Emergency treatment electronic bedside shift exchange system and method based on SBAR shift exchange

Abstract

The invention discloses an emergency electronic bedside shift exchange system and method based on SBAR shift exchange, and relates to the technical field of medical data processing, and the system comprises a data collection module which is used for being connected with a multi-source data collection system, and obtaining a multi-source data set; the SBAR template module is used for constructing an SBAR shift exchange template; the data processing module is used for inputting the multi-source data set into the data processing module and outputting a multi-source fusion data set; the SBAR content generation module is used for generating the content of the SBAR shift exchange template; and the user interaction module is used for calling the content of the SBAR shift exchange template through a user mobile terminal to carry out emergency treatment electronic bedside shift exchange. The technical problems that in the prior art, emergency treatment shift exchange information is not timely and inaccurate to transmit and is prone to omission, so that the emergency treatment shift exchange quality is poor, the medical risk is increased, and the shift exchange efficiency of medical staff is reduced are solved, and the technical effects of improving the emergency treatment shift exchange quality and the shift exchange efficiency of the medical staff and reducing the medical risk are achieved.

Description

Technical Field

[0001] The present application relates to the technical field related to medical data processing, and in particular to an emergency electronic bedside handover system and method based on SBAR handover. Background Art

[0002] In the field of emergency medicine, the handover process is a key step to ensure the continuity of medical information and patient safety. Traditional handovers rely on paper records or manual verbal transmission, which is not only inefficient, but also prone to medical safety risks due to information omissions or subjective interpretation differences. Especially in emergency scenarios, patients' conditions change rapidly and the treatment process is complicated, so the accuracy and timeliness of information are particularly important. However, the current handover model has many shortcomings in the structured and comprehensive nature of information transmission, and it is difficult to meet the high efficiency and high accuracy requirements of the emergency department. The SBAR handover model requires information to be transmitted from four aspects: Situation, Background, Assessment, and Recommendation. It aims to simplify information transmission in a structured manner and reduce communication errors. For example, the current situation will cover key information such as the patient's current vital signs and state of consciousness, avoiding the omission of important information. The successor can understand the patient's disease progression more clearly, understand the patient's medical history from the background information, and then combine the current assessment and recommendations to better grasp the subsequent treatment direction. However, in actual applications, SBAR handovers are easily limited by the writer's experience and ability, and lack the ability to integrate and analyze multi-source data. For example, the dispersion of multi-source information such as patients' vital signs monitoring, laboratory test results, imaging data, and electronic medical records makes it difficult for medical staff to obtain and integrate information in a timely and accurate manner during the handover process, affecting the handover quality and increasing medical risks caused by inaccurate information.

[0003] Therefore, at the current stage, there are technical problems in the technologies related to emergency electronic bedside handover, such as the untimely, inaccurate and easy omission of emergency handover information, which leads to poor quality of emergency handover, increased medical risks and reduced handover efficiency of medical staff. Summary of the invention

[0004] The present application provides an emergency electronic bedside handover system and method based on SBAR handover, thereby solving the technical problems in the prior art of untimely, inaccurate and easy omission of emergency handover information, which leads to poor emergency handover quality, increased medical risks and reduced handover efficiency of medical staff, and achieves the technical effect of improving the quality of emergency handover and the handover efficiency of medical staff and reducing medical risks.

[0005] The present application provides an emergency electronic bedside handover system based on SBAR handover, the system comprising: a data acquisition module, the data acquisition module is used to connect a multi-source data acquisition system to obtain a multi-source data set; an SBAR template module, the SBAR template module is used to construct an SBAR handover template, the SBAR handover template is a structured template; a data processing module, the data processing module is used to input the multi-source data set into the data processing module, perform multi-layer processing according to the data processing module, and output a multi-source fusion data set; an SBAR content generation module, the SBAR content generation module is used to generate the content of the SBAR handover template according to the multi-source fusion data set; and a user interaction module, the user interaction module is used to call the content of the SBAR handover template through a user mobile terminal to perform emergency electronic bedside handover.

[0006] In a possible implementation, the data processing module further performs the following processing: performing data preprocessing on the multi-source data set and outputting the preprocessed multi-source data set; constructing a format conversion template, performing format conversion processing on the preprocessed multi-source data set according to the format conversion template, and outputting the format-converted multi-source data set; and outputting a multi-source fused data set by associating and fusion processing on the format-converted multi-source data set.

[0007] In a possible implementation, the SBAR template module further performs the following processing: the structured template of the SBAR template module includes a current data block, a background data block, an evaluation data block, and a decision support block.

[0008] In a possible implementation, the SBAR content generation module further performs the following processing: extracting basic medical record information from the multi-source fusion data set, and generating the content of the current status data block based on the extracted basic medical record information; identifying the medical history correlation features of the multi-source fusion data set, and generating the content of the background data block based on the medical history correlation features; evaluating the change of the condition of the multi-source fusion data set, and generating the content of the evaluation data block based on the abnormal change indicators obtained by the evaluation; matching the multi-source fusion data set with the medical knowledge graph, and generating the content of the decision support block based on the matching results.

[0009] In a possible implementation, the SBAR content generation module also includes a data update module, and the data update module further performs the following processing: determining whether the multi-source data set includes an incremental data set, and if so, triggering the data update module; the data update module updates the content of the SBAR handover template according to the incremental data set.

[0010] In a possible implementation, the data update module also includes a backtracking query module, and also performs the following processing: the backtracking query module is used to record the historical update log of the data update module, and perform backtracking management according to the time information of the historical update log; when the search keywords of the handover user are obtained, query positioning is performed according to the search keywords of the handover user, and the query results are output.

[0011] In a possible implementation, the user interaction module also includes a permission control component, and further performs the following processing: receiving identity information of the handover user, and verifying the identity information of the handover user; when the verification is passed, determining the permission level according to the identity information of the handover user; and controlling the handover user's access to the content of the SBAR handover template according to the permission level.

[0012] In a possible implementation, the SBAR template module also includes a template matching module, and further performs the following processing: obtaining an SBAR handover template library; collecting disease types, patient information, and department information for emergency electronic bedside handover, matching the disease types, patient information, and department information in the SBAR handover template library, and outputting a matching SBAR handover template.

[0013] The present application also provides an emergency electronic bedside handover method based on SBAR handover, the method comprising: connecting a multi-source data acquisition system to obtain a multi-source data set; constructing an SBAR handover template, wherein the SBAR handover template is a structured template; inputting the multi-source data set into a data processing module, performing multi-layer processing according to the data processing module, and outputting a multi-source fusion data set; generating the content of the SBAR handover template according to the multi-source fusion data set; and calling the content of the SBAR handover template through a user mobile terminal to perform emergency electronic bedside handover.

[0014] The present application proposes an emergency electronic bedside handover system and method based on SBAR handover, a data acquisition module for connecting to a multi-source data acquisition system to obtain a multi-source data set; an SBAR template module for constructing an SBAR handover template; a data processing module for inputting a multi-source data set into the data processing module and outputting a multi-source fusion data set; an SBAR content generation module for generating the content of the SBAR handover template; and a user interaction module for calling the content of the SBAR handover template through the user's mobile terminal to conduct emergency electronic bedside handover. The system solves the technical problems in the prior art of untimely, inaccurate, and easy omission of emergency handover information, which leads to poor quality of emergency handover, increased medical risks, and reduced efficiency of medical staff handover, and achieves the technical effect of improving the quality of emergency handover, the efficiency of medical staff handover, and reducing medical risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solution of the embodiment of the present disclosure, the accompanying drawings of the embodiment of the present disclosure will be briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the system according to the embodiment of the present application. It should be understood that the preceding or following operations are not necessarily performed accurately in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0016] Figure 1 A schematic diagram of the structure of an emergency electronic bedside handover system based on SBAR handover provided in an embodiment of the present application;

[0017] Figure 2 A schematic diagram of the execution process of a data processing module in an emergency electronic bedside handover system based on SBAR handover provided in an embodiment of the present application;

[0018] Figure 3 A flowchart of an emergency electronic bedside handover method based on SBAR handover is provided in an embodiment of the present application.

[0019] Description of reference numerals: data collection module 10 , SBAR template module 20 , data processing module 30 , SBAR content generation module 40 , user interaction module 50 . DETAILED DESCRIPTION

[0020] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0021] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0022] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations are intended to cover non-exclusive inclusions, for example, a process, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0023] The embodiment of the present application provides an emergency electronic bedside handover system based on SBAR handover, such as Figure 1 As shown, the system comprises:

[0024] The data acquisition module 10 is used to connect to a multi-source data acquisition system to acquire a multi-source data set.

[0025] Preferably, the data acquisition module is connected to various information systems and devices within the hospital to obtain multi-source data sets. Specifically, the data acquisition module can automatically obtain the patient's basic information, medical history, drug use records and treatment plans from various information systems of the hospital, such as from the electronic medical record system, and obtain the patient's relevant information in real time through the doctor's order system and the test and inspection system, including the description of the condition, diagnosis results, treatment process, imaging data (such as X-rays, CT or MRI image diagnosis reports), and inspection reports (such as blood routine, liver and kidney function, blood sugar, etc.). By connecting to vital signs monitoring equipment (such as monitors, oximeters, electrocardiogram equipment, etc.), the patient's vital signs data (such as blood pressure, heart rate, respiratory rate, body temperature, etc.) are obtained, and these data are integrated to obtain a multi-source data set.

[0026] The SBAR template module 20 is used to construct a SBAR handover template, and the SBAR handover template is a structured template.

[0027] Preferably, the SBAR handover template is a pre-designed, hierarchical, fixed information framework for guiding emergency medical staff to record and transmit information in accordance with SBAR specifications. Each part of the template has clear content and filling requirements. Specifically, S (Situation) is used to record the patient's current main problems or symptoms, such as the patient's name, gender, age, chief complaint (such as chest pain, dyspnea, etc.) and key changes in vital signs (such as a sudden drop in blood pressure or abnormal heart rate); B (Background) is used to provide the patient's medical history and related background information, such as past medical history, such as chronic diseases such as hypertension and diabetes, current treatment status, ongoing medication, and examination results; A (Assessment) is used for medical staff to evaluate the patient's current condition, such as possible diagnoses (such as considering acute coronary syndrome), laboratory tests, and a summary of imaging test results; R (Recommendation) is used to record the medical staff's specific suggestions and follow-up plans, such as treatment measures that need to be taken (such as emergency infusion or surgical preparation). A structured template means that each part of the template has a fixed title and content framework for easy filling and reference, and all input content is organized according to predefined standards and formats to reduce subjective differences and information omissions.

[0028] The data processing module 30 is used to input the multi-source data set into the data processing module, perform multi-layer processing according to the data processing module, and output a multi-source fused data set.

[0029] Preferably, the data processing module performs multi-level processing on the multi-source data set obtained by the data acquisition module, and integrates the scattered and heterogeneous data into a multi-source fusion data set to support the filling and use of the SBAR handover template. Specifically, the data processing module performs multi-level processing on the multi-source data set, including data cleaning and preprocessing, such as outlier detection and correction, detecting missing values ​​and outliers in the data (such as abnormal measurement results in vital signs) and correcting or completing them, standardizing the data format, unifying the formats of data from different sources, such as unifying the time format into a standard format to ensure the consistency of the data time sequence, removing noise and redundant data, and correcting the redundant data in the data. The remaining parts (such as repeatedly collected data) are filtered, and the noise of unstructured data is removed (such as artifact processing in medical images); data fusion and association, integrating data from different systems into a unified data set to ensure the integrity of information, that is, to associate and fuse different types of patient data to comprehensively and accurately reflect the patient's condition and treatment. For example, the patient's symptom description, diagnosis results and examination and test data are associated to provide doctors with more comprehensive information support, such as matching the real-time data of vital signs with laboratory test results, and extracting key content from the diagnosis report and associating it with structured data. The data processing module finally outputs a multi-source fusion data set and ensures the integrity, format compatibility and logical structuring of the data, that is, stratification and classification are carried out according to the requirements of the SBAR template to facilitate subsequent module calls.

[0030] The SBAR content generation module 40 is used to generate the content of the SBAR handover template according to the multi-source fusion data set.

[0031] Preferably, the SBAR content generation module automatically generates standardized handover content based on the multi-source fusion data set and in accordance with the structural requirements of the SBAR template, that is, converting complex patient data into clear and easy-to-understand handover information for direct use by medical staff. Specifically, the SBAR content generation module extracts key information required by the SBAR handover template from the multi-source fusion data set, fills the selected information into corresponding fields according to the four parts of SBAR (S, B, A, R) to form a complete handover content, and processes the content generated in the data processing stage in natural language to ensure that the handover information is clearly and accurately expressed. Based on the acquired patient data, the patient's condition is intelligently analyzed and judged using artificial intelligence algorithms and machine learning technologies, and the content of each part of the SBAR is automatically generated. For example, the patient's condition status is judged based on the patient's vital signs data, symptoms and examination and test results; the background and related factors of the condition are analyzed based on the patient's previous medical history, treatment process and other information; the evaluation results and suggestions of the condition are given through a comprehensive evaluation of the data; the system provides a variety of SBAR templates, and automatically selects appropriate templates for content generation according to different disease types, patient conditions and department needs. At the same time, doctors and nurses are allowed to customize and adjust the template according to actual conditions to meet personalized handover needs; the generated SBAR content is converted into natural language text for doctors and nurses to read and understand. In the process of language generation, attention should be paid to the accuracy, conciseness and standardization of the language to avoid ambiguous or vague expressions; the system monitors the patient's data in real time, and can automatically trigger the update of the SBAR content when the patient's condition changes, new test results come out, or the treatment plan is adjusted. For example, when the patient's heart rate suddenly rises or the blood pressure drops, the system will immediately update the patient's current status and prompt doctors and nurses to pay attention. Incremental updates are used to update only the changed content to avoid repeated generation and transmission of large amounts of data. At the same time, it ensures that the updated content can be synchronized to the terminal devices of doctors and nurses in a timely manner so that they can keep up to date with the patient's latest situation.

[0032] The user interaction module 50 is used to call the content of the SBAR handover template through the user mobile terminal to perform emergency electronic bedside handover.

[0033] Preferably, a concise, intuitive, and easy-to-use user interface is designed to facilitate doctors and nurses to view, edit, and confirm the handover content. The interface should be able to clearly display the content of each part of the SBAR, provide convenient input and selection methods, and support rapid retrieval and query of patient information. Specifically, the user interaction module supports medical staff to obtain and remotely access the SBAR handover template content in real time through mobile terminals (medical staff mobile devices), facilitate the completion of part of the handover preparation during the mobile process, and realize the emergency electronic bedside handover (providing convenience for medical staff to directly transmit handover information at the patient's bedside, reducing the need for traditional paper handover or fixed terminals). The system automatically generates or updates SBAR content, and promptly sends reminder messages to doctors and nurses through the user interaction module to ensure that they can pay attention to the latest situation of the patients in a timely manner. At the same time, doctors and nurses are allowed to provide feedback and confirmation on the generated content. If there are any questions or errors, they can be modified and adjusted in time. At the same time, a strict permission management mechanism is established to ensure that only authorized doctors and nurses can access and modify the handover content. At the same time, security measures such as data encryption and access control are taken to ensure the security and privacy of patient information.

[0034] An emergency electronic bedside handover system based on SBAR handover according to an embodiment of the present invention is used to solve the technical problems in the prior art that emergency handover information is not transmitted in a timely, accurate, or easily missed manner, resulting in poor emergency handover quality, increased medical risks, and reduced handover efficiency of medical staff, thereby achieving the technical effect of improving emergency handover quality and medical staff handover efficiency and reducing medical risks. An emergency electronic bedside handover system based on SBAR handover includes: a data acquisition module 10, an SBAR template module 20, a data processing module 30, an SBAR content generation module 40, and a user interaction module 50.

[0035] The specific configuration of the data processing module 30 will be described in detail below. Figure 2 As shown, the execution steps of the data processing module 30 include: performing data preprocessing on the multi-source data set and outputting the preprocessed multi-source data set; constructing a format conversion template, performing format conversion processing on the preprocessed multi-source data set according to the format conversion template, and outputting the format-converted multi-source data set; and outputting the multi-source fused data set by associating and fusing the format-converted multi-source data set.

[0036] Preferably, data preprocessing is performed on the multi-source data set to clean, standardize and organize the original data to improve the quality and efficiency of subsequent processing, including missing value processing (using interpolation methods or statistical averages to fill data gaps, for example, the missing part of vital signs data can be predicted by trend interpolation), outlier detection and correction (detecting outliers in the data through rules, for example, a heart rate higher than 200 beats / minute may be a device reading error), duplicate data removal (clearing redundant records in the data set to avoid the impact of multiple repeated collections), time series alignment, aligning the timestamps of real-time monitoring data (such as vital signs), ensuring the synchronization of different data sources, and outputting the preprocessed multi-source data set; constructing a format conversion template, that is, defining a framework for data conversion rules, unifying data in different formats into a standard format recognizable by the system, including defining standard names for data fields, specifying data types, and specifying data units; then performing format conversion processing on the preprocessed multi-source data set The system can be used to map fields with different naming methods in different systems to standard fields, unify incompatible data types, convert units for numerical data, and perform lossless compression on data that occupies a large space (such as images), and output a multi-source data set after format conversion; by analyzing the inherent correlation between multi-source data, the scattered data is integrated into a complete, multi-dimensional data set to support the generation of SBAR handover templates. Specifically, data from different systems are associated according to the patient's unique identifier (such as ID number), and real-time data and historical data are integrated based on timestamps. For example, the trend of vital signs is matched with the time point of laboratory examinations. Natural language processing technology is used to analyze diagnostic texts and establish semantic relationships with structured data. Finally, data of different modalities (such as text, images, waveforms) are fused through feature extraction. For example, the key features of the electrocardiogram are extracted and matched with the heart rate in the vital signs data, and finally the integrated multi-source fusion data set is output.

[0037] The specific configuration of the SBAR template module 20 will be described in detail below. The execution steps of the SBAR template module 20 include: the structured template of the SBAR template module includes a current data block, a background data block, an evaluation data block and a decision support block.

[0038] Preferably, the structured template of the SBAR template module is divided into a current data block, a background data block, an evaluation data block, and a decision support block to achieve systematic and standardized organization of information. Specifically, the current data block records the patient's current main problems and conditions, emphasizing the key points that need to be paid attention to, such as the patient's basic information, main symptoms, key vital signs, current condition, etc.; the background data block provides background information related to the patient's condition to help the successor understand the patient's medical history and previous medical process, such as the patient's important medical history (such as chronic diseases, surgical history), current treatment status (medication or The evaluation data block conducts a professional assessment of the patient's condition based on the current situation and background information, and proposes a preliminary diagnosis or analysis, including diagnostic analysis, treatment response assessment, and important risk warnings (such as the risk of bleeding, close monitoring is recommended); the decision support block clarifies the next recommendations and treatment plans, including specific operational instructions and precautions, including treatment recommendations (such as adjusting drug dosages, preparing for surgery, etc.), special care precautions (such as "strictly record intake and output to prevent fluid overload"), and emergency response plans (such as "notify the doctor immediately if shortness of breath occurs").

[0039] The specific configuration of the SBAR content generation module 40 will be described in detail below. The execution steps of the SBAR content generation module 40 include: extracting basic medical record information from the multi-source fusion data set, generating the content of the current situation data block according to the extracted basic medical record information; identifying the medical history correlation characteristics of the multi-source fusion data set, and generating the content of the background data block according to the medical history correlation characteristics; evaluating the condition change of the multi-source fusion data set, and generating the content of the evaluation data block according to the abnormal change indicators obtained by the evaluation; matching the multi-source fusion data set with the medical knowledge graph, and generating the content of the decision support block according to the matching results.

[0040] Preferably, real-time vital signs data and symptom manifestations are used to determine the severity of the patient's current condition (such as whether there is an acute crisis), and a rule engine is used to detect abnormal values ​​(such as blood pressure>180 / 120mmHg); if the vital signs are abnormal, a description similar to "the patient is currently in a critical state, the heart rate is significantly increased, and the blood oxygen saturation is less than 90%" is generated; if the vital signs are normal, a description similar to "the patient's current vital signs are stable" is generated; the patient's medical history, medication records and past examination results are extracted, the medical history relevance is analyzed (such as the risk of hyperglycemia in diabetic patients), and a medical history matching algorithm is used to generate a background description, such as "the patient has a history of diabetes for 2 years and is receiving insulin treatment" and "the patient is recovering after surgery and has a history of lung infection"; by analyzing the dynamic changes of the patient's condition, that is, analyzing the changing trends of vital signs or laboratory data (such as a continuous decrease in blood pressure), abnormal changes are identified Optimize indicators and evaluate disease trends. For example, use machine learning or rule matching technology to identify abnormal changes (such as "significantly elevated troponin") and summarize disease assessment results based on data changes (such as "preliminary diagnosis of acute coronary syndrome"). The medical knowledge graph is a knowledge base that associates diseases, symptoms, examinations, treatment plans and other information in the medical field. Specifically, the patient's current data (such as symptoms, examination results) is matched with disease characteristics and treatment plans in the knowledge graph. For example, chest pain and ST-segment elevation are associated with acute myocardial infarction. According to the recommendations of the knowledge graph, optional diagnosis or treatment plans are provided, and the matching results are converted into specific suggestions or plans, which are filled in the decision support block, such as treatment plans (such as "coronary artery intervention is recommended"), nursing measures (such as "closely monitor blood pressure and heart rate"), and emergency plans (such as "if blood pressure drops suddenly, use dopamine immediately").

[0041] The specific configuration of the SBAR content generation module 40 will be described in detail below. The SBAR content generation module also includes a data update module, and the execution steps of the data update module include: determining whether the multi-source data set includes an incremental data set, and if so, triggering the data update module; the data update module updates the content of the SBAR handover template according to the incremental data set.

[0042] Preferably, the data update module monitors the changes in the multi-source data set (incremental data set) in real time, and dynamically updates the existing SBAR handover template content to ensure that the handover content always reflects the latest patient condition and medical information, thereby improving the accuracy and timeliness of the handover. Specifically, it is determined whether the multi-source data set includes an incremental data set, where the incremental data set refers to a newly added or updated part in the multi-source data set, including real-time collected vital signs data (such as the latest blood pressure, heart rate), newly completed examination or test results (such as laboratory reports, imaging diagnosis), etc. Compared with the original data, the incremental data set includes It contains a timestamp to identify the latest status of the data; the data update module continuously monitors the multi-source data set to detect whether incremental data appears. For example, if the timestamp of the incremental data is later than that of the current data, the data update module is triggered at this time; the data update module updates the content of the SBAR handover template according to the incremental data set, including determining the template block that needs to be updated according to the type of incremental data, overwriting the original data (such as the latest blood pressure value) with the incremental data, appending new content to the template (such as the newly added examination results), and updating the content information of the template block in real time, thereby improving the accuracy and efficiency of the handover process in high-dynamic scenarios in the emergency department.

[0043] The specific configuration of the SBAR content generation module 40 will be described in detail below. The data update module also includes a retrospective query module, which includes: recording the historical update log of the data update module, performing retrospective management according to the time information of the historical update log; when obtaining the search keyword of the handover user, performing query positioning according to the search keyword of the handover user, and outputting the query result.

[0044] Preferably, the retrospective query module in the data update module is used to record and manage the historical logs of data updates, and supports locating and displaying historical update information according to the query requirements of the handover user. Specifically, each time the data update module modifies the content of the SBAR template, the retrospective query module will automatically record the log, including the update time, update content, update source, etc., and sort, filter and trace the historical log according to the time information, so that medical staff can understand the information change process during the handover process. The handover user can quickly locate the relevant update content through keywords. During the handover process, the user can enter keywords to query the content of interest, such as entering "heart rate" to view all update records involving heart rate data. It also supports multiple keyword joint queries. For example, the query of "troponin + heart rate" involves logs of both changes at the same time; each time the data update module completes the processing of incremental data and modifies the SBAR template content, a log record is triggered, and structured storage (such as a database or log file) is used. Each log record includes a timestamp, update content, data source, and operator information. It is classified and stored according to time, data source, or update field, and the update log is quickly retrieved through indexing technology (such as a timestamp-based index); allowing users to view the status of the SBAR template content at a specific point in time, which is convenient for tracking content changes during the handover process. Specifically, according to the time period selected by the user, all update logs within the corresponding time range are retrieved, and the SBAR template status at that time is restored, and the changes in a certain field before and after the specified time point are displayed.

[0045] The specific configuration of the user interaction module 50 will be described in detail below. The user interaction module 50 also includes a permission control component, which is used to perform the following steps: receiving the identity information of the handover user, and verifying the identity information of the handover user; when the verification is passed, determining the permission level according to the identity information of the handover user; and controlling the handover user's access to the content of the SBAR handover template according to the permission level.

[0046] Preferably, user identity authentication and permission control are key mechanisms to ensure information security and reasonable access to the SBAR handover template. By verifying the identity information of the handover user and assigning permission levels, the security of sensitive medical information is ensured, and refined permission management is achieved. Specifically, the user enters the identity information through a login device (such as a smart terminal) or submits the identity information through hardware collection (such as fingerprint scanning), receives the identity information of the handover user, and transmits it to the verification module after encryption; based on the user name and password, a comparison and verification is performed through the hospital's user database or a third-party identity authentication platform to verify the user's identity, including checking whether the user name and password match, and checking whether the biometric data is consistent with the stored information. After the verification is passed, the user's identity is confirmed, and the permission level allocation link is entered. Different permission levels correspond to the content range that the user can access. For example, the first-level permission (ordinary nurse) can only view part of the Level 2 authority (doctor on duty) can view most medical record information, such as vital signs, medical history, and examination results; level 3 authority (department director or manager) can view all data, including decision-making support content, sensitive records, etc., and can dynamically adjust permissions according to the user's current handover task. For example, permissions may be temporarily elevated in an emergency scenario. Based on the user's permission level, their access rights to different template blocks are controlled. The current status data block can be viewed by low-authority users; the background data block is only open to medium and high-authority users; the evaluation data block can be viewed by medium-authority users, and low-authority users are restricted; the decision support block is exclusive to high-authority users and involves sensitive decision-making information. The user's access rights to the SBAR handover template are accurately controlled to ensure the security and privacy of information, and to improve the user's handover efficiency and system usage experience.

[0047] The specific configuration of the SBAR template module 20 will be described in detail below. The SBAR template module 20 also includes a template matching module, which is used to perform the following steps: obtaining an SBAR handover template library; collecting disease types, patient information, and department information for emergency electronic bedside handover, matching the SBAR handover template library according to the disease types, patient information, and department information, and outputting a matching SBAR handover template.

[0048] Preferably, the template matching module in the SBAR template module is used to select the template that best suits the current emergency scenario from the SBAR handover template library, so as to quickly generate a functional module for standardized and personalized handover information, wherein the SBAR handover template library stores multiple predefined SBAR handover templates. Specifically, the template matching module determines the needs of the current handover scenario by collecting disease types, patient information and department information for emergency electronic bedside handover, wherein the disease type reflects the main condition of the patient and is used to select a template related to the condition in the template library, the patient information describes the basic characteristics and individual needs of the patient and is used to refine the template content, and the department information determines the department to which the patient is currently located or is about to be transferred and is used to select an adapted version of the template; then, matching conditions are generated according to the collected disease types, patient information and department information, and suitable templates are selected from the SBAR template library according to the matching conditions, including preferentially selecting templates with complete disease type matching, secondary screening of templates that meet department requirements, and further screening of templates that meet individual patient characteristics (such as age and previous medical history), and finally determining the best matching template and outputting it as the SBAR template used for the current handover.

[0049] In the above, refer to Figure 1 The present invention describes in detail an emergency electronic bedside handover system based on SBAR handover according to an embodiment of the present invention. Figure 3 An emergency electronic bedside handover method based on SBAR handover according to an embodiment of the present invention is described.

[0050] An emergency electronic bedside handover method based on SBAR handover, such as Figure 3 As shown, the method includes: connecting a multi-source data acquisition system to obtain a multi-source data set; constructing an SBAR handover template, wherein the SBAR handover template is a structured template; inputting the multi-source data set into a data processing module, performing multi-layer processing according to the data processing module, and outputting a multi-source fusion data set; generating the content of the SBAR handover template according to the multi-source fusion data set; and calling the content of the SBAR handover template through a user mobile terminal to perform emergency electronic bedside handover.

[0051] In a possible implementation, the emergency electronic bedside handover method based on SBAR handover also includes: extracting basic medical record information from the multi-source fusion data set, and generating the content of the current status data block according to the extracted basic medical record information; identifying the medical history correlation characteristics of the multi-source fusion data set, and generating the content of the background data block according to the medical history correlation characteristics; evaluating the change of the condition of the multi-source fusion data set, and generating the content of the evaluation data block according to the abnormal change indicators obtained by the evaluation; matching the multi-source fusion data set with the medical knowledge graph, and generating the content of the decision support block according to the matching results.

[0052] Although the present application makes various references to certain modules in the system according to the embodiments of the present application, any number of different modules may be used and run on the user terminal and / or server, and the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0053] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. An emergency electronic bedside handover system based on SBAR handover, characterized in that: The system comprises: A data acquisition module, wherein the data acquisition module is used to connect to a multi-source data acquisition system to obtain a multi-source data set; An SBAR template module, wherein the SBAR template module is used to construct an SBAR handover template, wherein the SBAR handover template is a structured template; A data processing module, wherein the data processing module is used to input the multi-source data set into the data processing module, perform multi-layer processing according to the data processing module, and output a multi-source fused data set; An SBAR content generation module, the SBAR content generation module is used to generate the content of the SBAR handover template according to the multi-source fusion data set; A user interaction module is used to call the content of the SBAR handover template through a user mobile terminal to perform emergency electronic bedside handover.

2. The system according to claim 1, characterized in that The data processing module is used to perform the following steps: Performing data preprocessing on the multi-source data set, and outputting the preprocessed multi-source data set; Constructing a format conversion template, performing format conversion processing on the preprocessed multi-source data set according to the format conversion template, and outputting the multi-source data set after format conversion; By performing associative fusion processing on the multi-source data sets after format conversion, a multi-source fused data set is output.

3. The system according to claim 1, characterized in that The structured template of the SBAR template module includes a current status data block, a background data block, an assessment data block and a decision support block.

4. The system according to claim 3, characterized in that The SBAR content generation module is used to perform the following steps: Extracting basic medical record information from the multi-source fusion data set, and generating the content of the current status data block according to the extracted basic medical record information; Identify the medical history correlation features of the multi-source fusion data set, and generate the content of the background data block according to the medical history correlation features; By evaluating the disease condition change of the multi-source fusion data set, the content of the evaluation data block is generated according to the abnormal change index obtained by the evaluation; The multi-source fusion data set is matched with the medical knowledge graph, and the content of the decision support block is generated according to the obtained matching results.

5. The system according to claim 1, wherein: The SBAR content generation module further includes a data updating module, and the data updating module is used to perform the following steps: Determine whether the multi-source data set includes an incremental data set, and if so, trigger the data update module; The data updating module updates the content of the SBAR handover template according to the incremental data set.

6. The system according to claim 5, characterized in that The data update module also includes a backtracking query module, which is used to record the historical update log of the data update module and perform backtracking management according to the time information of the historical update log; When the search keywords of the handover user are obtained, query positioning is performed according to the search keywords of the handover user, and query results are output.

7. The system according to claim 1, characterized in that The user interaction module further includes a permission control component, which is used to perform the following steps: receiving identity information of the handover user, and verifying the identity information of the handover user; When the verification is passed, the permission level is determined according to the identity information of the handover user; The permission of the handover user to access the content of the SBAR handover template is controlled according to the permission level.

8. The system of claim 1, wherein: The SBAR template module further includes a template matching module, and the template matching module is used to perform the following steps: Get the SBAR handover template library; The disease type, patient information and department information used for emergency electronic bedside handover are collected, and the SBAR handover template library is matched according to the disease type, patient information and department information, and the matching SBAR handover template is output.

9. An emergency electronic bedside handover method based on SBAR handover, the method being applied to an emergency electronic bedside handover system based on SBAR handover according to claims 1 to 8, the method comprising: Connect to multi-source data acquisition systems to obtain multi-source data sets; Constructing an SBAR handover template, wherein the SBAR handover template is a structured template; Inputting the multi-source data set into a data processing module, performing multi-layer processing according to the data processing module, and outputting a multi-source fused data set; Generating the content of the SBAR handover template according to the multi-source fusion data set; The emergency electronic bedside handover is performed by calling the content of the SBAR handover template through the user's mobile terminal.

10. The method for emergency electronic bedside handover based on SBAR handover as claimed in claim 9, characterized in that: The content of the SBAR handover template is generated according to the multi-source fusion data set, including: Extracting basic medical record information from the multi-source fusion data set, and generating the content of the current status data block according to the extracted basic medical record information; Identify the medical history correlation features of the multi-source fusion data set, and generate the content of the background data block according to the medical history correlation features; By evaluating the disease condition change of the multi-source fusion data set, the content of the evaluation data block is generated according to the abnormal change index obtained by the evaluation; The multi-source fusion data set is matched with the medical knowledge graph, and the content of the decision support block is generated according to the obtained matching results.

Images