clinDICOM AI

clinDICOM AI by Cloudbyz is a comprehensive DICOM data extraction and redaction solution designed to help healthcare organizations effectively manage and protect sensitive patient information. By combining advanced machine learning algorithms with a user-friendly interface, the platform enables precise, automated redaction of DICOM files while maintaining full regulatory compliance and operational efficiency.

The solution is purpose-built for healthcare professionals and clinical trial teams that need to handle medical imaging data securely. It supports the full redaction lifecycle — from rule configuration and intelligent analysis through to preview, finalization, and audit — giving organizations confidence that patient privacy is consistently upheld across their datasets.

Key Features

• DICOM Data Redaction: Enables targeted redaction by leveraging specific DICOM metadata including patient demographics, study information, and imaging modalities, allowing precise identification and removal of sensitive information within DICOM files.
• Customizable Redaction Rules: Users can define their own 3R rules — redact, replace, or remove — based on different DICOM attributes. Keywords or patterns can be specified to be handled consistently across an entire dataset, aligning the redaction process with organizational requirements and workflows.
• Intelligent Contextual Analysis: Advanced contextual analysis techniques powered by machine learning algorithms accurately recognize and protect sensitive data within DICOM files, ensuring patient privacy and data security without manual intervention.
• Audit Trail and Compliance: clinDICOM AI maintains a detailed audit trail that tracks all actions performed during the redaction process, providing a comprehensive record of changes made to DICOM files to support adherence to data privacy regulations and facilitate auditing processes.
• Redaction Preview: A built-in preview functionality allows users to review and verify redacted content before finalizing changes, reducing the risk of inadvertent data loss or errors and ensuring accuracy throughout the process.

Benefits

• Enhanced Data Privacy: Sensitive patient information is safeguarded through accurate redaction of specific DICOM metadata, ensuring data privacy and confidentiality.
• Time and Cost Efficiency: Automating the redaction process eliminates the need for manual methods, resulting in improved operational efficiency and significant cost savings.
• Accurate Redaction: Intelligent contextual analysis and advanced algorithms minimize the risk of data exposure by precisely identifying and redacting sensitive information.
• Redaction Verification: The preview capability allows users to confirm redacted content before changes are finalized, reducing errors and increasing confidence in the output.
• Streamlined Integration: The solution is designed to integrate seamlessly with popular cloud storage platforms including AWS S3, Google Cloud Platform (GCP), and Microsoft Azure, as well as any application or storage system, providing flexibility and control over clinical trial data.

Deployment and Compliance

• Cloudbyz holds ISO 9001:2015 and ISO 27001:2022 certifications, reflecting its commitment to quality management and information security standards.
• clinDICOM AI is part of the broader Cloudbyz ecosystem, which includes solutions such as CTMS, eTMF, EDC, RTSM, Safety & PV, and more, enabling cohesive integration across clinical operations.
• The platform is built to support regulatory requirements related to data privacy, making it suitable for organizations operating in highly regulated healthcare and life sciences environments.