Medicine taking reminding method and system for chronic pain patient

Abstract

The invention discloses a medicine taking reminding method and system for a chronic pain patient, and relates to the technical field of medical treatment, and the method comprises the steps that a data collection module obtains related data of the patient, and a data processing module carries out the comprehensive evaluation calculation of the medicine taking of the patient through the related data of the patient, and obtains a comprehensive patient medicine taking coefficient, the patient related data comprises patient body index data, drug analysis index data and life work and rest data; the data analysis module obtains the medicine taking time of the patient, calculates the medicine taking time based on the comprehensive patient medicine taking coefficient and the medicine taking time of the patient to obtain a pre-selected medicine taking time, calculates and judges the ratio of the pre-selected medicine taking time to the medicine taking time interval, and determines the optimal medicine taking time according to the judgment result; and the medicine taking reminding module reminds the patient of taking medicine based on the optimal medicine taking moment, so that the function of reminding the patient of the optimal medicine taking moment of the patient can be realized.

Description

Technical Field

[0001] The present invention relates to the field of medical technology, and specifically, to a medication reminder method and system for patients with chronic pain. Background Art

[0002] Chronic diseases are the number one threat to human health. At present, China has entered a high-incidence stage of chronic diseases. However, the applied research on the safe use of drugs for the elderly and patients with chronic diseases is still in its infancy, and there is no complete safety medication network information intervention system for patients during hospitalization and after discharge at home. Patients with chronic pain often need to take medicine regularly for a long time. However, due to busy work, living habits or memory problems, patients are prone to miss or take the wrong medicine, which affects the treatment effect and aggravates pain and the condition. Summary of the Invention

[0003] To solve the deficiencies mentioned in the above background art, the purpose of the present invention is to provide a medication reminder method and system for patients with chronic pain, which can remind patients of the best time to take medicine.

[0004] In a first aspect, the purpose of the present invention can be achieved through the following technical solutions: A medication reminder system for patients with chronic pain, comprising:

[0005] A data acquisition module: used to collect patient-related data and send the patient-related data to a data processing module, wherein the patient-related data includes: patient physical index data, drug analysis index data, and daily routine data;

[0006] A data processing module: used to perform data marking on the patient-related data, and use the marked patient-related data to perform a comprehensive evaluation calculation of the patient's medication, obtain a comprehensive patient medication coefficient, and send the comprehensive patient medication coefficient to a data analysis module;

[0007] A data analysis module: used to obtain the time when the patient takes the medicine, calculate the taking time based on the comprehensive patient medication coefficient and the time when the patient takes the medicine, obtain a preselected taking time, perform a ratio calculation and determination on the preselected taking time and a preset drug taking time interval, determine the best taking time according to the determination result, and send the best taking time to a medication reminder module;

[0008] A medication reminder module: used to set a medication reminder for the patient according to the best taking time;

[0009] A control center: used for the patient to input and store personal basic information, personal pain symptoms, medication plans, and drug-related information.

[0010] In combination with the first aspect, in certain implementations of the first aspect, the system further includes: the drug type and drug information of the drug analysis index data are obtained by acquiring the drug-related information entered by the patient in the control center through the data acquisition module.

[0011] In combination with the first aspect, in certain implementations of the first aspect, the system further includes: the data processing module marks the patient's physical index data as Si, marks the drug analysis index data as Yi, and marks the living schedule data as Hi, where i is the label of the acquisition times of the data acquisition module, and i = 1, 2, 3,..., n, and n is the total number of acquisition times of the data acquisition module;

[0012] Using the formula the comprehensive patient medication coefficient Zxi is calculated, where S0 is the preset standard patient physical index coefficient, Y0 is the preset standard drug analysis index coefficient, H0 is the preset standard living schedule coefficient, p1 is the patient medication influence coefficient, p2 is the drug analysis influence coefficient, and p3 is the living schedule influence coefficient.

[0013] In combination with the first aspect, in certain implementations of the first aspect, the system further includes: the calculation process of the data analysis module:

[0014] Obtain the drug taking time t of the patient;

[0015] Based on the comprehensive patient medication coefficient Zxi and the patient's drug taking time t, the preselected medication time Txi is calculated:

[0016]

[0017] where t 0 is the preset optimal drug taking time, and k is the preset correlation coefficient.

[0018] In combination with the first aspect, in certain implementations of the first aspect, the system further includes: the analysis process of the data analysis module:

[0019] Obtain the preset drug taking time interval [Tmin, Tmax], where Tmin is the earliest drug taking time and Tmax is the latest drug taking time;

[0020] When then determine that Txi is the optimal medication time and send the optimal medication time to the medication reminder module;

[0021] When then Txi is not the optimal medication time, send a feedback signal to the data acquisition module for re-acquisition until up to;

[0022] Wherein, q1 and q2 are preset proportionality coefficients.

[0023] Combined with the first aspect, in some implementations of the first aspect, the system further includes: the medication reminder module selects the smartwatch Fitbit for reminder, and the process is as follows:

[0024] Synchronize the smartwatch with the mobile phone;

[0025] Set reminder items on the smartwatch or use a dedicated medication reminder application;

[0026] The smartwatch will vibrate and display a reminder at the best time to take the medicine.

[0027] Second aspect, a medication reminder method for chronic pain patients, the method includes the following steps:

[0028] Obtain patient-related data, use the patient-related data to perform a comprehensive evaluation calculation of the patient's medication, and obtain a comprehensive patient medication coefficient. Among them, the patient-related data includes: patient physical index data, drug analysis index data, and daily routine data;

[0029] Obtain the time when the patient takes the medicine, calculate the taking time based on the comprehensive patient medication coefficient and the time when the patient takes the medicine, obtain a preselected taking time, perform a ratio calculation and determination on the preselected taking time and the medicine taking time interval, determine the best time to take the medicine according to the determination result, and give a medication reminder to the patient based on the best time to take the medicine.

[0030] Advantages of the present invention:

[0031] The present invention obtains patient-related data through the data acquisition module, the data processing module uses the patient-related data to perform a comprehensive evaluation calculation of the patient's medication, and obtains a comprehensive patient medication coefficient; the data analysis module obtains the time when the patient takes the medicine, calculates the taking time based on the comprehensive patient medication coefficient and the time when the patient takes the medicine, obtains a preselected taking time, performs a ratio calculation and determination on the preselected taking time and the medicine taking time interval, determines the best time to take the medicine according to the determination result, and the medication reminder module gives a medication reminder to the patient based on the best time to take the medicine, so as to realize the function of reminding the patient of the best time to take the medicine. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings;

[0033] Figure 1 It is a schematic structural diagram of the system of the present invention;

[0034] Figure 2 It is a schematic diagram of the method flow of the present invention. Specific implementation manners

[0035] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention.

[0036] Embodiment 1:

[0037] As Figure 1 shown, a medication reminder system for chronic pain patients includes:

[0038] a data acquisition module, a data processing module, a data analysis module, a medication reminder module, and a control center;

[0039] The data acquisition module is used to collect patient-related data and send the collected patient-related data to the data processing module for processing. Among them, the patient-related data includes: patient physical index data, drug analysis index data, and daily routine data;

[0040] Among them, the drug type and drug information of the drug analysis index data are obtained by the data acquisition module from the drug-related information entered by the patient in the control center;

[0041] After receiving the patient-related data sent by the data acquisition module, the data processing module performs data processing. Specifically, the processing process of the data processing module includes the following steps:

[0042] Perform data marking on the patient-related data, and use the marked patient-related data to perform comprehensive evaluation calculation of the patient's medication to obtain a comprehensive patient medication coefficient; the specific process is as follows:

[0043] Mark the patient physical index data as Si, mark the drug analysis index data as Yi, and mark the daily routine data as Hi. In the formula, i is the acquisition times label of the data acquisition module, and i = 1, 2, 3,..., n, where n is the total number of acquisition times of the data acquisition module;

[0044] Use the formula to calculate the comprehensive patient medication coefficient Zxi. In the formula, S0 is the preset standard patient physical index coefficient, Y0 is the preset standard drug analysis index coefficient, H0 is the preset standard daily routine coefficient, p1 is the patient medication influence coefficient, p2 is the drug analysis influence coefficient, and p3 is the daily routine influence coefficient;

[0045] Furthermore, in the specific implementation process, the preset standard patient body index coefficient, the preset standard drug analysis index coefficient and the preset standard drug analysis index coefficient are obtained by collecting the patient's body index data, drug analysis index data and daily routine data on a daily basis, and then performing multiple simulation calculations and taking the average value of the data;

[0046] Among them, in this embodiment, the patient medication influence coefficient, drug analysis influence coefficient and lifestyle influence coefficient are obtained by comprehensive evaluation and calculation based on the influence of external factors when the application obtains the patient's physical index data, drug analysis index data and lifestyle data on a daily basis, including human factors and environmental factors, etc.; human factors are some factors caused by human operation or improper scanning, among which, the patient medication influence coefficient includes the body rejection of the patient when taking the medicine, and the influence of inaccurate dosage, the drug analysis influence coefficient includes the influence of some humid or dry environments when the medicine is placed in the environment, which causes some medicines to be damp or too dry, and the lifestyle influence coefficient is the integration of data caused by some sudden times, such as socializing, staying up late, etc., which lead to the inability to carry out daily routines on time;

[0047] The data processing module sends the calculated comprehensive patient medication coefficient Zxi to the data analysis module for data analysis;

[0048] After receiving the comprehensive patient medication coefficient Zxi sent by the data processing module, the data analysis module performs data analysis. Specifically, the analysis process of the data analysis module includes the following steps:

[0049] Get the drug taking time interval [Tmin, Tmax], where Tmin is the earliest time to take the drug, Tmax is the latest time to take the drug, and the patient's drug taking time t;

[0050] Based on the comprehensive patient medication coefficient Zxi and the patient's medication time t, the medication time is calculated to obtain the pre-selected medication time Txi. The calculation process is as follows:

[0051]

[0052] In the formula, t 0 is the preset optimal time for taking the drug, and k is the preset correlation coefficient;

[0053] The pre-selected medication time Txi is compared with the medication time interval [Tmin, Tmax] to determine the best medication time:

[0054] when If so, it is determined that Txi is the optimal medication-taking time, and the data analysis module sends the optimal medication-taking time to the medication reminder module;

[0055] When If so, then Txi is not the optimal medication-taking time, and the data analysis module sends a feedback signal to the data acquisition module for re-acquisition until up to;

[0056] In the formula, q1 and q2 are preset proportionality coefficients;

[0057] After receiving the optimal medication-taking time sent by the data analysis module, the medication reminder module sets a medication reminder for the patient according to the optimal medication-taking time;

[0058] Specifically, the reminder methods adopted by the medication reminder module can be selected as follows:

[0059] 1. Use a smartwatch (Fitbit):

[0060] Synchronize the smartwatch with the mobile phone;

[0061] Set a reminder on the watch or use a dedicated medication reminder application;

[0062] The watch will vibrate and display a reminder at the specified time.

[0063] 2. Use a custom script or automation tool (FTTT, Zapier):

[0064] Create a new automation process;

[0065] Set the trigger condition (such as a specific time every day);

[0066] Set the action (such as sending a text message, push notification, etc.);

[0067] Save and enable the process, and it will automatically remind at the specified time.

[0068] 3. Use chatbots such as Facebook Messenger, WhatsApp:

[0069] Find or create a chatbot for medication reminders;

[0070] Set the reminder time and frequency;

[0071] The chatbot will send a message reminder at the specified time.

[0072] In this embodiment, a smartwatch is selected for reminder because the smartwatch can be conveniently carried on the patient's hand, and the reminder by vibration display can play a role in supervising and urging the patient, which is more convenient and fast than the other two methods;

[0073] The control center is used to store personal basic information, personal pain symptoms, medication plans, and drug-related information after patient registration.

[0074] Specifically, the following further elaborates on the solution of the present invention through embodiments:

[0075] Explanation of the Medication Knowledge and Health Education Framework in this Embodiment

[0076] I. Knowledge Content Display Unit

[0077] Drug Information Database Docking: Connect to an authoritative drug information database to obtain real-time basic information on commonly used drugs in the pain department, including names, dosage forms, specifications, etc., to ensure that patients can query accurate basic drug information.

[0078] Visual Presentation of Mechanism of Action: Use forms such as animations and charts to transform complex mechanisms of drug action into easy-to-understand content. For example, use dynamic diagrams to show the process of non-steroidal anti-inflammatory drugs inhibiting the generation of inflammatory mediators to help patients intuitively understand how the drug relieves pain.

[0079] II. Medication Guidance Interaction Unit

[0080] Push of Personalized Medication Plans: Based on the patient's condition, past medication records, and prescriptions issued by doctors, customize exclusive medication guidance for each patient. At each medication reminder, push detailed information such as the dosage, time, and administration method of this medication.

[0081] Medication Consultation Interactive Platform: Set up an online consultation entrance where patients can raise medication questions at any time, and professional pharmacists or medical staff will reply and answer within a specified time; at the same time, organize common questions and answers for patients to query by themselves.

[0082] III. Adverse Reaction Management Unit

[0083] Adverse Reaction Knowledge Base: Establish an adverse reaction knowledge base covering information such as adverse reaction symptoms, severity grading, and occurrence probability that may occur with various pain department drugs. Patients can view relevant content through search or by drug classification.

[0084] Risk Warning and Response Suggestions: Based on the patient's medication situation, pre-warn of possible adverse reactions. When a patient reports suspected adverse reaction symptoms, the system provides preliminary response suggestions based on the knowledge base and reminds the patient to contact the doctor in a timely manner.

[0085] IV. Health Education Expansion Unit

[0086] Popular science materials on pain management: Regularly update popular science articles and videos related to pain management, including the causes of pain, daily care methods, rehabilitation exercise techniques, etc., to help patients comprehensively understand chronic pain and coping methods.

[0087] Patient case sharing community: Build a patient communication community, encourage patients to share their medication experiences and rehabilitation insights, enhance the interaction and support among patients, and at the same time provide reference for new patients.

[0088] Example 2: Second aspect, as Figure 2 shown, a medication reminder method for chronic pain patients, the method includes the following steps:

[0089] Obtain patient-related data, use the patient-related data to perform comprehensive evaluation calculations of the patient's medication, and obtain a comprehensive patient medication coefficient. Among them, the patient-related data includes: patient physical index data, drug analysis index data, and daily routine data;

[0090] Obtain the time when the patient takes the medicine, calculate the taking time based on the comprehensive patient medication coefficient and the time when the patient takes the medicine, obtain a preselected taking time, calculate and determine the ratio of the preselected taking time to the medicine taking time interval, determine the best taking time according to the determination result, and give a medication reminder to the patient based on the best taking time.

[0091] Based on the same inventive concept, the present invention also provides a computer device, which includes: one or more processors, and a memory for storing one or more computer programs; the program includes program instructions, and the processor is used to execute the program instructions stored in the memory. The processor may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, and is used to implement one or more instructions, specifically used to load and execute one or more instructions in the computer storage medium to implement the above method.

[0092] It should be further noted that, based on the same inventive concept, the present invention also provides a computer storage medium, on which a computer program is stored. When the computer program is run by a processor, the above-mentioned method is executed. The storage medium can be any combination of one or more computer-readable media. The computer-readable media can be computer-readable signal media or computer-readable storage media. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electrical, magnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples (non-exhaustive list) of the computer-readable storage medium include: an electrical connection having one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present invention, the computer-readable storage medium can be any tangible medium that contains or stores a program, and this program can be used by or in combination with an instruction execution system, apparatus, or device.

[0093] The above formulas are all calculated by removing the dimension and taking their numerical values. The formulas are obtained by collecting a large amount of data for software simulation to get a formula closest to the actual situation. The preset parameters and preset thresholds in the formulas are set by those skilled in the art according to the actual situation or obtained by simulating a large amount of data.

[0094] In the description of this specification, the descriptions referring to terms such as "an embodiment", "example", "specific example", etc. mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present disclosure. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0095] The above shows and describes the basic principles, main features, and advantages of the present disclosure. Those skilled in the art of this industry should understand that the present disclosure is not limited by the above embodiments. The above embodiments and the descriptions in the specification only illustrate the principles of the present disclosure. Without departing from the spirit and scope of the present disclosure, the present disclosure will have various changes and improvements, and these changes and improvements all fall within the scope of the present disclosure claimed.

Claims

1. A medication reminder system for patients with chronic pain, characterized in that: include: Data collection module: used to collect patient-related data and send the patient-related data to the data processing module, wherein the patient-related data includes: patient physical index data, drug analysis index data and daily routine data; Data processing module: used to mark patient-related data, use the marked patient-related data to perform comprehensive evaluation and calculation of patient medication, obtain comprehensive patient medication coefficient, and send the comprehensive patient medication coefficient to the data analysis module; Data analysis module: used to obtain the time when patients take medicine, calculate the time of taking medicine based on the comprehensive patient medication coefficient and the time when patients take medicine, obtain the pre-selected medication time, calculate the ratio of the pre-selected medication time to the preset medication time interval, determine the best time to take medicine according to the judgment result, and send the best time to the medication reminder module; Medication reminder module: used to set medication reminders for patients based on the best time to take medication; Control Center: Used for patients to enter and store basic personal information, personal pain symptoms, medication plans, and drug-related information.

2. A medication reminder system for chronic pain patients according to claim 1, characterized in that: The drug type and drug information of the drug analysis index data are obtained by acquiring drug-related information entered by patients in the control center through a data acquisition module.

3. A medication reminder system for chronic pain patients according to claim 1, characterized in that: The data processing module marks the patient's physical index data as Si, the drug analysis index data as Yi, and the daily routine data as Hi, where i is the number of collection times of the data collection module, and i=1, 2, 3, ..., n, and n is the total number of collection times of the data collection module; Using the formula The comprehensive patient medication coefficient Zxi is calculated, where S0 is the preset standard patient physical index coefficient, Y0 is the preset standard drug analysis index coefficient, H0 is the preset standard lifestyle coefficient, p1 is the patient medication influence coefficient, p2 is the drug analysis influence coefficient, and p3 is the lifestyle influence coefficient.

4. A medication reminder system for chronic pain patients according to claim 1, characterized in that: The calculation process of the data analysis module: Get the time t when the patient takes the medicine; The medication time is calculated based on the comprehensive patient medication coefficient Zxi and the patient's medication time t, and the pre-selected medication time Txi is obtained: In the formula, t0 is the preset optimal time for taking the drug, and k is the preset correlation coefficient.

5. A medication reminder system for chronic pain patients according to claim 4, characterized in that: The analysis process of the data analysis module: Get the preset drug taking time interval [Tmin, Tmax], where Tmin is the earliest time to take the drug and Tmax is the latest time to take the drug; when When , Txi is determined as the best time to take the medicine, and the best time to take the medicine is sent to the medication reminder module; when When Txi is not the best time to take the medicine, a feedback signal is sent to the data acquisition module for re-collection. until; Where q1 and q2 are preset proportional coefficients.

6. A medication reminder system for chronic pain patients according to claim 1, characterized in that: The medication reminder module selects the smart watch Fitbit for reminder, and the process is as follows: Sync your smartwatch with your phone; Set reminders on your smartwatch or use a dedicated medication reminder app; The smartwatch will vibrate and display a reminder at the best time to take the medicine.

7. A medication reminder method for patients with chronic pain, characterized in that: The method comprises the following steps: Acquire patient-related data, use the patient-related data to perform a comprehensive evaluation and calculation of the patient's medication, and obtain a comprehensive patient medication coefficient, wherein the patient-related data includes: patient physical index data, drug analysis index data, and daily routine data; Obtain the time when the patient takes the medicine, calculate the time of taking the medicine based on the comprehensive patient medication coefficient and the time when the patient takes the medicine, get the pre-selected medication time, calculate and determine the ratio of the pre-selected medication time and the drug taking time interval, determine the best time to take the medicine according to the determination result, and remind the patient to take the medicine based on the best time to take the medicine.

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