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通过机器人流程自动化实现医疗保健精益数字化转型的案例研究。

A case study of lean digital transformation through robotic process automation in healthcare.

机构信息

Medical Affairs Office, National Taiwan University Hospital, No. 7, Zhongshan S. Rd., Zhongzheng Dist., Taipei, 100225, Taiwan.

Department of Industrial Education and Technology, National Changhua University of Education Bao-Shan Campus, No.2, Shi-Da Rd, Changhua, 500208, Taiwan.

出版信息

Sci Rep. 2024 Jun 25;14(1):14626. doi: 10.1038/s41598-024-65715-9.

Abstract

Under Taiwan's National Health Insurance (NHI) system, it's crucial for all healthcare providers to accurately submit medical expense claims to the National Health Insurance Administration (NHIA) to avoid incorrect deductions. With changes in healthcare policies and adjustments in hospital management strategies, the complexity of claiming rules has resulted in hospitals expending significant manpower and time on the medical expense claims process. Therefore, this study utilizes the Lean Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) management approach to identify wasteful and non-value-added steps in the process. Simultaneously, it introduces Robotic Process Automation (RPA) tools to replace manual operations. After implementation, the study effectively reduces the process time by 380 min and enhances Process Cycle Efficiency (PCE) from 69.07 to 95.54%. This research validates a real-world case of Lean digital transformation in healthcare institutions. It enables human resources to be allocated to more valuable and creative tasks while assisting hospitals in providing more comprehensive and patient-centric services.

摘要

在台湾的全民健康保险(NHI)制度下,所有医疗保健提供者都必须准确地向全民健康保险局(NHIA)提交医疗费用报销,以避免错误的扣除。随着医疗政策的变化和医院管理策略的调整,报销规则的复杂性导致医院在医疗费用报销过程中耗费大量的人力和时间。因此,本研究采用精益六西格玛 DMAIC(定义、测量、分析、改进、控制)管理方法来识别过程中的浪费和非增值步骤。同时,引入机器人流程自动化(RPA)工具来替代手动操作。实施后,该研究有效地将流程时间缩短了 380 分钟,将流程周期效率(PCE)从 69.07 提高到 95.54%。本研究验证了医疗机构精益数字化转型的实际案例。它使人力资源能够分配到更有价值和创造性的任务,同时帮助医院提供更全面和以患者为中心的服务。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62da/11199509/6ae75eaff31b/41598_2024_65715_Fig1_HTML.jpg

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