Leveraging Simple Models to Uncover Hidden Assumptions in Medical Device Development

Professionals new to modeling often assume that comprehensive, fully validated models are needed to solve most engineering challenges. While such models may be essential for model-based verification and regulatory submissions, they are not always necessary—or even optimal—during early stages of problem-solving. This webinar presents a pragmatic approach: using simple, intentionally reduced models to gain insight, test assumptions, and identify conceptual errors early in the design process. Through a concrete example, learn how a basic model revealed a subtle but critical flaw in reasoning, despite the problem appearing straightforward at first glance.

The presentation encourages a shift in mindset toward viewing models not only as tools to replicate the behavior of physical systems but as instruments for thinking, exploration, and communication. Watch and learn how lightweight modeling can accelerate development, reduce risk, and deepen system understanding in medical device applications.