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

Nursing Clinical Information System01:27

Nursing Clinical Information System

846
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:
846
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

891
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
891
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

612
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...
612
Integrated Healthcare System01:20

Integrated Healthcare System

1.7K
An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...
1.7K
Methods of Documentation IV: Focus Charting01:26

Methods of Documentation IV: Focus Charting

1.1K
Focus Charting, also known as the focus charting system or "focus documentation," is a systematic documentation approach used in healthcare to organize patient information in medical records.
It typically involves three columns for recording information:
1.1K
Methods of Documentation III: PIE01:21

Methods of Documentation III: PIE

1.4K
Problem-intervention-evaluation (PIE) is a systematic approach to documentation used in healthcare settings for clinical decision-making and patient care planning. It is a structured approach to organizing patient data based on problems, interventions, and evaluations. Here's a breakdown of its key features and considerations:
1.4K

You might also read

Related Articles

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

Sort by
Same author

Technophobia and computer anxiety in older adults: a systematic review of the influencing factors.

BMC public health·2026
Same author

Using an adaptive network-based fuzzy inference system for prediction of successful aging: a comparison with common machine learning algorithms.

BMC medical informatics and decision making·2023
Same author

Investigating the performance of machine learning algorithms in predicting the survival of COVID-19 patients: A cross section study of Iran.

Health science reports·2023
Same author

Technical aspects of virtual augmented reality-based rehabilitation systems for musculoskeletal disorders of the lower limbs: a systematic review.

BMC musculoskeletal disorders·2023
Same author

Diagnosis of COVID-19 Disease in Chest CT-Scan Images Based on Combination of Low-Level Texture Analysis and MobileNetV2 Features.

Computational intelligence and neuroscience·2022
Same author

Developing the minimum data set of the corrosive ingestion registry system in Iran.

BMC health services research·2022

Related Experiment Video

Updated: Aug 14, 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

7.2K

A fog-assisted information model based on priority queue and clinical decision support systems.

Azita Yazdani1, Seyedeh Fatemeh Dashti2, Yeganeh Safdari3

  • 1Health Information Management Department, Shiraz University of Medical Sciences, Shiraz, Iran; Health Human Resources Research Center, Shiraz University of Medical Sciences, Shiraz, Iran; Clinical Education Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.

Health Informatics Journal
|January 16, 2023
PubMed
Summary

This study introduces a priority queue service in fog computing for telehealth monitoring, significantly reducing response time and latency. The enhanced fog-based model improves efficiency compared to traditional cloud computing.

Keywords:
Cloud computingclinical decision support systemfog computingpriority queuetelehealth

More Related Videos

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

3.9K
Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:30

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

159

Related Experiment Videos

Last Updated: Aug 14, 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

7.2K
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

3.9K
Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:30

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

159

Area of Science:

  • Computer Science
  • Health Informatics

Background:

  • Telehealth monitoring applications are highly sensitive to latency.
  • Current fog-based models primarily focus on improving response time and latency.

Purpose of the Study:

  • To introduce a novel "priority queue" service within the fog layer for telehealth monitoring.
  • To reduce response time and latency by prioritizing events from various sources.

Main Methods:

  • Performance analysis of a proposed fog-enabled cloud model using the IFogSim toolkit.
  • Evaluation using the Pima Indian diabetes dataset.
  • Comparison based on response time, latency, and network usage.

Main Results:

  • The fog layer with priority queues effectively improved response time, especially during emergencies.
  • The proposed model achieved a 25.8% reduction in response time, 36.18% in latency, 28.17% in bandwidth, and 41.4% in network usage compared to cloud computing.

Conclusions:

  • Combining priority queues and fog computing significantly reduces network usage, latency, bandwidth, and response time.
  • The proposed approach offers a more efficient solution for latency-sensitive telehealth applications.