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

Methods of Documentation VII: EMR01:30

Methods of Documentation VII: EMR

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 settings,...
Purpose of Health Records I01:11

Purpose of Health Records I

The vital purpose of health records is to provide a complete and accurate account of a patient's medical history, including communication, diagnostic and therapeutic orders, care planning, research, and quality review.
Here's a breakdown of how health records serve these purposes:
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...
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:
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:
Purpose of Health Records II01:19

Purpose of Health Records II

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

You might also read

Related Articles

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

Sort by
Same author

Laser treatment of hypertrophic scars: the operative and peri-operative practices of burns clinicians.

Lasers in medical science·2026
Same author

Staff Preferences for Operating Theatre Scrub Attire.

ANZ journal of surgery·2026
Same author

The Role of Explanations in AI-Generated Alerts: Qualitative Study of Clinical Views on Explainable AI in Predictive Tools.

JMIR human factors·2026
Same author

Bridging the Distance for Ischaemic Stroke Treatment in Regional Australia: A Retrospective Cohort Study.

The Australian journal of rural health·2026
Same author

Biosensor Compared With Standard Care to Identify Extravasation Injuries in Paediatric Intensive Care: A Randomised Controlled Trial.

Journal of paediatrics and child health·2026
Same author

Evaluation of a Nurse Practitioner Led Procedural Support Service for Children With Procedural Anxiety: An Effectiveness-Implementation Study.

Journal of advanced nursing·2025

Related Experiment Video

Updated: May 27, 2026

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

Exploring Technological Solutions for Interoperability Between Patient Electronic Medical Records and Clinical

Erika Haynes1,2, James Brannigan3, Jessica Suna4

  • 1School of Nursing and Midwifery, Griffith Health, Griffith University, 170 Kessels Road, Nathan, Brisbane, Queensland, 4111, Australia, 61 3735 7111.

Journal of Medical Internet Research
|May 25, 2026
PubMed
Summary

Automated interoperability solutions enhance electronic medical records (EMRs) and clinical registries by improving data exchange. This review synthesizes technologies for seamless data transfer, reducing manual entry and advancing real-world clinical data utilization.

Keywords:
data extractiondata transferelectronic medical recordinteroperabilityregistry

More Related Videos

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

Related Experiment Videos

Last Updated: May 27, 2026

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

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

Area of Science:

  • Health Informatics
  • Data Science
  • Clinical Research Technology

Background:

  • Electronic medical records (EMRs) and clinical registries improve healthcare data management, coordination, and research.
  • Effective interoperability is crucial for realizing the full potential of these systems.
  • Automated data exchange reduces manual entry and enhances the use of real-world clinical data.

Purpose of the Study:

  • To review technologies enabling automated data extraction and transfer between EMRs and clinical registries.
  • To examine solutions promoting interoperability for improved data exchange.
  • To identify automated and sustainable approaches for integrating health data.

Main Methods:

  • Systematic literature search of PubMed, CINAHL, Embase, and Web of Science (Jan 2013-Apr 2025).
  • Inclusion of studies evaluating automated or semi-automated data extraction/interoperability technologies.
  • Expert input and multi-reviewer screening ensured accuracy and relevance.

Main Results:

  • 36 studies from 12 countries met inclusion criteria, covering diverse health conditions.
  • Epic was the most common EMR; REDCap, SQL databases, and EMR-embedded solutions were frequent registry platforms.
  • Most approaches focused on structured data extraction, highlighting its importance in automated systems.

Conclusions:

  • Automated interoperability solutions advance data exchange between EMRs and registries, moving beyond isolated systems.
  • Context-specific considerations are vital for technology selection and implementation.
  • Challenges in standardization, integration, and sustainability persist, necessitating improved reporting and governance.