Nursing documentation of symptoms is associated with higher risk of emergency department visits and hospitalizations in homecare patients.
Nursing documentation of symptoms is associated with higher risk of emergency department visits and hospitalizations in homecare patients.
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DOI：
10.1016/j.outlook.2020.12.007
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发表时间：
2021-05
期刊：
影响因子：
4.3
通讯作者：
Bakken S
中科院分区：
文献类型：
--
作者：
Topaz M;Koleck TA;Onorato N;Smaldone A;Bakken S
护士经常在叙述性笔记中记录患者的症状。这项研究使用了一种称为自然语言处理（NLP）的技术：（1）自动识别家庭护理叙述性护理笔记中的七种常见症状（焦虑，认知障碍，抑郁情绪，疲劳，睡眠障碍，疼痛和幸福感）的文档，以及（2）检查症状与急诊室就诊或家庭护理住院之间的关联。NLP应用于美国东北部一家大型家庭护理机构收治的89，825名患者的大量叙述性笔记（250万份笔记）。NLP在叙述性笔记中准确地识别了症状。有更多记录的症状类别的患者有更高的急诊室就诊或住院的风险。需要进一步研究，以探索其他症状并在家庭护理环境中实施NLP系统，以早期识别导致急诊科就诊或住院的患者趋势。
Nurses often document patient symptoms in narrative notes. This study used a technique called natural language processing (NLP) to: (1) Automatically identify documentation of seven common symptoms (anxiety, cognitive disturbance, depressed mood, fatigue, sleep disturbance, pain, and well-being) in homecare narrative nursing notes, and (2) examine the association between symptoms and emergency department visits or hospital admissions from homecare. NLP was applied on a large subset of narrative notes (2.5 million notes) documented for 89,825 patients admitted to one large homecare agency in the Northeast United States. NLP accurately identified symptoms in narrative notes. Patients with more documented symptom categories had higher risk of emergency department visit or hospital admission. Further research is needed to explore additional symptoms and implement NLP systems in the homecare setting to enable early identification of concerning patient trends leading to emergency department visit or hospital admission.
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