基于粒度挖掘的护理计划构建

2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing Pub Date : 2013-07-16 DOI:10.1109/ICCI-CC.2013.6622256

S. Tsumoto, S. Hirano, H. Iwata

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引用次数: 0

摘要

住院计划管理是维持或提高医疗服务质量的重要手段，应用临床路径管理是重要的解决方案之一。本研究利用护理医嘱的历史数据，提出了一种以数据为导向的现有临床路径维护方法。如果某一疾病没有临床路径，该方法将从数据中诱导出新的临床护理计划。对10种疾病进行了评价。结果表明，存储数据的重用将为护理计划管理提供有力的工具，从而提高医院的服务水平。

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Granularity-based mining for construction of nursing care plan

Schedule management of hospitalization is important to maintain or improve the quality of medical care and application of a clinical pathway is one of the important solutions for the management. This research proposed an data-oriented maintenance of existing clinical pathways by using data on histories of nursing orders. If there is no clinical pathway for a given disease, the method will induce a new clinical care plan from the data. The method was evaluated on 10 diseases. The results show that the reuse of stored data will give a powerful tool for management of nursing schedule and lead to improvement of hospital services.

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2013 IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing

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