Medical personnel speaking platform for medical safety and processing method thereof

Abstract

The invention provides a medical-safety-oriented medical staff speaking platform and a processing method thereof, and aims at solving the neglected construction requirement of the medical-safety-oriented medical staff speaking platform in the prior art under the condition that a set of construction scheme for constructing the medical-safety-oriented medical staff speaking platform is introduced. And corresponding optimization settings are provided from a series of details, so that the platform performance of the medical personnel speaking platform for medical safety is further enhanced, the informatization means is helpful for standardizing, guiding and scientifically managing the speaking behaviors of the medical personnel, the speaking enthusiasm of the medical personnel is improved, and the working efficiency of the medical personnel is improved. A speaking behavior of medical staff is converted into power for improving medical safety, and the medical safety level of a hospital is promoted to be continuously improved.

Description

Technical Field

[0001] The present application relates to the field of medical technology, and in particular to a medical safety-oriented medical staff suggestion platform and a processing method thereof. Background Art

[0002] Medical safety and medical quality are the core priorities of hospital management. Medical safety is the foundation of medical quality and the primary demand of patients for medical treatment. Against this background, hospital management faces a series of challenges. For example, shortage and loss of medical staff, work burnout and lack of initiative are common problems, which seriously threaten the quality and safety of medical care. To achieve high-quality development of hospitals, it requires the active participation of medical staff, fully stimulate their potential, raise questions and suggestions for the team and organization, promote business innovation and system improvement, and enhance organizational competitiveness, so that hospitals can have higher efficiency and better protect patient safety.

[0003] Stimulating medical staff's suggestion behavior is an important means to tap their potential. Suggestion behavior refers to the interpersonal communication behavior outside the role of medical staff, who actively put forward constructive suggestions to departments or leaders with the goal of improving the current status of medical organizations or clinical work. It is a factor that promotes organizations to maintain external competitiveness and achieve sustainable development. It can, to a certain extent, reflect the medical staff's sense of responsibility and trust in the organization and improve the quality of clinical services.

[0004] However, the inventors of this application found that in the hospital application scenario, it still remains at the traditional level of focusing on the antecedents of medical staff's suggestion behavior, relying on manual promotion, and the upward suggestion channel is single and lacks convenience, and the operability is poor, which will obviously affect the contribution that the suggestion behavior can make to hospital management. Summary of the invention

[0005] The present application provides a medical staff suggestion platform for medical safety and a processing method thereof, which is used to address the construction needs of the medical staff suggestion platform for medical safety that have been ignored by the prior art. While introducing a set of construction solutions for constructing the medical staff suggestion platform for medical safety, corresponding optimization settings are also provided from a series of details, so as to further enhance the platform performance of the medical staff suggestion platform for medical safety. In this way, information technology is used to help standardize and guide, scientifically manage the medical staff suggestion behavior, improve the medical staff's enthusiasm for suggestion, and transform the medical staff's suggestion behavior into a driving force for improving medical safety, thereby promoting the continuous improvement of the hospital's medical safety level.

[0006] In the first aspect, the present application provides a medical staff suggestion platform for medical safety, which includes an application presentation layer, a data service layer and a data storage layer. The software architecture composed of the application presentation layer, the data service layer and the data storage layer is set up in a model-view-controller mode;

[0007] The application presentation layer is responsible for the display of the platform interface and suggestion data;

[0008] The data business layer is responsible for business processing between the application presentation layer and the data storage layer;

[0009] The data storage layer is responsible for data storage functions;

[0010] Based on the application presentation layer, data service layer and data storage layer, the medical staff advice platform for medical safety involves the following work content:

[0011] Receive target suggestion data initiated by current medical staff regarding medical safety;

[0012] Determine the target decision object for processing the target suggestion data online among different decision objects set in advance;

[0013] Output the target suggestion data to the target decision object to prompt the target decision object to respond;

[0014] Dynamically update the response progress of target suggestion data and perform statistical analysis.

[0015] In the second aspect, the present application provides a processing method for a medical staff suggestion platform for medical safety. The medical staff suggestion platform for medical safety includes an application presentation layer, a data business layer and a data storage layer. The software architecture composed of the application presentation layer, the data business layer and the data storage layer is set up using the model-view-controller mode; the application presentation layer is responsible for the display function of the platform interface and the suggestion data; the data business layer is responsible for the business processing link between the application presentation layer and the data storage layer; the data storage layer is responsible for the data storage function; based on the application presentation layer, the data business layer and the data storage layer, the processing method for the medical staff suggestion platform for medical safety includes:

[0016] Receive target suggestion data initiated by current medical staff regarding medical safety;

[0017] Determine the target decision object for processing the target suggestion data online among different decision objects set in advance;

[0018] Output the target suggestion data to the target decision object to prompt the target decision object to respond;

[0019] Dynamically update the response progress of target suggestion data and perform statistical analysis.

[0020] In a third aspect, the present application provides a computer-readable storage medium, which stores a plurality of instructions, and the instructions are suitable for loading by a processor to execute the method provided in the second aspect of the present application.

[0021] From the above content, it can be concluded that the present application has the following beneficial effects:

[0022] In view of the demand for building a medical staff advice platform for medical safety that is ignored by the existing technology, while introducing a set of solutions for building a medical staff advice platform for medical safety, corresponding optimization settings are also provided from a series of details to further enhance the platform performance of the medical staff advice platform for medical safety. In this way, information technology will help to standardize and guide, scientifically manage the medical staff's advice behavior, increase the medical staff's enthusiasm for advice, and transform the medical staff's advice behavior into a driving force for improving medical safety, thereby promoting the continuous improvement of the hospital's medical safety level. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0024] Figure 1 A schematic diagram of a platform architecture for a medical staff advice platform for medical safety in this application;

[0025] Figure 2 A logical diagram submitted for this application proposal;

[0026] Figure 3 for Figure 3 A logical diagram of the application suggestion evaluation, decision-making and feedback is shown;

[0027] Figure 4 Another schematic diagram of the architecture of the medical staff advice platform for medical safety in this application;

[0028] Figure 5 A logical schematic diagram of building a medical staff advice platform for medical safety for this application. DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions 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. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of this application.

[0030] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described here can be implemented in an order other than that illustrated or described here. 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 that includes a series of steps or modules is not necessarily limited to those steps or modules clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products or devices. The naming or numbering of steps in this application does not mean that the steps in the method flow must be executed in the time / logical sequence indicated by the naming or numbering. The process steps that have been named or numbered can change the execution order according to the technical purpose to be achieved, as long as the same or similar technical effects can be achieved.

[0031] The division of modules in this application is a logical division. There may be other division methods when it is implemented in actual applications. For example, multiple modules can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection between modules can be electrical or other similar forms, which are not limited in this application. In addition, the modules or submodules described as separate components may or may not be physically separated, may or may not be physical modules, or may be distributed in multiple circuit modules, and some or all of the modules may be selected according to actual needs to achieve the purpose of the present application.

[0032] First, see Figure 1 A schematic diagram of a platform architecture of the medical staff suggestion platform for medical safety of the present application is shown in FIG. Figure 1As shown, the medical staff advice platform for medical safety provided or created by the present application includes three major parts, namely, application presentation layer, data service layer and data storage layer, in terms of specific platform architecture. The software architecture composed of these three major parts, namely, application presentation layer, data service layer and data storage layer, can be specifically set up using the Model-View-Controller (MVC) mode. In this way, the overall architecture of the medical staff advice platform for medical safety of the present application is designed and developed through the three major parts of application presentation layer, data service layer and data storage layer.

[0033] Among them, the MVC pattern is suitable for layered development of applications. The model represents an object or JAVAPOJO that accesses data. It can also have logic to update the controller when the data changes. The view represents the visualization of the data contained in the model. The controller acts on the model and view, controls the flow of data to the model object, and updates the view when the data changes, separating the view from the model.

[0034] In layman's terms, the MVC model can organize code to separate business logic and data display. Its assumption is that if the business logic is aggregated into one component, and the interface and user interaction around data can be improved and customized without rewriting the business logic, the MVC model is uniquely developed to map traditional input, processing and output functions in a logical graphical user interface structure, which is more advantageous for the development of the medical staff advice platform for medical safety in this application.

[0035] Furthermore, for the three major parts of the application presentation layer, data business layer and data storage layer, there are:

[0036] 1. The application presentation layer is responsible for the display of the platform interface and suggestion data. When users (medical staff) log in to the medical safety-oriented medical staff suggestion platform, they can see the interface provided by the application presentation layer, which provides a basic visual environment for users to fill in and submit suggestion content and interact with suggestion processing personnel at all levels;

[0037] 2. The data business layer is responsible for the business processing between the application presentation layer and the data storage layer. The data business layer can include the specific business processing logic of multiple functional modules of the system. The data stored and retrieved comes from the underlying database, which plays a connecting role. The data business layer mainly receives data requests from the application presentation layer. After internal business logic judgment, it begins to convey the request from the application presentation layer to the next layer, that is, the data storage layer, and delivers the final data access result;

[0038] 3. The data storage layer is responsible for data storage functions. In the design and development of the data storage layer, the design and development of the database is a very important link. The continuous modification and updating of the database is the key to ensure the normal operation of the medical safety-oriented medical staff advice platform. The data access layer is included in it. The data access layer is a direct operation on the database to ensure the timely update of database information data. The data storage layer provides a method for data access, which enables other programmers to avoid manually writing programs to access the data storage layer, so that they can focus on the development of business logic.

[0039] Based on the above-mentioned application presentation layer, data service layer and data storage layer, the medical safety-oriented medical staff advice platform constructed by this application may specifically involve the following work contents:

[0040] (1) Receive target suggestion data initiated by current medical staff regarding medical safety;

[0041] It can be understood that after the current user, i.e. the current medical staff, logs in to the medical staff suggestion platform for medical safety, he can enter the suggestion data corresponding to the current suggestion behavior to be made in the preset suggestion data input window and other input forms by making his personal account public. For the convenience of explanation, the suggestion data is recorded as the target suggestion data, and the same applies to the target decision-making objects involved later.

[0042] The specific content of the target suggestion data is obviously the content related to medical safety involved in the actual work of medical staff. Regarding medical safety, it may specifically involve medical organization, clinical work and other aspects, so as to actively put forward constructive suggestions to relevant departments or leaders, which will help the organization maintain dynamic optimization and achieve sustainable development.

[0043] (2) Determine the target decision object for processing the target advice data online among the different decision objects set in advance;

[0044] After the medical staff advice platform for medical safety receives the target advice data initiated by the current medical staff, it can determine the target decision object preset for the advice data made by the current medical staff itself among the different decision objects preset on the platform, or determine the adapted target decision object based on the advice content of the target advice data, so as to prompt the target decision object on the platform to process the advice content reflected by the target advice data.

[0045] The target decision-making object is understandable. It can be either a department or other unit, or members of the advice management team at all levels. This can be adjusted according to actual conditions.

[0046] (3) Outputting the target suggestion data to the target decision-making object to prompt the target decision-making object to respond;

[0047] After the target decision object is determined, it is obvious that the target suggestion data can be output to the decision object through the platform to prompt the target decision object to respond.

[0048] Among them, in terms of output, it can be pushed through processing tasks or system messages in the platform, or through text messages or emails. This is more flexible, and usually multiple push methods can be selected and promoted simultaneously, so as to promptly remind the target decision-making object that there is suggestion data / suggestion data processing task that needs to be processed.

[0049] In addition, the response processing for the target suggestion data may involve specific processing in different aspects such as rejection, acceptance, and review. The response link is obviously not fixed under actual circumstances and usually needs to be adjusted according to the specific suggestion content.

[0050] (4) Dynamically update the response progress of target suggestion data and conduct statistical analysis.

[0051] Corresponding to the response processing of the target suggestion data, the platform can dynamically update its response progress. On the one hand, it can meet the need of the target suggestion data itself to respond only to the update record on the platform. On the other hand, it can also provide queries for the current medical staff and target decision-makers who initiated the target suggestion data to learn about the specific processing situation.

[0052] Among them, when there is a dynamic update in the response progress of the target suggestion data, the platform can also push it directly to remind that there is a new dynamic in the response progress of the target suggestion data, and remind you to check it in time.

[0053] Similar to the output of target suggestion data mentioned above, the dynamic update push can be pushed either by processing tasks or system messages in the platform, or by SMS or email push, which is more flexible.

[0054] For easier understanding, you can also combine Figure 2 A logical schematic diagram and Figure 3 A logical schematic diagram of suggestion evaluation, decision-making and feedback of the present application is shown to more vividly understand how suggestion data is submitted to the platform and how the platform responds after receiving the suggestion data.

[0055] In addition, the statistical analysis carried out here is oriented towards the overall level. While recording the current and past advice data and their response processing, it also conducts analysis to control the overall situation / trend and provide richer data support.

[0056] In addition, in specific applications, it can be understood that the medical staff advice platform for medical safety provided by this application can be set up as an independent platform or embedded / integrated into the hospital's existing relevant online platform. Compared with the former, the latter can better connect and collaborate with the hospital's existing systems. Of course, both platform setting methods are possible in actual situations and can be configured according to actual needs.

[0057] It can be seen that the medical staff suggestion platform for medical safety constructed by this application is a suggestion reporting and analysis management platform, which can integrate mainstream data aggregation, analysis, storage and visualization technologies to provide storage, processing, analysis and visualization services, and support the entire process of big data services from suggestion information submission and import to suggestion evaluation, data processing, and finally to suggestion decision-making and feedback. It effectively integrates existing medical safety suggestion management resources, strengthens the auxiliary functions of computers, and improves the suggestion efficiency in hospital application scenarios.

[0058] exist Figure 1 Based on this, continue to refer to Figure 4 Another architectural schematic diagram of the medical staff advice platform for medical safety of the present application is shown, which further explains the optimization scheme settings that may be adopted in actual applications of the medical staff advice platform for medical safety provided by the present application above.

[0059] As an exemplary embodiment, the medical safety-oriented medical staff advice platform provided by the present application may also include a front-end interface layer corresponding to the application presentation layer. The front-end interface layer is responsible for displaying a specific front-end interface. That is to say, the platform interface and the display function of the advice data that the application presentation layer mentioned above is responsible for are mainly responsible for the configuration of the display content, while the specific display work can be left to the front-end interface layer.

[0060] At the same time, the front-end interface layer can be built using the vue.js architecture. The vue.js architecture is a progressive framework for building user interfaces. Unlike other heavyweight frameworks, the vue.js architecture adopts a bottom-up incremental development design. The core library only focuses on the view layer, which is not only easy to use, but also easy to integrate with third-party libraries or existing projects. When used in combination with single-file components and libraries supported by the Vue ecosystem, the vue.js architecture is also fully capable of providing drivers for complex single-page applications. Therefore, it can perform well for the specific display work of the front-end interface layer of this application.

[0061] In addition, for the aforementioned application presentation layer, as an exemplary embodiment, the basic business modules of the application presentation layer may specifically involve two categories of modules, namely, user information modules and administrator modules, specifically, the following:

[0062] (1) The user information module involves three basic services: user system, suggestion submission, and suggestion query;

[0063] (2) The administrator module involves two basic businesses: the login system and the authorization system.

[0064] It is understandable that the two modules, the user information module and the administrator module, in addition to the basic business contents listed above, of course do not exclude the involvement of other basic business contents in specific operations, and these basic business contents can also be implemented through corresponding sub-modules, or configured with corresponding sub-modules, such as the user system module, the suggestion submission module, and other modules corresponding to the above-mentioned specific basic business contents (with corresponding names).

[0065] Thus, in the embodiments herein, a more detailed and concise solution setting is provided for the processing architecture and processing content of the application presentation layer in specific work.

[0066] In addition, as for the aforementioned data service layer, as an exemplary embodiment, the data service layer can specifically provide data services in personal information management, feedback information query, configuration information management and authorization information management based on the network request interface and the database interface, among which, there are also:

[0067] (1) Personal information management and feedback information query corresponding to the user information module;

[0068] (2) Configuration information management and authorization information management correspond to the administrator module.

[0069] from Figure 4 It can also be clearly seen that there is a correspondence between the personal information management and configuration information management in the data business layer, and the user information module and administrator module in the application presentation layer.

[0070] It can be understood that in addition to the data service contents listed above, the data service layer does not exclude other data service contents in specific operations, and these data service contents can also be implemented through corresponding sub-modules, or configured with corresponding sub-modules, such as personal information management module feedback information query and other modules corresponding to the above-mentioned specific data service contents (with corresponding names).

[0071] Thus, in the embodiment herein, a more detailed and concise solution setting is provided for the processing architecture and processing content of the data service layer in specific work.

[0072] In addition, continuing to focus on the data storage layer mentioned above, as an exemplary embodiment, based on the configuration management provided by the configuration library, the data storage layer can specifically adopt a solution setting that combines the distributed cache Redis and the relational database Mysql.

[0073] Among them, Redis is an open source in-memory data structure storage system that can be used as a database, cache, and message middleware. In order to improve the availability and performance of the system, a distributed system architecture can be introduced to shard the data and store it on different nodes to achieve distributed storage, thus forming a distributed cache Redis to continue to enhance the data storage services that the data storage layer can provide.

[0074] Mysql is a relatively mature relational database product with relatively stable and excellent database performance in terms of data persistence, which can provide guarantee for the excellent data storage services that the enhanced data storage layer can provide.

[0075] In this way, through the combination of these three, a data storage layer with better performance is created.

[0076] On this basis, the processing of reading and writing data is as follows:

[0077] (1) For a request to read the first data, the first data is first read from the distributed cache Redis. If the first data is hit, the first data is directly returned; if the first data is not hit, the first data is queried from the relational database Mysql. After the first data is obtained, it is first written into the distributed cache Redis and then returned;

[0078] (2) For a request to write the second data, the second data is first inserted or updated into the relational database Mysql, and then the corresponding key value key in the distributed cache Redis is deleted.

[0079] Similar to the previous embodiment, the embodiment here provides a more detailed and concise solution setting for the processing architecture and processing content of the data storage layer in specific work.

[0080] In addition, from Figure 2 It can also be seen that, as an exemplary embodiment, the medical staff suggestion platform provided in this application may also include a back-end service layer, and the back-end service layer may specifically involve a springboot framework corresponding to the configuration library and a tomcat server corresponding to the relational database Mysql.

[0081] In addition, based on the basic functional modules involved in the above-mentioned platform, corresponding to the business processing of the advice affairs involved in this application, this application can also configure corresponding specific business process modules to achieve a more concise and efficient business processing effect.

[0082] Specifically, as an exemplary embodiment, the business process modules of the medical safety-oriented medical staff suggestion platform provided by the present application corresponding to the work content include suggestion submission module, suggestion evaluation module, suggestion decision module, suggestion feedback module, suggestion tracking and supervision module and suggestion statistical analysis module, and correspondingly, there are:

[0083] (1) A suggestion submission module, which is used to receive suggestion data in a preset format and submit it after verification;

[0084] It is understandable that in order to ensure the quality of platform users, users need to log in using their work number and password. After logging in, users select their hospital area, department, ward, suggestion type, enter / select the subject information of the suggestion, and the suggestion content follows a fixed format, that is, the medical staff safety suggestion collection form.

[0085] Because the sources of suggestions are diverse, different data source interfaces are provided to facilitate users to import data; when entering user suggestion data, users can choose the medical safety issues that best match the suggestion content. All user information, selection results, and evaluation results will be recorded for easy viewing.

[0086] The platform can also verify the integrity, correctness and eligibility of the submitted data. If the verification fails, the user is prompted to make changes, otherwise it is prompted to succeed.

[0087] After successful submission, users can query their personal suggestion data in the suggestion record.

[0088] (2) a suggestion evaluation module, which is used to classify the submitted suggestion data and then evaluate the suggestion quality;

[0089] The suggestion evaluation module will identify the suggestion data included in the successfully submitted message queue. If the classification is correct, a reply processing request can be sent to the backend. Otherwise, after re-identification and classification based on the suggestion content, a reply processing request will be sent to the backend.

[0090] After receiving the reply processing request, the backend logs in to the platform, checks the suggestion content, evaluates the suggestion content according to the corresponding suggestion quality evaluation indicators to obtain the suggestion evaluation quality, and saves the suggestion reply data into the database.

[0091] Finally, the suggestion reply data is sent to the message queue, the suggestion acceptance status is marked, and feedback is given that it has been accepted and the quality is evaluated.

[0092] (3) Suggestion decision module, used to review the submitted suggestion data by the corresponding decision-making object;

[0093] There are three types of decision making:

[0094] 1. For safety suggestions raised by wards and specialists that can be implemented by the wards and specialists, they will be forwarded to the ward and specialist suggestion managers, who will then propose implementation opinions, clarify the implementation time nodes, and designate the responsible persons for implementation.

[0095] Among them, those that need to be completed with the coordination and assistance of the hospital or medical institutions will be submitted to the hospital review team for approval.

[0096] 2. Suggestions for the hospital district or medical institution shall be submitted to the hospital district review team for approval.

[0097] 3. For suggestions that are decided to be adopted or submitted to the next level for processing, the specialist review team will provide feedback to the proposer through the platform via the administrator account and send SMS and OA email reminders.

[0098] (4) Suggestion feedback module, used to provide feedback to the corresponding decision-making object on the submitted suggestion data;

[0099] 1. For safety suggestions that can be implemented by wards and specialties, and safety suggestions that are decided to be adopted and implemented or submitted to the next level for processing, there are two types of replies: manual reply and automatic reply.

[0100] 2. For suggestions that need to be submitted to the hospital district review team for review, the hospital review leadership group will handle the suggestions and provide feedback to the person who made the suggestions after the suggestions are processed.

[0101] 3. For manual replies, after the users of the specialty review team and the hospital district review team log in, the review team can enter feedback data for a single suggestion content separately according to the actual situation, or enter feedback data for multiple similar suggestion data.

[0102] 4. For automatic replies, you can set common reply content for replies, and the review team will feedback to the person who made the suggestion. After the feedback is completed, the data administrator in the review team will archive it. The archived data will automatically change to the completed status and be displayed in the platform interface.

[0103] (5) The suggestion tracking and supervision module is used to track the processing progress of submitted suggestion data and issue reminders if the suggestion data is not processed in time.

[0104] The suggestion review groups at all levels have the function of querying and viewing suggestion information within the region, including information query by time, processing status, etc.

[0105] For suggestion information that is not processed in a timely manner, the superior suggestion review team may send reminders to the subordinate review team. The time limit and frequency of sending reminders shall be determined by the hospital suggestion leading group, or reminders may be sent automatically.

[0106] (6) Suggestion statistical analysis module, used for statistical analysis of different suggestion data.

[0107] In addition, for the above platform solution setting content, it can be seen that after the medical staff advice platform for medical safety in this application is built and put into actual use, the platform design in all aspects can be seen. As for how to build / construct the medical staff advice platform for medical safety, this application also provides a more specific implementation plan.

[0108] Specifically, Figure 5 A logical schematic diagram of the medical staff advice platform for medical safety in the present application is shown. The medical staff advice platform for medical safety in the present application is built on the basis of a pre-constructed medical staff medical safety advice quality evaluation index system and the results of demand analysis (combined with the above platform design content).

[0109] Among them, for the quality evaluation index system for medical safety suggestions made by medical staff, it can also involve steps such as constructing a content framework for medical safety suggestion quality evaluation indicators, establishing a content system for medical safety suggestion quality evaluation indicators, constructing a medical safety suggestion quality evaluation index model, and preliminarily verifying the medical safety suggestion quality evaluation indicators. In this way, the quality evaluation index system for medical safety suggestions made by medical staff can be finally determined, which can be used to build a medical safety-oriented suggestion platform for medical staff in combination with the results of demand analysis.

[0110] And platform demand analysis involves platform demand analysis and functional demand analysis;

[0111] (1) Platform demand analysis involves the authority demand analysis of medical staff, hospital managers, and system administrators;

[0112] 1. In practical applications, the authority requirements of medical staff may include:

[0113] Submit medical safety suggestions;

[0114] Requesting edits to submitted content;

[0115] Check the progress of personal suggestions and the feedback from the review team;

[0116] View personal advice ratings;

[0117] View the public announcement of suggestion review results, etc.

[0118] 2. In actual applications, the authority requirements of hospital managers may include:

[0119] Responsible for the planning, supervision and guidance of medical staff's safety advice activities;

[0120] Review and approve the management measures for medical staff's safety suggestions;

[0121] Review the controversial suggestions of the review team;

[0122] Approve the annual budget and reward plan for safety advice activities;

[0123] Review and approve major safety recommendations;

[0124] Coordinate and handle other major matters of the event.

[0125] 3. In actual applications, the system administrator's authority requirements may involve ensuring the daily maintenance, operation, and troubleshooting of the platform.

[0126] (2) Functional requirement analysis involves the requirements for suggestion submission, suggestion evaluation, suggestion decision-making, suggestion feedback, suggestion tracking and suggestion statistical analysis.

[0127] 1. In actual application, the requirements for suggestion submission may include:

[0128] Select the type of suggestion (such as safety suggestion, suggestion behavior to promote safety), fill in and upload the relevant content of the suggestion.

[0129] 2. In practical applications, the requirements for advice and evaluation may include:

[0130] Use the suggestion quality evaluation index system to evaluate the quality of each suggestion application submitted by medical staff;

[0131] The backend automatically ranks and divides the quality of the suggestions of the evaluation objects according to the scoring results of hospital managers.

[0132] 3. In practical applications, the need for advice and decision-making may involve:

[0133] Providing suggestion evaluation results can be used to process suggestion applications submitted by medical staff.

[0134] 4. In practical applications, the requirements for suggestions and feedback may include:

[0135] Provide feedback on suggestions and implementation progress to medical staff who make suggestions;

[0136] Publicly announce the approved suggestion projects, including the name of the suggestion, the person who made the suggestion, the implementing department, and the specified time limit for implementation.

[0137] 5. Suggestion tracking requirements in practical applications may involve:

[0138] Follow up and supervise the implementation of the project and make effect evaluation, and report the evaluation results to the relevant review leadership group in a timely manner according to procedures. The feedback content includes the evaluation method, process, observation results and review conclusions;

[0139] After the suggestions are implemented, the implementing ward or specialty will issue a summary report and submit it to the review teams at all levels.

[0140] In this way, through these demand analysis contents, we can combine the medical safety advice quality evaluation index system of medical staff constructed previously to better complete the construction and processing of the medical safety-oriented medical staff advice platform of this application.

[0141] Among them, it can be understood that for the construction and processing of the medical staff advice platform for medical safety in the embodiment here, in the specific operation, it can be completed autonomously by the relevant equipment, and in some cases, manual intervention may be involved in some details in order to build a more adaptive and actual medical staff advice platform for medical safety.

[0142] Finally, in general, for the above solution content, in response to the demand for building a medical staff advice platform for medical safety that is ignored by the existing technology, while introducing a set of construction solutions for building a medical staff advice platform for medical safety, it also provides corresponding optimization settings from a series of details, so as to further enhance the platform performance of the medical staff advice platform for medical safety. In this way, information technology will help to standardize and guide, scientifically manage the medical staff's advice behavior, improve the medical staff's enthusiasm for advice, and transform the medical staff's advice behavior into a driving force for improving medical safety, thereby promoting the continuous improvement of the hospital's medical safety level.

[0143] On the basis of the medical staff suggestion platform for medical safety provided in the present application, the present application also provides a corresponding method for processing the medical staff suggestion platform for medical safety. Obviously, the processing method for the medical staff suggestion platform for medical safety is applied to the medical staff suggestion platform for medical safety. The medical staff suggestion platform for medical safety may include an application presentation layer, a data business layer and a data storage layer. The software architecture composed of the application presentation layer, the data business layer and the data storage layer is set up in the model-view-controller mode; the application presentation layer is responsible for the display function of the platform interface and the suggestion data; the data business layer is responsible for the business processing link between the application presentation layer and the data storage layer; the data storage layer is responsible for the data storage function; based on the application presentation layer, the data business layer and the data storage layer, the processing method for the medical staff suggestion platform for medical safety may include the following steps:

[0144] (1) Receive target suggestion data initiated by current medical staff regarding medical safety;

[0145] (2) Determine the target decision object for processing the target advice data online among the different decision objects set in advance;

[0146] (3) Outputting the target suggestion data to the target decision-making object to prompt the target decision-making object to respond and perform statistical analysis;

[0147] (4) Dynamically update the response progress of target suggestion data.

[0148] In an exemplary embodiment, the medical staff advice platform also includes a front-end interface layer corresponding to the application presentation layer. The front-end interface layer is responsible for displaying a specific front-end interface. The front-end interface layer is built using the vue.js architecture.

[0149] In yet another exemplary embodiment, the basic business module of the application presentation layer involves a user information module and an administrator module;

[0150] The user information module involves three basic services: user system, suggestion submission and suggestion query;

[0151] The administrator module involves two basic businesses: the login system and the authorization system.

[0152] In yet another exemplary embodiment, the data service layer provides data services in personal information management, feedback information query, configuration information management, and authorization information management based on the network request interface and the database interface;

[0153] Personal information management and feedback information query correspond to the user information module;

[0154] Configuration information management and authorization information management correspond to the administrator module.

[0155] In another exemplary embodiment, for the data storage layer, based on the configuration management provided by the configuration library, a scheme combining distributed cache Redis and relational database Mysql is specifically adopted;

[0156] For a request to read the first data, the first data is first read from the distributed cache Redis. If the first data is hit, the first data is directly returned. If the first data is not hit, the first data is queried from the relational database Mysql. After the first data is obtained, it is first written into the distributed cache Redis and then returned.

[0157] For a request to write the second data, the second data is first inserted or updated into the relational database Mysql, and then the corresponding key value key in the distributed cache Redis is deleted.

[0158] In another exemplary embodiment, the medical staff suggestion platform also includes a backend service layer, which involves a springboot framework corresponding to the configuration library and a tomcat server corresponding to the relational database Mysql.

[0159] In another exemplary embodiment, the business process modules of the medical staff suggestion platform corresponding to the work content include a suggestion submission module, a suggestion evaluation module, a suggestion decision module, a suggestion feedback module, a suggestion tracking and supervision module, and a suggestion statistical analysis module;

[0160] The suggestion submission module is used to receive suggestion data in a preset format and submit it after verification;

[0161] The suggestion evaluation module is used to classify the submitted suggestion data and then evaluate the suggestion quality;

[0162] The suggestion decision module is used to review the submitted suggestion data by the corresponding decision-making object;

[0163] The suggestion feedback module is used to provide feedback to the corresponding decision-making object on the submitted suggestion data;

[0164] The suggestion tracking and supervision module is used to track the processing progress of submitted suggestion data and issue reminders if it is not processed in time;

[0165] The suggestion statistics analysis module is used to statistically analyze different suggestion data.

[0166] In another exemplary embodiment, the medical staff suggestion platform is constructed based on the pre-constructed medical staff medical safety suggestion quality evaluation index system and the results of demand analysis;

[0167] Platform requirements analysis involves platform requirements analysis and functional requirements analysis;

[0168] The platform demand analysis involves the authority demand analysis of medical staff, hospital managers and system administrators;

[0169] Functional requirement analysis involves the requirements for suggestion submission, suggestion evaluation, suggestion decision-making, suggestion feedback, suggestion tracking and suggestion statistical analysis.

[0170] Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process of the processing method of the medical staff suggestion platform for medical safety described above can refer to the above Figure 1 The description of the medical staff advice platform for medical safety in the corresponding embodiment will not be repeated here in detail.

[0171] A person of ordinary skill in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be completed by instructions, or by controlling related hardware through instructions. The instructions may be stored in a computer-readable storage medium and loaded and executed by a processor.

[0172] To this end, the present application provides a computer-readable storage medium, which stores multiple instructions, which can be loaded by a processor to execute the steps of the processing method of the medical staff advice platform for medical safety in the present application. The specific operations can refer to the description of the processing method of the medical staff advice platform for medical safety, which will not be repeated here.

[0173] The computer-readable storage medium may include: a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0174] Since the instructions stored in the computer-readable storage medium can execute the steps of the processing method of the medical staff advice platform for medical safety in the present application, the beneficial effects that can be achieved by the processing method of the medical staff advice platform for medical safety in the present application can be achieved. Please see the previous description for details and will not be repeated here.

[0175] The above describes in detail the medical staff advice platform for medical safety, the processing method of the medical staff advice platform for medical safety, and the computer-readable storage medium provided by the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for technical personnel in this field, according to the ideas of the present application, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A medical staff advice platform for medical safety, characterized by: The medical safety-oriented medical staff advice platform includes an application presentation layer, a data service layer and a data storage layer. The software architecture composed of the application presentation layer, the data service layer and the data storage layer is set up using the model-view-controller mode; The application presentation layer is responsible for displaying the platform interface and suggestion data; The data service layer is used to be responsible for the business processing link between the application presentation layer and the data storage layer; The data storage layer is responsible for data storage function; Based on the application presentation layer, the data service layer and the data storage layer, the medical safety-oriented medical staff advice platform involves the following work contents: Receive target suggestion data initiated by current medical staff regarding medical safety; Determine a target decision object for processing the target suggestion data online among different preset decision objects; Outputting the target suggestion data to the target decision object to prompt the target decision object to perform response processing; Dynamically update the response progress of the target suggestion data and perform statistical analysis.

2. The medical staff advice platform for medical safety according to claim 1 is characterized in that: The medical safety-oriented medical staff advice platform also includes a front-end interface layer corresponding to the application presentation layer. The front-end interface layer is responsible for displaying a specific front-end interface. The front-end interface layer is built using the vue.js architecture.

3. The medical staff advice platform for medical safety according to claim 1 is characterized in that: The basic business modules of the application presentation layer involve a user information module and an administrator module; The user information module involves three basic services: user system, suggestion submission and suggestion query; The administrator module involves two basic services: logging into the system and authorizing the system.

4. The medical staff advice platform for medical safety according to claim 3 is characterized in that: The data service layer provides data services in personal information management, feedback information query, configuration information management, and authorization information management based on the network request interface and database interface; The personal information management and the feedback information query correspond to the user information module; The configuration information management and the authorization information management correspond to the administrator module.

5. The medical staff advice platform for medical safety according to claim 1 is characterized in that: For the data storage layer, based on the configuration management provided by the configuration library, a solution combining distributed cache Redis and relational database Mysql is specifically adopted; For a request to read the first data, the first data is first read from the distributed cache Redis, and if the first data is hit, the first data is directly returned; if the first data is not hit, the first data is queried from the relational database Mysql, and after the first data is obtained, it is first written into the distributed cache Redis, and then the first data is returned; For a request to write second data, the second data is first inserted or updated into the relational database Mysql, and then the corresponding key value key in the distributed cache Redis is deleted.

6. The medical staff advice platform for medical safety according to claim 5 is characterized in that: The medical staff suggestion platform also includes a back-end service layer, which involves a springboot framework corresponding to the configuration library and a tomcat server corresponding to the relational database Mysql.

7. The medical staff advice platform for medical safety according to claim 1 is characterized in that: The business process modules of the medical safety-oriented medical staff suggestion platform corresponding to the work content include suggestion submission module, suggestion evaluation module, suggestion decision module, suggestion feedback module, suggestion tracking and supervision module and suggestion statistical analysis module; The suggestion submission module is used to receive suggestion data in a preset format and submit it after verification; The suggestion evaluation module is used to classify the submitted suggestion data and then evaluate the suggestion quality; The suggestion decision module is used to review the submitted suggestion data by the corresponding decision object; The suggestion feedback module is used to provide feedback to the corresponding decision object on the submitted suggestion data; The suggestion tracking and supervision module is used to track the processing progress of the submitted suggestion data and issue reminders if the suggestion data is not processed in time; The suggestion statistical analysis module is used for statistically analyzing different suggestion data.

8. The medical staff advice platform for medical safety according to claim 1, characterized in that: The medical safety-oriented medical staff suggestion platform is built on the basis of a pre-constructed medical staff medical safety suggestion quality evaluation index system and the results of demand analysis; The platform requirement analysis involves platform requirement analysis and functional requirement analysis; The platform demand analysis involves the authority demand analysis of medical staff, hospital managers and system administrators; The functional requirement analysis involves the requirements for suggestion submission, suggestion evaluation, suggestion decision-making, suggestion feedback, suggestion tracking and suggestion statistical analysis.

9. A method for processing a medical staff suggestion platform for medical safety, characterized in that: The medical safety-oriented medical staff advice platform comprises an application presentation layer, a data service layer and a data storage layer. The software architecture composed of the application presentation layer, the data service layer and the data storage layer is set up in a model-view-controller mode; the application presentation layer is responsible for the display function of the platform interface and the advice data; the data service layer is responsible for the business processing link between the application presentation layer and the data storage layer; the data storage layer is responsible for the data storage function; based on the application presentation layer, the data service layer and the data storage layer, the processing method of the medical safety-oriented medical staff advice platform comprises: Receive target suggestion data initiated by current medical staff regarding medical safety; Determine a target decision object for processing the target suggestion data online among different preset decision objects; Outputting the target suggestion data to the target decision object to prompt the target decision object to perform response processing; Dynamically update the response progress of the target suggestion data and perform statistical analysis.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a plurality of instructions, wherein the instructions are suitable for being loaded by a processor to execute the method of claim 9.

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