Health monitoring system applied to gynaecology and obstetrics and covering full-process data management of pregnant women

Abstract

The invention discloses a health monitoring system applied to gynaecology and obstetrics and covering pregnant woman whole-process data management, and relates to the technical field of medical digital management, and the health monitoring system comprises a data processing module, an information query module and a feature extraction module, and is used for collecting pregnant woman information, family member information and doctor information, correlating the information, and sending the related information to a server; the two-dimensional code is generated according to the diagnosis and treatment data of the pregnant woman, and the content in the two-dimensional code is dynamically updated through multi-terminal data collection, so that the whole-process data of the pregnant woman can be better and more comprehensively collected, and the whole-process health monitoring of the pregnant woman is further realized. According to the method, data management of the whole process of the pregnant woman from filing to postpartum reexamination is covered, all links of pregnant woman management are broken through, the requirement for supporting precise and personalized pregnant woman health service is met, and a new technical thought is provided for pregnant woman full-process data management.

Description

Technical Field

[0001] The present invention relates to the technical field of medical digital management. Specifically, it relates to a health monitoring system applied to the obstetrics and gynecology department, covering the whole-process data management of pregnant women. Background Art

[0002] At present, the health management of pregnant women has gradually shifted from traditional paper files to digital systems, but there are still significant defects in the technical framework. For example: ‌Multi-source data isolation:‌ Pregnant women's data are scattered in independent systems such as medical institutions, community services, and third-party testing. Cross-platform data calls rely on manual export or customized interface development, resulting in low data integration efficiency and high costs.

[0003] ‌Lack of data quality standards:‌ The collection of key indicators (such as mental state, nutritional intake) is not uniformly standardized. Grassroots institutions rely on manual entry, which is prone to format chaos and logical errors. The time-consuming data cleaning accounts for more than 30% of the overall process.

[0004] ‌Full-cycle process break:‌ There is a lack of an automated connection mechanism in links such as pregnancy registration in the first trimester, prenatal check-ups, and postpartum follow-up. Due to household registration restrictions or system compatibility issues for floating pregnant women, 20%-35% of the key node data is missing.

[0005] ‌Weak security governance mechanism:‌ When sharing privacy data (such as genetic history) across institutions, only basic encryption is used, lacking dynamic permission control and desensitization strategies. The incidence of data leakage incidents is higher than that in other medical fields.

[0006] ‌Insufficient intelligence of analysis tools:‌ Existing systems only support the generation of basic statistical reports, lacking deep learning models such as early warning of high-risk pregnancies and personalized intervention suggestions. The utilization rate of data value is less than 40%.

[0007] In view of the above deficiencies, the technical problems can be summarized as:‌ A full-process data center covering the pre-pregnancy, pregnancy, and postpartum periods has not been established, resulting in a very low real-time synchronization rate; and the health management process is not deeply bound to the electronic health record system. More than 30% of the follow-up records rely on manual supplementation, and the data continuity is damaged. In short, the main lack of the existing technology lies in the end-to-end management architecture covering data collection, storage, governance, and application, resulting in the fragmentation of technical capabilities in each link and being unable to support the accurate and personalized health service needs of pregnant women. Summary of the Invention

[0008] To solve the above problems, the purpose of the present invention is to design a health monitoring system applied to the obstetrics and gynecology department, covering the whole-process data management of pregnant women, so as to meet the health service needs of pregnant women.

[0009] To achieve the above technical objectives, the present application provides a health monitoring system applied to the obstetrics and gynecology department, covering the whole process data management of pregnant women, including: A data processing module, configured to use the collected pregnant woman information, family member information, and doctor information as the first identity information, obtain the pregnant woman diagnosis and treatment data corresponding to the pregnant woman information, generate a two-dimensional code based on the pregnant woman diagnosis and treatment data, and store the pregnant woman diagnosis and treatment data in a database; An information query module, configured to obtain the second identity information obtained by scanning the two-dimensional code, and provide the first pregnant woman diagnosis and treatment data corresponding to the first identity information for the second user corresponding to the second identity information by determining the relationship between the second identity information and the first identity information, or provide the second pregnant woman diagnosis and treatment data associated with the pregnant woman information provided by the second user for the first user corresponding to the first identity information; A feature extraction module, configured to extract feature data based on the pregnant woman diagnosis and treatment data, according to the first pregnant woman diagnosis and treatment data and / or the second pregnant woman diagnosis and treatment data, wherein the first user generates a two-dimensional code by selecting the feature data.

[0010] Preferably, the data processing module is further configured to associate and bind the pregnant woman information, family member information, and doctor information.

[0011] Preferably, the data processing module is further configured to associate and bind the pregnant woman information with the new family member information and / or new doctor information, mark the relationship between the new family member information and / or new doctor information and the original information, and then update the first identity information.

[0012] Preferably, the data processing module is further configured to mark the pregnant woman diagnosis and treatment data according to the update timestamp of the first identity information, wherein the update time, query situation, and update content of the pregnant woman diagnosis and treatment data are marked.

[0013] Preferably, the information query module is further configured to provide the marked pregnant woman diagnosis and treatment data for the second user, and update the pregnant woman diagnosis and treatment data after marking the first pregnant woman diagnosis and treatment data and the second pregnant woman diagnosis and treatment data according to the marking rules of the pregnant woman diagnosis and treatment data.

[0014] Preferably, the feature extraction module is further based on the marked pregnant woman diagnosis and treatment data, the first pregnant woman diagnosis and treatment data, and the second pregnant woman diagnosis and treatment data, according to the marked time tags in the data, and based on the relevance between the update contents, extract features from the updated pregnant woman diagnosis and treatment data to obtain feature data and update the two-dimensional code.

[0015] Preferably, the information query module is further configured to obtain the diagnosis and treatment data provided by the second user that is not associated with the pregnant woman information, perform big data analysis on the pregnant woman diagnosis and treatment data, and perform secondary marking on the pregnant woman diagnosis and treatment data according to the analysis results.

[0016] Preferably, the health monitoring method performed by the system includes the following steps: S1. Collect the first identity information and pregnant woman's diagnosis and treatment data, and generate a two-dimensional code according to the pregnant woman's diagnosis and treatment data; S2. Obtain the first identity information, the pregnant woman's diagnosis and treatment data, and the first characteristic data corresponding to the pregnant woman's diagnosis and treatment data by scanning the two-dimensional code; S3. Perform feature traversal in the database according to the first characteristic data, judge the accuracy of the first characteristic data, and update the two-dimensional code according to the judgment result; S4. Scan the updated two-dimensional code to obtain the second identity information, the second pregnant woman's diagnosis and treatment data, and the second characteristic data corresponding to the second pregnant woman's diagnosis and treatment data, and perform feature traversal in the database according to the second characteristic data to obtain the pregnant woman's diagnosis and treatment data associated with the second characteristic data; S5. Perform secondary update on the two-dimensional code according to the first characteristic data, the second characteristic data, the first identity information or the second identity information. Among them, by scanning the two-dimensional code, obtain the pregnant woman's diagnosis and treatment data corresponding to the pregnant woman information, and the database data associated with the pregnant woman's diagnosis and treatment data corresponding to the pregnant woman information.

[0017] The present invention discloses the following technical effects: The present invention covers the data management of the whole process from the establishment of the pregnancy file to the postpartum reexamination of pregnant women, connects all links of pregnant woman management, realizes the support for the accurate and personalized health service needs of pregnant women, provides a new technical idea for the process management of pregnant women, and realizes the refined management of pregnant women from pregnancy to postpartum. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required to be used in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0019] Figure 1 is a schematic structural diagram of the system described in the present invention; Figure 2 is a schematic flowchart of the method described in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the following will clearly and completely describe the technical solutions in the embodiments of this application with reference to the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all the embodiments. Usually, the components of the embodiments of this application described and illustrated in the accompanying drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents the selected embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative efforts fall within the scope of protection of this application.

[0021] As Figure 1 shown, this application provides a health monitoring system applied to obstetrics and gynecology that covers the whole-process data management of pregnant women, including: A data processing module, configured to use the collected pregnant woman information, family member information, and doctor information as first identity information, obtain the pregnant woman diagnosis and treatment data corresponding to the pregnant woman information, generate a QR code based on the pregnant woman diagnosis and treatment data, and store the pregnant woman diagnosis and treatment data in a database; An information query module, configured to obtain the second identity information obtained by scanning the QR code, and provide the first pregnant woman diagnosis and treatment data corresponding to the first identity information for the second user corresponding to the second identity information by determining the relationship between the second identity information and the first identity information, or provide the second pregnant woman diagnosis and treatment data associated with the pregnant woman information provided by the second user for the first user corresponding to the first identity information; A feature extraction module, configured to extract feature data based on the pregnant woman diagnosis and treatment data according to the first pregnant woman diagnosis and treatment data and / or the second pregnant woman diagnosis and treatment data, wherein the first user generates a QR code by selecting the feature data.

[0022] The system is also designed with a diagnosis and warning module for real-time health monitoring of pregnant women. This module obtains the warning threshold based on the diagnosis and treatment data of pregnant women, using means such as expert experience, manual setting, or knowledge graph. It determines whether the real-time collected data indicators are abnormal according to the warning threshold, and conducts big data analysis based on the real-time collected data indicators to judge the data trend, so as to give early warnings about the existing situation and future occurrences. For example: When a pregnant woman shows the following situations: 1. Hunger: When a pregnant woman has high blood sugar, since the blood sugar cannot enter the cells and cannot be utilized by the cells, it stimulates the hunger center in the brain to become excited, making the pregnant woman easily feel hungry, and thus resulting in a significant increase in both the number of meals and the amount of food intake. 2. Thirst: If a pregnant woman feels thirsty from time to time, she should start observing carefully for other early symptoms of gestational diabetes. 3. Easy to feel fatigued: Fatigue may be caused by diabetes or by tiredness. This early symptom of gestational diabetes needs to be evaluated in combination with other early symptoms of gestational diabetes. 4. Weight loss: If a pregnant woman has a significant increase in food intake but instead becomes thinner, she should be careful. Because when a pregnant woman has high blood sugar, the utilization of glucose in the body decreases, fat breakdown increases, protein synthesis is insufficient, and breakdown accelerates, all of which cause weight loss. If there are symptoms of polyuria, the loss of body water will further exacerbate the weight loss symptoms. Similarly, the longer the disease course, the higher the blood sugar, and the more severe the condition, the more obvious the weight loss; then the pregnant woman may develop "gestational diabetes", and the above information can be accurately predicted through the collection and feedback of data by the pregnant woman and her family members online, so as to achieve timely detection, timely reminder, and timely treatment, avoiding the occurrence of diagnostic delays caused by the incoherence, uncertainty, or information blockage of information interaction.

[0023] The system designed by the present invention realizes information intercommunication by binding pregnant women, their family members, and doctors. After binding, by annotating the diagnosis and treatment data, it can well determine the changes in the existing diagnosis and treatment data of the corresponding pregnant woman, effectively ensuring the interconnection and interoperability among pregnant women, their family members, and doctors, avoiding mutual suspicion caused by information blockage. At the same time, by generating a QR code, it facilitates information query and provides more comprehensive data support for the health monitoring of pregnant women.

[0024] Further preferably, the data processing module of the health monitoring system provided by the present invention, which is applied to the whole process data management of pregnant women in obstetrics and gynecology, is also used to associate and bind pregnant woman information, family member information, and doctor information.

[0025] Further preferably, the data processing module of the health monitoring system provided by the present invention, which is applied to the whole process data management of pregnant women in obstetrics and gynecology, is also used to associate and bind pregnant woman information with new family member information and / or new doctor information, and after annotating the relationship between the new family member information and / or new doctor information and the original information, update the first identity information.

[0026] Further preferably, the data processing module of the health monitoring system for the whole-process data management of pregnant women in the field of obstetrics and gynecology provided by the present invention is further configured to label the diagnosis and treatment data of pregnant women according to the update timestamp of the first identity information, wherein the update time, query situation, and update content of the diagnosis and treatment data of pregnant women are labeled.

[0027] In the system designed by the present invention, not only the obstetricians and gynecologists directly associated with pregnant women are considered, but also the doctors in other departments of the same hospital are considered. Since pregnant women may be involved in the joint diagnosis and treatment of multiple departments during the whole process from pregnancy to childbirth, and there is no unified standard or unified experience in the management of pregnant women in each department, it will cause problems such as diagnostic deviation and repeated occupation of medical resources for simple problems. Therefore, by updating the first identity information, the pregnant woman is associated with other doctors, and thus, based on the associated doctors and the diagnosis and treatment data of the pregnant woman, the diagnosis can be well carried out through the stored data in the database. This not only reduces the uncertainty caused by different doctors' experiences during the consultation, but also provides a large amount of data basis for obstetricians and gynecologists, thereby reducing the number of consultations, narrowing the spatial dimension of communication, and at the same time helping to timely discover potential problems contained in the data; it provides great technical support for the whole-process management of pregnant women.

[0028] Further preferably, the information query module of the health monitoring system for the whole-process data management of pregnant women in the field of obstetrics and gynecology provided by the present invention is further configured to provide the labeled diagnosis and treatment data of pregnant women for the second user, and update the diagnosis and treatment data of pregnant women after labeling the first pregnant woman's diagnosis and treatment data and the second pregnant woman's diagnosis and treatment data according to the labeling rules of the diagnosis and treatment data of pregnant women.

[0029] Further preferably, the feature extraction module of the health monitoring system for the whole-process data management of pregnant women in the field of obstetrics and gynecology provided by the present invention is further configured to extract features from the updated diagnosis and treatment data of pregnant women based on the labeled diagnosis and treatment data of pregnant women, the first pregnant woman's diagnosis and treatment data, and the second pregnant woman's diagnosis and treatment data, obtain feature data according to the labeled time tags in the data and the relevance between the update contents, and update the two-dimensional code.

[0030] Further preferably, the information query module of the health monitoring system for the whole-process data management of pregnant women in the field of obstetrics and gynecology provided by the present invention is further configured to obtain the diagnosis and treatment data not associated with the pregnant woman information provided by the second user, perform big data analysis on the diagnosis and treatment data of pregnant women, and perform secondary labeling on the diagnosis and treatment data of pregnant women according to the analysis results.

[0031] In the system designed by the present invention, the second user mentioned can be a doctor from another hospital or other relatives of the pregnant woman. Since the pregnancy and postpartum care of a pregnant woman is a long process, it is difficult to ensure the timeliness of prenatal examinations, postpartum reexaminations, etc. Or there may be situations such as consulting other hospitals during the whole process management of the pregnant woman and unexpected or random situations when going to other relatives. Then, only need to scan the QR code to summarize this part of uncertain information into this system, and the information integration can be completed, avoiding information omission. And in some cases, it can also provide technical support for doctors from other hospitals. At the same time, for the diagnosis of doctors from other hospitals, the characteristics can be sorted out and information retrieved in combination with the diagnosis of doctors in this hospital, providing further data reference for doctors in this hospital to reduce the difficulty of diagnosis and treatment.

[0032] As Figure 2 shown, the present invention provides a health monitoring method applied to the whole process data management of pregnant women in obstetrics and gynecology, which is realized through the above system, and specifically includes the following steps: S1. Collect the first identity information and pregnant woman's diagnosis and treatment data, and generate a QR code according to the pregnant woman's diagnosis and treatment data; S2. Obtain the first identity information, pregnant woman's diagnosis and treatment data, and the first characteristic data corresponding to the pregnant woman's diagnosis and treatment data by scanning the QR code; S3. Traverse the characteristics in the database according to the first characteristic data, judge the accuracy of the first characteristic data, and update the QR code according to the judgment result; S4. Scan the updated QR code to obtain the second identity information, the second pregnant woman's diagnosis and treatment data, and the second characteristic data corresponding to the second pregnant woman's diagnosis and treatment data, and traverse the characteristics in the database according to the second characteristic data to obtain the pregnant woman's diagnosis and treatment data associated with the second characteristic data; S5. Update the QR code twice according to the first characteristic data, the second characteristic data, the first identity information or the second identity information. Among them, by scanning the QR code, obtain the pregnant woman's diagnosis and treatment data corresponding to the pregnant woman's information and the database data associated with the pregnant woman's diagnosis and treatment data corresponding to the pregnant woman's information.

[0033] The health monitoring system designed by the present invention for the whole process data management of pregnant women in obstetrics and gynecology realizes the whole process data management of pregnant women during pregnancy and postpartum recovery, better connects all links of pregnant woman management, realizes the support for the accurate and personalized health service needs of pregnant women, and provides a new technical idea for the process management of pregnant women.

[0034] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combinations of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing device produce means for implementing the functions specified in one flow Figure 1 one flow or more flows and / or blocks Figure 1 or means for implementing the functions specified in one block or more blocks.

[0035] In the description of the present invention, it should be understood that the terms "first" and "second" are used for descriptive purposes only and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the present invention, "a plurality of" means two or more unless otherwise specifically defined.

[0036] Obviously, those skilled in the art can make various modifications and variations to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. A health monitoring system for obstetrics and gynecology covering the whole process of data management of pregnant women, characterized by: include: A data processing module, used to use the collected information of the pregnant woman, family members and doctors as the first identity information, and obtain the diagnosis and treatment data of the pregnant woman corresponding to the information of the pregnant woman, generate a QR code based on the diagnosis and treatment data of the pregnant woman, and store the diagnosis and treatment data of the pregnant woman in a database; an information query module, for obtaining the second identity information of the user who scans the QR code, and providing the first pregnant woman diagnosis and treatment data corresponding to the first identity information to the second user corresponding to the second identity information by determining the relationship between the second identity information and the first identity information, or providing the second pregnant woman diagnosis and treatment data associated with the pregnant woman information and provided by the second user to the first user corresponding to the first identity information; A feature extraction module is used to extract feature data based on the maternal diagnosis and treatment data, according to the first maternal diagnosis and treatment data and / or the second maternal diagnosis and treatment data, wherein the first user generates the QR code by selecting the feature data.

2. The health monitoring system for obstetrics and gynecology covering the whole process data management of pregnant women according to claim 1 is characterized by: The data processing module is also used to associate and bind the pregnant woman information, the family member information and the doctor information.

3. The health monitoring system for obstetrics and gynecology covering the whole process data management of pregnant women according to claim 2 is characterized by: The data processing module is also used to associate and bind the pregnant woman's information with new family information and / or new doctor information, and mark the relationship between the new family information and / or new doctor information and the original information, and then update the first identity information.

4. The health monitoring system for obstetrics and gynecology covering the whole process data management of pregnant women according to claim 3 is characterized by: The data processing module is further used to mark the pregnant woman's diagnosis and treatment data according to the update timestamp of the first identity information, wherein the update time, query status, and update content of the pregnant woman's diagnosis and treatment data are marked.

5. The health monitoring system for obstetrics and gynecology covering the whole process data management of pregnant women according to claim 4 is characterized by: The information query module is also used to provide the second user with the marked pregnant woman's medical data, and update the pregnant woman's medical data after marking the first pregnant woman's medical data and the second pregnant woman's medical data according to the marking rules of the pregnant woman's medical data.

6. The health monitoring system for obstetrics and gynecology covering the whole process data management of pregnant women according to claim 5 is characterized by: The feature extraction module also extracts features of the updated pregnant woman's treatment data based on the marked pregnant woman's treatment data, the first pregnant woman's treatment data and the second pregnant woman's treatment data, according to the time tags marked in the data and the correlation between the updated contents, obtains the feature data, and updates the QR code.

7. The health monitoring system for obstetrics and gynecology covering the whole process data management of pregnant women according to claim 6 is characterized by: The information query module is also used to obtain the diagnosis and treatment data provided by the second user that is not associated with the pregnant woman's information, perform big data analysis on the diagnosis and treatment data of the pregnant woman, and perform secondary labeling on the diagnosis and treatment data of the pregnant woman according to the analysis results.

8. The health monitoring system for obstetrics and gynecology covering the whole process data management of pregnant women according to claim 7 is characterized by: The health monitoring method implemented by the system includes the following steps: S1. Collecting the first identity information and the diagnosis and treatment data of the pregnant woman, and generating a QR code according to the diagnosis and treatment data of the pregnant woman; S2. Obtaining the first identity information and the pregnant woman's diagnosis and treatment data, and the first characteristic data corresponding to the pregnant woman's diagnosis and treatment data by scanning the QR code; S3. Perform feature traversal in the database according to the first feature data, determine the accuracy of the first feature data, and update the QR code according to the determination result; S4, scanning the updated QR code, obtaining the second identity information and the second pregnant woman's diagnosis and treatment data, and the second characteristic number corresponding to the second pregnant woman's diagnosis and treatment data, and performing characteristic traversal in the database according to the second characteristic data to obtain the pregnant woman's diagnosis and treatment data associated with the second characteristic number; S5, performing a second update on the QR code based on the first characteristic data, the second characteristic number, the first identity information or the second identity information, wherein, by scanning the QR code, the pregnant woman's diagnosis and treatment data corresponding to the pregnant woman's information and the database data associated with the pregnant woman's diagnosis and treatment data corresponding to the pregnant woman's information are obtained.

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