Intelligent medical guide service data management method and management system

Abstract

The invention discloses an intelligent medical guide service data management method and management system, and relates to the technical field of intelligent management, and the method comprises the steps: dividing service management terminals according to the three levels of patients, doctors and management, analyzing the period nodes of medical guide service data management, and covering the whole life cycle from hospital admission to medical treatment completion of the patients; performing node service demand analysis on each service management end, and establishing a demand service chain; performing interaction analysis of the service management end to obtain an interaction service circulation path; performing local area network and near field communication transmission matching based on the flow path, establishing data connection and an interaction algorithm, and configuring a transmission interface and a processing operator; and through a transmission interface and an operator, interaction management processing of full-period nodes is carried out, so that the technical effects of improving network independence and ensuring medical guide service stability are achieved.

Description

Technical Field

[0001] The present invention relates to the field of smart management technology, and in particular to a smart medical guide service data management method and management system. Background Art

[0002] In large hospitals and comprehensive hospitals, due to the high patient mobility and complicated medical treatment procedures, the construction of a smart medical guide service system can effectively improve the efficiency and experience of patients' medical treatment.

[0003] The relevant technologies of medical guide services can be divided into medical guide services based on traditional appointment systems, systems based on intelligent consultation and navigation, and data management systems based on cloud platforms. The existing applications are all based on the service model of registration, waiting, waiting for calls, and medical treatment, which rely on the support of external networks and Wi-Fi. At the same time, sensitive data such as patients' personal information and medical records are at risk of leakage and abuse. Summary of the invention

[0004] The present invention provides a smart medical guide service data management method and management system to solve the technical problem in the prior art that the external network is highly dependent and affects the continuity and integrity of the medical guide service, and achieve the technical effect of improving network independence and ensuring the stability of the medical guide service.

[0005] In a first aspect, the present invention provides a method for managing data of a smart medical guide service, wherein the method comprises: The service management end is divided into three levels: patients, doctors, and management, and the cycle nodes of the medical guide service data management are analyzed. The cycle nodes are the entire medical guide service life cycle from the patient's admission to the completion of medical treatment.

[0006] Based on the periodic nodes, node service demand analysis is performed on patients, doctors, and management of each service management end, and a demand service chain is established for each service management end.

[0007] Interaction analysis is performed according to the demand service chains of the service management terminals to obtain an interactive service flow path.

[0008] According to the interactive service flow path, internal LAN and near-field communication transmission are matched, a data transmission connection and a data interaction processing algorithm are established, and based on the data transmission connection and the data interaction processing algorithm, a transmission interface and a processing operator of the interactive service flow path are configured.

[0009] Based on the transmission interface and the processing operator, the interactive service flow path is subjected to interactive management processing of the full-cycle nodes.

[0010] In a second aspect, the present invention further provides a smart medical guide service data management system, wherein the system comprises: The hierarchical division module is used to divide the service management end into three levels: patients, doctors, and management, and to analyze the cycle nodes of the medical guide service data management. The cycle nodes are the entire medical guide service life cycle from the patient's admission to the completion of medical treatment.

[0011] The demand analysis module is used to perform node service demand analysis on patients, doctors, and management service management terminals based on the periodic nodes, and establish demand service chains for each service management terminal.

[0012] The flow path acquisition module is used to perform interaction analysis according to the demand service chains of the service management terminals to obtain the interactive service flow path.

[0013] The service configuration module is used to match the internal LAN and near-field communication transmission according to the interactive service flow path, establish a data transmission connection and a data interaction processing algorithm, and configure the transmission interface and processing operator of the interactive service flow path based on the data transmission connection and the data interaction processing algorithm.

[0014] The interaction management processing module is used to perform interaction management processing of the full-cycle nodes on the interaction service flow path based on the transmission interface and the processing operator.

[0015] The present invention discloses a smart medical guide service data management method and management system, comprising: dividing the service management end according to three levels: patient, doctor and management, and parsing the periodic nodes of the medical guide service data management, wherein the periodic nodes are the entire medical guide service life cycle from the patient's admission to the completion of medical treatment; performing node service demand analysis on each service management end of the patient, doctor and management based on the periodic nodes, and establishing a demand service chain of each service management end; performing interactive analysis according to the demand service chain of each service management end, and obtaining an interactive service flow path; performing internal local area network and near field communication transmission matching according to the interactive service flow path, establishing a data transmission connection and a data interaction processing algorithm, and configuring a transmission interface and a processing operator of the interactive service flow path based on the data transmission connection and the data interaction processing algorithm; performing interactive management processing of the full-cycle nodes on the interactive service flow path based on the transmission interface and the processing operator. The smart medical guide service data management method and management system disclosed by the present invention solve the technical problem of strong external network dependence and influence on the continuity and integrity of the medical guide service, and achieve the technical effect of improving network independence and ensuring the stability of the medical guide service. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 The figure is a flow chart of a method for managing data of a smart medical guide service according to the present invention.

[0017] Figure 2 This is a structural schematic diagram of a smart medical guide service data management system of the present invention.

[0018] Explanation of the reference numerals: hierarchical division module 11 , demand analysis module 12 , flow path acquisition module 13 , service configuration module 14 , interaction management processing module 15 . DETAILED DESCRIPTION

[0019] The above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods of the specification to better understand the above technical solution. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments of the present invention. It should be understood that the present invention is not limited to the example embodiments used only to explain the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention. In addition, it should be noted that, for the convenience of description, only the parts related to the present invention are shown in the drawings, rather than all of them.

[0020] Embodiment 1, Figure 1 The present invention is a flowchart of a method for managing data of a smart medical guide service, wherein the method comprises: S100: Divide the service management end into three levels: patients, doctors, and management, and analyze the cycle nodes of the medical guide service data management, where the cycle nodes are the entire medical guide service life cycle from the patient's admission to the completion of medical treatment.

[0021] Specifically, the service management end is an independent management module in the smart medical guide service system, divided according to the needs and responsibilities of different roles (patients, doctors, management). Each service management end has its own specific functions and service requirements.

[0022] Specifically, the medical guide service life cycle refers to the entire process from the patient entering the hospital to completing all medical procedures and leaving the hospital; and the cycle nodes refer to the key nodes divided in chronological order in the entire process from the patient's admission to the completion of medical treatment. These cycle nodes mark the different stages of the medical guide service, such as admission registration, diagnosis, treatment, discharge, etc.; in other words, the medical guide service life cycle covers multiple cycle nodes, and multiple cycle nodes together reflect the key service nodes of the medical guide service life cycle.

[0023] Specifically, first, the service management end is divided into three levels: patients, doctors, and management, to ensure that the needs of each role can be fully considered and met, and to facilitate the definition of configuration information such as the functions and permissions of the service management end; then, the cycle nodes of the medical guide service data management are analyzed, that is, the entire process of the patient's medical treatment is divided into multiple key nodes. The division of nodes helps to more accurately manage and schedule the medical guide service data, thereby improving the efficiency and quality of the medical guide service. For example, when a patient is admitted to the hospital, it is necessary to record the patient's basic information and medical history; in the diagnosis stage, it is necessary to provide the doctor's diagnosis results and treatment recommendations; when discharged from the hospital, it is necessary to generate a rehabilitation report and follow-up plan for the patient; in this way, the system can ensure that corresponding service support is provided at each key node.

[0024] S200: Based on the periodic nodes, node service demand analysis is performed on patients, doctors, and management service management terminals respectively, and a demand service chain is established for each service management terminal.

[0025] Specifically, starting from the perspectives of patients, doctors, and management roles, the service demands of each service management end at different cycle nodes are analyzed to provide a basis for the subsequent efficient interaction of the service chain; among them, the demand service chain represents a series of demands and the temporal relationship of the demands of each service management end in the life cycle of the medical guide service, and reflects the order and dependency of the service demands of each service management end in the life cycle of the medical guide service.

[0026] For example, at the patient admission node, the patient service management end may need to obtain the patient's basic information and medical history data. The data source may be the admission registration form filled out by the patient himself, and the feedback requirement may be to pass this information to the doctor service management end in a timely manner; after the patient is admitted, the doctor needs to make a diagnosis, and the diagnosis result needs to be fed back to the patient and the management service management end through the doctor service management end.

[0027] By conducting node service demand analysis on patients, doctors, and management of each service management end based on periodic nodes and establishing a demand service chain, we can more clearly understand the service needs of each service management end in the life cycle of the medical guide service, which will help improve the system's service efficiency and data management accuracy, ensure that each service management end can obtain the required information in a timely manner, and improve the overall quality of the medical guide service and the patient's medical experience.

[0028] In some embodiments, based on the periodic nodes, node service demand analysis is performed on the patient, doctor, and management service management end respectively, and a demand service chain of each service management end is established, including: According to the cycle nodes, the service demands of patients, doctors, and each service management end are analyzed respectively, and the data source and feedback requirements of each service demand are determined; according to the temporal relationship of the cycle nodes, the data source and feedback requirements of each service demand are sequentially connected to establish a demand service chain for each service management end.

[0029] Specifically, it refers to analyzing the specific service needs of patients, doctors, and management of each service management end at each node according to the cycle nodes of the medical guide service data management, including data sources and feedback requirements; among them, data sources refer to the way each service management end obtains the data required at each node, such as the admission registration form filled out by the patient, the doctor's diagnosis record, physical and chemical indicators obtained by examination, etc.; feedback requirements refer to the data processing and feedback needs of each service management end at each node, such as timely transmitting patient information to doctors, and feeding back diagnosis results to patients.

[0030] Exemplarily, the interaction and service process of the patient service management end includes: registration and waiting management, patients complete registration through the hospital self-service registration machine, intelligent medical guide equipment, etc., the system automatically records the patient information, and arranges the waiting time and location. The patient is guided to the waiting area, consulting room, etc. through screen display and voice prompts to avoid manual intervention; automated identity verification and consultation process guidance, automatically verifying the patient's identity through QR code, RFID or face recognition technology, and sending the patient's information to the doctor to remind the doctor to prepare for the consultation. The patient automatically goes to the corresponding consulting room according to the prompt information; patient waiting and voice reminder, during the waiting process, the patient understands the current consultation progress and remaining waiting time through voice and visual prompts.

[0031] Exemplarily, the interaction and service process of the doctor service management end includes: clinic information and patient guidance, the human-computer interaction equipment on the doctor side (such as tablets, PCs, etc.) automatically receives patient information and reminds the doctor of the patient's basic information and medical history, reducing manual input; automated diagnosis and treatment reminders, the service management end automatically reminds the doctor to proceed to the next step (such as prescribing, examination recommendations, etc.) based on the patient's medical records. At the same time, the doctor service management end will synchronize the patient status and management end data in real time; patient identity confirmation and medical reminders, when the patient enters the clinic, the service management end automatically updates the diagnosis and treatment information, and reminds the doctor through voice or visual means that "XX patient has arrived in the clinic for the next step of diagnosis and treatment."

[0032] Exemplarily, the interaction and service processes of the management service management end include: real-time data monitoring and analysis, the management service management end monitors key indicators such as patient flow, waiting time, and treatment efficiency in real time, and automatically generates statistical reports and optimization suggestions based on real-time data analysis to help management make adjustments to medical resources; data synchronization and automatic reporting, through the intranet, the medical information of each department and each clinic, patient satisfaction surveys, doctor workload and other data are synchronized to the management service management end in real time to avoid data delays or omissions caused by external network failure.

[0033] Specifically, the service requirements of each service management end at different nodes are connected in chronological order to form a complete demand service chain. The purpose of this process is to clarify the service requirements of each service management end at different nodes and provide a basis for subsequent interaction analysis and data transmission configuration.

[0034] S300: Performing interaction analysis according to the demand service chains of the service management terminals to obtain an interactive service flow path.

[0035] Specifically, interaction analysis refers to analyzing the demand service chain of each service management terminal to determine the interaction relationship and data flow path between different service management terminals. The interactive service flow path refers to the path between each service management terminal where data and service requirements flow in a certain order and rules. It is used to describe the flow process of data from one service management terminal to another, as well as the nodes and service requirements involved in the flow process.

[0036] In some embodiments, performing interaction analysis according to the demand service chains of the service management terminals to obtain the interactive service flow path includes: According to the periodic nodes, the demand service chains of the service management terminals are node-aligned to establish a multi-node service demand interaction set; according to the multi-node service demand interaction set, the data source and feedback requirements of each service demand in the node service demand interaction set are respectively analyzed for data flow direction to establish a data flow relationship for each service demand; according to the data flow relationship of each service demand, a causal time sequence connection is performed to obtain the interactive service flow path.

[0037] Specifically, the demand service chains of the service management ends corresponding to different roles vary in the number and type of nodes involved. For example, the doctor service management end may involve cross-department consultations or communications with the laboratory department that the patient service management end does not involve. Therefore, the demand service chains of each service management end are first synchronized in time and matched in position according to the periodic nodes to facilitate comparison and analysis of the needs of each service management end in the same time period.

[0038] Specifically, a multi-node service demand interaction set refers to a collection of service demands on multiple service management terminals at different nodes. Demands at the same time node may interact; a data flow relationship is a logical relationship between data flows between different service management terminals, which describes the origin and flow path of the data.

[0039] Specifically, further according to the multi-node service demand interaction set, the data source and feedback requirements of each service demand are analyzed for the data flow direction. For example, the patient's admission registration form is the data source of the patient service management end, and the doctor service management end needs to feedback the diagnosis results to the patient service management end and the management service management end. By analyzing the data flow direction, the data flow relationship of each service demand can be established; then, according to the data flow relationship of each service demand, a causal temporal sequence connection is performed to provide a basis for subsequent data transmission and interaction management. For example, the patient's admission information first flows from the patient service management end to the doctor service management end, and then the doctor service management end flows the diagnosis results to the patient service management end and the management service management end.

[0040] In some implementations, according to the multi-node service demand interaction set, the data source and feedback requirements of each service demand in the node service demand interaction set are respectively analyzed for data flow direction, and a data flow relationship of each service demand is established, including: According to the data source of each service demand, the service management end, storage database, and synchronization data content of the data source are determined, and the service management end, storage database, and synchronization data content of the data source are used as data input tags; according to the feedback requirements of each service demand, the feedback service management end, archiving database, and feedback data content are determined, and the feedback service management end, archiving database, and feedback data content are used as data output tags; according to the data input tags and the data output tags, the data flow relationship of each service demand is established, the input direction of the data flow relationship is the data input tag, the output direction is the data output tag, and the intermediate subject is the service demand and its corresponding service management end.

[0041] Specifically, data source refers to the way to obtain data required for each service demand, including the service management end where the data is generated, the database where the data is stored, and the data content that needs to be synchronized; feedback requirements refer to the data processing and feedback requirements of each service demand, including the service management end where data is fed back, the database where the data is archived, and the data content that is fed back; data flow direction analysis refers to analyzing the direction in which data flows between different service management ends, that is, from which service management end the data flows to which service management end, from which database it is synchronized to which service management end, etc.

[0042] Specifically, the data flow relationship refers to the logical relationship of data flowing between different service management terminals, which describes the origin and flow path of the data; the data input label is used to identify the source of the data; and the data output label is used to identify the data feedback requirements.

[0043] Specifically, first, based on the multi-node service demand interaction set, the data source and feedback requirements of each service demand are analyzed for data flow direction. That is, based on the data source of each service demand, the service management end, storage database and synchronization data content of the data source are determined, and this information is used as the data input label. For example, the patient service management end needs to obtain the patient's basic information at the admission node. The data source may be the admission registration form filled out by the patient himself and stored in the patient information database. The data content that needs to be synchronized includes the patient's name, age, medical history, etc.; then, according to the feedback requirements of each service demand, determine the feedback service management end, archive database and feedback data content, and use this information as the data output label. For example, the doctor service management end needs to feedback the diagnosis results to the patient service management end and the management service management end at the diagnosis node, and archive them in the diagnosis result database. The feedback data content includes diagnosis conclusions, treatment recommendations, etc.; finally, according to the data input label and data output label, establish the data flow relationship of each service demand. The data flow relationship includes the source and direction of the data. For example, the patient's basic information flows from the patient service management end to the doctor service management end, and the doctor's diagnosis results flow from the doctor service management end to the patient service management end and the management service management end.

[0044] Through the above process, the data flow relationship between various service requirements is clarified, which provides a basis for subsequent data transmission and interactive management, helps to improve the efficiency and accuracy of data transmission, and ensures that each service management end can obtain the required information in a timely manner, thereby improving the overall quality of medical guide services and patients' medical experience.

[0045] In some implementations, performing causal temporal sequential connection according to the data flow relationship of each service requirement to obtain the interactive service flow path includes: According to the data flow relationship of each service demand, the flow path of the management end is established with the service management end as the first flow analysis feature; according to the data flow relationship between the database source and the data content, the flow path of the data source is established with the data content as the second flow analysis feature; the flow path of the management end is used as the main flow line, and the flow path of the data source is integrated as the flow attribute to construct the interactive service flow path.

[0046] Specifically, the flow path of the management end refers to the data flow path between the service management ends established with the service management end as the flow analysis feature; the flow path of the data source refers to the data flow path between the data sources established with the data content as the flow analysis feature; the flow main line refers to the flow path that plays a leading role in the interactive service flow path. Preferably, the flow path of the service management end is used as the flow main line.

[0047] Specifically, the flow attribute corresponds to a flow path that plays an auxiliary role in the interactive service flow path, such as taking the flow path of the data source as the flow attribute.

[0048] Specifically, first, according to the data flow relationship of each service demand, the service management end is used as the first flow analysis feature to establish the flow path of the management end. For example, at the patient admission node, the patient service management end needs to transfer the patient information to the doctor service management end, and the doctor service management end then transfers the diagnosis result to the management service management end; then, according to the data flow relationship between the database source and the data content, the data content is used as the second flow analysis feature to establish the flow path of the data source. For example, the basic information of the patient is stored in the patient information database, and the diagnosis result is stored in the diagnosis result database. The flow relationship between these data contents in different databases constitutes the flow path of the data source; finally, the flow path of the management end is used as the main flow line, and the flow path of the data source is integrated as the flow attribute to construct the interactive service flow path. For example, the flow between the patient service management end, the doctor service management end, and the management service management end is used as the main line, and the flow between the patient information database and the diagnosis result database is used as the attribute to form a complete interactive service flow path, so as to simultaneously clarify the data flow relationship and interaction order between each service demand, and provide a basis for subsequent data transmission and interactive management.

[0049] S400: Match the internal LAN and near field communication transmission according to the interactive service flow path, establish a data transmission connection and a data interaction processing algorithm, and configure the transmission interface and processing operator of the interactive service flow path based on the data transmission connection and the data interaction processing algorithm.

[0050] Specifically, the internal LAN is a network within the hospital used to connect various departments and equipment to achieve reliable and efficient data transmission and sharing; near-field communication refers to technology for data transmission within a short distance, such as Bluetooth, NFC, etc., which is used for data exchange between mobile devices.

[0051] By matching the internal LAN and near-field communication transmission according to the interactive service flow path, the established data transmission connection ensures the reliability and adaptability of the medical guide service, avoids the reliability defects of the medical guide service when relying on an external network, and helps to improve the adaptability and flexibility of the medical guide service.

[0052] In some embodiments, matching the internal LAN and near field communication transmission according to the interactive service flow path, establishing a data transmission connection and a data interaction processing algorithm includes: Analyze the transmission constraints of the internal LAN, use the transmission constraints to perform transmission constraint analysis on each node of the interactive service flow path, and obtain transmission constraint information; analyze the transmission characteristics of near-field communication transmission, use the transmission characteristics to perform compensation analysis on the transmission constraint information, and obtain transmission compensation matching information; use the transmission constraint information and transmission compensation matching information to search for transmission schemes for each transmission node of the interactive service flow path, and configure data transmission connections for each node; based on the interactive service flow path, obtain the data interaction relationship of each node, fit the data interaction operation relationship with the output result as the dependent variable and the input result as the independent variable, and obtain a data interaction processing algorithm.

[0053] Specifically, transmission constraints refer to the various restrictions imposed on the internal LAN during data transmission, such as network bandwidth, transmission delay, security requirements, etc.; transmission constraint information is detailed information about the transmission restrictions of the internal LAN obtained through transmission constraint analysis, reflecting the performance ceiling when data is exchanged through the internal LAN.

[0054] Specifically, transmission characteristics refer to the characteristics and properties of near-field communication transmission, such as transmission distance, transmission rate, anti-interference ability, etc.; transmission compensation matching information is obtained by analyzing and comparing near-field communication transmission characteristics with transmission constraint information, and is used to compensate for insufficient internal LAN transmission.

[0055] Specifically, after establishing the interactive service flow path, it is necessary to match the internal LAN and near-field communication transmission according to the path. First, analyze the transmission constraints of the internal LAN, such as network bandwidth, transmission delay, security requirements, etc. These constraints will affect the efficiency and quality of data transmission. For example, at the patient admission node, it may be necessary to transmit the patient's basic information to the doctor service management end through the internal LAN. At this time, it is necessary to consider whether the network bandwidth is sufficient, whether the transmission delay and packet loss rate are within an acceptable range, and whether the security of data transmission is guaranteed; then, analyze the transmission characteristics of near-field communication transmission, such as the transmission distance is within 10 meters, the transmission rate is 5Mbps, and the anti-interference ability is strong. Based on the obtained transmission characteristics of near-field communication transmission, the transmission constraint information is compensated and analyzed to make up for the part of the transmission constraint information that does not meet the needs of data interaction. For example, for short-distance real-time data transmission needs, such as simple information interaction between doctors and patients, near-field communication transmission can be selected to make up for the shortcomings of internal LAN transmission and improve the load pressure of the internal LAN. Exemplarily, near field communication transmission is used at the interaction nodes between doctors and patients, and between patients and testing departments, while internal LAN transmission is used at the data transmission nodes across departments.

[0056] Furthermore, the transmission constraint information and the transmission compensation matching information are used to search for transmission schemes for each transmission node in the interactive service flow path; for example, at the patient admission node, based on the priority and real-time requirements of data transmission, internal LAN transmission is selected for the node, and corresponding network parameters such as IP address, port number, etc. are configured; and at the interactive node between doctors and patients, near-field communication transmission is selected, and corresponding device parameters such as transmission frequency, power, etc. are configured.

[0057] Finally, based on the interactive service flow path, the data interaction relationship of each node is obtained, and the data interaction operation relationship is fitted with the output result as the dependent variable and the input result as the independent variable to obtain the data interaction processing algorithm. For example, the format of patient information may be XML format, and the doctor service management end needs to use a specific parsing algorithm to convert it into an internal data structure for processing and storage. The corresponding data interaction operation relationship is the conversion operation relationship from XML format to internal data structure.

[0058] Through the reasonable matching of internal LAN and near-field communication transmission in the above process, the advantages of different transmission methods can be fully utilized to meet the data transmission needs in different scenarios, improve the adaptability and flexibility of the system, and ultimately establish a stable and efficient data transmission channel and data interaction processing mechanism to ensure that the data between each service management end can be transmitted and processed in a timely and accurate manner, thereby improving the overall performance and reliability of the medical guide service.

[0059] In some embodiments, the method further comprises: Based on the interactive service flow path, an edge node insertion simulation is performed according to the data interaction processing algorithm and the transmission constraint information; based on the simulated transmission evaluation results before and after the edge node insertion, it is determined whether the transmission node is inserted into the edge node, and when the difference between the simulated transmission evaluation result after the insertion and the transmission evaluation result before the insertion is greater than a preset threshold, it is determined to insert the edge node in the corresponding transmission node; based on the internal LAN structure after the edge node is inserted, the transmission constraint analysis and evaluation of the interactive service flow path is performed.

[0060] Specifically, edge node insertion simulation refers to the process of virtually inserting edge nodes in the interactive service flow path to evaluate their impact on data transmission performance. Edge nodes are usually computing nodes located at the edge of the network, close to the data source or data consumer, and are used for data preprocessing and forwarding, thereby improving the efficiency of the data interaction process.

[0061] Specifically, the data transmission evaluation indicators before and after the edge node insertion simulation are obtained, such as delay, concurrency, transmission rate, packet loss rate, security protection level, etc., and the output is a simulated transmission evaluation result, wherein the simulated transmission evaluation result includes the simulated transmission evaluation result after insertion and the transmission evaluation result before insertion.

[0062] Specifically, based on the simulated transmission evaluation results before and after the edge node is inserted, it is determined whether it is necessary to insert an edge node in the transmission node. If the transmission evaluation results after insertion are significantly improved, it means that inserting the edge node is beneficial. For example, after inserting the edge node, the transmission delay is reduced by 50%, the bandwidth utilization is increased by 30%, and the packet loss rate is reduced by 20%, which means that inserting the edge node can significantly improve the data transmission performance.

[0063] Specifically, when the difference between the simulated transmission evaluation result after insertion and that before insertion is greater than a preset threshold, it can be considered that the transmission performance is greatly improved after inserting the edge node, and the cost-effectiveness is relatively high, and it can be determined to insert the edge node in the corresponding transmission node; among which, the preset threshold can be set according to the actual needs of the hospital and the network environment. For example, the threshold is set to reduce the transmission delay by more than 20% and increase the bandwidth utilization by more than 15%.

[0064] Furthermore, based on the internal LAN structure after inserting the edge node, the transmission constraint analysis and evaluation of the interactive service flow path is carried out, including re-evaluation of constraints such as network bandwidth, transmission delay, and security, to ensure that data transmission can still meet the requirements under the new network structure. For example, check whether inserting the edge node will cause network congestion and whether data security is guaranteed.

[0065] Through the above process, edge node insertion simulation, judgment and transmission constraint analysis and evaluation are carried out, which can further optimize data transmission performance and network resource utilization efficiency. Among them, the insertion of edge nodes can alleviate network congestion, reduce data transmission delays, and improve data processing capabilities, thereby improving the overall quality of medical guide services and patients' medical experience. Transmission constraint analysis and evaluation ensures that data transmission can still be carried out stably and reliably after changes in the network structure.

[0066] 500: Perform full-cycle node interaction management processing on the interactive service flow path based on the transmission interface and the processing operator.

[0067] Specifically, after establishing the data transmission connection and the data interaction processing algorithm, the interactive service flow path is interactively managed and processed for all the nodes in the entire cycle based on the transmission interface and the processing operator. For example, when a patient is admitted to the hospital, the patient service management end sends the patient's basic information to the doctor service management end through the transmission interface, wherein the transmission interface and the processing operator can ensure that the data format, encoding and transmission protocol meet the requirements to avoid data loss or errors; after the doctor service management end receives the patient information, it uses the processing operator to parse, verify and store the data, wherein the processing operator may include functions such as data format conversion, data encryption, and data verification to ensure the integrity and security of the data; after the doctor completes the diagnosis, the diagnosis result is sent back to the patient service management end and the management service management end through the transmission interface. At this time, the diagnosis result data is also format converted and compressed through the transmission interface and the processing operator to improve data quality and transmission reliability, reduce data errors and transmission delays, thereby improving the overall quality of the medical guide service and the patient's medical experience.

[0068] In summary, the smart medical guide service data management method provided by the present invention has the following technical effects: The service management end is divided into three levels: patients, doctors, and management, and the cycle nodes of the medical guide service data management are analyzed. The cycle nodes are the entire medical guide service life cycle from the patient's admission to the completion of medical treatment; based on the cycle nodes, the node service demand analysis is performed on the patient, doctor, and management service management ends respectively, and the demand service chain of each service management end is established; according to the demand service chain of each service management end, an interactive analysis is performed to obtain the interactive service flow path; according to the interactive service flow path, the internal LAN and near-field communication transmission are matched, and the data transmission connection and data interaction processing algorithm are established. Based on the data transmission connection and the data interaction processing algorithm, the transmission interface and processing operator of the interactive service flow path are configured; based on the transmission interface and the processing operator, the interactive service flow path is interactively managed and processed for the nodes of the whole cycle, thereby achieving the technical effect of improving network independence and ensuring the stability of the medical guide service.

[0069] Embodiment 2: Figure 2 This is a schematic diagram of the structure of a smart medical guide service data management system of the present invention. For example, Figure 1 The flowchart of a smart medical guide service data management method of the present invention can be shown as follows: Figure 2 The structure shown is implemented.

[0070] Based on the same concept as the smart medical guide service data management method in the embodiment, the present invention also provides a smart medical guide service data management system including: The hierarchical division module 11 is used to divide the service management end into three levels: patients, doctors, and management, and analyze the cycle nodes of the medical guide service data management, which are the entire medical guide service life cycle from the patient's admission to the completion of medical treatment.

[0071] The demand analysis module 12 is used to perform node service demand analysis on patients, doctors, and management of each service management end based on the periodic nodes, and establish a demand service chain for each service management end.

[0072] The flow path acquisition module 13 is used to perform interaction analysis according to the demand service chains of the service management terminals to obtain the interactive service flow path.

[0073] The service configuration module 14 is used to match the internal LAN and near-field communication transmission according to the interactive service flow path, establish a data transmission connection and a data interaction processing algorithm, and configure the transmission interface and processing operator of the interactive service flow path based on the data transmission connection and the data interaction processing algorithm.

[0074] The interaction management processing module 15 is used to perform interaction management processing of the full-cycle nodes on the interaction service flow path based on the transmission interface and the processing operator.

[0075] Wherein, the demand analysis module 12 includes: The service demand analysis and determination unit is used to analyze the service demands of patients, doctors, and management of each service management end according to the cycle nodes, and determine the data source and feedback requirements of each service demand.

[0076] The demand service chain establishing unit is used to sequentially connect the data sources and feedback requirements of each service demand according to the time sequence relationship of the periodic nodes to establish the demand service chain of each service management terminal.

[0077] In some embodiments, the flow path acquisition module 13 includes: The multi-node service demand interaction set establishing unit is used to align the demand service chains of the service management terminals according to the periodic nodes and establish a multi-node service demand interaction set.

[0078] The data flow relationship establishing unit is used to analyze the data source and feedback requirements of each service demand in the node service demand interaction set according to the multi-node service demand interaction set, and establish the data flow relationship of each service demand.

[0079] The interactive service flow path acquisition unit is used to perform causal time sequence connection according to the data flow relationship of each service demand to obtain the interactive service flow path.

[0080] In some implementations, the data flow relationship establishing unit in the flow path acquisition module 13 includes: The data input label determination unit is used to determine the service management end, storage database, and synchronization data content of the data source according to the data source of each service demand, and use the service management end, storage database, and synchronization data content of the data source as the data input label.

[0081] The data output label determination unit is used to determine the feedback service management end, archive database, and feedback data content according to the feedback requirements of each service demand, and use the feedback service management end, archive database, and feedback data content as data output labels.

[0082] The data flow relationship establishing unit is used to establish the data flow relationship of each service demand according to the data input tag and the data output tag, wherein the input direction of the data flow relationship is the data input tag, the output direction is the data output tag, the intermediate subject is the service demand and its corresponding service management end.

[0083] In some implementations, the interactive service flow path acquisition unit in the flow path acquisition module 13 includes: The management end flow path establishing unit is used to establish the flow path of the management end according to the data flow relationship of each service demand and take the service management end as the first flow analysis feature.

[0084] The data source flow path establishing unit is used to establish the flow path of the data source according to the data flow relationship between the database source and the data content, taking the data content as the second flow analysis feature.

[0085] The interactive service flow path construction unit is used to integrate the flow path of the management end as the flow main line and the flow path of the data source as the flow attribute to construct the interactive service flow path.

[0086] In some embodiments, the service configuration module 14 includes: The transmission constraint information acquisition unit is used to analyze the transmission constraint conditions of the internal local area network, and use the transmission constraint conditions to perform transmission constraint analysis on each node of the interactive service flow path to obtain transmission constraint information.

[0087] The transmission compensation matching information acquisition unit is used to analyze the transmission characteristics of the near field communication transmission, use the transmission characteristics to perform compensation analysis on the transmission constraint information, and obtain transmission compensation matching information.

[0088] The data transmission connection configuration unit is used to use the transmission constraint information and the transmission compensation matching information to search for transmission schemes for each transmission node in the interactive service flow path, and configure the data transmission connection of each node.

[0089] The data interaction processing algorithm acquisition unit is used to obtain the data interaction relationship of each node based on the interactive service flow path, fit the data interaction operation relationship with the output result as the dependent variable and the input result as the independent variable, and obtain the data interaction processing algorithm.

[0090] In some embodiments, the service configuration module 14 further includes: The edge node insertion simulation unit is used to perform edge node insertion simulation based on the interactive service flow path, according to the data interaction processing algorithm and transmission constraint information.

[0091] The edge node insertion determination unit is used to determine whether a transmission node is inserted into the edge node according to the simulated transmission evaluation results before and after the edge node is inserted, and when the difference between the simulated transmission evaluation result after the insertion and the transmission evaluation result before the insertion is greater than a preset threshold, it is determined to insert the edge node into the corresponding transmission node.

[0092] The transmission constraint analysis and evaluation unit is used to perform transmission constraint analysis and evaluation on the interactive service flow path based on the internal local area network structure after the edge node is inserted.

[0093] It should be understood that the embodiments mentioned in this specification focus on their differences from other embodiments. The specific embodiments in the aforementioned embodiment one are also applicable to a smart medical guide service data management system described in embodiment two. For the sake of brevity of the specification, they will not be further expanded here.

[0094] It should be understood that the embodiments disclosed in the present invention and the above description can enable those skilled in the art to use the present invention to implement the present invention. At the same time, the present invention is not limited to the above-mentioned embodiments. It should be understood that those skilled in the art can still modify the technical solutions recorded in the above-mentioned embodiments, or replace some of the technical features therein by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention.

Claims

1. A method for managing data of smart medical guide services, characterized in that: include: The service management end is divided into three levels: patients, doctors, and management, and the cycle nodes of medical guide service data management are analyzed. The cycle nodes are the entire medical guide service life cycle from patient admission to completion of medical treatment; Based on the periodic nodes, node service demand analysis is performed on patients, doctors, and management service management terminals respectively, and a demand service chain is established for each service management terminal; Performing interactive analysis according to the demand service chains of each service management terminal to obtain an interactive service flow path; According to the interactive service flow path, internal LAN and near field communication transmission matching are performed, a data transmission connection and a data interaction processing algorithm are established, and a transmission interface and a processing operator of the interactive service flow path are configured based on the data transmission connection and the data interaction processing algorithm; Based on the transmission interface and the processing operator, the interactive service flow path is subjected to interactive management processing of the full-cycle nodes.

2. The smart medical guide service data management method according to claim 1, characterized in that: Based on the cycle nodes, node service demand analysis is performed on patients, doctors, and management service management terminals respectively, and a demand service chain of each service management terminal is established, including: According to the cycle nodes, the service needs of patients, doctors and management of each service management end are analyzed respectively, and the data source and feedback requirements of each service need are determined; According to the time sequence relationship of the periodic nodes, the data sources and feedback requirements of each service demand are sequentially connected to establish a demand service chain of each service management terminal.

3. The method for managing data of smart medical guide service according to claim 2, characterized in that: Performing interactive analysis based on the demand service chains of each service management terminal to obtain an interactive service flow path includes: According to the periodic nodes, the demand service chains of the service management terminals are node-aligned to establish a multi-node service demand interaction set; According to the multi-node service demand interaction set, respectively analyze the data source and feedback requirements of each service demand in the node service demand interaction set, and establish the data flow relationship of each service demand; The interactive service flow path is obtained by performing causal temporal sequence connection according to the data flow relationship of each service demand.

4. The method for managing data of smart medical guide service according to claim 3, characterized in that: According to the multi-node service demand interaction set, the data source and feedback requirements of each service demand in the node service demand interaction set are respectively analyzed for data flow direction, and the data flow relationship of each service demand is established, including: According to the data source of each service demand, the service management end, storage database, and synchronization data content of the data source are determined, and the service management end, storage database, and synchronization data content of the data source are used as data input tags; According to the feedback requirements of each service demand, determine the service management end, archive database, and feedback data content of the feedback, and use the service management end, archive database, and feedback data content of the feedback as data output tags; A data flow relationship for each service requirement is established according to the data input tag and the data output tag, wherein the input direction of the data flow relationship is the data input tag, the output direction is the data output tag, and the intermediate subject is the service requirement and its corresponding service management terminal.

5. The method for managing data of smart medical guide service according to claim 4, characterized in that: Performing causal temporal sequence connection according to the data flow relationship of each service requirement to obtain the interactive service flow path includes: According to the data flow relationship of each service demand, the flow path of the management end is established with the service management end as the first flow analysis feature; According to the data flow relationship between the database source and the data content, the data content is used as the second flow analysis feature to establish the flow path of the data source; The flow path of the management end is used as the main flow line, and the flow path of the data source is integrated as the flow attribute to construct the interactive service flow path.

6. The method for managing data of smart medical guide service according to claim 1, characterized in that: According to the interactive service flow path, internal LAN and near field communication transmission matching are performed to establish a data transmission connection and a data interaction processing algorithm, including: Parsing the transmission constraint conditions of the internal LAN, and using the transmission constraint conditions to perform transmission constraint analysis on each node of the interactive service flow path to obtain transmission constraint information; Analyzing transmission characteristics of near field communication transmission, using the transmission characteristics to perform compensation analysis on the transmission constraint information, and obtaining transmission compensation matching information; Using the transmission constraint information and the transmission compensation matching information, a transmission scheme search is performed on each transmission node of the interactive service flow path, and a data transmission connection of each node is configured; Based on the interactive service flow path, the data interaction relationship of each node is obtained, and the data interaction operation relationship is fitted with the output result as the dependent variable and the input result as the independent variable to obtain the data interaction processing algorithm.

7. The method for managing data of smart medical guide service according to claim 6, characterized in that: Also includes: Based on the interactive service flow path, according to the data interaction processing algorithm and transmission constraint information, perform edge node insertion simulation; Determine whether to insert a transmission node into the edge node according to the simulated transmission evaluation results before and after the edge node is inserted, and when the difference between the simulated transmission evaluation result after the insertion and the transmission evaluation result before the insertion is greater than a preset threshold, determine to insert the edge node into the corresponding transmission node; The transmission constraint analysis and evaluation of the interactive service flow path is performed based on the internal LAN structure after the edge node is inserted.

8. A smart medical guide service data management system, characterized in that: The management system is used to execute a smart medical guide service data management method according to any one of claims 1 to 7, and the management system includes: The hierarchical division module is used to divide the service management end into three levels: patients, doctors, and management, and analyze the cycle nodes of the medical guide service data management, which are the entire medical guide service life cycle from the patient's admission to the completion of medical treatment; A demand analysis module is used to analyze the node service demand of patients, doctors, and management service management terminals based on the periodic nodes, and establish a demand service chain for each service management terminal; A flow path acquisition module, used to perform interaction analysis according to the demand service chains of each service management terminal to obtain an interactive service flow path; A service configuration module, used to match the internal LAN and near field communication transmission according to the interactive service flow path, establish a data transmission connection and a data interaction processing algorithm, and configure the transmission interface and processing operator of the interactive service flow path based on the data transmission connection and the data interaction processing algorithm; The interaction management processing module is used to perform interaction management processing of the full-cycle nodes on the interaction service flow path based on the transmission interface and the processing operator.

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