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 I: Source-Oriented Records01:18

Methods of Documentation I: Source-Oriented Records

1.1K
Source-oriented records, or SOR, are medical record-keeping organized by the data source. The SOR system was first developed in the mid-1900s to organize the growing patient data in hospitals and other healthcare facilities.
In an SOR, each discipline involved in patient care maintains a separate medical record section. This record-keeping method enables easy tracking of patient progress and ensures healthcare staff have access to up-to-date information.
Key Attributes include the following:
1.1K
Methods of Documentation II: POMR01:26

Methods of Documentation II: POMR

924
The Problem-Oriented Medical Record (POMR) revolutionized medical record-keeping by introducing a systematic approach focusing on the patient's problems rather than merely listing symptoms. Dr. Lawrence Weed's introduction of this method in the 1960s marked a significant advancement in medical documentation. The POMR framework consists of four key components: the database, problem list, plan of care, and progress notes.
924
Conversion of Units01:36

Conversion of Units

22.3K
Sometimes, there is a need to convert from one unit to another one. For instance, reading a cookbook in which quantities are expressed in units of liters or ounces may require conversion of quantities to cups. Or, when looking up directions on how to get to a location, we may be interested to know how many miles we are going to walk. In this case, we would have to convert units of feet or meters to miles.
The first step in the unit conversion is to list the given units and the units required...
22.3K
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
Data Collection by Observations01:08

Data Collection by Observations

11.9K
Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
11.9K
Olefin Metathesis Polymerization: Acyclic Diene Metathesis (ADMET)00:53

Olefin Metathesis Polymerization: Acyclic Diene Metathesis (ADMET)

1.9K
Acyclic diene metathesis polymerization or ADMET polymerization involves cross-metathesis of terminal dienes, such as 1,8-nonadiene, to give linear unsaturated polymer and ethylene. As ADMET is a reversible process, the formed ethylene gas must be removed from the reaction mixture to complete the polymerization process.
Similar to cross-metathesis, ADMET also involves the formation of metallacyclobutane intermediate by [2+2] cycloaddition of one of the double bonds of a terminal diene with...
1.9K

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

SyntheaWeb: A Web-Based Platform for the Generation and Interactive Inspection of Synthetic Healthcare Data.

Studies in health technology and informatics·2026
Same author

A Prescriptive Validation Framework for a Scalable Multi-Layer AI Adoption Model in 6P Medicine.

Studies in health technology and informatics·2026
Same author

EHDS Data Continuum: A Proposed IHE Integration Profile for Bridging Primary and Secondary Health Data Use.

Studies in health technology and informatics·2026
Same author

Proposed Schema Extensions and ETL Pathways for Integrating Wearable and Patient-Reported PGHD into OMOP-CDM for Secondary Use.

Studies in health technology and informatics·2026
Same author

Integration of Patient-Reported Outcomes into the OMOP Common Data Model.

Studies in health technology and informatics·2026
Same author

Artificial Intelligence For 6P Medicine: Consolidating AI Needs of Predictive, Preventive, Personalized, Participatory, Precision, and Public Health Trajectories.

Journal of medical systems·2026
Same journal

A GenAI Pipeline for Violinist Kinematic Data Management.

Studies in health technology and informatics·2026
Same journal

AMAL-For-Qatar: A Comprehensive AI Ecosystem for Fetal Ultrasound Analysis - Project Overview and Achievements.

Studies in health technology and informatics·2026
Same journal

Longitudinal Treatment-Aware Multimodal AI for Dermatology: A Scoping Review.

Studies in health technology and informatics·2026
Same journal

Predicting Postpartum Depression Using Imbalance-Aware Machine Learning.

Studies in health technology and informatics·2026
Same journal

Validation of Deep-Learning Models for Autosegmentation of Brain Metastases.

Studies in health technology and informatics·2026
Same journal

Delay-Dependent Gating in Modular RNNs.

Studies in health technology and informatics·2026
查看所有相关文章

相关实验视频

Updated: Jun 15, 2025

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

将实体-属性-值数据源转换为OMOP的CDM:吸取教训

Florian Katsch1,2, Rada Hussein1, Georg Duftschmid2

  • 1Ludwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.

Studies in health technology and informatics
|August 23, 2024
PubMed
概括
此摘要是机器生成的。

将临床数据从实体属性值 (EAV) 模型转换为观察医学结果伙伴关系 (OMOP) 共同数据模型 (CDM) 增强了其次要用途. 本文分享了从数据转换过程中学到的关键经验教训.

关键词:
在CDM中使用CDM.一个共同的数据模型.在EAVAV中使用.实体属性价值是指实体的属性价值.健康信息的互操作性 互操作性这就是OMOP的OMOP.在 RDA RDA 中使用.

更多相关视频

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.3K
Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

3.5K

相关实验视频

Last Updated: Jun 15, 2025

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
Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.3K
Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

3.5K

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
  • 临床数据管理 临床数据管理

背景情况:

  • 临床数据库经常使用实体-属性-值 (EAV) 数据模型.
  • 卫生数据的二次使用需要标准化格式,以改善分析和互操作性.

研究的目的:

  • 将EAV数据模型转换为观察医学结果伙伴关系 (OMOP) 共同数据模型 (CDM) 的经验教训描述.
  • 提供对健康数据标准化的实际挑战和策略的见解.

主要方法:

  • 在源数据元素上注册转换函数.
  • 记录数据从EAV迁移到OMOP CDM的过程.

主要成果:

  • 确定EAV到OMOPCDM转型中的关键挑战和成功策略.
  • 开发一个管理数据转换功能的框架.

结论:

  • 转换为OMOP CDM对于释放临床数据的二次使用潜力至关重要.
  • 记录转换函数对于可重复性和未来数据协调工作至关重要.