Robert Lord is the President and Co-Founder of Protenus, an analytics platform that leverages artificial intelligence to detect data breaches in healthcare. Protenus protects the nation’s top healthcare systems, ensuring trust for tens of millions of patients, and was named the 2016 International Association of Privacy Professionals’ Privacy Innovator of the Year.
Robert is a Fellow at New America and the Institute for Critical Infrastructure Technology, and teaches courses on entrepreneurship at Johns Hopkins. He has been named to the Baltimore Business Journal’s “Tech 10” and to Becker’s Hospital Review’s “Healthcare Entrepreneurs to Know.”
Before co-founding Protenus, Robert was an MD candidate at the Johns Hopkins University School of Medicine. Robert received his A.B. in Social Studies, magna cum laude, from Harvard University.
A person’s medical record can be sold for ten times what their credit card goes for on the black market, making it a common target for attacks. This session takes you through a Johns Hopkins Case Study and their journey to implement privacy analytics. This practical application of AI resulted in a highly accurate model that reviewed every access to patient data and detected when the EHR was potentially exposed to a privacy violation, attack, or breach. Specific techniques, including supervised and unsupervised machine learning and explainability of AI techniques, advanced Johns Hopkins toward their current state—a predictive, analytics-based, collaborative privacy analytics infrastructure.
This session will enable users to:
- Define the cultural shift and identify stakeholders critical to a privacy analytics implementation
- Describe how to measure privacy and security outcomes
- Identify methods for demonstrating privacy and security ROI