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"Mitigating Information Asymmetry in Liver Allocation" by Prof. Andrew J. Schaefer

Event information
Innovation and Information Management
Thursday, 14 March 2019
KK 1301, K.K. Leung Bldg
  • 2:30pm - 4:00pm


  • Professor Andrew J. Schaefer
    Noah Harding Chair and
    Professor of Computational and Applied Mathematics
    Rice University


Abstract :

In accordance with the National Organ Transplant Act (NOTA), which requires the efficient and equitable allocation of donated organs, the United Network for Organ Sharing (UNOS) prioritizes patients on the liver-transplant waiting list within given geographic areas based mainly on their most recently reported health status. Accordingly, UNOS requires patients to update their health status at a frequency that depends on their last reported health status. However, patients may elect to update any time within the required timeframe, which creates opportunities to game the system, leading to information asymmetries between UNOS and the patients on the waiting list. This information asymmetry can be alleviated through more frequent updating requirements, but at the price of an increased update burden (e.g., data collection costs and patient inconvenience).

We propose a model that determines health reporting requirements that simultaneously minimize these two (possibly conflicting) criteria, i.e., inequity due to information asymmetry and update burden. Calibrating the model with clinical data, we examine (1) the degree to which an individual patient can benefit from the flexibility inherent to the current health reporting requirements, and (2) alternative recommendations that dominate the current requirements with respect to the two criteria of interest.