Data processing method and device for circulation management

Abstract

The invention discloses a data processing method and device for circulation management. The method comprises the steps of obtaining to-be-processed circulation request data, wherein the to-be-processed circulation request data is used for representing request data in a product cross-border circulation process; request node identification processing is conducted on the cross-border circulation request data, first circulation node data and second circulation node data are obtained, the first circulation node data are data used for representing operation requirements, and the second circulation node data are data used for representing product inventory optimization requirements; performing cross-border link generation processing based on the product identity identification on the first circulation node data to obtain product cross-border circulation data; and carrying out optimization processing on the second circulation node data based on an inventory early warning model to obtain optimized collection data. Through carrying out link management on the heart valve cross-border process, including cross-border product inventory optimization and demand product circulation process, standardized management on the medical instrument cross-border process is realized.

Description

Technical Field

[0001] This application relates to the field of cross-border management of medical device supply chains, and more specifically, to a data processing method and apparatus for distribution management. Background Technology

[0002] As critical medical devices in cardiac surgery, the cross-border circulation of heart valves must meet high timeliness, high safety, and strict hygiene requirements. Multiple sets of different valve models need to be shipped out simultaneously before surgery to match individual patient needs. After surgery, unused valves must be promptly returned to the mainland to avoid resource waste caused by prolonged delays. Current technology lacks a dedicated cross-border management system, requiring manual coordination between companies and hospitals in Hong Kong and Macau. Furthermore, hospitals lack real-time recording methods for valve usage / unused status and dynamic inventory management mechanisms, leading to either excessive inventory tying up capital or insufficient inventory affecting surgeries. There is a lack of dynamic management and forecasting of valve availability.

[0003] Therefore, this application is made in view of the above-mentioned problems existing in the prior art. Summary of the Invention

[0004] The main objective of this application is to provide a data processing method and apparatus for circulation management, so as to solve the technical problems existing in the cross-border circulation of heart valve products in the prior art, and to achieve the technical effect of improving the efficiency of cross-border circulation of medical products.

[0005] To achieve the above objectives, a first aspect of this application proposes a data processing method for circulation management, applied to a cross-border management system for heart valves, to realize cross-border circulation management of heart valve products, the method comprising: Obtain pending circulation request data, wherein the pending circulation request data is request data used to represent the cross-border circulation process of products; The cross-border circulation request data is processed to identify the request nodes to obtain circulation node data, wherein the circulation node data includes first circulation node data and second circulation node data. The first circulation node data is data used to represent surgical demand, and the second circulation node data is data used to represent product inventory optimization demand. The data from the first circulation node is processed to generate cross-border links based on product identity identifiers, thereby obtaining cross-border circulation data of the product. The data from the second circulation node is optimized based on an inventory early warning model to obtain optimized collected data.

[0006] In some optional embodiments of this application, the cross-border link generation processing based on product identity identifiers is performed on the first circulation node data to obtain product cross-border circulation data, including: Match the products corresponding to the first circulation node data in the preset product database to obtain the demand product data, wherein the demand product data is a product digital file; The first circulation node data and the demand product data are subjected to logistics matching processing to obtain product logistics data; The product demand data is processed by surgical case association to obtain product status data; The product digital file is updated based on the product logistics data and the product status data to obtain product cross-border circulation data.

[0007] In some optional embodiments of this application, the first circulation node data and the demand product data are subjected to logistics matching processing to obtain product logistics data, including: The surgical requirement is identified and processed from the data of the first circulation node to obtain surgical requirement data; Based on the surgical demand data, a corresponding product circulation request is generated, and product circulation request result data is obtained, wherein the product circulation request result data is the review result data of the product circulation request; The product circulation request result data is processed to identify the circulation time and circulation location, resulting in circulation time data and circulation location data; Based on the circulation time data and the circulation node data, logistics task generation processing is performed to obtain the product logistics data.

[0008] In some optional embodiments of this application, the second circulation node data is optimized based on an inventory early warning model to obtain optimized collected data, including: Obtain first product inventory data and second product inventory data, wherein the first product inventory data is used to represent product inventory data in the inventory unit, and the second product inventory data is used to represent historical product inventory and usage data in the inventory unit; The second product inventory data is processed using a consumption model to obtain consumption forecast data; The inventory data of the first product and the consumption forecast data are optimized using an inventory early warning model to obtain the optimized collected data, wherein the optimized collected data is used to represent the optimized collected data corresponding to the current inventory unit.

[0009] In some optional embodiments of this application, the circulation node data further includes third circulation node data, which is data used to represent a product re-entry request, including: The data from the third circulation node is processed based on circulation time to obtain the re-entry circulation time data; The data from the third circulation node is processed to extract the features of the repeated features, resulting in repeated feature data. Extract and process the outbound characteristics of the products corresponding to the third circulation node data to obtain outbound characteristic data; The re-entry feature data and the exit feature data are subjected to information matching processing to obtain re-entry matching feature data; The re-entry circulation time data and the re-entry matching feature data are processed to obtain product re-entry data.

[0010] In some optional embodiments of this application, after obtaining the pending flow request data, the method further includes: The pending circulation request data is processed to identify circulation nodes, thereby obtaining circulation node data; Match the business model corresponding to the circulation node data to obtain the circulation business model; The pending circulation request data is processed according to the circulation business model to obtain the business execution result data. The business execution result data is encrypted and stored in the product digital archive.

[0011] According to a second aspect of this application, a data processing device for circulation management is proposed, applied to a cross-border management system for heart valves, to realize cross-border circulation management of heart valve products, including: The data acquisition module is used to acquire pending circulation request data, wherein the pending circulation request data is request data used to represent the cross-border circulation process of products; The node identification module is used to identify the request nodes in the cross-border circulation request data to obtain circulation node data. The circulation node data includes first circulation node data and second circulation node data. The first circulation node data is data used to represent surgical needs, and the second circulation node data is data used to represent product inventory optimization needs. The first circulation module is used to perform cross-border link generation processing on the data of the first circulation node based on product identity to obtain cross-border circulation data of the product. The second circulation module is used to optimize the data from the second circulation node based on the inventory early warning model to obtain optimized collected data.

[0012] In some optional embodiments of this application, the first circulation module includes: The product matching module is used to match the products corresponding to the first circulation node data in the preset product database to obtain the demand product data, wherein the demand product data is a product digital file. The logistics matching module is used to perform logistics matching processing on the first circulation node data and the demand product data to obtain product logistics data. The product status module is used to perform surgical case association processing on the required product data to obtain product status data. The product management module is used to update the product digital archive based on the product logistics data and the product status data to obtain product cross-border circulation data.

[0013] According to a third aspect of this application, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing the computer to perform the above-described data processing method for circulation management.

[0014] According to a fourth aspect of this application, an electronic device is provided, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, the computer program being executed by the at least one processor to cause the at least one processor to perform the aforementioned data processing method for circulation management.

[0015] The technical solutions provided by the embodiments of this application may include the following beneficial effects: In this application, pending circulation request data is acquired, wherein the pending circulation request data represents request data in the cross-border circulation process of products; the cross-border circulation request data is processed to identify request nodes to obtain circulation node data, wherein the circulation node data includes first circulation node data and second circulation node data, the first circulation node data representing surgical needs and the second circulation node data representing product inventory optimization needs; the first circulation node data is processed to generate cross-border links based on product identity to obtain cross-border product circulation data; the second circulation node data is processed to optimize based on an inventory early warning model to obtain optimized collection data. By managing the cross-border process of heart valves, including cross-border product inventory optimization and the circulation process of demanded products, standardized management of the cross-border process of medical devices is achieved. Attached Figure Description

[0016] The accompanying drawings, which form part of this application, are used to provide a further understanding of the application and to make other features, objects, and advantages of the application more apparent. The illustrative embodiments and descriptions of this application are used to explain the application and do not constitute an undue limitation of the application. In the drawings: Figure 1 A flowchart of a data processing method for circulation management proposed in this application; Figure 2 A flowchart of a data processing method for circulation management proposed in this application; Figure 3 A flowchart of a data processing method for circulation management proposed in this application; Figure 4 This is a schematic diagram of a data processing device for circulation management proposed in this application; Figure 5 This is a schematic diagram of a data processing device for circulation management proposed in this application. Detailed Implementation

[0017] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0018] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this application described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0019] In this application, the terms "upper," "lower," "left," "right," "front," "rear," "top," "bottom," "inner," "outer," "middle," "vertical," "horizontal," "lateral," and "longitudinal" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. These terms are primarily for the purpose of better describing this application and its embodiments, and are not intended to limit the indicated device, element, or component to having a specific orientation, or to be constructed and operated in a specific orientation.

[0020] Furthermore, in addition to indicating location or positional relationship, some of the aforementioned terms may also have other meanings. For example, the term "above" may also be used in some cases to indicate a certain dependency or connection relationship. Those skilled in the art can understand the specific meaning of these terms in this application based on the specific circumstances.

[0021] Furthermore, the terms "installation," "setup," "equipped with," "connection," "linked," and "socketing" should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral structure; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or an internal connection between two devices, components, or parts. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances.

[0022] In some optional embodiments of this application, a data processing method for circulation management is proposed and applied to a cross-border management system for heart valve products to realize cross-border circulation management of heart valve products. The cross-border management system for heart valve products includes: a product information filing module, a pre-exit application and customs clearance collaboration module, a Hong Kong and Macao usage status monitoring module, a re-entry verification and tax exemption declaration module, and a data traceability and inventory management module. The product information filing module assigns a unique code to each heart valve, collects and encrypts basic product information, and generates a digital product file. The product information filing module generates digital product files for heart valves, including: a unique identification unit: each valve is assigned a unique code using a QR code / RFID tag, with the coding rules being: enterprise code + batch number + model + production serial number, ensuring unique product traceability; a basic information entry unit: this unit collects and stores basic information such as valve model specifications, expiration date, production batch, storage temperature requirements, and health and quarantine certificate number, which is automatically imported into the enterprise's ERP system; and an information encryption unit: sensitive product information is encrypted and stored using a symmetric encryption algorithm, and can only be decrypted and viewed by authorized roles, including enterprise administrators, customs auditors, and hospital medical staff.

[0023] The pre-departure application and customs clearance collaboration module generates a pre-departure application form based on the surgical needs of hospitals in Hong Kong and Macao, obtains customs clearance documents by connecting to the customs system through the API interface, matches cold chain logistics providers, and tracks logistics location. The temporary export application and customs clearance coordination module includes a temporary export application generation unit, a customs system integration unit, and a logistics scheduling unit. The temporary export application generation unit automatically generates a "Temporary Export Application Form for Heart Valve" based on surgical appointment information from Hong Kong and Macau hospitals, including the surgery time and the patient's estimated valve type requirement. This form includes a list of exported products, the name of the surgical hospital, and the expected return date. The product list includes a unique code, model, and quantity. The customs system integration unit connects to the customs cross-border medical device supervision platform via an API interface, automatically uploading the "Temporary Export Application Form" and product quarantine certificates, and obtaining the customs pre-approval results. If approved, it generates a customs clearance appointment certificate, including the port of entry and appointment time. The logistics scheduling unit automatically matches logistics providers with medical device cold chain transportation qualifications based on the customs clearance certificate information, generates a logistics task order, including product storage temperature requirements and transportation routes, and obtains real-time logistics location information, synchronizing it to the data traceability module.

[0024] The Hong Kong and Macau usage status monitoring module links products with surgical cases, obtains the product usage / unused status, and obtains the temporary storage environment of unused products and issues warnings for anomalies; The system links products and surgical cases, enabling association between heart valve products and specific surgical cases by scanning their identification codes. Product status is categorized as "used" or "unused": if marked "used," the product's digital file includes uploaded usage records; if marked "unused," the product's digital file includes the product's temporary storage location and storage environment data. An abnormal status warning unit automatically sends warning messages to enterprise administrators and hospital managers if the temporary storage environment of an unused product exceeds a preset range or the storage time exceeds a preset threshold, prompting timely action.

[0025] The module for re-entry verification and tax exemption declaration generates a re-entry application form, determines tax exemption eligibility through a tax exemption qualification coefficient model, and connects with customs to achieve rapid re-entry verification. The data traceability and inventory management module records data throughout the entire process to form a traceability log, uses an inventory pressure coefficient model to issue early warnings of inventory anomalies, and generates inventory adjustment suggestions.

[0026] The data traceability and inventory management module includes a full-process data recording unit, a traceability query unit, an inventory pressure early warning unit, and an inventory adjustment suggestion unit. The full-process data recording unit stores real-time data from each stage of the product's export application, customs review, logistics transportation, hospital use, and re-entry verification, forming an immutable traceability log encrypted with timestamps and hash values ​​to prevent data tampering. The traceability query unit allows enterprises, customs, and hospitals to query full-process data using keywords such as product unique code, surgery number, and logistics tracking number. Query results include data time, operator, and key documents. The inventory pressure early warning unit calculates the rationality of inventory levels in Hong Kong and Macau hospitals by constructing an inventory pressure model. The inventory adjustment suggestion unit generates and pushes procurement suggestions for inventory adjustments based on the inventory pressure early warning unit.

[0027] Figure 1 A flowchart of a data processing method for circulation management proposed in this application is shown below. Figure 1 As shown, the method includes the following steps: S101: Obtain pending flow request data; The pending circulation request data is used to represent request data during the cross-border circulation process of products; S102: Identify and process the request node in the cross-border circulation request data to obtain circulation node data, which includes first circulation node data and second circulation node data. The first circulation node data is used to represent surgical demand, and the second circulation node data is used to represent product inventory optimization demand. S103: Perform cross-border link generation processing on the first circulation node data based on product identity to obtain product cross-border circulation data; In some optional embodiments of this application, a data processing method for circulation management is proposed. Figure 2 A flowchart of a data processing method for circulation management proposed in this application is shown below. Figure 2 As shown, the method includes the following steps: S201: Match the product corresponding to the first circulation node data in the preset product database to obtain the required product data; The required product data is a digital archive of the product; by assigning a unique code to the system valve product, collecting and encrypting the basic information, a digital archive is generated.

[0028] S202: Perform logistics matching processing on the first circulation node data and the demand product data to obtain product logistics data; Based on the surgical requirements, a pre-departure application form is generated, customs clearance documents are obtained, and logistics providers are matched and the logistics are tracked.

[0029] In some optional embodiments of this application, a data processing method for circulation management is proposed, comprising: The surgical requirement data is obtained by identifying and processing the data from the first circulation node. Based on the surgical demand data, a corresponding product circulation request is generated, and the product circulation request result data is obtained. The product circulation request result data is the review result data of the product circulation request. The product circulation request result data is processed to identify the circulation time and circulation location to obtain circulation time data and circulation location data. Based on the circulation time data and circulation node data, logistics task generation processing is performed to obtain product logistics data.

[0030] S203: Perform surgical case association processing on the demand product data to obtain product status data; S204: Update the product digital archive based on product logistics data and product status data to obtain product cross-border circulation data.

[0031] S104: Optimize the data from the second circulation node based on the inventory early warning model to obtain optimized data.

[0032] In some optional embodiments of this application, a data processing method for circulation management is proposed. Figure 3 A flowchart of a data processing method for circulation management proposed in this application is shown below. Figure 3 As shown, the method includes the following steps: S301: Obtain inventory data for the first product and inventory data for the second product; The first product inventory data is used to represent the product inventory data in the inventory unit. The second product inventory data is used to represent the historical product inventory and usage in the inventory unit; S302: Perform forecasting processing on the inventory data of the second product based on the consumption model to obtain consumption forecast data; S303: Optimize the inventory early warning model by processing the inventory data and consumption forecast data of the first product to obtain optimized collected data.

[0033] The inventory rationality of a Hong Kong and Macau hospital is calculated by constructing an inventory pressure model. The formula is as follows:

[0034] in: This is the inventory pressure coefficient, with a value range of 0 to +∞. > When it is determined that the inventory is too high, The inventory warning threshold is preset to 1.5, and a stock preparation adjustment warning is sent. This refers to the current valve inventory in hospitals in Hong Kong and Macau. This represents the historical average daily usage of this type of valve; This is the preparation period.

[0035] The optimized collected data is used to represent the optimized collected data corresponding to the current inventory unit.

[0036] When the inventory pressure coefficient When the threshold is exceeded, the system... , and Automatically calculate recommended replenishment quantity And push it to the procurement department.

[0037] In some optional embodiments of this application, a data processing method for circulation management is proposed, wherein the circulation node data further includes third circulation node data, which is data used to represent product re-entry requests, including: The process involves: extracting circulation time-based data from the third circulation node data to obtain re-entry circulation time data; extracting re-entry features from the third circulation node data to obtain re-entry feature data; extracting export features of the products corresponding to the third circulation node data to obtain export feature data; performing information matching processing on the re-entry feature data and the export feature data to obtain re-entry matching feature data; and performing re-entry judgment processing on the re-entry circulation time data and the re-entry matching feature data to obtain product re-entry data, including: Tax-free eligibility assessment unit: The tax-free eligibility coefficient is calculated by constructing a tax-free assessment model. The formula is as follows:

[0038] in: This is the tax exemption eligibility coefficient, with a value ranging from 0 to 1. ≥ It was determined that the conditions for tax exemption were met. The tax exemption threshold is preset to 0.8; This serves as an indicator of the product's usage status. =1 indicates that it is not used. =0 indicates that it has been used; The actual time of product export, from the completion of export customs clearance to the initiation of the re-entry application; This is to preset the maximum allowed departure time; To determine the matching degree between the re-entry information and the exit information, the calculation is performed by comparing information such as the product's unique code, model, and batch number, with a value range of 0-1. , , These are the weighting coefficients. ,default =0.5、 =0.3、 =0.2, used to adjust the degree of influence of each factor on the tax exemption determination.

[0039] In some optional embodiments of this application, a data processing method for circulation management is proposed, the method further comprising: The pending circulation request data is processed to identify circulation nodes to obtain circulation node data; the business model corresponding to the circulation node data is matched to obtain a circulation business model; the pending circulation request data is processed to perform business execution according to the circulation business model to obtain business execution result data; the business execution result data is encrypted and stored in the product digital archive.

[0040] In some optional embodiments of this application, a data processing device for circulation management is proposed, applied to a cross-border management system for heart valves, to realize the cross-border circulation management of heart valve products. Figure 4 A schematic diagram of a data processing device for circulation management provided in this application is shown below. Figure 4 As shown, it includes: The data acquisition module 41 is used to acquire pending circulation request data, wherein the pending circulation request data is request data used to represent the cross-border circulation process of products; The node identification module 42 is used to identify the request node in the cross-border circulation request data to obtain circulation node data. The circulation node data includes first circulation node data and second circulation node data. The first circulation node data is data used to represent surgical needs, and the second circulation node data is data used to represent product inventory optimization needs. The first circulation module 43 is used to perform cross-border link generation processing on the first circulation node data based on product identity identification to obtain product cross-border circulation data. The second circulation module 44 is used to optimize the data of the second circulation node based on the inventory early warning model to obtain optimized collected data.

[0041] In some optional embodiments of this application, a data processing device for circulation management is proposed, applied to a cross-border management system for heart valves, to realize the cross-border circulation management of heart valve products. Figure 5 A schematic diagram of a data processing device for circulation management provided in this application is shown below. Figure 5 As shown, it includes: Product matching module 51 is used to match products corresponding to the first circulation node data in a preset product database to obtain demand product data, wherein the demand product data is a product digital file. The logistics matching module 52 is used to perform logistics matching processing on the first circulation node data and the demand product data to obtain product logistics data; Product status module 53 is used to perform surgical case association processing on the demand product data to obtain product status data; Product management module 54 is used to update the product digital file based on the product logistics data and the product status data to obtain product cross-border circulation data.

[0042] In this application, pending circulation request data is acquired, wherein the pending circulation request data represents request data in the cross-border circulation process of products; the cross-border circulation request data is processed to identify request nodes to obtain circulation node data, wherein the circulation node data includes first circulation node data and second circulation node data, the first circulation node data representing surgical needs and the second circulation node data representing product inventory optimization needs; the first circulation node data is processed to generate cross-border links based on product identity to obtain cross-border product circulation data; the second circulation node data is processed to optimize based on an inventory early warning model to obtain optimized collection data. By managing the cross-border process of heart valves, including cross-border product inventory optimization and the circulation process of demanded products, standardized management of the cross-border process of medical devices is achieved.

[0043] It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases the steps shown or described may be executed in a different order than that shown here.

[0044] Obviously, those skilled in the art should understand that the various units or steps of this application described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. Optionally, they can be implemented using computer-executable program code, thereby storing them in a storage device for execution by a computing device, or fabricating them separately as individual integrated circuit modules, or fabricating multiple modules or steps into a single integrated circuit module. Thus, this application is not limited to any particular combination of hardware and software.

[0045] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A data processing method for circulation management, characterized in that, An application to a cross-border management system for heart valves, to achieve cross-border circulation management of heart valve products, the method includes: Obtain pending circulation request data, wherein the pending circulation request data is request data used to represent the cross-border circulation process of products; The pending circulation request data is processed to identify the request node to obtain circulation node data, wherein the circulation node data includes first circulation node data and second circulation node data. The first circulation node data is data used to represent surgical demand, and the second circulation node data is data used to represent product inventory optimization demand. The data from the first circulation node is processed to generate cross-border links based on product identity identifiers, thereby obtaining cross-border circulation data of the product. The data from the second circulation node is optimized based on an inventory early warning model to obtain optimized collected data.

2. The data processing method according to claim 1, characterized in that, The first circulation node data is processed using cross-border link generation based on product identity identifiers to obtain cross-border product circulation data, including: Match the products corresponding to the first circulation node data in the preset product database to obtain the demand product data, wherein the demand product data is a product digital file; The first circulation node data and the demand product data are subjected to logistics matching processing to obtain product logistics data; The product demand data is processed by surgical case association to obtain product status data; The product digital file is updated based on the product logistics data and the product status data to obtain product cross-border circulation data.

3. The data processing method according to claim 2, characterized in that, The first distribution node data and the demand product data are matched together to obtain product logistics data, including: The surgical requirement is identified and processed from the data of the first circulation node to obtain surgical requirement data; Based on the surgical demand data, a corresponding product circulation request is generated, and product circulation request result data is obtained, wherein the product circulation request result data is the review result data of the product circulation request; The product circulation request result data is processed to identify the circulation time and circulation location, resulting in circulation time data and circulation location data; Based on the circulation time data and the circulation node data, logistics task generation processing is performed to obtain the product logistics data.

4. The data processing method according to claim 1, characterized in that, The data from the second circulation node is optimized using an inventory early warning model to obtain optimized collected data, including: Obtain first product inventory data and second product inventory data, wherein the first product inventory data is used to represent product inventory data in the inventory unit, and the second product inventory data is used to represent historical product inventory and usage data in the inventory unit; The second product inventory data is processed using a consumption model to obtain consumption forecast data; The inventory data of the first product and the consumption forecast data are optimized using an inventory early warning model to obtain the optimized collected data, wherein the optimized collected data is used to represent the optimized collected data corresponding to the current inventory unit.

5. The data processing method according to claim 1, characterized in that, The circulation node data also includes third circulation node data, which is data used to indicate product re-entry requests, including: The data from the third circulation node is processed based on circulation time to obtain the re-entry circulation time data; The data from the third circulation node is processed to extract the features of the repeated features, resulting in repeated feature data. Extract and process the outbound characteristics of the products corresponding to the third circulation node data to obtain outbound characteristic data; The re-entry feature data and the exit feature data are subjected to information matching processing to obtain re-entry matching feature data; The re-entry circulation time data and the re-entry matching feature data are processed to obtain product re-entry data.

6. The data processing method according to claim 1, characterized in that, After acquiring the pending flow request data, the method further includes: The pending circulation request data is processed to identify circulation nodes, thereby obtaining circulation node data; Match the business model corresponding to the circulation node data to obtain the circulation business model; The pending circulation request data is processed according to the circulation business model to obtain the business execution result data. The business execution result data is encrypted and stored in the product digital archive.

7. A data processing device for circulation management, characterized in that, This is applied to the cross-border management system for heart valves to facilitate the cross-border circulation management of heart valve products, including: The data acquisition module is used to acquire pending circulation request data, wherein the pending circulation request data is request data used to represent the cross-border circulation process of products; The node identification module is used to identify the request nodes in the pending circulation request data to obtain circulation node data. The circulation node data includes first circulation node data and second circulation node data. The first circulation node data is data used to represent surgical needs, and the second circulation node data is data used to represent product inventory optimization needs. The first circulation module is used to perform cross-border link generation processing on the data of the first circulation node based on product identity to obtain cross-border circulation data of the product. The second circulation module is used to optimize the data from the second circulation node based on the inventory early warning model to obtain optimized collected data.

8. The data processing apparatus according to claim 7, characterized in that, The first circulation module includes: The product matching module is used to match the products corresponding to the first circulation node data in the preset product database to obtain the demand product data, wherein the demand product data is a product digital file. The logistics matching module is used to perform logistics matching processing on the first circulation node data and the demand product data to obtain product logistics data. The product status module is used to perform surgical case association processing on the required product data to obtain product status data. The product management module is used to update the product digital archive based on the product logistics data and the product status data to obtain product cross-border circulation data.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing the computer to perform the data processing method for circulation management as described in any one of claims 1-6.

10. An electronic device, characterized in that, include: At least one processor; The at least one processor is also connected in communication with a memory, wherein the memory stores a computer program that can be executed by the at least one processor to cause the at least one processor to perform the data processing method for circulation management as described in any one of claims 1-6.

Images