Optimal Staffing Policy and Telemedicine

Optimal Staffing Policy and Telemedicine
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最佳人员配备政策和远程医疗

DOI:
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发表时间:
2007
期刊:
Americas Conference on Information Systems
影响因子:
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通讯作者:
Zafer D. Özdemir
Zafer D. Özdemir
中科院分区:
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文献类型:
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作者:
Hakan Tarakci;M. Sharafali;Zafer D. Özdemir

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本文研究专科医院通过专家提供传统的面对面会诊和通过远程专家提供远程医疗服务的最优策略。我们将整个系统建模为排队问题,并通过考虑各种成本成分,如人员配备、虐待和等待,为这家医院提供最优的人员配备策略。我们还找到了在远程医疗服务的质量和准确性与技术成本之间提供最佳权衡的远程医疗技术的最佳投资。在某些情况下,医院不提供任何远程医疗服务。当它这样做的时候,它可能会也可能不会投资于可用的最先进技术。最后,我们提供了最优的远程专科医生策略,即哪些患者通过远程医疗进行远程治疗,哪些患者转诊给专家进行面对面咨询。我们表明,通过远程医疗治疗所有患者的政策从来都不是最优的。
In this paper, we study the optimal strategy of a specialty hospital in providing traditional face-to-face consultations via experts and remote medical services via tele-specialists. We model the whole system as a queuing problem and provide the optimal staffing policy for this hospital by taking into account the various cost components, such as those for staffing, mistreatment, and waiting. We also find the optimal investment in telemedicine technology that offers the best trade-off between the quality and accuracy of telemedicine services and the cost of technology. Under certain conditions, the hospital does not offer any telemedicine services. When it does, it may or may not invest in the most advanced technology available. Finally, we provide the optimal tele-specialist policy of which patients to treat remotely via telemedicine and which patients to refer to the experts for a face-to-face consultation. We show that a policy of treating all patients via tele-medicine is never optimal.