Session ID: 

Artificial Intelligence Helps Put Privacy on Autopilot

11:30am - 12:30pm Thursday, February 14
Orlando - Orange County Convention Center


It’s a dynamic time for automation in healthcare, leading the privacy team at Johns Hopkins Health System (JHHS) to explore how it might apply automation to enable full visibility into its privacy threat landscape and effectively target its most serious threats to patient privacy. By putting “privacy on autopilot,” the team can focus on its highest-value work and improve its procedure for completing necessary albeit time-consuming tasks that address low-risk threats. The speakers will share two ways the team uses automation today: AI-powered privacy monitoring and re-education procedures for employees who violate privacy policy around accessing family member records. They will discuss how these projects have significantly improved the organization’s ability to protect patient privacy overall.

Learning Objectives: 

  • Recognize how Johns Hopkins Health System transitioned from a reactive to proactive privacy monitoring approach by implementing a clinically-aware and AI-enabled platform that brings together data from many disparate sources and allows them to zero in on true threats to patient privacy
  • Describe the difficulty that Hopkins experienced with resolving high-volume, low-risk cases of family member privacy violations and how they implemented procedures that allowed them to automate policy oversight and re-educate at scale
  • Demonstrate the measurable impacts that this automated approach had on resolving these cases and, more importantly, how it is supporting an effort to reduce future policy violations


Privacy Officer,
Johns Hopkins Health System
Practice Group Leader & Chief Legal Counsel,
Johns Hopkins Health System


Information Management Professional