Quantitative Risk Assessment: A Smarter Approach to Clinical Data Anonymization
In today’s clinical research landscape, openness and transparency in data sharing are essential for ethical integrity and scientific progress. Traditional data anonymization methods like redaction often rely on generalized rules or expert opinion, which can limit both privacy protection and data utility. Modern clinical trials are generating more data than before leading to rich, complex […]
