Uri Kartoun presenting<unk>  at Stanford University, Feb. 2019.<unk>  are experimental artificially generated electronic medical records (EMRs). The aim of<unk>  is to allow non-commercial entities (such as universities) to use the artificial patient repositories to practice statistical and machine-learning algorithms. Commercial entities can also use the repositories for any purpose, as long as they do not create software products using the repositories. A letter published in Communications of the ACM emphasizes the importance of using synthetic medical data, "...<unk>  can generate a synthetic patient population of any size, including demographics, admissions, comorbidities, and laboratory values. A synthetic patient has no confidentiality restrictions and thus can be used by anyone to practice machine learning algorithms."
EMRBots
HeRAMS
E-SCREEN
OHVIRA
Tcelna
Pro-ana
FCM 
DCAP-BTLS