What is Segmed?
Segmed De-ID leverages advanced artificial intelligence to automate the de-identification of medical data, a critical process for protecting patient privacy while enabling valuable medical research and secondary uses of data. The tool is designed to handle various data types, including clinical notes, radiology reports, medical images (DICOM), and structured and unstructured text. It accurately detects and removes or obscures protected health information (PHI) such as names, dates, addresses, social security numbers, and other identifiers. Segmed's AI models are trained on diverse medical datasets to achieve high accuracy and minimize false positives/negatives. The platform offers an easy-to-use interface, supports batch processing, and integrates with existing workflows via API. It provides customizable de-identification rules to meet specific regulatory and organizational requirements. By streamlining compliance, Segmed accelerates research, facilitates data sharing, and supports the development of AI models in healthcare. The tool is free to use, making it accessible to startups, academic institutions, and individual researchers.
Use Cases
Key Features
AI-powered automatic de-identification Supports DICOM images clinical notes and structured data High accuracy PHI detection and redaction Real-time processing with batch capabilities Customizable rules and compliance settings API integration for seamless workflowWho is it for?
Healthcare organizations, medical researchers, AI developers, and data scientists working with sensitive medical data.
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