Operating room information real-time monitoring system

Abstract

The invention discloses an operating room information real-time monitoring system, which comprises a data acquisition layer, a data transmission layer, a data storage layer, a data processing layer and a data application layer, and is characterized in that the data acquisition layer is used for acquiring operation information and operation process information from various information systems of a hospital; the data transmission layer is used for ensuring stable and rapid transmission of data from the acquisition end to the data processing center; the data storage layer is used for storing related data of the operating room and ensuring the safety and availability of the data; the data processing layer is used for real-time monitoring and data analysis functions and helping managers to know the operating state of the operating room in time; and the data application layer provides the overall condition of the operating room for a manager through a visual means. Through the implementation scheme, the turnover rate of the operating room is remarkably improved, and the waiting time of a patient is shortened.

Description

Technical Field

[0001] The present invention relates to the field of medical information, and in particular to a real-time monitoring system for operating room information. Background Art

[0002] In recent years, with the continuous advancement of medical technology, operating room management and operational efficiency have become increasingly important issues in hospital management. Existing operating room management systems often rely on manual record-keeping and post-analysis, lacking real-time monitoring and data analysis capabilities. This traditional management approach is not only prone to information lags, but can also lead to delays in surgical procedures and waste of resources. Existing technologies primarily focus on the automation and informatization of operating room equipment, but remain insufficient for real-time monitoring and optimization of surgical processes. Currently, operating room management often relies on manual record-keeping and simple spreadsheets, lacking systematic data analysis tools. Various aspects of the operating room process, such as patient admission, anesthesia, surgery, and discharge, are often difficult to monitor in real time, creating challenges for hospitals in surgical scheduling and resource allocation. Furthermore, existing operating room management systems often fail to effectively integrate data from different departments and campuses, resulting in information silos and impacting overall hospital operational efficiency. While some hospitals have begun to experiment with implementing information management systems, most systems still fail to provide comprehensive real-time data analysis and decision support.

[0003] Now the questions include:

[0004] 1. Process bottlenecks and delays: Due to the lack of real-time monitoring, bottlenecks and delays in the surgical process are difficult to detect and resolve in a timely manner, resulting in low operating room turnover and long patient waiting times.

[0005] 2. Inadequate resource management: The existing system is unable to effectively analyze surgical efficiency across departments and time periods, resulting in serious resource waste and vacant operating rooms, impacting the hospital's economic benefits.

[0006] 3. Insufficient data support: The ability to collect and analyze surgery-related data is insufficient, which cannot provide effective data support for the development of clinical pathways and the continuous improvement of nursing quality, affecting the improvement of the overall nursing quality in the operating room.

[0007] 4. Difficulty in allocating human resources: The lack of systematic analysis of the working hours and workload of operating room staff leads to irrational allocation of human resources, affecting the overall operational efficiency of the operating room. Summary of the Invention

[0008] The purpose of the present invention is to provide a real-time monitoring system for operating room information to solve the problems raised in the above background technology.

[0009] To achieve the above-mentioned purpose, the present invention provides a real-time monitoring system for operating room information, comprising a data acquisition layer, a data transmission layer, a data storage layer, a data processing layer, and a data application layer, wherein:

[0010] The data collection layer is used to obtain surgical information and surgical process information from various information systems of the hospital;

[0011] The data transmission layer is used to ensure the stable and fast transmission of data from the acquisition end to the data processing center;

[0012] The data storage layer is used to store operating room-related data to ensure data security and availability;

[0013] The data processing layer is used for real-time monitoring and data analysis, helping managers to understand the operating status of the operating room in a timely manner;

[0014] The data application layer provides managers with the overall situation of the operating room through visualization.

[0015] Furthermore, the surgical information includes the patient's basic information extracted from the hospital's inpatient medical record system, including name, age, gender and medical record number; surgical arrangement and cost information, including surgery name, surgery time, operating room number, surgeon, surgery level and surgery fee; the surgical process information includes real-time process data of the surgery obtained from the nursing information management system, including pick-up information, preparation time, anesthesia time, surgery time, and recovery time.

[0016] Furthermore, the data transmission layer adopts a combination of wired network and wireless network to ensure the stability and speed of data transmission; for surgical information with a large amount of data, wired network is used for transmission first to ensure the integrity and timeliness of the data.

[0017] Furthermore, the data storage layer establishes a dedicated database or server to classify and store surgical information, and regularly backs up and cleans up data to ensure data security and availability.

[0018] Furthermore, the data processing layer includes a real-time monitoring module that provides an overview function, displays surgical information in real time, and sets thresholds to trigger early warning information when the data exceeds the threshold.

[0019] Furthermore, the data processing layer includes a data analysis module, which uses a variety of analysis methods to improve the scientificity and effectiveness of operating room management, including trend analysis, comparative analysis, and data mining;

[0020] The trend analysis is to analyze the changing trend of surgical data over time and draw a line graph to observe the changing trend of the data. The surgical data includes the number of surgical procedures, surgical efficiency, surgical costs, and surgical resource utilization rate;

[0021] The comparative analysis is to compare the data differences between different operating rooms, departments or surgical teams to identify advantages and disadvantages, promote competition, and promote the improvement of the overall surgical process;

[0022] The data mining is to classify surgeries through cluster analysis, discover the usage and process relationship of different surgical levels or surgical teams, and provide more accurate guidance for operating room process management.

[0023] Furthermore, the surgical cost analysis counts the revenue within different time frames and makes year-on-year and month-on-month trend analysis, including surgical medical service revenue trend analysis, surgical laboratory examination revenue trend analysis, operating table trend analysis, and average duration of each surgery trend analysis.

[0024] Furthermore, for the data on operating table times, the data analysis module statistically analyzes the utilization efficiency of the operating room, including the number of inpatient operating rooms per day, the number of completed operating tables, the number of completed level 3 operating tables, the number of completed level 4 operating tables, the average occupancy time of each table, the utilization rate of the operating room at different times, and the time from the end of the operation to the patient leaving the operating room.

[0025] Furthermore, for surgical efficiency data, the data analysis module performs statistical analysis on preoperative efficiency and intraoperative efficiency. Preoperative efficiency includes the average delay time of the first surgery, the interval time for entering and leaving the operating room, and the average interval time between surgeries. Intraoperative efficiency includes the average waiting time before anesthesia, the average time of preoperative anesthesia, and the average time of surgery.

[0026] Furthermore, the data application layer displays the real-time status of the surgery and data analysis results through a large visual screen, and provides application software for managers to view surgical information and data analysis results on mobile devices. At the same time, regular reports are generated and archived based on the data analysis results. The report content includes surgical volume statistics, surgical costs, operating room resource utilization, and surgical efficiency analysis.

[0027] Compared with the prior art, the present system and method have the following advantages:

[0028] This invention ensures comprehensiveness and accuracy by acquiring basic patient information and real-time surgical workflow from the hospital's inpatient medical record system and nursing information management system. Through real-time data collection and processing, such as patient availability and equipment usage, real-time analysis processes can automatically identify delays. This allows for timely identification and adjustments, improving turnover rates.

[0029] The application establishes a special database or server, classifies and stores the operating room related data, and regularly backs up and cleans up to ensure the safety and availability of the data. Then, according to the real-time monitoring module, the progress and cost of the operation are displayed in real time, and a threshold is set to automatically send early warning information. The data and analysis results are displayed on the visual large screen and mobile application at any time, which is convenient for the management personnel to quickly understand the overall situation of the operating room, and generate regular reports for internal archiving and further analysis. Through systematic analysis of the working hours and workload of the operating room staff, the allocation of human resources is optimized, and the operation efficiency of the operating room is further improved.

[0030] In summary, the application improves the efficiency and quality of operating room management through real-time monitoring and data analysis. BRIEF DESCRIPTION OF DRAWINGS

[0031] Figure 1 It is a kind of operating room information real-time monitoring system structure diagram.

[0032] Figure 2 It is a kind of operating room information real-time monitoring system working principle diagram. DETAILED DESCRIPTION

[0033] The technical solutions in the embodiments of the application will be described clearly and completely below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, not all. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the application.

[0034] As shown in Figure 1 , Figure 2 The system structure diagram and working principle diagram of the application are shown respectively, the application provides a kind of operating room information real-time monitoring system, it aims at through real-time monitoring and data analysis technology, improve the efficiency and resource utilization of operating room management, system includes data acquisition layer, data transmission layer, data storage layer, data processing layer, data application layer.

[0035] The data collection layer is the foundation of the entire system, responsible for acquiring surgical data from various hospital information systems (such as the HIS (Hospital Information Management System), EMR (Computerized Medical Record System), LIS (Laboratory Information Management System), PACS (Picture Archiving and Communication System), and the nursing information management system). This layer is divided into surgical information collection and surgical process information collection. Surgical information collection extracts basic patient information from the hospital's inpatient medical record system (EMR), including but not limited to name, age, gender, and medical record number. It also obtains surgical scheduling and cost information, including the name of the surgery, time of surgery, operating room number, surgeon, surgical level, and cost. Surgical process collection obtains real-time surgical process data from related systems such as the nursing information management system, including pick-up and drop-off information, preparation time, anesthesia time, surgery time, and recovery time.

[0036] The data transmission layer ensures stable and rapid data transmission from the acquisition end to the data processing center. A combination of wired and wireless networks is used to ensure stable and fast data transmission. For surgical information with large data volumes, wired networks are preferred to ensure data integrity and timeliness. Data collected from various systems undergoes data cleaning, verification, and backup before being stored in the data center, known as the data storage layer.

[0037] The data storage layer is responsible for storing operating room-related data, ensuring data security and availability. A dedicated database or server is established to categorize and store surgical information, surgical procedures, personnel information, and more. Regular data backup and cleanup are performed to ensure data security and availability.

[0038] The data processing layer is the core of the system and includes a real-time monitoring module and a data analysis module. These modules provide real-time monitoring and data analysis, helping managers keep abreast of the operating room's operational status. The real-time monitoring module provides a real-time overview of surgical progress, surgical procedures, and costs. Thresholds are set, and when data exceeds normal ranges, warnings are automatically issued, such as those for first-operation delays and excessive surgical transfer times.

[0039] The data analysis module uses a variety of analytical methods to improve the scientificity and effectiveness of operating room management. These methods include trend analysis, efficiency analysis, comparative analysis, data mining, and other methods.

[0040] Trend analysis is to analyze the changing trends of data such as the number of surgical procedures, surgical efficiency, surgical costs, and surgical resource utilization over time, and draw a line graph to observe the changing trends of the data.

[0041] The number of operating rooms per day includes the number of operating rooms in the hospital, the number of completed operating rooms, the number of completed level 3 operating rooms, the number of completed level 4 operating rooms, the average occupancy time per operating room, the operating room utilization rate at different times (0-8 am, 8-16 pm, 4-12 pm, 4-16 pm, 8-12 pm), and the time from the end of the operation to the patient leaving the operating room. The calculation formula is as follows:

[0042] ;

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[0044]

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[0049] .

[0050] Surgical cost analysis includes trends in surgical medical service revenue, surgical laboratory test revenue, operating table number, and average duration per surgery. Surgical medical service revenue trend analysis compiles statistics on surgical medical service revenue over different timeframes (weekly, monthly, and annually), and analyzes year-over-year and month-over-month trends. Surgical laboratory test revenue trend analysis compiles statistics on surgical laboratory test revenue over different timeframes (weekly, monthly, and annually), and analyzes year-over-year and month-over-month trends. Operating table number trend analysis compiles statistics on operating table number over different timeframes (weekly, monthly, and annually), and analyzes year-over-year and month-over-month trends. Average duration per surgery analysis compiles statistics on average duration per surgery over different timeframes (weekly, monthly, and annually), and analyzes year-over-year and month-over-month trends. Operating room utilization analysis includes weekday operating room utilization trend analysis over different timeframes (weekly, monthly, and annually), and weekday operating room utilization trend analysis over different time periods.

[0051] The analysis of clinical surgical efficiency includes trend analysis of the number of inpatient surgeries, average surgical duration, average delay time for the first surgery, average waiting time before anesthesia, average preoperative anesthesia duration, and average postoperative waiting time in the recovery room.

[0052] Preoperative efficiency analysis includes the average delay time for the first surgery, the interval time between entering and exiting the operating room, and the average interval time between surgeries. Definition of the first surgery: If the first surgery in the operating room is a non-urgent surgery, the first surgery is considered the first surgery. If the first surgery is an urgent surgery and the end time of the surgery is > 7:30, it is not counted as the first surgery; if the end time of the surgery is ≤ 7:30, the second surgery is considered the first surgery. The calculation formula is as follows:

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[0056] Intraoperative efficiency analysis includes trend analysis of average waiting time before anesthesia, trend analysis of average preoperative anesthesia time, trend analysis of average operation time, and trend analysis of average postoperative waiting time in the recovery room.

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[0059] .

[0060] Comparative analysis is to compare the data differences between different operating rooms, departments or surgical teams, identify advantages and disadvantages, promote competition, and promote the improvement of the overall surgical process.

[0061] Data mining classifies surgeries through cluster analysis, discovers the usage and process relationships of different surgical levels or surgical teams, and provides more accurate guidance for operating room process management.

[0062] The data application layer uses visualization to help managers quickly understand the overall operating room status. This includes large-screen visualization, mobile display, and report generation and export. Large-screen visualization uses intuitive charts and graphs (such as bar charts, line charts, pie charts, and Gantt charts) to display real-time surgical status and data analysis results in the operating room control center or hospital management department. Mobile display provides a mobile application for managers to view surgical information and data analysis results on their phones or tablets, enabling mobile work and real-time decision-making. Report generation and export generates regular reports (such as daily, weekly, and monthly reports) based on data analysis results. These reports cover surgical volume statistics, surgical costs, operating room resource utilization, and surgical efficiency analysis. Reports can be exported to formats such as PDF and Excel for internal archiving and further analysis.

[0063] Through the above implementation scheme, the present invention significantly improves the turnover rate of the operating room and reduces the waiting time of patients by real-time monitoring of each link of the operating room. At the same time, the systematic data analysis capability enables the hospital to effectively identify bottlenecks in the surgical process, optimize resource allocation, reduce the vacancy rate of the operating room, and improve economic benefits. In addition, the real-time collection and analysis of data provides strong support for the formulation of clinical pathways and the continuous improvement of nursing quality, thereby improving the overall nursing quality of the operating room. By systematically analyzing the working hours and workload of operating room staff, the allocation of human resources is optimized and the operational efficiency of the operating room is further improved.

[0064] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A real-time monitoring system for operating room information, characterized in that: It includes data acquisition layer, data transmission layer, data storage layer, data processing layer, and data application layer, among which: The data collection layer is used to obtain surgical information and surgical process information from various information systems of the hospital; The data transmission layer is used to ensure the stable and fast transmission of data from the acquisition end to the data processing center; The data storage layer is used to store operating room-related data to ensure data security and availability; The data processing layer is used for real-time monitoring and data analysis, helping managers to understand the operating status of the operating room in a timely manner; The data application layer provides managers with the overall situation of the operating room through visualization.

2. The real-time monitoring system for operating room information according to claim 1, characterized in that: The surgical information includes the patient's basic information extracted from the hospital's inpatient medical record system, including name, age, gender and medical record number; as well as surgical arrangement and cost information, including surgery name, surgery time, operating room number, surgeon, surgery level and surgery fee; the surgical process information includes real-time process data of the surgery obtained from the nursing information management system, including pick-up information, preparation time, anesthesia time, surgery time and recovery time.

3. The real-time monitoring system for operating room information according to claim 1, characterized in that: The data transmission layer adopts a combination of wired network and wireless network to ensure the stability and speed of data transmission; for surgical information with large amounts of data, wired network is used for transmission first to ensure the integrity and timeliness of the data.

4. The real-time monitoring system for operating room information according to claim 1, characterized in that: The data storage layer establishes a special database or server to classify and store surgical information, and regularly backs up and cleans up data to ensure data security and availability.

5. The real-time monitoring system for operating room information according to claim 1, characterized in that: The data processing layer includes a real-time monitoring module that provides an overview function, displays surgical information in real time, and sets thresholds to trigger early warning information when the data exceeds the threshold.

6. The real-time monitoring system for operating room information according to claim 1, characterized in that: The data processing layer includes a data analysis module, which uses a variety of analysis methods to improve the scientificity and effectiveness of operating room management, including trend analysis, comparative analysis, and data mining; The trend analysis is to analyze the changing trend of surgical data over time and draw a line graph to observe the changing trend of the data. The surgical data includes the number of surgical procedures, surgical efficiency, surgical costs, and surgical resource utilization rate; The comparative analysis is to compare the data differences between different operating rooms, departments or surgical teams to identify advantages and disadvantages, promote competition, and promote the improvement of the overall surgical process; The data mining is to classify surgeries through cluster analysis, discover the usage and process relationship of different surgical levels or surgical teams, and provide more accurate guidance for operating room process management.

7. The real-time monitoring system for operating room information according to claim 6, characterized in that: The surgical cost analysis collects statistics on revenue within different time frames and makes year-on-year and month-on-month trend analysis, including surgical medical service revenue trend analysis, surgical laboratory examination revenue trend analysis, operating table trend analysis, and average duration of each surgery trend analysis.

8. The real-time monitoring system for operating room information according to claim 6, characterized in that: For the data on operating table times, the data analysis module statistically analyzes the utilization efficiency of the operating room, including the number of operating rooms per day, the number of completed operating tables, the number of completed level 3 operating tables, the number of completed level 4 operating tables, the average occupancy time of each table, the utilization rate of the operating room at different times, and the time from the end of the operation to the patient leaving the operating room.

9. The real-time monitoring system for operating room information according to claim 6, characterized in that: For surgical efficiency data, the data analysis module performs statistical analysis on preoperative efficiency and intraoperative efficiency. Preoperative efficiency includes the average delay time for the first surgery, the interval time for entering and exiting the operating room, and the average interval time between surgeries. Intraoperative efficiency includes the average waiting time before anesthesia, the average time of preoperative anesthesia, and the average time of surgery.

10. The real-time monitoring system for operating room information according to claim 1, characterized in that: The data application layer displays the real-time status of surgery and data analysis results through a large visual screen, and provides application software for managers to view surgical information and data analysis results on mobile devices. At the same time, regular reports are generated and archived based on the data analysis results. The report content includes surgical volume statistics, surgical costs, operating room resource utilization, and surgical efficiency analysis.

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