We consider an MRI scanning facility, run by a Radiology department, with limited capacity. Several medical departments compete for capacity, and have private information regarding their demand for scans. The fairness of the capacity allocation by the Radiology department depends on the quality of the information provided by the medical departments. We employ a generic Bayesian Game approach that stimulates the disclosure of true demand (truth-telling), so that capacity can be allocated fairly. We derive conditions under which truth-telling is a Bayesian Nash Equilibrium. The usefulness of the approach is illustrated with a case study.
|Place of Publication||Enschede|
|Publisher||University of Twente, Department of Applied Mathematics|
|Number of pages||16|
|Publication status||Published - 3 May 2010|
|Name||Memorandum / Department of Applied Mathematics|
|Publisher||Department of Applied Mathematics, University of Twente|
- Capacity allocation
- Game Theory
- Private information
- OR in Health Services
Zonderland, M. E., & Timmer, J. (2010). Optimal allocation of MRI scan capacity among competitive medical departments. (Memorandum / Department of Applied Mathematics; No. 1920). Enschede: University of Twente, Department of Applied Mathematics.