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

Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

867
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
867
Nursing Clinical Information System01:27

Nursing Clinical Information System

813
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:
813
Integrated Healthcare System01:20

Integrated Healthcare System

1.7K
An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...
1.7K
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.7K
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...
5.7K
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

597
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...
597
Documentation in Long-Term and Home Healthcare Setting01:29

Documentation in Long-Term and Home Healthcare Setting

916
Documentation in long-term care facilities and home healthcare settings is crucial for ensuring continuous, coordinated, and comprehensive care for patients. Each setting has its specific documentation processes and tools:
Long-Term Care Facilities
916

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

Optimizing AI implementation for surgery: recommendations for infrastructure and deployment in the operating room.

NPJ digital medicine·2026
Same author

Reinforcement Learning for Intraoperative Hypotension Management with Consideration to Postoperative Acute Kidney Injury.

Kidney360·2026
Same author

An Exploration of Competency Assessment in Graduate Medical Education.

Journal of graduate medical education·2026
Same author

Divergent chromatin remodeling trajectories in CD66b <sup>+</sup> MDSCs distinguishes recovery from chronic critical illness after sepsis.

bioRxiv : the preprint server for biology·2026
Same author

Building AI competence in the healthcare workforce with the AI for clinical care workshop: A Bridge2AI for clinical CHoRUS project.

Journal of clinical and translational science·2025
Same author

Predicting Acute Kidney Injury with Nephrotoxic Burden in Noncritical Patients: An Internal and External Validation Study.

Kidney360·2025

相关实验视频

Updated: Jul 17, 2025

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

机器学习支持的临床信息系统使用快速医疗互操作性资源数据标准:范围审查

Jeremy A Balch1,2, Matthew M Ruppert2,3, Tyler J Loftus1,2

  • 1Department of Surgery, University of Florida Health, Gainesville, FL, United States.

JMIR medical informatics
|August 30, 2023
PubMed
概括

使用快速医疗互操作资源 (FHIR) 的机器学习支持的临床信息系统 (ML-CIS) 是有希望的,但在应用方面有所不同. 建议提出指导方针,以优化未来的ML-CIS开发,以便更好地提供医疗保健和研究.

关键词:
菲希尔 (FHIR) 是一个人.快速医疗互操作性资源 互操作性资源临床决策支持系统.临床信息学 临床信息学决策支持提供了决策支持.信息系统信息系统信息系统互操作性互操作性互操作性的互操作性互操作互操作的互操作互操作的互操作互操作的互操作互操作的互操作的互操作的互操作的互操作的互操作的互操作的互操作的互操作的机器学习是机器学习.存在的本体学 存在的本体学存在论的存在学审查方法论 审查方法论审查方法 审查方法.范围审查 范围审查审查

更多相关视频

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
07:51

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

7.6K
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.6K

相关实验视频

Last Updated: Jul 17, 2025

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
Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
07:51

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

7.6K
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.6K

科学领域:

  • 医疗信息学 医疗信息学
  • 医疗保健中的机器学习
  • 临床信息系统 临床信息系统

背景情况:

  • 支持机器学习的临床信息系统 (ML-CIS) 对于推进医疗保健提供和研究至关重要.
  • 快速医疗互操作资源 (FHIR) 标准在ML-CIS开发中越来越多地被采用.
  • 目前用于将FHIR应用于ML-CIS的方法表现出变化.

研究的目的:

  • 评估和比较现有的基于FHIR的ML-CIS功能,优点和弱点.
  • 提出指导方针,以优化未来ML-CIS的发展.
  • 确定在临床环境中将机器学习与FHIR标准集成的最佳实践.

主要方法:

  • 在Embase,PubMed和Web of Science进行了系统的文献搜索.
  • 分析了描述用于临床数据分析或决策支持的FHIR兼容机器学习系统的文章.
  • 系统基于功能,数据源,格式,安全性,性能,资源需求和可扩展性进行了比较.

主要成果:

  • 关于基于FHIR的ML-CIS的39篇文章被分类为决策支持 (n=18),数据管理 (n=10) 和辅助模块 (n=11).
  • 优势包括新的云系统应用程序,贝叶斯网络,可视化和非结构化数据翻译到FHIR.
  • 确定的弱点包括缺乏电子健康记录的互操作性和临床疗效的外部验证.

结论:

  • 目前的ML-CIS缺陷可以通过模块化,可互操作的数据管理和分析平台来缓解.
  • 安全的机构间数据交换和可扩展的API对于实时和潜在的临床应用至关重要.
  • 优化ML-CIS需要解决各种电子健康记录平台的实施问题,并确保强大的互操作性.