Perioperative data processing method, medical system, device, and storage medium

Abstract

The disclosure provides a perioperative data processing method, a medical system, equipment and a storage medium, and relates to the technical field of computers. The method comprises the following steps: acquiring a plurality of perioperative data; dividing the perioperative data into a plurality of medical dimension data according to the data attributes of the perioperative data; generating a perioperative strategy according to the medical dimension data, wherein the perioperative strategy comprises a plurality of perioperative sub-strategies; and updating the medical dimension data according to the perioperative sub-strategies. In this way, reasonable perioperative sub-strategies are obtained by analyzing multi-dimensional medical data, and the medical dimension data is updated according to the perioperative sub-strategies, comprehensive data synchronization updating is realized, the data island phenomenon is solved, smooth information flow is ensured, medical management is optimized, resource waste is reduced, and a complete perioperative medical service system is constructed.

Description

Technical Field

[0001] This disclosure relates to the field of computer technology, and in particular to a perioperative data processing method, medical system, device and storage medium. Background Technology

[0002] Currently, many medical institutions use separate medical data processing systems, such as independent surgical scheduling software and material management platforms. Under this separate data processing model, information asynchrony problems occur frequently, seriously affecting the operational efficiency of the operating room and patient safety. Summary of the Invention

[0003] In view of this, the purpose of this disclosure is to overcome the shortcomings of the prior art and provide a perioperative data processing method, medical system, device and storage medium for analyzing perioperative data of different dimensions to obtain different perioperative sub-strategies, and updating medical data of each dimension according to the perioperative sub-strategies, so as to realize the comprehensive and synchronous updating of medical system data.

[0004] This disclosure provides the following technical solution:

[0005] Firstly, this disclosure proposes a perioperative data processing method applied to a medical system. The method includes: acquiring multiple perioperative data sets; dividing each perioperative data set into multiple medical dimension data sets according to their data attributes; generating a perioperative strategy based on each medical dimension data set, the perioperative strategy set including multiple perioperative sub-strategies; and updating each medical dimension data set according to each perioperative sub-strategy. In one embodiment, the medical dimension data sets include patient list dimension data and surgical management dimension data, the perioperative sub-strategies include surgical scheduling sub-strategies, and generating the perioperative strategy based on each medical dimension data set includes: obtaining surgical information of patients awaiting surgery based on the patient list dimension data; obtaining target medical staff information and target operating room information based on the surgical information and surgical management dimension data; and determining a surgical scheduling strategy based on the surgical information, target medical staff information, and target operating room information.

[0006] In one embodiment, the perioperative sub-strategy also includes a device management sub-strategy. The perioperative strategy is generated based on data from various medical dimensions and includes: obtaining information on devices to be applied for based on surgical information; and determining the device management sub-strategy based on the information on devices to be applied for, the information on target medical staff, and the information on the target operating room.

[0007] In one embodiment, the medical dimension data also includes caregiver dimension data, and the perioperative sub-strategy also includes a caregiver management sub-strategy. The perioperative strategy generated based on each medical dimension data also includes: obtaining nursing information of patients to be cared for based on patient list dimension data; obtaining target caregiver information based on nursing information and caregiver dimension data; and determining the caregiver management sub-strategy for patients to be cared for based on nursing information and target caregiver information.

[0008] In one embodiment, the medical dimension data also includes transport dimension data, and the perioperative sub-strategy also includes a patient transport sub-strategy. The perioperative strategy generated based on each medical dimension data also includes: determining the transport information of patients to be transported based on the patient list dimension data; determining the target transport personnel information based on the transport information and the transport dimension data; and determining the patient transport sub-strategy of patients to be operated on based on the transport information and the target transport personnel information.

[0009] In one embodiment, the perioperative sub-strategy further includes an intraoperative blood transfusion sub-strategy. The perioperative strategy is generated based on data from various medical dimensions, and further includes: obtaining blood type information of patients to be operated on based on patient list dimension data; obtaining blood transfusion information of patients to be operated on based on surgical information; and determining the intraoperative blood transfusion sub-strategy of patients to be operated on based on blood type information and blood transfusion information.

[0010] In one embodiment, the perioperative sub-strategy further includes a preoperative antibiotic prophylaxis sub-strategy. The perioperative strategy is generated based on data from various medical dimensions, and further includes: obtaining antibiotic requirement information for patients to be operated on based on patient list dimension data; and obtaining a preoperative antibiotic prophylaxis sub-strategy for patients to be operated on based on antibiotic requirement information.

[0011] Secondly, this disclosure proposes a medical system, which includes: an acquisition module for acquiring multiple perioperative data; a generation module for dividing the perioperative data into multiple medical dimension data according to the data attributes of each perioperative data; a processing module for generating a perioperative strategy based on each medical dimension data, the perioperative strategy including multiple perioperative sub-strategies; and an update module for updating each medical dimension data according to each perioperative sub-strategy.

[0012] Thirdly, this disclosure proposes a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, it implements the perioperative data processing method as proposed in the first aspect.

[0013] Fourthly, this disclosure proposes a computer-readable storage medium storing a computer program that, when executed by a processor, implements the perioperative data processing method as proposed in the first aspect.

[0014] This disclosure proposes a perioperative data processing method, medical system, equipment, and storage medium to acquire multiple perioperative data sets; divide these data sets into multiple medical dimensions based on their data attributes; generate perioperative strategies based on these medical dimensions, with each strategy including multiple perioperative sub-strategies; and update the medical dimension data according to each sub-strategy. In this way, by analyzing multi-dimensional perioperative data to obtain reasonable perioperative sub-strategies and updating the medical dimension data accordingly, comprehensive data synchronization and updates are achieved. This solves the problem of data silos, ensures smooth information flow, optimizes medical management, reduces resource waste, and constructs a complete perioperative medical service system. Attached Figure Description

[0015] To more clearly illustrate the technical solutions of this disclosure, the accompanying drawings used in the embodiments will be briefly described below. It should be understood that the following drawings only show some embodiments of this disclosure and should not be considered as a limitation on the scope of protection of this disclosure. In the various drawings, similar components are numbered similarly.

[0016] Figure 1 A flowchart illustrating a perioperative data processing method proposed in an embodiment of this disclosure is shown.

[0017] Figure 2 Another schematic flowchart of the perioperative data processing method proposed in this disclosure is shown;

[0018] Figure 3 A schematic diagram of the structure of a medical system according to an embodiment of this disclosure is shown; and

[0019] Figure 4 Another structural schematic diagram of the medical system proposed in this disclosure embodiment is shown;

[0020] Explanation of reference numerals in the attached figures:

[0021] 301 - Patient List Submodule; 302 - Surgical Management Submodule; 303 - Pathology Information Submodule; 304 - Instrument Management Submodule; 305 - High-Value Consumables Submodule; 306 - Nursing Assistant Management Submodule; 307 - Transport Management Submodule; 308 - Intraoperative Blood Use Management Submodule; 309 - Preoperative Antibiotics Submodule; 310 - Staff Scheduling Submodule; 311 - Statistical Analysis Submodule; 312 - Information Display Submodule; 313 - Document Submodule; 314 - Information Maintenance Submodule; 400 - Medical System; 401 - Acquisition Module; 402 - Generation Module; 403 - Processing Module; 404 - Update Module. Detailed Implementation

[0022] The technical solutions of the present disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present disclosure, and not all embodiments.

[0023] The components of the embodiments of this disclosure, typically described and illustrated in the accompanying drawings, can be arranged and designed in a variety of different configurations. Therefore, the following detailed description of the embodiments of this disclosure provided in the drawings is not intended to limit the scope of the claimed disclosure, but merely to illustrate selected embodiments of the disclosure. All other embodiments obtained by those skilled in the art based on the embodiments of this disclosure without inventive effort are within the scope of this disclosure.

[0024] In the following, the terms “comprising,” “having,” and their cognates, which may be used in various embodiments of this disclosure, are intended only to indicate a particular feature, number, step, operation, element, component, or combination thereof, and should not be construed as excluding, firstly, the presence of one or more other features, numbers, steps, operations, elements, components, or combinations thereof, or adding the possibility of one or more features, numbers, steps, operations, elements, components, or combinations thereof.

[0025] Furthermore, the terms "first," "second," and "third" are used only to distinguish descriptions and should not be interpreted as indicating or implying relative importance.

[0026] Unless otherwise specified, all terms used herein (including technical and scientific terms) shall have the same meaning as commonly understood by one of ordinary skill in the art to which the various embodiments of this disclosure pertain. Terms (such as those defined in a generally used dictionary) shall be interpreted as having the same meaning as in the context of the relevant technical field and shall not be interpreted as having an idealized or overly formal meaning, unless clearly defined in the various embodiments of this disclosure.

[0027] This disclosure provides a perioperative data processing method for analyzing perioperative data from different dimensions to obtain different perioperative sub-strategies, and updating perioperative data from each dimension according to the perioperative sub-strategies, so as to achieve comprehensive and synchronous updates of medical system data.

[0028] Please see Figure 1 A perioperative data processing method is applied to a medical system. The method includes steps S101 to S104, and each step is described in detail below.

[0029] Step S101: Obtain multiple perioperative data.

[0030] In this embodiment, the medical system acquires multiple perioperative data points from multiple subsystems in a timely manner. These perioperative data include preoperative, intraoperative, and postoperative data. For example, preoperative data can include comprehensive information such as patient imaging, laboratory tests, anesthesia, and medical history, thereby synchronously updating multiple aspects of perioperative data and providing a data foundation for medical data processing. Furthermore, a database can be constructed based on these multiple perioperative data points.

[0031] Step S102: Divide the perioperative data into multiple medical dimension data according to the data attributes of each perioperative data.

[0032] In this embodiment of the disclosure, the data attributes of each perioperative period data are analyzed, and each perioperative period data is divided into multiple medical dimension data according to the data attributes. Different medical dimension data correspond to different functional modules of the medical system, thereby enabling better organization, management and analysis of data, and thus improving the efficiency and quality of medical decision-making.

[0033] For example, if the data attributes include surgical method, operation duration, etc., then the corresponding perioperative data is the data of the surgical module. Therefore, the corresponding perioperative data can be classified into the medical dimension data related to surgery. At the same time, the perioperative data corresponding to the above data attributes is also the patient's personal pathological data. Therefore, the perioperative data can also be classified into the medical dimension data related to the patient list.

[0034] Step S103: Generate a perioperative strategy based on data from various medical dimensions. The perioperative strategy includes multiple perioperative sub-strategies.

[0035] In this embodiment of the disclosure, a comprehensive analysis is performed based on data from various medical dimensions to determine the perioperative medical strategy from multiple perspectives. At the same time, different perioperative sub-strategies can also be obtained based on different dimensional data.

[0036] Step S104: Update the medical data for each perioperative sub-strategy.

[0037] In this embodiment of the disclosure, the perioperative sub-strategy can update the data of each medical dimension, thereby realizing the synchronous update of medical system data, solving the data silo phenomenon, ensuring the smooth flow of medical information, and the perioperative sub-strategy obtained based on the updated dimension data can be used to optimize the management of medical resources and reduce resource waste.

[0038] As an example, when making perioperative sub-strategies related to surgical scheduling, the perioperative sub-strategies should include the identity information of the patients to be operated on and the surgical information, etc. Therefore, the surgical information in the perioperative sub-strategies can be updated to the medical dimension data related to the patient list and the medical dimension data related to surgical scheduling, respectively.

[0039] Please see Figure 2 In one specific embodiment, the medical dimension data includes patient list dimension data and surgical management dimension data, the perioperative sub-strategy includes surgical scheduling sub-strategy, and step S104 includes steps S201 to S203. Each step is described in detail below.

[0040] Step S201: Obtain surgical information for patients awaiting surgery based on the patient list dimension data.

[0041] In this disclosure embodiment, please refer to Figure 3 The processing module in the medical system includes a patient list submodule 301, which contains patient list dimension data, including personal data for multiple patients. This module is also linked to several other functional modules, such as the medical diagnosis module and the surgery management submodule 302. Therefore, each patient's personal data includes their identity information, medical history, diagnosis information, medication information, surgical information, and nursing information. Specifically, the patient list dimension data can be used to determine patients requiring surgery and their corresponding surgical information. Surgical information generally includes the patient's identity information, patient condition information, and surgery name information.

[0042] Step S202: Obtain the target medical staff information and target operating room information based on surgical information and surgical management dimension data.

[0043] In this embodiment of the medical system, the processing module further includes a surgical management submodule 302. The surgical management submodule 302 includes surgical management dimension data, which includes the scheduling information of each operating room. For example, operating room A1 may have a surgical time slot B1 for patient C1, and the target medical staff information D1 for performing the surgery; operating room A1 may have a surgical time slot B2 for patient C2, and the target medical staff information D2 for performing the surgery; operating room A2 may have a surgical time slot B1 for patient C3, and the target medical staff information D3 for performing the surgery. The surgical management submodule 302 can determine available candidate operating rooms and candidate medical staff information based on the surgical management dimension data, and match the target medical staff information and target operating room information between the candidate operating room information and the candidate medical staff information based on the patient's surgical information.

[0044] Step S203: Determine the surgical scheduling strategy based on surgical information, target medical staff information, and target operating room information.

[0045] In this embodiment of the disclosure, a surgical scheduling strategy is determined based on the surgical information of the patient to be operated on, the target medical staff information, and the target operating room information, thereby enabling effective management of surgical resources based on the reasonably obtained surgical scheduling strategy.

[0046] It should be noted that the surgical management submodule 302 is associated with the patient list submodule 301. After the surgical management submodule 302 determines the surgical scheduling sub-strategy, it can update the surgical information of patients awaiting surgery in the surgical scheduling sub-strategy, as well as their corresponding target medical staff information and target operating room information, to the surgical management dimension data and the patient list dimension data. At the same time, the surgical management submodule 302 can mark the surgical progress of patients awaiting surgery and update the surgical progress information to the surgical management dimension data and the patient list dimension data, thereby synchronously updating multiple medical dimension data corresponding to the surgical scheduling sub-strategy, as well as the progress status of the sub-strategy.

[0047] It should be noted that the patient list submodule 301 can also be associated with the pathology information submodule 303. The pathology information submodule 303 obtains the pathology information of each patient from the patient list dimension data, and analyzes the pathology information of each patient to obtain comprehensive medical information. At the same time, it can also notify medical staff of the patient's status in a timely manner based on the pathology information of each patient.

[0048] In one specific embodiment, the perioperative sub-strategy includes an instrument management sub-strategy, and step S103 further includes: obtaining the instrument information to be applied for based on the surgical information; and determining the instrument management sub-strategy based on the instrument information to be applied for, the target medical staff information, and the target operating room information.

[0049] In this embodiment of the disclosure, the processing module in the medical system further includes a device management submodule 304, which is associated with the patient list submodule 301. The device management submodule 304 can analyze the surgical information of patients awaiting surgery to obtain information on devices to be requested; and determine a device management sub-strategy based on the information on devices to be requested, target medical personnel information, and target operating room information. The information on devices to be requested may include device name information and quantity information.

[0050] It should be noted that the instrument management submodule 304 includes instrument management dimension data. After obtaining the instrument management sub-strategy, the information on the instruments to be requested for the patient awaiting surgery, along with the corresponding target medical staff information and target operating room information, can be updated to the instrument management dimension data and patient list dimension data. At the same time, the instrument management submodule 304 marks the usage status of instruments and updates the instrument usage status in the instrument management dimension data and patient list dimension data, thereby achieving synchronous updates of the patient list dimension data and instrument management dimension data. This allows for the tracking of the status and flow of surgical instruments, ensuring the integrity and availability of instruments, preventing risks caused by instrument problems during surgery, improving surgical safety and efficiency, optimizing the instrument preparation process during surgical preparation, and strengthening cost control and asset management.

[0051] It should be further explained that the medical device management submodule 304 can also be linked to the high-value consumables submodule 305. The high-value consumables submodule 305 obtains medical device management dimension data from the medical device management submodule 304, analyzes the medical device management dimension data to obtain high-value consumable information, and updates the high-value consumable information to the high-value consumable dimension data in the high-value consumables module. This high-value consumable information includes application information and usage information. This ensures the reasonable application and compliant use of consumables, strengthens cost control and inventory management, and, through strict monitoring of the application and usage process, medical institutions can ensure the reliable source and proper use of each consumable, reduce medical errors, improve the safety and effectiveness of surgical and treatment procedures, and ultimately improve the overall quality of medical services and patient satisfaction.

[0052] In one specific embodiment, the medical dimension data also includes caregiver dimension data, and the perioperative sub-strategy also includes a caregiver management sub-strategy. Step S103 further includes: obtaining nursing information of patients to be cared for based on the patient list dimension data; obtaining target caregiver information based on the nursing information and caregiver dimension data; and determining the caregiver management sub-strategy of patients to be cared for based on the nursing information and target caregiver information.

[0053] In this embodiment of the disclosure, the processing module in the medical system further includes a caregiver management submodule 306, which includes caregiver dimension data. This caregiver dimension data includes the scheduling information of multiple caregivers; for example, caregiver a1 cares for patient c1 during time period b1, and caregiver a1 cares for patient c2 during time period b2.

[0054] First, the caregiver management submodule 306 is associated with the patient list submodule 301. The caregiver management submodule 306 then obtains patient list dimension data from the patient list submodule 301 and, based on this data, acquires the nursing information for patients requiring care. This nursing information includes the time period requiring nursing services and the type of nursing service. The time period and type of nursing service can be obtained by analyzing the surgical and pathological information of the patients requiring care through the caregiver management submodule 306.

[0055] Furthermore, based on the nursing information of patients awaiting care and the data on caregivers, target caregiver information that meets the needs of patients in terms of nursing time and type is determined. Then, based on the correspondence between nursing information and target caregiver information, a caregiver management sub-strategy for patients awaiting care is generated, which accurately matches tasks with caregiver skills. Combined with the task distribution method and the number of personnel to be executed, the optimal allocation of human and material resources is achieved, and operating costs are reduced.

[0056] It should be noted that after the caregiver management submodule 306 generates the caregiver management sub-strategy for patients awaiting care, it will synchronously update the correspondence between the caregiver information of the patients awaiting care and the target caregiver information to the patient list dimension data and the caregiver dimension data, thereby improving response speed and task execution efficiency. At the same time, the caregiver management submodule 306 can mark the care status of patients awaiting care or the progress of the care tasks of target caregivers, and update the care status to the patient list dimension data, or update the completion status of care tasks to the caregiver dimension data, thereby monitoring task progress in real time, assessing caregiver workload, providing data support for performance evaluation and training, ensuring real-time information sharing, and improving the collaborative combat capability of the entire caregiver team.

[0057] It should be noted that the caregiver management submodule 306 is also linked to the specimen delivery submodule, blood bag collection submodule, room cleaning submodule, and supplies delivery submodule. The caregiver management submodule 306 supports task creation, searching, and management, detailing task types, caregiver requirements, and distribution modes to ensure efficient and orderly hospital logistics services. Caregivers can use the caregiver management submodule 306 to search, add, and edit caregiver information, detailing caregiver categories, status, and role assignments to ensure efficient collaboration within the logistics team. The caregiver task list in the caregiver management submodule 306 displays task details, supports multi-condition searching, and allows for one-click data export, ensuring transparent and efficient caregiver tasks. Furthermore, the caregiver management submodule 306 provides individual statistics on task acceptance, supports caregiver workload queries and export, and provides detailed statistics on task acceptance and completion, aiding in performance evaluation and resource optimization.

[0058] Caregiver Task Dashboard: Displays task progress in real time, including task name, status, executor and location, ensuring that logistical tasks are visible and controllable.

[0059] In one specific embodiment, the medical dimension data includes transfer dimension data, the perioperative sub-strategy includes a patient transfer sub-strategy, and step S103 further includes: determining the transfer information of the patient to be transferred based on the patient list dimension data; determining the target transfer personnel information based on the transfer information and the transfer dimension data; and determining the patient transfer sub-strategy of the patient to be transferred based on the transfer information and the target transfer personnel information.

[0060] In this embodiment, the processing module of the medical system further includes a transfer management submodule 307, which includes transfer dimension data. The transfer management submodule 307 is associated with the patient list submodule 301, thereby determining the transfer information of the patient to be transferred based on the patient list dimension data obtained from the patient list submodule 301. The transfer information includes the patient's identity information, transfer origin, transfer destination, transfer time, and transfer method. This transfer information can be obtained by the transfer management submodule 307 analyzing the patient's ward number, operating room, surgery time, and surgery type from the patient list dimension data.

[0061] Furthermore, based on the transfer information of the patients to be transferred, the information of target transfer personnel that meet the transfer needs of the patients to be transferred is matched from the transfer dimension data, so that the patient transfer sub-strategy of the patients to be transferred can be reasonably determined according to the correspondence between the transfer information and the target transfer personnel information.

[0062] It should be noted that after the transfer management submodule 307 generates a patient transfer sub-strategy for a patient to be transferred, it will synchronously update the correspondence between the transfer information of the patient to be transferred and the target transfer personnel information to the patient list dimension data and the transfer management dimension data. Simultaneously, the transfer management submodule 307 will monitor the transfer status of the patient to be transferred. This can be achieved by system operators marking the transfer status on the operating system corresponding to the transfer management submodule 307, thereby achieving rationalization and transparency of the patient transfer process.

[0063] In one specific embodiment, the perioperative sub-strategy includes an intraoperative blood transfusion sub-strategy, and step S103 further includes: obtaining the blood type information of the patient to be operated on based on the patient list dimension data; obtaining the blood transfusion information of the patient to be operated on based on the surgical information; and determining the intraoperative blood transfusion sub-strategy of the patient to be operated on based on the blood type information and the blood transfusion information.

[0064] In this embodiment of the disclosure, the processing module in the medical system further includes an intraoperative blood use management submodule 308, which manages the patient list submodule 301 and the surgery management submodule 302, thereby obtaining intraoperative blood use strategies based on patient list dimension data and surgery information.

[0065] As an example, the intraoperative blood management submodule 308 obtains the blood type information of the patients to be operated on based on the patient list dimension data, and obtains the blood use information of the patients to be operated on based on the surgical information. The blood use information includes blood volume information, blood use time information, blood use location information, etc.

[0066] It should be noted that after the intraoperative blood use management submodule 308 generates the intraoperative blood use sub-strategy for patients awaiting surgery, it will synchronously update the correspondence between the patients' blood type information and blood use information to the patient list dimension data and the intraoperative blood use dimension data. Simultaneously, the intraoperative blood use management submodule 308 will predict blood demand based on the blood use status of patients awaiting surgery. Therefore, the intraoperative blood use management submodule 308 can also generate perioperative sub-strategies related to blood inventory based on the patients' blood type information, blood use information, and intraoperative blood use dimension data, thereby avoiding blood inventory backlog or shortage and achieving efficient utilization of blood resources. Furthermore, detailed records provide a data foundation for blood cost accounting and budget planning.

[0067] In one specific embodiment, the perioperative sub-strategy further includes a preoperative antibiotic prophylaxis sub-strategy, and step S103 further includes: obtaining antibiotic requirement information of patients to be operated on based on patient list dimension data; and obtaining a preoperative antibiotic prophylaxis sub-strategy for patients to be operated on based on antibiotic requirement information.

[0068] In this embodiment of the disclosure, the processing module in the medical system further includes a preoperative antibiotic submodule 309, which is associated with the patient list submodule 301. The preoperative antibiotic submodule 309 analyzes the pathological and surgical information in the patient list dimension data to obtain antibiotic requirement information, and obtains a preoperative antibiotic prevention sub-strategy for patients awaiting surgery based on the antibiotic requirement information. Furthermore, the antibiotic requirement information in the preoperative antibiotic prevention sub-strategy is updated in the patient list dimension data, the preoperative antibiotic prevention dimension data, and the surgical dimension data.

[0069] It should be noted that the processing modules in the medical system also include personnel scheduling sub-module 310, statistical analysis sub-module 311, information screen sub-module 312, document sub-module 313, information maintenance sub-module 314, etc.

[0070] The personnel scheduling module 310 supports real-time shift allocation and adjustment, as well as the ability to query and analyze historical scheduling records, and comprehensive management of shift types and personnel information. Through intelligent scheduling, hospitals can optimize the allocation of human resources and improve the efficiency and quality of medical services.

[0071] The statistical analysis submodule 311 is linked to the patient list submodule 301, surgical management submodule 302, nursing assistant management submodule 306, transport management submodule 307, instrument management submodule 304, and intraoperative blood transfusion management submodule 308. Through visual charts and detailed lists, it statistically analyzes data from each linked module, helping hospital administrators gain a deeper understanding of key operational indicators such as operating room operations, medical documentation completion rates, surgical timeliness, and the workload of medical staff. Specific functions include analysis of gender and age distribution, surgical level and departmental surgical volume, monitoring of operating room utilization, quality control of documentation completion rates, assessment of the timeliness of the first surgery, and ranking of departments and doctors based on surgical volume and length of hospital stay. This improves operating room efficiency, strengthens medical quality control, optimizes surgical timeliness, and promotes the rational allocation of resources.

[0072] The information screen sub-module 312 is also linked to the surgical management sub-module 302, nursing assistant management sub-module 306, and transfer management sub-module 307, integrating surgical arrangements, family waiting, nursing assistant tasks, and door screen information display. Through real-time updated surgical arrangements and status information, the family waiting screen allows patients' relatives to keep track of the surgical progress at any time, the nursing assistant task screen ensures rapid response of logistical support, and the door screen further enhances environmental awareness and operating room access management. Overall, it optimizes internal hospital communication and external service experience, and builds a more open and efficient medical service environment.

[0073] The document management module 313 covers multiple aspects, including surgical nursing records, surgical safety checks, surgical count records, surgical patient handover, surgical patient handover records, surgical patient visit records, surgical risk assessments, and surgical patient health education forms, ensuring the standardization and normalization of medical services and patient safety. Particularly noteworthy is that, leveraging a low-code platform, the document management module achieves high flexibility and customization, significantly improving work efficiency and user experience.

[0074] The information maintenance submodule 314 connects to other modules of the medical system, used to manage and update the hospital's core data, including departmental personnel information, operating room information, surgical module information, form node configurations, and surgical procedure configurations. Through this module, the hospital can ensure the accuracy and timeliness of its data, support daily operational decisions, and provide a solid data foundation for the continuous optimization of medical services.

[0075] The perioperative data processing method proposed in this disclosure involves acquiring multiple perioperative data sets; dividing each perioperative data set into multiple medical dimension data sets based on their data attributes; generating a perioperative strategy based on each medical dimension data set, with each strategy including multiple perioperative sub-strategies; and updating each medical dimension data set according to each sub-strategy. In this way, by analyzing multi-dimensional perioperative data to obtain reasonable perioperative sub-strategies and updating each medical dimension data set according to these sub-strategies, comprehensive data synchronization and updates are achieved. This solves the problem of data silos, ensures smooth information flow, optimizes medical management, reduces resource waste, and constructs a complete perioperative medical service system.

[0076] In another aspect, this disclosure provides a medical system 400; please refer to [link to relevant documentation]. Figure 4 The system includes: an acquisition module 401, a generation module 402, a processing module 403, and an update module 404.

[0077] The acquisition module 401 is used to acquire multiple perioperative data.

[0078] The generation module 402 is used to divide the perioperative data into multiple medical dimension data according to the data attributes of each perioperative data.

[0079] The processing module 403 is used to generate perioperative strategies based on data from various medical dimensions. The perioperative strategies include multiple perioperative sub-strategies.

[0080] Update module 404 is used to update the medical data for each perioperative sub-strategy.

[0081] Optionally, the medical dimension data includes patient list dimension data and surgical management dimension data, and the perioperative sub-strategy includes surgical scheduling sub-strategy. The processing module 403 is also used to obtain surgical information of patients awaiting surgery based on the patient list dimension data; obtain target medical staff information and target operating room information based on the surgical information and surgical management dimension data; and determine the surgical scheduling sub-strategy based on the surgical information, target medical staff information, and target operating room information.

[0082] Optionally, the perioperative sub-strategy also includes an instrument management sub-strategy. The processing module 403 is also used to obtain the information of the instruments to be applied for based on the surgical information; and to determine the instrument management sub-strategy based on the information of the instruments to be applied for, the information of the target medical staff, and the information of the target operating room.

[0083] Optionally, the medical dimension data also includes caregiver dimension data, and the perioperative sub-strategy also includes a caregiver management sub-strategy. The processing module 403 is also used to obtain nursing information of patients to be cared for based on the patient list dimension data; obtain target caregiver information based on the nursing information and caregiver dimension data; and determine the caregiver management sub-strategy of patients to be cared for based on the nursing information and target caregiver information.

[0084] Optionally, the medical dimension data also includes transport dimension data, and the perioperative sub-strategy also includes a patient transport sub-strategy. The processing module 403 is also used to determine the transport information of the patients to be transported based on the patient list dimension data; determine the target transport personnel information based on the transport information and the transport dimension data; and determine the patient transport sub-strategy of the patients to be operated on based on the transport information and the target transport personnel information.

[0085] Optionally, the perioperative sub-strategy also includes an intraoperative blood use sub-strategy. The processing module 403 is also used to obtain the blood type information of the patients to be operated on based on the patient list dimension data; obtain the blood use information of the patients to be operated on based on the surgical information; and determine the intraoperative blood use sub-strategy of the patients to be operated on based on the blood type information and the blood use information.

[0086] Optionally, the perioperative sub-strategy also includes a preoperative antibiotic prophylaxis sub-strategy. The processing module 403 is also used to obtain antibiotic requirement information for patients to be operated on based on the patient list dimension data; and to obtain a preoperative antibiotic prophylaxis sub-strategy for patients to be operated on based on the antibiotic requirement information.

[0087] The system provided in this embodiment can execute the steps of the perioperative data processing method provided in this embodiment. To avoid repetition, the steps will not be repeated.

[0088] The medical system proposed in this disclosure acquires multiple perioperative data points; divides each perioperative data point into multiple medical dimension data points based on their data attributes; generates a perioperative strategy based on each medical dimension data point, the perioperative strategy including multiple perioperative sub-strategies; and updates each medical dimension data point based on each perioperative sub-strategy. In this way, by analyzing multi-dimensional perioperative data to obtain reasonable perioperative sub-strategies and updating each medical dimension data point based on these sub-strategies, comprehensive data synchronization and updates are achieved, thereby solving the data silo problem, ensuring smooth information flow, optimizing medical management, reducing resource waste, and constructing a complete perioperative medical service system.

[0089] Furthermore, embodiments of this disclosure provide a computer device, including a memory and a processor. The memory stores a computer program, which, when executed by the processor, implements the perioperative data processing method proposed in embodiments of this disclosure.

[0090] The device provided in this embodiment can execute the steps of the perioperative data processing method provided in this embodiment. To avoid repetition, the steps will not be described again.

[0091] This disclosure provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the perioperative data processing method provided in this disclosure.

[0092] In the embodiments of this disclosure, the computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, etc.

[0093] The computer-readable storage medium provided in this disclosure embodiment can implement the perioperative data processing method provided in this disclosure embodiment, and will not be described again here to avoid repetition.

[0094] In all examples shown and described herein, any specific values ​​should be interpreted as merely exemplary and not as limitations; therefore, other examples of exemplary embodiments may have different values.

[0095] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0096] The above embodiments are merely illustrative of several implementation methods of this disclosure, and their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of this disclosure. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this disclosure, and these all fall within the protection scope of this disclosure.

Claims

1. A data processing method based on the perioperative period, characterized in that, Applied to medical systems, the method includes: Acquire multiple perioperative data; Based on the data attributes of each perioperative data, the perioperative data is divided into multiple medical dimension data; A perioperative strategy is generated based on the medical dimension data, and the perioperative strategy includes multiple perioperative sub-strategies; and Update the medical dimension data according to each of the perioperative sub-strategies; The medical dimension data includes patient list dimension data and surgical management dimension data. The perioperative sub-strategy includes surgical scheduling sub-strategy. Generating the perioperative strategy based on each of the medical dimension data includes: Surgical information for patients awaiting surgery is obtained based on the patient list dimension data. Based on the surgical information and the surgical management dimension data, obtain the target medical staff information and the target operating room information; and The surgical scheduling strategy is determined based on the surgical information, the target medical staff information, and the target operating room information; The perioperative sub-strategy also includes a device management sub-strategy, and the generation of the perioperative strategy based on the medical dimension data further includes: Based on the surgical information, obtain the information on the device to be applied for; and The device management sub-strategy is determined based on the information of the device to be applied for, the information of the target medical staff, and the information of the target operating room; After determining the surgical scheduling strategy, the surgical information of patients awaiting surgery, along with their corresponding target medical staff information and target operating room information, are updated to the surgical management dimension data and the patient list dimension data; the surgical progress status of the patients awaiting surgery is marked, and the surgical progress status is updated to the surgical management dimension data and the patient list dimension data; After obtaining the device management sub-strategy, the device application information of the patient awaiting surgery, along with the corresponding target medical staff information and target operating room information, are updated in the device management dimension data and the patient list dimension data; the usage status of the device is marked, and the usage status of the device is updated in the device management dimension data and the patient list dimension data.

2. The data processing method based on the perioperative period according to claim 1, characterized in that, The medical dimension data includes caregiver dimension data, and the perioperative sub-strategy further includes a caregiver management sub-strategy. The step of generating a perioperative strategy based on each of the medical dimension data further includes: Nursing information for patients requiring care is obtained based on the patient list dimension data. Target caregiver information is obtained based on the nursing information and the caregiver dimension data; and Based on the nursing information and the target caregiver information, determine the caregiver management sub-strategy for the patient to be cared for.

3. The data processing method based on the perioperative period according to claim 1, characterized in that, The medical dimension data also includes transfer dimension data, and the perioperative sub-strategy also includes a patient transfer sub-strategy. The step of generating a perioperative strategy based on each of the medical dimension data further includes: The transfer information of patients to be transferred is determined based on the patient list dimension data. The target transfer personnel information is determined based on the transfer information and the transfer dimension data; and Based on the transport information and the target transport personnel information, a patient transport sub-strategy for the patient awaiting surgery is determined.

4. The data processing method based on the perioperative period according to claim 1, characterized in that, The perioperative sub-strategy also includes an intraoperative blood transfusion sub-strategy, and the generation of the perioperative strategy based on the medical dimension data further includes: The blood type information of the patients awaiting surgery is obtained based on the patient list dimension data. Based on the surgical information, obtain the blood usage information of the patient awaiting surgery; and The intraoperative blood transfusion strategy for the patient to be operated on is determined based on the blood type information and the blood transfusion information.

5. The data processing method based on the perioperative period according to claim 1, characterized in that, The perioperative sub-strategy also includes a preoperative antibiotic prophylaxis sub-strategy, and the generation of the perioperative strategy based on the medical dimension data further includes: Based on the patient list dimension data, obtain the antibiotic requirements information of the patients awaiting surgery; and Based on the antibiotic requirement information, a preoperative antibiotic prophylaxis sub-strategy is obtained for the patient scheduled for surgery.

6. A medical system, characterized in that, The system for performing the perioperative data processing method of claim 1, the system comprising: The acquisition module is used to acquire multiple perioperative data. The generation module is used to divide the perioperative data into multiple medical dimension data according to the data attributes of each perioperative data; The processing module is configured to generate a perioperative strategy based on the medical dimension data, wherein the perioperative strategy includes multiple perioperative sub-strategies; and The update module is used to update the medical dimension data according to each of the perioperative sub-strategies.

7. A computer device, characterized in that, It includes a memory and a processor, the memory storing a computer program that, when executed by the processor, implements the perioperative data processing method as described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, It stores a computer program that, when executed by a processor, implements the perioperative data processing method as described in any one of claims 1 to 5.

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