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Evaluating Pain in Intensive Care

机译：评估密集护理的疼痛

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Optimal pain management is essential for good care outcomes, but assessing pain is particularly complex in intensive care, as patients are often unable to communicate. We hypothesize that the task could be supported through human language technology. To evaluate the feasibility of such tools, we study how pain is documented in electronic Finnish free-text intensive care nursing notes by statistically comparing annotations of ten nursing professionals on a set of 1548 documents. The aspects considered include the amount and writing style of pain-related notes, pain intensity, and given pain care. More than half of the documents contained information relevant for patients' pain status but it was expressed usually indirectly. Also pain medication was commented as free-text. Although annotators' pain intensity evaluations diverged, the substantial amount of pain-related notes encourages developing computational tools for pain assessment.
机译：最佳疼痛管理对于良好的护理结果至关重要，但在重症监护时，评估疼痛特别复杂，因为患者往往无法沟通。我们假设通过人类语言技术可以支持任务。为了评估此类工具的可行性，我们研究在电子芬兰自由文本重症监护室护理票据中记录疼痛如何在一套1548份文件上进行统计比较十名护理专业人员的注释。所考虑的方面包括与疼痛相关的备注，疼痛强度和疼痛护理的数量和书写方式。超过一半的文件包含了与患者疼痛状况相关的信息，但它通常间接表达。还评论了止痛药作为自由文本。虽然注释器的疼痛强度评估分歧，但大量的痛苦相关票据鼓励开发疼痛评估的计算工具。

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