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相关概念视频

Methods of Documentation VI: Case Management Model01:15

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The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
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Quality documentation and reporting share essential characteristics that ensure they are practical and valuable resources for those who use them. These characteristics are:
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The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
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通过零射击学习在临床笔记中识别自杀记录.

Terri Elizabeth Workman1,2, Joseph L Goulet3,4, Cynthia A Brandt3,4

  • 1Biomedical Informatics Center The George Washington University Washington District of Columbia USA.

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概括
此摘要是机器生成的。

这项研究引入了零射击学习,以识别临床笔记中的自杀倾向,克服数据限制. 这种新的方法能够准确地检测到没有手册注释的自杀风险文档.

关键词:
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科学领域:

  • 人工智能的人工智能
  • 自然语言处理自然语言处理.
  • 临床信息学 临床信息学

背景情况:

  • 在临床笔记中识别自杀倾向是具有挑战性的,因为培训数据有限.
  • 积极实例的稀缺性阻碍了用于自杀风险检测的深度学习模型的开发.

研究的目的:

  • 开发一种新的方法,使用零射击学习来识别临床笔记中的自杀倾向.
  • 为了解决临床笔记分析的深度学习中的数据稀疏性问题.

主要方法:

  • 使用了美国退伍军人事务所的临床笔记,标签来源于自杀企图和自伤诊断代码.
  • 采用深度神经网络,以辅助信息的基础字符串进行训练,将文档内容映射到语义空间.
  • 与基线深度神经网络的性能进行了比较,使用了词包功能.

主要成果:

  • 零射击学习模型在各种指标上显著超过了基线,包括曲线下的面积,灵敏度和特异性.
  • 在识别与ICD-10-CM代码无关的自杀性文档时,在0.90概率值下获得了94%的准确性.

结论:

  • 零射击学习提供了一种有效的方法来识别临床笔记中的自杀倾向.
  • 这种方法可以在不需要手动注释的情况下准确检测自杀风险,解决数据限制.