Artificial Intelligence in Healthcare & Cybersecurity Risks
Speaker
Chad Brouillard, JD, MA
Chad Brouillard is a partner at the law firm of Foster and Eldridge, LLP in Massachusetts. Mr. Brouillard is a medical malpractice defense attorney and healthcare lawyer who has successfully defended numerous cases to trial. In addition to being a trial lawyer, Mr. Brouillard was on faculty at the Tufts University Department of Public Health and Community Medicine as an adjunct instructor for the Health Informatics and Analytics Division and creator of the Information Governance course for healthcare. He is an international speaker on AI liability, EHR liability, AI risks in healthcare, information governance, and healthcare technology liability for continuing medical education, continuing legal education and risk management programs, and has written numerous articles on the same topics. He holds licenses to practice law in Massachusetts, New Hampshire, New York as well as Federal Courts, including the United States Supreme Court. In 2023-2026, Attorney Brouillard was recognized as a “Best Lawyer” and “Top Lawyer” in Medical Malpractice Defense in the Boston area. He is the past president of the Massachusetts Society for Healthcare Risk Management (ASHRM state chapter), and current president of the Massachusetts Defense Lawyers Association.
Description
Artificial intelligence is rapidly transforming healthcare—enhancing clinical decision-making, streamlining documentation, and creating new opportunities to improve patient care. As AI becomes increasingly integrated into electronic health records, connected devices, and clinical workflows, it also introduces a new generation of cybersecurity, privacy, and liability risks. This presentation examines the evolving cyber threat landscape surrounding healthcare AI, including vulnerabilities involving sensitive patient data, third-party technologies, generative and agentic AI systems, and increasingly sophisticated cyberattacks. Attendees will explore practical strategies for mitigating these risks while maintaining the benefits of innovation.
Learning Objectives
At the end of the webinar, the participant should be able to:
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- Identify emerging AI cybersecurity risks – Recognize key cybersecurity, privacy, and data-integrity threats created or amplified by the use of generative and agentic AI in healthcare environments.
- Evaluate organizational and legal exposure – Understand how AI-related security failures involving patient data, third-party vendors, EHR integrations, and automated systems can create operational, regulatory, and liability risks for healthcare organizations.
- Apply practical risk-mitigation strategies – Identify concrete measures that can reduce cybersecurity risk while supporting responsible AIadoption.
Provider approved by the California Board of Registered Nursing, Provider number 12205 for 1 contact hour.
This meeting has been submitted for approval for 1 contact hour of Continuing Education Credit toward fulfillment of the requirements of ASHRM designations of FASHRM (Fellow) and DFASHRM (Distinguished Fellow) and towards CPHRM renewal.