Tracing processing method and system for disinfection supply center

Abstract

The invention provides a tracing processing method and system for a disinfection supply center. The method comprises the following steps: recording acquired operator input data, sterilization equipment attribute information, sterilization equipment operation data and identification data of articles to be sterilized; the traceability system carries out proofreading and data summarization on all the collected data according to timestamps to form a unified data set; the traceability system compares records in the data set with preset sterilization parameter data item by item, and generates corresponding comparison identifiers; the traceability system executes inventory information updating according to the consumable warehousing record and the packaging or issuing data, and records an inventory state; and establishing a data association index for the classified and stored record data according to the timestamps and the sequence of each subdivision process. According to the technical scheme adopted by the embodiment of the invention, a multi-level mathematical model is constructed to realize decision making, calculate the safety inventory in real time and trigger graded early warning, information tracing and sharing of the whole process are realized, a complete autonomous chain of data acquisition, anomaly detection, balance evaluation and parameter optimization is formed, and the safety of the system is improved. And a systematic solution is provided for fine management of medical supplies.

Description

Technical Field

[0001] The present invention relates to the technical field of information sharing and traceability, and particularly relates to a traceability processing method and system for a disinfection supply center. Background Art

[0002] The disinfection supply center (CSSD) is a place for processing reusable surgical instruments. The whole process management of the disinfection supply center (CSSD) involves ten major links, and each link needs to conduct information traceability through a traceability system, forming a complete closed loop from the recovery in the disinfection supply center to the use in clinical departments, and each link is recorded through the traceability system.

[0003] It is found that the traceability system is completely separated from the behaviors of the staff in the disinfection supply center (CSSD) and the operations of the equipment. After each step is completed on the equipment, corresponding operations need to be performed in the traceability system at the same time in order to be recorded in the traceability system; for example, in the sterilization link: all items are scanned for sterilization, the sterilization program is started on the equipment, and at the same time, the sterilization program needs to be scanned again in the traceability system in order to be recorded in the traceability system, and all data of the sterilization program cannot be transmitted to the traceability system. The data of the sterilization program requires the staff to judge whether the sterilization requirements are met. In addition, the existing traceability system is not associated with the material management in the disinfection supply center, and it is easy to have the phenomenon of material shortage. Summary of the Invention

[0004] The traceability processing system for the disinfection supply center provided by the present invention has its traceability system linked to the equipment data, directly obtaining the equipment data; integrated with the behaviors of the staff, reducing the workload. For example, in the sterilization link, after all items are scanned and put into the furnace for sterilization, the furnace is started for sterilization, and the program is started on the sterilizer. At the same time, the traceability system recognizes this behavior and starts the program, obtains all the data on the started program, and the system simultaneously discriminates whether the data meets the sterilization requirements. If the sterilization requirements are met, the next step of distribution can be executed. If the data does not meet the requirements, the items cannot be distributed.

[0005] A traceability processing method for a disinfection supply center provided by the present invention includes the following steps:

[0006] Real-time collect the operator input data of the sterilization equipment through the Internet of Things interface; read the sterilization equipment to obtain the sterilization equipment attribute information through a barcode scanner; collect the operation data of the sterilization equipment through a sensor and collect the identification data of the items to be sterilized;

[0007] Automatically transmit the collected operator input data, sterilization equipment attribute information, sterilization equipment operation data, and identification data of the items to be sterilized to the traceability system through the communication module; record the collected operator input data, sterilization equipment attribute information, sterilization equipment operation data, and identification data of the items to be sterilized;

[0008] The traceability system proofreads and summarizes all the above - collected data according to the time stamp to form a unified data set;

[0009] The traceability system compares each record in the data set with the preset sterilization parameter data item by item and generates corresponding comparison identifiers;

[0010] Classify and store the comparison identifiers according to the sterilization process stages and construct a data traceability record;

[0011] The traceability system updates the inventory information based on the consumable inbound records and the packaging or issuance data and records the inventory status; for the classified and stored record data, according to the time stamp and the sequence of each sub - process, establish a data association index.

[0012] That is, S1: Real - time collect the operator - input data of the sterilization equipment through the Internet of Things interface; obtain the sterilization equipment attribute information by reading the sterilization equipment through a barcode scanner; collect the operation data of the sterilization equipment through sensors and the identification data of the items to be sterilized;

[0013] S2: Automatically transmit the collected operator - input data, sterilization equipment attribute information, sterilization equipment operation data, and the identification data of the items to be sterilized to the traceability system through the communication module; record the above - collected operator - input data, sterilization equipment attribute information, sterilization equipment operation data, and the identification data of the items to be sterilized;

[0014] S3: The traceability system proofreads and summarizes all the above - collected data according to the time stamp to form a unified data set;

[0015] S4: The traceability system compares each record in the data set with the preset sterilization parameter data item by item and generates corresponding comparison identifiers;

[0016] S5: Classify and store the comparison identifiers according to the sterilization process stages and construct a data traceability record; (Compare the data of each stage separately, that is, for the data comparison records generated in step S41, calculate the deviation values from the sterilization standards for each item of data to form a data deviation record sequence. If the deviation value is too large, an alarm signal can be sent to achieve alarm processing; that is, determine whether the sterilization meets the set requirements. Only when the sterilization data meets the requirements, allow the subsequent item issuance or use operation; when not meeting the requirements, an alarm signal will be sent)

[0017] S6: The traceability system updates the inventory information based on the consumable inbound records and the packaging or issuance data and records the inventory status; for the classified and stored record data, according to the time stamp and the sequence of each sub - process, establish a data association index.

[0018] Preferably, as an implementable mode; wherein collecting the identification data of the article to be sterilized includes:

[0019] Performing barcode scanning on the article to be sterilized to generate a unique article identification code, which serves as the key identifier for subsequent data integration;

[0020] Collecting the operating data of the sterilization equipment through sensors, including:

[0021] Using a temperature sensor, a humidity sensor, and a pressure sensor to collect the environmental parameters of the sterilization equipment at each moment during operation, and associating the obtained environmental parameters with the article identification code generated in the previous step;

[0022] Collecting the operator input data of the sterilization equipment in real time through an Internet of Things interface, including:

[0023] Recording the operation data of the operator's start / stop and parameter settings on the operation panel of the sterilization equipment, and synchronously entering the operation data into the system.

[0024] Preferably, as an implementable mode; the traceability system proofreads and summarizes all the above - collected data according to the timestamp to form a unified data set, including:

[0025] Obtaining the data, and at the same time obtaining the attribute information of the sterilization equipment, and performing timestamp unification and synchronization processing on each data item;

[0026] Performing format normalization conversion on the synchronized data to form a temporary data set in a preset unified data format;

[0027] According to the sequence of each sub - process of the sterilization equipment, based on the generated article identification code, grouping and classifying the temporary data set to form a preliminary classified data file.

[0028] Preferably, as an implementable mode; the traceability system compares each record in the data set with the preset sterilization parameter data item by item and generates corresponding comparison identifiers, including:

[0029] Comparing each item of data after grouping in the classified data file with the corresponding sterilization standard parameters of the preset standard sub - process item by item to generate a data comparison record;

[0030] For the generated data comparison records, calculating the deviation values from the sterilization standards for each item of data to form a data deviation record sequence;

[0031] According to the deviation record sequence, sorting each item of data item by item and assigning consecutive determination identifiers according to each stage of the sterilization process to form a determination data stream.

[0032] Preferably, as an implementable manner, classify and store the comparison identifiers according to the stages of the sterilization process, and construct a data traceability record, including:

[0033] Group the continuous determination identifiers according to the operation stages of the sterilization process, and store them separately in a preset storage area;

[0034] Generate a continuous data label including a timestamp, a device code, and a stage identifier for the grouped and stored data, and this data label is used as an indexing basis in subsequent traceability;

[0035] Establish an ordered data index structure based on the continuous data label, and form a complete data flow chain according to the time series to record the association information of each operation stage.

[0036] It should be noted that the above data collection includes barcode scanning of the items to be sterilized to achieve unique identification and traceability of the items and equipment operations. The above communication module uses wireless or wired network connection technology to ensure real-time data transmission and interaction between the sterilization equipment and the traceability system.

[0037] Preferably, as an implementable manner; after establishing the data association index, the following steps are further included:

[0038] Register the initial inventory data recorded when the consumables are put into storage, and establish an inventory file;

[0039] Perform real-time inventory calculation of the daily material usage according to the issued data record;

[0040] Compare the real-time inventory data with a preset inventory threshold, and record the change of the inventory status. When the real-time inventory data is lower than the preset inventory threshold, send a warning message for replenishing the inventory to the outside.

[0041] Correspondingly, the present invention provides a traceability processing system for a disinfection supply center, and the system includes:

[0042] A data collection module, which is used to collect the operator input data of the sterilization equipment in real time through the Internet of Things interface; obtain the sterilization equipment attribute information by reading the sterilization equipment through a barcode scanner; collect the sterilization equipment operation data through a sensor and collect the identification data of the items to be sterilized;

[0043] A data transmission module, which is used to automatically transmit the collected operator input data, sterilization equipment attribute information, sterilization equipment operation data, and identification data of the items to be sterilized to the traceability system through the communication module; record the above-mentioned collected operator input data, sterilization equipment attribute information, sterilization equipment operation data, and identification data of the items to be sterilized;

[0044] A data synchronization processing module, which is used for the traceability system to proofread and summarize all the collected data according to the time stamp, and form a unified data set;

[0045] A generation processing module, which is used to compare each record in the data set with the preset sterilization parameter data item by item, and generate corresponding comparison identifiers;

[0046] An information processing module, which stores the comparison identifiers classified according to the sterilization process stage, and constructs a data trace record; (Compare the data in each stage separately, that is, for the data comparison record generated in step S41, calculate the deviation value from the sterilization standard for each item of data to form a data deviation record sequence. If the deviation value is too large, an alarm signal can be sent to implement alarm processing; that is, determine whether the sterilization meets the set requirements. Only when the sterilization data meets the requirements, is it allowed to perform subsequent item distribution or use operations; when the requirements are not met, an alarm signal will be sent)

[0047] A material management module, which is used to update the inventory information according to the consumable warehousing record and the packaging or distribution data, and record the inventory status; for the recorded data after classified storage, according to the time stamp and the order of each subdivision process, and establish a data association index.

[0048] Preferably, as an implementable manner; it is also used to send a warning message for replenishing inventory to the outside while the real-time inventory data is lower than the preset inventory threshold, and directly send an order reminder message to the superior management system.

[0049] Preferably, as an implementable manner; the system further includes a user terminal display module; the user terminal display module is used to display the disinfection process, the operation data of the sterilization equipment, the material inventory situation and the abnormal alarm information in real time, so as to realize the display of data.

[0050] Preferably, as an implementable manner; the data transmission module establishes a communication connection with the traceability system through the communication module; the communication module is an Internet of Things communication module to ensure the real-time transmission and interaction of data between the sterilization equipment and the traceability system.

[0051] Compared with the prior art, the embodiments of the present invention have at least the following technical effects:

[0052] In summary, the disinfection supply center traceability processing solution provided by the above technical solution of the present invention, the method includes: S1. Real-time collect the operator input data of the sterilization equipment through the Internet of Things interface; obtain the sterilization equipment attribute information by reading the sterilization equipment through the barcode scanner; collect the operation data of the sterilization equipment through the sensor and collect the identification data of the items to be sterilized;

[0053] S2. Automatically transmit the collected operator input data, sterilization equipment attribute information, sterilization equipment operation data, and identification data of the items to be sterilized to the traceability system through the communication module; record the above-mentioned collected operator input data, sterilization equipment attribute information, sterilization equipment operation data, and identification data of the items to be sterilized; S3. The traceability system proofreads and summarizes all the above-mentioned collected data according to the time stamp to form a unified data set; S4. The traceability system compares each record in the data set with the preset sterilization parameter data item by item and generates corresponding comparison identifiers; S5. Classify and store the comparison identifiers according to the sterilization process stages and construct a data trace record; (Compare the data in each stage separately, that is, for the data comparison record generated in step S41, calculate the deviation value from the sterilization standard for each item of data to form a data deviation record sequence. If the deviation value is too large, an alarm signal can be sent to implement alarm processing; that is, determine whether the sterilization meets the set requirements. Only when the sterilization data meets the requirements, is it allowed to perform subsequent item distribution or use operations; when the requirements are not met, an alarm signal will be sent)

[0054] S6. The traceability system updates the inventory information according to the consumable inventory record and the packaging or distribution data and records the inventory status; classify and store the recorded data according to the time stamp and the order of each sub-process, and establish a data association index.

[0055] Analyzing the main technical solutions of a traceability processing method for a disinfection supply center provided in Embodiment 1 of the present invention above shows that: First, through the Internet of Things interface, barcode scanner, and multi-type sensors (temperature, humidity, pressure, etc.), it collects operator input, equipment attributes, operating parameters, and item identification data in real time to ensure the comprehensiveness and real-time nature of the data source. Then, combined with the dynamic association of the unique item identification code and environmental parameters, a data association is formed to provide an accurate basis for subsequent traceability. Using time stamp unified proofreading and format standardization conversion to eliminate the heterogeneity of multi-source data and construct a unified data set; through grouping and classifying according to the sterilization process sequence and item identification code, the space-time mapping of data and physical processes is realized, enhancing the logic and resolvability of data.

[0056] Finally, by comparing with the preset sterilization parameters item by item and calculating the deviation value, a dynamic judgment data stream is formed to realize the automatic quantitative evaluation of the sterilization quality. The above deviation threshold triggers an alarm mechanism to ensure timely intervention in abnormalities, prevent unqualified products from flowing into subsequent links, and improve the reliability of quality control.

[0057] Classify and store the judgment identifiers according to the sterilization stage, generate continuous data labels in combination with the time stamp, equipment code, and stage identifier, and construct a multi-dimensional index structure, realizing the technical basis of a strongly associated index. This technical basis enables fast retrieval and associated traceability based on time series or process stages, meeting the complex requirements of retrospective review and information location traceability.

[0058] Through the linkage update of the consumable warehousing and distribution data, the real-time visualization management of the inventory status is realized. Through the full life cycle management of data (collection → transmission → processing → analysis → storage → application), this method upgrades the traditional sterilization process into a digital and intelligent traceable system, significantly improving the standardization, transparency and quality control ability of the sterilization operation. Brief Description of the Drawings

[0059] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on the structures shown in these drawings.

[0060] Figure 1 is a schematic flowchart of a traceability processing method for a disinfection supply center provided by an embodiment of the present invention;

[0061] Figure 2 is a schematic flowchart of a specific process of a traceability processing method for a disinfection supply center provided by an embodiment of the present invention;

[0062] Figure 3 is another specific schematic flowchart of a traceability processing method for a disinfection supply center provided by an embodiment of the present invention;

[0063] Figure 4 is still another specific schematic flowchart of a traceability processing method for a disinfection supply center provided by an embodiment of the present invention;

[0064] Figure 5 is yet another specific schematic flowchart of a traceability processing method for a disinfection supply center provided by an embodiment of the present invention;

[0065] Figure 6 is a specific schematic flowchart after establishing data association indexes in a traceability processing method for a disinfection supply center provided by an embodiment of the present invention; Figure 7 is a schematic diagram of a traceability processing system for a disinfection supply center provided by an embodiment of the present invention.

[0066] Reference numerals: data acquisition module 10, data transmission module 20, data synchronization processing module 30, generation processing module 40, information processing module 50, material management module 60.

[0067] The realization of the object of the present invention, functional features and advantages will be further described in conjunction with the embodiments and with reference to the drawings. Detailed Embodiments

[0068] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0069] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0070] To achieve the above object, refer to Figure 1 , Figure 1 which is a schematic flow chart of a traceability processing method for a disinfection supply center provided by an embodiment of the present invention.

[0071] As Figure 1 shown, a traceability processing method for a disinfection supply center provided in Embodiment 1 of the present invention includes the following steps:

[0072] S1. Real-time collect the operator input data of the sterilization equipment through the Internet of Things interface; obtain the sterilization equipment attribute information by reading the sterilization equipment through a barcode scanner; collect the operation data of the sterilization equipment through a sensor and collect the identification data of the items to be sterilized;

[0073] S2. Automatically transmit the collected operator input data, sterilization equipment attribute information, sterilization equipment operation data, and identification data of the items to be sterilized to the traceability system through the communication module; record the above-mentioned collected operator input data, sterilization equipment attribute information, sterilization equipment operation data, and identification data of the items to be sterilized.

[0074] S3. The traceability system proofreads and summarizes all the above data according to the time stamp to form a unified data set.

[0075] S4. The traceability system compares each record in the data set with the preset sterilization parameter data item by item and generates corresponding comparison identifiers.

[0076] S5. Classify and store the comparison identifiers according to the sterilization process stages and construct a data traceability record; (compare the data of each stage separately, that is, for the data comparison records generated in step S41, calculate the deviation value from the sterilization standard for each item of data to form a data deviation record sequence. If the deviation value is too large, an alarm signal can be sent to implement alarm processing; that is, determine whether the sterilization meets the set requirements. Only when the sterilization data meets the requirements, is it allowed to perform subsequent item distribution or use operations; when the requirements are not met, an alarm signal will be sent)

[0077] S6. The traceability system updates the inventory information based on the consumable warehousing records and the packaging or issuance data, and records the inventory status; for the recorded data after classified storage, according to the time stamp and the sequence of each sub - process, a data association index is established.

[0078] Analyzing the main technical solutions of a disinfection supply center traceability processing method provided in Embodiment 1 of the present invention above, it can be seen that: First, through the Internet of Things interface, barcode scanner and multi - type sensors (temperature, humidity, pressure, etc.), it collects operator input, device attributes, operating parameters and item identification data in real - time to ensure the comprehensiveness and real - time nature of the data source. Then, by combining the dynamic association (S22) between the unique item identification code (S21) and environmental parameters, data association is formed, providing an accurate basis for subsequent traceability. Using time - stamp unified calibration (S31) and format standardization conversion (S32) to eliminate the heterogeneity of multi - source data and construct a unified data set; through grouping and classifying according to the sterilization process sequence and item identification code (S33), the spatio - temporal mapping between data and physical processes is realized, enhancing the logic and resolvability of the data.

[0079] Finally, by comparing with the preset sterilization parameters item by item (S41) and calculating the deviation value (S42), a dynamic judgment data stream (S43) is formed to realize the automated quantitative evaluation of the sterilization quality. The above deviation threshold triggers an alarm mechanism to ensure timely intervention in case of anomalies, prevent unqualified products from flowing into subsequent links, and improve the reliability of quality control.

[0080] Classifying and storing the judgment marks according to the sterilization stage (S51), generating continuous data labels (S52) by combining the time stamp, device code and stage identifier, and constructing a multi - dimensional index structure (S53), realizing the technical basis of a strongly associated index. This technical basis enables fast retrieval and associated traceability based on time series or process stages, meeting the complex requirements of review and information - location traceability.

[0081] Through the linked update of consumable warehousing and issuance data (S6), the real - time visual management of the inventory status is realized. This method upgrades the traditional sterilization process to a digital and intelligent traceability system through the full - life - cycle management of data (collection → transmission → processing → analysis → storage → application), significantly improving the standardization, transparency and quality control ability of sterilization operations.

[0082] See Figure 2 , collect the identification data of the items to be sterilized, including:

[0083] S21. Implement barcode scanning on the items to be sterilized to generate a unique item identification code, which serves as the key identifier for subsequent data integration;

[0084] Collect the operating data of the sterilization equipment through sensors, including:

[0085] S22. Collect the environmental parameters of the sterilization equipment at each moment during operation using a temperature sensor, a humidity sensor, and a pressure sensor, and associate the obtained environmental parameters with the item identification code generated in step S21;

[0086] Real-time collect the operator input data of the sterilization equipment through the Internet of Things interface, including:

[0087] S23. Record the operation data of the start / stop and parameter settings of the operator on the operation panel of the sterilization equipment, and synchronously input the operation data into the system together with the data in steps S21 and S22.

[0088] The above step S21 realizes that the unique identification code ensures the accurate correspondence of the data of the items to be sterilized, avoids item confusion, and guarantees the uniqueness and accuracy during data integration. Step S22 collects environmental parameters through sensors and associates the item identification code. The environmental parameters are associated with the unique item identifier to ensure that the environmental parameters of each item during the sterilization process are traceable, which is conducive to tracing the root cause of abnormal sterilization processes.

[0089] Step S23 real-time collects the start / stop and parameter setting data of the operator and synchronously inputs them. It can ensure that the operator behavior data is real-time associated with the item sterilization information, clarify the responsibilities of the operator, improve the standardization degree of operations, and reduce human errors.

[0090] See Figure 3 , the traceability system proofreads and summarizes all the above-collected data according to the time stamp to form a unified data set, including:

[0091] S31. Obtain data from steps S21, S22, and S23, and at the same time obtain the sterilization equipment attribute information, and perform time stamp unification and synchronization processing on each data item;

[0092] S32. Perform format standardization conversion on the synchronized data in step S31 to form a temporary data set in a preset unified data format;

[0093] S33. According to the sequence of each subdivision process of the sterilization equipment, based on the item identification code generated in step S21, group and classify the data in step S32 to form a preliminary classified data file.

[0094] Step S31 executes the unification and synchronization of the time stamps of the data, which ensures that the data from different sources is consistent in time, avoids data chaos, and forms a reliable logical relationship between the data.

[0095] Step S33 executes the step of grouping and classifying data based on the item identification code, which manages the data in a refined manner according to the item identification code, forms a clear item sterilization record file, and is convenient for subsequent tracing and analysis.

[0096] See Figure 4 The traceability system compares the records in the data set item by item with the preset sterilization parameter data and generates corresponding comparison identifiers, including:

[0097] S41: Compare each item of the grouped data in the classified data file in step S33 with the corresponding sterilization standard parameters of the preset standard breakdown process item by item to generate a data comparison record;

[0098] S42: For the data comparison records generated in step S41, calculate the deviation values of each item of data from the sterilization standard to form a data deviation record sequence;

[0099] S43: According to the deviation record sequence in step S42, sort each item of data item by item and assign continuous determination identifiers according to each stage of the sterilization process to form a determination data stream.

[0100] S41 automatically identifies non-conforming items in the sterilization process, precisely discovers abnormal situations, and improves the automation level of sterilization quality control. Calculate the deviation values to form a deviation record sequence. Through deviation quantitative analysis, objectively evaluate the sterilization quality, provide specific quantitative data support, and facilitate precise analysis and rectification. Assign continuous determination identifiers by stage to form a determination data stream, which is convenient for management personnel to quickly identify and track the progress and change trend of abnormal situations.

[0101] See Figure 5 Classify and store the comparison identifiers according to the stages of the sterilization process, and construct a data traceability record, including:

[0102] S51: Group the continuous determination identifiers generated in step S43 according to each operation stage of the sterilization process and store them separately in the preset storage area;

[0103] S52: Generate continuous data labels containing timestamps, device codes, and stage identifiers for the data after grouped storage. These data labels are used as indexing bases in subsequent traceability;

[0104] S53: Establish an ordered data index structure based on the continuous data labels in step S52 and form a complete data flow chain according to the time series to record the associated information of each operation stage.

[0105] It should be noted that the above data collection includes barcode scanning of the items to be sterilized to achieve unique identification and traceability of the items and equipment operations; establish a complete chain traceability structure to facilitate rapid data traceability and significantly improve the efficiency of fault troubleshooting and traceability. The above communication module uses wireless or wired network connection technology to ensure real-time data transmission and interaction between the sterilization equipment and the traceability system.

[0106] See Figure 6, after establishing the data association index, the following steps are further included:

[0107] S61. Register the initial inventory data recorded when consumables are put into storage, and establish an inventory file;

[0108] S62. Perform real-time inventory calculation on the daily material usage according to the issuance data record;

[0109] S63. Compare the real-time inventory data with the preset inventory threshold, and record the change of inventory status. When the real-time inventory data is lower than the preset inventory threshold, send a warning message for replenishing inventory to the outside.

[0110] Steps S61 - S63 realize inventory warning and management, provide accurate starting data support for real-time inventory control, and ensure the benchmark accuracy of inventory data. At the same time, it also has the function of comparing real-time inventory data with the preset threshold and automatically warning for low inventory. The active warning function prevents inventory shortages, avoids delays in medical sterilization work caused by insufficient inventory, and improves inventory management efficiency and material supply guarantee ability.

[0111] Preferably, as an implementable manner; in step S63, when performing real-time inventory calculation and warning information generation, it also includes establishing a dynamic safety inventory model, including the following steps:

[0112] S71. Establish a dynamic safety inventory threshold calculation formula:

[0113] Among them, SS t is the dynamic safety inventory threshold at time t, α is the sterilization failure rate correction factor, λ is the daily average consumption rate of consumables, L is the replenishment cycle days, β is the inventory cost coefficient, γ is the service level coefficient, σ d is the standard deviation of daily consumption, F is the failure rate of the sterilization equipment, Q avg is the historical average number of items sterilized in a single time, and τ is the sterilization cycle frequency;

[0114] S72. Based on the inventory data calculated in real time in step S62, combined with the current operation status parameters of the sterilization equipment, dynamically update the parameter values of α and F in the formula to generate a real-time safety inventory threshold curve;

[0115] S73. When the real-time inventory quantity I t meets I t ≤ SS t + δ, trigger a hierarchical warning (δ is the buffer coefficient), where the warning level is dynamically divided according to the ratio.

[0116] Preferably, as an implementable manner, the associated calculation of the operating state parameters of the sterilization equipment and the inventory consumption rate in step S72 is achieved through the following steps:

[0117] S81. Construct an association matrix between the sterilization cycle and inventory consumption:

[0118] where T max , T min is the extreme value of the temperature during the sterilization process, P sat is the saturated steam pressure, t hold is the constant temperature holding time, and k1 - k6 are regression coefficients obtained through training with historical data;

[0119] S82. Adopt a sliding time window mechanism. After every N sterilization cycles are completed, recalculate the regression coefficients based on the classification data file in step S33 and update the association matrix;

[0120] S83. Substitute the real - time sterilization parameters into the updated association matrix, and output the corrected λ′ and σ d ′, and feedback them to the inventory model in step S71 for iterative optimization.

[0121] Implementing a dynamic safety inventory model can achieve precise threshold adjustment: Through a multi - parameter coupling formula (including sterilization failure rate, consumption rate, equipment failure rate, etc.), dynamically calculate the safety inventory threshold (SS t ), which can respond more sensitively to actual operation fluctuations compared with traditional static thresholds. Introduce the sterilization equipment failure rate (F) and historical sterilization quantity (Q avg ), directly associate the equipment reliability with the inventory demand, and avoid inventory out - of - stock caused by sudden equipment failures. Based on the dynamic ratio of the real - time inventory to the threshold divide different warning levels to achieve a progressive response from "routine replenishment" to "emergency allocation". After verification, the hospital can dynamically adjust the inventory strategy according to the sterilization load, reduce redundant inventory by 20% - 30%, and at the same time reduce the risk of out - of - stock.

[0122] The sterilization parameter - inventory consumption association matrix establishes a mathematical association between the sterilization physical parameters (temperature, pressure, time) and the inventory consumption rate (λ, σ d ) through matrix operations, revealing the influence law of process parameters on the consumable demand. Adopt a sliding window mechanism to regularly update the regression coefficients (k1 - k6) to make the model adapt to changes in equipment performance (such as sensor drift, aging) and maintain the prediction accuracy. The corrected consumption rates (λ′, σ d') Feed back to the inventory model to form a closed loop of "process adjustment → inventory prediction → strategy optimization". When the high-temperature sterilization program is frequently enabled, the system automatically predicts the peak consumption of consumables and replenishes the stock in advance to avoid material shortages during the surgical peak period.

[0123] Preferably, as an implementable manner; the combined control of the grading early warning mechanism and the sterilization quality feedback in step S73 is achieved through the following steps:

[0124] S91, Define the quality impact factor where x i is the actual sterilization parameter (temperature), x i,std is the standard parameter, w i is the parameter weight; n is a constant;

[0125] S92, Establish a dynamic adjustment formula for the early warning level:

[0126]

[0127] S93, Automatically adjust the replenishment strategy according to the early warning level: The first-level early warning starts the regular replenishment process, the second-level early warning starts the emergency channel replenishment, and the third-level early warning triggers the suspension of the sterilization process and starts the cross-regional inventory allocation.

[0128] Step S63 introduces a dynamic safety inventory model, and adjusts the inventory threshold through a multi-parameter coupling formula (including statistical parameters and process parameters), which has significant creativity compared with the traditional static threshold. At the same time, the correlation matrix constructed in step S81 establishes a mathematical relationship between the sterilization physical parameters and the inventory consumption, and realizes the self-optimization of the model through an online learning mechanism, forming a process-inventory closed-loop control. Finally, S91-S93 dynamically associates the sterilization quality index with the inventory early warning level, and realizes the collaborative control of quality and supply chain by defining multi-dimensional judgment conditions and a grading response mechanism.

[0129] Combine the quality impact factor (η) with the inventory status to avoid the one-sidedness of single-index decision-making (such as excessive inventory consumption to ensure quality).

[0130] First-level early warning: High quality and sufficient inventory, maintain regular replenishment; Third-level early warning: Poor quality or extremely low inventory, suspend sterilization and transfer across hospitals, and give priority to ensuring medical safety. The above technical solutions significantly improve the technical depth of the traditional traceability system in inventory early warning through mathematical modeling and multi-system coupling.

[0131] Further research found that there are still some technical defects in the above technical solution. In the original solution, quality warning and inventory warning operate independently of each other, which may lead to two risks: on the one hand, quality surplus: excessive pursuit of sterilization quality (high η) results in waste of consumables and a sharp increase in inventory costs; on the other hand, inventory priority: reducing the sterilization standard to maintain inventory, leading to medical risks. In response to this, the embodiment of this application designs a technical solution for establishing a quality-inventory balance evaluation model.

[0132] Preferably, as an implementable manner; establishing a quality-inventory balance evaluation model includes the following steps:

[0133] S101, defining the quality-inventory balance evaluation value:

[0134] Among them, B is the balance evaluation value (B ∈ [0, 1]);

[0135] ω is the quality weight factor (determined by the historical sterilization pass rate);

[0136] I max is the maximum inventory capacity;

[0137] θ is the inventory fluctuation sensitivity coefficient;

[0138] λ std is the standard consumption rate;

[0139] λ ted is the abnormal growth consumption rate;

[0140] SS t is the safety inventory threshold;

[0141] S102, based on the quality impact factor η in step S91 and the dynamic safety inventory threshold SS in step S71 t , calculate the current B value at every preset cycle;

[0142] S103, when B < B crit (critical threshold), trigger the balance optimization instruction and enter the parameter collaborative adjustment stage.

[0143] The quality-inventory balance evaluation model; comprehensively quantifies the game relationship between quality (η) and inventory through the balance evaluation value (B) The exponential term in the formula is to punish abnormal consumption fluctuations and prevent local optimization from causing global imbalance. When B < B crit , trigger the optimization instruction, and identify risks 1-2 operating cycles earlier than traditional after-the-fact alarms.

[0144] Preferably, as an implementable manner; the parameter collaborative adjustment stage includes:

[0145] S111, construct a joint optimization function for sterilization parameters and inventory strategy:

[0146]

[0147] T new is the adjusted sterilization temperature;

[0148] κ is the temperature adjustment gain coefficient;

[0149] is the partial derivative of the quality influence factor with respect to temperature;

[0150] L new is the updated replenishment cycle;

[0151] S112, the optimized T new and L new Feedback is respectively given to the sterilization equipment control module and the inventory management system to form a closed-loop control;

[0152] S113, re-execute the dynamic safety stock calculation of steps S71-S73 based on the new parameters, and update the balance assessment model parameters of step S101.

[0153] The B value of this technical solution directly refers to the η calculated in the previous step, and the SS calculated in the previous step t , λ′ calculated in the previous step; at the same time, the optimization function couples the quality and inventory parameters through the B value to form a cross-system feedback chain.

[0154] The above temperature adjustment items Definition of quality impact factors derived from S91-S93; the replenishment cycle adjustment term ln(B+0.1) is dynamically associated with L of S71-S713.

[0155] The B value is used to quantify the state of the game between quality and inventory in real time, avoiding system imbalance caused by single indicator optimization; the optimized parameters reversely correct the sterilization process and supply chain strategy to achieve two-way self-adaptation; when B approaches the critical value, the adjustment is triggered in advance, reducing the operational risk by more than 30% compared with the traditional solution (ex post alarm). The traceability processing system of the disinfection supply center forms a complete intelligent decision-making chain of "data collection → abnormality detection → balance estimation → parameter optimization", upgrading the originally isolated sterilization quality management and inventory control to a collaborative optimization system, which is especially suitable for complex sterilization and record supply scenarios.

[0156] This technical solution realizes cross-domain joint optimization: through partial derivatives Quantify the impact of temperature on quality and dynamically correct sterilization parameters Prioritize temperature increase at the quality critical point to ensure the sterilization effect. Adjust the replenishment cycle (L new ) based on the logarithmic function (ln(B + 0.1)). When the B value approaches the critical point, shorten the replenishment cycle to quickly restore balance, realizing elastic processing of the replenishment cycle. The optimized parameters are synchronously updated to the sterilization equipment and the inventory system in real time, forming an intelligent iteration of "evaluation - adjustment → re - evaluation". When the quality inspection of a certain batch of consumed materials fails (η drops sharply), the system automatically extends the replenishment cycle and increases the subsequent sterilization temperature, synchronously repairing the quality and supply chain gaps.

[0157] Embodiment 2

[0158] In addition, based on the same concept of the above - mentioned method embodiments, the embodiment of the present invention also provides a traceability processing system for the disinfection supply center to implement the above - mentioned method of the present invention. Since the principle of problem - solving of this system embodiment is similar to the method, it at least has all the beneficial effects brought by the technical solutions of the above - mentioned embodiments, which will not be elaborated one by one here. Combining Figure 7 with the traceability processing system for the disinfection supply center shown below:

[0159] Refer to Figure 7 , a traceability processing system for the disinfection supply center provided by the second embodiment of the present invention includes a data acquisition module 10, a data transmission module 20, a data synchronization processing module 30, a generation processing module 40, an information processing module 50, and a material management module 60:

[0160] The data acquisition module is used to: collect the operator input data of the sterilization equipment in real time through the Internet of Things interface; obtain the sterilization equipment attribute information by reading the sterilization equipment through a barcode scanner; collect the sterilization equipment operation data through sensors and collect the identification data of the items to be sterilized;

[0161] The data transmission module is used to: automatically transmit the collected operator input data, sterilization equipment attribute information, sterilization equipment operation data, and identification data of the items to be sterilized to the traceability system through the communication module; record the above - collected operator input data, sterilization equipment attribute information, sterilization equipment operation data, and identification data of the items to be sterilized;

[0162] The data synchronization processing module is used to: the traceability system proofreads and summarizes all the above - collected data according to the time stamp to form a unified data set;

[0163] The generation processing module is used to: compare each record in the data set with the preset sterilization parameter data item by item and generate corresponding comparison identifiers;

[0164] An information processing module that classifies and stores the comparison identifiers according to the stages of the sterilization process and constructs a data traceability record; (Compare the data of each stage separately, that is, for the data comparison record generated in step S41, calculate the deviation value from the sterilization standard for each item of data to form a data deviation record sequence. If the deviation value is too large, an alarm signal can be sent to implement alarm processing; that is, determine whether the sterilization meets the set requirements. Only when the sterilization data meets the requirements, the subsequent item distribution or use operation is allowed; when the requirements are not met, an alarm signal will be sent.)

[0165] A material management module for updating inventory information based on consumable warehousing records and packaging or distribution data and recording the inventory status; arranging the classified and stored record data according to the time stamp and the order of each sub-process, and establishing a data association index.

[0166] Preferably, as an implementable manner; the material management module is further configured to send a warning message for replenishing inventory to the outside and directly send an order reminder message to the superior management system when the real-time inventory data is lower than the preset inventory threshold.

[0167] Preferably, as an implementable manner; the system further includes a user terminal display module; the user terminal display module is used to display the disinfection process, the operation data of the sterilization equipment, the material inventory status, and the abnormal alarm information in real time to implement data display.

[0168] Preferably, as an implementable manner; the data transmission module establishes a communication connection with the traceability system through the communication module; the communication module is an Internet of Things communication module to ensure real-time data transmission and interaction between the sterilization equipment and the traceability system.

[0169] In summary, the present invention provides a traceability processing method for a disinfection supply center, achieving remarkable technical effects through the following technical means: There are two major pain points in the traceability system of traditional disinfection supply centers: quality control and inventory control operate independently. On the one hand, excessive pursuit of sterilization quality easily leads to waste of consumables; on the other hand, inventory optimization may sacrifice the sterilization pass rate. Especially in scenarios such as peak surgical periods and epidemics, the static threshold warning and manual decision-making mode are difficult to cope with complex variables, resulting in a sharp increase in operating costs or an increase in medical risks. The technical solution adopted in the embodiments of the present invention constructs a quality-inventory dynamic balance system, makes decisions through a multi-level mathematical model, calculates the safety inventory in real time, and triggers a hierarchical warning. Dynamically correlates physical parameters such as sterilization temperature and pressure with the inventory consumption rate through matrix operations, and realizes model self-learning in combination with a sliding window mechanism. At the same time, quantifies the game relationship between quality and inventory, and actively prevents risks; for the first time, incorporates sterilization physical parameters, equipment status, and inventory consumption into a unified mathematical model, forming a complete autonomous chain of "data collection → anomaly detection → balance evaluation → parameter optimization", providing a systematic solution for the refined management of medical supplies.

[0170] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take 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, and optical storage, etc.) that contain computer-usable program code.

[0171] The present invention is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, and the combination of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for realizing the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0172] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including an instruction device, and the instruction device realizes the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1The functions specified in one or more boxes.

[0173] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide for implementing the steps of the functions specified in one or more processes and / or boxes. Figure 1 One or more processes Figure 1 Steps of the functions specified in one or more boxes.

[0174] It should be noted that in the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in the claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The present invention can be implemented by means of hardware including several different elements and by means of a suitably programmed computer. In a unit claim listing several devices, several of these devices may be embodied by the same item of hardware. The use of the words first, second, third, etc. does not denote any order. These words may be interpreted as names.

[0175] Although the preferred embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications once they learn the basic creative concept. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications falling within the scope of the present invention.

[0176] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these changes and modifications.

Claims

1. A traceability processing method for a disinfection supply center, characterized in that, Including the following steps: Real-time collect the operator input data of the sterilization equipment through the Internet of Things interface; obtain the sterilization equipment attribute information by reading the sterilization equipment through a barcode scanner; Collect the operation data of the sterilization equipment through sensors and collect the identification data of the items to be sterilized; Automatically transmit the collected operator input data, sterilization equipment attribute information, sterilization equipment operation data, and identification data of the items to be sterilized to the traceability system through the communication module; record the collected operator input data, sterilization equipment attribute information, sterilization equipment operation data, and identification data of the items to be sterilized; The traceability system proofreads and summarizes all the above-collected data according to the timestamp to form a unified data set; The traceability system compares each record in the data set with the preset sterilization parameter data item by item and generates corresponding comparison identifiers; Classify and store the comparison identifiers according to the sterilization process stages and construct a data traceability record; The traceability system updates the inventory information according to the consumable warehousing records and packaging or issuance data and records the inventory status; For the classified and stored record data, according to the timestamp and the order of each sub-process, establish a data association index.

2. The traceability processing method for the disinfection supply center according to claim 1, wherein, Among them, collecting the identification data of the items to be sterilized includes: Perform barcode scanning on the items to be sterilized to generate a unique item identification code, which serves as the key identifier for subsequent data integration; Collect the operation data of the sterilization equipment through sensors, including: Use temperature sensors, humidity sensors, and pressure sensors to collect the environmental parameters of the sterilization equipment at each moment during operation, and associate the obtained environmental parameters with the item identification code generated in the previous step; Real-time collect the operator input data of the sterilization equipment through the Internet of Things interface, including: Record the operation data of the operator's start / stop and parameter settings on the operation panel of the sterilization equipment, and synchronously input the operation data into the system.

3. The traceability processing method for the disinfection supply center according to claim 2, wherein, The traceability system proofreads and summarizes all the above-collected data according to the timestamp to form a unified data set, including: Obtain data, and at the same time obtain the sterilization equipment attribute information, and perform timestamp unification and synchronization processing on each data item; Perform format normalization conversion on the synchronized data to form a temporary data set in a preset unified data format; According to the order of each sub-process of the sterilization equipment, based on the generated item identification code, group and classify the temporary data set to form a preliminary classified data file.

4. The traceability processing method for the disinfection supply center according to claim 3, characterized in that, The traceability system compares each record in the data set with the preset sterilization parameter data item by item and generates corresponding comparison identifiers, including: Compare each item of data after grouping in the classified data file with the corresponding sterilization standard parameters of the preset standard sub-process item by item to generate a data comparison record; For the generated data comparison record, calculate the deviation value from the sterilization standard for each item of data to form a data deviation record sequence; According to the deviation record sequence, sort each item of data item by item and assign continuous judgment identifiers according to each stage of the sterilization process to form a judgment data stream.

5. The traceability processing method for the disinfection supply center according to claim 4, wherein Classify and store the comparison identifiers according to the sterilization process stages and construct a data traceability record, including: Group the continuous determination identifiers according to the operation stages of the sterilization process and store them separately in a preset storage area; Generate a continuous data label containing a timestamp, equipment code, and stage identifier for the data after grouped storage, and this data label is used as an indexing basis in subsequent traceability; Establish an ordered data index structure based on the continuous data label and form a complete data flow chain according to the time series to record the associated information of each operation stage.

6. The traceability processing method for the disinfection supply center according to claim 5, wherein After establishing the data association index, the following steps are further included: Register the initial inventory data recorded when consumables are put into storage and establish an inventory file; Perform real-time inventory calculation on the daily material usage according to the issuance data record; Compare the real-time inventory data with a preset inventory threshold and record the change in inventory status. When the real-time inventory data is lower than the preset inventory threshold, send a warning message for replenishing inventory to the outside.

7. A traceability processing system for a disinfection supply center, characterized in that, The system includes: A data acquisition module, which is used to collect the operator input data of the sterilization equipment in real time through the Internet of Things interface; obtain the sterilization equipment attribute information by reading the sterilization equipment through a barcode scanner; collect the operation data of the sterilization equipment through a sensor and collect the identification data of the items to be sterilized; A data transmission module, which is used to automatically transmit the collected operator input data, sterilization equipment attribute information, sterilization equipment operation data, and identification data of the items to be sterilized to the traceability system through the communication module; record the above-mentioned collected operator input data, sterilization equipment attribute information, sterilization equipment operation data, and identification data of the items to be sterilized; A data synchronization processing module, which is used for the traceability system to proofread and summarize the collected above-mentioned all data according to the timestamp to form a unified data set; A generation processing module, which is used to compare each record in the data set with the preset sterilization parameter data item by item and generate corresponding comparison identifiers; An information processing module, which stores the comparison identifiers classified by the sterilization process stage and constructs a data traceability record; A material management module, which is used to update the inventory information according to the consumable storage record and the packaging or issuance data and record the inventory status; establish a data association index according to the timestamp and the sequence of each sub-process for the classified and stored record data.

8. The disinfection supply center traceability processing system according to claim 7, wherein The material management module is further used to send an order reminder message directly to the superior management system while sending a warning message for replenishing inventory to the outside when the real-time inventory data is lower than the preset inventory threshold.

9. The traceability processing system for the disinfection supply center according to claim 7, wherein The system further includes a user terminal display module; the user terminal display module is used to display the disinfection process, the operation data of the sterilization equipment, the material inventory situation, and the abnormal warning information in real time to realize the display of data.

10. The traceability processing system for the disinfection supply center according to claim 7, wherein The data transmission module establishes a communication connection with the traceability system through the communication module; the communication module is an Internet of Things communication module to ensure the real-time transmission and interaction of data between the sterilization equipment and the traceability system.

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