CN112674723A - Medication compliance monitoring method, terminal and readable storage medium - Google Patents
Medication compliance monitoring method, terminal and readable storage medium Download PDFInfo
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Abstract
The invention discloses a method for monitoring medication compliance, a terminal and a readable storage medium, wherein the method comprises the following steps: monitoring current time information of a terminal, and identifying the medicine taking process of a patient through a preset algorithm under the condition that the current time information is in a specified medicine taking time interval; and recording the medicine taking process according to the identification result. According to the embodiment of the invention, the medicine taking process of the patient is identified through the preset algorithm, and the medicine taking process is recorded under the condition that the identification is passed, so that doctors and family members of the patient can be assisted to realize auxiliary management, and the overall medicine taking compliance of the mental disorder patient is improved.
Description
Technical Field
The invention relates to the technical field of auxiliary medical treatment, in particular to a method for monitoring medication compliance, a terminal and a readable storage medium.
Background
The evaluation method of the compliance of taking medicine at the present stage mainly comprises self-reporting, relevant compliance evaluation scale, tablet counting, blood concentration monitoring and the like. While self-reporting and drug compliance assessment scales are currently the most commonly used in the clinic, these scores often overestimate patient compliance. The blood concentration detection has individual difference, and an accurate threshold value is difficult to determine. Tablet counting consumes a lot of manpower and is difficult to track. Electronic compliance monitoring has been reported to use medication caps with microprocessors, but the above methods have not been widely used clinically.
The traditional method has little effect of improving the drug administration compliance of mental disease patients, and along with the popularization of smart phones, the reduction of the development difficulty of mobile phone application programs (APP) and the development of Artificial Intelligence (AI) and machine learning technologies, the management and intervention of the drug administration compliance through new technologies become new directions. At present, compliance detection methods applying new technologies in clinical applications, such as digital tablets, automated compliance monitoring, remote management, Virtual Reality (VR) and other technologies, are new directions for future research and application, and are new means capable of taking accuracy and feasibility into consideration. But technologies such as VR, intelligent medicine bottle are expensive, compare in smart mobile phone APP popularization and application degree of difficulty great.
The serious mental disorder patients generally have the current situation of poor drug administration compliance, so that the burden of diseases is increased due to poor prognosis such as aggravation and relapse of diseases, and therefore, the development of a means capable of effectively monitoring and evaluating the drug administration compliance of the patients is a problem to be solved urgently in need of managing the serious mental disorder.
Disclosure of Invention
The embodiment of the invention provides a method, a terminal and a readable storage medium for monitoring the medication compliance, which can improve the overall medication compliance of patients with mental disorder.
In a first aspect, an embodiment of the present invention provides a method for monitoring medication compliance, including:
monitoring current time information of a terminal, and identifying the medicine taking process of a patient through a preset algorithm under the condition that the current time information is in a specified medicine taking time interval;
and recording the medicine taking process according to the identification result.
Optionally, in the case that the current time is in the designated taking time interval, the method further comprises:
authenticating the patient, recording the identity information of the patient after the authentication is successful, and acquiring the medicine information corresponding to the patient;
the drug information includes: time of taking the medication, type of medication and quantity of medication.
Optionally, after obtaining the medicine taking information corresponding to the patient, the method further includes:
and setting corresponding timing reminding according to the medicine taking time.
Optionally, before the identification of the medication process of the patient through a preset algorithm, the method further includes:
monitoring the medicine quantity of the current medicine;
under the condition that the quantity of the current medicines is inconsistent with the preset quantity of the medicines, prompting the patient to execute the detection of the quantity of the medicines again until the quantity of the current medicines is consistent with the preset quantity of the medicines.
Optionally, the identification of the medicine taking process of the patient through a preset algorithm includes:
monitoring video data of a medicine taking process of a patient;
identifying whether the video data contain swallowing actions through a preset deep learning algorithm;
and after determining that the video data contains the swallowing action, sending a prompt message of the end of taking medicine to the patient.
Optionally, after the patient determines that the taking of the medicine is finished, recording the medicine taking process according to the identification result includes:
and associating and storing the video data and the corresponding time information into the medicine taking record of the patient.
In a second aspect, an embodiment of the present invention provides a terminal, where the terminal includes a processor, a memory, and a communication bus;
the communication bus is used for realizing connection communication between the processor and the memory;
the processor is configured to execute one or more computer programs stored in the memory to implement the aforementioned steps of the medication compliance monitoring method.
In a third aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the foregoing steps of the medication compliance monitoring method.
According to the embodiment of the invention, the medicine taking process of the patient is identified through the preset algorithm, and the medicine taking process is recorded under the condition that the identification is passed, so that doctors and family members of the patient can be assisted to realize auxiliary management, and the overall medicine taking compliance of the mental disorder patient is improved.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a basic flow diagram of a first embodiment of the present invention;
FIG. 2 is a schematic structural diagram of an apparatus according to a first embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Example one
Studies have shown that severe mental disorder patients have cell phone holdings as high as 86%, including 60% smartphone holdings. The digital medical treatment can solve the problems of low accessibility of mental disease medical services, shortage of medical staff and strong affection. Because of their availability and acceptability in patients with severe mental disorders, and their real-time and availability for assessment, the use of smartphones is an ideal vehicle for improving medication compliance and can serve as a vehicle for managing a system for patients with severe mental disorders.
A first embodiment of the present invention provides a method for monitoring compliance with drug administration, as shown in fig. 1, including:
s101, monitoring current time information of a terminal, and identifying the medicine taking process of a patient through a preset algorithm under the condition that the current time information is in a specified medicine taking time interval;
and S102, recording the medicine taking process according to the identification result.
The method of the embodiment can be applied to a patient using terminal, for example, a corresponding APP can be installed in the patient terminal and a corresponding management terminal can be set, for example, the management terminal can be a web page. Management of the APP can thus be achieved through the web page web. The web page can be a background management system, and is divided into administrator rights and doctor rights in terms of rights.
For example, an administrator web page side authority may have the following functions:
a) the administrator is responsible for registering the patient, and the main tasks include establishing a patient account, generating an account name password, and inputting patient information into a patient information database (identity, head portrait, information on an attending doctor and some medical records), wherein the head portrait of the patient needs to be collected through a usb camera on site;
b) the administrator has the authority to change the information of doctors and patients;
c) the administrator is responsible for inputting the medicine information into the medicine information database, and the information in the information database can not be changed in principle after being input;
the doctor web page side authority can have the following functions:
a) the information of all patients under the name of the patient can be checked, and the information which does not belong to the identity of the patient can be modified;
b) the medicine taking records of all patients under the name of the patient can be checked but cannot be changed;
c) the system can complete simple data visualization functions, such as the medicine taking completion ratio (including the self-evaluation ratio and the APP evaluation ratio) of a patient, the times of completing medicine taking in a selected time interval, the ratio of the medicine taking amount to the given medicine amount and the like.
The method can be applied to APP used by the patient, so that the medicine taking process of the patient is identified through a preset algorithm, and the medicine taking process is recorded according to the identification result, so that doctors and family members of the patient can be assisted to realize auxiliary management, and the overall medicine taking compliance of the patient with mental disorder is improved.
Optionally, in the case that the current time is in the designated taking time interval, the method further comprises:
authenticating the patient, recording the identity information of the patient after the authentication is successful, and acquiring the medicine information corresponding to the patient;
the drug information includes: time of taking the medication, type of medication and quantity of medication.
Specifically, in this embodiment, when the current time is in the specified medicine taking time interval, the patient is authenticated, and the specific authentication manner may be to acquire a face image by using a camera, and then compare the face image with the returned result by using a server, or to download corresponding face data or biometric data from the server, for example, the IOS client may acquire data such as a fingerprint of the user, thereby implementing authentication of the user. And after the authentication is successful, the user enters the corresponding APP page. Certainly, if the current time is not in the medicine taking time period, the APP prompt can be used for prompting; please take the medicine at the prescribed time.
Optionally, after obtaining the medicine taking information corresponding to the patient, the method further includes:
and setting corresponding timing reminding according to the medicine taking time.
After any login is successful, medicine information corresponding to the patient can be acquired from the server, wherein the medicine information packet comprises: time of taking the medication, type of medication and quantity of medication. That is, for each patient, a doctor can record the medicine required to be taken by the patient through a web terminal, so that the APP can read the corresponding medicine information after the user logs in. Meanwhile, the doctor can set a corresponding medicine taking time range, for example, the medicine is taken three times every day, a specific time period is set, and the APP acquires corresponding medicine taking time in the process of acquiring medicine information. Therefore, the corresponding reminding event can be set for the user according to the medicine taking time. Of course, the reminding event includes, but is not limited to, setting a reminding alarm clock and the like.
Optionally, before the identification of the medication process of the patient through a preset algorithm, the method further includes:
monitoring the medicine quantity of the current medicine;
under the condition that the quantity of the current medicines is inconsistent with the preset quantity of the medicines, prompting the patient to execute the detection of the quantity of the medicines again until the quantity of the current medicines is consistent with the preset quantity of the medicines.
And in the case that the current time information is in the specified medicine taking time interval, supervising the process of taking the medicine by the patient. The method specifically comprises the following steps of firstly prompting a patient to put a medicine into the palm, calling a camera to collect the medicine quantity information in the palm of the user, and prompting the patient to perform re-detection if the medicine quantity information is inconsistent with the preset medicine quantity until the medicine quantity information is consistent with the preset medicine quantity information.
Optionally, the identification of the medicine taking process of the patient through a preset algorithm includes:
monitoring video data of a medicine taking process of a patient;
identifying whether the video data contain swallowing actions through a preset deep learning algorithm;
and after determining that the video data contains the swallowing action, sending a prompt message of the end of taking medicine to the patient.
After the number of medicines is consistent, the terminal records a video through the camera to identify the swallowing action of the user side, for example, a corresponding detection button can be arranged on the APP, the patient clicks the corresponding button, the swallowing starting time is recorded through the terminal camera, then the recording is finished after a certain time interval is waited, for example, the video recording is finished after the swallowing is started for 5s, and therefore video data which can contain the swallowing action of the patient is obtained. And then identifying the swallowing action in the video through a pre-trained deep learning algorithm, and if the swallowing action exists in the video data, confirming that the medicine taking of the patient is finished and entering the supervision flow of the next medicine. Certainly, as an optional implementation manner, the video data may also be uploaded to a server, and after the video data is identified by the server, a corresponding identification result is returned to the terminal APP, and the specific algorithm setting is not limited herein.
Optionally, after the patient determines that the taking of the medicine is finished, recording the medicine taking process according to the identification result includes: and associating and storing the video data and the corresponding time information into the medicine taking record of the patient.
After the patient finishes taking the medicine, the corresponding video data and the medicine taking time information are stored in an associated mode. Recording the medicine taking process according to the recognition result may specifically be that, in the case of recognizing that the video data includes a swallowing action, "this medicine taking is completed" is prompted by the APP, and the prompt text "is this time taken or not completed? ", and the buttons" yes "and" no ". And then the patient clicks a confirmation button 'yes', namely the patient confirms that the medicine taking is finished at the time, and the video data and the corresponding time information are stored in the medicine taking record of the patient in a correlation mode. Meanwhile, if the collected video data still does not contain swallowing action within the preset repetition times, the end of taking medicine can be indicated, and the corresponding video data is stored in an associated manner.
Of course, the medicine taking process can also be recorded directly according to the recognition result of the medicine taking process of the patient by the preset algorithm, for example, when the recognition is passed, that is, the video data includes the swallowing action, the video data, the recognition success result and the corresponding time information are stored in the medicine taking record of the patient in an associated manner; and under the condition that the identification is failed, namely the video data does not contain swallowing action, the video data, the identification failure result and the corresponding time information are stored in the medicine taking record of the patient in an associated mode.
Therefore, doctors and family members can track the medicine taking condition of the patients every day, and the doctors and the family members can check the medicine taking data in the medicine taking records of the patients to achieve the purpose of supervising virtuous circle, so that the overall medicine taking compliance of the patients with mental disorder is improved.
Example two
A second embodiment of the present invention provides a medication compliance monitoring device, as shown in fig. 2, including:
a first module: login authentication and face recognition
The first module is used for login authority authentication, identity authentication is required after login of an account number and a password is successful, a face acquisition frame (IOS does not need face verification) appears on the page, face comparison authentication is achieved on the server side after a frame of image is returned, and a comparison result is returned to the mobile phone side.
And a second module: patient information and medication plan
In the second module, the server end sends the time interval of the patient taking medicine in the day to the mobile phone end, the mobile phone end reads the local time to judge, if the time interval of the patient taking medicine is within the time interval of the patient taking medicine, the server end enters a face authentication page, and if the time interval of the patient taking medicine is not within the time interval of the patient taking medicine, the server end prompts that the time interval of the patient not taking medicine is not within the time interval of the patient taking medicine. After logging in once, the identity information of the patient is remembered, the medicine taking time of the patient is read from the server side, and the patient is reminded to take medicine regularly.
And a third module: drug quantity input and identification
And the third module sends the images in the palm medicine collecting frame to a medicine quantity detection module to obtain the quantity of the palm medicines, and if the detection result does not accord with the quantity input by the patient, the third module prompts re-detection until the quantity accords with the quantity. Then the mobile phone end enters a drug-containing detection page.
And a module IV: swallowing recording and recognition
In the fourth module, the page displays the picture shot by the front camera in real time, and a button starts to swallow is arranged below the page. Clicking the button records the start time of swallowing, and then waiting 5 seconds before clicking to end swallowing. The time point is recorded. And intercepting the video uploading server according to the recording time point. And deploying a swallowing recognition algorithm on the cloud server, and analyzing whether the swallowing process is real swallowing or not through the swallowing recognition algorithm based on deep learning.
And a fifth module: swallowing feedback and end of taking medicine
The medicine taking ending interface displayed by the module five can prompt the characters ' ending the medicine taking this time ' and prompt the characters ' whether the medicine taking is finished this time? ", and the buttons" yes "and" no ". The patient clicks the corresponding button, the mobile phone ends the complete medicine taking video which is being recorded, the complete medicine taking video is compressed and uploaded to the medicine taking record of the patient in the medicine taking record database, and the corresponding medicine taking completion result selected by the patient is recorded in the database.
The embodiment of the invention also provides a terminal, which comprises a processor, a memory and a communication bus;
the communication bus is used for realizing connection communication between the processor and the memory;
the processor is configured to execute one or more computer programs stored in the memory to implement the aforementioned steps of the medication compliance monitoring method.
An embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the medication compliance monitoring method are implemented.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (8)
1. A method for monitoring compliance with a drug regimen, comprising:
monitoring current time information of a terminal, and identifying the medicine taking process of a patient through a preset algorithm under the condition that the current time information is in a specified medicine taking time interval;
and recording the medicine taking process according to the identification result.
2. The medication adherence monitoring method according to claim 1, wherein in case the current time is in a specified taking time interval, the method further comprises:
authenticating the patient, recording the identity information of the patient after the authentication is successful, and acquiring the medicine information corresponding to the patient;
the drug information includes: time of taking the medication, type of medication and quantity of medication.
3. The medication adherence monitoring method according to claim 2, wherein after acquiring the medication information corresponding to the patient, the method further comprises:
and setting corresponding timing reminding according to the medicine taking time.
4. The medication adherence monitoring method according to claim 2, wherein before identifying the taking course of the patient by a preset algorithm, the method further comprises:
monitoring the medicine quantity of the current medicine;
under the condition that the quantity of the current medicines is inconsistent with the preset quantity of the medicines, prompting the patient to execute the detection of the quantity of the medicines again until the quantity of the current medicines is consistent with the preset quantity of the medicines.
5. The medication compliance monitoring method according to any one of claims 1 to 4, wherein the identification of the patient's taking course by means of a preset algorithm comprises:
monitoring video data of a medicine taking process of a patient;
identifying whether the video data contain swallowing actions through a preset deep learning algorithm;
and after determining that the video data contains the swallowing action, sending a prompt message of the end of taking medicine to the patient.
6. The medication compliance monitoring method of claim 5, wherein recording the progress of taking the medication after the patient determines that the medication is complete based on the identification comprises:
and associating and storing the video data and the corresponding time information into the medicine taking record of the patient.
7. A terminal, characterized in that the terminal comprises a processor, a memory and a communication bus;
the communication bus is used for realizing connection communication between the processor and the memory;
the processor is configured to execute one or more computer programs stored in the storage to implement the steps of the medication compliance monitoring method of any one of claims 1-6.
8. A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method for monitoring medication compliance according to any one of claims 1 to 6.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113709369A (en) * | 2021-08-26 | 2021-11-26 | 苏州景昱医疗器械有限公司 | Video tracing method for chronic disease patient and related device |
| CN115944536A (en) * | 2023-03-10 | 2023-04-11 | 武汉凝创科技有限公司 | Method and system for monitoring medicine taking behavior of mental disorder patient |
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| CN104398387A (en) * | 2014-06-23 | 2015-03-11 | 罗伯特·葛伦 | Intelligent medicine taking reminding and controlling device and method |
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Application publication date: 20210420 |