Remote monitoring system

Abstract

The invention relates to the fields of computing and medicine. A method for remotely monitoring the health status of patients includes the steps of: setting acceptable numerical and / or qualitative values with respect to physiological parameters of a patient; collecting information at predetermined intervals regarding the current functional status of a patient; transmitting the collected information about the current functional status of the patient to a computing device of the patient at predetermined intervals; transmitting the information about the functional status of the patient from the user computing device to at least one cloud server at predetermined intervals, wherein data arrive at the server in a structured form and are stored in a relational database; comparing the information arriving at the cloud server about the current functional status of the patient with the predetermined acceptable numerical and / or qualitative values of physiological parameters of the patient; generating an urgent notification in the event that the current values of the functional status of the patient do not correspond to the predetermined acceptable numerical and / or qualitative values of physiological parameters, said urgent notification being sent to the computing device of the patient and / or of a doctor and / or of a designated representative.

Description

[0001] REMOTE MONITORING SYSTEM

[0002] AREA OF TECHNOLOGY

[0003] This technical solution relates to the fields of computing and medicine, in particular to methods of remote monitoring of patients’ health.

[0004] LEVEL OF TECHNOLOGY

[0005] A solution selected as the closest analogue is known from the prior art, RU 2685681 C2, 22.04.2019. This solution relates to the field of medicine and can be used for patient monitoring. A patient monitoring system comprises: one or more sensors that sample patient data for a patient at a sampling frequency; a controller configured to receive patient data from the one or more sensors, wherein the controller is programmed to: determine the patient's condition using the patient data; determine baseline patient information indicators, including age, body surface area, day of admission to hospital, location of funding source, history of chronic diseases, history of last surgery, history of last chemotherapy, current medication prescriptions, reasons for hospitalization, last set of vital signs;determining a predisposition to the occurrence of an event of deterioration of the condition and the probability of deterioration of the condition, optimizing the sampling frequency of one or more sensors based on the probability of deterioration of the condition, automatically adjusting the sampling frequency of one or more sensors based on the determined condition of the patient, wherein each time one of the sensors is sampled, the probability of deterioration of the condition is recalculated, and based on the recalculated probability of deterioration of the condition, the sampling frequency of the sensors is adjusted.

[0006] The proposed technical solution is aimed at eliminating the shortcomings of the current state of technology and differs from known solutions in that the proposed solution allows for the effective monitoring of patients based on quantitative and qualitative indicators of health status. ESSENCE OF THE INVENTION

[0007] The technical problem that the proposed solution aims to solve is the creation of a method for remotely monitoring the health status of patients.

[0008] The technical result consists in improving the quality of monitoring the patient's health status and, as a consequence, increasing the patient's life safety, due to the timely notification of the attending physician or other responsible person about the development of clinically important events requiring unscheduled medical interventions.

[0009] The claimed technical result is achieved by implementing a method for remote monitoring of the health status of patients, which includes the following stages: setting acceptable numerical and / or qualitative values ​​of the patient's physiological parameters; collecting information on the current functional state of the patient with a specified frequency; transmitting the collected information on the current functional state of the patient to the patient's computing device with a specified frequency; transmitting information on the functional state of the patient from the user's computing device to at least one cloud server with a specified frequency, wherein the data is received by the cloud server in a structured form and stored in a relational database; comparing the information on the current functional state of the patient with predetermined acceptable numerical and / or qualitative values ​​of the patient's physiological parameters;in the event of a discrepancy between the current values ​​of the patient’s functional state and the pre-set acceptable numerical and / or qualitative values ​​of physiological parameters, an urgent notification is generated, which is sent to the computing device of the patient and / or the physician and / or the pre-determined responsible person.

[0010] In a particular embodiment of the claimed method, information about the patient's functional state is collected using devices for measuring physiological parameters.

[0011] In another particular embodiment of the claimed method, information about the functional state of the patient is collected using a tonometer and / or glucometer and / or fetal and / or ECG sensors.

[0012] In another particular embodiment of the claimed method, information on the patient's functional state is collected using indicator test strips. In another particular embodiment of the claimed method, information on the patient's functional state is collected using a spirometer.

[0013] In another particular embodiment of the claimed method, taking into account the information received on the cloud server about the current functional state of the patient, a digital indicator of the patient's physical condition is generated.

[0014] In another particular embodiment of the claimed method, the digital indicator of the patient's condition is a "heat map".

[0015] DETAILED DESCRIPTION OF THE INVENTION

[0016] The following detailed description of the invention includes numerous implementation details intended to provide a clear understanding of the present invention. However, one skilled in the art will readily appreciate how the present invention may be utilized with or without these implementation details. In other instances, well-known methods, procedures, and components have not been described in detail to avoid unnecessarily obscuring the features of the present invention.

[0017] Furthermore, it will be clear from the foregoing description that the invention is not limited to the embodiment described. Numerous possible modifications, changes, variations, and substitutions, while preserving the spirit and form of the present invention, will be apparent to those skilled in the art.

[0018] This technical solution is designed for high-quality and effective remote monitoring of patients' health. The invention relates to telemedicine and enables remote monitoring of patients' health in outpatient and home settings, and prompt response by remote medical personnel.

[0019] The technical problem solved by the claimed invention is the creation of a method for remote monitoring of the health status of a wide range of people using modern software and hardware, interconnected by wired and wireless communication channels, using medical devices: tonometers, glucometers, CTG, test strips, Holter ECG monitoring (HM ECG), spirometers and pulse oximeters, as well as non-medical devices, patient self-reports.

[0020] Using the proposed method, information about the patient's current functional state is collected on an ongoing basis at a predetermined, required frequency. Specifically, specific numerical and / or qualitative values ​​of physiological parameters are collected, taking into account the patient's nosology and individual health parameter values. The patient's nosology and individual health parameter values ​​are stored in a structured format in a relational database.

[0021] It should be noted that the collection of specific numerical and qualitative values ​​of the patient's physiological parameters allows for the most effective monitoring of the patient's health status, which, as a consequence, reduces the risk of developing pathology and increases the patient's life safety, due to the timely notification of the attending physician or other responsible person about the development of clinically important events requiring unscheduled medical interventions, as well as the provision of personalized content to patients containing educational or motivating information.

[0022] In one embodiment, the collected numerical and qualitative values ​​of the patient's physiological parameters are sent from the user's computing device to the medical information system and stored as patient parameter values ​​for a specified period of time.

[0023] In a preferred embodiment, at an automatic level, using the computing power of the server equipment, acceptable numerical and / or qualitative values ​​of physiological parameters are set, taking into account the nosology and individual values ​​of health parameters for each individual patient.

[0024] In one embodiment, the acceptable numerical and / or qualitative values ​​of physiological parameters may be established by the attending physician, taking into account the nosology and individual values ​​of the patient's health parameters.

[0025] In a preferred embodiment, normal or acceptable values ​​are specified as intervals ("value corridors"), where each value corridor corresponds to a certain number of points.

[0026] In a preferred embodiment, information about the patient's current functional state is collected at a specified frequency.

[0027] The frequency of collecting information on a patient's current functional status depends on various factors. The patient's medical condition is the primary consideration: for example, for type 1 diabetes, data may be collected 4 to 8 times per day, while for hypertension, it may be 2 to 3 times per day.

[0028] Once information about the patient's current functional state has been collected, it is transmitted to a computing device (e.g., the user's mobile phone and / or tablet, etc.) at a specified frequency. From the user's computing device, the information is transmitted to at least one cloud server. It should be noted that the data on the user's computing device is structured and then sent to the server in a structured form, where it is stored in a relational database. Data about the patient's current functional state can also be transmitted to a medical information system to enhance monitoring.

[0029] In a preferred embodiment, at least one cloud server (Debian-based OS) is used as server hardware.

[0030] The storage and processing of medical data is carried out in accordance with Russian Federation law, including Federal Law No. 152-FZ of July 27, 2006, "On Personal Data" (152-FZ), as well as other relevant laws and regulations. The storage and processing of medical data follows the orders and state standards established by the Russian Ministry of Health and other relevant authorities.

[0031] Data is processed and compared in an isolated environment within a demilitarized network segment. This provides an additional level of security and confidentiality. The medical data storage and processing system complies with the requirements and recommendations of the Federal Service for Technical and Export Control (FSTEC). This includes the use of appropriate security measures, such as data encryption, access control, and regular vulnerability testing. The solution includes regular data backups and a disaster recovery plan to enhance security.

[0032] In one implementation, information about the patient's current functional state is collected using a tonometer (e.g., AND-911-BT-C). Specific information collected includes the patient's systolic / diastolic blood pressure and pulse rate. The collected information about the patient's current functional state is transmitted from the tonometer to the user's computing device via Bluetooth.

[0033] In one implementation, information about the patient's current functional state is collected via a glucometer (e.g., Satellite Online or Contour plus ONE). The specific data collected is glucose levels. The collected information about the patient's current functional state is transmitted from the glucometer to the user's computing device via Bluetooth.

[0034] In one implementation, information about the patient's current functional state is collected using urine indicator test strips (e.g., Urinopolian-XN (Biosensor AN)). The patient's functional state is characterized by color indicators on the test strip. The user's computing device photographs the indicators. To decode the color indicators, an image of the test strip's indicators is transmitted to the server in any format supported by the OpenCV library. ArUco markers are found in the image, and the position, rotation, and tilt of the target area are determined using the IDs encoded in the markers. The image perspective is then changed to work only with the area of ​​interest, as if it were originally photographed at a 90-degree angle. Since the test cards are printed using a single template, it is possible to automatically crop out areas of interest using pre-calculated ratios:

[0035] - Middle part with a test strip;

[0036] - Left comparative squares;

[0037] - Right comparative squares.

[0038] The algorithm searches the center stripe squares until it finds exactly 11. If the number found is less, a correct result cannot be obtained. Similarly, 57 squares are required for the left comparison squares. If highlights are present on the left side, the algorithm searches the right side. If the number of squares is insufficient, a correct result is also impossible. After finding all the required coordinates, the center stripe squares are compared by color with the side squares using the CIEDE2000 algorithm. The final analysis result is obtained by comparing the center squares with the side squares.

[0039] In one implementation, information about the patient's current functional state is collected using a spirometer (e.g., Spirobank Oxi). Specific data collected includes approximately 10 spirometric test parameters, as well as oximetry test parameters (blood oxygen saturation and pulse). The collected data about the patient's current functional state is transmitted from the spirometer to the user's computing device via Bluetooth.

[0040] In one implementation, information about the patient's current functional state is collected via Holter ECG monitoring (e.g., Vitapio, with or without leads). Specific data collected includes: ECG Lead 1, ECG Lead 2, Acceleration Channel X, Acceleration Channel Y, Acceleration Channel Z, Pacemaker Channel, Event Channel, Battery Channel, Respiration Channel, and ECG Channel V5. The collected information about the patient's current functional state is transmitted from the Holter ECG monitoring device via Wi-Fi to the user's computing device.

[0041] In one implementation, information about the patient's (pregnant woman's) current functional state is collected via a fetal monitor. Specific data collected includes fetal heart rate and movement, as well as the pregnant woman's uterine tone. The collected data about the current functional state of the pregnant woman and fetus is transmitted from the fetal monitor via Bluetooth to the user's computing device.

[0042] It should be noted that information about the patient's current functional state can be additionally collected through the patient's computing device by filling out questionnaires about the physical condition.

[0043] In a preferred embodiment, structured information about the current functional state of the patient received by the server is compared on an ongoing basis with pre-set acceptable numerical and / or qualitative values ​​of the patient's physiological parameters using the computing power of the server equipment.

[0044] The attending physician and / or the physician on duty can also monitor the structured information received on the server about the patient’s current functional state from his / her computing device (e.g., a personal computer and / or tablet and / or mobile phone), since this information is available to him / her.

[0045] In one implementation, a scoring system is used for patient monitoring. Based on the received structured information about the patient's current functional state, points are assigned. Depending on how close the assigned points are to the previously mentioned value ranges, it becomes possible to accurately monitor the patient's health. If the total points are exceeded or a critical parameter is reached, the computing power of the server equipment generates an urgent notification, which is optionally sent to the patient's computing device and / or the attending physician and / or another predetermined responsible person. In one implementation, to improve the quality of monitoring, based on incoming patient health information, a digital color indicator is additionally generated with information on all patients managed by the attending physician.

[0046] In one embodiment, the digital color indicator can be implemented as a "heat map," displaying each patient's condition in different colors. Green indicates a patient's normal condition, yellow indicates a condition requiring attention, and red indicates an emergency requiring immediate intervention. The heat map is generated using incoming data on the patient's current functional state, using the computing power of the server hardware. The heat map is displayed in the user interface and / or on the physician's computing equipment.

[0047] This allows medical staff to proactively identify which patients require special attention. Doctors can also view the parameters of a specific patient and mark them as viewed. This solution further improves the information content of monitoring and increases the speed of medical staff response to emerging threats.

[0048] Below is an example where normal or acceptable values ​​are specified as intervals ("value corridors"), where each value corridor corresponds to a certain number of points, where AG is arterial hypertension; BP is blood pressure; SBP is systolic blood pressure; DBP is diastolic blood pressure.

[0049] The selection of parameters, and in some cases scores, is linked to clinical guidelines for the relevant nosology. Value ranges or possible response options are established for each parameter. For example, for chronic viral hepatitis C (CHVC), the parameter "weakness" has the following response options: "Yes" (3 points) and "No" (0 points). For pulse rate, the following value ranges are established, and points are awarded when the score falls within these ranges:

[0050] 0 - 55 beats per minute (3 points)

[0051] 56 - 80 beats per minute (0 points)

[0052] 81-119 beats per minute (2 points)

[0053] >120 beats per minute (3 points)

[0054] The computing system then tracks each patient's health parameters, obtained from devices and / or questionnaires, and assigns them points depending on which range of values ​​they fall within.

[0055] If the total points are exceeded or a critical parameter is present (for example, a parameter for which 3 points are awarded), the doctor will receive a notification on his computing device, and a red signal will also be displayed on the “heat map”, as a result of which he can promptly take the necessary measures.

[0056] At the technical level, a heat map is generated by server equipment by comparing the values ​​of patient health parameters obtained from devices and / or questionnaires with pre-set intervals or "value corridors," each of which corresponds to a certain number of points.

[0057] Thus, the proposed solution can collect data not only from sensors (devices) but also from patient questionnaires. For example, the presence of "Headache," "Rash," "Dark Urine," and other indicators can be additionally recorded. This allows for the collection of a comprehensive data set (both quantitative and qualitative) and enables more effective monitoring of patients' health.

[0058] An additional advantage of this technology is that it records deviations from the specified threshold based on the specific nosology. In some cases, for example, "Dark urine" indicates a condition requiring medical intervention, while in others it does not. The same applies to quantitative parameters, such as blood pressure or pulse rate.

[0059] A computing system capable of processing the data necessary to implement the proposed solution generally comprises the following components: one or more processors, at least one memory, data storage, input / output interfaces, input means, and networking capabilities. When executing machine-readable commands contained in RAM, the device's processor is configured to perform the basic computing operations necessary for the operation of the device or the functionality of one or more of its components. The memory is typically implemented as RAM, which is loaded with the necessary program logic to provide the required functionality. When implementing the proposed solution, the memory capacity required for its implementation is allocated. The data storage medium may be implemented as an HDD, SSD, RAID array, network storage, flash memory, etc.The tool enables long-term storage of various types of information, such as the aforementioned files with user / passenger data sets, databases containing records of time intervals measured for each user, user identifiers, etc. The interfaces are standard means for connecting and operating peripherals and other devices, such as USB, RS232, RJ45, COM, HDMI, PS / 2, Lightning, etc. The choice of interfaces depends on the specific design of the device, which may be a personal computer, mainframe, server cluster, thin client, smartphone, laptop, etc. A keyboard can be used as a data input device in any embodiment of the system implementing the described method.The keyboard hardware can be any of a variety of devices: it could be a built-in keyboard used on a laptop or netbook, or a separate device connected to a desktop computer, server, or other computing device. The connection can be either wired, with the keyboard cable connected to a PS / 2 or USB port on the desktop computer's system unit, or wireless, with the keyboard exchanging data wirelessly, such as via radio, with a base station, which is directly connected to the system unit, such as a USB port. In addition to the keyboard, other input devices may include a joystick, display (touchscreen), projector, touchpad, mouse, trackball, stylus, speakers, microphone, and so on.Networking tools are selected from a device that provides network data reception and transmission, such as an Ethernet card, WLAN / Wi-Fi module, Bluetooth module, BLE module, NFC module, IrDA, RFID module, GSM modem, etc. These tools facilitate data exchange via a wired or wireless data transmission channel, such as a WAN, PAN, LAN, Intranet, Internet, WLAN, WMAN, or GSM. The device components are connected via a common data transmission bus.

[0060] In these application materials, a preferred disclosure of the implementation of the claimed technical solution has been presented, which should not be used as limiting other, particular embodiments of its implementation that do not go beyond the scope of the requested scope of legal protection and are obvious to specialists in the relevant field of technology.

Claims

Formula 1. A method for remote monitoring of a patient's health, comprising the following steps: setting acceptable numerical and / or qualitative values ​​of the patient's physiological parameters; collecting information on the patient's current functional state at a given frequency; transmitting the collected information on the patient's current functional state to the patient's computing device at a given frequency; transmitting information on the patient's functional state from the user's computing device to at least one cloud server at a given frequency, wherein the data is received by the cloud server in a structured form and stored in a relational database; comparing the information on the patient's current functional state received by the server with predetermined acceptable numerical and / or qualitative values ​​of the patient's physiological parameters;in the event of a discrepancy between the current values ​​of the patient’s functional state and the pre-set acceptable numerical and / or qualitative values ​​of physiological parameters, an urgent notification is generated, which is sent to the computing device of the patient and / or the physician and / or the pre-determined responsible person.

2. The method according to paragraph 1, in which information about the functional state of the patient is collected using devices for measuring human physiological indicators.

3. The method according to claim 1, wherein information about the functional state of the patient is collected using a tonometer and / or a glucometer and / or a fetal monitor and / or ECG sensors.

4. The method according to claim 1, wherein information about the functional state of the patient is collected using indicator test strips.

5. The method according to claim 1, wherein information about the functional state of the patient is collected using a spirometer.

6. The method according to paragraph 1, characterized in that, taking into account the information received on the cloud server about the current functional state of the patient, a digital indicator of the physical state of the patient is generated. 7 The method according to claim 6, wherein the digital indicator of the patient's condition is a "heat map".

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