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Capacity decisions and revenue sharing in a telemedicine healthcare system

Author

Listed:
  • Liangliang Sun

    (Northeastern University)

  • Miao Yu

    (Shenyang Jianzhu University)

  • Fenghao Wang

    (Shenyang Jianzhu University)

Abstract

This paper studies the operations of a telemedicine service system consisting of independent hospitals [general hospital (GH) and telemedicine firm (TF)]. Through the healthcare alliance, the GH and the TF collaborate in capacity decisions and revenue sharing, and establish a green channel to refer patients. We adopt a two-stage game model to study a revenue sharing scheme of the telemedicine healthcare alliance. In the first-stage the game, the GH and the TF negotiate a revenue-sharing ratio to distribute the revenue of the referred patients. In the second stage game, given the profit-sharing ratio, GH makes capacity allocation decisions, and TF determines its own price to maximize its own revenue. Results show that the revenue sharing scheme can increase profits and promote collaboration between GH and TF. When a large number of mild patients arrive at the GH, the GH tends to participate in the alliance. For the TF, high prices do not always yield high profit under the comprehensive influence of the alliance.

Suggested Citation

  • Liangliang Sun & Miao Yu & Fenghao Wang, 2023. "Capacity decisions and revenue sharing in a telemedicine healthcare system," Journal of Combinatorial Optimization, Springer, vol. 46(5), pages 1-23, December.
    • Handle: RePEc:spr:jcomop:v:46:y:2023:i:5:d:10.1007_s10878-023-01095-6
    DOI: 10.1007/s10878-023-01095-6
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    References listed on IDEAS

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