While full machine-to-machine (M2M) registry connections sound ideal, maintaining them for static regulatory master data is often costly and unnecessary. Discover why a hybrid strategy—combining bulk submissions for static attributes with targeted automation for dynamic packaging and commercial data—delivers a more efficient, cost-effective compliance model.
Do You Really Need a Machine-to-Machine Connection to a Registry?
Understanding Process Requirements for Managing Regulatory Master Data
We’ve worked a long time in PIM and Syndication solutions designed to create a “seamless” integration between your product data source systems and regulatory commercial connectors.
Seamless real-time M2M connections sound great and we know they can be done (we’ve set some up), but the reality is they are hard to maintain, and can be riddled with nuances across specific attribution & properties. With this it’s worth asking a more fundamental question:
What data actually changes often enough to justify seamless end-to-end automation?
Perhaps you only need segments of product records to truly be automated. For example lets take some common attributions we see across databases. Your core identifier attribution, device classification, product or model descriptions, sterilization methods, GMDN or EMDN codes, or even manufacturer details. This information is often established during product development and regulatory submission. It changes infrequently, if ever. When it does change, it often warrants the creation of a new set of items, and potentially the need to sunset the older products, especially if they are no longer in circulation.
Perhaps this information can or should be loaded in an event specific manner.
Lets then take a look at potential attributions that may be more dynamic. Perhaps information like commercial availability, packaging configurations, packaging GTINs. This data often changes as part of the annual cycle of go-to-market and distribution strategy. If we step back maybe in specific use cases organizations are paying and prolonging the submission of vital data for an over-engineered connection
What You Can Probably Submit Once
A large percentage of attribution that lives in a regulatory registry, can be set-and-forget after your initial submission or update cycle. Think about:
Device identification and description — your basic UDI-DI record, the product name, brand name, version or model, catalog number. These don't change unless the product itself changes.
Regulatory classification and codes — product codes, device class, GMDN terms. Stable unless reclassification occurs.
Company and establishment data — legal manufacturer, facility addresses, registration numbers. These change on the scale of years, not weeks.
Clinical and safety attributes — whether the device contains latex, MRI safety information, whether it's implantable. These are fixed product characteristics.
For all of this, a bulk submission process, even a well-organized manual or semi-manual one is entirely adequate.
Lets Do the Math
Even if you had 100,000 records to submit to EUDAMED, that takes upload batches containing up to 300 XML files, that would be 334 separate file uploads. If each cycle, name the file, drag it into the portal, wait for processing, confirm the result, move to the next takes you three to five minutes, you're looking at roughly 17-28 hours of work. Over two to three full working days of nothing but dragging and dropping files.
That does assume zero errors, but even if something is wrong with 20% of your batches due to validation errors, you're adding another 60-plus cycles plus debugging and digging into troubleshooting and resubmission. Now you are pushing towards a full week of effort. Final price just to get core data into or updated at a registry. Using a consulting fee of $200/hr that is $8,000*.
(*Note - I’m going to set aside a critical fact and assumption I’m making that your data is ordered, which, honestly in this equation is wash, because regardless of implementing a connector or opting for manual to bulk submissions, data cleansing and preparation is a built in or separate consulting charge)
The takeaway! Bulk one off submissions deserve a look and may be more efficient in overall data submission and remediation process. A clean source file, validated before you start, with a structured process for splitting batches, tracking completions, and handling exceptions. Lets submit it, verify it, and you move on. You revisit it when something critical changes, which might be once a year or less.
Spending six figures on a real-time API integration to keep your latex-free flag current is solving the wrong problem.
Where Automation Actually Earns Its Keep
Now, look at the other side of the record. The parts that do move:
Commercial packaging hierarchies — when you add a new case pack, change a unit-of-use configuration, or update a GTIN, that information needs to flow to the registry. For companies with large catalogs, this happens frequently enough that manual updates create real risk of records falling out of sync.
Labeling and IFU versions — some registries require version tracking on labels. If you're revising labels across a broad portfolio, this can generate a meaningful volume of updates.
Market availability and distribution data — as you enter or exit markets, add or discontinue SKUs, the commercial footprint of your products shifts. These changes are often driven by business decisions that don't originate in your regulatory team, which means automation helps close the gap between what's happening commercially and what the registry reflects.
This is where automation makes sense, because the data changes often enough and potentially in enough change volume that manual processes may introduce errors, delays, and compliance risk. Good news! These attributes can be done as modifications to a product record and would be much easier to automate!
A More Practical Framework
Maybe you should start by looking into your regulatory record fields to see how often they actually change. You'll likely find that 70-80% of the record is essentially static after initial submission. The remaining 20-30% of mostly commercial and packaging data is where your process investment could concentrate.
For foundational product data, a 30 day lag between a change and a registry update is usually fine. You're probably going through a regulatory change process anyway. For commercial packaging data, a lag might mean your GUDID record doesn't match what's on the shelf, which creates downstream problems for hospitals, distributors, and procurement systems.
Underling Lesson!
The conversation about regulatory master data management too often starts with technology and works backward. Start with the process instead.
Understand which parts of your data are stable and which are dynamic. Build a reliable bulk submission process for the stable foundation. Then invest in automation selectively for the data elements that actually move, from source systems that are actually clean.
You might not need a machine-to-machine connection for everything. You likely just need the right connection for the right data. And for most medical device and life science companies, that's a much smaller and much more achievable project. .