Why is it such a pain to get a patient quickly seen after being sent over by a referring provider? And why does every ‘AI’ demo look amazing but never seem to work in practice? This presentation explores this ‘Patient Processing Problem’, digs into the false promises of ‘AI’ and presents an alternative approach to addressing the inefficiencies with front-end servicing of patients, and how it’s leading to issues downstream. Attendees will gain insight into the structural causes behind slow patient transitions from diagnosis to treatment—by applying the principles of graph theory, linear algebra, and psychology (we promise not to get too nerdy). You’ll learn why popular AI and e-prescribe solutions have failed and how technology that respects the nuances of healthcare data can actually drive operational efficiency, alleviate workload, and ultimately reduce the “weighted graph” of the healthcare system.