Third-party platform medical instrument data management method

Abstract

The invention is applicable to the technical field of medical instrument data management, and provides a third-party platform medical instrument data management method, which comprises the following steps: data acquisition: in an official organization, acquiring a medical instrument unique identifier standard database in an xml format according to a published data interface; data conversion: converting the xml data into medical instrument database data according to a rule; data cleaning; updating the data; the database application comprises automatic auditing and auxiliary manual auditing. Data distribution is realized through intelligent matching, so that the product data auditing workload is greatly reduced; a shunting algorithm can be evolved, a final processing result of manual auditing shunting is used as a training set, shunting is more accurate, the manual auditing amount is less and less, and the working efficiency is continuously improved; and manual auditing is assisted to improve efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of medical device data management, and in particular to a method for managing medical device data on a third-party platform. Background Art

[0002] Existing technology results in excessive operator labor costs. Third-party platforms have thousands to tens of thousands of suppliers, including hundreds of medical device companies, each with hundreds to hundreds of thousands of product listings. Adding and reviewing data updates one by one, across tens of millions of data items, creates a tremendous workload.

[0003] Existing technologies place high demands on the professional expertise of operators. Existing technologies can easily lead to some medical devices not being managed in accordance with regulations. To address the current lack of effective tools to help determine the accuracy of medical device product information, a standard database for unique identification of medical device product information is established. By setting rules to verify the consistency of product information submitted by suppliers with the standard database for unique identification, automatic and semi-automatic audits can be performed, effectively improving the efficiency of auditors and even replacing some of their work. Given that many medical device products are added, updated, deregistered, or handled in violation of regulations each year, update rules for the basic product information and status in the standard database for unique identification are set up for automatic updates, while also supporting manual updates. Summary of the Invention

[0004] The present invention provides a method for managing medical device data on a third-party platform to solve the technical problems mentioned in the background technology.

[0005] A method for managing medical device data on a third-party platform, the method comprising:

[0006] S1. Data acquisition: Obtain the medical device unique identification standard database in XML format from official institutions according to the published data interface;

[0007] S2. Data conversion: converting XML data into medical device database data according to the rules;

[0008] S3, data cleaning;

[0009] S4, data update;

[0010] S5. Database application: including automatic review and assisted manual review.

[0011] As a further technical solution of the present invention, the database consists of a main table of medical devices and four sub-tables, the four sub-tables being: an enterprise contact sub-table, a packaging product identification sub-table, a storage or operation sub-table, and a clinical size sub-table.

[0012] As a further technical solution of the present invention, the data cleaning includes the following steps:

[0013] De-duplicate data based on the principle of unique medical device registration / filing number and non-repetitive specifications / models;

[0014] Write a cleaning algorithm based on preset rules to discard medical device data that does not conform to the naming rules and manually mark them for retention or elimination;

[0015] The remaining data is written into the medical device unique identification standard database.

[0016] As a further technical solution of the present invention, the data update includes the following steps: obtaining updated data from official agencies every day, performing data conversion and data cleaning, and then updating the medical device unique identification database.

[0017] As a further technical solution of the present invention, automatic auditing in database applications includes the following steps:

[0018] Set the diversion algorithm to high, medium, and low, and the matching degree of each level is adjustable;

[0019] Use the combination of product name, specification, model, and registration / filing number to match other basic information and sub-table information in the unique identification standard database and calculate the matching degree;

[0020] Data with a “high” matching degree will be automatically approved; data with a “low” matching degree will be automatically rejected.

[0021] Manual sampling can be performed on the automatically reviewed data, and the review can be canceled and entered into manual review;

[0022] If the sampling results show that the automatic review accuracy does not meet the preset threshold, the matching degree of each file can be adjusted.

[0023] As a further technical solution of the present invention, the auxiliary manual review in the database application includes the following steps:

[0024] Data with a "medium" matching degree will enter manual review. During manual review, the current product data will be displayed with the information matching the medical device unique identification standard database. If the business meaning is consistent but the expression is different, the data will be accepted; otherwise, the data will be rejected.

[0025] For the data that passes, the system will record the business description as the same by default, and will automatically review and approve it next time the same data is encountered.

[0026] Beneficial effects achieved by the present invention:

[0027] 1. Data diversion through intelligent matching greatly reduces the workload of product data review;

[0028] 2. The diversion algorithm is evolutionary, and the final processing results of manual review and diversion serve as a training set. This makes diversion more accurate, reduces the amount of manual review, and continuously improves work efficiency.

[0029] 3. Assist manual review to improve efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 The present invention is a flowchart of a method for managing medical device data on a third-party platform. DETAILED DESCRIPTION

[0031] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0032] In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of the technical features indicated. Therefore, a feature specified as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, "plurality" means two or more, unless otherwise specifically defined.

[0033] The present invention proposes a method for managing medical device data on a third-party platform, the method comprising:

[0034] S1. Data acquisition: Obtain the medical device unique identification standard database in XML format from official institutions according to the published data interface. Access address: https: / / udi.nmpa.gov.cn / ;

[0035] S2. Data conversion: converting XML data into medical device database data according to the rules;

[0036] S3. Data cleaning:

[0037] De-duplicate data based on the principle of unique medical device registration / filing number and non-repetitive specifications / models;

[0038] Write a cleaning algorithm based on preset rules (the preset rules can be the "Nomenclature Rules for Medical Devices" (State Food and Drug Administration Order No. 19)), discard medical device data that does not comply with the naming rules, and manually mark them for retention or removal;

[0039] The remaining data is written into the medical device unique identification standard database;

[0040] S4. Data update: Obtain updated data from official agencies daily, perform data conversion and data cleaning, and then update the medical device unique identification database;

[0041] S5. Database application: including automatic review and assisted manual review.

[0042] In this embodiment, the database consists of a main table of medical devices and four sub-tables, which are: a company contact sub-table, a packaged product identification sub-table, a storage or operation sub-table, and a clinical size sub-table.

[0043] In this embodiment, automatic auditing in a database application includes the following steps:

[0044] Set the diversion algorithm to high, medium, and low, and the matching degree of each level is adjustable;

[0045] The product name, specifications, model, and registration / filing number are matched to find other basic information and sub-table information in the unique identification standard database, and the matching degree is calculated. The matching degree is considered high when the registration / filing number of the basic product information is exactly the same as the registration and filing number in the standard database, and the product name, specifications, and model are semantically similar.

[0046] The registration / filing number of the basic product information is consistent with the registration and filing number in the standard database, and the product name, specifications, and model are semantically similar, which is considered a medium match;

[0047] If no similar standard library data is found for any of the four items: product name, specification, model, and registration / filing number, the match is considered low.

[0048] Data with a “high” matching degree will be automatically approved; data with a “low” matching degree will be automatically rejected.

[0049] Manual sampling can be performed on the automatically reviewed data, and the review can be canceled and entered into manual review;

[0050] If the sampling results show that the automatic review accuracy does not meet the preset threshold, the matching degree of each file can be adjusted.

[0051] In this embodiment, the database application auxiliary manual review includes the following steps:

[0052] Data with a "medium" matching degree will enter manual review. During manual review, the current product data will be displayed with the information matching the medical device unique identification standard database. If the business meaning is consistent but the expression is different, the data will be accepted; otherwise, the data will be rejected.

[0053] For the data that passes, the system will record the business description as the same by default, and will automatically review and approve it next time the same data is encountered.

[0054] The present invention establishes a medical device unique identification standard database, intelligently matches the medical device product information released by suppliers and then diverts it. The platform data management personnel change from processing all product data to only processing product data that requires manual processing; and during the processing process, the comparison is upgraded from manual search of device registration data to comparison with the medical device unique identification standard database, making the processing process faster and more efficient.

[0055] It should be noted that, in this document, the term "comprises" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article, or apparatus that includes a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes the element.

[0056] The above are only preferred embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention description and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for managing medical device data on a third-party platform, characterized in that: The method comprises: S1. Data acquisition: Obtain the medical device unique identification standard database in XML format from official institutions according to the published data interface; S2. Data conversion: converting XML data into medical device database data according to the rules; S3, data cleaning; S4, data update; S5. Database application: including automatic review and assisted manual review.

2. The preparation method of a method for managing medical device data on a third-party platform according to claim 1, characterized in that: The database consists of a main table of medical devices and four sub-tables, namely: enterprise contact sub-table, packaging product identification sub-table, storage or operation sub-table and clinical size sub-table.

3. The preparation method of a method for managing medical device data on a third-party platform according to claim 1, characterized in that: The data cleaning comprises the following steps: De-duplicate data based on the principle of unique medical device registration / filing number and non-repetitive specifications / models; Write a cleaning algorithm based on preset rules to discard medical device data that does not conform to the naming rules and manually mark them for retention or elimination; The remaining data is written into the medical device unique identification standard database.

4. The preparation method of a method for managing medical device data on a third-party platform according to claim 1, characterized in that: The data update includes the following steps: obtaining updated data from official agencies every day, performing data conversion and data cleaning, and then updating the medical device unique identification database.

5. The preparation method of a method for managing medical device data on a third-party platform according to claim 1, characterized in that: Automatic auditing in database applications includes the following steps: Set the diversion algorithm to high, medium, and low, and the matching degree of each level is adjustable; Use the combination of product name, specification, model, and registration / filing number to match other basic information and sub-table information in the unique identification standard database and calculate the matching degree; Data with a "high" matching degree will be automatically approved; data with a "low" matching degree will be automatically rejected. Manual sampling can be performed on the automatically reviewed data, and the review can be canceled and entered into manual review; If the sampling results show that the automatic review accuracy does not meet the preset threshold, the matching degree of each file can be adjusted.

6. The preparation method of a method for managing medical device data on a third-party platform according to claim 1, characterized in that: Assisted manual review in database applications includes the following steps: Data with a "medium" matching degree will enter manual review. During manual review, the current product data will be displayed with the information matching the medical device unique identification standard database. If the business meaning is consistent and only the expression is different, the data will be accepted; otherwise, it will be rejected. For the data that passes, the system will record the business description as the same by default, and will automatically review and approve it next time the same data is encountered.

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