Estimating Third-Party Cybersecurity Risk for Health Systems
Fri, Dec 12
|Zoom
This “Lunch and Learn” presents an improved method for estimating third-party cybersecurity risk for health systems (e.g., ransomware attacks on ecosystem suppliers) assessment, and incorporates it into better strategic decisions.
Time & Location
Dec 12, 2025, 11:00 AM – 12:00 PM EST
Zoom
About the event
Dramatically Improving Third-Party Cybersecurity Risk Assessment for Health Systems
How do we anticipate and plan for the next Change Healthcare event?
Agenda
The case for improving third-party risk assessment
The case for improving risk estimation methods in your organization
One of one substitutions of risk matrics
Discussion, Q&A
About the Speakers
Shannon Lantzy is focused on getting healthcare market innovation - getting solutions faster, better, cheaper, and with more delight along the way. Specifically, we're aiming to improve third party risk assessment for healthcare stakeholders (e.g., hospitals, regulators). Dr. Lantzy has spent 20+ years consulting in R&D for NASA, FDA, and medical device manufacturers. Her Ph.D. research and academic publications center around the economics of information asymmetry, behavioral economics, and consumer decision-making under uncertainty.
Sara Eggers is a decision scientist with over 20 years of methodological expertise and 13+ years FDA regulatory experience. Dr. Eggers spent 5 years as Director of FDA Center for Drugs’ Decision Support and Analysis Staff. Her experience spans regulatory decision-making, pharmaceutical benefit-risk assessment, patient-focused drug development, food and drug safety, and the landscape of problematic substance use.
Andrew Adams is the CEO of Hubbard Decision Research. Hubbard Decision Research has developed quantitative analysis solutions to Information Technology investments, military logistics, entertainment media, major policy decisions, and business operations. Customers range from small businesses to Fortune 500 companies. A range of organizations that need to measure the immeasurable and make big decisions without perfect information have been using the methods of Doug Hubbard since 1997.
The solutions developed by Hubbard Decision Research are both practical and scientifically validated. They have been applied to problems like:
Business cases for investments with many uncertain and intangible benefits
Quantitative analysis solutions to risk analysis and risk management
Performance metrics that are based on objective measures and selected for measurable impacts on decisions