Segmed website

Try Segmed

What is Segmed?

The de-identification playground provided by Segmed is an AI tool that allows users to remove personally identifiable information (PII) from healthcare data. The tool is specifically designed for de-identifying sample data, using a method called limited local maximum suppression (LLMS) to remove PHI.

It can be used for demonstration purposes as well as in production for PHI removal. If users are interested in using the de-identification service, they can reach out to [email protected]. The tool stores the cleaned data on segmed.ai, ensuring data privacy.

đŸ”Ĩ Promote this tool

⭐ Core features & benefits

Segmed offers a variety of features and benefits that make it a top choice for a variety of use cases. These are some of the key features:

  • ✔ī¸ De-identify sample data
  • ✔ī¸ Demonstration purposes
  • ✔ī¸ Remove phi using limited local maximum suppression (llms)
  • ✔ī¸ Can be used for production de-identification
  • ✔ī¸ Data can be stored on segmed.ai

⚙ī¸ Use case ideas for Segmed

  1. Demonstration of de-identification.
  2. Production-level PII removal from text before sending or processing.
  3. Helping with data privacy assurance by removing personal information from text.

🙋‍♂ī¸ Users who use this tool

Segmed is used by many user groups, including but not limited to some of the following:

Healthcare data analysts
Healthcare data engineers
Healthcare compliance officers
Healthcare data privacy officers

ℹī¸ Find more

In summary Segmed's de-identification playground is an AI tool that removes personally identifiable information from healthcare data using limited local maximum suppression (LLMS) and stores the cleaned data on segmed.ai.

You can also find more information,get support and follow Segmed on:

How do you rate Segmed?

5 0 ratings

Breakdown 👇

Segmed is not rated yet, be the first to rate it
đŸ”Ĩ

Create your account, save tools & get personal recommendations

Receive a weekly digest of our handpicked top tools.
Unsubscribe anytime

🔎 Segmed Alternatives