De-identifying and synthesizing healthcare PDFs of patient lab reports for model training and Expert Determination
ID: 4c27af05-0ad2-5328-aee8-0e0c5754919f
STIX ID: report--4c27af05-0ad2-5328-aee8-0e0c5754919f
Feed Name: Security Boulevard
Date Published: 2026-07-20
Date Updated: 2026-07-20
Author: Expert Insights on Synthetic Data from the Tonic.ai Blog
Tonic Textual outlines the technical challenges and solutions for de-identifying and synthesizing PHI in healthcare PDFs, detailing issues with OCR extraction, layout and table destruction, character recognition errors, font embedding and missing fonts, spatial constraints when replacing text, and micro-typography concerns; the post highlights the company's PDF synthesis capabilities to produce realistic, high-utility synthetic documents for data commercialization and model training.
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