Soldier chronic disease outpatient internet of things intelligent monitoring and medicine reminding system

Abstract

This invention discloses an IoT-based intelligent monitoring and medication reminder system for military personnel with chronic diseases, relating to IoT medical technology and military medical and health technology. It includes a terminal monitoring module, an intelligent medication reminder module, a cloud data processing platform, and a medical collaboration module. The terminal monitoring module collects physiological indicator data and medication-related status data from military patients with chronic diseases. The intelligent medication reminder module, through scene recognition and dynamic adjustment mechanisms, perfectly adapts to military training tasks. Relying on motion sensors to identify training scenarios, it automatically switches to a low-interference reminder mode of vibration + text, avoiding auditory warnings from interfering with training. Simultaneously, it dynamically adjusts the priority of medication reminders according to training intensity, delaying reminders for non-urgent medications until training breaks to ensure no reminders are missed or disruptive. Combined with a three-level early warning mechanism, it improves medication adherence and solves the problems of traditional reminder methods being singular and easily interfered with during training.

Description

Technical Field

[0001] This invention relates to the fields of Internet of Things (IoT) medical technology and military medical and health technology, specifically to an IoT-based intelligent monitoring and medication reminder system for military personnel's chronic disease outpatient clinics. Background Technology

[0002] As a special occupational group, military personnel face long-term challenges such as high-intensity training, irregular work and rest schedules, and harsh environments, leading to a year-on-year increase in the incidence of chronic diseases such as hypertension, diabetes, and chronic gastrointestinal diseases. Compared with the general public, military personnel face the following unique needs and pain points in chronic disease management: First, their heavy and highly mobile training missions make real-time monitoring difficult during routine outpatient follow-ups, and changes in their condition cannot be detected in a timely manner; second, military personnel are often in special environments such as field training and long-distance voyages, making medication time easily disrupted by missions, resulting in frequent missed or incorrect doses and difficulty in ensuring medication adherence; third, there is insufficient coordination between military and civilian medical resources, grassroots medical personnel lack professional chronic disease management capabilities, and outpatient doctors cannot keep track of patients' condition dynamics during training, leading to untimely adjustments to treatment plans; fourth, military personnel's health data involves military privacy, and ordinary medical monitoring systems cannot meet data security and confidentiality requirements.

[0003] The system's medication reminder times and priorities are fixed and not linked to military training schedules. When medication time coincides with high-intensity training periods, forcibly interrupting training to administer medication will affect the training rhythm and mission progress; ignoring reminders will reduce medication adherence, which is detrimental to the control of chronic diseases, creating a conflict between "training missions" and "medication management". Summary of the Invention

[0004] The purpose of this invention is to provide an IoT-based intelligent monitoring and medication reminder system for chronic disease outpatient clinics for military personnel, in order to solve the problems mentioned in the background art.

[0005] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is as follows: A smart IoT monitoring and medication reminder system for military personnel with chronic diseases includes a terminal monitoring module, a smart medication reminder module, a cloud data processing platform, and a medical collaboration module. The terminal monitoring module is used to collect physiological indicator data and medication-related status data of military personnel with chronic diseases. The physiological indicator data includes at least two of blood pressure, blood glucose, heart rate, blood oxygen saturation, and body temperature. The medication-related status data includes medication time, medication dosage, and remaining medication. The intelligent medication reminder module is connected to the terminal monitoring module and is used to receive the medication plan set by the user and the adjustment instructions issued by the cloud data processing platform, generate personalized medication reminder information, and push it to the patient through multiple channels, while recording medication feedback data. The cloud-based data processing platform is connected to the terminal monitoring module, the intelligent medication reminder module, and the medical collaboration module. It is used to receive and store the physiological indicator data, medication-related status data, and medication feedback data, clean, analyze, and identify anomalies in the data, generate health assessment reports and medication adjustment suggestions, and has military-grade data encryption and access control functions. The medical collaboration module enables information sharing and collaborative interaction among outpatient doctors, specialists, primary healthcare workers, and guardians of military dependents, supporting online consultations, prescription adjustments, and disease tracking.

[0006] A further improvement of the technical solution of the present invention is that: the terminal monitoring module includes a wearable monitoring unit and a home-based fixed monitoring unit; the wearable monitoring unit adopts low-power Bluetooth + Beidou dual-mode communication to support real-time data transmission in the field environment; the home-based fixed monitoring unit is wiredly connected to the intelligent medication reminder module to realize the linkage collection of medication status and physiological data.

[0007] A further improvement to the technical solution of the present invention is that the intelligent medication reminder module includes: The medication plan storage unit is used to store personalized medication plans prescribed by doctors, including medication time, dosage, interval, and contraindications. The dynamic reminder unit adjusts the reminder priority based on the patient's daily training task intensity and abnormal physiological indicators. It adopts a multi-mode reminder with sound, vibration, and light three-color warnings, and automatically switches to vibration + text reminder mode during training. The medication confirmation unit verifies medication behavior through both fingerprint recognition and medication retrieval sensing. If medication is not taken on time, warning information is sent to the patient, primary care worker, and outpatient doctor at each level. The medication monitoring unit monitors the remaining medication in real time. When the amount falls below a threshold, it automatically sends a medication purchase reminder to the patient and their family and synchronizes it with the outpatient pharmacy inventory management system.

[0008] A further improvement to the technical solution of the present invention is that the cloud data processing platform includes: The data receiving and encryption unit uses the SM4 symmetric encryption algorithm to encrypt the transmitted data, which is transmitted through a military-dedicated network channel and can only be accessed by authorized medical personnel and the patient. The data processing unit uses machine learning algorithms to build a chronic disease condition prediction model, predicts the disease development trend based on historical physiological data and medication adherence data, and identifies abnormal data and marks the risk level. The report generation unit automatically generates weekly / monthly / quarterly health assessment reports, including physiological indicator change curves, medication adherence statistics, disease control effectiveness assessments, and personalized rehabilitation suggestions. The medication adjustment unit sends intervention reminders to outpatient doctors when it detects persistently abnormal physiological indicators or low medication adherence, enabling doctors to adjust medication plans online and synchronize the changes to the smart medication reminder module.

[0009] A further improvement to the technical solution of the present invention is that the medical collaboration module includes: The role-based access control unit assigns different data access permissions and operation permissions to outpatient doctors, specialists, primary healthcare workers, and guardians of military dependents. The online interactive unit supports text, voice, and video consultations, allowing doctors to view patients' physiological data and medication records in real time, and to issue electronic prescriptions or adjust treatment plans. The task linkage unit connects with the military training management system to obtain the patient's daily training task schedule, providing data support for adjusting medication reminder strategies and health assessments. When the emergency response unit detects critical physiological indicators, it automatically triggers the emergency response process, synchronizes the patient's location information and condition data to the nearest military hospital's emergency department, and activates the green treatment channel.

[0010] A further improvement of the technical solution of the present invention is that it also includes a backup power module. The backup power module adopts a solar charging + lithium battery energy storage design, which supports continuous power supply for 72 hours in environments without mains power, such as field training, to ensure the normal operation of the core functions of the system. The intelligent medication reminder module is also equipped with an anti-misuse protection unit. It issues an audible and visual warning and locks the medication compartment by judging the weight of the medicine and the time interval between medications, and sends an accidental ingestion warning to the grassroots health workers at the same time.

[0011] A further improvement of the technical solution of the present invention is that the wearable monitoring unit integrates a motion state sensor, which can identify different training scenarios such as running, weight training, and wading, and synchronize the scenario data to the cloud data processing platform to correct the abnormal judgment threshold of physiological indicators. The normal threshold range of blood pressure and heart rate in the training state is expanded by 15%-20% compared with the resting state, avoiding false judgments and warnings.

[0012] A further improvement of the technical solution of the present invention is that the machine learning algorithm adopts a hybrid model of random forest + LSTM, wherein the random forest algorithm is used to screen key features that affect the development of the disease, and the LSTM algorithm is used for trend prediction of time-series physiological data, with a prediction accuracy of not less than 85%; the risk level is divided into three levels: mild, moderate and severe, corresponding to different intervention response speeds, and severe risk is synchronized to the emergency department within 10 minutes.

[0013] A further improvement of the technical solution of the present invention is that the intelligent medication reminder module is also equipped with a medication scenario adaptation unit, which can automatically adjust the reminder volume and vibration intensity according to the patient's environment: medium volume + weak vibration in indoor environment, strong vibration + bright light in outdoor environment, and waterproof touch feedback + low frequency vibration in long-distance voyage ship environment, so as to avoid environmental interference causing the reminder to fail.

[0014] A further improvement of the technical solution of the present invention is that the medical collaboration module is also connected to the military logistics support system. When a patient needs to seek medical treatment or be transferred to another location, the health record, medication record and condition assessment report are automatically synchronized to the target medical institution to realize cross-regional medical data exchange within the military. At the same time, it supports the connection of military and civilian medical insurance data. When purchasing medicines at the outpatient clinic, the medical insurance qualification is automatically verified and the payment is completed, which improves the convenience of medical treatment.

[0015] Due to the adoption of the above technical solution, the technical progress achieved by this invention compared to the prior art is as follows: 1. This invention provides an IoT-based intelligent monitoring and medication reminder system for military personnel's chronic disease outpatient clinics. Through an intelligent medication reminder module, it perfectly adapts to military training tasks via scene recognition and dynamic adjustment mechanisms. Relying on motion sensors to identify training scenarios, it automatically switches to a low-interference reminder mode of vibration + text, avoiding auditory alerts from interfering with training. Simultaneously, it dynamically adjusts the priority of medication reminders based on training intensity, delaying reminders for non-emergency medications until training breaks to ensure no reminders are missed or disruptive. Combined with a three-level early warning mechanism, it improves medication adherence and solves the problems of traditional reminder methods being singular and easily interfered with by training.

[0016] 2. This invention provides a smart IoT monitoring and medication reminder system for military personnel's chronic disease outpatient clinics. By connecting with the military training management system, it enables the linkage between health management and training tasks. At the same time, it supports cross-regional medical data exchange within the military and connection between military and civilian medical insurance. When soldiers seek medical treatment in other places, they can quickly retrieve complete health records without having to create records repeatedly, which greatly improves the efficiency of diagnosis and treatment. It builds a collaborative management mechanism that covers the entire process and leaves no blind spots, and solves the problem of poor information flow between military and civilian medical resources.

[0017] 3. This invention provides a smart IoT monitoring and medication reminder system for military personnel's chronic disease outpatient clinics. Data is transmitted through a dedicated military network channel, and the storage adopts a distributed encryption design. It is equipped with strict role-based access control, assigning differentiated access permissions to different users. Only authorized personnel can access the data through identity verification, effectively preventing the risk of data leakage and tampering. For sensitive military personnel information, a special privacy protection mechanism is set up to ensure the security of health data and military information, fully meeting military-grade data security requirements and solving the shortcomings of low security levels in traditional systems. Attached Figure Description

[0018] Figure 1 This is a system flowchart of the present invention; Figure 2 This is a flowchart of the terminal monitoring module of the present invention; Figure 3 This is a flowchart of the intelligent medication reminder module of the present invention; Figure 4 This is a flowchart of the cloud data processing platform of the present invention; Figure 5 This is a flowchart of the medical collaboration module of the present invention. Detailed Implementation

[0019] The present invention will be further described in detail below with reference to embodiments: like Figure 1-5 As shown, the present invention has the following two specific embodiments.

[0020] Example 1

[0021] Hypertension management scenario for soldiers stationed on the high-altitude border Equipment deployment: Wearable monitoring devices and smart medication monitoring terminals that can withstand harsh environments are provided to soldiers stationed on the plateau border. The devices are bound to the soldiers' support cards in advance. Data collection: The wearable device collects blood pressure and blood oxygen saturation data every 5 seconds, and heart rate and altitude data every 30 seconds. The smart pillbox records the dosage of antihypertensive medication twice a day. Data transmission: Data is transmitted via the military network link on a daily basis. When soldiers patrol to areas without military network signal, the system automatically switches to the Beidou short message link to ensure continuous data upload. AI analysis: The platform layer combines high-altitude environment thresholds, normal blood oxygen saturation threshold ≥90%, and normal blood pressure threshold ≤150 / 95 mmHg with individual soldier baseline data to identify abnormal indicators. Functional output: For military personnel: If medication is not taken on time, the smart pillbox will vibrate and a pop-up window will appear in the app, displaying "Current altitude 4500m, you need to take your blood pressure medication on time to avoid altitude sickness and increased blood pressure"; Medical staff: Receive abnormal alerts and display "Soldier's name, current location, blood pressure 155 / 100mmHg, blood oxygen 92%, did not take today's morning antihypertensive medication". Medical staff will push medication reminder messages through the APP and assess whether the medication dosage needs to be adjusted. Collaborative diagnosis and treatment: If blood pressure continues to rise, the system automatically pushes the data to cardiovascular experts in the affiliated hospitals. After online consultation, the experts will push adjustment plans, which will be implemented by the primary healthcare units and feedback will be provided on the results.

[0022] Example 2

[0023] Example 2: Diabetes Management Scenario for Military Personnel on Maritime Duty Equipment deployment: Waterproof wearable monitoring devices and smart pillboxes are provided to military personnel on duty at sea. The wearable devices integrate blood glucose sensors. Data collection: Wearable devices collect blood glucose data every 30 minutes, motion sensors identify the intensity of duty training, and smart pillboxes record insulin injection time and dosage; Data transmission: Real-time blood glucose data is transmitted via a 5G private network link. When the ship enters an area in the open sea where there is no 5G signal, it switches to the BeiDou short message link to transmit critical abnormal data. AI analysis: The platform layer combines factors such as high-salt diet at sea and turbulent environment to predict the risk of blood sugar fluctuations. When blood sugar is <3.9mmol / L or >16.7mmol / L, it is judged as an emergency abnormality. Functional output: For military personnel: In case of emergency, the wearable device will issue an audible and visual alarm, and the APP will pop up a reminder that "blood sugar is too low, please replenish sugar immediately, and has been synchronized with medical staff"; On the medical side: After receiving the early warning, the medical staff of the grassroots health unit guided the soldiers to handle the emergency through video link, and at the same time contacted the endocrinology experts of the system hospitals to formulate subsequent dietary and medication adjustment plans; Closed-loop management: The system records the trend of blood glucose changes after emergency treatment, the AI ​​model optimizes the subsequent early warning threshold, and medical staff update the follow-up plan according to the recovery status.

[0024] The present invention has been described in detail above. However, modifications or improvements can be made to it, which will be obvious to those skilled in the art. Therefore, any modifications or improvements that do not depart from the spirit of the present invention are within the scope of protection of the present invention.

Claims

1. A smart IoT monitoring and medication reminder system for military personnel's chronic disease outpatient clinics, comprising a terminal monitoring module, a smart medication reminder module, a cloud data processing platform, and a medical collaboration module, characterized in that: It includes a terminal monitoring module for collecting physiological indicator data and medication-related status data of military patients with chronic diseases. The physiological indicator data includes at least two of blood pressure, blood sugar, heart rate, blood oxygen saturation, and body temperature. The medication-related status data includes medication time, medication dosage, and remaining medication. The intelligent medication reminder module is connected to the terminal monitoring module and is used to receive the medication plan set by the user and the adjustment instructions issued by the cloud data processing platform, generate personalized medication reminder information, and push it to the patient through multiple channels, while recording medication feedback data. The cloud-based data processing platform is connected to the terminal monitoring module, the intelligent medication reminder module, and the medical collaboration module. It is used to receive and store the physiological indicator data, medication-related status data, and medication feedback data, clean, analyze, and identify anomalies in the data, generate health assessment reports and medication adjustment suggestions, and has military-grade data encryption and access control functions. The medical collaboration module enables information sharing and collaborative interaction among outpatient doctors, specialists, primary healthcare workers, and guardians of military dependents, supporting online consultations, prescription adjustments, and disease tracking.

2. The IoT-based intelligent monitoring and medication reminder system for military personnel's chronic disease outpatient clinics according to claim 1, characterized in that: The terminal monitoring module includes a wearable monitoring unit and a home-based fixed monitoring unit. The wearable monitoring unit adopts low-power Bluetooth + Beidou dual-mode communication to support real-time data transmission in the field. The home-based fixed monitoring unit is wired to the smart medication reminder module to realize the linkage collection of medication status and physiological data.

3. The IoT-based intelligent monitoring and medication reminder system for military personnel's chronic disease outpatient clinics according to claim 1, characterized in that: The intelligent medication reminder module includes: The medication plan storage unit is used to store personalized medication plans prescribed by doctors, including medication time, dosage, interval, and contraindications. The dynamic reminder unit adjusts the reminder priority based on the patient's daily training task intensity and abnormal physiological indicators. It adopts a multi-mode reminder with sound, vibration, and light three-color warnings, and automatically switches to vibration + text reminder mode during training. The medication confirmation unit verifies medication behavior through both fingerprint recognition and medication retrieval sensing. If medication is not taken on time, warning information is sent to the patient, primary care worker, and outpatient doctor at each level. The medication monitoring unit monitors the remaining medication in real time. When the amount falls below a threshold, it automatically sends a medication purchase reminder to the patient and their family and synchronizes it with the outpatient pharmacy inventory management system.

4. The intelligent monitoring and medication reminder system for military personnel's chronic disease outpatient clinics according to claim 1, characterized in that: The cloud-based data processing platform includes: The data receiving and encryption unit uses the SM4 symmetric encryption algorithm to encrypt the transmitted data, which is transmitted through a military-dedicated network channel and can only be accessed by authorized medical personnel and the patient. The data processing unit uses machine learning algorithms to build a chronic disease condition prediction model, predicts the disease development trend based on historical physiological data and medication adherence data, and identifies abnormal data and marks the risk level. The report generation unit automatically generates weekly / monthly / quarterly health assessment reports, including physiological indicator change curves, medication adherence statistics, disease control effectiveness assessments, and personalized rehabilitation suggestions. The medication adjustment unit sends intervention reminders to outpatient doctors when it detects persistently abnormal physiological indicators or low medication adherence, enabling doctors to adjust medication plans online and synchronize the changes to the smart medication reminder module.

5. The IoT-based intelligent monitoring and medication reminder system for military personnel's chronic disease outpatient clinics according to claim 1, characterized in that: The medical collaboration module includes: The role-based access control unit assigns different data access permissions and operation permissions to outpatient doctors, specialists, primary healthcare workers, and guardians of military dependents. The online interactive unit supports text, voice, and video consultations, allowing doctors to view patients' physiological data and medication records in real time, and to issue electronic prescriptions or adjust treatment plans. The task linkage unit connects with the military training management system to obtain the patient's daily training task schedule, providing data support for adjusting medication reminder strategies and health assessments. When the emergency response unit detects critical physiological indicators, it automatically triggers the emergency response process, synchronizes the patient's location information and condition data to the nearest military hospital's emergency department, and activates the green treatment channel.

6. The IoT-based intelligent monitoring and medication reminder system for military personnel's chronic disease outpatient clinics according to claim 1, characterized in that: It also includes a backup power module, which adopts a solar charging + lithium battery energy storage design to support continuous power supply for 72 hours in environments without mains power, such as field training, to ensure the normal operation of the system's core functions. The intelligent medication reminder module is also equipped with an anti-misuse protection unit, which issues an audible and visual warning and locks the medication compartment by judging the weight of the medicine and the time interval between medications, and at the same time sends an accidental ingestion warning to the grassroots health workers.

7. The IoT-based intelligent monitoring and medication reminder system for military personnel's chronic disease outpatient clinics according to claim 2, characterized in that: The wearable monitoring unit integrates motion state sensors, which can identify different training scenarios such as running, weight training, and wading. The scenario data is synchronized to the cloud data processing platform to correct the threshold for abnormal physiological indicators. The normal threshold range of blood pressure and heart rate during training is expanded by 15%-20% compared to the resting state, avoiding false alarms.

8. The IoT-based intelligent monitoring and medication reminder system for military personnel's chronic disease outpatient clinics according to claim 4, characterized in that: The machine learning algorithm adopts a hybrid model of random forest and LSTM. The random forest algorithm is used to screen key features that affect the development of the disease, and the LSTM algorithm is used for trend prediction of time-series physiological data, with a prediction accuracy of no less than 85%. The risk level is divided into three levels: mild, moderate and severe, corresponding to different intervention response speeds. Severe risk is synchronized to the emergency department within 10 minutes.

9. The IoT-based intelligent monitoring and medication reminder system for military personnel's chronic disease outpatient clinics according to claim 3, characterized in that: The intelligent medication reminder module is also equipped with a medication scenario adaptation unit, which can automatically adjust the reminder volume and vibration intensity according to the patient's environment: medium volume + weak vibration in indoor environment, strong vibration + bright light in outdoor environment, and waterproof touch feedback + low frequency vibration in the environment of a ship at sea, so as to avoid environmental interference causing the reminder to fail.

10. The IoT-based intelligent monitoring and medication reminder system for military personnel's chronic disease outpatient clinics according to claim 5, characterized in that: The medical collaboration module also interfaces with the military logistics support system. When patients need to seek medical treatment or be transferred to other locations, the system automatically synchronizes health records, medication records, and disease assessment reports to the target medical institution, enabling cross-regional medical data exchange within the military. It also supports the integration of military and civilian medical insurance data, automatically verifying medical insurance eligibility and completing payment settlement when purchasing medicines at outpatient clinics, thus improving the convenience of medical treatment.

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