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Follow-up-rate Decision for Virtual and Office Appointments in Chronic Care

机译:在长期护理中的虚拟和办公室约会的跟进决定

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Patients suffering a chronic disease often require regular appointment and treatment. Due to the constraints on the availability of office appointments and the capacity of physicians, access to chronic care can be limited; consequently, patients may fail to receive the recommended care suggested by clinical guidelines. Virtual appointments can provide a cost-effective alternative to traditional office appointments for managing chronic conditions. However, it is important and challenging to fully integrate the virtual appointments with the office appointments. One of the important decisions for this integration is the determination of the follow-up rate. Follow-up rate, which is the frequency of patient appointments, is significant for both patients and clinics. A good follow-up rate leads to the efficient use of the physicians' time and the controlled health status for patients. It is also challenging to determine the efficient follow-up rate. Hence, in this study, we consider the integration of virtual and office and appointments in chronic care setting and build the mathematical model to investigate the optimal follow-up rates for both virtual and office appointments. In this work, we develop an open migration network to simulate the patients flow in the clinic system. With the model developed, decisions for the follow-up rate of the office and virtual appointments can be made more systematically.
机译:患有慢性病的患者通常需要定期预约和治疗。由于对办公室约会的可用性和医生能力的限制,可以有限地获得慢性护理;因此,患者可能无法接受临床指南建议的推荐护理。虚拟约会可以为传统的办公室预约提供具有成本效益的替代方案,以管理长期条件。但是,将虚拟约会与办公室约会完全集成,是重要的,具有挑战性。这种整合的重要决策之一是确定后续率。对于患者和诊所来说,是患者预约频率的后续率是很大的显着性。良好的后续速度导致医生的时间和患者的受控健康状况有效地利用。确定有效的后续速度也是挑战性的。因此,在这项研究中,我们考虑在长期护理环境中的虚拟和办公室和约会的集成,并建立数学模型来调查虚拟和办公室约会的最佳后续速率。在这项工作中,我们开发开放式迁移网络来模拟临床系统中的患者流动。通过开发的模型,可以更系统地制定办公室和虚拟约会后续率的决策。

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