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

1.1K
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...
1.1K
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.9K
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...
5.9K
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

1.0K
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
1.0K
Pulse rhythm01:30

Pulse rhythm

1.0K
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
1.0K
Purpose of Health Records I01:11

Purpose of Health Records I

1.5K
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:
1.5K
Guidelines and Strategies for Safe Computer Charting01:18

Guidelines and Strategies for Safe Computer Charting

1.1K
The guidelines and strategies provided by the American Nurses Association (ANA) and the Canadian Nurses Association (CNA) offer essential principles for ensuring safe and secure computer charting systems in healthcare settings. Let's break down each recommendation:
Maintain Confidentiality and Security:
1.1K

You might also read

Related Articles

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

Sort by
Same author

Parent Understanding and Satisfaction with NICU Discharge for Infants with Medical Complexity: A Scoping Review of Discharge Instruction Tools.

Research square·2026
Same author

CellAwareGNN: Single-Cell Enhanced Knowledge Graph Foundation Model for Drug Indication Prediction.

bioRxiv : the preprint server for biology·2026
Same author

Obesity-Related Metabolites are Associated with Incident Coronary Heart Disease and Respond to Metabolic and Bariatric Surgery.

medRxiv : the preprint server for health sciences·2026
Same author

Development and external validation of the NEO-READY model to predict date of discharge among premature neonatal intensive care patients.

medRxiv : the preprint server for health sciences·2026
Same author

Multi-ancestry genome-wide and transcriptome-wide association analyses identified new risk loci and genes for inflammatory bowel disease.

medRxiv : the preprint server for health sciences·2025
Same author

Association of Omeprazole-Related Myopathy With Drug-Drug and Drug-Gene Interactions Involving CYP2C19 and CYP3A4: A Nested Case-Control Study.

Pharmacotherapy·2025
Same journal

Selecting, Scaling, and Measuring the Value of Ambient AI in a Nonacademic Health System: Multiphase Pilot Study.

JMIR medical informatics·2026
Same journal

Prediction of Early Hospital Admission (≤24 Hours) After Stroke Using Machine Learning and Deep Learning: Multicenter Study From China.

JMIR medical informatics·2026
Same journal

Assessing the Feasibility and Acceptability of Implementing a Preclinic Vital Signs Assessment in Primary Care: Cross-Sectional Pilot Study.

JMIR medical informatics·2026
Same journal

Candidate Passive Sensor Suite Technologies for Tactical Combat Casualty Care Environments: Comparative Assessment Study.

JMIR medical informatics·2026
Same journal

Relevance of the uMap Collaborative Platform as Support for Choropleth Mapping: A Traffic‒Light Statistical Signal Atlas of All-Cause Mortality-First French Lockdown.

JMIR medical informatics·2026
Same journal

Ambient AI Scribe Implementation in an Ambulatory Setting in a Single Medical Group: Prospective Study.

JMIR medical informatics·2026
See all related articles

Related Experiment Video

Updated: Oct 21, 2025

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
09:32

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Published on: December 18, 2016

12.6K

Measuring Collaboration Through Concurrent Electronic Health Record Usage: Network Analysis Study.

Patrick Li1, Bob Chen2, Evan Rhodes3

  • 1Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA, United States.

JMIR Medical Informatics
|September 3, 2021
PubMed
Summary
This summary is machine-generated.

Analyzing electronic health record (EHR) usage reveals significant differences in healthcare worker (HCW) collaboration intensity and temporal patterns. This framework offers insights into collaborative patient care, potentially impacting care quality and clinician well-being.

Keywords:
audit logsclusteringcollaborationconcurrent interactionelectronic health recordshealth care workershuman-computer interactioninformatics frameworkneonatal intensive care unitnetwork analysissecondary data analysissurvey instrumentvisualization

More Related Videos

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

5.8K
Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective
13:57

Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective

Published on: July 1, 2015

12.8K

Related Experiment Videos

Last Updated: Oct 21, 2025

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
09:32

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Published on: December 18, 2016

12.6K
Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

5.8K
Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective
13:57

Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective

Published on: July 1, 2015

12.8K

Area of Science:

  • Health Informatics
  • Network Analysis
  • Healthcare Management

Background:

  • Healthcare collaboration is essential for leveraging collective expertise.
  • Electronic Health Records (EHRs) offer a platform for quantifying healthcare worker (HCW) collaborations.
  • Statistical and network analysis methods can be applied to EHR data.

Purpose of the Study:

  • To measure HCW collaboration and its characteristics by analyzing concurrent EHR usage.
  • To quantify collaboration intensity and temporal patterns.
  • To explore the relationship between EHR usage and collaborative practice.

Main Methods:

  • Extracted concurrent EHR usage events from audit logs to define concurrent sessions.
  • Calculated a 'concurrent intensity' metric for each HCW.
  • Analyzed temporal patterns of EHR usage across HCWs for patient visits.
  • Utilized network analysis to map collaborative relationships.
  • Surveyed experts to validate collaboration likelihood categories.
  • Applied clustering to aggregate concurrent activities.

Main Results:

  • Significant differences in concurrent intensity and temporal patterns were observed between HCW specialties and across weekdays/weekends.
  • Identified collaborative relationships among various neonatal intensive care unit (NICU) professionals.
  • NICU professionals could distinguish high from low likelihood collaborative relationships.
  • Over 87% of concurrent sessions were described by a single cluster of activities.

Conclusions:

  • Analyzing concurrent EHR usage via audit logs enhances understanding of HCW collaboration.
  • EHR-driven collaboration analysis may influence patient care quality, discharge timeliness, and clinician workload.
  • This approach provides a novel method for studying team dynamics in healthcare settings.