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 solution. Cross-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.
Florent Saint-Clair, Executive Vice President, Dicom Systems
Josh Baker, Technical Project Manager, Dicom Systems