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Building a Localization Pipeline for IVDR-Compliant Medical Device Documentation

If you work on software or tooling for medical device manufacturers, you've probably run into IVDR (Regulation (EU) 2017/746) somewhere in a requirements doc. It's the regulation governing in vitro diagnostic devices in the EU, and it has a language requirement that's easy to underestimate until you're the one building the system that has to manage it: every Member State can require its own…

When developing software or tooling for medical device manufacturers, you may come across the IVDR (Regulation (EU) 2017/746), which governs in vitro diagnostic devices in the EU. One aspect of compliance that is often overlooked is building a localization pipeline for managing dozens of language variants of regulated content without errors.

Unlike standard localization workflows, IVDR content requires zero tolerance for drift, cross-document consistency, and versioning with legal weight. A single mistranslation can lead to compliance issues, so the architecture needs to be robust. A practical approach involves storing technical file content as structured data using XML or a headless CMS with strict content models. This allows for easy version comparison and tracking of approved changes.

A locked, versioned terminology glossary should be established before translation starts. Store it in a structured format like TBX, and enforce strict adherence to the glossary using a linter tool. Translation memory should be scoped per device family to reduce cross-document inconsistency. Implement a review gate that mirrors ISO 17100, requiring a second linguist review before content moves to notified body submission.

Finally, maintain traceability from source terms to the final rendered documents. Log all relevant information, including source segment IDs, glossary versions, translator and reviewer IDs, and timestamps. This infrastructure is essential for handling any issues flagged by notified bodies quickly and efficiently.

Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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