Medical safety incident analysis and processing method, equipment and storage medium

Abstract

The present application provides a medical safety event analysis and processing method, device and storage medium, which relates to the field of medical information technology. The method includes displaying an abnormal event decision tree in a first area in a graphical user interface; determining a second decision node from multiple decision nodes according to a first decision selection operation for a target medical safety event input through a first decision node among multiple decision nodes in the abnormal event decision tree; determining a third decision node from multiple decision nodes according to a second decision selection operation for a target medical safety event input through a second decision node; if the third decision node is the terminal decision node in the abnormal event decision tree, determining the preset disposal information corresponding to the terminal decision node as the target disposal information of the target medical safety event. The method provided by the present application can automatically derive the target disposal information of the target medical safety event according to the decision tree, with high accuracy and saving the user's time.

Description

Technical Field

[0001] The present application relates to the field of medical information technology, and more specifically, to a medical safety incident analysis and processing method, device, and storage medium. Background Art

[0002] In medical work, the occurrence of medical safety incidents is inevitable. When a medical safety incident occurs, it is necessary to find the cause of the incident and then determine whether medical service rectification is needed based on the cause and severity of the incident.

[0003] Currently, when analyzing the causes of medical safety incidents, conclusions are usually drawn through discussions with team members and manual analysis, which takes a lot of time and is easily affected by subjective factors, resulting in the inability to find the root causes of medical safety incidents. Summary of the invention

[0004] The purpose of this application is to provide a medical safety incident analysis and processing method, device and storage medium to address the deficiencies in the above-mentioned prior art, so as to solve the problems existing in the prior art.

[0005] To achieve the above purpose, the technical solution adopted in the embodiment of the present application is as follows:

[0006] In a first aspect, an embodiment of the present application provides a method for analyzing and processing medical safety incidents, including:

[0007] Displaying an abnormal event decision tree in a first area of ​​the graphical user interface;

[0008] According to a first decision selection operation for a target medical safety event input through a first decision node among a plurality of decision nodes in the abnormal event decision tree, determining a second decision node from the plurality of decision nodes;

[0009] Determine a third decision node from the plurality of decision nodes according to a second decision selection operation for the target medical safety event input through the second decision node;

[0010] If the third decision node is the terminal decision node in the abnormal event decision tree, the preset handling information corresponding to the terminal decision node is determined as the target handling information of the target medical safety event.

[0011] In one embodiment, the determining a second decision node from among the plurality of decision nodes in the abnormal event decision tree according to a first decision selection operation for a target medical safety event input through a first decision node includes:

[0012] According to the branch flow information selected by the first decision selection operation, a decision node corresponding to the branch flow information is determined from the multiple decision nodes as the second decision node.

[0013] In one embodiment, according to the first decision selection operation for the target medical safety event input through the first decision node among the multiple decision nodes in the abnormal event decision tree, after determining the second decision node from the multiple decision nodes, the method further includes:

[0014] The second decision node, the first decision node, and the connection between the first decision node and the second decision node in the abnormal event decision tree are all highlighted with a first color.

[0015] In one embodiment, if the third decision node is after the terminal decision node in the abnormal event decision tree, the method further includes:

[0016] The preset processing information corresponding to the terminal decision node in the abnormal event decision tree is highlighted in a second color.

[0017] In one embodiment, the method further comprises:

[0018] Displaying a risk level determination table in the second area of ​​the graphical user interface, the risk level determination table including: determination information of multiple types of occurrence frequencies, the determination information of each type of occurrence frequency including: information of multiple risk levels corresponding to each type of occurrence frequency;

[0019] Determine a target frequency classification from the multiple occurrence frequencies according to historical medical safety events of the target medical unit corresponding to the target medical safety event reported in the past;

[0020] Highlighting the determination information corresponding to the target frequency classification in the graphical user interface;

[0021] According to a selection operation on a target risk level among the multiple risk levels, information of the target risk level is highlighted in the graphical user interface.

[0022] In one embodiment, the method further comprises:

[0023] A determination conclusion for the target medical safety event is generated based on the target treatment information and the target risk level.

[0024] In one embodiment, generating a determination conclusion for the target medical safety event according to the target treatment information and the target risk level further includes:

[0025] Determine, based on the target risk level, whether the target medical safety event triggers a preset analysis and rectification condition, and obtain a trigger determination conclusion of the analysis and rectification of the target medical safety event;

[0026] The judgment conclusion is generated based on the analysis and rectification trigger judgment conclusion, the target disposal information and the target risk level using a preset speech template.

[0027] In one embodiment, the method further comprises:

[0028] If the determination conclusion indicates that the target medical safety event triggers the analysis and rectification condition, the determination conclusion and process information of the target medical safety event are sent to the target audit unit corresponding to the target medical unit.

[0029] In a second aspect, an embodiment of the present application provides a computer device, comprising: a processor, a storage medium and a bus, wherein the storage medium stores program instructions executable by the processor, and when the computer device is running, the processor communicates with the storage medium through the bus, and the processor executes the program instructions to perform the medical safety incident analysis and processing method as described in the above embodiment.

[0030] In a third aspect, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the medical safety incident analysis and processing method as described in the above embodiment is executed.

[0031] Optionally, an embodiment of the present application provides a medical safety event analysis and processing device, including:

[0032] A display module, configured to display an abnormal event decision tree in a first area of ​​a graphical user interface;

[0033] A first determination module, configured to determine a second decision node from among the plurality of decision nodes in the abnormal event decision tree according to a first decision selection operation for a target medical safety event input through a first decision node among the plurality of decision nodes in the abnormal event decision tree;

[0034] A second determination module, configured to determine a third decision node from the plurality of decision nodes according to a second decision selection operation for the target medical safety event input through the second decision node;

[0035] An information determination module is used to determine, if the third decision node is the terminal decision node in the abnormal event decision tree, the preset handling information corresponding to the terminal decision node as the target handling information of the target medical safety event.

[0036] The beneficial effect of the present application is: the present application provides a medical safety incident analysis and processing method, including: displaying an abnormal event decision tree in a first area in a graphical user interface; determining a second decision node from multiple decision nodes based on a first decision selection operation for a target medical safety incident input through a first decision node among multiple decision nodes in the abnormal event decision tree; determining a third decision node from multiple decision nodes based on a second decision selection operation for a target medical safety incident input through a second decision node; if the third decision node is a terminal decision node in the abnormal event decision tree, determining the preset disposal information corresponding to the terminal decision node as the target disposal information for the target medical safety incident.

[0037] Among them, automatically determining the target disposal information of the target medical safety event based on the abnormal event decision tree can improve the accuracy of obtaining the target disposal information, and does not require manual analysis by the user, saving the user's time. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0039] Figure 1 One of the flowcharts of the medical safety incident analysis and processing method provided in one embodiment of the present application;

[0040] Figure 2 One of the schematic diagrams of a graphical user interface provided by an embodiment of the present application;

[0041] Figure 3 A second flowchart of a method for analyzing and processing medical safety incidents provided in an embodiment of the present application;

[0042] Figure 4 A second schematic diagram of a graphical user interface provided in accordance with an embodiment of the present application;

[0043] Figure 5 A third schematic diagram of a graphical user interface provided in an embodiment of the present application;

[0044] Figure 6 A third flowchart of a method for analyzing and processing medical safety incidents provided in an embodiment of the present application;

[0045] Figure 7 A fourth schematic diagram of a graphical user interface provided in an embodiment of the present application;

[0046] Figure 8 A schematic diagram of the structure of a medical safety incident analysis and processing device provided in one embodiment of the present application;

[0047] Fig. 9 A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments.

[0049] Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application for which protection is sought, but merely represents selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0050] In addition, the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0051] An embodiment of the present application provides a method for analyzing and processing medical safety incidents, which can be generated by any computer device. The computer device can be, for example, a terminal-oriented computer device or a back-end server. It should be noted that the features in the embodiments of the present application can be combined with each other without conflict.

[0052] The following is a specific example description of the medical safety incident analysis and processing method provided in this application through multiple examples in combination with the accompanying drawings.

[0053] Figure 1 This is one of the flow charts of the medical safety incident analysis and processing method provided in one embodiment of the present application. Figure 2 One of the schematic diagrams of a graphical user interface provided in an embodiment of the present application, such as Figure 1 and Figure 2As shown, the method includes:

[0054] S101. Display an abnormal event decision tree in a first area of ​​a graphical user interface.

[0055] In the present application, an abnormal event decision tree can be displayed in the first area of ​​the graphical user interface, and the abnormal event decision tree can be used to automatically determine the target treatment information of the target medical safety event.

[0056] Among them, an abnormal event decision tree can be built in advance through a general process agreed upon by the medical industry; the target medical safety event is a medical safety event whose cause needs to be analyzed; and the graphical user interface supports display and touch operations on a PC, mobile phone or tablet.

[0057] S102. Determine a second decision node from among multiple decision nodes according to a first decision selection operation for a target medical safety event input through a first decision node among multiple decision nodes in an abnormal event decision tree.

[0058] like Figure 2 As shown, the abnormal event decision tree includes multiple decision nodes such as intentional injury review, capability review, external review, and situational review. In this embodiment, the intentional injury review node is set as the first decision node. After the abnormal event decision tree is displayed in the first area of ​​the graphical user interface, the user can perform a first decision selection operation on the first decision node (intentional injury review node), thereby determining the decision node corresponding to the branch flow information from multiple decision nodes as the second decision node based on the branch flow information (yes or no) selected by the intentional injury review node.

[0059] For example, Figure 2 In the example, there are two nodes connected to the intentional injury review node, namely, the "capability review" node and the "whether to intentionally cause bad results" node. When no selection operation is performed on the node on the abnormal event decision tree, the intentional injury review node displays "yes" and "no" buttons by default. If the user performs a "yes" selection operation on the intentional injury review node, the node connected to the intentional injury review node with a dotted line is used as the second decision node, that is, the "whether to intentionally cause bad results" node is used as the second decision node, and the "yes" and "no" buttons are displayed on the "whether to intentionally cause bad results" node; if the user performs a "no" selection operation on the intentional injury review node, the node connected to the intentional injury review node with a solid line is used as the second decision node, that is, the "capability review" node is used as the second decision node, and the "yes" and "no" buttons are displayed on the "capability review" node.

[0060] S103. Determine a third decision node from multiple decision nodes according to a second decision selection operation for a target medical safety event input through the second decision node.

[0061] After the second decision node is determined, a third decision node can be determined from multiple decision nodes based on a second decision selection operation for the target medical safety event input through the second decision node.

[0062] Taking the second decision node being determined as the "Capability Review" node as an example, after the capability review node displays the "Yes" and "No" buttons, the user can continue to perform the second decision selection operation on the capability review node through the "Yes" and "No" buttons, which is the same as the logic in S102. If the user performs a "No" selection operation on the capability review node, the node connected to the capability review node by a solid line will be used as the third decision node, that is, the "External Review" node will be used as the third decision node, and the "Yes" and "No" buttons will be displayed on the "External Review" node.

[0063] S104. If the third decision node is the terminal decision node in the abnormal event decision tree, the preset handling information corresponding to the terminal decision node is determined as the target handling information of the target medical safety event.

[0064] Continue to refer to Figure 2 ,The abnormal event decision tree contains multiple terminal decision nodes, including: whether it is intentional to cause bad results; whether there is a known disease; whether there is evidence of dangerous behavior; whether there are remedial measures or avoidable conditions; whether other people make the same mistakes in similar situations; whether there are any deficiencies in education, training or supervision, etc. The preset disposal information corresponding to each terminal decision node includes: sending to the reward and punishment committee, considering suspension, transfer and professional health assessment; considering adjusting the position and conducting professional health assessment; considering strengthening training, improving supervision or appropriately adjusting the position; system management issues, etc.

[0065] When the third decision node is determined, if the third decision node is the terminal decision node in the abnormal event decision tree, the preset disposal information corresponding to the terminal decision node is determined as the target disposal information of the target medical safety event. For example, if the third decision node is "whether it is intentional to cause bad results", "send to the reward and punishment committee, consider suspension, transfer and conduct professional health assessment" is determined as the target disposal information of the target medical safety event; if the third decision node is "whether there is evidence showing that dangerous behavior has been taken", "consider strengthening training, improving supervision or appropriately adjusting positions" is determined as the target disposal information of the target medical safety event.

[0066] It should be noted that in this application, if you need to modify the selection operation of a selected decision node, you can directly click on the decision node without going back to modify it step by step. It should also be noted that in this application, the third decision node can be any terminal decision node in the abnormal event decision tree, and "third" is used to distinguish similar objects, rather than to limit a specific order or sequence.

[0067] In summary, this embodiment provides a medical safety incident analysis and processing method, which has the characteristics of visual recognizability and interactive friendliness, which helps users to understand and operate the abnormal event decision tree more intuitively, and automatically determines the target disposal information of the target medical safety incident through the abnormal event decision tree, which can improve the accuracy of obtaining the target disposal information, and does not require manual analysis by the user, thereby reducing workload and saving user time.

[0068] In another embodiment, after the second decision node is determined from multiple decision nodes, the second decision node, the first decision node, and the connection between the first decision node and the second decision node in the abnormal event decision tree can all be highlighted with a first color. In the present application, the first color is blue. For example, after "capability review" is determined as the second decision node, the "intentional injury review" node and the connection between the "capability review" and the "intentional injury review" nodes are all highlighted in blue.

[0069] After determining that the third decision node is the terminal decision node in the abnormal event decision tree, the preset processing information corresponding to the terminal decision node in the abnormal event decision tree can also be highlighted with a second color. In the present application, the second color is orange. For example, after determining that the third decision node is "whether there is evidence showing that dangerous behavior has been taken", its corresponding preset processing information "consider strengthening training, improving supervision or appropriately adjusting positions" is highlighted in orange.

[0070] In the above embodiment, the second decision node, the connection between the first decision node and the second decision node are highlighted with the first color, and the terminal decision node and the corresponding preset processing information are highlighted with the second color, thereby highlighting the analysis results in the abnormal event decision tree, which is more conducive to user selection operations.

[0071] Figure 3 The second flowchart of the medical safety incident analysis and processing method provided in an embodiment of the present application is as follows: Figure 3 As shown, the medical safety incident analysis and processing method of the present application also includes:

[0072] S201. Display a risk level determination table in a second area of ​​a graphical user interface.

[0073] Continue to refer to Figure 2 A risk level determination table is displayed in the second area of ​​the graphical user interface. The risk level determination table includes determination information of multiple types of occurrence frequencies. The determination information of each type of occurrence frequency includes: information of multiple risk levels corresponding to each type of occurrence frequency.

[0074] Among them, multiple occurrence frequencies include once every few weeks, several times a year, once every 1 to 2 years, once every 2 to 5 years, and once every 5 years or more; multiple risk levels include 1, 2, 3, and 4. It should also be noted that multiple severity levels are also displayed in the second area of ​​the graphical user interface, including severe, more severe, moderate, less severe, and mild.

[0075] This application supports viewing the occurrence frequency description and severity explanation on the graphical user interface. Figure 4 A second schematic diagram of a graphical user interface provided in an embodiment of the present application is shown in FIG. Figure 4 As shown in the figure, when the user clicks the "View Description" button corresponding to the occurrence frequency, the following is displayed Figure 4 Description of the frequency of occurrence shown; Figure 5 A third schematic diagram of a graphical user interface provided in an embodiment of the present application is shown in FIG. Figure 5 When the user clicks the "View Description" button corresponding to the severity level, the following is displayed: Figure 5 Description of severity shown.

[0076] S202. Determine a target frequency classification from multiple categories of occurrence frequencies based on historical medical safety events of the target medical unit corresponding to the historically reported target medical safety events.

[0077] In this embodiment, it is possible to traverse the historical medical safety events of the target medical unit corresponding to the target medical safety event, find the reported historical record data of medical safety events of the same category, automatically calculate the target frequency classification corresponding to the target medical safety event according to the frequency of occurrence, and automatically display the target frequency classification in the risk level determination table in the second area of ​​the graphical user interface.

[0078] Among them, the target medical unit is the hospital department where the target medical safety incident occurs, and the target frequency classification is any one of multiple occurrence frequencies, which is determined by the number of historical medical safety incidents in the target medical unit.

[0079] S203: highlighting the determination information corresponding to the target frequency classification in the graphical user interface.

[0080] After the target frequency classification is determined, the judgment information corresponding to the target frequency classification in the graphical user interface is highlighted, that is, the information of multiple risk levels in the row where the target frequency classification is located is highlighted. For example, when the target frequency classification is once every 1 to 2 years, multiple risk levels 1, 2, 2, 3, and 4 in the row are highlighted.

[0081] S204: According to the selection operation on the target risk level among the multiple risk levels, information of the target risk level is highlighted in the graphical user interface.

[0082] After highlighting the determination information corresponding to the target frequency classification, the user can select a target risk level from multiple risk levels according to the severity level of the target medical safety event. At this time, the information of the target risk level is highlighted.

[0083] For example, after highlighting multiple risk levels 1, 2, 2, 3, and 4 corresponding to the target frequency classification of once every 1 to 2 years, the user determines that the target medical safety event is a more serious event through the explanation of the severity, so the target risk level is determined to be Level 2, and the "Level 2" corresponding to the row where the event occurs once every 1 to 2 years is located and the column where the more serious event is located is highlighted.

[0084] In this embodiment, based on the target frequency classification, severity, and risk level determination table, the risk level of the target medical safety event is automatically determined, which improves the accuracy of obtaining the target risk level and reduces the user's workload.

[0085] After determining the target disposal information of the target medical safety event according to S104 above and determining the target risk level according to S204, a determination conclusion for the target medical safety event can be generated based on the target disposal information and the target risk level. The determination conclusion is used to indicate whether analysis and rectification of the target medical safety event is required.

[0086] Figure 6 A third flow chart of a method for analyzing and processing medical safety incidents provided in an embodiment of the present application is shown in FIG. Figure 6 As shown, the specific steps of generating a determination conclusion for a target medical safety event include:

[0087] S301. Determine whether the target medical safety event triggers preset analysis and rectification conditions based on the target risk level, and obtain the analysis and rectification trigger judgment conclusion of the target medical safety event.

[0088] After obtaining the target risk level, it can be determined whether the target medical safety event triggers the preset analysis and rectification conditions based on the target risk level, and the analysis and rectification trigger judgment conclusion of the target medical safety event can be obtained. The conclusions include: yes, indicating that analysis and rectification of the target medical safety event is required; no, indicating that analysis and rectification of the target medical safety event is not required.

[0089] The preset analysis and rectification conditions can be modified according to the needs of different departments. For example, the preset analysis and rectification conditions of a department are: the target disposal information indicates that there is a system problem with the target medical safety event, and the target risk level indicates that the risk level of the target medical safety event is above level 2. Then, when the target medical safety event of a department of the hospital meets the analysis and rectification conditions, it is determined that the target medical safety event triggers the analysis and rectification conditions of the department, and analysis and rectification of the target medical safety event is required.

[0090] S302. Generate a judgment conclusion based on the analysis of the rectification trigger judgment conclusion, target disposal information and target risk level using a preset speech template.

[0091] In this application, the conclusion is determined using a speech template, which generates conclusions from key information in the form of variables. This way of presenting conclusions is clearer and more standardized, which helps to quickly understand the rectification and determination results. For example, the speech template is "It has been determined that the system problem {exists / does not exist}, the risk level is assessed as {1 / 2 / 3 / 4}, and analysis and rectification {needs / does not need}", where {} are variables, which come from the target disposal information, the target risk level, and the analysis and rectification trigger judgment conclusion.

[0092] Figure 7 A fourth schematic diagram of a graphical user interface provided in an embodiment of the present application, such as Figure 7 As shown, if the conclusion is "it is determined that there is a system problem, the risk level is assessed to be level 2, and analysis and rectification are required", the conclusion will be displayed in the conclusion display area of ​​the graphical user interface.

[0093] In one embodiment, the medical safety incident analysis and processing method of the present application also includes: if the judgment conclusion indicates that the target medical safety incident triggers the analysis and rectification conditions, the judgment conclusion and process information of the target medical safety incident are sent to the target audit unit corresponding to the target medical unit, and the target audit unit further judges the judgment conclusion of the target medical safety incident.

[0094] Among them, the target audit unit is the superior or relevant department of the target medical unit. The target audit unit can modify the judgment conclusion of the target medical safety incident. If the target medical safety incident does not trigger the analysis and rectification conditions after the modification, the modification of the target audit unit shall prevail, and there is no need to analyze and rectify the target medical safety incident.

[0095] In summary, this application provides a method for analyzing and processing medical safety incidents, which has the following advantages:

[0096] 1. Automatic rectification judgment: This application adopts abnormal event decision tree and risk level judgment to realize automatic rectification judgment of target medical safety events, which greatly improves the efficiency and accuracy of analysis and rectification.

[0097] 2. Flexible rectification judgment conditions: The analysis and rectification judgment conditions include multiple-choice configuration items, support the combination selection of different conditions, and can set the activation conditions according to specific needs to meet the needs of different medical institutions and needs, and perform personalized configuration and settings, thereby improving flexibility and applicability.

[0098] 3. Visualization effect: Through the use of abnormal event decision trees and risk level determination controls, during the analysis process, a clear interface and highlighted display of decision nodes are used, and the key factors and paths of the problem are displayed through lines to display causal relationships, helping medical staff to intuitively understand the entire analysis process and results. Medical staff can quickly grasp the classification, determination path and final conclusion of events through the visualization of the decision tree, which improves work efficiency and analysis accuracy, and helps decision makers make correct improvement decisions. The abnormal event decision tree has the advantage of being more intuitive and clear in displaying results.

[0099] 4. Comprehensive analysis: Using the abnormal event decision tree as an analysis tool can more comprehensively consider the relationship between multiple links and factors, rather than being limited to individual behavior or a single link. The abnormal event decision tree can clearly present many influencing factors and paths, helping to identify the root causes of complex problems.

[0100] 5. Systemic perspective: The abnormal event decision tree can systematically analyze the problems and defects in the medical system, deeply analyze the various links and key decision points where the problems arise, and thus find out the shortcomings and risks in the entire system design and process.

[0101] 6. Avoid personal attacks: Focus on improving the medical system rather than individual responsibility, avoid attributing the root cause of the problem to the personal behavior or mistakes of the nursing staff. Through systematic analysis, focus on system defects and process problems, which can reduce personal attacks, establish a positive working environment and promote teamwork.

[0102] 7. Avoid treating the root cause instead of the symptoms: Emphasize on identifying the shortcomings and risks in the workflow and system design, and take correct measures to improve and correct them, which will help to treat the root cause and find the root cause of the problem, rather than just solving superficial problems. This will avoid the recurrence of adverse events and improve the overall quality and safety of the medical system.

[0103] 8. Interaction-friendly: Through an interactive and friendly operation interface, clear labels and instructions are provided to guide medical staff to make selections. Users can make selections directly on the nodes and can modify their selections at any time. This convenient interaction method reduces the complexity of medical staff's operations and the risk of errors.

[0104] The following is a corresponding explanation of the apparatus, device and storage medium for executing the medical safety incident analysis and processing method provided in any of the above embodiments of the present application. Its specific implementation process and the technical effects produced are the same as those of the corresponding method embodiments mentioned above. For the sake of brief description, for the parts not mentioned in the following embodiments, please refer to the corresponding contents in the method embodiments.

[0105] Optionally, Figure 8 A schematic diagram of the structure of a medical safety incident analysis and processing device provided in an embodiment of the present application is shown in FIG. Figure 8 As shown, the present application also provides a medical safety event analysis and processing device, including:

[0106] The display module 10 is used to display the abnormal event decision tree in a first area of ​​the graphical user interface.

[0107] The first determination module 20 is used to determine a second decision node from multiple decision nodes in the abnormal event decision tree according to a first decision selection operation for a target medical safety event input through a first decision node among multiple decision nodes.

[0108] The second determination module 30 is used to determine a third decision node from the multiple decision nodes according to a second decision selection operation for the target medical safety event input through the second decision node.

[0109] The information determination module 40 is used to determine the preset handling information corresponding to the terminal decision node as the target handling information of the target medical safety event if the third decision node is the terminal decision node in the abnormal event decision tree.

[0110] In one embodiment, the first determination module 20 is used to determine a decision node corresponding to the branch flow information from multiple decision nodes as the second decision node according to the branch flow information selected by the first decision selection operation.

[0111] In one embodiment, the display module 10 is used to highlight the second decision node, the first decision node, and the connection between the first decision node and the second decision node in the abnormal event decision tree using a first color.

[0112] In one embodiment, the display module 10 is used to highlight the preset processing information corresponding to the terminal decision node in the abnormal event decision tree using the second color.

[0113] In one embodiment, the display module 10 is used to display a risk level determination table in the second area of ​​the graphical user interface, wherein the risk level determination table includes: determination information of multiple types of occurrence frequencies, and the determination information of each type of occurrence frequency includes: information of multiple risk levels corresponding to each type of occurrence frequency.

[0114] The first determination module 20 is used to determine a target frequency classification from multiple categories of occurrence frequencies based on historical medical safety events of a target medical unit corresponding to the historically reported target medical safety events.

[0115] The display module 10 is also used to highlight the determination information corresponding to the target frequency classification in the graphical user interface; according to the selection operation of the target risk level among the multiple risk levels, the information of the target risk level is highlighted in the graphical user interface.

[0116] In one embodiment, the medical safety event analysis and processing device also includes a conclusion generation module, which is used to generate a determination conclusion for a target medical safety event based on target treatment information and a target risk level.

[0117] In one embodiment, a conclusion generation module is used to determine whether a target medical safety event triggers a preset analysis and rectification condition based on a target risk level, and obtain an analysis and rectification trigger determination conclusion of the target medical safety event; based on the analysis and rectification trigger determination conclusion, target disposal information, and target risk level, a preset speech template is used to generate a determination conclusion.

[0118] In one embodiment, the medical safety incident analysis and processing device also includes a conclusion sending module, which is used to send the determination conclusion and process information of the target medical safety incident to the target audit unit corresponding to the target medical unit if the determination conclusion indicates that the target medical safety incident triggers the analysis and rectification conditions.

[0119] The above-mentioned device is used to execute the method provided by the aforementioned embodiment, and its implementation principle and technical effect are similar, which will not be repeated here.

[0120] The above modules may be one or more integrated circuits configured to implement the above methods, such as one or more application specific integrated circuits (ASICs), or one or more microprocessors, or one or more field programmable gate arrays (FPGAs). For another example, when a module is implemented in the form of a processing element scheduling program code, the processing element may be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call program code. For another example, these modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0121] Fig. 9 A schematic diagram of the structure of a computer device provided in an embodiment of the present application is shown in FIG. Fig. 9 As shown, an embodiment of the present application also provides a computer device, including: a processor 100, a storage medium 200 and a bus 300, the storage medium stores program instructions executable by the processor, when the computer device is running, the processor and the storage medium communicate through the bus, and the processor executes the program instructions to perform the medical safety incident analysis and processing method provided in the above embodiment.

[0122] An embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the medical safety incident analysis and processing method provided in the above embodiment is executed.

[0123] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0124] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0125] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0126] The above-mentioned integrated unit implemented in the form of a software functional unit can be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor (English: processor) to perform some steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (English: Read-Only Memory, abbreviated: ROM), random access memory (English: Random Access Memory, abbreviated: RAM), disk or optical disk and other media that can store program codes.

[0127] The above are only specific implementations of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for analyzing and processing medical safety incidents, characterized in that: include: Displaying an abnormal event decision tree in a first area of ​​the graphical user interface; According to a first decision selection operation for a target medical safety event input through a first decision node among a plurality of decision nodes in the abnormal event decision tree, determining a second decision node from the plurality of decision nodes; Determine a third decision node from the plurality of decision nodes according to a second decision selection operation for the target medical safety event input through the second decision node; If the third decision node is a terminal decision node in the abnormal event decision tree, determining the preset handling information corresponding to the terminal decision node as the target handling information of the target medical safety event; The method further comprises: Displaying a risk level determination table in the second area of ​​the graphical user interface, the risk level determination table including: determination information of multiple types of occurrence frequencies, the determination information of each type of occurrence frequency including: information of multiple risk levels corresponding to each type of occurrence frequency; Determine a target frequency classification from the multiple occurrence frequencies according to historical medical safety events of the target medical unit corresponding to the target medical safety event reported in history; Highlighting the determination information corresponding to the target frequency classification in the graphical user interface; According to a selection operation on a target risk level among the multiple risk levels, information of the target risk level is highlighted in the graphical user interface.

2. The method according to claim 1, characterized in that The step of determining a second decision node from among the plurality of decision nodes in the abnormal event decision tree according to a first decision selection operation for a target medical safety event inputted through a first decision node includes: According to the branch flow information selected by the first decision selection operation, a decision node corresponding to the branch flow information is determined from the multiple decision nodes as the second decision node.

3. The method according to claim 1, characterized in that: After determining a second decision node from among the plurality of decision nodes in the abnormal event decision tree according to the first decision selection operation for the target medical safety event inputted through the first decision node, the method further comprises: The second decision node, the first decision node, and the connection between the first decision node and the second decision node in the abnormal event decision tree are all highlighted with a first color.

4. The method according to claim 1, characterized in that: If the third decision node is the terminal decision node in the abnormal event decision tree, the method further includes: The preset processing information corresponding to the terminal decision node in the abnormal event decision tree is highlighted in a second color.

5. The method according to claim 1, characterized in that The method further comprises: A determination conclusion for the target medical safety event is generated based on the target treatment information and the target risk level.

6. The method according to claim 5, characterized in that The step of generating a determination conclusion for the target medical safety event according to the target treatment information and the target risk level further includes: Determine, based on the target risk level, whether the target medical safety event triggers a preset analysis and rectification condition, and obtain a trigger determination conclusion of the analysis and rectification of the target medical safety event; The judgment conclusion is generated based on the analysis and rectification trigger judgment conclusion, the target disposal information and the target risk level using a preset speech template.

7. The method according to claim 6, characterized in that The method further comprises: If the determination conclusion indicates that the target medical safety event triggers the analysis and rectification condition, the determination conclusion and process information of the target medical safety event are sent to the target audit unit corresponding to the target medical unit.

8. A computer device, characterized in that: include: A processor, a storage medium and a bus, wherein the storage medium stores program instructions executable by the processor. When the computer device is running, the processor communicates with the storage medium via the bus, and the processor executes the program instructions to perform the medical safety incident analysis and processing method as described in any one of claims 1 to 7.

9. A computer-readable storage medium, characterized in that: The readable storage medium stores a computer program, and when the computer program is executed by a processor, the medical safety incident analysis and processing method according to any one of claims 1 to 7 is executed.

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