Publication Type
Journal Article
Version
acceptedVersion
Publication Date
12-2020
Abstract
This study investigates the operations of a healthcare alliance, where two types of independent hospitals [general hospitals (GHs) and community healthcare centers (CHCs)] collaborate in capacity allocation and revenue management to improve efficiency and revenue. Specifically, the GH allocates part of its capacity to establish a dedicated green channel for referral patients from the CHC based on a negotiated revenue sharing scheme. Generally, independent hospitals, like GHs and CHCs, in the healthcare delivery system provide complementary and substitute services due to the referral process and patients choice. Both service providers need each other, and their collaboration is very beneficial to their own market share. We propose a two-stage game-theoretic approach to study the optimal incentive and coordination mechanisms of the healthcare alliances. In the first-stage cooperative game, two providers negotiate fixed proportion rates to share the revenue from referral patients. In the second-stage non-cooperative game, the GH makes the capacity allocation decision and the CHC decides the treatment threshold to maximize their own revenues. We derive a revenue-sharing scheme that is efficient, in the sense that the decentralized system can achieve the same revenue as the situation where a a central planner manages the alliance. When the capacity of the CHC and the number of patients visiting the CHC for the first diagnosis is large enough, the CHC is willing to take more efforts to treat more patients with alliances. In our study, simulation is employed to analyze the characteristics of the healthcare alliances as a supplement of theoretical analyses and a verification of the revenue-sharing scheme’s feasibility and efficiency. The equilibrium decisions obtained through simulation provides suggestions of much practical value for the operation of healthcare alliances.
Keywords
approximate dynamic programming, large-scale MDP, uncrewed aerial vehicles, dispatching, simulation
Discipline
Health and Medical Administration | Operations and Supply Chain Management
Research Areas
Operations Management
Publication
Flexible Services and Manufacturing Journal
Volume
32
Issue
4
First Page
829
Last Page
851
ISSN
1936-6582
Identifier
10.1007/s10696-019-09356-5
Publisher
Springer
Citation
GAO, Xiaoquan; WEN, Jianpei; and SONG, Jie.
Capacity allocation and revenue sharing in healthcare alliances. (2020). Flexible Services and Manufacturing Journal. 32, (4), 829-851.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/7665
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1007/s10696-019-09356-5
Included in
Health and Medical Administration Commons, Operations and Supply Chain Management Commons
