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

Current Trends in Nursing I01:28

Current Trends in Nursing I

1.5K
Current trends in nursing include:
1.5K
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
Planning Nursing Care I01:21

Planning Nursing Care I

4.4K
The planning phase of the nursing process helps nurses set priorities, outline patient-centered goals and expected outcomes, and tailor nursing interventions to align with the aligned care plan. Through the planning phase, the nurse applies critical thinking skills to align and develop interventions according to the patient's needs. It provides continuity of care allowing patients to receive the maximum benefit from treatment. It serves as a pilot plan for allocating individual staff to a...
4.4K
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 Implementation01:15

Nursing Implementation

5.0K
Implementation is the execution of the nursing care plan developed during the planning phase.
The five steps to implementing effective nursing care include reassessing the patient, reviewing and revising the existing nursing care plan, organizing the resources and care delivery, anticipating and preventing complications, and implementing nursing interventions.
5.0K
Nursing Interventions II: Selecting and Classifying the Nursing Interventions01:29

Nursing Interventions II: Selecting and Classifying the Nursing Interventions

2.1K
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:
2.1K

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

Harnessing Clinical Data Streams for Nursing Workload Prediction Using Artificial Intelligence.

Studies in health technology and informatics·2026
Same author

A Perfect Start with Retrieval-Augmented Generation: Building a Chatbot to Support the Onboarding Process in SMEs.

Studies in health technology and informatics·2025
Same author

Development of a Data Model to Predict Nursing Workload Using Routine Clinical Data.

Studies in health technology and informatics·2024
Same author

[Digital Transformation of Healthcare: A Delphi Study of the Working Groups Digital Health and Validation and Linkage of Secondary Data of the German Network for Health Services Research (DNVF)].

Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany))·2022
Same author

[Not Available].

Kinderkrankenschwester : Organ der Sektion Kinderkrankenpflege·2018
Same author

Prediction of Nursing Workload in Hospital.

Studies in health technology and informatics·2018

相关实验视频

Updated: Jun 19, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

2.7K

人工智能的人员管理:预测护理工作量

Dirk Hunstein1, Madlen Fiebig2

  • 1CEO, ePA-CC GmbH, Wiesbaden.

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

人工智能和机器学习可以使用临床数据预测护理工作量. 自我护理指数 (SPI) 是一个关键的预测指标,能够根据数据做出更好的医疗保健的员工决策.

科学领域:

  • 护理 护理 护理
  • 医疗保健管理的管理
  • 人工智能的人工智能

背景情况:

  • 在护理中有效的人力资源管理对于高质量的患者护理至关重要.
  • 员工数量通常取决于患者的健康状况,但需要客观的预测模型.

研究的目的:

  • 开发和验证用于预测护理工作负载的AI/ML模型.
  • 确定护理工作负载的关键临床预测因素.
  • 为护理中数据驱动的人员管理提供基础.

主要方法:

  • 这是一项多中心研究,利用了三家医院的常规临床数据.
  • 应用AI和ML算法来识别工作负载预测因素.
  • 统计分析,包括调整的R平方,以评估模型性能.

主要成果:

  • 自理指数 (SPI) 被确定为护理工作负载的重要预测指标,解释了40-66%的工作负载分钟的差异.
  • 结合其他预测因素,如疲劳和疼痛强度,解释能力增加了高达17%.
  • 成功开发了一种护理工作负载的预测模型.

结论:

  • 基于常规的临床数据,人工智能和机器学习可以有效地预测护理工作量.
关键词:
临床决策支持 临床决策支持机器学习 机器学习护理工作量护理工作量预测模型的预测模型自己照顾指数SPI SPI人事管理 人事管理 人事管理 人事管理 人事管理 人事管理美国 epaAC 美国 epaAC

更多相关视频

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.2K
Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
07:13

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Published on: April 12, 2021

4.2K

相关实验视频

Last Updated: Jun 19, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

2.7K
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.2K
Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
07:13

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Published on: April 12, 2021

4.2K
  • SPI是护理工作量的一个强有力的,经过验证的预测指标.
  • 开发的模型支持基于数据的人员控制和优化护理人员配置.