Segmed
Segmed's De-Id Playground is a web-based tool that allows users to experience how Segmed's de-identification service works. The tool employ...
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What is Segmed?
Segmed's De-Identification Playground (deid.segmed.ai) is a free, web-based demo tool that uses large language models (LLMs) to automatically remove protected health information (PHI) from text-based medical reports. The tool leverages OpenAI's davinci model to identify and redact both direct identifiers (patient name, phone number, medical registration number) and indirect identifiers (patient sex, date of birth, hospital, ZIP code), producing a de-identified version of the original input that is HIPAA compliant.
Key features include visible PHI detection where redacted identifiers are tagged and classified for transparency, a user-friendly web interface requiring no API integrations or coding, automatic contextual preservation that maintains the original structure and flow of the text, and a privacy-focused approach where no user data is stored or saved. The tool processes data within the browser without transmitting sensitive information.
This tool is designed for demonstration, educational, and testing purposes only. It is intended for healthcare organizations exploring de-identification techniques, developers testing models on custom data, students and researchers learning about healthcare privacy and NLP, and anyone interested in testing de-identification feasibility for text-based use cases. The tool is strictly not meant for production PHI removal.
The playground serves as a prototype to showcase Segmed's LLM-based de-identification capabilities. Future iterations will support batch operations (uploading CSV files of text data) and more customized data redaction options. Users interested in production-level de-identification as a service can contact Segmed at [email protected] or [email protected].
Segmed pricing
Pricing model: Free
The De-Identification Playground at deid.segmed.ai is completely free-to-use with no logins required and no usage limits. There are no paid plans for this demo tool. For enterprise-level de-identification services, custom integrations, or dedicated production PHI removal, users can contact Segmed at [email protected] or [email protected] to explore De-identification as a service.
Segmed pros
- Free-to-use with no logins required
- No usage limits on de-identification requests
- Uses OpenAI davinci model for accurate PHI detection
- Removes both direct and indirect identifiers
- Redacted identifiers are tagged and classified for visibility
- Produces HIPAA compliant de-identified output
- No user data is stored or saved
- All processing occurs within the browser
- Intuitive web interface, no coding required
- Preserves original text context and readability
- No API integrations needed
- Accessible for learning about de-identification
- Quick de-identification of small text samples
- Useful for testing custom de-identification models
- Demonstrates Segmed's production de-id service capabilities
- Privacy-focused with no data transmission
- Sample data and educational resources available
Segmed cons
- Strictly for demo purposes only, not production use
- Does not support batch operations or CSV uploads
- Only handles text-based medical reports, not images
- Cannot process DICOM metadata or pixel data
- No customized data redaction options available
- Requires human review for accuracy verification
- Effectiveness depends on LLM model quality
- Not suitable for large datasets
- Audio recordings cannot be de-identified
- No dedicated support for demo users
Frequently asked questions about Segmed
What is Segmed's De-Identification Playground?
Segmed's De-Identification Playground is a free, web-based demo tool that uses large language models (LLMs) to automatically remove protected health information (PHI) from text-based medical reports. It leverages OpenAI's davinci model to identify and redact both direct and indirect identifiers, producing a HIPAA compliant de-identified version of the original input.
Is this tool suitable for production PHI removal?
No, this tool is strictly for demonstration purposes only and is not intended for production PHI removal. It is a prototype designed to showcase Segmed's LLM-based de-identification capabilities. For production-level de-identification services, users should contact Segmed at [email protected] to explore De-identification as a service.
What types of identifiers does the tool remove?
The tool removes both direct identifiers (patient name, phone number, medical registration number/MRN, etc.) and indirect identifiers (patient sex, date of birth, hospital, postal/ZIP code, etc.). Direct identifiers are removed entirely, while indirect identifiers are also redacted since combinations of multiple indirect identifiers could potentially lead to patient re-identification.
Does Segmed store or save the data I upload?
No, Segmed does not store or save any user data from this tool. No input or output data is stored or saved, and all processing occurs within the browser, ensuring that no sensitive information is transmitted. This privacy-focused approach provides a secure environment for testing and experimentation.
What types of data can I de-identify with this tool?
The tool currently only handles text-based medical reports. It cannot process images (DICOMs), audio recordings, or other data types. The platform focuses specifically on de-identifying textual data, and the functionalities are not suitable for images, pixel data, metadata in DICOMs, or audio recordings.
How does the tool show me what PHI was detected?
The tool provides visibility into detected PHI by tagging and classifying redacted identifiers. Users can view PHI detected in their inputted data, as any redacted identifiers are tagged and classified for transparency. This allows users to understand what information was identified and removed.
Do I need to log in or create an account to use this tool?
No, the De-Identification Playground is available for free with no logins required and no usage limits. Users can simply access the tool at deid.segmed.ai and paste or type their sample text containing PHI into the user-friendly interface without any authentication.
Will the de-identified text still be readable and meaningful?
Yes, the tool preserves contextual integrity. The redacted text retains its original structure and flow, ensuring that the de-identified data remains valuable and meaningful for further use. The tool automatically replaces identified PHI while maintaining the context and readability of the text.
What future features are planned for this tool?
Future iterations of this prototype will allow users to conduct batch operations, such as uploading a CSV of text data they would like de-identified, as well as perform more customized data redaction. Segmed is also excited to further incorporate LLM tools and techniques into their existing de-id toolset.
How can I provide feedback or ask questions about this tool?
Users are encouraged to test the tool and provide feedback either via email at [email protected] or through the survey on the site. For questions, concerns, or areas for improvement, users can get in touch with Segmed at [email protected] or [email protected], especially if interested in production de-identification services.