De-identify clinical text by removing patient names, dates, and identifiers.
npx skills add https://github.com/drpedapati/sciclaw --skill phi-cleaner
Please help me install this Agent Skill. Skill: phi-cleaner Source: https://github.com/drpedapati/sciclaw/tree/main/skills/phi-cleaner Command: npx skills add https://github.com/drpedapati/sciclaw --skill phi-cleaner
phi-cleaner de-identifies clinical text to remove PHI from drafts, notes, and manuscript excerpts, enabling safe sharing with collaborators.
Run phi-clean to sanitize a sample note before sharing externally.
High-intent search queries and answers about installing and using this skill.
You can de-identify clinical text by running the deterministic phi-clean command, which sanitizes drafts, notes, and manuscript excerpts by removing patient names, dates, and identifiers for safe external sharing.
Yes, you can use the detect-only mode to audit potential PHI leakage in clinical notes without modifying the original source text, ensuring safe review during research workflows.
Yes, the de-identification process preserves an evidence trail with auditable outputs, supporting compliance and reproducibility requirements across clinical research workflows.
Yes, the tool can process both individual text inputs and files for PHI protection, applying deterministic de-identification logic to remove protected health information from clinical text.
You need to de-identify manuscript excerpts when sharing clinical research drafts with external collaborators, ensuring all protected health information is removed to maintain privacy and regulatory compliance.
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