Skip to content




All times in Central Time.

2:55-3:45 p.m.

Event Type

Share This Session

Share on facebook
Share on twitter
Share on linkedin
Share on email
Share on whatsapp

Using AI to Safeguard PHI Across Healthcare Organizations

Artificial Intelligence has become the newest “trend” for vendors and providers alike, but how do these technologies actually work? At this session, Andrew Rodriguez, Corporate Privacy and Information Security Officer at Shriners Hospitals for Children, and Dr. Daniel Fabbri, Vanderbilt University Assistant Professor of Biomedical Informatics and Computer Science and Founder & CEO of Maize Analytics, will provide an overview of how machine learning/AI systems function and make decisions. Mr. Rodriguez and Dr. Fabbri will review the functional differences of supervised vs. unsupervised AI, the advantages and limitations of these tools, and specific challenges within cybersecurity and privacy that health care providers can tackle with these algorithms.

Other industries have been early to adopt AI tools, providing healthcare organizations with lessons learned from the automotive and tech industries. The review of two specific use-cases will uncover the benefits of AI, but also illuminate the potential limitations and biases that can be an unintended consequence of these algorithms. Further, Mr. Rodriguez and Dr. Fabbri will share with attendees how to appropriately deploy and leverage AI technology to protect against these risks.

Healthcare data is shared, transmitted, and accessed by a myriad of different user roles, both internal and external. Provider IT and privacy teams need to leverage ways to automate work and identify the critical points where manual resources need to be replaced for their organization’s applications, databases, and endpoints. To help audience members with this automation, the presenters will review how the algorithms discussed can be used to tackle real-world privacy and cybersecurity challenges for hospitals and health systems.

Learner Outcomes

After completing this session, attendees will be able to:

• Describe the basics of machine learning and artificial intelligence systems to understand how these tools function for privacy and cybersecurity monitoring.
• Identify key risk areas where AI can be leveraged, including in the review of feeds to external vendors, user applications and backend databases.
• Understand real-world examples from the automotive and tech industries to prepare healthcare privacy and security officers in successfully deploying ML/AI solutions.


Daniel Fabbri, PhD
Maize Analytics Inc. Nashville, TN

Andrew Rodriguez, MSHI, HCISPP, CHPC, CHPS, CDP
Shriners Hospital for Children Tampa, FL
Play Video