Segmed (Web Development)
Screenshot of Segmed

Segmed

Segmed's De-Id Playground is a web-based demo that uses language models to remove personally identifiable information from sample data.

Screenshot

What is Segmed?

Segmed offers a web-based demonstration tool called the De-Id Playground. It showcases Segmed’s de-identification service, which uses language models to remove personally identifiable information from sample data. You can input your own sample data to see how well the de-identification performs, and a “clean the data” feature lets you sanitize it further.

The tool is strictly for demonstration — it should not be used to remove PHI in a production environment. Segmed states that no data is saved or stored after your testing session. The De-Id Playground runs in the browser with JavaScript enabled and requires no installation. Segmed built the site using Create-react-app.

Who created Segmed?

Segmed was founded by a founder whose name isn’t publicly shared. The company provides de-identification services, with the De-Id Playground serving as its main demonstration tool.

Who is Segmed for?

The De-Id Playground is relevant to professionals and students who work with sensitive data and want to understand de-identification, including:

  • Healthcare professionals
  • Data scientists
  • Researchers
  • Data analysts
  • Students
  • Medical researchers
  • Healthcare IT professionals

Anyone handling sensitive data who needs to explore privacy-protection methods may find Segmed’s offerings useful.

How to use Segmed?

  1. Access the De-Id Playground at Segmed’s website.
  2. Input your own sample data to see how the language-model-based de-identification performs.
  3. Use the “clean the data” feature for further sanitization.
  4. Keep in mind the tool is demo-only — do not use it for removing actual PHI in production settings.

For more details about Segmed’s de-identification services, visit their website or email [email protected]. Feedback and questions about the De-Id Playground are welcome.

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