Accelerating Retrospective Image Collection with Enhanced PHI De-identification

In retrospective imaging studies, sites are typically responsible for manually anonymizing images before transfer, causing delays of up to two weeks per request. This can prolong the data collection timeline and introduce inconsistencies in de-identification across sites. This also produces regulatory risk and an increased burden on clinical sites. Implementing an automated PHI de-identification module integrated within the imaging platform allows for real-time removal of protected health information (PHI) while preserving essential imaging metadata. 3 key questions that are answered in this video: 1) What role do DICOM headers play in imaging, and what kind of Protected Health Information can be found within them? 2) What is a retrospective vs. a prospective study, and what unique challenges do sites face when participating in these types of studies? 3) How can turnaround time be reduced and processes streamlined for efficient collection of images in all stages of clinical trials? Featured speakers: Sally Asad, Oncology Project Manager at MERIT Alyssa Bartholomew BS R.T. (R)(CT)(MR), Oncology Imaging Quality Control Specialist II at MERIT Moderator: Satej Bhogill, Oncology Associate at MERIT Learn more about MERIT's oncology solutions on our website https://meritcro.com/oncology-lp?utm_...