Yuval Lirov

Yuval is passionate about helping practice owners treat more patients and grow their practices faster. He applies Lean Six Sigma principles to automate business knowledge and embed analytics in both software and service. This approach pioneered an all-in-one practice management system, including knowledge-based management of insurance claims and rapid EHR systems.

Yuval’s specialty is knowledge-based software systems. Initially, his research focused on applying Artificial Intelligence to air-to-air combat and rapid numeric solutions of nonlinear differential systems. Upon earning his PhD in Systems Science and Mathematics at Washington University in St. Louis in 1987, Yuval began his career at AT&T Bell Labs, where he built Machine Learning software for telecommunications and digital circuit manufacturing. Later he developed Straight Through Processing systems on Wall Street, and eventually transitioned his work into the healthcare practice management and insurance billing.