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English(EN) A Data-Driven Framework for Identifying and Prioritizing RPA Opportunities in Healthcare Processes

新框架优化医疗保健中的RPA选择

研究人员开发了一个数据驱动的框架,以改进医疗保健领域机器人流程自动化(RPA)计划的选择和优先排序。该拟议的四模块系统旨在通过提供一种结构化的方法来解决许多RPA项目表现不佳的问题,该方法包括编目流程、基于自动化适用性指数对其进行优先排序、选择合适的自动化工具(从Python机器人到UiPath等企业平台)以及预测财务回报。该框架应用于20个医院流程的合成组合,识别出12个合适的候选项目,并展示了强大的优先排序能力,预算限制优化表明超过103万美元后收益递减。 AI

影响 该框架可能导致医疗保健管理中自动化实施的效率和成本效益更高。

排序理由 该集群描述了一篇详细介绍特定应用领域新框架的研究论文。

在 Hugging Face Daily Papers 阅读 →

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新框架优化医疗保健中的RPA选择

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该集群描述了一篇详细介绍特定应用领域新框架的研究论文。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Maria Alejandra Gomez, Juan Manuel Castillo ·

    一种数据驱动的框架,用于识别和优先处理医疗流程中的RPA机会

    arXiv:2609.09137v1 Announce Type: new Abstract: Robotic Process Automation (RPA) is widely used to reduce administrative burden in United States hospitals, yet an estimated 30-50% of RPA initiatives underperform because processes are selected informally, without a repeatable meth…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    一种数据驱动的框架,用于识别和优先处理医疗流程中的RPA机会

    Robotic Process Automation (RPA) is widely used to reduce administrative burden in United States hospitals, yet an estimated 30-50% of RPA initiatives underperform because processes are selected informally, without a repeatable method to catalogue candidates, prioritize them, mat…