Almaktoom Abdulaziz T
Department of Operations and Supply Chain Management, Effat University, PO Box 34689, Jeddah, 21478, Kingdom of Saudi Arabia.
Heliyon. 2023 Jul 27;9(8):e18753. doi: 10.1016/j.heliyon.2023.e18753. eCollection 2023 Aug.
Challenges in the health care industry have confounded the provision of quality services for patients. Among many relevant concerns, the drive for cost-effectiveness and efficient care have placed considerable pressure on public health care systems and insurance coverage, amid existing barriers to restructuring entrenched systems. This study closely examines the factors impacting disruptions in health care scheduling systems using a structured case study in the health care industry. The study introduces a novel model to identify optimal overbooking capacity and minimize no-show costs. To address the complexity of this issue on a smaller scale, the model is implemented using a private hospital clinical platform in Jeddah, Saudi Arabia, instituting an overbooking reservation and queuing system in 14 departments to investigate the factors that influence disruptions and inefficacy of service provision, while also introducing a strategy for covering costs. The results identify the maximum amount of overbooking that can be made for each clinic. The cost-saving plan developed is expected to save each clinic a considerable sum, as opposed to randomly overbooking without any cost assumptions. Overall, if the clinics studied implemented this strategy, a total loss of no more than SAR. 2, 408 would be incurred from overbooking, in contrast to the exponentially growing amount of SAR. 10,000 that is currently lost on scheduling errors per year. The loss model developed has practical application as a tool for decision-making that includes no-show cost minimization variables.
医疗行业的挑战使得为患者提供优质服务变得困难重重。在众多相关问题中，追求成本效益和高效护理给公共医疗系统和保险覆盖带来了巨大压力，同时现有系统根深蒂固，存在重组障碍。本研究通过在医疗行业进行结构化案例研究，深入考察影响医疗调度系统中断的因素。该研究引入了一种新颖的模型，以确定最佳的超额预订容量并将爽约成本降至最低。为了在较小规模上解决这个问题的复杂性，该模型在沙特阿拉伯吉达的一家私立医院临床平台上实施，在14个科室建立了超额预订预约和排队系统，以调查影响服务提供中断和无效的因素，同时还引入了一种成本覆盖策略。结果确定了每个诊所可进行的最大超额预订量。与没有任何成本假设的随机超额预订相比，制定的成本节约计划预计可为每个诊所节省可观的费用。总体而言，如果所研究的诊所实施这一策略，超额预订造成的总损失将不超过2408里亚尔，而目前每年因调度错误造成的损失呈指数级增长，高达10000里亚尔。所开发出的损失模型作为一种决策工具具有实际应用价值，其中包括将爽约成本最小化的变量。
