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

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

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...
Integrated Healthcare System01:20

Integrated Healthcare System

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,...
Data Validation01:03

Data Validation

Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

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

Nursing Clinical Information System

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:

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

Auditing fairness in clinical AI systems using provenance-based simulation: a comparative and regulatory perspective.

Frontiers in artificial intelligence·2026
Same author

Mapping the invisible internet: Framework and dataset.

Data in brief·2025
查看所有相关文章

相关实验视频

Updated: Jul 4, 2026

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

临床AI决策支持的可审计和经源验证的框架:集成检索增强生成与数据来源.

Fidelis Fidelis Alu1, Sunkanmi Oluwadare1

  • 1School of Information Technology, University of Cincinnati, Cincinnati, OH, United States.

Frontiers in artificial intelligence
|February 20, 2026
PubMed
概括

本研究提出了一个可审计的人工智能 (AI) 临床决策支持系统的框架. 它通过将AI建议与基于证据的来源和日志系统流程联系起来,提高了透明度和信任.

关键词:
人工智能 (AI) 是一种人工智能.可审计性的可审计性临床决策支持 (CDS)数据来源数据来源可以解释性的解释性.医疗保健信息学 医疗保健信息学源检验验证的来源验证值得信赖的AI 值得信赖的AI

更多相关视频

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

相关实验视频

Last Updated: Jul 4, 2026

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

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

科学领域:

  • 医疗信息学 医疗信息学
  • 医疗保健中的人工智能
  • 值得信赖的AI 值得信赖的AI

背景情况:

  • 使用人工智能 (AI) 的临床决策支持 (CDS) 系统显示出潜力,但由于透明度和问责问题,其采用程度有限.
  • 生成式和数据驱动型人工智能往往缺乏对其建议的明确解释,阻碍了临床信任和验证.
  • 医疗保健中现有的AI正在努力证明其输出的证据基础.

研究的目的:

  • 为可审计和经源验证的基于AI的临床决策支持提供一个概念框架.
  • 提高人工智能驱动的医疗保健建议的透明度,可验证性和问责制.
  • 改善临床医生对AI的信任和监管准备在临床环境中.

主要方法:

  • 整合一个精心策划的医疗知识库与来源元数据.
  • 使用搜索增强推理 (RAG) 引擎将建议与指南和同行评审来源联系起来.
  • 实施一个明显改的审计记录机制,用于记录系统流程和证据.

主要成果:

  • 这篇文章介绍了一个合成的系统设计,而不是一个新的算法或原型.
  • 拟议的框架旨在通过将它们与可验证来源联系起来,提高人工智能建议的可追溯性.
  • 它解决了包括知识治理,引用准确性,偏见,可用性,隐私和监管调整在内的关键挑战.

结论:

  • 这个概念框架为开发可靠,可审计的AI临床决策支持提供了一条途径.
  • 解决可行性挑战对于成功实施和验证至关重要.
  • 为未来的经验验证,提出了包括模拟和用户研究在内的分阶段评估路线图.