The authors propose a simulator that can generate benchmark datasets with causal relations based on patient diagnostic records. Expert from the field were involved to validate the simulator. Even though the simulations are moderately complex the simulator might be helpful to investigate causal inference methods. An empirical study compares few existing algorithms. For this purpose the simulator is distributed as python package.