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

Methods of Documentation VII: EMR01:30

Methods of Documentation VII: EMR

1.4K
Electronic Medical Records (EMRs) primarily center around electronically documenting patients' health information within a single healthcare organization or practice. They contain essential clinical data related to a patient's medical history, diagnoses, medications, treatment plans, lab results, and other pertinent information relevant to the specific encounter or episode of care. EMRs are designed to streamline documentation and workflow processes within individual healthcare...
1.4K
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

854
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...
854
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

6.1K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
6.1K
Guidelines and Strategies for Safe Computer Charting01:18

Guidelines and Strategies for Safe Computer Charting

2.7K
The guidelines and strategies provided by the American Nurses Association (ANA) and the Canadian Nurses Association (CNA) offer essential principles for ensuring safe and secure computer charting systems in healthcare settings. Let's break down each recommendation:
Maintain Confidentiality and Security:
2.7K
Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

1.6K
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...
1.6K

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

The Inverse Care Law in the Age of AI - Geographic Disparities in Health Care Technology Access.

NEJM AI·2026
Same author

Machine Learning Based Prediction of Hospital Mortality in Post-Cardiotomy Cardiogenic Shock with Mechanical Support.

ESC heart failure·2026
Same author

Data Resource Profile Update: The Dutch National Intensive Care Evaluation (NICE) registry.

International journal of epidemiology·2026
Same author

What Utah's clinical AI sandbox reveals about independent oversight.

Nature medicine·2026
Same author

Building safer artificial intelligence mental health chatbots: a framework for transparency, evaluation, and shared accountability.

Journal of the American Medical Informatics Association : JAMIA·2026
Same author

Towards Establishing Shared Terminology for Person-Centred Care: A Modified Delphi Study With Consumers and Health Professionals.

Health expectations : an international journal of public participation in health care and health policy·2026

相关实验视频

Updated: Jan 14, 2026

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

7.5K

电子健康记录的挑战和建议数据提取和准备用于住院患者的动态预测建模:实用指南和教程

Elena Albu1, Shan Gao1, Pieter Stijnen2

  • 1Department of Development & Regeneration, KU Leuven, Leuven, Belgium.

Journal of medical Internet research
|October 17, 2025
PubMed
概括

这项研究解决了为动态预测模型准备电子健康记录数据的挑战. 它提供了实际的解决方案,以提高临床环境中的数据质量和模型可靠性.

关键词:
欧洲人机数据 欧洲人机数据在 ETLTL 中,数据提取数据提取.数据准备数据准备动态预测模型的动态预测模型.电子健康记录是电子健康记录.提取,转换,负载的负载.

更多相关视频

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients
09:00

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Published on: April 13, 2021

5.2K
Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

15.9K

相关实验视频

Last Updated: Jan 14, 2026

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

7.5K
TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients
09:00

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Published on: April 13, 2021

5.2K
Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

15.9K

科学领域:

  • 临床信息学 临床信息学
  • 健康 数据科学 数据科学
  • 预测分析是一种预测分析.

背景情况:

  • 使用电子健康记录 (EHR) 数据进行动态预测建模变得越来越重要.
  • 模型可靠性取决于高质量的EHR数据,受提取和准备过程的影响.
  • 在EHR数据提取和预测建模准备方面存在40多个挑战.

研究的目的:

  • 识别和分类EHR数据提取和准备中的挑战.
  • 为克服这些挑战提供可行的建议.
  • 促进开发可靠的动态预测模型的最佳实践.

主要方法:

  • 在EHR数据提取和准备过程中系统地识别挑战.
  • 将挑战分类为队列定义,结果定义,特征工程和数据清理.
  • 为每个挑战类别制定实际建议.

主要成果:

  • 在四个类别中确定了40多个不同的挑战.
  • 制定了可行的建议,以应对每一个发现的挑战.
  • 创建了一个结构化指南,以提高预测模型的数据质量.

结论:

  • 解决数据提取和准备挑战对于可靠的基于EHR的预测模型至关重要.
  • 确定了挑战和建议,作为数据工程师和研究人员的实用指南.
  • 实施这些最佳实践将提高动态预测模型的质量和临床适用性.