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

The Availability Heuristic01:08

The Availability Heuristic

5.9K
A heuristic is a general problem-solving framework (Tversky & Kahneman, 1974). You can think of these as mental shortcuts that are used to solve problems. Different types of heuristics are used in different types of situations, and the impulse to use a heuristic occurs when one of five conditions is met (Pratkanis, 1989):
5.9K
SBAR II: Application of SBAR01:14

SBAR II: Application of SBAR

4.3K
SBAR is an effective communication tool used by healthcare professionals to communicate patient information accurately. SBAR stands for Situation, Background, Assessment, and Recommendation. For a better understanding, an example is given below.
SBAR Report from a Nurse to a Health Care Provider
S: "Hello, Dr. Smith. This is Jane, RN, from the Med Surg unit. I am calling to tell you about Ms. White in Room 210, who is experiencing increased pain and redness at her incision site. Her recent...
4.3K
SBAR I: Understanding the Concept01:29

SBAR I: Understanding the Concept

4.4K
Effective communication among healthcare professionals during hand-off reporting is essential to delivering safe and continuous patient care. Common professional interactions include reports to healthcare team members, hand-off, and transfer reports. Nurses routinely report information to other healthcare team members and also urgently contact healthcare providers to report changes in patient status.
Standardized methods of communication have been developed to ensure that information is...
4.4K
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

559
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
559
Types of Reports III: Telephone and Verbal Reports01:26

Types of Reports III: Telephone and Verbal Reports

721
Telephone and Verbal Reports in healthcare settings are two communication methods for conveying therapeutic instructions from healthcare providers to nurses or other healthcare staff.
Here's an overview of each type:
Telephone Orders
721
Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

39
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
39

You might also read

Related Articles

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

Sort by
Same author

Extracellular Vesicles (EVs) Mirror Their Source: Comparative Analysis of Bone Marrow-Derived and Adipose-Derived Stem Cells and EVs in Bone Regeneration.

Cellular and molecular bioengineering·2026
Same author

Divergent Small Vessel Disease Burden in Warfarin-Associated and Direct Oral Anticoagulant-Associated Intracerebral Hemorrhage.

Journal of stroke·2026
Same author

Response to letter to the editor: "Very early neurological deterioration as a significant predictor of poor outcomes in AIS patients".

Journal of the Formosan Medical Association = Taiwan yi zhi·2026
Same author

Time-Dependent Association Between Prehospital Blood Pressure and Outcomes in Acute Spontaneous Intracerebral Hemorrhage.

European journal of neurology·2026
Same author

Enhancing intraoperative safety through an intelligent surgical instrument verification system based on computer vision technologies.

International journal for quality in health care : journal of the International Society for Quality in Health Care·2026
Same author

Quantitative assessment of rheumatoid arthritis treatment response using short-wave infrared hyperspectral imaging soft abundance scoring.

Journal of biomedical optics·2026

Related Experiment Video

Updated: Jun 6, 2025

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

17.1K

The emergency medical service dispatch recommendation system using simulation based on bed availability.

Yeong-Yuh Xu1, Shao-Jen Weng2, Ping-Wen Huang3

  • 1Department of Artificial Intelligence and Computer Engineering, National Chin-Yi University of Technology, Taichung, Taiwan.

BMC Health Services Research
|November 30, 2024
PubMed
Summary

This study developed a predictive system to forecast emergency department and intensive care unit bed availability for ambulance dispatch. The system improves patient care by recommending optimal hospital destinations based on real-time data and predicted capacity.

Keywords:
EmergencyForecastingHealthcare networkSimulationWeb crawler

More Related Videos

Emergency Undocking in Robotic Surgery: A Simulation Curriculum
06:48

Emergency Undocking in Robotic Surgery: A Simulation Curriculum

Published on: May 20, 2018

9.2K
Prehospital Thrombolysis: A Manual from Berlin
05:52

Prehospital Thrombolysis: A Manual from Berlin

Published on: November 26, 2013

21.8K

Related Experiment Videos

Last Updated: Jun 6, 2025

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

17.1K
Emergency Undocking in Robotic Surgery: A Simulation Curriculum
06:48

Emergency Undocking in Robotic Surgery: A Simulation Curriculum

Published on: May 20, 2018

9.2K
Prehospital Thrombolysis: A Manual from Berlin
05:52

Prehospital Thrombolysis: A Manual from Berlin

Published on: November 26, 2013

21.8K

Area of Science:

  • Emergency Medicine
  • Health Informatics
  • Operations Research

Background:

  • Increasing demand on emergency medical services (EMS) in Taiwan strains hospital resources.
  • Limited medical resource allocation can lead to delayed patient admissions.
  • Current EMS practices often lack predictive capabilities for future bed availability.

Purpose of the Study:

  • To develop a forecasting system for predicting emergency department (ED) and intensive care unit (ICU) bed availability.
  • To enhance ambulance dispatch decision-making by providing timely hospital recommendations.
  • To optimize patient flow within the emergency medical services network.

Main Methods:

  • A simulation-based forecasting system was developed, integrating Google Maps for routing.
  • Web crawlers were utilized to continuously collect open data from emergency information systems.
  • An arrival transfer mechanism processed raw data into simulation inputs for forecasting.

Main Results:

  • The system demonstrated high forecast accuracy for ED and ICU bed availability (e.g., 100% and 92.1% for 60-min predictions).
  • Hospital recommendations were generated considering bed availability, routing distance, and multi-dimensional assessments.
  • Forecast accuracy was validated for 20, 40, and 60-minute intervals across 10 central Taiwan hospitals.

Conclusions:

  • This research addresses a gap in EMS by incorporating future bed availability into decision-making.
  • The developed system provides crucial support for EMS dispatchers in selecting appropriate hospitals.
  • The findings suggest a pathway to more efficient resource allocation and improved patient outcomes in emergency care.