This document discusses the use of Bayesian statistical analysis and trial designs in healthcare technology. It provides four examples of how Bayesian methods can be used to reduce sample sizes, allow for earlier trial stopping, calculate predictive distributions, and perform meta-analyses. Bayesian designs offer advantages over traditional methods like reducing the number of patients needed in clinical trials. The document is intended to demonstrate the applications and benefits of Bayesian approaches for regulatory approval and clinical research.