Flashback Technologies uses advanced machine learning technologies to develop groundbreaking monitoring solutions that will provide better insight for caregivers and better outcomes for patients. Our growing patent portfolio will enable us to capitalize on the explosion of sensors in healthcare and in everyday life.
Steve Moulton, MD and Greg Grudic, PhD founded Flashback on a unique insight: there is a lot of actionable intelligence in streaming physiological health data that – if harnessed properly – could provide early warning of impending problems and thereby improve outcomes.
Powering all of Flashback’s products is our proprietary CipherSensor analytics engine. CipherSensor is extremely adept at analyzing large, noisy datasets of continuously streaming data, and making sense of that data. For example, The Compensatory Reserve analyzes arterial waveforms and compares them to known, previously quantified examples to provide a window into hemodynamic decompensation. The output of this analysis provides real-time, actionable information for caregivers.
CipherSensor uses all of the latest advanced machine learning techniques to build algorithms that are highly computationally efficient, in order for these algorithms to run on small, self-contained units (such as handheld devices) as well as being embedded in other monitoring solutions. CipherSensor was originally developed when Greg Grudic and Jane Mulligan, PhD, were working on autonomous robotics navigation programs for DARPA.
Flashback's name comes from what our algorithms do as they analyze incoming data - they efficiently "flash back" to the data library and create a usable value in real-time.