Element data management method and system of intelligent medical center

Abstract

The invention relates to the technical field of data management, and discloses an element data management method and system for an intelligent medical center, and the method comprises the steps: obtaining each element data item of the intelligent medical center, dividing the element data item into a business carrier and a business object through analysis, carrying out the logic analysis of the business carrier and the business object, and carrying out the management of element data. The method comprises the following steps: establishing a multi-level management framework, formulating an acquisition scheme of a business carrier and a business object according to a management standard, establishing a corresponding data acquisition channel, obtaining original data through the data acquisition channel, carrying out format conversion, and importing the converted data into the management framework so as to realize element data management of the intelligent medical center. According to the method, the refinement level of data classification and management is improved, real-time acquisition and dynamic management of data are realized, efficient operation and accurate decision of the smart medical center are effectively supported, and the problems of low efficiency and insufficient accuracy of constructing a data management system by the smart medical center in the prior art are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of data management, and in particular to an element data management method and system for a smart medical center. Background Art

[0002] Smart medical centers face multiple types of factor data items and multi-level structures of each factor data item. Traditional management methods make it difficult to distinguish between business carriers and business objects, resulting in unclear data classification and chaotic management. The hierarchical relationship between different business carriers or business objects also makes it difficult for existing management models to fully support the construction and management of multi-level structures.

[0003] Moreover, different smart medical centers need to manage different data items, which means that different smart medical centers need to start from scratch when building their own data management systems. It is difficult to ensure the efficiency and accuracy of the data management system built by each smart medical center. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system for managing element data of a smart medical center, aiming to solve the problem of low efficiency and insufficient accuracy in constructing a data management system for a smart medical center in the prior art.

[0005] The present invention is implemented in this way. In a first aspect, the present invention provides a method for managing element data of a smart medical center, comprising: Acquire several element data items that the smart medical center needs to manage, analyze the business attributes and uses of each element data item, and divide each element data item into business carriers and business objects according to the analysis results; Performing a logical analysis on each of the business carriers to obtain a hierarchical relationship between each of the business carriers, and constructing a multi-level structure for each of the business carriers according to the hierarchical relationship between each of the business carriers to obtain a business carrier management framework; Performing a logical analysis on each of the business objects to obtain a hierarchical relationship between each of the business objects, and constructing a multi-level structure for each of the business objects according to the hierarchical relationship between each of the business objects to obtain a business object management framework; Acquire the management standards currently implemented by the smart medical center, and perform comparative analysis on the business carrier management framework and the business object management framework according to the management standards to obtain a business carrier acquisition plan corresponding to the business carrier management framework and a business object acquisition plan corresponding to the business object management framework; According to the business carrier acquisition scheme and the business object acquisition scheme, respectively constructing a business carrier data acquisition channel corresponding to the business carrier management framework and a business object data acquisition channel corresponding to the business object management framework; According to the business carrier data acquisition channel, the original data of the corresponding factor data item is obtained, the original data is converted into business carrier data and substituted into the business carrier management framework; according to the business object data acquisition channel, the original data of the corresponding factor data item is obtained, the original data is converted into business object data and substituted into the business object management framework, so as to achieve the goal of production factor data management of the smart medical center.

[0006] In a second aspect, the present invention provides an element data management device for a smart medical center, which is used to implement an element data management method for a smart medical center as described in any one of the first aspects.

[0007] The present invention provides a method for managing element data of a smart medical center, which has the following beneficial effects: The present invention obtains various element data items of the smart medical center, and divides them into business carriers and business objects through analysis, performs logical analysis on the business carriers and business objects respectively, constructs a multi-level management framework, formulates collection plans for business carriers and business objects according to management standards, establishes corresponding data collection channels, obtains original data through the data collection channel and performs format conversion, and imports the converted data into the management framework to realize element data management of the smart medical center. This method improves the level of refinement of data classification and management, realizes real-time data collection and dynamic management, effectively supports the efficient operation and accurate decision-making of the smart medical center, and solves the problem of low efficiency and insufficient accuracy in constructing a data management system for the smart medical center in the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] Figure 1 It is a schematic diagram of the steps of an element data management method for a smart medical center provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0009] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0010] The implementation of the present invention is described in detail below in conjunction with specific embodiments.

[0011] Reference Figure 1 As shown, a preferred embodiment of the present invention is provided.

[0012] In a first aspect, the present invention provides a method for managing element data of a smart medical center, comprising: S1: obtaining several element data items that the smart medical center needs to manage, analyzing the business attributes and uses of each element data item, and dividing each element data item into business carriers and business objects according to the analysis results; S2: performing a logical analysis on each of the business carriers to obtain a hierarchical relationship between each of the business carriers, and constructing a multi-level structure for each of the business carriers according to the hierarchical relationship between each of the business carriers to obtain a business carrier management framework; S3: Performing a logical analysis on each of the business objects to obtain a hierarchical relationship between each of the business objects, and constructing a multi-level structure for each of the business objects according to the hierarchical relationship between each of the business objects to obtain a business object management framework; S4: obtaining the management standard currently implemented by the smart medical center, and performing comparative analysis on the business carrier management framework and the business object management framework according to the management standard, to obtain a business carrier collection scheme corresponding to the business carrier management framework and a business object collection scheme corresponding to the business object management framework; S5: constructing a business carrier data collection channel corresponding to the business carrier management framework and a business object data collection channel corresponding to the business object management framework respectively according to the business carrier collection scheme and the business object collection scheme; S6: Obtain the original data of the corresponding factor data item according to the business carrier data acquisition channel, convert the original data into business carrier data and substitute it into the business carrier management framework; obtain the original data of the corresponding factor data item according to the business object data acquisition channel, convert the original data into business object data and substitute it into the business object management framework to achieve the goal of production factor data management of the smart medical center.

[0013] Specifically, in step S1 of the embodiment provided by the present invention, through the management system, database or demand document of the smart medical center, identify and obtain various element data items that need to be managed, such as drug information, material information, equipment information, diagnosis and treatment subjects, patient stakeholders, patient medical information, surgical information, test information, business domain, matter domain, work matters, etc., summarize these data items, and establish a preliminary list of element data items to ensure that all business-related data requirements in the smart medical center are covered.

[0014] More specifically, attribute analysis is performed on each element data item, including: business attributes (such as patient data, financial data, equipment data, etc.), data types (such as text, numbers, dates, etc.). Through attribute analysis, we can deeply understand the position and characteristics of each data item in the business, and provide a basis for subsequent classification.

[0015] More specifically, further analyze the purpose of each data item in a specific business scenario. For example, patient medical information is mainly used for medical record management and diagnosis and treatment decision support, and equipment status data is used for maintenance management and emergency response. Usage analysis can clarify the actual application scenario of each data item and help distinguish the importance and priority of the data.

[0016] More specifically, based on business attributes and uses, each element data item is divided into "business carrier" and "business object": Business carrier: core resource data items that undertake major business functions (such as drugs, materials, equipment, diagnosis and treatment subjects, spatial grids, business work locations, etc.); Business object: content data items targeted at specific business functions (such as human body structure, symptoms and signs, clinical samples, observation items, basic attributes, etc.). This division helps to sort out the business structure, make data management clearer, and ensure that important data items are correctly incorporated into the business management framework.

[0017] It is understandable that dividing data items into business carriers and business objects makes the data structure more hierarchical, helps to position various data items in the business more clearly, and thus optimizes data management. Classification management of data allows business carriers and business objects to have clear division of labor in subsequent analysis and processing, thereby improving the accuracy and response speed of data analysis and meeting the rapid response needs of different business needs.

[0018] Specifically, in step S2 of the embodiment provided by the present invention, the logical structure of each business carrier (such as drugs, materials, equipment, diagnosis and treatment subjects, spatial grids, business work locations, etc.) is deeply analyzed to clarify the role and function of each carrier in the business process, determine the association relationship between the carriers (such as superior-subordinate relationships, interdependent relationships), and analyze the impact of these relationships on business operations and management. According to the results of the logical analysis, the hierarchical relationship of the business carrier is constructed. For example: the medical center can be used as the top-level carrier, and the medical center includes different diagnosis and treatment subjects (such as internal medicine and surgery). The diagnosis and treatment subjects are associated with business work locations, and the diagnosis and treatment subjects are associated with doctor teams, nursing teams, materials and equipment, etc. This hierarchical relationship provides a basis for the construction of a multi-level management framework for business carriers, making the responsibilities and data management content of each layer clearer.

[0019] More specifically, based on the hierarchical relationship of business carriers, a multi-level management framework is gradually built, including: top-level framework: managing the business work locations of global business carriers, such as departments, etc.; middle level: managing group carriers within each department, such as medical teams, diagnostic equipment, etc.; bottom-level framework: managing data or sub-carriers within each medical team, such as doctors, nurses, etc. By building a multi-level framework, the business carriers are more logically standardized and support hierarchical management of data.

[0020] More specifically, each business carrier is incorporated into the management framework according to a hierarchical relationship, and finally a complete business carrier management framework is formed, which can be used as the basic structure for business data management and maintenance, and for subsequent data collection, updating and analysis functions.

[0021] It is understandable that through the establishment of hierarchical relationships, the business carrier management framework forms a hierarchical management structure, which is convenient for smart medical centers to distinguish the primary and secondary in data management, reasonably allocate resources, and simplify management processes. The multi-level framework makes data query and application more accurate, and can query data at specific levels step by step as needed to avoid unnecessary data redundancy and improve data utilization efficiency. Each level of the management framework has clear business carriers and responsibility divisions, which speeds up the response to business needs and can quickly match the corresponding management modules to improve the smoothness of business operations. The hierarchical structure has good adaptability and scalability. In the future, new business carrier levels can be added to the framework, or the hierarchical relationship can be adjusted to adapt to new business needs or management models.

[0022] Specifically, in step S3 of the embodiment provided by the present invention, a logical analysis of the attributes and relationships of each business object (such as human body structure, symptoms and signs, clinical samples, observation items, basic attributes, etc.) is performed to clarify the specific roles and associations of these objects in the business process, and the relationship between business objects is analyzed in detail, including dependency, subordination and complementary relationships, to ensure that the association logic between data is clear.

[0023] More specifically, based on logical analysis, the hierarchical structure of business objects is sorted out. For example, the top layer can be "patient information", which is the object of central management. The lower layers can include "medical records", "diagnosis and treatment history", "examination results" and other information. The lower layers can include specific "drug records", "treatment plans", "diagnosis reports", etc. The hierarchical relationship should reflect the importance and dependency of the data, so as to determine which objects belong to the core data and which are secondary or dependent data.

[0024] More specifically, based on the hierarchical relationship of business objects, a multi-level structural framework of business objects is gradually constructed, including: top-level framework: managing core business objects, such as patient information and comprehensive medical records, etc., middle level: containing detailed secondary business objects, such as different types of medical records and examination data, bottom-level framework: including the most detailed data items, such as the specific dosage of drugs, the results of a single examination, etc. The construction of a multi-level framework makes the management of business objects more systematic and hierarchical.

[0025] More specifically, according to the hierarchical relationship of each business object, it is incorporated into a multi-level structure framework to form a complete business object management framework, which supports data collection, storage, analysis and updating, and serves as the basis for the smart medical center to manage specific data content.

[0026] It is understandable that the construction of hierarchical relationships makes the management of business objects more refined. Data content at different levels can be managed in a targeted manner according to business needs, reducing information redundancy. The hierarchical structure makes data query and processing more efficient, and can be quickly located according to hierarchical targets, reducing the time required for global search, and improving the speed of data processing. Through logical analysis and hierarchical construction, the data association relationship of each layer of business objects is accurate, reducing data conflicts and redundancy, and ensuring data consistency and accuracy. The multi-level framework of business objects is flexible and adjustable. Certain objects can be added or subtracted according to changes in business needs, or hierarchical relationships can be adjusted to meet the needs of the development of smart medical centers. By building a detailed business object framework, it can cope with complex medical business scenarios and data needs, improve the adaptability of smart medical centers to different business scenarios, and ensure the long-term stability and efficient operation of the system.

[0027] Specifically, in step S4 of the embodiment provided by the present invention, the existing management standards, specifications and related documents (such as data management specifications, collection standards, security compliance requirements, etc.) of the smart medical center are collected to ensure that the management standards cover requirements for data collection, storage, security, use, and updating, so as to provide a complete reference for subsequent comparative analysis.

[0028] More specifically, each requirement in the management standards is compared with the business carrier management framework one by one, and it is analyzed which standards are applicable to the collection of business carriers. The specific requirements that each business carrier needs to follow during the collection process (such as collection frequency, data accuracy, real-time, security, etc.) are identified and matched with each level in the framework. The constraints of the management standards on the collection of business carriers are determined, and a business carrier collection plan that meets the management standards is formed.

[0029] More specifically, based on the comparative analysis results, a business carrier collection plan is designed to clarify the specific collection process, data format, collection frequency and data source, and to refine the collection specifications at each level in the collection plan to ensure that the plan is consistent with the management standards. For example, core business carriers (such as equipment status) may require higher real-time performance, while secondary business carriers can adopt a lower collection frequency.

[0030] More specifically, the management standards are compared with the data items in the business object management framework one by one, and the special needs of each business object in the collection process are analyzed in detail. The data confidentiality, accuracy, update frequency and other requirements of each business object in the collection are determined, and classified according to the management standards. The specific collection requirements of the management standards for business objects are analyzed to ensure that the collection methods of different types of business objects meet the management standards.

[0031] More specifically, based on the results of the comparative analysis, a collection plan suitable for the business object is formulated, which includes processes such as collection methods, data cleaning, storage and use. The plan clearly specifies the collection details for each business object. For example, patient information and medical record data may require high-precision and high-frequency collection, while financial data can be collected on a regular basis. Data security and permission control should be added to the collection plan to ensure confidentiality and security that meets management standards.

[0032] It is understandable that by comparing with management standards, the collection plans of business carriers and business objects are more standardized, which helps to improve the compliance and consistency of data collection and ensure that the collection of various data items complies with industry standards and the requirements of smart medical centers. The collection plan is based on management standards and framework design, which can ensure the accuracy of data at every stage of collection, reduce erroneous collection, improve data quality, and provide reliable data support for business management. The collection plan strictly implements the data security requirements in the management standards, especially for data involving patient privacy and sensitive information, to ensure the security of data during collection, storage and use. The collection plan design supports flexible adjustment, and can flexibly adjust the collection frequency and content according to changes in the business needs of the smart medical center, so that the collection plan has high adaptability and scalability.

[0033] Specifically, in step S5 of the embodiment provided by the present invention, according to the formulated business carrier collection plan, the hierarchical structure of the business carriers is sorted out, and the collection requirements and data types (such as equipment status, department operation, etc.) of each level are clarified to determine the specific data items that need to be collected and the collection frequency.

[0034] More specifically, appropriate technical means should be selected to build collection channels. For example, the Internet of Things (IoT) technology can be used to collect status information of medical equipment in real time, or department operation data can be extracted from the business system through the API interface.

[0035] More specifically, the levels of the data collection channel are designed according to the hierarchical structure. The top level is responsible for global data collection (such as equipment status), the middle level is responsible for secondary data (such as staff scheduling, resource allocation, etc.), and the bottom level is responsible for refined data (such as equipment operating parameters, doctors' daily operation records, etc.).

[0036] More specifically, to ensure that the collected business carrier data can flow from each collection point to the central data management system, a data buffer can be designed to process data with higher real-time requirements; for non-real-time data, a batch upload mechanism can be designed.

[0037] More specifically, the monitoring function is integrated into the collection channel to monitor the status of data collection in real time, detect data loss or abnormalities in a timely manner, ensure the stable operation of the collection process through data logs and status feedback, and after the channel is built, test to verify the accuracy and stability of the collection channel. According to the test results, the collection mechanism is optimized, such as adjusting the collection frequency and data caching method.

[0038] More specifically, according to the business object collection plan, organize the collection requirements of each type of business object (such as patient information, medical record data, test results, etc.) to ensure that the data format, accuracy, confidentiality and other requirements of each object are clear.

[0039] More specifically, different collection methods are used for different types of business objects. For example, patient information can be extracted from the database through the medical management system, medical record data can be extracted using the electronic medical record system (EMR) interface, and examination results can be collected through the image processing system.

[0040] More specifically, for business object data, different collection paths are designed. High-frequency data (such as patient medical records and examination reports) can be designed as real-time synchronous collection channels, while low-frequency data (such as annual statistics and historical records) can use periodic collection channels.

[0041] More specifically, data encryption and secure transmission mechanisms should be added to the collection channel to ensure the security of patient privacy information and sensitive data during the collection and transmission process. SSL encryption, VPN and other technologies can be used to ensure data security.

[0042] It can be understood that by building collection channels that adapt to different business needs, it is ensured that business carriers and business object data can be collected and transmitted in real time and accurately, thereby improving the efficiency of overall business operations. The hierarchical design of the collection channel enables data to be collected in a standardized manner from different levels and types of businesses, providing a good data foundation for subsequent data management, analysis and application. The flexibility and modular design of the collection channel give the system strong scalability, and new data collection nodes can be added or collection strategies can be adjusted according to business needs to cope with future business changes.

[0043] Specifically, in step S6 of the embodiment provided by the present invention, real-time collection data of original data items such as equipment, resources, personnel and environment are obtained through a business carrier data collection channel (such as an IoT device interface, a management system API, etc.).

[0044] More specifically, the original data items are converted into the standard format required by the business carrier management framework, the converted business carrier data are imported into the business carrier management framework, and are classified and stored according to the hierarchical structure of the management framework. For example, data such as equipment status and resource occupancy are classified into the resource management layer, and personnel scheduling and department information are classified into the personnel management layer.

[0045] More specifically, an update mechanism is set in the management framework to dynamically store and update the service carrier data in real time according to the update frequency of the acquisition channel to ensure the timeliness and accuracy of the data.

[0046] More specifically, the original data of patients, medical records, test results and other data items are obtained through business object data collection channels (such as electronic medical record systems, medical management databases, etc.), and the original data is cleaned and standardized to ensure that all data items meet the format requirements of the business object management framework, delete or correct abnormal values ​​and missing items, and perform data format conversion (such as time format unification, numerical normalization, etc.).

[0047] More specifically, according to the requirements of the business object management framework, the standardized data is converted into data items with clear business semantics, the business object data is imported into the business object management framework, and hierarchical storage is performed according to the structure of the management framework. For example, basic patient information, medical records, and examination results are stored in the patient management layer and the medical record layer respectively.

[0048] More specifically, an update mechanism is set up in the framework to regularly update business object data according to the frequency of the collection channel, and data version control is used to ensure that historical data is traceable to meet the dynamic needs of the management framework.

[0049] It can be understood that through the steps of conversion and substitution into the management framework, business carrier and business object data are standardized to ensure the consistency and availability of data in the business framework, laying the foundation for data management. Through real-time collection and update mechanisms, it is ensured that data can dynamically reflect the current business status, improve the response speed of smart medical centers in production factor management, and facilitate rapid decision-making and management optimization. The hierarchical storage of business carrier and business object data makes data management more hierarchical, and business stakeholders can quickly obtain required data according to different levels, improving data query and management efficiency. Through the data integration of business carriers and business objects, comprehensive management of production factors of medical centers is realized, ensuring comprehensive coverage and unified management of resources, personnel and patient data, and providing a solid data foundation for the efficient operation of smart medical centers.

[0050] The present invention provides a method for managing element data of a smart medical center, which has the following beneficial effects: The present invention obtains various element data items of the smart medical center, and divides them into business carriers and business objects through analysis, performs logical analysis on the business carriers and business objects respectively, constructs a multi-level management framework, formulates collection plans for business carriers and business objects according to management standards, establishes corresponding data collection channels, obtains original data through the data collection channel and performs format conversion, and imports the converted data into the management framework to realize element data management of the smart medical center. This method improves the level of refinement of data classification and management, realizes real-time data collection and dynamic management, effectively supports the efficient operation and accurate decision-making of the smart medical center, and solves the problem of low efficiency and insufficient accuracy in constructing a data management system for the smart medical center in the prior art.

[0051] Preferably, the steps of obtaining several element data items that the smart medical center needs to manage, analyzing the business attributes and uses of each element data item, and dividing each element data item into business carriers and business objects according to the analysis results include: S11: Obtain several element data items that need to be managed by the smart medical center; S12: Analyze the business attributes of each of the element data items to obtain a business attribute tag of each of the element data items; S13: Analyze the usage of each of the element data items to obtain a usage tag of each of the element data items; S14: Classify each of the element data items according to the business attribute mark and the usage mark of each of the element data items, so as to divide each of the element data items into a business carrier and a business object.

[0052] Specifically, first, data items related to production factors are extracted from different systems of the smart medical center (such as hospital information systems, Internet of Things devices, electronic medical record systems, etc.). These data items may include equipment information, department operations, resource allocation, staff scheduling, patient information, medical records, etc.

[0053] More specifically, after the data items are collected, they are initially classified to determine which data are related to physical resources (such as equipment, facilities, and departments) and which data are related to service objects (such as patients, medical records, and examination results). For each element data item, its role and function in the smart medical center are analyzed. For example, the business attribute of equipment data is "resource management", the business attribute of personnel scheduling data is "personnel scheduling", and the business attribute of patient information is "patient management". Based on the analysis results, each element data item is assigned a corresponding business attribute tag. Common tags include "resource management", "patient management", "department management", "medical process", etc.

[0054] More specifically, the purpose of each data item is analyzed to clarify their application scenarios in the specific business processes of the smart medical center. For example, the purpose of equipment data is "equipment status monitoring", "maintenance plan formulation", etc., and the purpose of patient data is "medical service", "diagnosis support", etc. According to the purpose analysis results, each element data item is given a corresponding purpose tag. The purpose tags include "status monitoring", "process support", "medical decision-making", "resource scheduling", etc.

[0055] More specifically, classification processing is carried out according to the business attribute tags and usage tags of each data item: business carriers usually refer to the physical resources and departments within the hospital, such as equipment, facilities, resource allocation, staff scheduling, etc. Such data items have business attributes of "resource management", and their usage is concentrated in "resource scheduling", "status monitoring" and other aspects; business objects are usually the objects of hospital services, such as patients, medical records, examination reports, etc. Such data items have business attributes such as "patient management" and "medical services", and their usage is concentrated in "medical decision-making", "diagnosis support" and other aspects.

[0056] More specifically, each element data item is tagged with a classification mark of "business carrier" or "business object" and stored in a corresponding management framework.

[0057] It is understandable that through detailed analysis based on business attributes and uses, it is possible to accurately distinguish which data belongs to the category of resource management (business carrier) and which data belongs to the category of service objects (business objects), avoiding unclear or misplaced data classification. According to different categories of data, more targeted management strategies can be formulated. Business carrier data can focus on resource scheduling and status monitoring, while business object data can focus on medical services and patient management. This can optimize the application effect of the data. Correctly classified data can better support various business processes of smart medical centers. For example, accurate management of resource data helps to improve equipment utilization and avoid waste of resources; and management of patient data helps doctors and managers make faster and more accurate decisions and improve medical efficiency.

[0058] Preferably, the steps of performing a logical analysis on each of the business carriers to obtain a hierarchical relationship between each of the business carriers, and constructing a multi-level structure for each of the business carriers according to the hierarchical relationship between each of the business carriers to obtain a business carrier management framework include: S21: performing a logical analysis on each of the service carriers to obtain a hierarchical relationship among the service carriers; wherein the hierarchical relationship includes a parallel relationship, a subordinate relationship, and other relationships; S22: constructing the business carriers having a parallel relationship at the same level to obtain various framework levels; S23: constructing the hierarchical hierarchy of each framework layer according to the subordinate relationship between each of the business carriers, so that each of the framework layers has a high-low level relationship, thereby obtaining the business carrier management framework.

[0059] Specifically, first extract all business carrier-related data items from the business carrier data of the smart medical center, such as equipment, departments, personnel, materials, etc. Business carriers usually cover the physical resources and facility management of the hospital. Perform logical analysis on each business carrier to determine the logical relationship between each carrier, mainly analyzing how the data of each business carrier is related and how it affects other carriers. For example, there may be a parallel relationship between equipment and facilities, and there may be a subordinate relationship between departments and equipment within departments.

[0060] More specifically, the data items with parallel relationships between business carriers are analyzed. These data items are at the same level, independent of each other but have the same management attributes. For example, the relationship between different devices may all belong to the "equipment management" level. For business carriers with subordinate relationships, their superior-subordinate relationships are analyzed. For example, the department's management of equipment and personnel is a subordinate relationship. The department is at a higher level, and equipment and personnel are subordinate layers.

[0061] More specifically, in logical analysis, identify other special relationships, such as cross-relationships or collaborative relationships, which may not form a clear hierarchical structure but need to be horizontally coordinated when building the framework.

[0062] More specifically, according to the analyzed parallel relationship, the business carriers with parallel relationship are classified into the same level. For example, all equipment are classified into the "equipment management level" and all departments are classified into the "department management level" to ensure that the business carriers in each level have consistent management attributes and functional positioning. In each level, the classification of business carriers is standardized. For example, the equipment level can be further classified according to the equipment type (such as medical equipment, diagnostic equipment, auxiliary equipment, etc.) so that the structure of the framework is clear.

[0063] More specifically, the hierarchical structure is constructed based on the subordinate relationship between the various business carriers. For example, the "department management level" is placed above the "equipment management level" to indicate the management hierarchical relationship between the department and the equipment. At the same time, the "personnel management level" can be attributed to the "department management level" to indicate that the personnel are under the management of the department.

[0064] More specifically, in the process of building a superior-subordinate relationship, it is also necessary to consider the coordination between levels. For example, the personnel management level and the equipment management level may need to coordinate to achieve the comprehensive management of equipment scheduling and personnel operation.

[0065] More specifically, all analysis and construction results are integrated to construct a multi-level business carrier management framework. The top level can be the "overall resource management framework", the second level can be "department management", "equipment management" and "personnel management", etc. The lower level can be subdivided into specific departments, equipment types and job functions, etc.

[0066] It is understandable that through logical analysis and hierarchical construction, the business carriers of the smart medical center can be clearly layered to ensure that the management of physical resources such as resources, equipment, and departments is clear and the management relationship between different levels is clear. The multi-level management framework allows managers to allocate and optimize resources from a higher level. For example, through the top-level framework, the situation of all equipment, departments, and personnel can be quickly controlled to improve the efficiency of resource utilization. The hierarchical structure provides a flexible framework for the subsequent addition or adjustment of new business carriers. For example, when introducing new equipment or departments, you only need to add the corresponding level to the existing framework without making large-scale adjustments to the entire framework.

[0067] Preferably, the steps of performing logical analysis on each of the business objects to obtain the hierarchical relationship of each of the business objects, and constructing a multi-level structure for each of the business objects according to the hierarchical relationship of each of the business objects to obtain a business object management framework include: S31: Performing logical analysis on each of the business objects to obtain a hierarchical relationship among the business objects; wherein the hierarchical relationship includes a parallel relationship, a subordinate relationship, and other relationships; S32: constructing the business objects having a parallel relationship at the same level to obtain various framework levels; S33: constructing hierarchical structures for each framework layer according to the subordinate relationships between each business object, so that each framework layer has a high-low level relationship, thereby obtaining the business object management framework.

[0068] Specifically, first, the business object data items of the smart medical center are extracted, which usually include patients, medical records, examination reports, diagnosis and treatment records, medical staff service records, etc. These objects are closely related to specific services and medical processes.

[0069] More specifically, each business object is analyzed to determine the logical relationship between each business object. In this process, the focus is on analyzing how the business objects are related and how they participate in the medical business process. For example, patient information and medical records may have a subordinate relationship, while medical records of different patients may have a parallel relationship.

[0070] More specifically, business objects with parallel relationships are analyzed. For example, the medical records of different patients belong to the same level. They do not have a direct superior-subordinate relationship in management, but have the same management dimension, namely the "medical record management" level.

[0071] More specifically, business objects with subordinate relationships are sorted out. For example, medical records and patient information are usually in a subordinate relationship, and medical record information is attached to patient information. Patient information is a higher level, and medical records are a subordinate level.

[0072] More specifically, some business objects may have collaborative or cross-relationships. Although they are not traditional hierarchical relationships, they are related to each other in the business process. For example, medical records and examination reports may be used together in some processes and need to be managed at the same time.

[0073] More specifically, objects with the same business attributes are grouped into the same level based on the parallel relationship. For example, all patient information is placed in the "patient management level" and all medical records are grouped into the "medical record management level", thus ensuring that the management of business objects at each level is consistent.

[0074] More specifically, in each level, detailed classification can be carried out according to the different characteristics of the business objects. For example, in the "medical record management level", it can be further classified according to the type of medical record (such as electronic medical records, paper medical records, etc.) or the content of medical records (such as diagnosis records, treatment plans, etc.).

[0075] More specifically, the hierarchical structure is constructed based on the subordinate relationship between each business object. For example, the "patient management level" is above the "medical record management level" because patient information is the carrier of medical records and medical records; while the medical record level and examination report level may be subordinate to the patient and medical record management levels.

[0076] More specifically, a multi-level management framework for business objects is designed based on hierarchical relationships to ensure that business objects at each level have clear attribution and association. For example, medical records can be subdivided into different types of medical records, which can be closely related to the diagnosis and treatment process.

[0077] More specifically, after the above analysis and layer construction, a multi-level business object management framework is formed. For example, the top layer is "patient management", the next layer is "medical record management" and "service record management", and the medical record management layer can be further divided into diagnosis records, examination reports, treatment plans, etc.

[0078] It is understandable that by clarifying the hierarchical relationship between various business objects, a structured management framework can be constructed to make the management of information such as patients, medical records, and examination reports clearer, and facilitate efficient access and associated scheduling of information. For example, doctors can quickly access all relevant medical records of a patient to improve the efficiency of medical services. The hierarchical structure of business objects can help smart medical centers better share and circulate data. A well-defined structure can make data sharing between different business departments smoother, thereby avoiding the problem of information islands. Patient information, medical record data, and medical records can be smoothly transmitted between different departments or medical institutions to support collaborative medical care.

[0079] Preferably, the steps of obtaining the management standard currently implemented by the smart medical center, performing comparative analysis on the business carrier management framework and the business object management framework according to the management standard, and obtaining the business carrier acquisition scheme corresponding to the business carrier management framework and the business object acquisition scheme corresponding to the business object management framework include: S41: Obtaining the management standards currently implemented by the smart medical center; wherein the management standards include national standards and industry standards; S42: performing a comparative analysis of the management standards of the service carrier management framework according to the management standards, and obtaining data collection standards and data format standards corresponding to each of the service carriers in the service carrier management framework; S43: Combining and processing the data collection standard and the data format standard corresponding to each of the service carriers in the service carrier management framework to obtain a service carrier collection solution of the service carrier management framework; S44: performing a comparative analysis of the management standards of the business object management framework according to the management standards, and obtaining data collection standards and data format standards corresponding to each of the business objects in the business object management framework; S45: Combining and processing the data collection standard and the data format standard corresponding to each of the business objects in the business object management framework to obtain a business object collection solution of the business object management framework.

[0080] Specifically, the management standards implemented by the smart medical center are determined, mainly including national standards (such as health records, patient privacy protection, etc.) and industry standards (such as HL7, DICOM format standards). These standards provide a basis for the integrity, security, and accuracy of data collection. The national standards and industry standards are classified and summarized to form a standard set, which is convenient for subsequent comparative analysis with the management framework.

[0081] More specifically, in the business carrier management framework, identify each business carrier (such as medical equipment, diagnosis and treatment information systems, etc.), analyze the data collection standards and data format standards required, compare the management standards implemented by the smart medical center with the content of the business carrier management framework, and determine the data collection standards for each business carrier (such as format, data structure, sampling frequency, etc.) to ensure that the business carriers meet national and industry compliance requirements.

[0082] More specifically, based on the comparison results, determine the complete data collection solution required by the business carrier. Combine data collection and format standards, such as device collection frequency, data storage format, etc., and combine the standards of different business carriers to form a unified data collection solution. The collection solution is further refined, such as defining the sampling rate of device data collection, standard format (such as XML, JSON), etc., to ensure that each business carrier can complete data collection under compatible standards.

[0083] More specifically, in the business object management framework, all business objects (such as patient data, medical records, diagnosis results, etc.) are identified, the collection requirements and standard specifications of each object are clarified, the collection requirements of business objects are compared with the current management standards, and the data collection standards and formats of each object are determined (such as HL7 format, XML standard, etc.), to ensure that patient data, medical records and other information comply with national and industry standards.

[0084] More specifically, according to the management standards of business objects, the collection standards and format standards are combined to ensure the integrity of the data collection plan. For example, for patient data, the standard combination can include data type, data format (HL7 format), data protection standards, etc., combined with national and industry requirements, to form a detailed business object collection plan, standardize the data collection, storage and transmission of business objects, and ensure that the data of each object meets the compliance and compatibility requirements.

[0085] It is understandable that, through comparative analysis of national and industry standards, the data collection of business carriers and business objects can meet the requirements of relevant laws and regulations and standards, and improve the legality and security of data collection. For example, the collection of patient privacy information will follow HIPAA or GDPR standards to ensure data compliance. The use of national and industry format standards can ensure that the data formats of different business carriers and objects are consistent, which is convenient for cross-departmental and cross-system data interaction. For example, the use of HL7 standards can ensure data compatibility between different medical systems and improve system interoperability. Through the standardization of business carrier and object collection schemes, the data collection process can be automated and streamlined, reducing data errors in manual operations, improving collection efficiency and data accuracy. Standardized collected data has good structure and compatibility, which is convenient for subsequent business analysis, decision support and intelligent diagnosis system integration. For example, using standardized medical records and diagnostic data, the system can realize data analysis faster and support doctors' intelligent diagnosis. By designing collection schemes in accordance with standards, various business carriers and objects can be expanded or adjusted more flexibly. For example, when new equipment or new data types are added, only the corresponding data collection schemes need to be added according to the standards, without significantly modifying the system configuration.

[0086] Preferably, according to the business carrier acquisition scheme and the business object acquisition scheme, the steps of respectively constructing a business carrier data acquisition channel corresponding to the business carrier management framework and a business object data acquisition channel corresponding to the business object management framework include: S51: constructing data collection units corresponding to the respective service carriers according to the data collection standards of the service carrier collection scheme; wherein the data collection units are used to perform data recognition according to the data collection standards of the service carriers to determine whether the collected data meets the data collection standards; S52: constructing data conversion units corresponding to the respective service carriers according to the data format standards of the service carrier collection scheme; wherein the data conversion units are used to convert the format of the collected data according to the data format standards of the service carriers, so that the data conforms to the data format standards of the service carrier management framework; S53: Combining and processing the data collection unit and the data conversion unit of each of the service carriers to obtain a service carrier data collection channel of the service carrier management framework; S54: constructing data collection units corresponding to the respective business objects according to the data collection standards of the respective business objects of the business object collection scheme; wherein the data collection units are used to perform data recognition according to the data collection standards of the business objects to determine whether the collected data meets the data collection standards; S55: constructing data conversion units corresponding to the respective business objects according to the data format standards of the respective business objects of the business object acquisition scheme; wherein the data conversion units are used to convert the format of the collected data according to the data format standards of the business objects, so that the data conforms to the data format standards of the business object management framework; S56: Combine and process the data collection unit and the data conversion unit of each business object to obtain a business object data collection channel of the business object management framework.

[0087] Specifically, according to the business carrier collection plan, corresponding data collection standards are set for each business carrier (such as medical equipment, monitoring systems, etc.), and a dedicated data collection unit is designed and constructed for each business carrier. Each unit is responsible for obtaining data from the carrier and performing data identification and compliance verification according to the data collection standards to ensure that the collected data meets the requirements.

[0088] More specifically, according to the collection scheme of the business carrier, the data format standard of each business carrier is determined, such as XML, JSON or HL7 and other standard formats, and a corresponding data conversion unit is created for each business carrier. This unit is responsible for converting the collected data format into a structure that conforms to the data format standard to ensure that the data can be seamlessly connected in the business carrier management framework.

[0089] More specifically, the data collection unit and data conversion unit of each business carrier are combined to form a complete business carrier data collection channel, so that the collected and converted data conform to the standards of the business carrier management framework. All business carrier data collection channels are integrated into a complete business carrier management system to support automated processing of data from collection, conversion to integration.

[0090] More specifically, according to the business object collection plan, detailed data collection standards are formulated for each business object (such as patient data, medical records, diagnostic information, etc.), and a dedicated data collection unit is built for each business object, which is responsible for collecting data and matching standards to ensure that the data meets the standard requirements in the business object collection plan.

[0091] More specifically, based on the business object collection plan, determine the data format standard (such as JSON, HL7, etc.) for each business object, and build a data conversion unit that is responsible for converting the collected business object data into a structure that meets the format standard to ensure that the data is compatible in the business object management framework.

[0092] More specifically, the data collection unit and data conversion unit of each business object are combined to form a corresponding business object data collection channel, ensuring that the collected and converted data conform to the standards of the business object management framework, integrating the data collection channels of all business objects to form a complete business object management system, and realizing standardized data collection and format conversion.

[0093] It can be understood that by constructing exclusive data collection units and data conversion units for business carriers and business objects respectively, data collection strictly complies with standard requirements, avoids errors in manual processing, and improves the consistency of data quality. Data collection and conversion units can be independently constructed and flexibly combined. Different business carriers and business objects can adjust or add collection units or conversion units at any time according to needs, ensuring that the system has high scalability and compatibility. The design of the collection channel enables data collection, format conversion, and standardized operations to be performed automatically, reducing manual intervention and improving the efficiency of data collection and processing. All collection and conversion steps are based on national and industry standards, and the compliance and security of data are guaranteed, effectively meeting the security and privacy protection requirements of smart medical centers for sensitive data.

[0094] Preferably, the steps of acquiring the original data of the corresponding element data item according to the business carrier data collection channel, converting the original data into business carrier data and substituting the data into the business carrier management framework, acquiring the original data of the corresponding element data item according to the business object data collection channel, converting the original data into business object data and substituting the data into the business object management framework include: S61: searching for original data of corresponding element data items according to each of the data collection units of the service carrier data collection channel; S62: performing format conversion on each of the original data according to each of the data conversion units of the service carrier data acquisition channel to obtain each of the service carrier data, and replacing each of the service carrier data into the service carrier management framework; S63: searching for original data of corresponding element data items according to each of the data collection units of the business object data collection channel; S64: performing format conversion on each of the original data according to each of the data conversion units of the business object data acquisition channel to obtain each of the business object data, and replacing each of the business object data into the business object management framework.

[0095] Specifically, through the data collection unit in the business carrier data collection channel, the system searches each business carrier (such as equipment data, monitoring data, etc.) and extracts the original data of the corresponding element data items. These original data may come from multiple channels, such as sensor equipment, medical system logs, etc.

[0096] More specifically, the searched raw data is handed over to the data conversion unit in the business carrier data acquisition channel, and the data is converted according to a predefined data format standard (such as XML, JSON, HL7, etc.) to ensure that the data meets the format requirements of the business carrier management framework.

[0097] More specifically, the converted business carrier data is integrated according to the requirements of the business carrier management framework, and the processed data is input into the business carrier management framework to ensure that the data of each carrier is stored, processed and applied according to the format and standard.

[0098] More specifically, through the data acquisition unit in the business object data acquisition channel, the system searches for each business object (such as patient information, diagnosis results, etc.) and extracts the original data of related element data items.

[0099] More specifically, the searched raw data is handed over to the data conversion unit in the business object data acquisition channel, and the raw data is converted according to the data format standard of the business object, such as converting patient data into HL7 format, or processing medical record data according to prescribed security standards.

[0100] More specifically, the converted business object data is input according to the structure of the business object management framework, ensuring that the data of all business objects are stored as required and can be called and processed by the system.

[0101] It is understandable that through strict collection and format conversion steps, the data of all business carriers and business objects are ensured to meet the established standards and regulatory requirements, and the compliance of data quality is guaranteed. For example, sensitive medical data will be collected and formatted in accordance with privacy protection regulations. After the data of each business carrier and business object is standardized, it will be consistent in both format and structure, which is convenient for seamless integration and sharing in the entire system. Different systems or modules can quickly access and use data under unified standards. Through the automated data collection and conversion process, the errors that may be caused by manual operations are reduced, the efficiency of data processing is improved, and the data is updated in real time and efficiently. Especially in scenarios that require real-time monitoring or management, the data collection channels and management frameworks of business carriers and business objects have strong expansion capabilities through standardized operations. As the business expands, new data sources or modules can be easily connected, and the system's processing capabilities can be further improved while ensuring the consistency of data formats.

[0102] In a second aspect, the present invention provides an element data management device for a smart medical center, which is used to implement an element data management method for a smart medical center as described in any one of the first aspects.

[0103] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for managing element data of a smart medical center, characterized in that: include: Acquire several element data items that the smart medical center needs to manage, analyze the business attributes and uses of each element data item, and divide each element data item into business carriers and business objects according to the analysis results; Performing a logical analysis on each of the business carriers to obtain a hierarchical relationship between each of the business carriers, and constructing a multi-level structure for each of the business carriers according to the hierarchical relationship between each of the business carriers to obtain a business carrier management framework; Performing a logical analysis on each of the business objects to obtain a hierarchical relationship between each of the business objects, and constructing a multi-level structure for each of the business objects according to the hierarchical relationship between each of the business objects to obtain a business object management framework; Acquire the management standards currently implemented by the smart medical center, and perform comparative analysis on the business carrier management framework and the business object management framework according to the management standards to obtain a business carrier acquisition plan corresponding to the business carrier management framework and a business object acquisition plan corresponding to the business object management framework; According to the business carrier acquisition scheme and the business object acquisition scheme, respectively constructing a business carrier data acquisition channel corresponding to the business carrier management framework and a business object data acquisition channel corresponding to the business object management framework; According to the business carrier data acquisition channel, the original data of the corresponding factor data item is obtained, the original data is converted into business carrier data and substituted into the business carrier management framework; according to the business object data acquisition channel, the original data of the corresponding factor data item is obtained, the original data is converted into business object data and substituted into the business object management framework, so as to achieve the goal of production factor data management of the smart medical center.

2. The element data management method of the smart medical center according to claim 1, characterized in that: The steps of obtaining several element data items that the smart medical center needs to manage, analyzing the business attributes and uses of each element data item, and dividing each element data item into business carriers and business objects according to the analysis results include: Obtain several element data items that the smart medical center needs to manage; Analyzing the business attributes of each of the element data items to obtain a business attribute tag of each of the element data items; Performing usage analysis on each of the element data items to obtain a usage tag of each of the element data items; Each of the element data items is classified according to the business attribute mark and the usage mark of each of the element data items, so as to divide each of the element data items into a business carrier and a business object.

3. The element data management method of the smart medical center according to claim 1, characterized in that: The steps of performing logical analysis on each of the business carriers to obtain the hierarchical relationship of each of the business carriers, and constructing a multi-level structure for each of the business carriers according to the hierarchical relationship of each of the business carriers to obtain a business carrier management framework include: Performing a logical analysis on each of the service carriers to obtain a hierarchical relationship among the service carriers; wherein the hierarchical relationship includes a parallel relationship, a subordinate relationship, and other relationships; The business carriers having a parallel relationship are constructed at the same level to obtain various framework levels; According to the subordinate relationship between each of the business carriers, each of the framework levels is hierarchically constructed so that each of the framework levels has a high-low level relationship, thereby obtaining the business carrier management framework.

4. The element data management method of the smart medical center according to claim 1, characterized in that: The steps of performing logical analysis on each of the business objects to obtain the hierarchical relationship of each of the business objects, and constructing a multi-level structure for each of the business objects according to the hierarchical relationship of each of the business objects to obtain a business object management framework include: Performing logical analysis on each of the business objects to obtain a hierarchical relationship among the business objects; wherein the hierarchical relationship includes a parallel relationship, a subordinate relationship, and other relationships; The business objects having a parallel relationship are constructed at the same level to obtain various framework levels; According to the subordinate relationship between each of the business objects, each of the framework levels is hierarchically constructed so that each of the framework levels has a high-low level relationship, thereby obtaining the business object management framework.

5. The element data management method of the smart medical center according to claim 1, characterized in that: The steps of obtaining the management standard currently implemented by the smart medical center, performing comparative analysis on the business carrier management framework and the business object management framework according to the management standard, and obtaining the business carrier collection scheme corresponding to the business carrier management framework and the business object collection scheme corresponding to the business object management framework include: Obtain the management standards currently implemented by the smart medical center; wherein the management standards include national standards and industry standards; Performing a comparative analysis of the management standards of the service carrier management framework according to the management standards, and obtaining data collection standards and data format standards corresponding to each of the service carriers in the service carrier management framework; Combining and processing the data collection standard and the data format standard corresponding to each of the service carriers in the service carrier management framework to obtain a service carrier collection scheme of the service carrier management framework; Performing a comparative analysis of the management standards of the business object management framework according to the management standards, and obtaining data collection standards and data format standards corresponding to each of the business objects in the business object management framework; The data collection standard and the data format standard corresponding to each of the business objects in the business object management framework are combined and processed to obtain a business object collection solution of the business object management framework.

6. The method for managing element data of a smart medical center according to claim 5, characterized in that: According to the business carrier acquisition scheme and the business object acquisition scheme, the steps of respectively constructing a business carrier data acquisition channel corresponding to the business carrier management framework and a business object data acquisition channel corresponding to the business object management framework include: According to the data collection standard of each of the service carriers in the service carrier collection scheme, a data collection unit corresponding to each of the service carriers is constructed respectively; wherein the data collection unit is used to perform data recognition according to the data collection standard of the service carrier to determine whether the collected data meets the data collection standard; According to the data format standard of each of the service carriers of the service carrier acquisition scheme, a data conversion unit corresponding to each of the service carriers is respectively constructed; wherein the data conversion unit is used to convert the format of the collected data according to the data format standard of the service carrier so that the data conforms to the data format standard of the service carrier management framework; Combining and processing the data collection unit and the data conversion unit of each of the service carriers to obtain a service carrier data collection channel of the service carrier management framework; According to the data collection standard of each business object of the business object collection scheme, a data collection unit corresponding to each business object is respectively constructed; wherein the data collection unit is used to perform data recognition according to the data collection standard of the business object to determine whether the collected data meets the data collection standard; According to the data format standard of each business object of the business object acquisition scheme, a data conversion unit corresponding to each business object is respectively constructed; wherein the data conversion unit is used to convert the format of the collected data according to the data format standard of the business object, so that the data conforms to the data format standard of the business object management framework; The data collection unit and the data conversion unit of each business object are combined and processed to obtain the business object data collection channel of the business object management framework.

7. The method for managing element data of a smart medical center according to claim 5, characterized in that: The steps of acquiring original data of corresponding element data items according to the business carrier data collection channel, converting the original data into business carrier data and substituting the data into the business carrier management framework, acquiring original data of corresponding element data items according to the business object data collection channel, converting the original data into business object data and substituting the data into the business object management framework include: Searching for original data of corresponding element data items according to each of the data collection units of the service carrier data collection channel; Performing format conversion on each of the original data according to each of the data conversion units of the service carrier data acquisition channel to obtain each of the service carrier data, and substituting each of the service carrier data into the service carrier management framework; Searching for original data of corresponding element data items according to each of the data collection units of the business object data collection channel; According to each of the data conversion units of the business object data acquisition channel, each of the original data is converted into a format to obtain each of the business object data, and each of the business object data is substituted into the business object management framework.

8. An element data management system for a smart medical center, characterized in that: A method for managing element data of a smart medical center used to implement any one of claims 1-7.

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