TrialAssure Launches First-in-Class Document Anonymization Tool Using Machine Learning and Artificial Intelligence to Protect Patient Data TrialAssure

The announcement was made during the American Medical Writer's Association (AMWA) annual conference in San Diego, California. TrialAssure's newest addition to its transparency suite, ANONYMIZE R, is intended for reports and documents, and it gives users the ability to apply rules that substitute information, reducing the possibility of a reader identifying a clinical trial patient. Using a powerful risk algorithm builder, ANONYMIZE R generates a re-identification risk score and produces a risk assessment report, ensuring that the anonymized document meets an acceptable risk threshold. "When clinical trial data and documents are released to the public or research community, they are often prepared through different channels and at different times – leading to inconsistencies in the anonymization process. These inconsistencies limit the value of the information, because they reduce the ability for other researchers to effectively analyze all the available data," said Zach Weingarden, Product Solutions Manager, TrialAssure.