Transplantation is the only treatment for end-stage liver disease, the twelfth-leading cause of death in the U.S. The U.S. liver allocation system induces information asymmetry, as patients are only required to update their health within certain prescribed time windows. This might lead to a misallocation of livers. Another concern is “update burden” – while requiring daily updates would eliminate the information asymmetry, it would be highly inconvenient for the patients. We present a multi-objective stochastic program to simultaneously mitigate information asymmetry and update burden. We calibrate our model with clinical data and provide a set of Pareto-optimal health reporting requirements.