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Related Concept Videos

Design Consideration01:22

Design Consideration

535
Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
The factor of safety is another key...
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Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

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Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
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Response Surface Methodology01:16

Response Surface Methodology

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Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
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Hazard Rate01:11

Hazard Rate

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The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
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Reclosers and Fuses01:26

Reclosers and Fuses

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Automatic circuit reclosers enhance the protection of distribution circuits by interrupting and auto-reclosing an AC circuit according to a preset sequence. They effectively manage temporary faults on overhead distribution lines, often caused by tree limbs or wildlife, by briefly disrupting service to improve overall reliability. However, contact with reclosers or energized broken conductors on the ground can pose serious hazards.
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Surfactant Stock Optimization for Cost Minimization in Neonatal Intensive Care Units.

Journal of healthcare engineering·2021
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Precautionary Recommendation System in Risk Management: A FMEA-Based Approach.

Müfide Narlı1

  • 1Faculty of Engineering, Cukurova University, Adana, Turkey.

Risk Management and Healthcare Policy
|October 29, 2025
PubMed
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This study introduces a rule-based Failure Mode and Effects Analysis (FMEA) to guide precaution selection in healthcare. The model offers a repeatable, explainable decision-support tool, improving risk management.

Keywords:
FMEARPNdecision support systemrisk control measuresrule-based decision model

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Area of Science:

  • Healthcare Risk Management
  • Medical Device Safety
  • Clinical Engineering

Background:

  • Failure Mode and Effects Analysis (FMEA) is a common risk management tool.
  • Current FMEA methods, like Risk Priority Number (RPN), lack systematic guidance for selecting appropriate precautions.
  • This gap hinders effective risk mitigation in critical healthcare settings.

Purpose of the Study:

  • To introduce a novel rule-based FMEA model for systematic precaution selection.
  • To address the limitations of traditional FMEA in guiding specific risk control measures.
  • To enhance decision-making in healthcare risk management.

Main Methods:

  • Developed a multi-dimensional rule-based FMEA model incorporating numerical parameters (probability, severity, detectability, RPN) and contextual variables.
  • Structured the model based on the Occupational Health and Safety precaution hierarchy, defining six precaution classes.
  • Validated the model's consistency, sensitivity, and applicability in a Neonatal Intensive Care Unit (NICU) setting.

Main Results:

  • The FMEA identified 24 infection-related failure modes in the NICU.
  • Contextual variables significantly impacted recommended precautions, with administrative and training measures being most frequent.
  • Personal Protective Equipment (PPE) was consistently advised for exposure risks, and expert evaluation showed 95.8% agreement.

Conclusions:

  • A rule-based system provides a repeatable and explainable decision-support tool for FMEA.
  • This approach is particularly valuable in high-risk environments like healthcare.
  • The study contributes a novel method for enhancing FMEA's practical application in patient safety.