Replica Analytics - An Aetion Company

Training Course: Practical De-Identification Methods for Health Data

Training Course: Practical De-Identification Methods for Health Data

To innovate, organizations need to leverage their data, but they face many challenges obtaining access to realistic datasets while at the same time preserving privacy in a manner consistent with contemporary regulations, for example, the HIPAA Expert Determination method and the GDPR. Join Replica Analytics, an Aetion company, in New York City for an in-person, interactive training course October 23 and 24, 2023, to increase your skills and knowledge of modern methods for anonymization. We’ll cover: structured data, including clinical trial datasets and real-world datasets; multiple practical data transformation techniques, such as risk-based methods and synthetic data generation; data-privacy risk measurement and management methods and exercises; and much more. The training course will be led by Dr. Khaled El Emam and Lucy Mosquera.

This course is intended for a general audience and does not require specific statistical or software background. There will be some technical content covered in the description of the methodology, but that will be relatively light. There will be quite detailed reference materials provided for those wishing to dive into the technical / mathematical background. Participants will get hands-on practice in assessing re-identification risk for sample datasets. It is suitable for:

  • privacy officers / professionals
  • analysts and analytics leaders who will be performing de-identification/anonymization
  • chief data officers responsible for a data business in their organizations
  • professionals working in health, life sciences and other sectors, as the concepts are highly applicable beyond the health sector

Are you a member of the International Association of Privacy Professionals? This course qualifies for 9.5 CPE credits. If you are an IAPP member, email and request your code for a $50 discount before registering.