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L&L: Estimating 3rd Party Criticality and Materiality for the Board

Fri, Jul 11

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Zoom

“Lunch and Learn” with Shannon Lantzy, Ph.D., and Hubbard Decision Research’s Andrew Adams. We will present a method for estimating the criticality and materiality of availability (e.g., ransomware) risk arising from third parties. We'll use a practical example as a demonstration of the method.

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Time & Location

Jul 11, 2025, 12:00 PM – 1:00 PM EDT

Zoom

About the event


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Estimating Third Party Criticality and Materiality for the Board - Lunch and Learn


How do we anticipate and plan for the next Change Healthcare event?


Agenda

  • The case for improving third-party risk assessment

  • Scenario walk-through and demo

  • The case for improving risk estimation methods in your organization

  • Discussion, Q&A


Note: This is a closed event. Contact Shannon if you would like an invitation.


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. 


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

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