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相关概念视频

Nursing Clinical Information System01:27

Nursing Clinical Information System

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Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
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Documentation of Nursing Diagnosis01:10

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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.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
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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.
For example, a patient with a chronic...
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Creating and executing a nursing diagnosis helps nurses plan care and guide patient, family, and community interventions. They are developed based on a patient's physical evaluation and support measuring the outcomes. It is not recommended to select random interventions throughout the planning process. Instead, consider the following six essential factors when choosing interventions:
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相关实验视频

Updated: Sep 12, 2025

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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为AI和CDSS优化护理数据:使用K-MIMIC进行SNOMED CT映射.

Youngeun Kim1, Mijeong Park1, Sang-Min Lee2

  • 1WITH LAB, Gangneung-Wonju National University, Wonju, Gangwon state, Korea.

Studies in health technology and informatics
|August 8, 2025
PubMed
概括

将韩国重症监护护理数据映射到SNOMED CT支持AI驱动的临床决策支持系统开发. 这种标准化对于优化数据利用和加强临床决策至关重要.

关键词:
临床决策支持系统 临床决策支持系统在重症监护病房的重症监护病房.护理记录 护理记录这就是SNOMED CT.

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科学领域:

  • 医疗信息学 医疗信息学
  • 护理信息学 护理信息学
  • 医疗保健中的人工智能

背景情况:

  • 密集护理护理数据需要标准化,用于先进的应用.
  • 像SNOMED CT这样的国际术语对于数据互操作性至关重要.
  • 开发基于AI的临床决策支持系统 (CDSS) 需要结构化的临床数据.

研究的目的:

  • 将韩国重症监护医疗信息中心 (K-MIMIC) 的护理数据映射到SNOMED CT.
  • 评估SNOMED CT适用于代表重症监护护理数据的适用性.
  • 评估标准化数据对基于人工智能的CDSS开发的潜力.

主要方法:

  • 将两个医院的约12,000个K-MIMIC护理条目映射到SNOMED CT.
  • 将映射数据分类为精确,广泛和不匹配的条目.
  • 分析映射类型 (1:N) 和主要数据类别 (程序,临床发现).

主要成果:

  • 8,424个护理数据输入成功地被映射出来.
  • 90.4%的准确匹配,8.5%的广泛匹配,1.1%的不匹配的条目.
  • 76.9%的数据是1:N映射,主要是程序 (57.1%) 和临床发现 (38.2%).

结论:

  • SNOMED CT适用于代表重症监护护理数据.
  • 标准化的护理数据支持AI开发和临床决策.
  • 未来的研究应该完善映射过程并验证CDSS的有效性.