CN112053749A - BPD follow-up information system based on multi-source data acquisition and integration - Google Patents

Abstract

The invention relates to and discloses a BPD follow-up information system based on multi-source data acquisition and integration, wherein the BPD follow-up information system operates based on a computer network in a hospital, the BPD follow-up information system is arranged in an internal network of the hospital in a B/S (browser/server) architecture, and an application server and a database are positioned in the internal network of the hospital. The BPD follow-up visit information system based on multi-source data acquisition and integration fully utilizes the data source integration function to integrate data in a hospital information system, data self-declared by a child family and data to be input for medical care, so as to form a data set concerned by the completed BPD follow-up visit. The system is beneficial to comprehensively mastering clinical multi-modal data related to BPD disease occurrence and development in follow-up visits for medical care, and is displayed and applied in a centralized program, so that the nursing of the sick children in the whole period is promoted, and compared with the traditional outpatient service or telephone follow-up visits, the system greatly saves human resources and effectively improves the reliability.

Description

A BPD follow-up information system based on multi-source data collection and integration

technical field

The invention relates to the technical field of BPD data collection, in particular to a BPD follow-up information system based on multi-source data collection and integration.

Background technique

Bronchopulmonary dysplasia (BPD) is a chronic disease of the respiratory system in children and is the most common respiratory complication in premature infants. During the treatment of premature infants, there are many factors related to BPD, including gestational age, intrauterine growth retardation, lack of pulmonary surfactant, maternal condition during pregnancy, prenatal and postpartum infection, amniotic fluid or meconium aspiration and other medical history and malnutrition. , growth and developmental and psychomotor retardation, pulmonary hypertension and other clinical manifestations, as well as oxygen therapy, long-term positive pressure ventilation, antibiotics and hormone use during hospitalization of premature infants.

Children with BPD are often hospitalized during the preterm period. After undergoing initial treatment such as inpatient oxygen therapy, mechanical ventilation, and anti-infective therapy, they need home oxygen therapy after discharge and face complicated home care such as nasal feeding due to swallowing problems. . The family living environment, smoking of family members, air conditions in the place of residence, and vaccination of children all need to be fully evaluated. Such children need long-term outpatient follow-up and guidance after treatment in the neonatal period.

BPD has an important impact on the respiratory, nervous and other systems of children, seriously affects the quality of life of children, and causes a heavy economic burden on families and society. Based on the complexity and multifactorial nature of the pathogenesis of BPD, and the needs of BPD children for coordinated follow-up with doctors and nurses, a system that can integrate children’s in-hospital and out-of-hospital data to achieve good collection, integration and presentation of multi-dimensional data is helpful. It can reduce the workload of data query in patient follow-up and management, and realize data access and use according to the needs of follow-up.

When an independent BPD patient visits a doctor, the sources of disease-related data include the patient’s clinical manifestations and physical examination findings recorded in the hospital information system; the inspection report recorded in the hospital information system, and the doctor’s diagnosis; Information obtained from interviews or telephone communications; written records of patient visits in other hospitals, etc. The traditional follow-up is based on a blank form established in advance by doctors and nurses, which specifies the items to be collected for follow-up of BPD patients. This method requires a lot of manual time for review and registration, and further input into the computer is required for statistics and data application. There are some system designs of information portals, with patients as the main index, and establishing a flow display based on patients' medical records, but the design of the "information portal" is limited to the data related to medical visits in the hospital. Information is scattered in various directories of the system and cannot be integrated, such as:

1. The patient's case is stored in the hospital's HIS (Hospital Information System) system; 2. Imaging examination reports, such as chest X-ray reports, are stored in the PACS (Picture Archiving and Communication Systems, medical image management system) system; 3. . Laboratory test reports such as urine test and blood test reports are stored in the LIS (Laboratory Information System, laboratory/test information system) system. Patient data are stored in different server systems, which are highly dispersed. Therefore, it is necessary to establish a special treatment system for patients with bronchopulmonary dysplasia (BPD), as well as to increase the patient follow-up system, and the family members of the patients should fill in the report by themselves. When the child is discharged from the hospital, the parents scan the official account or the QR code of the mini program provided by the hospital, and the doctor in the hospital will set the settings according to their needs, such as half a month, one month, two months, etc. to push a WeChat public account at regular intervals. Or the follow-up reminder and follow-up form on the applet, and the family members of the patient fill in through the WeChat public account, the applet, or the browser of the PC or mobile phone.

SUMMARY OF THE INVENTION

The present invention provides a BPD follow-up information system based on multi-source data collection and integration. The present invention improves the traditional design of written forms for collecting relevant follow-up data of BPD children.

The present invention provides the following technical solutions: a BPD follow-up information system based on multi-source data collection and integration, the BPD follow-up information system is operated based on a computer network in a hospital, and the BPD follow-up information system is arranged in the hospital with a B/S structure The network, application server and database are located in the hospital intranet. The computer terminal in the hospital directly accesses the application server through the desktop browser to apply the system to carry out work. The application server implements the mobile application notification service through the firewall and front-end computer. communication and data exchange with the patient's mobile terminal;

The BPD follow-up information system includes a login and authority interface. The login interface is a patient list, and is divided into three modules according to the needs of the follow-up stage of BPD. The three modules are: patient admissions module, in-hospital treatment module, Post-discharge follow-up module;

The patient admission module includes the following information: basic information, birth history, maternal history, family environment, family history, physical examination on admission;

The in-hospital treatment module includes the following information: in-hospital oxygen therapy, pulmonary surfactant usage, mechanical ventilation, antibiotic usage, and inspections;

The post-discharge follow-up module includes the following information: family living environment and smoking status of co-residents, vaccination status, daily medication status, respiratory assessment, respiratory tract infection, home oxygen therapy, nasal feeding, nutritional assessment, and follow-up examinations condition, development;

Each module consists of several categories, and under each category are the names of several related data variables set by the medical staff according to the follow-up needs.

Preferably, the several categories are standardized and defined, and are classified and set according to variable characteristics; they are divided into numerical variables with specific numerical values, such as age, weight, height, etc.; Boolean variables are expressed as yes/no or yes/no, Such as oxygen inhalation, the use of nitric oxide, etc.; the enumeration variable enumerates all possible values of the variable according to the characteristics of the variable, and displays as multiple choices of preset values, such as the cause of premature birth, the enumeration is premature rupture of membranes, uterine Infection, fetal distress, etc.

Preferably, the system regularly performs scheduled tasks every day, and by retrieving the patient diagnosis list in the hospital database, new patients who meet the BPD diagnosis are enrolled, and the enrolled patients are entered into the follow-up patient list.

Preferably, the group data is automatically collected under the planned task, and according to the identification information of the grouped patients, the system obtains from the hospital database the corresponding variables of the two modules: the condition of admission and the condition of in-hospital treatment. Data, the system extracts, standardizes, verifies and stores the data that has been structured and stored in the hospital information system according to the data source, and performs the content stored in the hospital information system in unstructured ways such as natural language text. Natural language analysis, according to the variable setting, extract the corresponding value.

Preferably, the system sends a questionnaire to the user, and collects patient data by filling in the user's data. The questionnaire is set in the system by the medical staff responsible for follow-up. The time is automatically pushed to the patient, and the form can also be manually sent to a specific user; after receiving the form, the patient can fill in the form through the WeChat public account, and the data filled in and submitted by the patient directly enters the system and is displayed to the follow-up medical care. Confirm or correct the situation.

Preferably, after the login interface is entered into a single patient, it is set as the electronic medical record report form eCRF according to the arrangement of the clinical research team.

The BPD follow-up information system based on multi-source data collection and integration has the following beneficial effects:

1. According to the needs of BPD follow-up, the follow-up table designed by medical care is used to integrate relevant clinical data from the hospital information system.

2. Integrate the data required for follow-up from the hospital information system, the patient's family members' self-reporting, and the medical and nursing input to avoid the second entry of data collection.

3. Provide an interface for data display and application, and support embedding in various application systems.

Make full use of the data source integration function to integrate the data in the hospital information system, the data reported by the children's family, and the data that medical care needs to enter, to form a data set that is concerned by the completed BPD follow-up, which is beneficial for medical and nursing to fully grasp during follow-up. Clinical multimodal data related to the occurrence and development of BPD disease are displayed and used in a centralized program, thereby promoting the full-cycle care of children and greatly saving human resources and effective compared with traditional outpatient or telephone follow-up methods. Improve reliability.

Description of drawings

Fig. 1 is the data integration system diagram of the present invention;

2 is a system architecture diagram of the present invention;

FIG. 3 is a diagram of a doctor-patient interaction mode according to the present invention.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of 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.

Please refer to Figure 1-3, a BPD follow-up information system based on multi-source data collection and integration. The BPD follow-up information system runs on the computer network in the hospital. The BPD follow-up information system is arranged in the hospital's internal network in a B/S structure, and the application server And the database is located in the hospital intranet, the computer terminal in the hospital directly accesses the application server through the desktop browser to apply the system to work, the application server implements the mobile application notification service through the firewall and the front-end computer, and communicates with the patients with the help of the applet embedded in WeChat or the public account. Mobile communication and data exchange;

The BPD follow-up information system includes a login and permission interface. The interface after login is the patient list. After the login interface, if you enter a single patient, it will be set as the electronic medical record report form (eCRF) according to the arrangement of the clinical research team, and will be classified according to the needs of the follow-up stage of BPD. There are three modules, and the three modules are: patient admissions module, in-hospital treatment module, and post-discharge follow-up module;

The patient admission module includes the following: basic information, birth history, maternal history, family environment, family history, physical examination on admission;

The in-hospital treatment module includes the following: in-hospital oxygen therapy, pulmonary surfactant usage, mechanical ventilation, antibiotic usage, and inspections;

The post-discharge follow-up module includes the following: family living environment and smoking status of co-residents, vaccination status, daily medication status, respiratory assessment, respiratory tract infection, home oxygen therapy, nasal feeding, nutritional assessment, and inspections during follow-up , development;

Each module consists of several categories, and under each category are the names of several related data variables set by the medical staff according to the follow-up needs.

Several categories have been standardized and defined, and they are classified and set according to the characteristics of the variables; they are divided into numerical variables with specific values, such as age, weight, height, etc.; Boolean variables are expressed as yes/no or yes/no, such as oxygen inhalation, a The use of nitric oxide, etc.; the enumerated variable enumerates all possible values of the variable according to the characteristics of the variable, and displays it as multiple choices of preset values, such as the cause of premature birth, which is enumerated as premature rupture of membranes, intrauterine infection, and fetal distress. Wait;

Enrollment of BPD patients: The system performs scheduled tasks every day. By retrieving the patient diagnosis list in the hospital database, new patients who meet the BPD diagnosis are enrolled, and the enrolled patients will enter the follow-up patient list;

Production of related content for diagnosis, treatment and follow-up: For the enrolled data, the data collection under the planned task is carried out automatically. According to the identification information of the enrolled patients, the system obtains the variables of the two modules of the admission status and in-hospital treatment status from the hospital database. For the corresponding data, the system extracts, standardizes, verifies and stores the data that has been structured and stored in the hospital information system according to the data source. content, perform natural language analysis, and extract corresponding values according to variable settings;

Acquisition of patient self-filled data: The system sends a questionnaire to the user, and collects patient data by filling in the user’s data. The questionnaire is set in the system by the medical staff in charge of follow-up, and the data to be filled in by the patient is selected from the follow-up module to set The follow-up time is automatically pushed to the patient, and the form can also be manually sent to a specific user; after receiving the form, the patient can fill in the form through the WeChat public account, and the data filled in and submitted by the patient directly enters the system and is displayed to the follow-up doctor, and the doctor can Confirm or correct according to the actual situation.

Implementation of system data management:

1. The medical staff responsible for the follow-up of BPD children can log in to the system, locate the patients who need follow-up according to the search, and click the patient information row to enter the patient data interface;

2. The data interface is divided into a left navigation bar and a right content bar. The navigation bar is a tree structure, and is divided into multi-level directories according to system modules. The first-level directory is the follow-up stage, including admission, in-hospital treatment, and after discharge. Follow-up, the first-level category is the second-level category, and the admission status includes basic information, birth history, maternal history, family environment, family history, physical examination on admission and other second-level categories. Click the module name in the second-level category. In the content column, the specific content contained in the module is displayed. The content of the tree structure and hierarchical directory is determined in advance by subject experts in neonatology, respiratory department, and pediatric nursing according to the follow-up requirements of BPD;

3. According to the data source set by the system, the data that has been obtained from the hospital information system and the data that has been reported by the patient's family have been automatically filled in. The system supports manual verification of the data automatically obtained by the system, and the original data is checked for suspicious data. And support manual correction, the data that has been manually entered and rewritten is marked, and the data that cannot be automatically obtained or the data that does not exist can be supplemented by manual entry and filling;

4. Data retrieval and application, the system supports retrieval of all variable names, and supports combined retrieval under various Boolean logics. The retrieval results can be displayed on a new page and further exported. The system also supports the storage and retrieval of retrieval formulas. A review of historical retrieval.

The implementation of the system to obtain the filling data from the patient's family:

1. In the system setting interface, support the selection of some variables (the variables that doctors and nurses think can be handed over to the patient to fill in the report, that is, the data that needs to be collected directly from the patient's family), and build a follow-up questionnaire;

2. In the system setting interface, support the periodic setting of the issuance of the follow-up questionnaire. The setting method is the cycle after discharge, such as 1 month after discharge and 3 months after discharge; it can also be set as the child is 1 year old, 2 years old, etc.;

3. On the follow-up interface, the system supports browsing the list of patients who have entered the follow-up cycle. On this interface, medical staff can manually select a follow-up form and issue a follow-up form to patients who need follow-up;

4. The patient should pay attention to the hospital's WeChat public account when joining the group. When the system distributes the questionnaire, the questionnaire will be directly pushed to the patients who have followed the official account through the WeChat public account, and the patient will directly call the follow-up form on the public account interface. After completing the filling in the follow-up form, the patient saves the data and uploads it to the system.

In summary:

The BPD follow-up information system based on multi-source data collection and integration makes full use of the data source integration function to integrate the data in the hospital information system, the data reported by the patient's family, and the data that needs to be entered by medical care to form a completed BPD. Follow-up datasets of interest. It is helpful for medical staff to fully grasp the clinical multimodal data related to the occurrence and development of BPD disease during follow-up, and to display and apply it in a centralized procedure, thereby promoting the full-cycle care of children and making it easier than traditional outpatient or telephone follow-up. The method greatly saves human resources and effectively improves reliability.

It should be noted that, in this document, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any relationship between these entities or operations. any such actual relationship or sequence exists. Moreover, the terms "comprising", "comprising" or any other variation thereof are intended to encompass a non-exclusive inclusion such that a process, method, article or device that includes a list of elements includes not only those elements, but also includes not explicitly listed or other elements inherent to such a process, method, article or apparatus.

Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, and substitutions can be made in these embodiments without departing from the principle and spirit of the invention and modifications, the scope of the present invention is defined by the appended claims and their equivalents.

Claims (6)

1. A BPD follow-up information system based on multi-source data acquisition and integration is characterized in that: the BPD follow-up information system operates based on a computer network in a hospital, the BPD follow-up information system is arranged in a network in the hospital by a B/S framework, an application server and a database are positioned in a hospital internal network, a computer terminal in the hospital directly accesses the application server through a desktop browser to apply the system to carry out work, the application server implements mobile application notification service through a firewall and a front-end processor, and communication and data exchange between a public number and a mobile end of a patient are carried out by means of an embedded micro-message applet;

the BPD follow-up visit information system comprises a login interface and an authority interface, wherein the interface after login is a patient list, and is divided into three modules according to the follow-up visit stage requirements of the BPD, and the three modules are respectively: a patient admission condition module, a hospital treatment condition module and a post-discharge follow-up condition module;

the patient admission status module includes the following information content: basic information, birth history, maternal pregnancy history, family environment, family history and physical examination at the time of admission;

the hospitalization status module includes the following information: in hospital oxygen therapy situations, pulmonary surfactant use, mechanical ventilation situations, antibiotic use, test examinations;

the post-discharge follow-up condition module comprises the following information contents: smoking condition of family living environment and co-resident, vaccination condition, daily medication condition, respiratory evaluation, respiratory infection condition, home oxygen therapy condition, nasal feeding condition, nutrition evaluation, check condition in follow-up visit, and development condition;

each module is composed of a plurality of categories, and a plurality of related data variable names are set for medical care according to follow-up visit requirements under each category.

2. The BPD follow-up information system based on multi-source data collection and integration according to claim 1, wherein: the plurality of categories are subjected to standardized definition and are classified and set according to variable characteristics; the numerical variables are specific numerical values such as age, weight, height and the like; boolean variables are expressed as yes/no or presence/absence, such as oxygen uptake, use of nitric oxide, and the like; the enumeration type variable enumerates all possible values of the variable according to the variable characteristics, and shows that the enumeration type variable is a multi-choice of preset values, such as premature birth reasons, premature rupture of membranes, intrauterine infection, fetal distress and the like.

3. The BPD follow-up information system based on multi-source data collection and integration according to claim 1, wherein: the system carries out planning tasks at regular time every day, new patients meeting BPD diagnosis are grouped by retrieving a patient diagnosis list in a hospital database, and the grouped patients enter a follow-up patient list.

4. The BPD follow-up information system based on multi-source data collection and integration according to claim 3, wherein: the system acquires data corresponding to variables of two modules, namely the condition of admission and the treatment condition of the hospital from a hospital database according to the identification information of patients in the group, extracts, normalizes, checks and stores the data which are structurally stored in the hospital information system according to the data source, analyzes natural language of the content which is stored in the hospital information system in an unstructured mode such as natural language text, and extracts the corresponding value according to the variable setting.

5. The BPD follow-up information system based on multi-source data collection and integration according to claim 1, wherein: the system sends a questionnaire to a user, collects patient data in a mode filled by the user, the questionnaire is set in the system by medical personnel in charge of follow-up visit, selects data required to be filled by the patient from a follow-up visit module, automatically pushes the data to the patient at set follow-up visit time, and can also manually select a sending form to a specific user; after receiving the form, the patient can fill the form through the WeChat public number, the data filled and submitted by the patient directly enters the system and is displayed for follow-up medical care, and the medical care can confirm or correct according to the actual situation.

6. The BPD follow-up information system based on multi-source data collection and integration according to claim 1, wherein: after logging in the interface, a single patient is entered, and an electronic medical record report form (eCRF) is set according to the arrangement of a clinical research team.

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