Segmed DeID is a free, web-based tool designed to remove protected health information (PHI) from text-based medical reports. By leveraging advanced large language models (LLMs), it identifies and redacts both direct and indirect patient identifiers, ensuring compliance with privacy standards.
This tool is particularly beneficial for researchers and developers in medical AI, facilitating the use of high-quality, anonymized data for training and validation purposes.
The user-friendly interface allows for easy input of medical text, providing de-identified outputs without storing any user data. While it serves as a valuable resource for understanding de-identification processes, it’s intended for demonstration purposes and not for production-level PHI removal.
Segmed encourages users to test the tool and provide feedback to enhance its functionality and effectiveness.
