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

Data Validation01:03

Data Validation

4.9K
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...
4.9K
Data Reporting and Recording01:24

Data Reporting and Recording

4.6K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
4.6K
Ethical Standards I01:25

Ethical Standards I

773
The American Nurses Association (ANA) created and implemented the first nationally accepted Code of Ethics for Nurses with Interpretive Statements. The Code of Ethics is a living document regularly updated by the ANA and establishes an ethical standard that is non-negotiable for nurses in all roles and settings.
The Code of Ethics provisions outline the nurse's duty to the patient, the healthcare team, the profession, and society. The Code's fundamental principles include advocacy,...
773
Methods of Documentation VII: EMR01:30

Methods of Documentation VII: EMR

824
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...
824
Documentation in Long-Term and Home Healthcare Setting01:29

Documentation in Long-Term and Home Healthcare Setting

873
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
873
Data Collection I01:30

Data Collection I

6.0K
Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
6.0K

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

FAIR in practice: minimum metadata schema for bioinformatics analytics by machines.

Journal of biomedical semantics·2026
Same author

Mapping the terminology of the early rescue chain to the Foundation of ICD-11: Registered report protocol.

PloS one·2026
Same author

The Ethics of Leveraging Routinely Collected Patient Data for AI Development: Mixed Methods Study.

Journal of medical Internet research·2026
Same author

Using Health Information Systems to Support Behavioral Interventions in Local Contexts: Scoping Review.

JMIR medical informatics·2026
Same author

Exploring the Impact of the Multimodal CAPABLE eHealth Intervention on Health-Related Quality of Life in Patients With Melanoma Undergoing Immune-Checkpoint Inhibition: Prospective Pilot Study.

JMIR cancer·2025
Same author

Usability and Usefulness of a Symptom Management Coaching System for Patients With Cancer Treated With Immune Checkpoint Inhibitors: Comparative Mixed Methods Study.

JMIR formative research·2025
Same journal

Performance Management Counters from Live 5G, 4G and 2G Radio Access Network.

Scientific data·2026
Same journal

Establishment of comparative transcriptome dataset related to nitrogen use efficiency in melon.

Scientific data·2026
Same journal

A chromosome-level reference genome assembly of the King Ratsnake (Elaphe carinata).

Scientific data·2026
Same journal

A six-week longitudinal dataset of wearable and self-reported stress measurements in working adults.

Scientific data·2026
Same journal

A Multi-Regional Single-nucleus Atlas of the Huntington's Disease Brain.

Scientific data·2026
Same journal

A multimodal speech-production dataset with time-aligned articulography, EEG, audio, and vocal-tract anatomy.

Scientific data·2026
查看所有相关文章

相关实验视频

Updated: Jun 4, 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

15.8K

使用数据元素语义进行跨标准健康数据协调.

Shuxin Zhang1,2, Ronald Cornet3,4, Nirupama Benis3,4

  • 1Amsterdam UMC location University of Amsterdam, Department of Medical Informatics, Amsterdam, 1105, AZ, The Netherlands. s.x.zhang@amsterdamumc.nl.

Scientific data
|December 20, 2024
PubMed
概括
此摘要是机器生成的。

本研究引入了一种新的方法,通过关注基础概念来协调各种医疗保健数据. 它可以在像HL7 FHIR和OMOP这样的标准中实现一致的数据映射,从而改善数据集成.

更多相关视频

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases
07:26

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

9.3K
Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

8.6K

相关实验视频

Last Updated: Jun 4, 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

15.8K
Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases
07:26

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

9.3K
Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

8.6K

科学领域:

  • 医疗信息学 医疗信息学
  • 数据科学数据科学数据科学
  • 本体学 工程学 工程学

背景情况:

  • 医疗保健数据在不同标准中表现出显著的异质性.
  • 现有的数据协调方法经常与上下文依赖的映射作斗争.
  • 需要一种以概念为中心的方法来协调跨健康数据标准的数据元素.

研究的目的:

  • 根据其基础概念,提出和验证一种新的方法,在健康数据标准中协调数据元素.
  • 来自不同健康数据标准的数据元素之间创建可重复使用的映射.
  • 展示基于概念的映射在数据协调和查询中的实用性.

主要方法:

  • 开发了一种以概念为中心的方法,涉及概念识别,集群和映射.
  • 利用共享本体映射的简单标准 (SSSOM) 和资源描述框架 (RDF) 进行映射构建.
  • 在多个领域和主题中应用了对五个主要健康数据标准 (HL7 FHIR,OMOP,CDISC,Phenopackets,openEHR) 的方法.
  • 分析了64个数据元素,确定了基础概念,并开发了映射.
  • 实施了三个用例来证明该方法的有效性.

主要成果:

  • 在五个健康数据标准中成功确定了64个数据元素的基本概念.
  • 基于已识别的概念,在数据元素之间构建可重复使用的映射.
  • 通过三个实践用例,证明了数据协调和查询能力的改进.
  • 验证了该方法克服上下文依赖映射局限性的能力.

结论:

  • 提出的以概念为中心的方法有效地协调了异构的医疗保健数据元素.
  • 这种方法有助于在各种健康数据标准中创建可靠和可重复使用的映射.
  • 该方法为健康数据映射和整合挑战提供了有价值的见解和实际解决方案.