Method and system for intelligently monitoring physical parameters in sterilization process of disinfection and supply center

Abstract

The invention relates to an intelligent monitoring method and system for physical parameters in the sterilization process of a disinfection and supply center, and the method comprises the steps: before sterilization, collecting and analyzing the information of all sterilization packages in the batch by scanning the identification codes of the packages to be sterilized; based on the sterilization package information obtained through analysis, the system automatically judges and prompts the recommended sterilization program to an operator; after the sterilization program is executed, an actual program identifier and all key physical parameters of the sterilization process are automatically collected; comparing the actual program identifier with the recommended sterilization program to generate a program selection correctness judgment result; generating a physical parameter abnormity judgment result; displaying the program selection correctness judgment result and the physical parameter abnormity judgment result on a quality control display terminal in real time; based on the judgment result data, the system automatically generates a statistical analysis report of a specified period. According to the invention, the intelligence and accuracy of physical parameter monitoring in the sterilization process of the disinfection and supply center can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of disinfection and sterilization quality control in medical technology, and particularly relates to a sterilization process physical parameter intelligent monitoring method and system for a disinfection supply center, an electronic device and a non-transitory computer readable storage medium. BACKGROUND

[0002] The sterilization quality of a disinfection supply center is the lifeline of hospital infection control. At present, although physical monitoring of the sterilization process is stipulated as a basic requirement, it still faces many challenges in actual operation. First, in the program selection link, the risk of selecting the wrong sterilization program (such as misselecting the rapid program for a hard container box) may occur due to the incorrect memory, negligence and other reasons of the operator. Such sterilization program selection error is difficult to be found under the traditional monitoring system because the physical, chemical and biological monitoring may still show “pass”, but the actual sterilization effect may not meet the standard, and there is a risk of instrument-related surgical infection caused by sterilization failure. Second, in the parameter interpretation link, the physical monitoring needs to manually check all parameter curves and record sheets such as temperature, pressure, time and pulsating vacuum times, which is tedious and time-consuming, and is prone to misjudgment or omission due to fatigue and negligence. Third, in the device performance monitoring link, the performance verification (such as BD test and leak test) of the sterilizer itself also relies on manual recording and interpretation, and the data is isolated and cannot form a continuous performance trend analysis. Finally, in the quality management link, all the data of the above links exist in the form of paper or scattered electronic documents, and a large amount of time needs to be invested for manual collection, statistics and analysis to calculate management indicators such as program accuracy and parameter qualification rate, which is low in efficiency and difficult to perform efficient data tracing and trend mining.

[0003] Therefore, there is an urgent need in the art for an integrated digital solution that can realize program intelligent error prevention, parameter automatic interpretation, data centralized management and report automatic generation. SUMMARY

[0004] The present application provides a sterilization process physical parameter intelligent monitoring method, system, electronic device and non-transitory computer readable storage medium for a disinfection supply center, which can improve the intelligence and accuracy.

[0005] The technical solution of the present application to solve the above technical problems is as follows: The present application provides a sterilization process physical parameter intelligent monitoring method for a disinfection supply center, which comprises: Before sterilization, the identification code of the sterilization package is scanned to collect and analyze all sterilization package information of the batch; Based on the analyzed sterilization package information, the system automatically judges and prompts the recommended sterilization program to the operator; After the sterilization procedure is completed, the actual procedure identification and all key physical parameters of the sterilization process are automatically collected, the key physical parameters including temperature, pressure, time and the number of pulsating vacuum; The actual procedure identification is compared with the recommended sterilization procedure to generate a procedure selection correctness judgment result; The key physical parameters are compared with the preset physical parameter threshold range associated with the recommended sterilization procedure one by one to generate a physical parameter abnormality judgment result; The procedure selection correctness judgment result and the physical parameter abnormality judgment result are displayed in real time on a quality control display terminal; Based on the judgment result data, the system automatically generates a statistical analysis report for a specified period, which includes at least the sterilization procedure selection accuracy and the sterilization physical parameter pass rate.

[0006] Optionally, the monitoring range of the key physical parameters further includes the BD test procedure and the leak test procedure of the sterilizer. The system collects, compares and judges the physical parameters of the procedures, and calculates the BD procedure pass rate and the leak test procedure pass rate respectively.

[0007] Optionally, the period of the statistical analysis report includes monthly, quarterly and annually. The report is output in the form of visual charts and data tables, and supports tracing to the detailed records of any abnormal furnace.

[0008] Optionally, when generating the statistical analysis report, the system automatically calculates and outputs at least one of the following quality control indicators: sterilization procedure selection accuracy, sterilization physical parameter pass rate, BD procedure pass rate, leak test procedure pass rate and comprehensive quality compliance rate.

[0009] Optionally, when generating the statistical analysis report, the system provides a traceability and drilling function for abnormal data, which is used to locate the corresponding operator, sterilization equipment and abnormal parameter type of the abnormal furnace.

[0010] Optionally, when the system detects that the physical parameters deviate from the preset threshold, it automatically generates real-time alarm information and prompts the operator to review or correct in the form of highlighting, flashing or voice broadcast on the quality control display terminal.

[0011] Optionally, based on the analyzed sterilization package information, the system automatically judges and prompts the recommended sterilization procedure to the operator, including: When the required sterilization procedures of all sterilization packages in a batch are consistent, the system directly prompts the procedure; When the required procedures of sterilization packages in a batch are inconsistent, the system determines the optimal recommended procedure according to the preset conflict resolution rule, or outputs a procedure conflict warning information.

[0012] The application also provides a sterilization process physical parameter intelligent monitoring system for a sterilization supply center, the system comprising: An identification code scanning module for scanning the sterilization package identification code and obtaining sterilization package information; A program recommendation engine for determining and outputting a recommended sterilization program based on the sterilization package information; A device data acquisition module for obtaining the program identification and all key physical parameters of actual operation from the sterilizer; An intelligent judgment module for performing program correctness judgment and physical parameter abnormality judgment; A visual display module for centrally and real-time displaying the judgment results and alarm information on a quality control display terminal.

[0013] Optionally, the system further comprises a data statistical analysis module, and the data statistical analysis module further comprises a report engine for: Automatically calculating each quality control index based on the historical judgment results stored in the database, and outputting a visual report, the report being displayed in the form of a PDF file and a dynamic chart, and supporting periodic automatic generation and archiving.

[0014] Optionally, the system further comprises: An abnormal record tracing module for performing data backtracking analysis on the abnormal furnace marked in the report, and outputting detailed records containing operator information, device number, abnormal parameter type and abnormal time; A data interface module for data interfacing the generated statistical report and abnormal record with a hospital infection control system or a quality management system, to realize hospital-wide sharing and traceability of sterilization quality control results.

[0015] In addition, to achieve the above-mentioned purposes, the application further provides an electronic device, comprising: a memory for storing a computer software program; a processor for reading and executing the computer software program, thereby realizing the sterilization process physical parameter intelligent monitoring method for a sterilization supply center as described above.

[0016] In addition, to achieve the above-mentioned purposes, the application further provides a non-transitory computer readable storage medium, the storage medium storing a computer software program, the computer software program being executed by a processor to realize the sterilization process physical parameter intelligent monitoring method for a sterilization supply center as described above.

[0017] The application has the following beneficial effects: (1) The present application realizes full-parameter, dead-angle-free automatic monitoring from the conventional sterilization procedure to the equipment test procedure (including BD test, vacuum leak detection, air leakage detection, etc.), covering all key physical quantities of the sterilization process. Through the multi-channel data acquisition and dynamic comparison mechanism, the integrity and timeliness of the monitoring data are ensured, and the manual missed detection or omission phenomenon is effectively avoided, thereby comprehensively improving the monitoring accuracy and safety reliability of the sterilization process.

[0018] (2) The present application automatically converts the sterilization process data into quantifiable management indicators (including procedure selection accuracy, sterilization qualification rate, equipment pass rate, etc.) through the built-in intelligent statistical and analysis module, significantly reduces the manual statistical and summary workload, and changes the quality management from "experience judgment" to "data driven". This mechanism not only improves the objectivity and accuracy of quality control decision, but also provides data support for systematic problem identification and preventive maintenance.

[0019] (3) The present application has the functions of periodic quality control report automatic generation and one-key calling, and can generate monthly, quarterly and annual quality control data reports at any time point. The report content includes furnace record, abnormal distribution trend and performance verification result, which meets the requirements of hospital quality control, superior supervision inspection and JCI international review in multiple scenes. This function can provide systematic, traceable and verifiable data evidence for inspection, and significantly improves the efficiency and persuasiveness of the inspection work. BRIEF DESCRIPTION OF DRAWINGS

[0020] Figure 1 A flow chart of a disinfection supply center sterilization process physical parameter intelligent monitoring method provided by the present application is provided. Figure 2 A structural schematic diagram of a disinfection supply center sterilization process physical parameter intelligent monitoring system provided by the present application is provided. Figure 3 A possible hardware structure schematic diagram of an electronic device provided by the present application is provided. Figure 4 A possible hardware structure schematic diagram of a computer readable storage medium provided by the present application is provided. DETAILED DESCRIPTION

[0021] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0022] In the description of the present application, the terms "first", "second" are only for descriptive purpose, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined with "first", "second" can explicitly or implicitly include one or more of the features. In the description of the present application, the meaning of "a plurality of" is two or more, unless otherwise specifically limited.

[0023] In the description of the present application, the term "for example" is used to indicate "as an example, illustration or description". Any embodiment described as "for example" in the present application is not necessarily interpreted as more preferred or more advantageous than other embodiments. The following description is given in order to enable any person skilled in the art to implement and use the present application. In the following description, details are listed for the purpose of explanation. It should be understood that those skilled in the art can recognize that the present application can be implemented without using these specific details. In other examples, well-known structures and processes will not be described in detail in order to avoid unnecessary details making the description of the present application obscure. Therefore, the present application is not intended to be limited to the embodiments shown, but is consistent with the broadest scope consistent with the principles and features disclosed.

[0024] Please refer to Figure 1 , a flow chart of a disinfection supply center sterilization process physical parameter intelligent monitoring method of the present application is provided, including the following steps: Step 201, before sterilization, by scanning the identification code of the sterilization package, all sterilization package information of this batch is summarized and analyzed.

[0025] In one embodiment of the present application, before the sterilization operation starts, the operator first scans the unique identification code set on the sterilization package through the scanning terminal set in the sterilization preparation area. After receiving the identification code, the system automatically retrieves the detailed information corresponding to the identification code from the database, including the instrument name, the department it belongs to, the packaging type, the last sterilization time and the required sterilization program, etc. Then, the system summarizes and analyzes the information of all sterilization packages in the same batch to form the sterilization package information set of this batch.

[0026] Through the above steps, the system can accurately identify the sterilization demand characteristics of various instruments in this batch, providing a complete data basis for subsequent program recommendation and parameter comparison, thereby avoiding the sterilization risks caused by manual registration or memory errors.

[0027] Step 202, based on the sterilization package information obtained by analysis, the system automatically judges and prompts the recommended sterilization program to the operator.

[0028] In some embodiments, step 202 can further include: When the required sterilization procedures of all sterilization packages in the batch are consistent, the system directly prompts the procedure; When the required procedures of sterilization packages in the batch are inconsistent, the system determines the optimal recommended procedure according to the preset conflict resolution rules, or outputs a procedure conflict warning information.

[0029] In one specific embodiment of the present application, After completing the scanning and information analysis of the sterilization package identification code, the system enters the sterilization procedure recommendation stage. The system automatically determines and generates the recommended sterilization procedure according to the sterilization package information obtained by analysis. Specifically, the system has a built-in procedure adaptation rule library corresponding to different instrument categories, packaging materials and sterilization requirements. By comparing the parameter characteristics of each sterilization package in the batch, the most matched standard sterilization procedure for the batch is calculated. Subsequently, the system prompts the recommended sterilization procedure to the operator in a visual manner on the operation interface, for guiding the correct selection.

[0030] In some embodiments, the step further includes the following two cases: When the required sterilization procedures of all sterilization packages in the batch are consistent, the system directly prompts the procedure, and the operator can one-key confirm to enter the sterilization process; When the required procedures of sterilization packages in the batch are inconsistent, the system automatically calculates and determines the optimal recommended procedure according to the preset conflict resolution rules (for example, according to the principle of prioritizing high-risk instruments or prioritizing the longest procedure), and outputs the procedure as the final suggestion; if the conflict resolution rules cannot produce a unique result, the system outputs a "procedure conflict" warning information to prompt the operator to manually review and confirm.

[0031] Through the above step setting, the system can effectively prevent sterilization procedure selection errors caused by manual judgment errors, improve the accuracy and consistency of procedure selection, and reduce the risk of sterilization failure from the source.

[0032] Step 203, after the sterilization procedure is executed, the actual procedure identification and all key physical parameters of the sterilization process are automatically collected, and the key physical parameters include temperature, pressure, time and number of pulsating vacuum.

[0033] In some embodiments, the monitoring range of the key physical parameters further includes the BD test procedure and the leak test procedure of the sterilizer. The system collects, compares and judges the physical parameters of the procedure, and calculates the BD procedure pass rate and the leak test procedure pass rate, respectively.

[0034] In some embodiments, when the system detects that the physical parameters deviate from the preset threshold, real-time warning information is automatically generated, and the operator is prompted to review or correct in a highlighted, flashing or voice broadcast manner on the quality control display terminal.

[0035] When the sterilization procedure is completed, the system automatically acquires the actual procedure identification and all key physical parameters of the sterilization process through the data communication interface with the sterilization equipment. The key physical parameters include, but are not limited to, the temperature, pressure, time, and number of pulse vacuum of the sterilization cavity. The system automatically performs time synchronization and data integrity verification after acquisition, ensuring the authenticity and traceability of each physical parameter. The data will serve as the basis for subsequent procedure correctness comparison and parameter compliance judgment.

[0036] In some embodiments, the monitoring range of the key physical parameters is not limited to the conventional sterilization procedure, but is further extended to the BD test procedure and leak test procedure of the sterilizer. The system can automatically collect, compare, and judge the physical parameters of the above test procedures under the same acquisition logic, thereby generating the corresponding test result records. The system automatically calculates the BD procedure pass rate and leak test procedure pass rate based on historical monitoring data, and includes this data in monthly, quarterly, or annual quality control statistical analysis for evaluating the performance stability and equipment health status of the sterilizer.

[0037] In some embodiments, when the system detects that any physical parameter deviates from the preset threshold range associated with the recommended sterilization procedure, it automatically generates real-time warning information and prominently prompts on the quality control display terminal in the form of highlighted identification, flashing prompt, or voice broadcast. After receiving the warning, the operator can immediately review the relevant records or suspend the current process for correction.

[0038] Through the above step settings, the system not only realizes the automatic, non-missing collection of key physical parameters throughout the sterilization process, but also has the ability to continuously monitor and intelligently warn the performance of the equipment, thereby significantly improving the safety and controllability of sterilization quality.

[0039] Step 204, compare the actual procedure identification with the recommended sterilization procedure to generate a procedure selection correctness judgment result.

[0040] In one specific embodiment of the present application, after the system completes the acquisition of the actual procedure identification of the current sterilization process, it enters the procedure correctness comparison step. The system compares the acquired actual procedure identification with the recommended sterilization procedure generated in the previous step one by one. If the actual procedure identification is completely consistent with the recommended procedure, the system automatically generates a procedure selection correctness judgment result of "correct"; if the actual procedure identification is inconsistent with the recommended procedure, the system generates a judgment result of "error" and records this abnormal information in the data log of the current furnace.

[0041] In some embodiments, the program selection correctness judgment result can also be associated with batch information, operator information and abnormal reason for subsequent analysis and traceability. The judgment result can be displayed in real time on the quality control terminal, and used as basic data for calculating the sterilization program selection correctness rate by the statistical analysis module, thereby providing a quantitative basis for the standardization of sterilization operation.

[0042] Step 205: Compare the key physical parameters with the preset physical parameter threshold range associated with the recommended sterilization program one by one to generate a physical parameter abnormality judgment result.

[0043] In one specific embodiment of the present application, after the system completes the collection of key physical parameters, it enters the step of physical parameter comparison and abnormality judgment. Specifically, the system compares each collected key physical parameter (including temperature, pressure, time and number of pulsating vacuum) with the preset physical parameter threshold range associated with the recommended sterilization program one by one.

[0044] When a parameter value falls within the corresponding threshold range, the system marks the parameter as "normal"; when a parameter value exceeds the threshold range, the system marks the parameter as "abnormal". Based on the judgment results of each parameter, the system automatically generates the physical parameter abnormality judgment result of the current furnace batch, and records the abnormal type, parameter value and abnormal reason in the data log for subsequent traceability analysis and quality management.

[0045] In some embodiments, the system can also compare and analyze the abnormal parameters with historical data to determine whether the abnormality is an occasional event or a device performance fluctuation trend, thereby providing reference opinions and preventive maintenance suggestions for the operator.

[0046] Step 206: Real-time display of the program selection correctness judgment result and the physical parameter abnormality judgment result on the quality control display terminal.

[0047] In one specific embodiment of the present application, after the system completes the program selection correctness judgment and the physical parameter abnormality judgment, it enters the step of result visualization display. Specifically, the system transmits the program selection correctness judgment result and the physical parameter abnormality judgment result generated for the current furnace batch to the quality control display terminal in real time. The quality control display terminal can be a large monitor screen, an operation table display or a mobile terminal interface.

[0048] During the display process, the system performs visualization processing on the judgment results: For the program selection correctness result, if the judgment is "correct", the interface is displayed in normal color; if the judgment is "incorrect", the interface is displayed in high light, flashing or warning icon, and the relevant operator and furnace batch information can be labeled at the same time; For the physical parameter abnormal result, the system distinguishes the parameter values exceeding the threshold value by color or chart mark, and can provide brief prompt information in combination with the abnormal type.

[0049] Through the above display mode, the operator can immediately know the state of the program execution and the key parameters after the sterilization is completed. For the furnace with abnormality, the review, intervention or record processing can be quickly performed, so that the real-time and operability of the sterilization process monitoring are realized.

[0050] Step 207, result data, the system automatically generates a statistical analysis report of a specified period, and the report at least includes the sterilization program selection accuracy and the sterilization physical parameter qualification rate.

[0051] The statistical analysis report period includes monthly, quarterly and annually, the report is output in the form of visual chart and data table, and supports the detailed record of tracing back to any abnormal furnace.

[0052] In some embodiments, when the system generates the statistical analysis report, at least one of the following quality control indicators is automatically calculated and output: sterilization program selection accuracy, sterilization physical parameter qualification rate, BD program pass rate, leak detection program pass rate and comprehensive quality compliance rate. At the same time, the traceability and drilling down function of abnormal data are provided for locating the corresponding operator, sterilization equipment and abnormal parameter type of the abnormal furnace.

[0053] In one specific embodiment of the present application, after the system completes the collection and record of the program selection correctness judgment result and the physical parameter abnormality judgment result, it enters the statistical analysis and report generation step. The system automatically generates a statistical analysis report based on the stored historical judgment result data according to a specified statistical period (for example, monthly, quarterly or annually). The report at least includes two core indicators: sterilization program selection accuracy and sterilization physical parameter qualification rate, and is output in the form of visual chart and data table, so as to facilitate the intuitive understanding of the quality control situation by the operator or the management personnel.

[0054] In some embodiments, the statistical analysis report can also automatically calculate and output at least one of the following quality control indicators: sterilization program selection accuracy, sterilization physical parameter qualification rate, BD program pass rate, leak detection program pass rate and comprehensive quality compliance rate. The report supports the traceability and drilling down function of abnormal data, and can accurately locate the corresponding operator, sterilization equipment and abnormal parameter type of any abnormal furnace, providing data basis for subsequent training, equipment maintenance or process optimization.

[0055] Through the above implementation steps, the system can realize the closed-loop data analysis from single sterilization process monitoring to macro quality management, and significantly improve the efficiency, traceability and scientificity of the sterilization quality control work.

[0056] Please refer to Figure 2 ,Figure 2 A structure diagram of a disinfection supply center sterilization process physical parameter intelligent monitoring system provided by the application is shown.

[0057] As shown in Figure 2 An embodiment of the application provides a disinfection supply center sterilization process physical parameter intelligent monitoring system, which comprises: An identification code scanning module 301, which is used for scanning sterilization package identification codes and obtaining sterilization package information; A program recommendation engine 302, which is used for determining and outputting recommended sterilization programs based on the sterilization package information; An equipment data acquisition module 303, which is used for obtaining actual running program identification and all key physical parameters from a sterilizer; An intelligent judgment module 304, which is used for performing program correctness judgment and physical parameter abnormality judgment; A visual display module 305, which is used for centrally and real-timely displaying judgment results and alarm information on a quality control display terminal.

[0058] Specifically, the identification code scanning module 301 is used for automatically obtaining detailed information of a sterilization package, including instrument categories, packaging types, departments to which the sterilization package belongs and historical sterilization records, by scanning unique identification codes on the sterilization package before sterilization operation starts. The collected data will be transmitted to the program recommendation engine of the system, and used for generating recommended sterilization programs and subsequent monitoring and analysis.

[0059] The program recommendation engine 302 automatically calculates and outputs the most suitable recommended sterilization program based on the sterilization package information obtained by the identification code scanning module, by calling a built-in program adaptation rule library. For sterilization packages with program differences in a batch, the engine can also determine the optimal program or output program conflict warning information according to preset conflict resolution rules, to guide an operator to correctly select a program.

[0060] The equipment data acquisition module 303 automatically collects actual program identification and all key physical parameters of the sterilization process by a data communication interface with the sterilizer, and the key physical parameters include temperature, pressure, time and pulsating vacuum times. In some embodiments, the module can also collect physical parameters of a sterilizer BD test program and a leak detection program, to provide complete data for quality evaluation.

[0061] The intelligent judgment module 304 is used for performing analysis and judgment on the collected data, including: Comparing the actual program identification with the recommended program to generate a program selection correctness judgment result; Comparing the key physical parameters with preset threshold ranges one by one to generate a physical parameter abnormality judgment result; When an abnormal situation is detected, alarm information can be automatically generated, and abnormal parameters and furnace information can be recorded.

[0062] The visualization display module 305 is used to centrally and real-time display the program selection correctness judgment result, the physical parameter abnormality judgment result and the related alarm information on the quality control display terminal. The system can significantly prompt the abnormal state through color identification, highlighting, flashing or voice prompt, etc. so that the operator can immediately understand the sterilization process state and perform review or correction.

[0063] Through the cooperative work of the above modules, the system realizes the intelligent monitoring of the whole process of the sterilization process from data acquisition, program judgment to result visualization, improves the safety, standardization and management efficiency of the sterilization operation.

[0064] In some embodiments, the data statistical analysis module further includes a report engine for: Based on the historical judgment results stored in the database, the report engine automatically calculates various quality control indicators and outputs a visual report in the form of a PDF file and a dynamic chart, and supports periodic automatic generation and archiving.

[0065] The data statistical analysis module further includes a report engine for analyzing and processing the historical judgment results stored in the system database. Specifically, the report engine can automatically extract the program selection correctness judgment result, the physical parameter abnormality judgment result and the equipment test program result of each sterilization furnace from the database, and calculate various quality control indicators based on these data, such as sterilization program selection correctness rate, sterilization physical parameter qualification rate, BD program pass rate, leak detection program pass rate and comprehensive quality compliance rate.

[0066] The report engine further generates a visual report of the calculation results in the form of a PDF file and a dynamic chart, which is convenient for operators and managers to intuitively view the quality control situation. In some embodiments, the report engine can automatically generate and archive the statistical analysis report according to the preset statistical period (such as monthly, quarterly or annually), realizing long-term preservation and traceability of historical data.

[0067] Through the report engine, the system can convert the scattered judgment result data into operable management information, so that the quality control work is expanded from single monitoring to periodic trend analysis and macro management, providing reliable data support for continuous improvement and decision-making.

[0068] In some embodiments, the system further includes: The abnormal record traceability module is used to perform data backtracking analysis on the abnormal furnace marked in the report, and output detailed records containing operator information, equipment number, abnormal parameter type and abnormal time; The data interface module is used to data interface the generated statistical report and abnormal record with the hospital infection control system or quality management system, realizing the whole-hospital-level sharing and traceability of the sterilization quality control result.

[0069] The abnormal record tracing module is used for tracing analysis of data of an abnormal furnace marked in a statistical analysis report. The system can automatically retrieve historical data related to the furnace according to the number of the abnormal furnace, and output detailed records containing operator information, sterilization equipment number, abnormal parameter type and abnormal occurrence time. Through the module, the management personnel can quickly locate the abnormal cause, provide accurate data support for subsequent training, equipment maintenance or process optimization, and realize traceable management of abnormal events in the sterilization process.

[0070] The data interface module is used for data docking of the statistical analysis report and the abnormal record generated by the system with a hospital infection control system (ICS) or a quality management system (QMS). Through a standardized interface protocol, the module can realize hospital-wide sharing and traceability of sterilization quality control results, ensure consistency, traceability and long-term archiving of quality control data among multiple departments in the hospital, and provide reliable data support for hospital-level management, regulatory inspection and audit.

[0071] Through the cooperation of the above modules, the system can not only provide real-time monitoring and abnormal prompt of a single furnace, but also realize macro management and data sharing across time and departments, and improve the comprehensiveness and scientificity of sterilization quality management.

[0072] Please refer to Figure 3 , Figure 3 An embodiment of an electronic device provided by the embodiment of the present application is shown. As shown in Figure 3 The embodiment of the present application provides an electronic device 400, which comprises a memory 410, a processor 420 and a computer program 411 stored in the memory 410 and capable of running on the processor 420, and the processor 420 implements the following steps when executing the computer program 411: Before sterilization, the identification code of the sterilization package is scanned, and all sterilization package information of the batch is collected and analyzed; Based on the analyzed sterilization package information, the system automatically judges and prompts the recommended sterilization program to the operator; After the execution of the sterilization program is completed, the actual program identification and all key physical parameters of the sterilization process are automatically collected, and the key physical parameters include temperature, pressure, time and pulsating vacuum times; The actual program identification is compared with the recommended sterilization program to generate a program selection correctness judgment result; The key physical parameters are compared with the preset physical parameter threshold range associated with the recommended sterilization program one by one to generate a physical parameter abnormality judgment result; The program selection correctness judgment result and the physical parameter abnormality judgment result are displayed in real time on a quality control display terminal. Based on the judgment result data, the system automatically generates a statistical analysis report of a specified period, and the report at least includes sterilization program selection accuracy and sterilization physical parameter qualification rate.

[0073] Please refer to Figure 4 , Figure 4 An embodiment of a computer readable storage medium provided by the embodiment of the present application is shown. As shown in the figure, Figure 4 The computer readable storage medium 500 stores a computer program 411, and the computer program 411 is executed by a processor to implement the following steps: Before sterilization, the identification code of the sterilization package is scanned, and all sterilization package information of the batch is collected and analyzed; Based on the analyzed sterilization package information, the system automatically judges and prompts the recommended sterilization program to the operator; After the sterilization program is executed, the actual program identification and all key physical parameters of the sterilization process are automatically collected, and the key physical parameters include temperature, pressure, time, and pulse vacuum times; The actual program identification is compared with the recommended sterilization program to generate a program selection correctness judgment result; The key physical parameters are compared with the preset physical parameter threshold range associated with the recommended sterilization program one by one to generate a physical parameter abnormality judgment result; The program selection correctness judgment result and the physical parameter abnormality judgment result are displayed in real time on a quality control display terminal. Based on the judgment result data, the system automatically generates a statistical analysis report of a specified period, and the report at least includes sterilization program selection accuracy and sterilization physical parameter qualification rate.

[0074] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0075] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can be in the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can be in the form of a computer program product implemented on one or more computer usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer usable program code.

[0076] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flow or blocks Figure 1 one or more flow or blocks

[0077] These computer program instructions can also be stored in a computer- readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the function specified in the flowchart block or blocks. Figure 1 one or more flow or blocks Figure 1 one or more flow or blocks

[0078] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flow or blocks Figure 1 one or more flow or blocks

[0079] While the preferred embodiments of the application have been described, additional variations and modifications can be employed by those skilled in the art. Therefore, the appended claims intend to cover all such modifications and variations as fall within the true spirit and scope of the present application. Further, the appended claims can be construed to cover all alternatives falling within the equivalent range of the claims.

[0080] It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, it is intended that the present application cover modifications and variations of this application provided they come within the scope of the appended claims and their equivalents.

Claims

1. A method for intelligent monitoring of physical parameters during the sterilization process in a disinfection supply center, characterized in that, The method includes: Before sterilization, the identification code of the package to be sterilized is scanned to collect and analyze the information of all packages in the batch. Based on the sterilization package information obtained from the analysis, the system automatically determines and prompts the operator with the recommended sterilization procedure; After the sterilization procedure is completed, the actual program identifier and all key physical parameters of the sterilization process are automatically collected. The key physical parameters include temperature, pressure, time, and number of pulsed vacuum cycles. The actual program identifier is compared with the recommended sterilization program to generate a program selection correctness judgment result; The key physical parameters are compared one by one with the preset physical parameter threshold ranges associated with the recommended sterilization procedure to generate physical parameter anomaly judgment results. The results of the program selection correctness judgment and the results of the physical parameter anomaly judgment are displayed in real time on the quality control display terminal. Based on the judgment results, the system automatically generates a statistical analysis report for a specified period, which includes at least the correctness rate of sterilization program selection and the pass rate of sterilization physical parameters.

2. The intelligent monitoring method for physical parameters of the sterilization process in a disinfection supply center according to claim 1, characterized in that, The monitoring range of the key physical parameters further includes the BD test program and the leak test program of the sterilizer. The system collects, compares and judges the physical parameters of the program, and calculates the pass rate of the BD program and the pass rate of the leak test program respectively.

3. The intelligent monitoring method for physical parameters of the sterilization process in a disinfection supply center according to claim 2, characterized in that, The statistical analysis reports are available monthly, quarterly, and annually. The reports are output in the form of visual charts and data tables and support detailed records traceable to any abnormal furnace.

4. The intelligent monitoring method for physical parameters of the sterilization process in a disinfection supply center according to claim 3, characterized in that, When generating the statistical analysis report, the system automatically calculates and outputs at least one of the following quality control indicators: sterilization program selection accuracy rate, sterilization physical parameter qualification rate, BD program pass rate, leak detection program pass rate, and overall quality compliance rate.

5. The intelligent monitoring method for physical parameters of the sterilization process in a disinfection supply center according to claim 4, characterized in that, While generating the statistical analysis report, the system provides traceability and drill-down functions for abnormal data, which are used to locate the operators, sterilization equipment and abnormal parameter types corresponding to the abnormal furnace.

6. The intelligent monitoring method for physical parameters of the sterilization process in a disinfection supply center according to claim 5, characterized in that, When the system detects that the physical parameters deviate from the preset threshold, it automatically generates real-time alarm information and prompts the operator to review or correct them by highlighting, flashing or voice broadcasting on the quality control display terminal.

7. The intelligent monitoring method for physical parameters of the sterilization process in a disinfection supply center according to claim 6, characterized in that, Based on the sterilization package information obtained from the analysis, the system automatically determines and prompts the operator with a recommended sterilization procedure, including: When all sterilization packages in a batch require the same sterilization procedure, the system will directly prompt for that procedure. When the required procedures for sterilization packages within a batch are inconsistent, the system determines the optimal recommended procedure based on preset conflict resolution rules, or outputs a program conflict warning message.

8. An intelligent monitoring system for physical parameters of the sterilization process in a disinfection supply center, characterized in that, The system includes: The identification code scanning module is used to scan the identification code of the sterilization package and obtain the sterilization package information; A program recommendation engine is used to determine and output a recommended sterilization program based on the sterilization package information; The equipment data acquisition module is used to obtain the actual operating program identifier and all key physical parameters from the sterilizer; The intelligent judgment module is used to perform program correctness judgment and physical parameter anomaly judgment; The visualization module is used to centrally and in real-time display judgment results and alarm information on the quality control display terminal.

9. The intelligent monitoring system for physical parameters of the sterilization process in a disinfection supply center according to claim 8, characterized in that, The system also includes a data statistical analysis module, which further includes a reporting engine for: Based on historical judgment results stored in the database, various quality control indicators are automatically calculated and a visual report is output. The report is displayed in PDF file and dynamic chart format and supports periodic automatic generation and archiving.

10. The intelligent monitoring system for physical parameters of the sterilization process in a disinfection supply center according to claim 9, characterized in that, The system also includes: The anomaly record traceability module is used to perform data backtracking analysis on the abnormal furnaces marked in the report, and output detailed records including operator information, equipment number, abnormal parameter type and abnormal time; The data interface module is used to connect the generated statistical reports and abnormal records with the hospital infection control system or quality management system to achieve hospital-wide sharing and record-keeping of sterilization quality control results.

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