An intelligent management system based on medical and preventive integration

Abstract

The present invention discloses an intelligent management system based on the integration of medical treatment and prevention, comprising a monitoring module, an analysis module, and a feedback module. The monitoring module is used to monitor the user's lifestyle, the analysis module is used to analyze the user's health status, and the feedback module is used to send the user's lifestyle to a community hospital to obtain feedback from a doctor. The analysis module comprises a dietary health analysis module, a drug intake rationality analysis module, and a psychological state analysis module. The dietary health analysis module is electrically connected to the drug intake rationality analysis module, and the drug intake rationality analysis module is electrically connected to the psychological state analysis module. The dietary health analysis module is used to analyze the user's dietary health, the drug intake rationality analysis module is used to analyze the rationality of the user's daily drug intake, and the psychological state analysis module is used to analyze the user's psychological health status. The present invention has the characteristics of high efficiency and greater intelligence.

Description

Technical Field

[0001] The present invention relates to the technical field of medical and preventive health management, and in particular to an intelligent management system based on the integration of medical and preventive care. Background Art

[0002] Chronic diseases, also known as chronic non-communicable diseases, are a general term for diseases with insidious onset, long course, prolonged illness, lack of definite evidence of infectious biological etiology, complex etiology, and some diseases that have not yet been fully confirmed. Common chronic diseases include cardiovascular disease, cerebrovascular disease, diabetes, hypertension, hyperlipidemia, chronic respiratory diseases, malignant tumors, etc. "Integration of medicine and health" is not only a new model for chronic disease prevention and control, but also a new requirement for community health work. In 2018, this concept was mentioned in several documents issued by the National Health Commission, and new specific requirements were put forward for primary medical services.

[0003] There are many causes of chronic diseases, among which unhealthy lifestyles account for a large proportion. Most people, especially older people, cannot maintain a healthy lifestyle well. As the aging phenomenon in my country becomes more and more serious, more and more elderly people suffer from chronic diseases due to unhealthy lifestyles, which affects their normal life. In addition, doctors' cognition of patients' lifestyles is only through patients' oral descriptions, which is difficult to accurately grasp, affecting the formulation of treatment plans and medication specifications. At present, the treatment of patients with chronic diseases still remains in the stage where doctors decide on treatment methods through patients' oral descriptions or clinical diagnosis, resulting in low treatment efficiency and inaccuracy. At the same time, patients lack effective management of medication after leaving the hospital, and often take medicine indiscriminately, have poor compliance, and lack of understanding of adverse reactions. For some elderly people, suffering from chronic diseases will also cause psychological pressure, and they are unwilling to admit it during consultation due to face, which affects doctors' decision-making. Therefore, it is necessary to design an efficient and smarter intelligent management system based on medical and preventive integration. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent management system based on the integration of medical treatment and prevention to solve the problems raised in the above-mentioned background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: an intelligent management system based on medical and preventive integration, comprising a monitoring module, an analysis module, and a feedback module, characterized in that: the monitoring module is electrically connected to the analysis module, the analysis module is electrically connected to the feedback module, the monitoring module is used to monitor the user's lifestyle, the analysis module is used to analyze the user's health status, and the feedback module is used to send the user's lifestyle to the community hospital to obtain feedback from the doctor. The analysis module comprises a diet health analysis module, a drug intake rationality analysis module, and a psychological state analysis module. The diet health analysis module is electrically connected to the drug intake rationality analysis module, the drug intake rationality analysis module is electrically connected to the psychological state analysis module, the diet health analysis module is used to analyze the user's health process in diet, the drug intake rationality analysis module is used to analyze the rationality of the user's daily drug intake, and the psychological state analysis module is used to analyze the user's mental health status, strengthen the chronic disease service function of family doctors, improve the chronic disease health service collaboration mechanism, strengthen the daily medication guarantee for chronic disease patients, and promote the standardized management of chronic diseases and the construction of follow-up information systems.

[0006] According to the above technical solution, the monitoring module includes a diet monitoring module, a drug dosage monitoring module, and a psychological state monitoring module. The diet monitoring module is electrically connected to the drug dosage monitoring module, and the drug dosage monitoring module is electrically connected to the psychological state monitoring module. The diet monitoring module is used to monitor the user's eating habits and food intake. The drug dosage monitoring module is used to monitor the user's medication dosage. The psychological state monitoring module is used to monitor whether the user has abnormal conditions. The diet monitoring module includes a camera module, a weighing module, a contour fitting module, and a time recording module. The camera module is electrically connected to the weighing module, and the contour fitting module is electrically connected to the time recording module. The camera module is used to collect food information, the weighing module is used to weigh food, and the contour fitting module is used to The device is used to fit the outline of food, the time recording module is used to record the time period of the user's food intake, the drug dosage monitoring module includes a code scanning unit and a recording module, the code scanning unit is used to identify the type of drug, the recording module is used to record the user's drug dosage, the mental state monitoring module includes an expression recognition module, an activity judgment module, a sleep monitoring module, and an expression analysis module, the expression recognition module is electrically connected to the expression analysis module, the expression recognition module is used to recognize and collect the user's facial video, the activity judgment module is used to judge the user's activity, the sleep monitoring module is used to detect the user's sleep quality, and the expression analysis module is used to analyze the user's psychological state according to the facial condition, so as to improve the prevention and control efficiency of chronic diseases and provide users with convenient and high-quality medical care and medical insurance.

[0007] According to the above technical solution, the feedback module includes an upload module and a doctor's advice receipt module. The upload module is electrically connected to the doctor's advice receipt module. The upload module is used to upload the monitoring results to the community hospital, and the doctor's advice receipt module is used for doctors to provide advice remotely.

[0008] According to the above technical solution, the operation method of the intelligent management system based on medical and preventive integration includes the following steps:

[0009] Step S1: The intelligent management system is placed in the user's life scene, and the monitoring module therein monitors the user's lifestyle;

[0010] Step S2: The analysis module can preliminarily judge the user's health status based on the monitoring results of the monitoring module and send a reminder to the user;

[0011] Step S3: The feedback module uploads the monitored data to the database of the hospital in the jurisdiction through the upload module for archiving. When the doctor consults the user, the archived data can be used as a reference;

[0012] Step S4: Doctors in community hospitals sign contracts with users. Users can seek help online through the mini program. Doctors develop scientific and effective treatment methods based on archived data and monitoring results, effectively improving chronic disease patients' sense of access to primary care services.

[0013] According to the above technical solution, step S1 further includes the following steps:

[0014] Step S11: The diet monitoring module is placed in front of the dining table to monitor the user's food and analyze the user's diet health according to the diet health analysis module. The user's dining behavior is completed in front of the dining table;

[0015] Step S12: The drug dosage monitoring module is placed in the medicine box to monitor the user's daily medication situation, and the rationality of the drug dosage is analyzed through the drug intake rationality analysis module. The consumed drug dosage will be presented in the form of weight;

[0016] Step S13: The psychological state monitoring module monitors the psychological state of the user based on camera modules distributed in multiple locations.

[0017] According to the above technical solution, the step S11 further includes the following steps:

[0018] Step S111: before the user eats, the food is placed in a separate meal tray. There is a weighing module under the meal tray, which displays the weight of the food in the meal tray in real time. The camera on the diet monitoring module starts working.

[0019] Step S112: The camera collects the food on the plate, and uses AI recognition technology to identify the type of food, and accurately identifies and records the nutritional components of the user's meal;

[0020] Step S113: After identifying the types of food, the contours of each food are fitted according to the contour fitting module, and the weight proportion q of each food is calculated according to the contour area Si of each food. The calculation formula of the weight proportion q of each food is:

[0021]

[0022] Among them, n is the number of food types recognized by the camera module in the plate. After calculating the weight proportion of various foods, the user's dietary health is judged based on the content of different food ingredients and the type of chronic diseases the user has, reducing the deterioration of the patient's condition caused by unhealthy diet and providing a basis for diagnosis for doctors.

[0023] Step S114: The time recording module records the user's meal time t, compares it with the ingredient content table of various foods, determines the content of various ingredients in the user's food intake, and uploads it to the community hospital database.

[0024] According to the above technical solution, the step S12 further includes the following steps:

[0025] Step S121: The code scanning unit is placed at the opening of the medicine box, and the type of medicine can be identified according to the identification code on the medicine packaging. When the user takes out the medicine he needs to take, he scans the code at the code scanning unit at the opening of the medicine box, and then puts the medicine back;

[0026] Step S122: The recording module records the weight of the medicine box in real time. Each time a medicine is taken out, the corresponding weight change value H of the medicine box and the type of medicine will be recorded, and the dosage Y of the type of medicine will be calculated based on the weight change value of the medicine box and the weight h of a single medicine. And compare it with the optimal dosage v recommended by the doctor to judge the rationality of the user's drug intake L. The calculation formula for the rationality of the user's drug intake L is:

[0027]

[0028] Among them, k is the conversion coefficient. The larger L is, the more reasonable the drug intake is. When Y=v, the drug intake is the most reasonable, and the patient's medication situation is monitored to avoid the problem of inaccurate medication by the patient;

[0029] Step S123: After the recording module records the types and dosages of various drugs taken by the user in a day, the recorded data is uploaded to the community hospital database for doctors to make reference for diagnosis.

[0030] According to the above technical solution, step S13 further includes the following steps:

[0031] Step S131: the expression recognition module locks the user's face, collects the user's face video, and analyzes the user's expression;

[0032] Step S132: The activity determination module monitors the user's activities during non-sleep time and records the activity time t0 and the sleep time t i , and analyze its activity G;

[0033] Step S133: The sleep monitoring module determines the sleep quality of the user according to the user's sleep state.

[0034] According to the above technical solution, in step S132, the calculation formula of the user's activity G is:

[0035]

[0036] Among them, t i is the user's sleep time, in hours, t0 is the user's active time during non-sleep time, in hours, and μ is the conversion coefficient.

[0037] According to the above technical solution, the step S131 further includes the following steps:

[0038] Step S1311: When the user is not in a sleeping state, the camera module detects the user, the camera frame locks the user and follows the user, and after the camera frame stops moving, the expression recognition module starts working, and can lock the user's face when the user is not moving, and collect facial video information, and at the same time record the time T that the user is in a stationary state;

[0039] Step S1312: After the facial video is collected, the expression analysis module starts to analyze the facial expression of the user in the video, and uses AI technology to analyze whether the user's eyebrows are wrinkled in the video. The presence of wrinkles indicates that the user is frowning, and the time T0 of the user's frown is recorded. The elderly often have psychological conditions after suffering from chronic diseases, and the corresponding reaction is long-term stillness accompanied by frowning. The longer the frowning time, the more lost it is;

[0040] Step S1313: judging the psychological state of the user according to the percentage of time η that the user frowns. If the user is in a non-exercise state for a long time and frowns, it means that the user is in a bad mood. The calculation formula of the percentage of time η that the user frowns is:

[0041]

[0042] Among them, λ is the conversion coefficient. The longer the user's frowning time is, the more likely it is that his mental state is poor, and psychological assistance treatment is needed at this time.

[0043] Compared with the prior art, the beneficial effects achieved by the present invention are:

[0044] (1) By setting up a diet monitoring module, the user's diet is monitored to ensure that the doctor can make a more comprehensive assessment of the condition during consultation;

[0045] (2) By setting up a drug dosage monitoring module, the user's daily medication dosage is monitored to prevent the user from taking medication improperly;

[0046] (3) By setting up a psychological state monitoring module, the psychological state of the user is monitored to provide an effective basis for the doctor's consultation;

[0047] (4) By setting up a dietary health analysis module, the nutritional content of the food can be identified and the dietary health of the user can be judged;

[0048] (5) By setting up an upload module, the user's monitoring results can be uploaded to the community hospital, making it easier for doctors to extract them as a reference for consultation. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0050] Figure 1 It is a schematic diagram of the system module composition of the present invention. DETAILED DESCRIPTION

[0051] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0052] See also Figure 1The present invention provides a technical solution: an intelligent management system based on the integration of medical treatment and prevention, including a monitoring module, an analysis module, and a feedback module. The monitoring module is electrically connected to the analysis module, and the analysis module is electrically connected to the feedback module. The monitoring module is used to monitor the user's lifestyle, the analysis module is used to analyze the user's health status, and the feedback module is used to send the user's lifestyle to the community hospital to obtain the doctor's feedback. The analysis module includes a diet health analysis module, a drug intake rationality analysis module, and a psychological state analysis module. The diet health analysis module is electrically connected to the drug intake rationality analysis module, and the drug intake rationality analysis module is electrically connected to the psychological state analysis module. The diet health analysis module is used to analyze the user's health in terms of diet, the drug intake rationality analysis module is used to analyze the rationality of the user's daily drug intake, and the psychological state analysis module is used to analyze the user's mental health status.

[0053] The monitoring module includes a diet monitoring module, a drug dosage monitoring module, and a psychological state monitoring module. The diet monitoring module is electrically connected to the drug dosage monitoring module, and the drug dosage monitoring module is electrically connected to the psychological state monitoring module. The diet monitoring module is used to monitor the user's eating habits and food intake. The drug dosage monitoring module is used to monitor the user's medication dosage. The psychological state monitoring module is used to monitor whether the user has abnormal conditions. The diet monitoring module includes a camera module, a weighing module, a contour fitting module, and a time recording module. The camera module is electrically connected to the weighing module, and the contour fitting module is electrically connected to the time recording module. The camera module is used to collect food information, and the weighing module is used to measure the food. The food is weighed, the contour fitting module is used to fit the contour of the food, the time recording module is used to record the time period of the user's food intake, the drug dosage monitoring module includes a code scanning unit and a recording module, the code scanning unit is used to identify the type of drug, the recording module is used to record the user's drug dosage, the psychological state monitoring module includes an expression recognition module, an activity judgment module, a sleep monitoring module, and an expression analysis module, the expression recognition module is electrically connected to the expression analysis module, the expression recognition module is used to recognize and collect the user's facial video, the activity judgment module is used to judge the user's activity, the sleep monitoring module is used to detect the user's sleep quality, and the expression analysis module is used to analyze the user's psychological state according to the facial condition.

[0054] The feedback module includes an upload module and a doctor's advice receipt module. The upload module is electrically connected to the doctor's advice receipt module. The upload module is used to upload the monitoring results to the community hospital, and the doctor's advice receipt module is used for doctors to provide advice remotely.

[0055] An operation method of an intelligent management system based on medical and preventive integration includes the following steps:

[0056] Step S1: The intelligent management system is placed in the user's life scene, and the monitoring module therein monitors the user's lifestyle;

[0057] Step S2: The analysis module can preliminarily judge the user's health status based on the monitoring results of the monitoring module and send a reminder to the user;

[0058] Step S3: The feedback module uploads the monitored data to the database of the hospital in the jurisdiction through the upload module for archiving. When the doctor consults the user, the archived data can be used as a reference;

[0059] Step S4: Doctors in community hospitals sign contracts with users. Users can seek help online through the mini program. Doctors develop scientific and effective treatment methods based on archived data and monitoring results.

[0060] Step S1 further comprises the following steps:

[0061] Step S11: The diet monitoring module is placed in front of the dining table to monitor the user's food and analyze the user's diet health according to the diet health analysis module. The user's dining behavior is completed in front of the dining table;

[0062] Step S12: The drug dosage monitoring module is placed in the medicine box to monitor the user's daily medication situation, and the rationality of the drug dosage is analyzed through the drug intake rationality analysis module. The consumed drug dosage will be presented in the form of weight;

[0063] Step S13: The psychological state monitoring module monitors the psychological state of the user based on camera modules distributed in multiple locations.

[0064] Step S11 further includes the following steps:

[0065] Step S111: before the user eats, the food is placed in a separate meal tray. There is a weighing module under the meal tray, which displays the weight of the food in the meal tray in real time. The camera on the diet monitoring module starts working.

[0066] Step S112: The camera collects food on the plate and identifies the type of food using AI recognition technology;

[0067] Step S113: After identifying the types of food, the contours of each food are fitted according to the contour fitting module, and the weight proportion q of each food is calculated according to the contour area Si of each food. The calculation formula of the weight proportion q of each food is:

[0068]

[0069] Where n is the number of food types recognized by the camera module in the plate. After calculating the weight proportion of various foods, the user's dietary healthiness is judged based on the content of different food ingredients and the type of chronic diseases the user has.

[0070] Step S114: The time recording module records the user's meal time t, compares it with the ingredient content table of various foods, determines the content of various ingredients in the user's food intake, and uploads it to the community hospital database.

[0071] Step S12 further includes the following steps:

[0072] Step S121: The code scanning unit is placed at the opening of the medicine box, and the type of medicine can be identified according to the identification code on the medicine packaging. When the user takes out the medicine he needs to take, he scans the code at the code scanning unit at the opening of the medicine box, and then puts the medicine back;

[0073] Step S122: The recording module records the weight of the medicine box in real time. Each time a medicine is taken out, the corresponding weight change value H of the medicine box and the type of medicine will be recorded, and the dosage Y of the type of medicine will be calculated based on the weight change value of the medicine box and the weight h of a single medicine. And compare it with the optimal dosage v recommended by the doctor to judge the rationality of the user's drug intake L. The calculation formula for the rationality of the user's drug intake L is:

[0074]

[0075] Among them, k is the conversion coefficient. The larger L is, the more reasonable the drug intake is. When Y=v, the drug intake is the most reasonable.

[0076] Step S123: After the recording module records the types and dosages of various drugs taken by the user in a day, the recorded data is uploaded to the community hospital database for doctors to make reference for diagnosis.

[0077] Step S13 further includes the following steps:

[0078] Step S131: the expression recognition module locks the user's face, collects the user's face video, and analyzes the user's expression;

[0079] Step S132: The activity determination module monitors the user's activities during non-sleep time and records the activity time t0 and the sleep time t i , and analyze its activity G;

[0080] Step S133: The sleep monitoring module determines the sleep quality of the user according to the user's sleep state.

[0081] In step S132, the calculation formula of the user's activity G is:

[0082]

[0083] Among them, t i is the user's sleep time, in hours, t0 is the user's active time during non-sleep time, in hours, and μ is the conversion coefficient.

[0084] Step S131 further includes the following steps:

[0085] Step S1311: When the user is not in the sleeping state, the camera module detects the user, and the camera frame locks the user and follows the user. After the camera frame stops moving, the expression recognition module starts to work, and can lock the user's face when the user is not moving, and collect facial video information, and at the same time record the time T when the user is in a stationary state. If the user is still in a non-sleeping state, it means that the user's current activity is low;

[0086] Step S1312: After the facial video is collected, the expression analysis module starts to analyze the facial expression of the user in the video, and uses AI technology to analyze whether there are wrinkles on the user's eyebrows in the video. The presence of wrinkles indicates that the user is frowning, and the time T0 when the user frowns is recorded;

[0087] Step S1313: judging the psychological state of the user according to the percentage of time η that the user frowns. If the user is in a non-exercise state for a long time and frowns, it means that the user is in a bad mood. The calculation formula of the percentage of time η that the user frowns is:

[0088]

[0089] Among them, λ is the conversion coefficient. The longer the user's frowning time is, the more likely it is that his mental state is poor, and psychological assistance treatment is needed at this time.

[0090] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0091] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent management system based on medical and preventive integration, including a monitoring module, an analysis module, and a feedback module, characterized in that: The monitoring module is electrically connected to the analysis module, and the analysis module is electrically connected to the feedback module. The monitoring module is used to monitor the user's lifestyle, and the analysis module is used to analyze the user's health status. The feedback module is used to send the user's lifestyle to the community hospital to obtain feedback from the doctor. The analysis module includes a diet health analysis module, a drug intake rationality analysis module, and a psychological state analysis module. The diet health analysis module is electrically connected to the drug intake rationality analysis module, and the drug intake rationality analysis module is electrically connected to the psychological state analysis module. The diet health analysis module is used to analyze the user's health status in terms of diet, the drug intake rationality analysis module is used to analyze the rationality of the user's daily drug intake, and the psychological state analysis module is used to analyze the user's psychological health status; The operation method of the intelligent management system based on medical and preventive integration includes the following steps: Step S1: The intelligent management system is placed in the user's life scene, and the monitoring module therein monitors the user's lifestyle; Step S2: The analysis module preliminarily determines the user's health status based on the monitoring results of the monitoring module and issues a reminder to the user; Step S3: The feedback module uploads the monitored data to the database of the hospital in the jurisdiction through the upload module for archiving. When the doctor consults the user, the archived data is used as a reference; Step S4: Doctors in community hospitals sign contracts with users. Users seek online help through the mini program, and doctors develop scientific and effective treatment methods based on archived data and monitoring results. The step S1 further comprises the following steps: Step S11: The diet monitoring module is placed in front of the dining table to monitor the user's food and analyze the user's diet health according to the diet health analysis module. The user's dining behavior is completed in front of the dining table; Step S12: The drug dosage monitoring module is placed in the medicine box to monitor the user's daily medication situation, and the rationality of the drug dosage is analyzed through the drug intake rationality analysis module. The consumed drug dosage will be presented in the form of weight; Step S13: the psychological state monitoring module monitors the psychological state of the user according to the camera modules distributed in multiple locations; The step S11 further comprises the following steps: Step S111: Before eating, the user places the food on a separate plate. There is a weighing module under the plate to display the weight of the food on the plate in real time. , the camera on the diet monitoring module starts working; Step S112: The camera collects food on the plate and identifies the type of food using AI recognition technology; Step S113: After identifying the food type, the contour of each food is fitted according to the contour fitting module, and the contour area of ​​each food is calculated. Calculate the weight of various foods , the weight of various foods The calculation formula is: ； in, The camera module identifies the number of food types in the plate, calculates the weight ratio of each food, and then judges the healthiness of the user's diet based on the content of different food ingredients and the type of chronic diseases the user has; Step S114: The time recording module records the user's meal time. , compare the ingredient content tables of various foods, determine the content of various ingredients in the user's food intake, and upload it to the community hospital database; The step S12 further comprises the following steps: Step S121: The code scanning unit is placed at the opening of the medicine box, and the type of medicine is identified according to the identification code on the medicine package. When the user takes out the medicine to be taken, the code is scanned at the code scanning unit at the opening of the medicine box, and then the medicine is put back; Step S122: The recording module records the weight of the medicine box in real time. Each time a medicine is taken out, the corresponding weight change value of the medicine box is recorded. The type of medicine will be recorded and the weight change of the medicine box and the weight of a single medicine will be recorded. Calculate the dosage of this type of drug , and consult your doctor for the best dosage Compare and judge the rationality of the user's drug intake , rationality of user drug intake The calculation formula is: ； in, is the conversion factor, The larger the value, the more reasonable the drug intake. When the drug intake is most reasonable; Step S123: After the recording module records the types and dosages of various drugs taken by the user in a day, the recorded data is uploaded to the community hospital database for doctors to make reference for diagnosis.

2. According to claim 1, an intelligent management system based on medical and preventive integration is characterized by: The monitoring module includes a diet monitoring module, a drug dosage monitoring module, and a psychological state monitoring module. The diet monitoring module is electrically connected to the drug dosage monitoring module, and the drug dosage monitoring module is electrically connected to the psychological state monitoring module. The diet monitoring module is used to monitor the user's eating habits and food intake, the drug dosage monitoring module is used to monitor the user's drug dosage, and the psychological state monitoring module is used to monitor whether the user has abnormal conditions. The diet monitoring module includes a camera module, a weighing module, a contour fitting module, and a time recording module. The camera module is electrically connected to the weighing module, the contour fitting module is electrically connected to the time recording module, the camera module is used to collect food information, and the weighing module is used to measure food intake. The device is used for weighing the food, the contour fitting module is used for fitting the contour of the food, the time recording module is used for recording the time period of the user's food intake, the drug dosage monitoring module includes a code scanning unit and a recording module, the code scanning unit is used to identify the type of drug, the recording module is used to record the user's drug dosage, the psychological state monitoring module includes an expression recognition module, an activity judgment module, a sleep monitoring module, and an expression analysis module, the expression recognition module is electrically connected to the expression analysis module, the expression recognition module is used to recognize and collect the user's facial video, the activity judgment module is used to judge the user's activity, the sleep monitoring module is used to detect the user's sleep quality, and the expression analysis module is used to analyze the user's psychological state according to the facial condition.

3. According to claim 2, an intelligent management system based on medical and preventive integration is characterized by: The feedback module includes an upload module and a doctor's advice receipt module. The upload module is electrically connected to the doctor's advice receipt module. The upload module is used to upload the monitoring results to the community hospital, and the doctor's advice receipt module is used for doctors to provide advice remotely.

4. The intelligent management system based on medical and preventive integration according to claim 3 is characterized by: The step S13 further comprises the following steps: Step S131: the expression recognition module locks the user's face, collects the user's face video, and analyzes the user's expression; Step S132: The activity determination module monitors the user's activities during non-sleep time and records the activity time and sleep time , and analyze its activity ; Step S133: The sleep monitoring module determines the sleep quality of the user according to the user's sleep state.

5. The intelligent management system based on medical and preventive integration according to claim 4 is characterized by: In step S132, the calculation formula of the user's activity G is: ； in, The user's sleep time, in hours. The time the user is active during non-sleep time, in hours. is the conversion factor.

6. The intelligent management system based on medical and preventive integration according to claim 5 is characterized by: The step S131 further includes the following steps: Step S1311: When the user is not in a sleeping state, the camera module detects the user, the camera frame locks the user and follows the user, and after the camera frame stops moving, the expression recognition module starts working, locks the user's face when the user is not moving, collects facial video information, and records the time the user is in a stationary state. ; Step S1312: After the facial video is collected, the expression analysis module starts to analyze the facial expression of the user in the video, and uses AI technology to analyze whether the user's eyebrows are wrinkled in the video. The presence of wrinkles indicates that the user is frowning, and the time when the user frowns is recorded. ; Step S1313: The percentage of time the user is frowning The calculation formula is: ； in, is the conversion coefficient. The longer the user's frowning time is, the more likely it is that their mental state is poor, and psychological assistance treatment is needed at this time.

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