Robert Macdougall

Quantivly is building AI for imaging operations, not clinical diagnosis. Radiology departments operate in the same way airlines did in 1981, with no access to operational data such as jet engine performance, wind statistics, etc.  Similarly, imaging facilities today critically lack access to operational data to manage their multi-million-dollar MRI scanners, leading to a true operational black hole and decisions based on gut feeling instead of data. The Quantivly platform analyzes, cleans, and harmonizes scanner data to build the first queryable, vendor-neutral, highly granular source of knowledge about operations. It is not just about what was scheduled; it is also about what really happened on your scanners. Quantivly further leverages AI to augment the information and capture data previously unavailable, including repeat detection, image quality quantification, and smart recommendations. Armed with data, leaders can justify MR operations decisions, capital purchases, staffing needs, workflow changes and quantify the success of their decisions and interventions with metrics. AI promised to revolutionize diagnosis in Radiology, but adoption has been slow with minimal impact on patient care in many clinical scenarios. Quantivly instead focuses on an urgent problem of discovering operational patterns and help optimize operations, increase patient access, and improve patient satisfaction. We unlock a new world of data analytics for imaging facilities. And this is just the beginning. We have an exciting roadmap.