals between two consecutive medications taken on the nth day of the patient's current time period, that is, the first average corresponding to the nth day of the patient's current time period; exp() represents an exponential function with a natural constant as the base, Indicates the absolute value sign.

[0031] It represents the difference between the first average value corresponding to the nth day and the preset medication time interval. The larger the absolute value, the greater the difference between the two. It should be noted that the preset medication time interval is set by the doctor according to the patient's condition and the type of medication taken.

[0032] When the medication time disorder coefficient is smaller and the difference between the first average value corresponding to each day and the preset medication time interval is smaller, it means that the patient takes the medicine according to the predetermined process and has a stronger medication compliance, that is, the larger the medication compliance coefficient is.

[0033] In the actual medication process, different drugs have different pharmacological properties, such as differences in half-life and absorption rate. Some drugs need to be taken strictly at fixed times to ensure efficacy and safety, while other drugs have more relaxed requirements for medication time. For example, aspirin and antihypertensive drugs (such as enalapril) need to be taken on time to maintain stable blood drug concentrations, while antacids (such as aluminum hydroxide) and some vitamin supplements (such as vitamin C) can be taken before or after meals, with less impact on the effect.

[0034] Based on the above characteristics, first, the medication time interval between each two adjacent medications in the current time period is calculated respectively, and the medication time interval between all two adjacent medications in the current time period constitutes a time interval sequence, and the health indicators between all two adjacent medications in the current time period constitute a health indicator sequence; it should be noted that: the time interval sequence and the health indicator sequence are arranged in chronological order. Calculate the Spearman correlation coefficient between the time interval sequence and the health indicator sequence. The calculation method of the Spearman correlation coefficient is a prior art and will not be described in detail here. According to all elements in the time interval sequence, calculate the variance of all elements in the time interval sequence, and record the variance as the second variance. According to the Spearman correlation coefficient and the second variance, the medication behavior sensitivity coefficient is obtained. The Spearman correlation coefficient is positively correlated with the medication behavior sensitivity coefficient, and the second variance is negatively correlated with the medication behavior sensitivity coefficient.

[0035] Among them, a positive correlation means that the dependent variable will increase as the independent variable increases, and the dependent variable will decrease as the independent variable decreases. It can be an additive relationship, a multiplicative relationship, etc., which is determined by actual application; a negative correlation means that the dependent variable will decrease as the independent variable increases, and the dependent variable will increase as the independent variable decreases. It can be a subtractive relationship, a division relationship, etc., which is determined by actual application.

[0036] In this embodiment, the first sum of the second variance and the preset adjustment parameter is calculated, and the ratio between the Spearman correlation coefficient and the first sum is determined as the medication behavior sensitivity coefficient, and the preset adjustment parameter is a value greater than 0. The medication behavior sensitivity coefficient can be expressed as: Among them, E represents the sensitivity coefficient of medication behavior, U represents the time interval sequence, and P represents the health indicator sequence. represents the Spearman correlation coefficient between the time interval series and the health indicator series, Represents the variance of all elements in the time interval sequence, also known as the second variance, Indicates the preset adjustment parameters, Represents the first sum value.

[0037] The preset adjustment parameter is introduced into the calculation formula of the sensitivity coefficient of medication behavior to prevent the denominator from being 0. In this embodiment, the preset adjustment parameter is 0.01. In specific applications, the implementer can set it according to the specific situation. The larger the Spearman correlation coefficient between the time interval sequence and the health index sequence, the stronger the correlation between the two sequences, which means that the change of health indicators is closely related to the medication time interval, indicating that the patient's response to the drug is highly dependent on the medication time and frequency, and the greater the medication behavior sensitivity coefficient of the drug. The variance of all elements in the time interval sequence is used to reflect the fluctuation of the element values ​​in the time interval sequence. The larger the variance, the more discrete the element values, and the smaller the fluctuation of the medication time interval. If the patient's medication time interval fluctuates less in the current time period, and even a small change in the time interval can significantly affect the patient's health indicators in the time period, this shows that the patient's health status is highly dependent on the time interval and frequency of medication. Therefore, the medication behavior sensitivity coefficient of the drug is larger. When the Spearman correlation coefficient between the time interval sequence and the health index sequence is larger and the second variance is smaller, the medication behavior sensitivity coefficient is larger.

[0038] Step S3, determining the influence coefficient of medication compliance behavior based on the medication compliance coefficient and the medication behavior sensitivity coefficient; determining the medication behavior deviation coefficient according to the difference between the ratio of the drugs taken by the patient in the current time period and the preset ratio, the fluctuation of the ratio of each drug, the medication compliance coefficient and the influence coefficient of medication compliance behavior.

[0039] When a patient has a large medication behavior sensitivity coefficient when using drugs, the impact on the patient's daily medication compliance will be aggravated. Therefore, this embodiment will combine the medication compliance coefficient and the medication behavior sensitivity coefficient to determine the impact coefficient of medication compliance behavior.

[0040] Specifically, a second sum of the medication behavior sensitivity coefficient and a preset adjustment parameter is calculated; and a ratio between the medication compliance coefficient and the second sum is determined as an influence coefficient of the medication compliance behavior.

[0041] In this embodiment, a specific calculation formula for the influence coefficient of medication compliance behavior is given, and the influence coefficient of medication compliance behavior can be expressed as: Among them, F is the influence coefficient of medication compliance behavior, R is the medication compliance coefficient, and E is the sensitivity coefficient of medication behavior. Indicates the preset adjustment parameters, Represents the second sum.

[0042] The preset adjustment parameter is introduced into the calculation formula of the influence coefficient of medication compliance behavior in this embodiment to prevent the denominator from being 0. When the medication compliance coefficient is larger and the medication behavior sensitivity coefficient is smaller, the influence coefficient of medication compliance behavior is larger.

[0043] The impact of drugs on patients’ health is closely related to their medication behavior. If a patient’s health status is very sensitive to the timing and frequency of medication, then even a slight fluctuation in compliance may have a significant impact on the efficacy.

[0044] Based on this, in subsequent analysis, for patients with a higher sensitivity coefficient to medication behavior, even though their medication compliance is good, a higher system reminder intensity still needs to be set to ensure that the effect of the drug is not negatively affected by fluctuations in compliance.

[0045] During the nursing process, patients usually need to use multiple drugs for combined treatment, and the differences in dosage and ratio of different drugs will significantly affect the final efficacy. Some drugs have strict requirements on dosage ratios. If patients use them improperly, the wrong dosage may seriously affect the effect of the drug.

[0046] According to the ratio of each drug taken by the patient each time in the current time period, the standard deviation of the ratio of each drug taken by the patient in the current time period is calculated, and the standard deviation of the ratio of each drug taken by the patient in the current time period is recorded as the fluctuation degree of the ratio of each drug. The larger the value, the greater the fluctuation of the actual ratio of the drug in the patient's historical medication process, and there may be inconsistency in the ratio, which makes it difficult for the patient to accurately determine the medication ratio each time; using this method, the fluctuation degree of the ratio of each drug can be obtained, and one medicinal flavor corresponds to one fluctuation degree of the ratio. Therefore, according to the difference between the ratio of each drug taken by the patient in the current time period and the preset ratio and the corresponding fluctuation degree of the ratio, the dosage deviation coefficient of each drug is obtained, and the difference between the ratio of each drug and the preset ratio and the fluctuation degree of the ratio are both positively correlated with the dosage deviation coefficient.

[0047] Among them, the positive correlation means that the dependent variable will increase as the independent variable increases, and the dependent variable will decrease as the independent variable decreases. It can be an additive relationship, a multiplicative relationship, etc., which is determined by practical applications.

[0048] In this embodiment, a specific calculation formula for the dosage deviation coefficient is given, and the dosage deviation coefficient of the i-th drug can be expressed as: in, represents the dosage deviation coefficient of the i-th drug, represents the standard deviation of the proportion of the i-th drug taken by the patient in the current time period, It indicates the ratio of the i-th drug when taking the drug for the u-th time in the current time period. represents the preset ratio of the i-th drug, U represents the number of times the drug is taken in the current time period, Indicates the absolute value sign.

[0049] It is used to represent the difference between the ratio of the i-th drug when the patient takes the drug for the u-th time in the current time period and the preset ratio. The larger the absolute value, the greater the difference between the two. It is used to reflect the overall difference between the proportion of the i-th drug taken by the patient in the current time period and the preset proportion. The larger the value, the greater the overall difference. This embodiment combines the degree of fluctuation of the drug proportion with the average value of the deviation between the actual dosage and the preset proportion each time to form a comprehensive indicator to reflect the volatility and deviation of the drug proportion. This comprehensive measure helps to reveal whether there are significant proportion errors and instabilities in the actual medication process of the patient. When the standard deviation of the proportion of the i-th drug taken by the patient in the current time period is larger and the overall difference between the proportion of the i-th drug taken in the current time period and the preset proportion is also larger, it means that the dosage deviation of the i-th drug taken by the patient in the current time period is larger, that is, the dosage deviation coefficient of the i-th drug is larger.

[0050] By using the above method, the dosage deviation coefficient of each drug can be obtained, and the average value of the dosage deviation coefficients of all drugs is used as the overall dosage deviation. It should be noted that the preset ratio of each drug is set by the doctor according to the patient's condition.

[0051] When the patient's medication process is strictly fixed during daily care, the greater the impact of medication compliance on the treatment effect, the patient's low compliance at the current stage may significantly affect the final nursing treatment effect; at the same time, considering that the patient's medication dosage deviation coefficient is large during each medication process, it may further aggravate the patient's medication behavior deviation at the current stage, thereby affecting the accuracy and efficacy of the treatment effect.

[0052] Based on the above analysis, the product of the negative correlation normalized result of the medication compliance coefficient, the influence coefficient of the medication compliance behavior and the overall deviation of the medication dosage is determined as the medication behavior deviation coefficient.

[0053] In this embodiment, a specific calculation formula for the medication behavior deviation coefficient is given, and the medication behavior deviation coefficient can be expressed as: Among them, Q represents the medication behavior deviation coefficient, F represents the influence coefficient of medication compliance behavior, R represents the medication compliance coefficient, and e represents the natural constant. Indicates overall deviation in medication dosage.

[0054] It indicates the negative correlation normalization result of the medication compliance coefficient. When the medication compliance coefficient is smaller, the influence coefficient of medication compliance behavior is larger, and the overall deviation of medication dosage is larger, it means that the patient has a large deviation in medication dosage in the current time period, so the medication behavior deviation coefficient is larger.

[0055] So far, this embodiment has obtained the patient's medication behavior deviation coefficient.

[0056] Step S4, using the medication behavior deviation coefficient to adjust the frequency of automatic medication reminders.

[0057] In traditional automatic medication reminder systems, patients are usually reminded of their medication care by setting a fixed reminder frequency. However, due to the personalized living habits of patients, there may be inconsistencies in the medication time during daily care. Traditional methods cannot provide personalized medication reminder strategies based on the individual needs of patients.

[0058] In step S3 of this embodiment, the medication behavior deviation coefficient is obtained. The larger the medication behavior deviation coefficient is, the more serious the medication dosage deviation behavior of the patient in the nursing medication process is. When optimizing the automatic reminder logic of the system in the future, it is necessary to set a stronger automatic reminder intensity for the patient to ensure the accuracy of medication.

[0059] Specifically, the rounded-up result of the product of the medication behavior deviation coefficient and the preset reminder frequency is calculated, and the rounded-up result is used as the adjusted automatic medication reminder frequency, and the system reminder frequency is set to the adjusted automatic medication reminder frequency. When the time comes, the system will automatically remind the patient to take the medication. It should be noted that the preset reminder frequency is set manually. The system will monitor and determine the medication behavior deviation coefficient in real time based on the patient's actual medication behavior. The frequency of reminders is dynamically adjusted by tracking the patient's medication time, compliance behavior, and response to reminders. For example, if the patient does not take the medication on time, the system will increase the reminder frequency; conversely, if the patient follows the medication plan, the system will reduce the reminder frequency.

[0060] In addition, the system will customize personalized reminder content based on the patient's medication records and living habits. These reminders are not limited to notifications of medication time, but can also provide different reminder methods based on the patient's preferences, such as voice reminders, vibration reminders, or text message reminders, to ensure that the reminder method better meets the patient's needs and improves their medication compliance.

[0061] This embodiment first evaluates the patient's medication compliance and obtains the medication compliance coefficient based on the difference between the medication time interval of the patient's current time period and the preset medication time interval and the disorder of the patient's medication time. Then, based on the correlation between the patient's medication time interval and health indicators and the fluctuation of the medication time interval, the medication behavior sensitivity coefficient is obtained. The medication compliance coefficient and the medication behavior sensitivity coefficient can be used to comprehensively measure the patient's medication compliance and its influencing factors, and determine the influencing coefficient of medication compliance behavior. The dosage deviation behavior that may occur in the patient during the medication process is also considered, and the patient's medication behavior deviation coefficient is evaluated accordingly, and then the patient's automatic medication reminder frequency is determined, and the reminder frequency is adaptively adjusted, thereby ensuring that personalized nursing reminders can accurately meet the actual needs of patients, improve their medication compliance, and achieve better management results.

[0062] An embodiment of a nursing medication intelligent reminder system: like Figure 2 As shown, the figure shows a structural block diagram of a nursing medication intelligent reminder system, which includes a data acquisition module, a first calculation module, a second calculation module and a frequency adjustment module.

[0063] Among them, the data collection module is used to obtain the medication time, medication ratio and health indicators of each medication taken by the patient in the current time period; The first calculation module is used to obtain a medication compliance coefficient based on the difference between the medication time interval of the patient's medication in the current time period and the preset medication time interval and the disorder of the patient's medication time; and obtain a medication behavior sensitivity coefficient based on the correlation between the medication time interval of the patient's medication and the health index, as well as the fluctuation of the medication time interval; The second calculation module is used to determine the influence coefficient of medication compliance behavior based on the medication compliance coefficient and the medication behavior sensitivity coefficient; determine the medication behavior deviation coefficient according to the difference between the ratio of the medicine taken by the patient in the current time period and the preset ratio, the fluctuation of the ratio of each medicine, the medication compliance coefficient and the influence coefficient of medication compliance behavior; The frequency adjustment module is used to adjust the frequency of automatic medication reminders using the medication behavior deviation coefficient.

[0064] It should be understood that Figure 2The structural block diagram of a nursing medication intelligent reminder system and its modules shown can be implemented in various ways. For example, in some embodiments, the system and its modules can be implemented by hardware, software, or a combination of software and hardware. Among them, the hardware part can be implemented using dedicated logic; the software part can be stored in a memory and executed by an appropriate instruction execution system, such as a microprocessor or a dedicated design hardware. Those skilled in the art can understand that the above-mentioned method and system can be implemented using computer executable instructions and / or included in a processor control code, for example, such as a carrier medium such as a disk, CD or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. Such code is provided. The system and its modules of this specification can not only be implemented by hardware circuits such as ultra-large-scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, etc., or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., but can also be implemented by software executed by various types of processors, and can also be implemented by a combination of the above-mentioned hardware circuits and software (for example, firmware).

[0065] For more details about the above modules, please refer to other places in this manual and will not be repeated here.

[0066] In other embodiments, a nursing medication intelligent reminder device is also provided, including a memory and a processor. The memory is used to store executable program code, and the processor is used to call and run the executable program code from the memory, so that the device executes the above-mentioned nursing medication intelligent reminder method. The device can be specifically a chip, a component or a module, and the chip may include a connected processor and a memory; wherein the memory is used to store instructions, and when the processor calls and executes the instructions, the chip can execute a nursing medication intelligent reminder method provided in the above-mentioned embodiment.

[0067] In other embodiments, a computer program product is also provided. When the computer program product is run on a computer, the computer executes the above-mentioned related steps to implement a nursing medication intelligent reminder method provided in the above-mentioned embodiment.

[0068] In other embodiments, a computer-readable storage medium is also provided, in which a computer program code is stored. When the computer program code is executed on a computer, the computer executes the above-mentioned related method steps to implement a nursing medication intelligent reminder method provided in the above-mentioned embodiment.

[0069] Among them, the provided system, electronic device, computer program product, and computer-readable storage medium are all used to execute the corresponding methods provided above. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding methods provided above, and will not be repeated here.

[0070] It should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A nursing medication intelligent reminder method, characterized in that: The method comprises the following steps: Obtain the medication time, medication ratio and health indicators of each medication taken by the patient in the current time period; The medication compliance coefficient is obtained by combining the difference between the medication time interval of the patient in the current time period and the preset medication time interval and the disorder of the patient's medication time; the medication behavior sensitivity coefficient is obtained according to the correlation between the medication time interval of the patient and the health index, as well as the fluctuation of the medication time interval; Determine the influence coefficient of medication compliance behavior based on the medication compliance coefficient and the medication behavior sensitivity coefficient; determine the medication behavior deviation coefficient according to the difference between the proportion of the medicine taken by the patient in the current time period and the preset proportion, the fluctuation of the proportion of each medicine, the medication compliance coefficient and the influence coefficient of medication compliance behavior; Using the medication behavior deviation coefficient to adjust the frequency of automatic medication reminders; The medication compliance coefficient is obtained by combining the difference between the medication time interval of the patient's medication in the current time period and the preset medication time interval and the disorder of the patient's medication time, including: According to the distribution of medication time of the patient in the current time period, the medication time disorder coefficient is calculated; Calculate the first average value of the medication time intervals between all two adjacent medications taken by the patient every day in the current time period; combine the difference between the first average value and the preset medication time interval corresponding to each day in the current time period and the medication time disorder coefficient to obtain a medication compliance coefficient, wherein the difference between the first average value and the preset medication time interval and the medication time disorder coefficient are both negatively correlated with the medication compliance coefficient; The medication behavior sensitivity coefficient is obtained based on the correlation between the medication time interval of the patient and the health index, as well as the fluctuation of the medication time interval, including: The time intervals between all two consecutive medications in the current time period constitute a time interval sequence; the health indicators between all two consecutive medications in the current time period constitute a health indicator sequence; Calculating the Spearman correlation coefficient between the time interval sequence and the health indicator sequence; calculating the second variance of all elements in the time interval sequence; According to the Spearman correlation coefficient and the second variance, a medication behavior sensitivity coefficient is obtained, the Spearman correlation coefficient is positively correlated with the medication behavior sensitivity coefficient, and the second variance is negatively correlated with the medication behavior sensitivity coefficient.

2. According to claim 1, a nursing medication intelligent reminder method is characterized in that: The calculation of the medication time disorder coefficient according to the distribution of medication time of the patient in the current time period includes: For any day in the current time period, the medication times of all medications taken by the patient on that day constitute the medication timestamp sequence of that day; All elements at the same position in all medication timestamp sequences in the current time period constitute a subsequence; the variance of all elements in each subsequence is calculated as the first variance corresponding to each subsequence; The average value of the first variance of all subsequences is determined as the medication time disorder coefficient.

3. According to claim 1, a nursing medication intelligent reminder method is characterized in that: The method of obtaining a medication behavior sensitivity coefficient based on the Spearman correlation coefficient and the second variance includes: The first sum of the second variance and a preset adjustment parameter is calculated, and the ratio between the Spearman correlation coefficient and the first sum is determined as a medication behavior sensitivity coefficient, wherein the preset adjustment parameter is a value greater than 0.

4. The method for intelligently reminding nursing medication according to claim 1, characterized in that: The determining the influence coefficient of medication compliance behavior based on the medication compliance coefficient and the medication behavior sensitivity coefficient includes: Calculate the second sum of the medication behavior sensitivity coefficient and the preset adjustment parameter; and determine the ratio between the medication compliance coefficient and the second sum as the influence coefficient of the medication compliance behavior.

5. The method for intelligently reminding nursing medication according to claim 1, characterized in that: Determining the medication behavior deviation coefficient based on the difference between the ratio of the medication taken by the patient in the current time period and the preset ratio, the fluctuation of the ratio of each medication, the medication compliance coefficient and the influence coefficient of medication compliance behavior includes: The standard deviation of the proportion of each drug taken by the patient in the current time period is recorded as the fluctuation degree of the proportion of each drug; According to the difference between the ratio of each drug taken by the patient in the current time period and the preset ratio and the corresponding fluctuation degree of the ratio, the dosage deviation coefficient of each drug is obtained, and the difference between the ratio of each drug and the preset ratio and the fluctuation degree of the ratio are both positively correlated with the dosage deviation coefficient; Based on the dosage deviation coefficient of all drugs, the overall deviation of the dosage is evaluated; The medication compliance coefficient, the influence coefficient of the medication compliance behavior and the overall deviation of the medication dosage are comprehensively considered to obtain the medication behavior deviation coefficient.

6. The method for intelligently reminding nursing medication according to claim 5, characterized in that: The evaluating the overall deviation of the dosage based on the dosage deviation coefficient of all drugs includes: taking the average value of the dosage deviation coefficients of all drugs as the overall deviation of the dosage.

7. The method for intelligently reminding nursing medication according to claim 5, characterized in that: The comprehensive medication compliance coefficient, the influence coefficient of the medication compliance behavior and the overall deviation of the medication dosage are used to obtain the medication behavior deviation coefficient, including: The product of the negative correlation normalized result of the medication compliance coefficient, the influence coefficient of the medication compliance behavior and the overall deviation of the medication dosage is determined as the medication behavior deviation coefficient.

8. The method for intelligently reminding nursing medication according to claim 1, characterized in that: The method of adjusting the automatic medication reminder frequency by using the medication behavior deviation coefficient includes: The rounded-up result of the product of the medication behavior deviation coefficient and the preset reminder frequency is calculated, and the rounded-up result is used as the adjusted medication automatic reminder frequency.

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