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

Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

1.5K
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...
1.5K
Errors occurring during blood pressure monitoring01:25

Errors occurring during blood pressure monitoring

1.2K
Blood pressure monitoring is a crucial clinical procedure in diagnosing and managing various cardiovascular conditions. Despite its significance, the accuracy of blood pressure measurements can be compromised by multiple factors, potentially leading to either falsely high or low readings. These inaccuracies are critical as they can significantly impact patient care. So, it is vital to understand these challenges deeply and adopt strategic approaches to minimize errors.
Several factors...
1.2K
Types of Reports II: Incident or Occurrence Report01:21

Types of Reports II: Incident or Occurrence Report

1.1K
An Incident or Occurrence Report in a healthcare setting is a crucial document used to record any unexpected occurrence that may or may not have affected a patient, employee, or visitor. Such reports are critical to improving patient safety and include all details leading up to and including the event.
Purposes:
In the healthcare industry, reports play a crucial role in documenting incidents within an agency. The primary objective of these reports is to ensure patient safety, uphold the...
1.1K
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

1.0K
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
1.0K
Guidelines and Strategies for Safe Computer Charting01:18

Guidelines and Strategies for Safe Computer Charting

1.2K
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:
1.2K
Preventive Healthcare Services01:30

Preventive Healthcare Services

1.5K
Preventive healthcare services keep people healthy via frequent check-ups, screening, and counseling. They primarily aid in disease prevention rather than treating an acute or chronic illness. Preventive treatment also keeps individuals productive and energetic, allowing them to work well into their retirement years. Examples of preventive care services include:
1.5K

You might also read

Related Articles

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

Sort by
Same author

Hospital and Emergency Department Pediatric Capability, Patient Characteristics, and Radiology Imaging for Children.

JAMA network open·2026
Same author

Achievable Benchmarks of Care in Pediatric Emergency Departments.

JAMA network open·2026
Same author

Nonsyndromic familial type B aortic dissection exhibits distinct clinical profiles and operative outcomes.

Journal of vascular surgery·2026
Same author

Performance of Open-Source LLMs in Identifying Pediatric Pneumonia From Free-Text Chest Radiograph Reports.

Pediatric emergency care·2026
Same author

Pediatric self-reported pain outcomes via texting following emergency department discharge: How does it compare to parent's perception?

Paediatrics & child health·2026
Same author

Type A acute aortic dissection complicated by preoperative myocardial infarction: Insights from the International Registry of Acute Aortic Dissection.

JTCVS open·2026

Related Experiment Video

Updated: Nov 30, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.4K

Identifying trigger concepts to screen emergency department visits for diagnostic errors.

Prashant Mahajan1, Chih-Wen Pai1, Karen S Cosby2

  • 1Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, USA.

Diagnosis (Berlin, Germany)
|November 12, 2020
PubMed
Summary

Researchers identified electronic health record (EHR) triggers and non-EHR signals to detect diagnostic errors in emergency departments (EDs). These methods can help monitor and improve diagnostic safety, reducing preventable harm.

Keywords:
diagnostic erroremergency departmentpatient safetytrigger concepts

More Related Videos

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
09:52

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Published on: January 15, 2017

17.5K
A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
04:19

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

Published on: May 10, 2022

4.2K

Related Experiment Videos

Last Updated: Nov 30, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.4K
Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
09:52

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Published on: January 15, 2017

17.5K
A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
04:19

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

Published on: May 10, 2022

4.2K

Area of Science:

  • Emergency Medicine
  • Patient Safety
  • Diagnostic Error Research

Background:

  • Diagnostic errors are a significant concern in emergency departments (EDs), impacting patient safety.
  • Current methods for identifying and monitoring diagnostic errors in the ED are not standardized, hindering improvement efforts.

Purpose of the Study:

  • To identify trigger concepts for screening ED records for diagnostic errors.
  • To describe a measurement strategy for identifying and reducing preventable diagnostic harm in the ED.

Main Methods:

  • Conducted a literature review and surveyed ED directors to identify potential electronic health record (EHR) triggers and non-EHR concepts.
  • Convened a multidisciplinary expert panel to reach consensus on trigger concepts for improving ED diagnostic safety.

Main Results:

  • Selected six EHR-based trigger concepts (e.g., unscheduled return visits, death post-ED visit, care escalation) and five non-EHR signals (e.g., mortality/morbidity conferences, patient complaints).
  • Proposed refinements for future research on diagnostic error epidemiology in ED settings.

Conclusions:

  • Identified a set of EHR triggers and non-EHR signals that can be further developed for screening ED visits for diagnostic safety events.
  • Trigger-based methods, with further evaluation, can serve as valuable tools for monitoring and enhancing ED diagnostic performance.