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Optimal allocation of MRI scan capacity among competing hospital departments

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  • Zonderland, Maartje E.
  • Timmer, Judith

Abstract

We consider an MRI scanning facility run by a Radiology department. Several hospital 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 hospital 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 numerical example.

Suggested Citation

  • Zonderland, Maartje E. & Timmer, Judith, 2012. "Optimal allocation of MRI scan capacity among competing hospital departments," European Journal of Operational Research, Elsevier, vol. 219(3), pages 630-637.
    • Handle: RePEc:eee:ejores:v:219:y:2012:i:3:p:630-637
    DOI: 10.1016/j.ejor.2011.10.036
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    References listed on IDEAS

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    Cited by:

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    2. Nguyen, Hong Ngoc & O’Donnell, Christopher, 2023. "Estimating the cost efficiency of public service providers in the presence of demand uncertainty," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1334-1348.
    3. Yang, Xiaopeng & Zheng, Danheng & Sieminowski, Tammy & Paradi, Joseph C., 2015. "A dynamic benchmarking system for assessing the recovery of inpatients: Evidence from the neurorehabilitation process," European Journal of Operational Research, Elsevier, vol. 240(2), pages 582-591.

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