How to refine and standardise data quality control requirements for medical device algorithms?

Question

Data quality control is important for medical device product quality, especially for data-based algorithms. What efforts are made to standardise data quality control requirements in areas such as data collection, organisation, labelling, and dataset construction? How can these requirements be refined effectively?

Dr. Oliver Eidel · Accepted Answer

We also design our software prototypes in Figma and keep all previous versions and drafts in a separate Figma board. For documentation, we link to the Figma board instead of copy-pasting wireframes into every document. Whenever there is a change, we duplicate the board or copy the relevant screens into a history board, add the change date and notes for traceability, and keep only the current mockups in the main board to avoid confusion for developers. This way, we have an archive of all versions and can easily reference or export them for audits if needed.

How to refine and standardise data quality control requirements for medical device algorithms?

1 Answer

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