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Abstract #3752

A flexible open-source Python package for de-identification of medical images and related data

Nicolas Pannetier1, Kaleb Fischer1, Justin Elhert1, Ambrus Simon1, Gunnar Schaefer1, and Michael Perry1
1Flywheel Exchange, Inc, Minneapolis, MN, United States

De-identification of medical data is complex and is a barrier for aggregating heterogeneous data repositories. We have developed a flexible open-source Python package for de-identification of medical images and related data. It is fully featured, supports DICOM and 8 other file types and 9 different field transformations. This package is used in production at Flywheel, Inc. We believe this package can contribute to enforce best standards in the protection of patient identity and privacy while relieving researchers from the burdensome task of developing their own custom tooling.

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