A radiology department is a complex physical system that is continuously evolving. – just like planes, forests, and even the human body – with many interdependencies. Collecting and interpreting the massive amount of siloed, heterogeneous data manually is an impossible task. Instead, a digital twin continuously assimilates new data and updates the model to evolve with the physical system.

“A digital twin is a set of coupled computational models that evolve over time to persistently represent the structure, behavior, and context of a unique physical asset” -The Oden Insitute at UT Austin.

Beyond unlocking data, we are building a simulation engine to evaluate the impact of interventions (e.g., staffing change, operating hour changes, scanner purchase, …) at scale, in-silico, without the need for physical interventions. The world is waking up to the idea that many problems can be solved by unlocking data and applying a proactive engineering mindset instead of the old reactive approaches based on anecdotes and gut feeling. Quantivly aims to be the pioneer in bringing these tools to radiology operations to solve the urgent need of increased and sustained access to medical imaging