Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Data Validation01:03

Data Validation

6.4K
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...
6.4K
Data Reporting and Recording01:24

Data Reporting and Recording

5.5K
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...
5.5K
Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

1.8K
The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
1.8K
Methods of Documentation II: POMR01:26

Methods of Documentation II: POMR

1.4K
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.
1.4K
Formats for Nursing Documentation01:28

Formats for Nursing Documentation

2.1K
Nursing documentation encompasses various formats designed to capture precise patient data, facilitate communication among healthcare team members, and ensure comprehensive and accurate patient records. Let's explore each of these formats in detail:
Nursing Assessment Form:
• A nursing assessment form is a foundational document that captures detailed patient data from physical assessments and nursing histories.
• It includes patient demographics, medical history,...
2.1K
Documentation in Long-Term and Home Healthcare Setting01:29

Documentation in Long-Term and Home Healthcare Setting

1.5K
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
1.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Determining Olefinic and Phenolic Fractions in Dissolved Organic Matter by Ozonation with Stable Oxygen Isotope Analysis of H<sub>2</sub>O<sub>2</sub>.

Environmental science & technology·2026
Same author

Prediction of antibiotic-associated cutaneous adverse drug reactions using electronic health record foundation models.

NPJ digital medicine·2026
Same author

Transforming unstructured breast cancer pathology reports into the Observational Medical Outcomes Partnership Common Data Model.

BMC medical informatics and decision making·2026
Same author

Transforming nursing documentation data into the Observational Medical Outcomes Partners common data model.

International journal of medical informatics·2026
Same author

High-Throughput Large-Area Roll-to-Stamp-to-Plate Transfer Printing.

ACS applied materials & interfaces·2026
Same author

Enhanced Polysulfide Redox Reaction of Co/Fe Dual-Atom Catalysts Embedded in Metal-Organic Framework-Derived Microporous Carbon Electrode for Lithium-Sulfur Cells.

Small (Weinheim an der Bergstrasse, Germany)·2026

Related Experiment Video

Updated: May 2, 2026

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

10.3K

Conversion of Nursing Statements into the OMOP Common Data Model.

Hyesil Jung1, Seok Kim2, Sooyoung Yoo2

  • 1School of Nursing, Inha University, Incheon, Republic of Korea.

Studies in Health Technology and Informatics
|May 17, 2025
PubMed
Summary

This study converted nursing statements into the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) for research. Approximately 200 million nursing records were successfully structured for observational studies.

Keywords:
Common Data ModelNursing StatementsSystematized Nomenclature of Medicine Clinical Terms

More Related Videos

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
Author Spotlight: Advancing Alzheimer's Research &#8211; Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

2.0K

Related Experiment Videos

Last Updated: May 2, 2026

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

10.3K
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
Author Spotlight: Advancing Alzheimer's Research &#8211; Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

2.0K

Area of Science:

  • Health Informatics
  • Clinical Data Management
  • Observational Health Research

Background:

  • Nursing statements contain valuable clinical information.
  • Standardizing nursing data is crucial for large-scale observational studies.
  • Existing data formats may not be optimal for research.

Purpose of the Study:

  • To convert unstructured nursing statements into a standardized format.
  • To enable the use of nursing data in observational research using the OMOP Common Data Model (CDM).
  • To facilitate data harmonization and analysis of nursing-related information.

Main Methods:

  • Nursing statements were mapped to Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT) concepts.
  • An Extract, Transform, Load (ETL) process was employed for data conversion.
  • Data were structured into the OMOP CDM, populating OBSERVATION, PROCEDURE_OCCURRENCE, and MEASUREMENT tables.

Main Results:

  • Successful conversion of nursing statements into the OMOP CDM format.
  • Approximately 200 million nursing statements were processed and loaded.
  • Data integrated into key OMOP CDM tables for research.

Conclusions:

  • The developed method effectively standardizes nursing statements for observational studies.
  • This facilitates the utilization of rich nursing data in health research.
  • The OMOP CDM provides a robust framework for nursing data analysis.