Obstetrical clinical antenatal diagnosis and examination system

Abstract

The invention discloses a clinical antenatal diagnosis and examination system for the obstetrics department, and particularly relates to the field of medical treatment. Comprising a server, an information acquisition module, a data acquisition module, an evaluation module, an artificial intelligence auxiliary diagnosis module, an alarm module, a report generation module, a remote monitoring and consultation module, a personalized health management plan module, a genetic disease risk evaluation module, a virtual reality education module and an emotion monitoring and psychological support module. The system facilitates remote monitoring and consultation, facilitates prenatal examination of pregnant women at home, relieves hospital pressure, improves service efficiency, simulates a scene through a virtual reality technology to help the pregnant women to understand prenatal and postnatal related knowledge, helps the pregnant women to better understand the prenatal and postnatal related knowledge and relieve anxiety mood, and is combined with a VR technology to make the pregnant women more interesting. Immersive education experience is provided, the education effect is improved, the sense of participation and satisfaction of the pregnant woman are enhanced, timely emotion monitoring and psychological support are provided, and anxiety and pressure during pregnancy can be relieved.

Description

Technical Field

[0001] The present invention relates to the medical field, and more specifically, to a prenatal diagnosis and examination system for clinical use in obstetrics. Background Art

[0002] Prenatal examination refers to a series of medical and nursing suggestions and measures provided for pregnant women. The purpose is to prevent and detect complications at an early stage through the monitoring of pregnant women and fetuses, reduce their adverse effects. Providing correct examination methods and medical advice during this period is the key to reducing the maternal mortality rate and perinatal mortality rate. In modern obstetric medicine, prenatal diagnosis and examination is an important link to ensure the health of mothers and babies.

[0003] Traditional prenatal diagnosis and examination usually requires pregnant women to go to the hospital for on-site examination. Based on the provided information and various physiological data obtained from the examination, then according to the examination data, doctors make a diagnosis based on personal experience and some professional knowledge. After entering the data into the hospital's computer, the previous medical record data can also be used for reference. Then, the current diagnosis results and subsequent precautions are mentioned to the pregnant woman and her family. Since the number of hospital departments dedicated to diagnosing pregnant women is limited, it is inconvenient for pregnant women to travel a long distance to the hospital and wait in line for a long time. Therefore, designing a system that can remotely monitor and consult after a pregnant woman's first visit to the hospital for diagnosis, facilitating prenatal examination at home for pregnant women, reducing the hospital's pressure, improving service efficiency, and simulating scenarios to help pregnant women understand relevant knowledge before and after childbirth has become a problem that needs to be solved currently. Summary of the Invention

[0004] In order to overcome the above-mentioned defects of the prior art, the present invention provides a prenatal diagnosis and examination system for clinical use in obstetrics.

[0005] To achieve the above object, the present invention provides the following technical solution: A prenatal diagnosis and examination system for clinical use in obstetrics, including a server, an information acquisition module, a data collection module, an evaluation module, an artificial intelligence-assisted diagnosis module, an alarm module, a report generation module, a remote monitoring and consultation module, a personalized health management plan module, a genetic disease risk assessment module, a virtual reality education module, and an emotion monitoring and psychological support module. Among them, the output ends of the information acquisition module and the data collection module are both connected to the input end of the server, and the evaluation module, the artificial intelligence-assisted diagnosis module, the alarm module, the report generation module, the remote monitoring and consultation module, the personalized health management plan module, the genetic disease risk assessment module, the virtual reality education module, and the emotion monitoring and psychological support module all interact with the server in terms of data connection. The output end of the artificial intelligence-assisted diagnosis module is also connected to the input end of the report generation module.

[0006] As a further improvement of the technical solution of the present invention, the information acquisition module is used to acquire the basic information of the pregnant woman to be tested, including name, age, parity, number of deliveries, etc., and acquire the basic information of the pregnant woman through the hospital information system (HIS) or the electronic medical record system (EMR), or information entry can also be performed by manual input or scanning the ID card.

[0007] As a further improvement of the technical solution of the present invention, the data acquisition module is used to collect the physiological data of the pregnant woman to be tested, including blood pressure, blood sugar, blood indexes (such as red blood cell count), etc., and physical information (such as weight, height, etc.); the evaluation module evaluates the health data according to the collected data in combination with the pregnancy cycle of the pregnant woman and gives a health score. The specific evaluation content includes blood pressure health status, blood sugar health status, and whether there is anemia, etc.

[0008] As a further improvement of the technical solution of the present invention, the artificial intelligence assisted diagnosis module uses artificial intelligence technologies, such as deep learning, machine learning and other AI technologies, to train and learn a large amount of historical data, and automatically analyzes and diagnoses the physiological data and physical information of the collected pregnant woman; the alarm module is used to set different warning levels and corresponding thresholds, and when the evaluation result exceeds the threshold, an alarm message is triggered, and the alarm message is sent to the doctor or the pregnant woman by means of text message, email, system notification, etc.

[0009] As a further improvement of the technical solution of the present invention, the report generation module is used to generate a diagnosis report, and automatically generates a prenatal diagnosis report according to the evaluation result and the alarm message. The report includes the basic information of the pregnant woman, various examination data, evaluation results, alarm messages, and doctor's suggestions, etc.; the remote monitoring and consultation module is used to provide remote monitoring services for pregnant women, collect the physiological data of pregnant women in real time through wearable devices or mobile applications, and upload them to the system for analysis. At the same time, an online consultation service is provided, and pregnant women can consult doctors at any time to obtain professional suggestions.

[0010] As a further improvement of the technical solution of the present invention, the personalized health management plan module is used to automatically generate a personalized health management plan according to the individual situation and evaluation result of the pregnant woman, including diet suggestions, exercise guidance, prenatal examination reminders, etc., and push them to the pregnant woman for easy viewing and implementation.

[0011] As a further improvement of the technical solution of the present invention, the genetic disease risk assessment module is used to collect the genetic information of the pregnant woman and her family members (such as gene sequences, family history, etc.), and perform risk assessment using genetic analysis methods.

[0012] As a further improvement of the technical solution of the present invention, the virtual reality education module is used to provide prenatal education services for pregnant women, and helps pregnant women understand relevant knowledge before and after childbirth by simulating scenarios through virtual reality technology; the emotion monitoring and psychological support module is used to monitor the emotional state of pregnant women, provide psychological support suggestions or guide them to seek professional psychological counseling. By collecting information such as the voice and facial expressions of pregnant women, the emotional state is monitored and analyzed using emotion recognition technology. For pregnant women with abnormal emotions, the system can provide psychological support suggestions or guide them to seek the help of professional psychological counselors.

[0013] Advantages of the present invention:

[0014] The present invention facilitates the automatic analysis and diagnosis of the physiological data and body posture information of pregnant women collected, provides preliminary diagnosis suggestions and risk predictions, improves the accuracy and efficiency of diagnosis by combining AI technology, reduces human errors, and can ensure that doctors can timely detect and handle potential health risks of pregnant women, realizes remote monitoring and consultation, facilitates pregnant women to have prenatal examinations at home, reduces the pressure on hospitals, improves service efficiency, and can provide personalized health management plans according to the individual conditions and evaluation results of pregnant women, meets the differentiated needs of pregnant women, improves the pertinence and effectiveness of health management, helps pregnant women understand relevant knowledge before and after childbirth by simulating scenarios through virtual reality technology, provides prenatal education services for pregnant women, helps pregnant women better understand relevant knowledge before and after childbirth by simulating scenarios such as the childbirth process and parenting knowledge, reduces anxiety, combines VR technology, provides an immersive education experience, improves the education effect, enhances the sense of participation and satisfaction of pregnant women, and provides timely emotion monitoring and psychological support, which helps to reduce pregnancy anxiety and stress. Description of the Drawings

[0015] Figure 1 It is the system block diagram of the present invention.

[0016] The reference numerals are: 1, server; 2, information acquisition module; 3, data acquisition module; 4, evaluation module; 5, artificial intelligence assisted diagnosis module; 6, alarm module; 7, report generation module; 8, remote monitoring and consultation module; 9, personalized health management plan module; 10, genetic disease risk assessment module; 11, virtual reality education module; 12, emotion monitoring and psychological support module. Specific Embodiments

[0017] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0018] As shown in the attached Figure 1 A prenatal diagnosis and examination system for obstetric clinical use, including a server 1, an information acquisition module 2, a data collection module 3, an evaluation module 4, an artificial intelligence-assisted diagnosis module 5, an alarm module 6, a report generation module 7, a remote monitoring and consultation module 8, a personalized health management plan module 9, a genetic disease risk assessment module 10, a virtual reality education module 11, and an emotion monitoring and psychological support module 12. Among them, the output ends of the information acquisition module 2 and the data collection module 3 are both connected to the input end of the server 1, and the evaluation module 4, the artificial intelligence-assisted diagnosis module 5, the alarm module 6, the report generation module 7, the remote monitoring and consultation module 8, the personalized health management plan module 9, the genetic disease risk assessment module 10, the virtual reality education module 11, and the emotion monitoring and psychological support module 12 all interact with the server 1 in terms of data connection. The output end of the artificial intelligence-assisted diagnosis module 5 is also connected to the input end of the report generation module 7.

[0019] Among them, the information acquisition module 2 is used to obtain the basic information of the target pregnant woman to be tested, including name, age, parity, number of births, etc. The basic information of the pregnant woman is obtained through the hospital information system (HIS) or the electronic medical record system (EMR), and can also be entered by manual input or scanning the ID card, etc. The obtained basic information is the basis for subsequent diagnosis and analysis, and is crucial for ensuring the accuracy and integrity of the data.

[0020] Among them, the data collection module 3 is used to collect the physiological data of the target pregnant woman to be tested, including blood pressure, blood sugar, blood indexes (such as red blood cell count), etc., and body posture information (such as weight, height, etc.). Specifically, medical devices (such as sphygmomanometers, heart rate monitors, etc.) can be used to directly measure the physiological data of the pregnant woman, and the data is transmitted to the server by wired or wireless means. At the same time, wearable devices (such as smart bracelets, smart weighing scales, etc.) can also be used to collect the body posture information of the pregnant woman in real time.

[0021] Among them, the evaluation module 4 evaluates the health data according to the collected data, combined with the pregnancy cycle of the pregnant woman, and gives a health score. The specific evaluation content includes blood pressure health status, blood sugar health status, and whether there is anemia, etc. The blood pressure health status can be judged according to the relationship between the real-time systolic blood pressure and diastolic blood pressure and the preset range; the blood sugar health status can be judged according to the relationship between the fasting blood sugar and the preset blood sugar, and the health score is adjusted accordingly; the health status of the pregnant woman is comprehensively evaluated according to blood indexes such as red blood cell count.

[0022] Among them, the artificial intelligence-assisted diagnosis module 5 uses artificial intelligence technologies such as deep learning and machine learning to train and learn from a large amount of historical data, automatically analyze and diagnose the physiological data and body posture information of pregnant women collected, provide preliminary diagnostic suggestions and risk predictions, and improve the accuracy and efficiency of diagnosis and reduce human errors by combining AI technologies.

[0023] Among them, the alarm module 6 is used to set different warning levels and corresponding thresholds. When the evaluation result exceeds the threshold, an alarm message is triggered, and the alarm message is sent to the doctor or the pregnant woman by means of text message, email, system notification, etc., to ensure that the doctor can timely discover and handle the potential health risks of the pregnant woman.

[0024] Among them, the report generation module 7 is used to generate a diagnostic report. According to the evaluation result and the alarm message, a prenatal diagnostic report is automatically generated. The report includes the basic information of the pregnant woman, various examination data, evaluation results, alarm messages, and doctor's suggestions, etc. The report can include text descriptions, chart displays, etc., which is convenient for doctors to view and understand, ensuring the accuracy and readability of the report and facilitating the doctor's subsequent diagnosis and treatment.

[0025] Among them, the remote monitoring and consultation module 8 is used to provide remote monitoring services for pregnant women. After the first in-hospital diagnosis, pregnant women can purchase some detection devices in a rented or purchased manner, log in to the APP with the detected data for display, collect the physiological data of pregnant women in real time through wearable devices or mobile applications, and upload them to the system for analysis. At the same time, online consultation services are provided, and pregnant women can consult doctors at any time to obtain professional advice, realizing remote monitoring and consultation, facilitating pregnant women to have prenatal examinations at home, reducing the pressure on hospitals, and improving service efficiency.

[0026] Among them, the personalized health management plan module 9 is used to automatically generate a personalized health management plan according to the individual situation and evaluation results of pregnant women, including diet suggestions, exercise guidance, prenatal examination reminders, etc., and push them to pregnant women for their convenient viewing and implementation, providing a personalized health management plan to meet the different needs of pregnant women and improving the pertinence and effectiveness of health management.

[0027] Among them, the genetic disease risk assessment module 10 is used to collect the genetic information of pregnant women and their families (such as gene sequences, family history, etc.) and conduct risk assessment using genetic analysis methods to deepen prenatal diagnosis and provide more comprehensive health information for families.

[0028] Among them, the virtual reality education module 11 is used to provide prenatal education services for pregnant women. By simulating scenarios through virtual reality technology, it helps pregnant women understand relevant knowledge before and after childbirth, provides prenatal education services, and helps pregnant women better understand relevant knowledge before and after childbirth by simulating scenarios such as the childbirth process and parenting knowledge, alleviates anxiety, combines VR technology to provide an immersive education experience, improves the education effect, and enhances the sense of participation and satisfaction of pregnant women;

[0029] Among them, the emotion monitoring and psychological support module 12 is used to monitor the emotional state of pregnant women, provide psychological support suggestions or guide them to seek professional psychological counseling. By collecting information such as the voice and facial expressions of pregnant women, it uses emotion recognition technology to monitor and analyze their emotional state. For pregnant women with abnormal emotions, the system can provide psychological support suggestions or guide them to seek the help of professional psychological counselors. The effect is to pay attention to the mental health of pregnant women, provide timely emotion monitoring and psychological support, and help reduce pregnancy anxiety and stress.

[0030] In summary, when this system is in use, the information acquisition module 2, as the entrance of the system, is responsible for collecting the basic information of pregnant women and providing a data basis for subsequent modules;

[0031] The data acquisition module 3 is connected to the information acquisition module 2, further collects the physiological data and body posture information of pregnant women, and transmits them to the evaluation module 4 and the artificial intelligence assisted diagnosis module 5 through the server 1 for analysis;

[0032] The evaluation module 4 receives the data transmitted by the data acquisition module 3 through the server 1, combines the pregnancy cycle of pregnant women, conducts a health assessment, and generates a health score. At the same time, the evaluation results will also be transmitted to the warning module 4 and the report generation module 7 through the server 1;

[0033] The artificial intelligence assisted diagnosis module 5 is connected to the data acquisition module 3 and the evaluation module 4 through the server 1, uses AI technology to deeply analyze the data, and provides preliminary diagnosis suggestions and risk predictions;

[0034] The warning module 6 triggers warning information according to the results of the evaluation module 4 to remind doctors to pay attention to and handle the potential health risks of pregnant women in a timely manner;

[0035] The report generation module 7 comprehensively evaluates the results, warning information, and suggestions of the artificial intelligence assisted diagnosis module 6, and automatically generates a prenatal diagnosis report;

[0036] The remote monitoring and consultation module 8 is connected to the data acquisition module 3 through the server 1 to realize the functions of remote data collection and online consultation, providing convenient services for pregnant women;

[0037] The personalized health management plan module 9 generates a personalized health management plan based on the assessment results and the individual conditions of the pregnant woman, guiding the daily life and health management of the pregnant woman;

[0038] The genetic disease risk assessment module 10 combines the genetic information of the pregnant woman and her family members to conduct genetic disease risk assessment, providing comprehensive health information for the family;

[0039] The virtual reality education module 11 provides prenatal education services for the pregnant woman, helping the pregnant woman understand the relevant knowledge before and after childbirth through simulated scenarios;

[0040] The emotion monitoring and psychological support module 12 monitors the emotional state of the pregnant woman, provides psychological support suggestions, or guides her to seek professional psychological counseling;

[0041] The above are only the preferred embodiments of the present invention and are not used to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A prenatal diagnosis and examination system for obstetrics clinical use, characterized in that: The invention comprises a server (1), an information acquisition module (2), a data acquisition module (3), an evaluation module (4), an artificial intelligence-assisted diagnosis module (5), an alarm module (6), a report generation module (7), a remote monitoring and consulting module (8), a personalized health management plan module (9), a genetic disease risk assessment module (10), a virtual reality education module (11) and an emotion monitoring and psychological support module (12), wherein the output ends of the information acquisition module (2) and the data acquisition module (3) are both connected to the input end of the server (1), the evaluation module (4), the artificial intelligence-assisted diagnosis module (5), the alarm module (6), the report generation module (7), the remote monitoring and consulting module (8), the personalized health management plan module (9), the genetic disease risk assessment module (10), the virtual reality education module (11) and the emotion monitoring and psychological support module (12) are all data-interacting with the connection end of the server (1), and the output end of the artificial intelligence-assisted diagnosis module (5) is also connected to the input end of the report generation module (7).

2. The prenatal diagnosis and examination system for clinical obstetrics according to claim 1, characterized in that: The information acquisition module (2) is used to obtain basic information of the target pregnant woman to be tested, including name, age, pregnancy number, and parity number. The basic information of the pregnant woman is obtained through a hospital information system (HIS) or an electronic medical record system (EMR), or the information can be entered manually or by scanning an identity card.

3. The prenatal diagnosis and examination system for obstetrics clinical use according to claim 1, characterized in that: The data acquisition module (3) is used to collect physiological data of the target pregnant woman to be tested, including blood pressure, blood sugar, blood indexes, and body shape information; the evaluation module (4) evaluates the health data based on the collected data and the pregnancy cycle of the pregnant woman, and gives a health score, wherein the specific evaluation content includes the health status of blood pressure, the health status of blood sugar, and whether anemia exists.

4. The prenatal diagnosis and examination system for obstetrics clinical use according to claim 1, characterized in that: The artificial intelligence-assisted diagnosis module (5) uses artificial intelligence technology to train and learn a large amount of historical data, and automatically analyzes and diagnoses the collected physiological data and body shape information of the pregnant woman; the alarm module (6) is used to set different warning levels and corresponding thresholds. When the evaluation result exceeds the threshold, the alarm information is triggered, and the alarm information is sent to the doctor or the pregnant woman via SMS, email, or system notification.

5. The prenatal diagnosis and examination system for obstetrics clinical use according to claim 1, characterized in that: The report generation module (7) is used to generate a prenatal diagnosis report. According to the evaluation results and warning information, a prenatal diagnosis report is automatically generated. The report includes basic information of the pregnant woman, various examination data, evaluation results, warning information and doctor's advice. The remote monitoring and consulting module (8) is used to provide remote monitoring services for pregnant women. It collects the physiological data of pregnant women in real time through wearable devices or mobile applications and uploads them to the system for analysis. At the same time, it provides online consulting services, so that pregnant women can consult doctors at any time and obtain professional advice.

6. The prenatal diagnosis and examination system for obstetrics clinical use according to claim 1, characterized in that: The personalized health management plan module (9) is used to automatically generate a personalized health management plan based on the individual conditions and evaluation results of the pregnant woman, including dietary advice, exercise guidance, and prenatal check-up reminders, which are pushed to the pregnant woman for her to review and execute.

7. The prenatal diagnosis and examination system for obstetrics clinical use according to claim 1, characterized in that: The genetic disease risk assessment module (10) is used to collect genetic information of pregnant women and their families, and to perform risk assessment using genetic analysis methods.

8. The prenatal diagnosis and examination system for obstetrics clinical use according to claim 1, characterized in that: The virtual reality education module (11) is used to provide antenatal education services for pregnant women, and helps pregnant women understand relevant knowledge about prenatal and postnatal care through virtual reality technology simulation scenes; the emotion monitoring and psychological support module (12) is used to monitor the emotional state of pregnant women, provide psychological support suggestions or guide them to seek professional psychological counseling, and collect the voice and facial expression information of pregnant women, and use emotion recognition technology to monitor and analyze their emotional state. For pregnant women with abnormal emotions, the system can provide psychological support suggestions or guide them to seek help from professional psychological counselors.

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