Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Nursing Assessment01:29

Nursing Assessment

7.5K
The two sources for collecting information are primary and secondary. After gathering information, interpretation and validation help to complete the data. The purpose of assessment is to establish data with the initial information, to interpret data about the patient's perceived needs and health problems, and to respond to these problems identified.
The nurse collects all aspects of the patient's health in the initial assessment, establishing priorities for ongoing focused assessments...
7.5K
Nursing Evaluation01:15

Nursing Evaluation

3.3K
The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.
3.3K
Current Trends in Nursing II01:30

Current Trends in Nursing II

1.2K
Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
1.2K
Nursing Clinical Information System01:27

Nursing Clinical Information System

765
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:
765
Nursing Diagnosis01:22

Nursing Diagnosis

2.7K
Following assessment, a nursing diagnosis is the next step in the nursing process. It begins after the nurse has collected and recorded the patient data. The purpose of diagnosing is to identify how the client responds to actual or potential health processes, identify factors that bestow or that cause health problems, the etiologies, and identify resources or strengths the individual, group, or community can draw on to prevent or resolve problems.
The nursing diagnosis focuses on evidence-based...
2.7K
Formulating and Validating Nursing Diagnosis II01:25

Formulating and Validating Nursing Diagnosis II

2.7K
Nursing diagnoses represent a problem validated by major defining characteristics. There are four categories of nursing diagnoses: problem-focused, risk, health promotion or wellness, and syndrome. The anatomy of a nursing diagnosis includes three components: problem statement or diagnostic label, defining characteristics, and related factors.
Risk nursing diagnoses represent clinical judgments of an individual, family, or community more vulnerable to developing the health problem than others...
2.7K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

A Curated Dataset for Question Answering on Laboratory Test Reference Ranges and Interpretation.

Scientific data·2026
Same author

IMPACT (Immune Monitoring and Phenotype Assessment of Clinical Trajectory) for Patients With Inborn Errors of Immunity From the Primary Immune Deficiency Treatment Consortium (PIDTC).

The journal of allergy and clinical immunology. In practice·2026
Same author

When machines explain medicine: Nursing ethics and clinical communication.

Nursing ethics·2026
Same author

Using Prompt Engineering to Optimize a RAG Pipeline for EHR-Nursing Data Standardization.

Studies in health technology and informatics·2026
Same author

Chrysin reshapes ferroptosis sensitivity to reverse nickel refining fumes-induced lung injury via the miR-210/ANGPTL4 signaling axis mediated by the PHD1/HIF-1α pathway.

Ecotoxicology and environmental safety·2026
Same author

Identify Patients at Risk of HIV Using a Clinical Large Language Model from Electronic Health Records.

medRxiv : the preprint server for health sciences·2026

相关实验视频

Updated: Jun 19, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.1K

揭示跌倒风险因素:护士驱动的自然语言处理库开发

Ragnhildur I Bjarnadottir1, Yonghui Wu1, Urszula A Snigurska1

  • 1University of Florida, Gainesville, FL, USA.

Studies in health technology and informatics
|July 25, 2024
PubMed
概括

这项研究使用专家护士来注释临床笔记,训练自然语言处理 (NLP) 管道以识别医院跌倒风险. 该方法显示了提高患者安全和提取更广泛的临床见解的潜力.

关键词:
临床自然语言处理 临床自然语言处理数据科学数据科学防摔 防止跌倒 预防跌倒在医院获得的疾病.护理信息学 护理信息学

更多相关视频

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.6K
A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

15.9K

相关实验视频

Last Updated: Jun 19, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.1K
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.6K
A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

15.9K

科学领域:

  • 临床信息学 临床信息学
  • 护理研究 护理研究
  • 自然语言处理自然语言处理.

背景情况:

  • 在医院获得的跌倒仍然是一个重要的临床挑战.
  • 护士生成的临床笔记包含了预防跌倒的宝贵数据.
  • 先进的分析方法,如NLP,为数据利用提供了新的途径.

研究的目的:

  • 开发和测试一种自然语言处理 (NLP) 管道,从注册护士 (RN) 的临床笔记中提取与跌倒相关的因素.
  • 在数据注释中利用专家护理知识,以改善NLP模型培训.
  • 探索注释性临床笔记在预防跌倒之外的潜在用处.

主要方法:

  • 采用了RN临床笔记专家手动注释的代过程.
  • 这些注释数据被用来训练和测试NLP管道.
  • 评估了Interrater可靠性,以确保数据质量.

主要成果:

  • 标注的数据库实现了中度高的评分器间可靠性 (F-score=0.74).
  • 该NLP管道展示了在提取落相关因素的能力.
  • 提取的临床概念显示了超出患者跌倒的潜在实用性.

结论:

  • 专家护士注释是培训NLP模型解决临床问题,如跌倒的宝贵资源.
  • 开发的NLP管道显示了增强患者安全和提取更广泛的临床见解的前景.
  • 需要进一步的研究,以优化在注释任务中使用护理专业知识的效率.