Disclosure of Invention
The application provides a method and a system for controlling linkage of intelligent medicine box medication data, which can realize dynamic compatible compensation of the intelligent medicine box medication data and improve the mutual matching degree of the medication data under different conditions in the linkage control of the intelligent medicine box medication data.
In a first aspect, the present application provides a method for controlling linkage of medication data of an intelligent medicine box, comprising the following steps:
monitoring the drug administration record of the intelligent drug box to obtain historical drug administration data when a target user uses the intelligent drug box;
Extracting the drug administration information of the intelligent drug box in different drug administration stages from the historical drug administration data, and further determining the drug administration credibility of the intelligent drug box in the current drug administration stage according to each drug administration information and the drug administration characteristic data of the intelligent drug box;
Acquiring abnormal medicine taking data of a target user when taking medicines from an intelligent medicine box, carrying out convolution identification on the abnormal medicine taking data to obtain an abnormal distribution domain of the target user when taking medicines abnormally, and determining a linkage correction factor of the target user when taking medicines according to the abnormal distribution domain and the medicine administration reliability;
Determining the medication period information of a target user when the target user takes the medicine, determining the linkage matching value of the intelligent medicine box for taking the medicine according to the medication period information and the dosage information of the medicine in the current medication stage, and carrying out linkage compensation on the dosage of the medicine in the intelligent medicine box through the linkage matching value to obtain the linkage dosage of the intelligent medicine box in the current medication stage;
And determining the medication risk degree of the current medication stage through the linkage correction factors and the linkage medication quantity, and carrying out linkage recommendation on the medication quantity strategy of the intelligent medicine box in the next medication stage according to the medication risk degree.
In some embodiments, extracting dosing information of the smart kit at different dosing stages from the historical dosing data specifically includes:
For each medication stage, screening medication records of different medication stages from the historical medication data;
Determining the dosage of each drug administration according to each drug administration record;
And determining the drug administration information of different drug administration stages according to all the drug administration amounts, and further obtaining the drug administration information of the intelligent drug box in different drug administration stages.
In some embodiments, determining the dosing confidence of the smart drug cassette at the current dosing stage based on the respective dosing information and the dosing characteristic data of the smart drug cassette specifically comprises:
Acquiring administration information of each administration stage;
determining a dosing stability value from all dosing amounts in the dosing information;
acquiring drug administration characteristic data of the intelligent drug box;
and determining the administration credibility of the intelligent medicine box in the current administration stage according to the administration stable value and the administration characteristic data, and further obtaining the administration credibility of the intelligent medicine box in each administration stage.
In some embodiments, performing convolution identification on the abnormal medicine taking data to obtain an abnormal distribution domain of the target user during abnormal medicine taking specifically includes:
Convolving the abnormal medicine taking data in the medicine taking behavior to obtain all abnormal behavior values of the target user;
And determining an abnormal distribution domain of the target user during abnormal medicine taking through all abnormal behavior values.
In some embodiments, determining the linkage matching value of the intelligent medicine box according to the medicine period information and the dosage information of the medicine in the current medicine using stage specifically includes:
acquiring dosage information of the medicine in the current medicine application stage;
Extracting the medication characteristic quantity of the target user in the current medication stage from the dose information;
And determining a linkage matching value of intelligent medicine box administration according to the medicine period information and the medicine characteristic quantity.
In some embodiments, the linkage compensation is performed on the usage dose of the medicine in the intelligent medicine box through the linkage matching value, so as to obtain the linkage dosage of the intelligent medicine box in the current medicine using stage, which specifically comprises the following steps:
for each administration stage, obtaining the dosage of the medicament in the intelligent medicament box;
The dosage is adjusted through the linkage matching value, so that the dosage of the intelligent medicine box in the medicine using stage is obtained;
And determining the linkage dosage of the intelligent medicine box in the current medicine using stage through all the dosages.
In some embodiments, historical dosing data for the target user using the smart cartridge is obtained by reading a database of smart cartridges.
In a second aspect, the present application provides an intelligent drug cassette medication data linkage control system, comprising:
The acquisition module is used for monitoring the drug administration record of the intelligent drug box to obtain historical drug administration data when the target user uses the intelligent drug box;
the processing module is used for extracting the drug administration information of the intelligent drug box in different drug administration stages from the historical drug administration data, and further determining the drug administration credibility of the intelligent drug box in the current drug administration stage according to each drug administration information and the drug administration characteristic data of the intelligent drug box;
The processing module is also used for acquiring abnormal medicine taking data of the target user when taking medicines from the intelligent medicine box, carrying out convolution identification on the abnormal medicine taking data to obtain an abnormal distribution domain of the target user when taking medicines abnormally, and determining a linkage correction factor of the target user when taking medicines according to the abnormal distribution domain and the medicine administration reliability;
the processing module is also used for determining the medication period information of a target user when the target user takes the medicine, determining the linkage matching value of the intelligent medicine box for taking the medicine according to the medication period information and the dosage information of the medicine in the current medication stage, and carrying out linkage compensation on the dosage of the medicine in the intelligent medicine box through the linkage matching value to obtain the linkage dosage of the intelligent medicine box in the current medication stage;
and the execution module is used for determining the medication risk degree of the current medication stage through the linkage correction factor and the linkage dosage, and carrying out linkage recommendation on the medication dosage strategy of the intelligent medicine box in the next medication stage according to the medication risk degree.
In a third aspect, the present application provides a computer device comprising a memory storing code and a processor configured to obtain the code and to perform the above-described intelligent kit medication data linkage control method.
In a fourth aspect, the present application provides a computer readable storage medium storing a computer program, which when executed by a processor, implements the intelligent medicine box medication data linkage control method described above.
The technical scheme provided by the embodiment of the application has the following beneficial effects:
The intelligent medicine box medicine data linkage control method and system provided by the application comprise the steps of firstly monitoring medicine feeding records of the intelligent medicine box to obtain historical medicine feeding data when a target user uses the intelligent medicine box, secondly extracting medicine feeding information of the intelligent medicine box in different medicine feeding stages from the historical medicine feeding data, further determining medicine feeding credibility of the intelligent medicine box in the current medicine feeding stage according to the medicine feeding information and medicine feeding characteristic data of the intelligent medicine box, then acquiring abnormal medicine feeding data when the target user takes medicine from the intelligent medicine box, carrying out convolution identification on the abnormal medicine feeding data to obtain an abnormal distribution domain when the target user takes medicine abnormally, determining linkage correction factors when the target user takes medicine according to the abnormal distribution domain and the medicine feeding credibility, then determining medicine feeding period information when the target user takes medicine, determining linkage matched values of the intelligent medicine box according to the medicine feeding period information and the medicine feeding information of the current medicine feeding stage, compensating medicine feeding doses of the intelligent medicine box according to the matched values, obtaining linkage medicine feeding factors of the intelligent medicine box in the current medicine feeding stage according to the linkage matched values, and finally determining linkage risk of the intelligent medicine feeding stage according to the linkage correction factors in the current medicine feeding stage.
Therefore, the application firstly needs to accurately identify and distinguish abnormal behaviors when the diversified medication habits and individual differences are larger, so that the abnormal medication data are convolutionally identified to obtain the abnormal distribution domain of the target user during abnormal medication, further the linkage correction factors during medication of the target user are determined, the medication quantity is adjusted according to the linkage correction factors to cope with the change of illness state or new medical guidance, the medication data in different medication stages can be matched with the actual medication condition of the target user, thereby improving the interoperability of the medication data during linkage control, then the medication stability and the validity of the target user in the corresponding medication period are ensured in the medication process, namely, the linkage matching value of the intelligent medication box is determined according to the medication period information and the dosage information of the medicament in the current medication stage, the medication dosage of the intelligent medication box is adjusted and optimized, then the medication safety of the target user in different medication stages is required to be optimized, the individual treatment requirements and the disease conditions are timely adjusted, the medication data in the stages and the actual medication conditions of the target user can be matched with the actual medication condition of the target user, the intelligent medication box is matched with the intelligent medication box in the optimal medication risk of the intelligent medication stage according to the recommended medicine dosage of the intelligent medication stage, and the intelligent medication stage is matched with the intelligent medication stage, and the intelligent medication box is required to be matched with the intelligent medication stage in the intelligent medication stage, and the intelligent medication stage is required to be matched with the intelligent medicine box in the intelligent medicine stage at the intelligent medicine stage in the intelligent medication stage according to the recommended risk, when the target user has abnormal medicine taking and dynamic change of medicine dosage, dynamic matching effect is formed among medicine data of different medicine taking stages, so that dynamic compatibility compensation of the medicine data of the intelligent medicine box can be realized, and the mutual matching degree among the medicine data of different medicine taking stages in the intelligent medicine box medicine data linkage control can be improved.
Detailed Description
The intelligent medicine box management method comprises the steps of obtaining historical medicine feeding data of a target user when the target user uses the intelligent medicine box through monitoring medicine feeding records of the intelligent medicine box, extracting medicine feeding information of the intelligent medicine box in different medicine feeding stages from the historical medicine feeding data, further determining medicine feeding credibility of the intelligent medicine box in the current medicine feeding stage according to the medicine feeding information and medicine feeding characteristic data of the intelligent medicine box, obtaining abnormal medicine feeding data of the target user when the target user takes medicine from the intelligent medicine box, carrying out convolution identification on the abnormal medicine feeding data to obtain abnormal distribution fields of the target user when the target user takes medicine, determining linkage correction factors of the target user when the target user takes medicine according to the abnormal distribution fields and the medicine feeding credibility, determining medicine feeding period information of the target user when the target user takes medicine, determining linkage matching values of the intelligent medicine box according to the medicine feeding period information and the medicine feeding information of the intelligent medicine in the current medicine feeding stage, carrying out linkage compensation on medicine feeding doses of the intelligent medicine in the intelligent medicine box according to the linkage matching values, and obtaining medicine feeding quantity of the intelligent medicine box in the current medicine feeding stage, and determining the intelligent medicine feeding risk of the intelligent medicine box in the recommended medicine feeding stage according to the linkage correction factors and the linkage medicine feeding risk of the current medicine feeding stage. According to the scheme, the linkage recommendation is carried out on the medication quantity strategy of the intelligent medicine box based on the medication risk degree, so that the mutual matching degree of medication data in different medication stages in the linkage control of the medication data of the intelligent medicine box can be improved.
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments. Referring to fig. 1, which is an exemplary flowchart of a smart cartridge medication data linkage control method 100 according to some embodiments of the present application, the smart cartridge medication data linkage control method 100 mainly includes the steps of:
In step 101, the dosing record of the smart kit is monitored, resulting in historical dosing data for the target user when using the smart kit.
In the specific implementation, a sensor for identifying the drug administration record is arranged in the intelligent drug box, the sensor can be a radio frequency identification reader, a pressure sensor, an optical sensor and the like, then data acquired by the sensor are stored in a database of the intelligent drug box, historical drug administration data when a target user uses the intelligent drug box can be obtained by reading the database of the intelligent drug box, wherein the time range of reading the database of the intelligent drug box is one month, all the read drug administration data form historical drug administration data when the target user uses the intelligent drug box, in addition, the data stored in the database of the intelligent drug box comprise opening time, drug administration quantity and the like when the intelligent drug box is opened, and in other embodiments, the historical drug administration data when the target user uses the intelligent drug box can also be obtained by adopting other methods without limitation.
It should be noted that, in the present application, the historical administration data of the target user when using the smart medicine box represents all the information related to the administration of the medicine collected and recorded by the smart medicine box, and the information includes the specific time when the smart medicine box is opened and the medicine is taken out each time, the dosage of the medicine taken, the administration behavior confirmed by the target user, the number of times of opening the medicine box every day or every week, and any abnormal administration behavior (such as missed administration or repeated medicine taking), and by analyzing the historical administration data, the administration strategies of different periods can be recommended.
In step 102, the administration information of the intelligent medicine box in different administration phases is extracted from the historical administration data, and then the administration credibility of the intelligent medicine box in the current administration phase is determined according to each administration information and the administration characteristic data of the intelligent medicine box.
In some embodiments, extracting the drug administration information of the smart drug cassette at different drug administration phases from the historical drug administration data can be achieved by:
For each medication stage, screening medication records of different medication stages from the historical medication data;
Determining the dosage of each drug administration according to each drug administration record;
And determining the drug administration information of different drug administration stages according to all the drug administration amounts, and further obtaining the drug administration information of the intelligent drug box in different drug administration stages.
When the method is specifically implemented, firstly, the historical administration data are sorted according to the time sequence, and the completeness of the historical administration data is ensured by adopting an interpolation method after sorting; then, dividing the medication process into different medication stages according to the treatment scheme or time period, such as an initial stage, a maintenance stage and a reduction stage, defining a time range for each medication stage, for example, the initial stage may be the first two weeks after the start of treatment, the maintenance stage is the next four weeks, screening all the medication records in the time ranges from the historical data, ensuring that the records of each medication stage comprise all the medication actions in the stage, namely, obtaining all the medication records of the medication stage, then extracting specific dose information of each medication from all the medication records of the screened medication stage, extracting the dose of each medication from each record, for example, if the dose of a certain medication in one record is 10mg, extracting the dose, namely, obtaining the medication amount of each medication, finally, carrying out statistical analysis on all the medication amounts of each stage, determining the medication information of the target medication in each stage, namely, carrying out the statistical analysis on all the medication amounts in the stage, namely, calculating the most-taking dose, calculating the average value, calculating the most-taking, and gradually increasing the statistical value, if the most-taking dose is the most stable, and gradually increasing the statistical value, if the statistics is calculated, and the most-taking the most statistics is gradually increasing, if the statistics is gradually increased, and the statistics are gradually determined, and the dosage is decreased, so that the administration information of the target medicine in each administration stage is obtained.
It should be noted that, in the present application, all the administration records of the administration stage represent all the administration information recorded by the intelligent medicine box in a specific administration stage, the records include specific time of each administration, dosage of the administration, administration behavior confirmed by the target user and any abnormal administration behavior, so as to evaluate the medication compliance and administration mode of the target user in the stage, the administration amount of each administration represents specific quantity or dosage of the target user taken out from the intelligent medicine box in each administration process, the administration information of the target medicine in each administration stage represents historical administration data according to the specific administration stage, and the administration plan and mode of the medicine in the stage are determined, including dosage, frequency and adjustment scheme of each administration, so that the administration information aims at optimizing the curative effect of the medicine and ensuring the safety and compliance of the administration.
In some embodiments, referring to fig. 2, which is a schematic diagram of an exemplary flow chart for determining the administration reliability of a smart medicine box in a current administration stage according to some embodiments of the present application, determining the administration reliability of a smart medicine box in the current administration stage according to each administration information and the administration characteristic data of the smart medicine box in this embodiment may be implemented by adopting the following steps:
in step 1021, medication information for each medication stage is obtained;
in step 1022, determining a dosing stability value from all doses in the dosing information;
in step 1023, dosing characteristic data of the intelligent kit is obtained;
In step 1024, the administration reliability of the intelligent medicine box in the current administration stage is determined according to the administration stability value and the administration characteristic data, so as to obtain the administration reliability of the intelligent medicine box in each administration stage.
In the specific implementation, firstly, the administration information of each administration stage is read, then, the administration information of each administration stage is collected, the administration dosage data in all administration records of the stage are collected, statistical analysis is carried out on all the data, such as calculation of average value, standard deviation or determination of dosage range, the administration stable value is determined, then, the administration characteristic data of the intelligent administration box is obtained through historical data or real-time monitoring data of the intelligent administration box record, the administration characteristic data can comprise the specific quantity actually taken by a target user during each administration, in other embodiments, the accurate administration characteristic data obtained through a sensor, namely the administration information of the target medicament in the administration stage is not limited, finally, the administration stable value and the administration characteristic data of the intelligent administration box are quantified, normalization processing can be adopted in the quantification process, the administration characteristic data of the intelligent administration box and the administration stable value are subjected to a ratio, the ratio is quantified to 0-1, the quantified ratio is taken as the administration reliability of the intelligent administration box in the current administration stage, the administration reliability of the intelligent administration box is determined in the administration stage, the reliability of the intelligent administration box is not required in the administration stage, and the reliability of the intelligent administration box is not limited in the administration stage, and the other reliability of the administration stage is determined in other cases.
It should be noted that, in the present application, the administration stability value represents the statistical characteristic of the drug administration amount calculated according to the historical data or the real-time monitoring data recorded by the intelligent drug box in a specific administration stage, which is usually an average value or other representative value, and reflects the general mode and level of drug administration in the stage, so as to evaluate and determine the stability and the expected dosage range of the drug administration of the intelligent drug box in the stage, the administration characteristic data of the intelligent drug box represents the specific drug dosage or the number of each administration obtained by recording or monitoring the intelligent drug box in real time in a specific treatment stage, and the data reflects the actual drug use condition of a target user in each treatment stage, and the administration reliability of the intelligent drug box in the current administration stage represents the actual drug use condition according to the historical data or the real-time monitoring data recorded by the intelligent drug box, and the reliability and accuracy of the administration process of the intelligent drug box in the stage are evaluated, and the consistency of the administration process and the expected administration plan of the intelligent drug box are reflected, so that the effectiveness and the safety of the medical treatment are beneficial to the medical judgment of a team.
In step 103, obtaining abnormal medicine taking data of the target user when taking medicine from the intelligent medicine box, carrying out convolution identification on the abnormal medicine taking data to obtain an abnormal distribution domain of the target user when taking medicine abnormally, and determining a linkage correction factor of the target user when taking medicine according to the abnormal distribution domain and the medicine administration reliability.
In particular, the method for acquiring the abnormal medicine taking data of the target user when taking medicine from the intelligent medicine box can be realized by firstly defining abnormal medicine taking behaviors such as untimely medicine taking, excessive medicine taking, frequent medicine taking and the like, then monitoring the medicine taking data stored in the intelligent medicine box in real time, wherein the intelligent medicine box generally records the time, the dosage and possibly other related information of each target user taking medicine, then setting corresponding abnormal detection rules based on the defined abnormal medicine taking behaviors, wherein the rules can be time-based (such as non-taking medicine exceeding a specified time), dose-based (such as exceeding a preset dosage) or frequency-based (such as excessively frequent medicine taking), and finally comparing and analyzing the medicine taking data recorded by the intelligent medicine box with the set abnormal detection rules, wherein the system can automatically identify the medicine taking behaviors conforming to the abnormal rules, mark the medicine taking behaviors as abnormal data, and the marked abnormal data as the abnormal medicine taking data of the target user taking medicine from the intelligent medicine box.
The set abnormal medicine taking behavior can also comprise marking as abnormal medicine taking on time if the target user does not take medicine within the set time, marking as excessive medicine taking abnormality if the medicine amount taken by the target user in single medicine taking exceeds the set safe dosage, and marking as frequent medicine taking abnormality if the target user frequently takes medicine within a short time exceeds the set times, which is not repeated here.
In addition, in the present application, the abnormal medication taking data when the target user takes the medication from the smart medicine box represents the recorded data of the medication taking behavior which is not consistent with the expected medication mode in the process of using the smart medicine box.
In some embodiments, the convolution identification is performed on the abnormal medicine taking data, so that obtaining the abnormal distribution domain of the target user during abnormal medicine taking can be achieved by the following steps:
Convolving the abnormal medicine taking data in the medicine taking behavior to obtain all abnormal behavior values of the target user;
And determining an abnormal distribution domain of the target user during abnormal medicine taking through all abnormal behavior values.
In the specific implementation, firstly, preprocessing collected abnormal medicine taking data, including data cleaning and formatting, ensuring good data quality and processing abnormal values or missing values, secondly, carrying out convolution on the abnormal medicine taking data, wherein the convolution process can be used for processing the abnormal medicine taking data by adopting mathematical convolution operation, for example, window processing can be carried out on the abnormal data by using a sliding window technology, so as to obtain all abnormal behavior values of a target user, in other embodiments, other methods can be adopted to determine all the abnormal behavior values of the target user, the limitation is not carried out, then, the time distribution mode and the intensity in all the abnormal behavior values can be visualized, the visualization can be selected by using a visualization chart, the limitation is not carried out, finally, the time range corresponding to the peak period and the valley period of the abnormal medicine taking after the visualization is used as the abnormal distribution domain of the target user during the abnormal medicine taking, wherein the peak period and the valley period of the abnormal medicine taking can be determined by adopting a computer code, for example, the peak period and the valley period in the Python pandas are not carried out, and the corresponding peak period and the valley period of the abnormal medicine taking are further analyzed.
It should be noted that all abnormal behavior values of the target user in the application represent specific data which are recorded and not consistent with the expected drug administration behavior in the process of using the intelligent drug box, including information such as time points, dosage, frequency and the like of behaviors such as untimely drug administration, excessive drug administration, frequent drug administration and the like, and an abnormal distribution domain of the target user drug administration behavior represents a range of a distribution mode and intensity characteristics in time obtained by analyzing and integrating the abnormal drug administration data.
In some embodiments, referring to fig. 3, which is a schematic flow chart of an exemplary process for determining a linkage correction factor when a target user uses medicine according to some embodiments of the present application, in this embodiment, the determination of the linkage correction factor when the target user uses medicine according to the abnormal distribution domain and the medication administration reliability may be implemented by adopting the following steps:
In step 1031, obtaining the administration credibility of the target user in the administration phase;
screening the abnormal behavior values of the drug administration stage in the abnormal distribution domain in step 1032;
In step 1033, determining a risk value of the target user for medication in the medication stage according to the abnormal behavior value and the medication reliability, and further obtaining a risk value of the target user for medication in each medication stage;
in step 1034, a linkage correction factor for the target user is determined based on all risk values.
When the method is specifically implemented, firstly, the administration credibility of each administration stage of a target user is read; then, in the abnormal distribution domain, screening out abnormal behavior values corresponding to each medication stage, and determining the abnormal behavior values corresponding to the medication stages according to the characteristics of each medication stage, namely taking the characteristics of each medication stage as the abnormal behavior values corresponding to the medication stages, wherein the characteristics of the medication stage can be the number of times of taking medicine without time, the number of times of taking medicine excessively, the number of times of taking medicine frequently, and the like, and the abnormal behavior values are not limited herein; then, defining a risk weight, for example, the weight of taking medicine not on time is 0.5, the weight of taking medicine excessively is 1.0, the weight of taking medicine frequently is 0.75, and the weighted score is calculated according to the abnormal behavior times and the corresponding weights occurring in each medicine taking stage, wherein the calculation of the weighted score can be determined by adopting a formula that the weighted score is = Σ (abnormal behavior times corresponding weight), further the result of combining the weighted score with the medicine taking reliability of each medicine taking stage is taken as the risk value of the medicine taking stage of the target user, the risk value of the medicine taking stage can be determined by adopting a mode that the risk value of the medicine taking stage is=the weight score/the medicine taking reliability of the medicine taking stage, in other embodiments, the risk value of the medicine taking stage can be determined by adopting other modes, the risk value of the medicine taking stage can be determined by adopting the method, and the risk value of the medicine taking stage can be obtained, and finally, in order to ensure the calculated reliability and consistency, the standard can be normalized by adopting the maximum standard process, and calculating probability distribution of the medication stage corresponding to the risk value after the standardization processing to obtain probability distribution values, and determining a linkage correction factor when the target user is dosed according to the ratio of the probability distribution values to the sum of the logarithmic product of the probability values of each medication stage and the probability values of all medication stages, wherein the ratio of the probability distribution values to the sum of the logarithmic product of the probability values of each medication stage and the probability values of all medication stages is used as the linkage correction factor when the target user is dosed.
It should be noted that, in the present application, the abnormal behavior value of the administration phase indicates a specific data record that the administration behavior of the target user does not match the expected administration information in the specific administration phase; the risk value of the target user taking medicine in each medicine taking stage represents the total calculated risk evaluation value of all abnormal medicine taking behavior values and medicine taking credibility recorded in the stage, the risk value reflects the medicine taking compliance and potential medicine taking safety problems of the target user in a specific medicine taking stage, and the linkage correction factor of the target user taking medicine represents the parameter for adjusting the actual medicine amount of the target user according to the medicine taking behavior and environmental factors of the target user in an intelligent medicine box system, and is used for correcting the medicine taking amount of the target user so as to ensure that the optimal treatment effect can still be achieved under different conditions.
In step 104, the medication period information of the target user when taking the medicine is determined, the linkage matching value of the intelligent medicine box for taking the medicine is determined according to the medication period information and the dosage information of the medicine in the current medication stage, and the linkage compensation is carried out on the dosage of the medicine in the intelligent medicine box through the linkage matching value, so that the linkage dosage of the intelligent medicine box in the current medication stage is obtained.
In specific implementation, the medication period information of the target user in medication can be realized by recording the time stamp of each medication taking in the intelligent medicine box, obtaining the information of the type, dosage, frequency and the like of the medication taken each time, sorting the medication records according to the time stamp, calculating the time interval between two consecutive medications taking, preliminarily determining the medication period, counting the common time interval again, identifying the medication frequency (such as daily, weekly and the like), dividing the medication stage (such as start-up period, maintenance period and decrement period) according to the medication frequency and the time interval, marking the start time and the end time of each stage, finally summarizing the medication records of each stage, calculating the average time interval and the medication frequency, confirming the medication period of each stage, and recording related data, namely obtaining the medication period information of the target user in medication, for example, the medication period information of 8 points and 8 points in the morning and evening are recorded by the intelligent medicine box, calculating the time interval (12 hours) between the two medications taking, identifying the medication frequency of the target user as two times daily, dividing the medication frequency as the start-up period and the maintenance period (daily, and the maintenance period) as the two times of each day, and the maintenance period as the start-up period and the two times and the maintenance period (daily schedule).
It should be noted that, the medication cycle information of the target user when taking the medicine in the present application indicates the medication frequency and mode of the target user recorded and analyzed in the intelligent medicine box system in a specific time period, including the time, dosage, medication interval of each medication, and the medication policy of different medication stages (such as start-up period, maintenance period, decrement period, etc.), where the medication cycle information is used to ensure that the target user takes the medicine on time and in quantity, and makes individual adjustment to optimize the therapeutic effect if necessary.
In some embodiments, determining the linkage matching value of the intelligent medicine box according to the medicine period information and the dosage information of the medicine in the current medicine stage can be achieved by the following steps:
acquiring dosage information of the medicine in the current medicine application stage;
Extracting the medication characteristic quantity of the target user in the current medication stage from the dose information;
And determining a linkage matching value of intelligent medicine box administration according to the medicine period information and the medicine characteristic quantity.
In specific implementation, firstly, a database in an intelligent medicine box can be read, all dose records in a current medicine stage are extracted from the intelligent medicine box, the time of each medicine and corresponding dose data are recorded, the dose information of the medicine in the current medicine stage is obtained, in other embodiments, the dose information of the medicine in the current medicine stage can also be obtained in other modes, which are not repeated here, then, the average dose, the maximum dose and the minimum dose of the medicine are calculated, the statistical medicine taking frequency and time intervals (such as daily medicine taking times, medicine taking interval time and the like) are counted, a medicine taking mode (such as regular medicine taking, irregular medicine taking, missing medicine and the like) is identified, all the data are combined, the combined result is taken as the medicine taking characteristic quantity of a target user in the current medicine taking stage, the combined process can be realized by adopting a medicine weighting average algorithm or main component analysis and the like, and finally, the medicine taking period information and the medicine taking characteristic quantity are firstly standardized, and then the medicine taking period information and the characteristic quantity after the standardized processing are used for carrying out standardization processing, namely, the medicine taking frequency of the intelligent medicine box is matched with the medicine taking mode (the average medicine taking frequency matched with the standard medicine taking weight value) and the medicine taking weight (the standard medicine taking weight matched with the weight value) and the intelligent medicine taking time interval is also defined in the mode (the standard medicine taking mode).
It should be noted that, the dosage information of the medicine in the current medication stage in the present application represents specific data about the dosage of the medicine in a specific medication stage, including average dosage, maximum dosage, minimum dosage, medication frequency, medication interval, medication mode and the like, which are used for analyzing and determining the medication rule and characteristics of a patient and providing basis for subsequent medication adjustment and optimization, the medication characteristic quantity of the target user in the current medication stage represents a set of comprehensive indexes reflecting the medication behavior and habit of the target user in the specific medication stage, including average dosage, maximum dosage, minimum dosage, medication frequency, medication interval, medication mode and the like, and the characteristic quantity is used for analyzing and describing the medication rule and characteristics of the target user, and the linkage matching value of the intelligent medicine box administration is a measure for ensuring that the administration of the medicine matches the medication requirement and state of the target user.
In some embodiments, the linkage matching value is used for carrying out linkage compensation on the dosage of the medicine in the intelligent medicine box, so that the linkage dosage of the intelligent medicine box in the current medicine using stage can be realized by adopting the following steps:
for each administration stage, obtaining the dosage of the medicament in the intelligent medicament box;
The dosage is adjusted through the linkage matching value, so that the dosage of the intelligent medicine box in the medicine using stage is obtained;
And determining the linkage dosage of the intelligent medicine box in the current medicine using stage through all the dosages.
When the method is concretely implemented, firstly, according to a medical scheme or a treatment plan, standard dosage of the target user for medicines in different medicine taking stages is determined, the stages can be divided according to time, for example, daily dosage or specific time interval distribution, then specific dosage data of the target medicines in each medicine taking stage is obtained from the intelligent medicine box, the dosage of the medicines in the intelligent medicine box is obtained, then, according to linkage matching values, the standard dosage of each medicine taking stage is adjusted, for example, if the standard dosage is 100 milligrams, the linkage matching values are-3.5%, the adjusted dosage is 100 (1+ (-0.035)), the standard dosage is 96.5 milligrams, in other embodiments, the adjustment of the dosage can be completed according to other modes, the repeated description is omitted, and then, according to the adjusted dosage and the medicine taking mechanism of the intelligent medicine box in each medicine taking stage, the correct dosage is usually determined depending on setting and use conditions of the medicine box, for obtaining the standard dosage of the medicines in each medicine taking stage, for example, if the standard dosage is 100 milligrams, the linkage matching values are-3.5%, the adjusted dosage is 100 times (1+ (-0.035)), the adjusted dosage is 96.5 milligrams, the adjusted in other embodiments can be completed according to other modes, the adjusted dosage is not repeated in the current mode, the intelligent medicine box is not needed to be provided in the whole medicine taking stage, and the whole medicine taking period is not needed to be taken as the medicine taking the medicine box, and the medicine box is required to be taken in the whole medicine taking mode, and the medicine stage, and the medicine box is required to be taken.
The intelligent medicine box of the application can be used for indicating the dosage of the medicine to be given to a patient in a specific time period or a medicine taking period according to medical advice or a treatment scheme, the dosage of the medicine to be given out by the intelligent medicine box in the medicine taking period is indicated in the specific time period or the medicine taking period, the dosage of the medicine to be given out by the intelligent medicine box in the current medicine taking period is indicated in the specific time period or the medicine taking period, and the medicine release amount of the intelligent medicine box is automatically adjusted according to real-time data or preset conditions.
In step 105, determining the medication risk degree of the current medication stage through the linkage correction factor and the linkage dosage, and carrying out linkage recommendation on the medication dosage strategy of the intelligent medicine box in the next medication stage according to the medication risk degree.
In some embodiments, determining the medication risk of the current medication stage through the linkage correction factor and the linkage dosage may be implemented by:
determining linkage administration indexes of the intelligent medicine box during administration according to the linkage administration amount;
and determining the medication risk degree of the current medication stage through the linkage medication index and the linkage correction factor.
When the method is concretely implemented, firstly, linkage correction factors and linkage dosage data of a current medication stage are obtained from an intelligent medicine box system, then the linkage dosage data are placed in a two-dimensional coordinate system, the linkage dosage data are connected with a smooth curve according to time sequence, a slope minimum value on the curve is calculated, the slope minimum value is used as a linkage medication index when the intelligent medicine box is used for medication, and then the medication risk of the current medication stage is calculated, namely, the product of the linkage correction factors and the linkage medication index can be quantized and then the medication risk of the current medication stage is determined, namely, the quantized result of the product of the linkage correction factors and the linkage medication index is used as the medication risk of the current medication stage, and the comprehensive evaluation of the risk according to the dosage and frequency of medicines, the physiological state and the medicine response characteristics of a target user is omitted here, wherein the linkage dosage data are placed in the two-dimensional coordinate system, the horizontal coordinate of the two-dimensional coordinate system is the date of each day in the medication stage, and the vertical coordinate is the daily medication of the current medication stage.
The application is characterized in that the linkage drug administration index in the drug administration of the intelligent drug box represents a quantitative value for adjusting and determining the drug dosage, and the drug risk in the current drug administration stage is a quantitative index comprehensively evaluated according to the current drug administration condition, drug dosage, drug frequency, drug regularity, individual health condition and other factors of a target user, and is used for measuring the potential risk or the degree of safety problem possibly existing in the current drug administration process.
In addition, in a specific implementation, the linkage recommendation of the dosage strategy of the intelligent medicine box in the next dosage stage according to the dosage risk degree can be implemented in such a way that the intelligent medicine box system can formulate the linkage recommendation strategy of the next dosage stage according to the obtained dosage risk degree, for example, if the current dosage risk degree is higher, the system can recommend to reduce the dosage of medicine or increase the dosage interval time to reduce the risk, otherwise, if the risk degree is lower, the current dosage and the current frequency can be recommended to be maintained.
It should be noted that, when the intelligent medicine box carries out linkage recommendation on the dosage strategy of the intelligent medicine box in the next medicine taking stage according to the medicine taking risk, the intelligent medicine box monitors that the target user has poor dosage adaptation to a certain medicine and has a certain risk, the intelligent medicine box obtains that the medicine taking risk of the current medicine taking stage is higher according to the current medicine taking condition and feedback data, at the moment, the linkage correction factor can reduce the recommended medicine dosage, the linkage dosage can be correspondingly reduced, and the system can recommend the strategy of reducing the dosage in the next medicine taking stage so as to reduce the potential medicine risk.
Additionally, in another aspect of the present application, in some embodiments, the present application provides a smart cartridge medication data linkage control system, referring to fig. 4, which is a schematic diagram of exemplary hardware and/or software of the smart cartridge medication data linkage control system according to some embodiments of the present application, the smart cartridge medication data linkage control system 400 includes an acquisition module 401, a processing module 402, and an execution module 403, respectively described as follows:
the acquisition module 401 is mainly used for monitoring the drug administration record of the intelligent drug box to obtain historical drug administration data when a target user uses the intelligent drug box;
the processing module 402 is mainly used for extracting the drug administration information of the intelligent drug box in different drug administration stages from the historical drug administration data, so as to determine the drug administration credibility of the intelligent drug box in the current drug administration stage according to the drug administration information and the drug administration characteristic data of the intelligent drug box;
the processing module 402 is further configured to obtain abnormal medicine taking data when the target user takes medicine from the intelligent medicine box, perform convolution identification on the abnormal medicine taking data, obtain an abnormal distribution domain when the target user takes medicine abnormally, and determine a linkage correction factor when the target user takes medicine according to the abnormal distribution domain and the medicine administration reliability;
the processing module 402 is further configured to determine medication cycle information when a target user takes a medication, determine a linkage matching value of the intelligent medicine box for medication according to the medication cycle information and dosage information of the medication in a current medication stage, and perform linkage compensation on a dosage of the medication in the intelligent medicine box through the linkage matching value to obtain a linkage dosage of the intelligent medicine box in the current medication stage;
The execution module 403 is mainly used for determining the medication risk degree of the current medication stage through the linkage correction factor and the linkage dosage, and carrying out linkage recommendation on the medication dosage strategy of the intelligent medicine box in the next medication stage according to the medication risk degree.
In addition, the application also provides a computer device, which comprises a memory and a processor, wherein the memory stores codes, and the processor is configured to acquire the codes and execute the intelligent medicine box medicine data linkage control method.
In some embodiments, reference is made to fig. 5, which is a schematic structural diagram of a computer device implementing a method for intelligent drug data linkage control for a drug cassette according to some embodiments of the application. The intelligent medicine box medication data linkage control method in the above embodiment can be implemented by a computer device shown in fig. 5, where the computer device 500 includes at least one processor 501, a communication bus 502, a memory 503, and at least one communication interface 504.
The processor 501 may be a general purpose central processing unit (central processing unit, CPU), an application-specific integrated circuit (ASIC), or one or more of the intelligent drug data linkage control methods for controlling the present application.
Communication bus 502 may be used to transfer information between the above-described components.
The Memory 503 may be, but is not limited to, a read-only Memory (ROM) or other type of static storage device that can store static information and instructions, a random access Memory (random access Memory, RAM) or other type of dynamic storage device that can store information and instructions, an electrically erasable programmable read-only Memory (ELECTRICALLY ERASABLE PROGRAMMABLE READ-only Memory, EEPROM), a compact disc (compact disc read-only Memory) or other optical disk storage, optical disk storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory 503 may be separate and coupled to the processor 501 via a communication bus 502. Memory 503 may also be integrated with processor 501.
Wherein the memory 503 is for storing program codes for executing the inventive arrangements and is controlled for execution by the processor 501. The processor 501 is configured to execute program code stored in the memory 503. One or more software modules may be included in the program code. The intelligent medicine box medication data linkage control method in the above embodiment can be implemented by one or more software modules in the program codes in the processor 501 and the memory 503.
Communication interface 504, using any transceiver-like device for communicating with other devices or communication networks, such as ethernet, radio access network (radio access network, RAN), wireless local area network (wireless local area networks, WLAN), etc.
In a specific implementation, as an embodiment, a computer device may include a plurality of processors, where each of the processors may be a single-core (single-CPU) processor or may be a multi-core (multi-CPU) processor. A processor herein may refer to one or more devices, circuits, and/or processing cores for processing data (e.g., computer program instructions).
The computer device may be a general purpose computer device or a special purpose computer device. In a specific implementation, the computer device may be a desktop, a laptop, a web server, a personal computer (PDA), a mobile handset, a tablet, a wireless terminal device, a communication device, or an embedded device. Embodiments of the application are not limited to the type of computer device.
In addition, the application also provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program realizes the intelligent medicine box medicine data linkage control method when being executed by a processor.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, it is intended that the present application also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.