The purpose of this session is to introduce quantitative financial and qualitative frameworks to facilitate effective decision making when managing radiology practices, particularly within the context of a large healthcare organization, where radiology must compete for resources. Because there are many uncertainties when projecting future performance, the learners will be introduced to stochastic modeling using Monte Carlo Simulation to enhance the effectiveness of financial models and better understand both upside and downside risks. Sources of cognitive biases will be discussed and a framework presented to help decision makers recognize biases and facilitate decisions that are aligned with broader organizations priorities. Finally, the role of the radiologist as an expert consultant and advocate for imaging services with the hospital requires finesse and planning. Effective engagement in this critical role will be discussed with case examples. Developed in conjunction with Radiology Leadership Institute.
Discuss the fundamental differences and commonalities between IR and DR in terms of medicolegal risk.
Describe procedure-related findings commonly missed on diagnostic imaging studies that have clinical and medicolegal implications.
Review procedural techniques and the supportive roles of diagnostic radiologists to help avoid, identify, and manage IR complications.