TrialAssure Launches First-in-Class Document Anonymization Tool Using Machine Learning and Artificial Intelligence to Protect Patient Data
Canton, Mich. (November 7, 2019) – TrialAssure® – a leading, global software company advancing clinical trial transparency tools – announced today the limited release of ANONYMIZE R, a first-in-class document anonymization software that uses machine learning, natural language processing, and artificial intelligence (AI) to protect patient privacy by automatically finding and removing personal information from text. 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. “ANONYMIZE R solves this problem by allowing users to apply the same techniques to all clinical trial outputs, taking a holistic approach that ensures both consistency and efficiency. Aligning with regulatory guidelines, it drives its effectiveness with sophisticated, modern technology – replacing the age-old manual redaction process.”
How it works
Through machine learning and AI, TrialAssure ANONYMIZE R uses natural language processing to extract information whenever text is transformed, and feeds this data into powerful machine learning algorithms. In doing so, ANONYMIZE R improves over time in identifying where and how text should be replaced. Before finalizing changes, users are encouraged to review all suggested anonymizations within its flagging system.
“The only efficient way for organizations to meet the upcoming anonymization regulations is to use the latest technology with machine learning and AI functionality that learns your company preferences in real time,” said Mohamad Zahreddine, Chief Information Officer of TrialAssure, and member of the Forbes Technology Council. “Major global health authorities are beginning to ask that clinical documents be anonymized. Using ANONYMIZE R allows sponsors and researchers to meet these requests in a tech savvy, but budget-friendly, manner.”
Additionally, ANONYMIZE R leverages rules and machine learning applied from TrialAssure’s data anonymization module, ANONYMIZE DS, when both applications are implemented together.
ANONYMIZE R is now available for limited release to pharmaceutical companies, universities, and clinical research organizations. Potential users that want to stay in front of global anonymization regulations can request a demo of ANONYMIZE R at www.trialassure.com.