Join us Tuesday, August 1st at 11am (EST) for a webinar on how to efficiently de-identify complex multi-model datasets in accordance with HIPAA.
Most health data is multi-model, with both structured and unstructured (text) components. Great value can be generated by analyzing and learning from both types of information. To be able to share and reuse such complex data, it is necessary to meet the requirements of the HIPAA Expert Determination Method, organizations must implement robust de-identification methods that preserve data utility while safeguarding patient privacy. This webinar will explore the intricacies of de-identifying complex datasets, providing valuable insights and practical examples.
Presenters include Patricia Thaine (Co-Founder & CEO, Private AI), and Lucy Mosquera (Sr. Director of Data Science, Replica Analytics).
It is suitable for: Data Analysts, Epidemiologists, ML Engineers, Developers, Chief Privacy Officers, Chief Legal Officers, Chief Data Officers, Chief Product Officers, Chief Information Security Officers