Work staff management system for operating room

Abstract

The invention relates to the technical field of personnel management, and particularly discloses an operating room worker management system, which comprises the following steps: acquiring an operating room task demand, and generating an operating room task process according to the operating room task demand through modular matching; obtaining operating room worker basic data, extracting corresponding operating room worker basic data based on operating room task requirements, and constructing an operating room task worker management data set; constructing an operating room worker matching model, obtaining operating room worker basic data in the operating room task worker management data set and a real-time matching value of an operating room task process, calibrating main matching operating room workers, and performing simulation matching processing on the operating room workers; summarizing and processing simulation matching processing results, and managing operating room workers according to summarizing and processing results; and the management of the working personnel in the operating room is effectively realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of personnel management, in particular to a surgical room worker management system. BACKGROUND

[0002] With the continuous development of socialization, the task amount of hospitals is increasing, and the existing surgical room worker management has many problems, such as a large number of workers, a large amount of tasks, uneven distribution of tasks, task ambiguity leading to task execution response lag, and chaotic management, resulting in low quality and low efficiency of surgical room worker management. At the same time, with the emergence and popularity of intelligent integrated circuits and special chips, it is expected to break through the problem that the existing management system relies on traditional single-chip microcomputers or general-purpose processors, resulting in low running efficiency of task matching algorithm, difficulty in processing multi-dimensional real-time data, data interaction delay in each management link, inability to realize dynamic scheduling response, and limited precision and speed of complex task simulation matching.

[0003] Therefore, the present application provides a surgical room worker management system. SUMMARY

[0004] The present application provides a surgical room worker management system, comprising: acquiring surgical room task requirements and generating surgical room task processes according to modular matching of surgical room task requirements; acquiring surgical room worker basic data, extracting corresponding surgical room worker basic data based on surgical room task requirements, and constructing a surgical room task worker management data set; constructing a surgical room worker matching model, acquiring real-time matching values of surgical room worker basic data in the surgical room task worker management data set and the surgical room task process, calibrating the main matching surgical room worker, and performing simulation matching processing on the surgical room worker; summarizing the simulation matching processing results, and managing the surgical room worker according to the summary processing results; effectively realizing the management of the surgical room worker.

[0005] The present application provides a surgical room worker management system, comprising: A process generation module for acquiring surgical room task requirements and generating surgical room task processes according to modular matching of surgical room task requirements; A management data set module for acquiring surgical room worker basic data, extracting corresponding surgical room worker basic data based on surgical room task requirements, and constructing a surgical room task worker management data set; A simulation matching module for constructing a surgical room worker matching model, acquiring real-time matching values of surgical room worker basic data in the surgical room task worker management data set and the surgical room task process, calibrating the main matching surgical room worker, and performing simulation matching processing on the surgical room worker; The personnel management module is configured to aggregate the simulation matching processing result and manage the operating room workers according to the aggregation processing result.

[0006] Preferably, the process generation module comprises: The operating room task demand unit is configured to preliminarily acquire demand semantics of operating room task demand, set operating room task dimensions, and determine operating room task dimension demand, wherein the operating room task dimensions comprise operating room internal task dimensions, operating room external task dimensions, operating room personnel task dimensions, and operating room equipment dimensions. The demand semantics of the operating room task demand are dimensionally split according to the operating room task dimension demand, the dimensionally split result is subjected to standardized semantic analysis in the corresponding operating room task dimension, and finally the operating room task demand is determined. The operating room task process modularization matching unit is configured to set minimum process modules of the operating room task process, modularize match the operating room task demand with the minimum process modules, and determine demand process modules of the operating room task demand. The demand process modules are combined to generate the operating room task process.

[0007] Preferably, the management data set module comprises: The operating room worker basic data unit is configured to set operating room worker basic data categories, and acquire operating room worker basic data, wherein the operating room worker basic data categories comprise worker identity basic data categories, worker post basic data categories, worker skill basic data categories, worker scheduling basic data categories, worker current state basic data categories, and worker historical task basic data categories. The operating room task demand category analysis unit is configured to perform category analysis processing on the operating room task demand, and determine operating room task demand categories, wherein the operating room task demand categories comprise operating room task demand identification categories, operating room task demand type categories, operating room task demand personnel categories, operating room task demand location categories, operating room task demand equipment categories, and operating room task demand level categories. The operating room task worker management data set unit is configured to perform feature matching between the operating room task demand categories and the operating room worker basic data categories, and acquire matching demand categories of the operating room task demand in the operating room workers. The corresponding operating room worker basic data is extracted according to the matching demand categories, and the operating room task worker management data set is constructed.

[0008] Preferably, the simulation matching module comprises: The operating room worker matching model unit is configured to acquire historical operating room task worker management data, and generate historical operating room task worker management data features. obtaining an operating room worker management target, generating operating room worker management target features and calibrating them as model core architecture features, combining historical operating room worker management data features to build an operating room worker matching model; a model optimization unit for generating operating room task demand features according to operating room task demands; generating operating room task worker management data features according to operating room task worker management data sets; optimizing architecture features of the model core architecture features according to the operating room task demand features and the operating room task worker management data features; an architecture feature vector unit for feature vector processing of the architecture features of the optimized model core architecture features, obtaining operating room task demand feature vectors and operating room task worker management data feature vectors; vector normalization processing of the operating room task demand feature vectors and the operating room task worker management data feature vectors; a real-time matching value unit for setting real-time matching weight values of the vector normalized operating room task demand feature vectors and the operating room task worker management data feature vectors according to operating room task demands; obtaining vector normalization matching values of the operating room task worker management data feature vectors and the operating room task demand feature vectors according to the vector normalization processing results; obtaining operating room task sub-processes by process division of operating room task processes according to operating room task process nodes; performing process matching of operating room task demands in operating room task sub-processes, and inputting operating room worker basic data in the operating room task worker management data set corresponding to the process matching into the operating room worker matching model after architecture feature optimization; obtaining real-time matching sub-values of the operating room worker basic data in the operating room task worker management data set within the operating room task sub-process according to the real-time matching weight values and the vector normalization matching values; obtaining real-time matching values of the operating room worker basic data in the operating room task worker management data set and the operating room task process by summarizing the real-time matching sub-values; a main matching operating room worker calibration unit for calibrating a specified operating room task worker as a main matching operating room worker of a corresponding operating room task sub-process when the operating room task demand has the specified operating room task worker; When the operating room task demand does not exist the designated operating room task worker, the operating room worker basic data corresponding to the maximum value of the real-time matching sub-value in the operating room task sub-process is acquired, and the corresponding operating room task worker is marked as the main matching operating room worker of the corresponding operating room task sub-process; The simulation matching unit is configured to perform simulation matching processing on the operating room workers according to the operating room worker matching model optimized according to the architecture features and the main matching operating room worker.

[0009] Preferably, the simulation matching unit comprises: The simulation matching block is configured to extract the task flow corresponding to the main matching operating room worker from the operating room task flow, and acquire the remaining operating room task flow. The operating room worker basic data corresponding to the operating room workers other than the main matching operating room worker is input into the operating room worker matching model optimized according to the architecture features, and the remaining real-time matching sub-value of the operating room worker basic data corresponding to the operating room workers other than the main matching operating room worker and the remaining operating room task flow is acquired. The operating room worker matching the remaining operating room task flow is determined according to the remaining real-time matching sub-value, and the main matching operating room worker is combined to be the operating room task simulation matching worker of the operating room task flow. The simulation evaluation block is configured to perform simulation evaluation on the operating room task simulation matching worker according to the remaining real-time matching sub-value and the real-time matching value, and acquire the simulation evaluation value of the operating room task simulation matching worker. The simulation evaluation threshold is set, when the simulation evaluation value of the operating room task simulation matching worker is not lower than the simulation evaluation threshold, it is determined that the operating room task simulation matching worker is qualified, and it is determined that the simulation matching processing is qualified. When the simulation evaluation value of the operating room task simulation matching worker is lower than the simulation evaluation threshold, it is determined that the operating room task simulation matching worker is unqualified, the main matching operating room worker is sequentially replaced and marked, and the simulation matching processing is re-performed.

[0010] Preferably, the personnel management module comprises: The simulation matching processing result summarizing unit is configured to summarize the simulation matching processing results according to the time sequence, and mark the simulation matching processing results with conflicts in the same time sequence as abnormal simulation matching processing results. The abnormal reason of the abnormal simulation matching processing result is located, and the abnormal reason is intervened to the simulation matching processing results without conflicts in the same time sequence; When the simulation matching processing results without conflicts in the same time sequence are determined, the summarizing processing is completed. The operating room worker management unit is used for managing operating room workers according to the simulation matching processing result after the summary processing is completed.

[0011] Preferably, the operating room worker management unit comprises: The operating room worker management visual block is used for visualizing the simulation matching processing result after the summary processing is completed. The operating room worker management scheduling intervention block is used for monitoring and scheduling in real time during the time period when the simulation matching processing result after the summary processing is completed is displayed to the operating room task execution, and when the temporary scheduling of the operating room worker is monitored, the corresponding simulation matching processing result affected by the temporary scheduling is intervened.

[0012] Preferably, the operating room worker management unit further comprises: The operating room worker management issuing module is used for issuing the management result of managing the operating room worker to the operating room worker through multiple channels. The operating room worker management determining module is used for determining whether the operating room worker accepts or refuses the management result when the management result is issued to the operating room worker. When the operating room worker determines to accept the management result, the operating room worker is reminded to perform the corresponding operating room task according to the management result. When the operating room worker determines to refuse the management result, the reason for the refusal is evaluated and the management result is intervened again.

[0013] The present application has the following beneficial effects compared with the prior art: The operating room task flow is generated by acquiring the operating room task demand and modularly matching according to the operating room task demand; the operating room worker basic data is acquired, the corresponding operating room worker basic data is extracted based on the operating room task demand, and the operating room task worker management data set is constructed; the operating room worker matching model is constructed, the real-time matching value of the operating room worker basic data in the operating room task worker management data set and the operating room task flow is acquired, the main matching operating room worker is calibrated, and the operating room worker is simulated and matched; the simulation matching processing result is summarized and processed, and the operating room worker is managed according to the summary processing result; the management of the operating room worker is effectively realized, and the processing efficiency of the system can be improved by integrating the intelligent integrated circuit and the special chip, the local rapid response of the temporary scheduling is realized, the real-time and reliability of the management are further guaranteed, the scene application of the artificial intelligence technology in the intelligent medical industry field can be accelerated, and the intelligent transformation of the medical industry field is promoted.

[0014] Other features and advantages of the present application will be set forth in the description that follows, and in part will be apparent from the description, or can be learned by practice of the application. The purposes and other advantages of the present application will be realized and attained by the structure particularly pointed out in the written description and claims hereof.

[0015] The technical solutions of the present application are described in further detail below with reference to the accompanying drawings and examples. BRIEF DESCRIPTION OF DRAWINGS

[0016] The accompanying drawings are included to provide a further understanding of the present application, and constitute a part of the specification, illustrate embodiments of the present application and are used to explain the present application, and do not constitute a limitation of the present application. In the drawings: Figure 1 A system schematic diagram of a surgical room worker management system according to an embodiment of the present application. DETAILED DESCRIPTION

[0017] The preferred embodiments of the present application are described below with reference to the accompanying drawings, and it should be understood that the preferred embodiments described herein are only used to illustrate and explain the present application, and do not limit the present application. Example 1:

[0018] The present application provides a surgical room worker management system, referring to Figure 1 , comprising: A process generation module for obtaining surgical room task requirements and generating surgical room task processes according to the modular matching of the surgical room task requirements; A management data set module for obtaining surgical room worker basic data, extracting corresponding surgical room worker basic data based on surgical room task requirements, and constructing a surgical room task worker management data set; A simulation matching module for constructing a surgical room worker matching model, obtaining real-time matching values of surgical room worker basic data in the surgical room task worker management data set and surgical room task processes, calibrating a primary matching surgical room worker, and performing simulation matching processing on the surgical room worker; A personnel management module for summarizing the simulation matching processing results and managing the surgical room worker according to the summarized results.

[0019] In this embodiment, the surgical room task requirement refers to the requirement of the surgical room to perform a task.

[0020] In this embodiment, the surgical room task process refers to the process of performing a surgical room task.

[0021] In this embodiment, the surgical room worker basic data refers to data representing surgical room worker information.

[0022] In this embodiment, the operating room task support staff management dataset refers to the data set of operating room support staff who can perform operating room tasks.

[0023] In this embodiment, the operating room staff matching model refers to a model used to match operating room staff with operating room tasks.

[0024] In this embodiment, the real-time matching value refers to the matching value between the basic data of operating room staff and the operating room task process in the operating room task staff management dataset obtained according to the operating room staff matching model.

[0025] In this embodiment, the primary matched operating room staff refers to the operating room staff who are required to perform operating room tasks.

[0026] In this embodiment, the simulated matching process refers to the simulated operation performed based on the operating room staff matching model and the main matched operating room staff.

[0027] The beneficial effects of the above technologies are as follows: First, they acquire operating room task requirements and generate operating room task workflows through modular matching based on these requirements. Second, they acquire basic data on operating room support staff, extract corresponding basic data based on operating room task requirements, and construct an operating room task support staff management dataset. Third, they construct an operating room support staff matching model, obtain real-time matching values ​​between the basic data of operating room support staff in the operating room task support staff management dataset and the operating room task workflow, identify the primary matching operating room support staff, and perform simulated matching processing on the operating room support staff. Fourth, they summarize the simulated matching results and manage the operating room support staff based on the summarized results. This effectively realizes the management of operating room support staff. Example 2:

[0028] Based on Example 1, the process generation module includes: The operating room task requirement unit is used to initially obtain the requirement semantics of operating room task requirements, set the operating room task dimensions, and determine the operating room task dimension requirements. The operating room task dimensions include: internal operating room task dimensions, external operating room task dimensions, operating room personnel task dimensions, and operating room equipment dimensions. Based on the requirements of the operating room tasks, the semantics of the operating room task requirements are split into dimensions. The results of the dimension splitting are then standardized and semantically parsed in the corresponding operating room task dimensions to finally determine the operating room task requirements. The modular matching unit for operating room task flow is used to set the minimum flow module of the operating room task flow, and to perform modular matching between the operating room task requirements and the minimum flow module to determine the required flow module of the operating room task requirements. Combine the requirement process modules to generate the operating room task process.

[0029] In this embodiment, the operating room task requirements refer to the needs of the operating room to perform tasks, such as the need for the operating room to have staff perform surgeries.

[0030] In this embodiment, demand semantics refers to the language used by personnel to express their demands for tasks in the operating room, that is, semantics that has not been standardized and clearly defined, meaning that the demands may be ambiguous or subject to misunderstanding.

[0031] In this embodiment, the operating room task dimension refers to the dimension that breaks down the operating room tasks, such as the internal operating room task dimension, the external operating room task dimension, the operating room personnel task dimension, and the operating room equipment dimension.

[0032] In this embodiment, the internal task dimension of the operating room refers to the internal dimension of the operating room, such as the internal space dimension of the operating room.

[0033] In this embodiment, the operating room task dimension requirement refers to the dimensional requirements of the operating room task. For example, operating room task a1 has requirements in the dimensions of internal operating room tasks, operating room personnel tasks, and operating room equipment tasks.

[0034] In this embodiment, dimensional decomposition refers to the process of separately analyzing the semantic requirements of operating room task needs in each operating room task dimension.

[0035] In this embodiment, standardized semantic parsing refers to the standardized processing of the dimensional decomposition results, which is used to clarify the demand semantics of the operating room task requirements. For example, the demand semantics of the operating room task requirements, "The operating room requires support staff to perform surgery", is obtained as "The operating room b1 requires c1 type support staff to perform d1 type surgery" after standardized semantic parsing.

[0036] In this embodiment, the operating room task flow refers to the process of performing operating room tasks.

[0037] In this embodiment, the minimum process module refers to a module in the operating room task process that cannot be further subdivided into tasks. For example, the process module for retrieving equipment is the minimum process module.

[0038] In this embodiment, the operating room task requirements are modularly matched with the minimum process modules, that is, the minimum process modules required for the operating room task requirements are obtained.

[0039] In this embodiment, the demand process module refers to the minimum process module required for the operating room task requirements.

[0040] The beneficial effects of the above technical solution are as follows: by acquiring the operating room task requirements and generating the operating room task process in a modular matching manner according to the operating room task requirements, it is beneficial to match the operating room support staff according to the operating room task process, thereby improving the management efficiency of the operating room support staff. Example 3:

[0041] Based on Example 1, the dataset management module includes: The Operating Room Support Staff Basic Data Unit is used to set up the Operating Room Support Staff Basic Data Class and obtain the Operating Room Support Staff Basic Data. The Operating Room Support Staff Basic Data Class includes: Support Staff Identity Basic Data Class, Support Staff Position Basic Data Class, Support Staff Skill Basic Data Class, Support Staff Shift Schedule Basic Data Class, Support Staff Current Status Basic Data Class, and Support Staff Historical Task Basic Data Class. The operating room task requirement class parsing unit is used to perform class parsing processing on the operating room task requirements and determine the operating room task requirement class. The operating room task requirement class includes: operating room task requirement identifier class, operating room task requirement type class, operating room task requirement personnel class, surgical task requirement location class, surgical task requirement equipment class, and operating room task requirement level class. The Operating Room Task Support Personnel Management Dataset Unit is used to perform feature matching between the Operating Room Task Requirement Class and the Operating Room Support Personnel Basic Data Class to obtain the matching requirement class of the Operating Room Task Requirement among the Operating Room Support Personnel. Based on the matching requirement class, extract the corresponding basic data of operating room support staff and construct the operating room task support staff management dataset.

[0042] In this embodiment, the basic data category of operating room staff refers to the category of basic data of operating room staff, such as the category of basic data on staff identity.

[0043] In this embodiment, the basic data of operating room staff refers to data representing information about operating room staff.

[0044] In this embodiment, class resolution processing refers to the process of determining the category of operating room task requirements.

[0045] In this embodiment, the operating room task requirement category refers to the category of operating room task requirements, such as the category of operating room location requirements.

[0046] In this embodiment, feature matching is performed between the operating room task requirement class and the operating room support staff basic data class. That is, feature matching is performed between the same or similar categories. For example, the operating room task requirement personnel class in the operating room task requirement class is matched with the support staff job basic data class in the operating room support staff basic data class.

[0047] In this embodiment, the matching requirement class refers to the category that matches the operating room task requirements with the operating room support staff requirements. For example, the operating room task requirements and the operating room support staff requirements match in the support staff position a1 category, that is, the operating room support staff in the operating room task requirement a1 category position.

[0048] In this embodiment, the basic data of the corresponding operating room staff is extracted according to the matching demand class, that is, the data of the operating room staff that match the task requirements of the operating room is extracted.

[0049] In this embodiment, the operating room task support staff management dataset refers to the data set of operating room support staff who can perform operating room tasks. That is, the operating room support staff in this set meet the requirements of operating room tasks and can be used to perform operating room tasks.

[0050] The beneficial effects of the above technical solution are as follows: by acquiring basic data of operating room staff, extracting corresponding basic data of operating room staff based on the needs of operating room tasks, and constructing a management dataset for operating room task staff, the amount of data for operating room staff is effectively simplified, which facilitates the subsequent management of operating room staff. Example 4:

[0051] Based on Example 1, the simulation matching module includes: The operating room support staff matching model unit is used to acquire historical operating room task support staff management data and generate historical operating room task support staff management data features. Obtain the management objectives of operating room support staff, generate the management objective features of operating room support staff and mark them as the core architecture features of the model, and construct the operating room support staff matching model by combining the historical operating room support staff management data features. The model optimization unit is used to generate operating room task requirement features based on the operating room task requirements. Generate operating room task support personnel management data features based on the operating room task support personnel management dataset; Based on the characteristics of operating room task requirements and the characteristics of operating room staff management data, the core architecture features of the model are optimized. The architecture feature vector unit is used to perform feature vectorization processing on the core architecture features of the optimized model to obtain the feature vector of operating room task requirements and the feature vector of operating room task support personnel management data. Vector normalization is performed on the feature vectors of operating room task requirements and the feature vectors of operating room task support personnel management data. The real-time matching value unit is used to set real-time matching weight values ​​for the operating room task requirement feature vector and the operating room task support staff management data feature vector, which are processed by vector normalization, according to the operating room task requirements. Based on the vector normalization processing results, obtain the vector normalization matching value between the feature vector of the operating room task support personnel management data and the feature vector of the operating room task requirements; The operating room task process is divided into sub-processes based on the nodes of the operating room task process. The operating room task requirements are matched in the operating room task sub-process, and the basic data of the operating room staff in the operating room task staff management dataset corresponding to the process matching are input into the operating room staff matching model after the architecture feature optimization. Based on the real-time matching weight value and the vector normalized matching value, obtain the real-time matching sub-value of the basic data of operating room support staff in the operating room task sub-process in the operating room task support staff management dataset. Summarize real-time matching sub-values ​​to obtain the real-time matching values ​​between the basic data of operating room support staff and the operating room task process in the operating room task support staff management dataset; The main matching operating room support staff identification unit is used to identify the designated operating room support staff as the main matching operating room support staff for the corresponding operating room task sub-process when there are designated operating room task support staff for the operating room task requirements. When there is no designated operating room support staff for the operating room task, obtain the basic data of the operating room support staff corresponding to the maximum real-time matching sub-value within the operating room task sub-process, and mark the corresponding operating room support staff as the main matching operating room support staff for the corresponding operating room task sub-process. The simulation matching unit is used to perform simulation matching processing on operating room staff based on the optimized operating room staff matching model and the main matching operating room staff.

[0052] In this embodiment, the historical operating room task support staff management data refers to the operating room task support staff management data for historical periods.

[0053] In this embodiment, the characteristics of historical operating room task support staff management data refer to the data characteristics generated based on historical operating room task support staff management data, which are used to simplify and accurately represent historical operating room task support staff management data.

[0054] In this embodiment, the management objectives for operating room support staff include, for example, the efficiency objective for operating room support staff management and the response rate objective for operating room support staff management.

[0055] In this embodiment, the operating room support staff management target characteristics refer to the characteristics generated based on the operating room support staff management targets.

[0056] In this embodiment, the core architecture features of the model refer to the core architecture features of the model for matching operating room staff.

[0057] In this embodiment, the operating room staff matching model refers to a model used to match operating room staff with operating room tasks.

[0058] In this embodiment, the operating room task requirement features refer to the features generated based on the operating room task requirements; the operating room task support staff management data refer to the features generated based on the operating room task support staff management data, both of which are used for simplified representation.

[0059] In this embodiment, architecture feature optimization refers to optimizing the core architecture features of the model based on the characteristics of operating room task requirements and the characteristics of operating room staff management data. In other words, it involves adjusting the model based on the operating room task requirements and the operating room staff to ensure the matching accuracy of the operating room staff matching model.

[0060] In this embodiment, feature vectorization refers to vectorizing the features.

[0061] In this embodiment, the operating room task requirement feature vector refers to the vector obtained by performing feature vectorization on the operating room task requirement features; the operating room task support staff management data feature vector refers to the vector obtained by performing feature vectorization on the operating room task support staff management data.

[0062] In this embodiment, vector normalization refers to normalizing vectors to unify them.

[0063] In this embodiment, the real-time matching weight value refers to the numerical value of the influence weight of the set vector normalization processing result on the real-time matching value.

[0064] In this embodiment, the vector normalized matching value refers to the ratio of the feature vector of the operating room task support staff management data to the feature vector of the operating room task requirements, obtained from the vector normalization processing result.

[0065] In this embodiment, the operating room task node refers to the node that divides the operating room tasks.

[0066] In this embodiment, the operating room task sub-process refers to the process determined by dividing the operating room task process according to the operating room task process nodes.

[0067] In this embodiment, the real-time matching sub-value refers to the matching value within the operating room task sub-process, that is, the numerical value of the degree of matching between the operating room staff and the operating room task sub-process.

[0068] In this embodiment, the real-time matching value refers to the matching value between the basic data of operating room staff and the operating room task process in the operating room task staff management dataset obtained according to the operating room staff matching model.

[0069] In this embodiment, the primary matched operating room staff refers to the operating room staff who are required to perform operating room tasks.

[0070] In this embodiment, the simulated matching process refers to the simulated operation performed based on the operating room staff matching model and the main matched operating room staff.

[0071] The beneficial effects of the above technical solution are as follows: by constructing a matching model for operating room support staff, the basic data of operating room support staff in the operating room task support staff management dataset is obtained and the real-time matching value of the operating room task process is obtained. The main matching operating room support staff are identified, and the operating room support staff are simulated and matched, which ensures that efficient and high-quality management of operating room support staff can be effectively achieved in the future. Example 5:

[0072] Based on Example 4, the simulated matching unit includes: The simulation matching block is used to extract the task flow corresponding to the main matched operating room staff in the operating room task flow and obtain the remaining operating room task flow. Input the basic data of operating room staff other than the main matched operating room staff into the operating room staff matching model after the architecture feature optimization, and obtain the remaining real-time matching sub-values ​​of the basic data of operating room staff other than the main matched operating room staff and the remaining operating room task flow. The remaining operating room staff are determined based on the remaining real-time matching sub-values, and the operating room staff matched in the remaining operating room task flow are combined with the main matched operating room staff and recorded as the operating room task simulation matching staff in the operating room task flow. The simulation evaluation block is used to perform a simulation evaluation of the operating room task simulation matching staff based on the remaining real-time matching sub-values, the real-time matching values, and the operating room task simulation matching staff, and to obtain the simulation evaluation value of the operating room task simulation matching staff. A simulation evaluation threshold is set. When the simulation evaluation value of the operating room task simulation matching staff is not lower than the simulation evaluation threshold, the operating room task simulation matching staff is deemed qualified, and the simulation matching process is deemed qualified. When the simulation evaluation value of the operating room task simulation matching staff is lower than the simulation evaluation threshold, the operating room task simulation matching staff is deemed unqualified, and the main matching operating room staff are replaced and re-matched.

[0073] In this embodiment, the remaining real-time matching sub-value refers to the matching value between the operating room staff (excluding the main matching operating room staff) and the remaining operating room task flow.

[0074] In this embodiment, the remaining operating room task flow refers to the operating room task flow other than the operating room task flow corresponding to the main matched operating room staff, that is, the operating room task flow to be executed by other operating room staff besides the main matched operating room staff.

[0075] In this embodiment, the remaining operating room staff are determined according to the remaining real-time matching sub-values, that is, the number of operating room staff required minus 1 is selected in descending order of the remaining real-time matching sub-values.

[0076] In this embodiment, the simulated matching of operating room staff refers to the simulated matching of operating room staff who will perform operating room tasks.

[0077] In this embodiment, the simulated evaluation values ​​of the operating room task simulation matching support staff are obtained: Where F represents the simulated evaluation value of the operating room task simulation matching support staff; xk1 represents the operating room task support staff management data feature vector in the k1th operating room task sub-process; yk1 represents the operating room task requirement feature vector in the k1th operating room task sub-process; wj1 represents the real-time matching weight value of the normalized operating room task requirement feature vector and the operating room task support staff management data feature vector. Indicates real-time matching of sub-values; This represents the feature vector of the operating room task staff management data within the sub-process of the k1th operating room task, excluding the main matching of operating room staff. This indicates the output when xk1 exists. Otherwise, output 0; represents the remaining real-time matching sub-values; l1 represents the number of processes in the operating room task sub-process; n1 represents the number of personnel in the operating room task simulation matching support staff; m1 represents the number of operating room task requirement feature vectors and operating room task support staff management data feature vectors after vector normalization.

[0078] In this embodiment, the simulation evaluation threshold refers to the threshold used to determine whether the simulation match is qualified.

[0079] In this embodiment, sequential personnel replacement calibration for the main matching operating room staff refers to replacing the main matching operating room staff for each process according to the operating room task flow, so as to ensure that the simulated evaluation value of the operating room task simulation matching staff is not lower than the simulated evaluation threshold.

[0080] In this embodiment, when the main matched operating room staff are replaced sequentially, the other corresponding operating room staff are replaced accordingly based on the remaining real-time matching sub-values.

[0081] The beneficial effects of the above technical solution are as follows: by determining the operating room task simulation matching staff and conducting simulation evaluation, the simulation matching process is made effective, and the efficient and high-quality management of operating room staff is further ensured in the future. Example 6:

[0082] Based on Example 1, the personnel management module includes: The simulation matching result summary unit is used to summarize the simulation matching results according to the time series, and to mark the simulation matching results that conflict with each other in the same time series as abnormal simulation matching results. The abnormal simulation matching results are used to locate the cause of the abnormality, and the abnormality is intervened by scheduling to the simulation matching results that do not conflict with the same time series. When there are no conflicting simulation matching results for the same time series, the aggregation process is considered complete. The staff management unit is used to manage operating room staff based on the summarized simulation matching results.

[0083] In this embodiment, there are conflicts within the same time series, such as conflicts in the location of the operating room or conflicts in the scheduling and management of operating room staff.

[0084] In this embodiment, the abnormal simulation matching result refers to the simulation matching result where there is a conflict within the same time series.

[0085] In this embodiment, the abnormal cause refers to the reason that causes a conflict in the same time series, such as the abnormal cause of a conflict in the scheduling and management of operating room staff.

[0086] The beneficial effects of the above technical solution are as follows: by summarizing and processing the simulation matching results, the operating room staff can be managed based on the summarizing and processing results, thus achieving efficient and high-quality management of the operating room staff. Example 7:

[0087] Based on Example 6, the support staff management unit includes: The staff management visual block is used to visualize the summarized and processed simulation matching results. The support staff management and scheduling intervention block is used to monitor and schedule in real time from the time the simulation matching processing results are displayed and summarized in the visualization to the execution of the task in the operating room. When temporary scheduling of operating room support staff is detected, scheduling intervention is performed on the corresponding simulation matching processing results affected by the temporary scheduling.

[0088] In this embodiment, the summarized simulation matching results are visualized, wherein the summarized simulation matching results can be sorted and visualized according to the time series.

[0089] In this embodiment, real-time monitoring and scheduling are carried out during the time period from the completion of the simulated matching processing results in the visualization display to the execution of the operating room task. That is, during the time period from the distribution of the operating room task display to the execution of the operating room task, emergencies are monitored and resolved.

[0090] In this embodiment, temporary scheduling refers to the scheduling of operating room staff due to unforeseen circumstances before the execution of tasks in the operating room.

[0091] In this embodiment, the corresponding simulation matching processing results affected by temporary scheduling are subject to scheduling intervention, such as replacing other operating room staff.

[0092] The beneficial effects of the above technical solution are as follows: by visualizing the results of the simulated matching process after the summary processing is completed and by intervening in the corresponding simulated matching results affected by temporary scheduling, the problem of chaotic management of operating room support staff is solved, and the management response of operating room support staff is ensured. Example 8:

[0093] Based on Example 1, it also includes: The support staff management and distribution module is used to distribute the management results of operating room support staff to the operating room support staff through multiple channels; The support staff management confirmation module is used to determine whether the operating room support staff accept or reject the management result when it is sent to them. When the operating room staff confirms the acceptance of the management results, remind them to perform the corresponding operating room tasks according to the management results; When operating room staff determine a rejection outcome, they assess the reasons for rejection and reschedule the intervention outcome.

[0094] In this embodiment, multiple channels are used, such as mobile phone channels, email channels, and display screen channels.

[0095] In this embodiment, the operating room staff can choose to accept or reject the management outcome, thus providing them with the right to choose and ensuring the rationality of the management of the operating room staff.

[0096] In this embodiment, the operating room staff are reminded to perform corresponding operating room tasks based on the management results, ensuring the effective execution of operating room tasks.

[0097] In this embodiment, the reasons for refusal are assessed to further ensure the rationality of the management of operating room staff.

[0098] The beneficial effects of the above technical solutions are as follows: by disseminating the management results of operating room staff to them through multiple channels and allowing them to confirm their acceptance or rejection of the management results, the management response and quality of operating room staff are further ensured.

[0099] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A management system for operating room support staff, characterized in that, include: Workflow generation module: Used to obtain operating room task requirements and generate operating room task workflows by modular matching based on the operating room task requirements; The management dataset module is used to acquire basic data on operating room support staff, extract corresponding basic data on operating room support staff based on operating room task requirements, and construct a management dataset for operating room task support staff. Simulation matching module: used to build a matching model for operating room support staff, obtain the real-time matching values ​​between the basic data of operating room support staff in the operating room task support staff management dataset and the operating room task process, identify the main matching operating room support staff, and perform simulation matching processing on the operating room support staff. Personnel Management Module: Used to summarize and process the results of the simulation matching process, and manage the operating room staff based on the summarized results.

2. The operating room staff management system according to claim 1, characterized in that, The process generation module includes: The operating room task requirement unit is used to initially obtain the requirement semantics of operating room task requirements, set the operating room task dimensions, and determine the operating room task dimension requirements. The operating room task dimensions include: internal operating room task dimensions, external operating room task dimensions, operating room personnel task dimensions, and operating room equipment dimensions. Based on the requirements of the operating room tasks, the semantics of the operating room task requirements are split into dimensions. The results of the dimension splitting are then standardized and semantically parsed in the corresponding operating room task dimensions to finally determine the operating room task requirements. The modular matching unit for operating room task flow is used to set the minimum flow module of the operating room task flow, and to perform modular matching between the operating room task requirements and the minimum flow module to determine the required flow module of the operating room task requirements. Combine the requirement process modules to generate the operating room task process.

3. The operating room staff management system according to claim 1, characterized in that, The dataset management module includes: The Operating Room Support Staff Basic Data Unit is used to set up the Operating Room Support Staff Basic Data Class and obtain the Operating Room Support Staff Basic Data. The Operating Room Support Staff Basic Data Class includes: Support Staff Identity Basic Data Class, Support Staff Position Basic Data Class, Support Staff Skill Basic Data Class, Support Staff Shift Schedule Basic Data Class, Support Staff Current Status Basic Data Class, and Support Staff Historical Task Basic Data Class. The operating room task requirement class parsing unit is used to perform class parsing processing on the operating room task requirements and determine the operating room task requirement class. The operating room task requirement class includes: operating room task requirement identifier class, operating room task requirement type class, operating room task requirement personnel class, surgical task requirement location class, surgical task requirement equipment class, and operating room task requirement level class. The Operating Room Task Support Personnel Management Dataset Unit is used to perform feature matching between the Operating Room Task Requirement Class and the Operating Room Support Personnel Basic Data Class to obtain the matching requirement class of the Operating Room Task Requirement among the Operating Room Support Personnel. Based on the matching requirement class, extract the corresponding basic data of operating room support staff and construct the operating room task support staff management dataset.

4. The operating room staff management system according to claim 1, characterized in that, The simulation matching module includes: The operating room support staff matching model unit is used to acquire historical operating room task support staff management data and generate historical operating room task support staff management data features. Obtain the management objectives of operating room support staff, generate the management objective features of operating room support staff and mark them as the core architecture features of the model, and construct the operating room support staff matching model by combining the historical operating room support staff management data features. The model optimization unit is used to generate operating room task requirement features based on the operating room task requirements. Generate operating room task support personnel management data features based on the operating room task support personnel management dataset; Based on the characteristics of operating room task requirements and the characteristics of operating room staff management data, the core architecture features of the model are optimized. The architecture feature vector unit is used to perform feature vectorization processing on the core architecture features of the optimized model to obtain the feature vector of operating room task requirements and the feature vector of operating room task support personnel management data. Vector normalization is performed on the feature vectors of operating room task requirements and the feature vectors of operating room task support personnel management data. The real-time matching value unit is used to set real-time matching weight values ​​for the operating room task requirement feature vector and the operating room task support staff management data feature vector, which are processed by vector normalization, according to the operating room task requirements. Based on the vector normalization processing results, obtain the vector normalization matching value between the feature vector of the operating room task support personnel management data and the feature vector of the operating room task requirements; The operating room task process is divided into sub-processes based on the nodes of the operating room task process. The operating room task requirements are matched in the operating room task sub-process, and the basic data of the operating room staff in the operating room task staff management dataset corresponding to the process matching are input into the operating room staff matching model after the architecture feature optimization. Based on the real-time matching weight value and the vector normalized matching value, obtain the real-time matching sub-value of the basic data of operating room support staff in the operating room task sub-process in the operating room task support staff management dataset. Summarize real-time matching sub-values ​​to obtain the real-time matching values ​​between the basic data of operating room support staff and the operating room task process in the operating room task support staff management dataset; The main matching operating room support staff identification unit is used to identify the designated operating room support staff as the main matching operating room support staff for the corresponding operating room task sub-process when there are designated operating room task support staff for the operating room task requirements. When there is no designated operating room support staff for the operating room task, obtain the basic data of the operating room support staff corresponding to the maximum real-time matching sub-value within the operating room task sub-process, and mark the corresponding operating room support staff as the main matching operating room support staff for the corresponding operating room task sub-process. The simulation matching unit is used to perform simulation matching processing on operating room staff based on the optimized operating room staff matching model and the main matching operating room staff.

5. The operating room staff management system according to claim 4, characterized in that, The simulated matching unit includes: The simulation matching block is used to extract the task flow corresponding to the main matched operating room staff in the operating room task flow and obtain the remaining operating room task flow. Input the basic data of operating room staff other than the main matched operating room staff into the operating room staff matching model after the architecture feature optimization, and obtain the remaining real-time matching sub-values ​​of the basic data of operating room staff other than the main matched operating room staff and the remaining operating room task flow. The remaining operating room staff are determined based on the remaining real-time matching sub-values, and the operating room staff matched in the remaining operating room task flow are combined with the main matched operating room staff and recorded as the operating room task simulation matching staff in the operating room task flow. The simulation evaluation block is used to perform a simulation evaluation of the operating room task simulation matching staff based on the remaining real-time matching sub-values, the real-time matching values, and the operating room task simulation matching staff, and to obtain the simulation evaluation value of the operating room task simulation matching staff. A simulation evaluation threshold is set. When the simulation evaluation value of the operating room task simulation matching staff is not lower than the simulation evaluation threshold, the operating room task simulation matching staff is deemed qualified, and the simulation matching process is deemed qualified. When the simulation evaluation value of the operating room task simulation matching staff is lower than the simulation evaluation threshold, the operating room task simulation matching staff is deemed unqualified, and the main matching operating room staff are replaced and re-matched.

6. The operating room staff management system according to claim 1, characterized in that, The personnel management module includes: The simulation matching result summary unit is used to summarize the simulation matching results according to the time series, and to mark the simulation matching results that conflict with each other in the same time series as abnormal simulation matching results. The abnormal simulation matching results are used to locate the cause of the abnormality, and the abnormality is intervened by scheduling to the simulation matching results that do not conflict with the same time series. When there are no conflicting simulation matching results for the same time series, the aggregation process is considered complete. The staff management unit is used to manage operating room staff based on the summarized simulation matching results.

7. The operating room staff management system according to claim 6, characterized in that, The support staff management unit includes: The staff management visual block is used to visualize the summarized and processed simulation matching results. The support staff management and scheduling intervention block is used to monitor and schedule in real time from the time the simulation matching processing results are displayed and summarized in the visualization to the execution of the task in the operating room. When temporary scheduling of operating room support staff is detected, scheduling intervention is performed on the corresponding simulation matching processing results affected by the temporary scheduling.

8. The operating room staff management system according to claim 1, characterized in that, Also includes: The support staff management and distribution module is used to distribute the management results of operating room support staff to the operating room support staff through multiple channels; The support staff management confirmation module is used to determine whether the operating room support staff accept or reject the management result when it is sent to them. When the operating room staff confirms the acceptance of the management results, remind them to perform the corresponding operating room tasks according to the management results; When operating room staff determine a rejection outcome, they assess the reasons for rejection and reschedule the intervention outcome.

Images