What is Segmed?
Free Medical Data De‑Identification Tool by Segmed removes protected health information from clinical datasets using natural language processing and language models. It automates PHI masking while preserving data utility for privacy‑compliant research.
The browser‑based application processes files entirely client‑side, with no data stored on Segmed’s servers. Users can upload sample data or test with built‑in demos and receive instant de‑identified results. For larger deployments or service inquiries, contact support@segmed.
Segmed user reviews
Based on 1 review, 100.0% of users recommend Segmed, rated highly for quality results.
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Segmed's key features
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De-identify medical data
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NLP and language models used
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No data saved or stored
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JavaScript required to run
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Free demonstration tool
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Sample data available
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Privacy-compliant de-identification
Segmed use cases
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Anonymize patient notes and lab results before sharing them with external collaborators, ensuring no PHI is exposed while maintaining data integrity for research
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Enable researchers to upload clinical trial datasets in the browser and instantly mask PHI, allowing rapid, privacy‑compliant analysis without server‑side storage
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Integrate the browser‑based de‑identification directly into EHR export workflows, automatically removing PHI before exporting datasets for academic publication
Who is it for?
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Healthcare analysts
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Healthcare engineers
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Compliance officers
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Privacy auditors
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Data scientists
