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De-Identification for AI Data Lakes

Basics of De-identifying Medical Images

 

Anonymize PHI in medical images and follow HIPAA Safe Harbor guidelines by ensuring you have a complete de-identification solutionCross-disciplinary research needs data sharing to assure its clinical validation. Can healthcare organizations avoid breaching HIPAA privacy rules and remove complex DICOM data objects? How can sensitive data like social security numbers, zip codes and the like be obscured, leaving raw data for research purposes?

This timely webinar details the requirements for meeting the HIPAA Privacy Act and how to construct a clean data pool for research consumption. Each data set will be impossible to use to identify an individual subject of the information. Dicom Systems also shares a recent customer’s successful experience with big data management. Beginning with de-identification and migration the journey proceeds on to creating an effective data pool

 

Speakers

Florent Saint-Clair, Executive Vice President, Dicom Systems

Josh Baker, Technical Project Manager, Dicom Systems