What the data for this category looks like
The data used for medical device intelligent due diligence reports primarily comes from the National Medical Products Administration filing database, official announcements of medical device registration certificates, public financial reports of listed companies, and public clinical research platforms. The data update schedule is adjusted based on regulatory updates: newly approved devices are added to the database in real time, and annual registration information is updated quarterly. A single report document’s structure includes fields such as registration certificate number, full manufacturer name, model and specification, applicable clinical scenarios, technical parameters, clinical verification data, and validity period. Field units include professional medical measurement units such as millimeters (mm), kilovolts (kV), pieces, and follow-up months.
What constraints do these characteristics impose on the tool calling and plugins link
The official sources of medical device due diligence data require that tool calling must connect to compliant public interfaces, avoid using unauthorized data sources, and configure interface authentication parameters to ensure data compliance. The multi-rhythm update feature requires plugins to support switching between incremental and full data pulling, to adapt to the real-time addition of new devices to the database and quarterly update rhythms. The complex multi-field structure requires tool calling to support custom field mapping, to adapt to parameter differences across different medical device categories. The diverse professional units require plugins to have built-in unit conversion logic to avoid measurement errors across data sources.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
plugin_api_timeout | 600 seconds | Medical device due diligence report documents are relatively long, and interface response times are generally longer than those for general documents |
plugin_field_mapping | Map in the order of registration certificate number, manufacturer, model and specification | Core identification fields of medical devices have higher priority, ensuring downstream nodes can obtain key information |
plugin_incremental_sync | Enabled, filtered by update timestamp | Adapts to the dual rhythm of real-time addition of new devices to the database and quarterly updates, preventing expired data from being included |
plugin_unit_conversion | Enable built-in medical unit conversion rules | Covers conversion requirements for professional measurement units such as mm and kV, unifying data formats |
plugin_api_auth_type | API_KEY authentication | Most official public medical device interfaces use this authentication method, meeting compliance requirements |
plugin_max_retries | 3 times | Addresses temporary interface fluctuations, ensuring the success rate of data pulling |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Issue: After adding the Doc2X plugin in the privatized deployment version v4.8.15-fix-emb-page, calling the plugin throws an error. The log shows
File size exceeds limit. Cause: TheUPLOAD_FILE_MAX_SIZEparameter was not adjusted. The default upload limit of this version is adapted to general documents, which is insufficient for long medical device documents. - Issue: After referencing a configured plugin in a workflow, an input box error occurs when connecting a code running node. Cause: The mapping relationship for medical device-specific fields was not configured in
plugin_field_mapping, causing downstream nodes to fail to obtain valid input. - Issue: The due diligence data pulled by the plugin includes expired registration certificates. Cause: The
plugin_incremental_syncparameter was not enabled, and full pull was used without filtering by update time, resulting in old data being included in the results.
How to confirm the configuration is complete
- Call the plugin test interface, pass in a single piece of medical device registration certificate data, and check whether the returned fields include core items such as registration certificate number and model and specification, and whether the field units meet expectations.
- View the plugin running logs, confirm that interface authentication is passed, there are no
401 Unauthorizedor403 Forbiddenerrors, and no504 Gateway Timeouttimeouts are triggered. - Trigger an incremental sync task, check whether the update time of the returned data is within the set filtering range, and no expired data is included.
- Connect a code running node, pass in the test data returned by the plugin, confirm that the input box can load fields normally, and there are no format errors.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.