Manually scrubbing transcripts is time-consuming and error-prone. In this session, we'll show you how De-ID handles the heavy lifting — stripping identifying information from interview transcripts quickly and accurately so you can move straight to analysis. Ideal for researchers working under HIPAA, IRB, or institutional data privacy requirements.

What You'll Learn

• How De-ID identifies and removes names, locations, institutions, rare diseases and other potential identifiers from your data
• How to review, adjust, and /or add identifiers before downloading your anonymized file
• How the credit-based system works and how to estimate usage for your project
• How De-ID fits into your existing workflow alongside tools like Dedoose and transcription platforms

Tips to Prepare

• Create a free account (de-idapp.com)
• Have a sample transcript handy — following along with your own data makes the demo more useful
• Think about the types of identifiers most common in your interviews (participant names, facility names, geographic details) so you can ask targeted questions
• If your work involves specific compliance requirements (HIPAA, IRB, institutional policy), note any anonymization standards you need to meet — we'll address these in the session
• No technical setup required. De-ID is a web-based app that runs in your browser

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We hope to see you at the next session!

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