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

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
Methods of Documentation V: CBE01:23

Methods of Documentation V: CBE

878
Charting by Exception, or CBE, is a method of documentation used in healthcare, particularly in nursing, that focuses on documenting only significant or abnormal findings rather than recording every detail. This approach aims to streamline the documentation process, improve efficiency, and ensure that healthcare providers can quickly identify deviations from normalcy in patient assessments.
In CBE, healthcare professionals establish predefined standards of practice that define what constitutes...
878
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
Data Collection II01:29

Data Collection II

7.9K
The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and...
7.9K
Purpose of Health Records II01:19

Purpose of Health Records II

962
Health records serve various essential purposes in the healthcare system. Here are some key purposes:
962

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

Extracting and Classifying Drug Discontinuations From Estonian Electronic Health Records: Development and Validation Study.

Journal of medical Internet research·2026
Same author

Venous and arterial thromboembolic events after COVID-19 during the Omicron period in three European countries.

Scientific reports·2026
Same author

Systematic evaluation of medication adherence determinants across 137 active substances on population-level real-world health data.

Communications medicine·2026
Same author

Data Resource Profile: Linking nationwide health and social registries in Estonia (BIG-HEART).

International journal of epidemiology·2026
Same author

A Comprehensive Approach to Days' Supply Estimation in a Real-World Prescription Database: Algorithm Development and Validation Study.

Online journal of public health informatics·2026
Same author

Comorbidities, medication use, and overall survival in eight cancers: a multinational cohort study of 1.7 million patients across Europe.

The Lancet regional health. Europe·2026
Same journal

Evaluation of temporal preservation in synthetic longitudinal patient data.

Journal of biomedical informatics·2026
Same journal

ARKE: An ontology-driven framework for automated mapping of local radiology procedure terms to the LOINC-RadLex playbook using large language model.

Journal of biomedical informatics·2026
Same journal

A validation-driven training controller for cross-lingual biomedical NER via reinforcement learning-based adaptive loss weighting.

Journal of biomedical informatics·2026
Same journal

ASP-HR: An Adaptive Spatial Perception and Hierarchical Reasoning mechanism for document-level biomedical relation extraction.

Journal of biomedical informatics·2026
Same journal

Beyond Accuracy: Safety-Centered guidelines for the evaluation of LLM-based therapy recommendation systems for chronic multimorbidity patients.

Journal of biomedical informatics·2026
Same journal

DeepEN: A deep reinforcement learning framework for personalized enteral nutrition in critical care.

Journal of biomedical informatics·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

从HL7 CDA文件中提取健康数据的可重复过程.

Harry-Anton Talvik1, Marek Oja2, Sirli Tamm2

  • 1Institute of Computer Science, University of Tartu, 51009 Tartu, Estonia; STACC, 51009 Tartu, Estonia.

Journal of biomedical informatics
|December 28, 2024
PubMed
概括
此摘要是机器生成的。

我们开发了一个可重复的提取-转换-负载 (ETL) 管道,将临床文档架构 (CDA) 数据转换为观察医疗结果伙伴关系 (OMOP) 共同数据模型 (CDM),用于爱沙尼亚的研究.

关键词:
在 ETLTL 中,您可以使用 ETL.HL7 临床文档架构 临床文档架构在NLP中,我们使用了NLP.在OMOP的CDM中,OMOP的CDM是最重要的.管道管道 管道管道管道工作流的工作流.

更多相关视频

Reduced Procedure Time and Variability with Active Esophageal Cooling During Radiofrequency Ablation for Atrial Fibrillation
04:58

Reduced Procedure Time and Variability with Active Esophageal Cooling During Radiofrequency Ablation for Atrial Fibrillation

Published on: August 25, 2022

2.2K
Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients
03:47

Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients

Published on: July 12, 2024

715

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
Reduced Procedure Time and Variability with Active Esophageal Cooling During Radiofrequency Ablation for Atrial Fibrillation
04:58

Reduced Procedure Time and Variability with Active Esophageal Cooling During Radiofrequency Ablation for Atrial Fibrillation

Published on: August 25, 2022

2.2K
Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients
03:47

Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients

Published on: July 12, 2024

715

科学领域:

  • 医疗信息学 医疗信息学
  • 生物医学数据科学 生物医学数据科学

背景情况:

  • 临床文档架构 (CDA) 是电子健康记录的标准.
  • 观察医学结果伙伴关系 (OMOP) 共同数据模型 (CDM) 标准化了研究的健康数据.
  • 将现实世界CDA数据转换为OMOP CDM对于大规模的健康研究至关重要,但存在挑战.

研究的目的:

  • 开发和验证可重复的提取转换负载 (ETL) 管道,用于将爱沙尼亚HL7 CDA文档转换为OMOP CDM.
  • 在映射阶段之前处理数据提取和重组的初始步骤.
  • 创建一个高质量的,结构化的数据格式,适应不断变化的数据交换标准和各种研究需求.

主要方法:

  • 开发了一个可重复的ETL管道,用于从CDA到OMOP CDM的数据提取,清理和重组.
  • 设计了管道,以适应数据格式的变化和各种CDA文档子集.
  • 代开发了管道,以确保快速检测和纠正错误.

主要成果:

  • 成功地将诊断代码,体重,eGFR测量和PAP测试结果从CDA转换为OMOP CDM.
  • 证明了提取结构化数据的轻松性,尽管在协调编码系统和提取自由文本实验室结果方面存在挑战.
  • 代过程提高了管道效率,并促进了错误的纠正.

结论:

  • 经过十年的开发,ETL管道有效地将HL7 CDA转化为爱沙尼亚的OMOP CDM.
  • 该管道是可重复的,可适应各种数据子集,并且对健康数据研究人员有价值.
  • 虽然在爱沙尼亚进行了测试,但这些原则广泛适用于不同的国际健康数据标准和CDA对回顾性研究的持续相关性.