Evidence map›Paper›PMID 42038873›Full record

ArticleGalen medical journal2025

Hazard Identification and Risk Assessment Using Energy Tracing and Barrier Analysis Method in the Imaging Department of Amir al-Momenin Ali (AS) Hospital in Gerash City :.

Amir Bahardoost, Sanaz Khoramipour, Behnoosh Khoshmanesh

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Article in Galen medical journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Amir BahardoostDepartment of Environment, Wt.c., Islamic Azad Univercity, Tehran, Iran.
Sanaz KhoramipourDepartment of Environment, Wt.c., Islamic Azad Univercity, Tehran, Iran.
Behnoosh KhoshmaneshDepartment of Environment, Wt.c., Islamic Azad Univercity, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hospitals are considered one of the most important institutions providing health services; given the presence of specific hazards, compliance with safety principles is of utmost importance. This study aimed to identify and evaluate the risk of existing hazards using the Energy Tracing and Barrier Analysis (ETBA) method in the imaging department. Materials and Methods: The present study is an analytical study performed to assess the risk in the imaging department of Amir al-Momenin Ali (AS) State Hospital in Gerash in 2024. In this study, potential risks were identified using the ETBA technique and qualitatively assessed via the risk matrix (MIL-STD882E). Observation, interviews with department experts, review of documents, work instructions, technical documents of devices, layout of devices, as well as documents of the maintenance and repair unit of this department were used for data collection. Results: A total of 433 risks were identified, 232 of which were human-related, 167 were equipment-related and 34 were environmental-related. At the primary risk level, 13 were identified as unacceptable risks (high level) requiring immediate intervention, 281 as undesirable risks (serious level), 79 as acceptable risks with revision (medium level), and 61 as acceptable risks (low level). At the secondary risk level, once the controls were implemented, the results improved and the number of undesirable risks dropped to 18, 274 as medium level, and 141 as low level, demonstrating the effectiveness of the controls in mitigating risks. Conclusion: In this study, in addition to obtaining the level of risks in the hospital imaging department, the level of possible risks in each of those departments was also measured. Further, based on the existing assessment levels, control measures and suggestions were presented. They included implementing measures such as safety training, periodic inspection monitoring system, operator training, protection control, cable inspection, installation of overload alarms, improving preventive maintenance, as well as providing appropriate educational solutions to control the identified risks.

Indexed as

ETBA MethodHazard IdentificationHospitalRisk Assessment

Identifiers

PMID42038873
PMCPMC12825105

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