De-identification

What Is PHI De-identification, Really?

Pixel data, header tags, and burned-in text — where PHI actually hides in medical imaging, and what it takes to remove it defensibly.

"We de-identified it" gets said a lot more often than it's actually true. Real de-identification for medical imaging means addressing three distinct layers of PHI — and most tooling only handles one of them well.

Layer one: DICOM header tags

Patient name, ID, birthdate, accession number, referring physician — these live in structured DICOM header fields and are the easiest to strip. Most PACS and de-identification tools handle this layer reasonably well, following profiles like the DICOM PS3.15 de-identification standard.

Layer two: private and vendor-specific tags

Manufacturers frequently stash additional identifying information — device serial numbers, site names, sometimes even patient data — in private tag groups that aren't part of the standard header set. A de-identification process that only clears standard tags can leave this layer completely untouched.

Layer three: burned-in pixel data

This is the layer most tools miss entirely. Ultrasound frames, C-arm captures, dose reports, and scanned requisitions often have patient names, dates, and facility information rendered directly into the image pixels — invisible to header-scrubbing tools because it isn't metadata at all, it's picture content.

Pixel-level PHI requires OCR-based detection across every frame, followed by visual review of anything flagged — not a one-time script run and a checkbox.

What defensible de-identification actually requires

  • A documented, repeatable process — not a manual one-off.
  • Coverage across all three layers: standard tags, private tags, and pixel data.
  • An audit trail proving what was checked and what was found, for every study.
  • Human review of anything an automated process flags as uncertain.

If your current process only addresses layer one, it's not fully de-identified — it just looks that way until someone opens the image.

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