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 III: PIE01:21

Methods of Documentation III: PIE

2.2K
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:
2.2K
Introduction to Statistical Process Control01:15

Introduction to Statistical Process Control

747
Statistical Process Control (SPC) is a method used to monitor and control quality within processes, particularly in manufacturing and service delivery, by employing statistical methods. SPC aims to distinguish between natural (common cause) variation and variation due to specific changes or events (special cause), allowing for timely improvements and sustained quality. The control chart, a pivotal tool in SPC, visually displays data over time alongside a central line of upper and lower control...
747
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

1.0K
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...
1.0K
Healthcare Associated Infections II: Preventive Measures01:22

Healthcare Associated Infections II: Preventive Measures

4.8K
Essential infection prevention measures are based on the knowledge of the infection chain, the modes of transmission in healthcare settings, and the use of the best practices in all healthcare settings. Compulsory public reporting of healthcare-associated infection rates is needed to allow individuals and the community to make informed choices regarding selecting a healthcare facility.
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
4.8K
Acute Respiratory Failure-V01:29

Acute Respiratory Failure-V

623
The treatment for acute respiratory failure varies based on factors like the underlying cause, overall health, and severity. A collaborative healthcare team is essential for early detection, often through arterial blood gas analysis. Identifying the cause is the primary goal, with treatment strategies adjusted for ventilation/perfusion (V/Q) mismatch, shunting, or diffusion impairment.
Ensure that patients are monitored continuously for their response to therapy, including changes in...
623
Acute Respiratory Failure-IV01:23

Acute Respiratory Failure-IV

693
Respiratory failure can manifest suddenly or gradually, characterized by a rapid decline in PaO2 and a rapid rise in PaCO2. This situation indicates a severe respiratory problem that may quickly become a life-threatening emergency. One of the early signs of hypoxemic Acute Respiratory Failure (ARF) is a change in mental status due to the brain's sensitivity to oxygen levels and changes in acid-base balance. Symptoms such as restlessness, confusion, and agitation suggest inadequate oxygen...
693

You might also read

Related Articles

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

Sort by
Same author

Stakeholder-Driven Cost Management Approaches in Iranian Hospitals: A Qualitative Thematic Analysis.

Medical journal of the Islamic Republic of Iran·2026
Same author

Policy Analysis of Institutionalization of the Social Approach to Health in Iran.

Medical journal of the Islamic Republic of Iran·2025
Same author

Identifying the challenges of a telecare system establishment for older adults and providing a solution: a qualitative study.

BMC geriatrics·2025
Same author

Stakeholder analysis of banning unhealthy product advertisement in Iran.

BMC health services research·2024
Same author

Measuring Equality in Primary Health Care Budget Allocation in Iran, Using the Gini Coefficient Method.

Medical journal of the Islamic Republic of Iran·2024
Same author

Challenges and solutions to banning the advertisement of unhealthy products: a qualitative study.

BMC public health·2024

Related Experiment Video

Updated: Mar 21, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

556

A Case Study on Improving Intensive Care Unit (ICU) Services Reliability: By Using Process Failure Mode and Effects

Taraneh Yousefinezhadi1, Farnaz Attar Jannesar Nobari, Faranak Behzadi Goodari

  • 1Ph.D. Student of Health Policy, Faculty of Health, Tehran University of Medical Sciences, Tehran, Iran. t.yousefinezhadi@gmail.com.

Global Journal of Health Science
|May 10, 2016
PubMed
Summary

This study used Failure Modes and Effects Analysis (FMEA) to identify and analyze process failures in Intensive Care Units (ICUs). It found that FMEA helps improve ICU reliability by systematically addressing errors without blaming staff.

More Related Videos

Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit
05:56

Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit

Published on: September 6, 2024

7.0K
Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies
10:38

Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies

Published on: January 16, 2019

21.0K

Related Experiment Videos

Last Updated: Mar 21, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

556
Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit
05:56

Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit

Published on: September 6, 2024

7.0K
Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies
10:38

Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies

Published on: January 16, 2019

21.0K

Area of Science:

  • Healthcare Management
  • Quality Improvement
  • Patient Safety

Background:

  • Human error is inherent in complex systems like Intensive Care Units (ICUs).
  • Traditional methods of error management often focus on blame, which is ineffective for systemic improvement.
  • A systematic approach is needed to enhance ICU reliability and patient safety.

Purpose of the Study:

  • To identify and analyze process failure modes within hospital Intensive Care Units (ICUs).
  • To improve the reliability of ICU processes through a systematic error analysis.
  • To evaluate the effectiveness of Failure Modes and Effects Analysis (FMEA) in an ICU setting.

Main Methods:

  • Descriptive research utilizing qualitative data collection (observations, document reviews, Focus Group Discussions).
  • Quantitative data analysis based on Risk Priority Number (RPN) using Failure Modes and Effects Analysis (FMEA).
  • Qualitative analysis of failure causes using the Eindhoven Classification Model (ECM).

Main Results:

  • FMEA identified 378 potential failure modes in hospital A and 184 in hospital B.
  • 18 failures in hospital A and 42 in hospital B were classified as non-acceptable risks (RPN≥100).
  • ECM was used to analyze the causes of these high-risk failures.

Conclusions:

  • Modified FMEA effectively empowers staff to identify, evaluate, and analyze potential failures in ICUs.
  • Combining FMEA with ECM facilitates the identification of failure causes from a healthcare perspective.
  • This systematic approach enhances ICU process reliability and encourages staff participation in improvement without fear of blame.