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Verifying Nursing Activities based on Nursing Workflow Model for Detecting Errors

机译:基于护理工作流模型来验证护理活动检测错误

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In this paper, we propose a robust error detection algorithm for nursing care procedures. This algorithm warns of mistakes or neglected tasks in nursing procedures by using observed data from a ubiquitous sensor network. We assume two types of nursing care errors: "neglected tasks" and "tasks done out of sequence." The algorithm focuses on these tasks in fatal errors because such situations demand immediate attention. Its validity has been confirmed by the observed data for nursing care before and after cataract operations.
机译:在本文中,我们提出了一种用于护理程序的强大错误检测算法。该算法通过使用来自无处不在的传感器网络的观察数据来警告护理程序中的错误或忽略任务。我们假设两种类型的护理错误:“被忽视的任务”和“序列中的任务”。该算法在致命错误中侧重于这些任务,因为这种情况需要立即关注。它的有效性已通过观察到的数据在白内障操作之前和之后进行护理。

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