جستجوی مقالات مرتبط با کلیدواژه "ET" در نشریات گروه "پزشکی"

medical centers are among the most important healthcare facilities where following safety rules is of great importance because of the potential hazards existing in such places. Following safety rules is for preventing or reducing accidents by removing or controlling hazards. This research aims to identify and assessment the risks related to the intensive care unit (ICU); a case study in Loghman Hakim hospital, department of brain and neurosurgery, by using energy trace and barrier analysis (ETBA).

this is a descriptive-analytical study done on the ICU of Loghman Hakim hospital (department of brain and neurosurgery) in order to identify and assessment the risks by the use of ETBA method in 2019. All data were analyzed by using SPSS 23 software, then the central criteria were used for data description, and analytical criteria were used for analyzing the data.

according to the filled-out ETBA worksheets, 10 energy types and 35 risks were identified. As shown in MIL-STD882B, 13 risks were at the unacceptable level, 17 risks undesirable, and 5 risks acceptable with conditions.

the most dangerous identified energies in the ICU have included the explosion of pressured cylinders, electrocution, fire caused by electricity, slipping, falling off the bed because there is no bed-side closed sign, infections, and medical wastes. Considering the sensitivity of the participants under the study and also high probability of unacceptable risks, controlling actions, corrective actions, appropriate management techniques for making the environment safe and reducing the probability of accidents have been implemented so that both patients and staff would be safe.

Considering application of multiple electrical equipment, numerous occupational accidents occur in hospitals each year. Electrical accidents are severe and impose high costs on the individuals and organizations. The aim of this study was to assess the risk of electrical systems in one of the oldest hospitals under supervision of Baqiyatallah University using energy trace and barrier analysis method (ETBA).

 All wall plugs, switches, stationary and portable equipment, and stationary and portable electrical panel were evaluated in terms of earthing and appearance. This was done using a simple voltmeter and a 100-watt bulb. All equipment and electrical panel were examined for the presence of Residual Current Device. The ETBA worksheets were completed for each equipment and workstation. The existing barriers were identified and initial risk reduction numbers were calculated. Barriers and solutions were suggested for the equipment or workstation that was at higher risk. Controlled risk was calculated by considering new barriers.

The ETBA worksheets were completed for 71 devices and workstations. The initial and controlled risk was calculated. Surveys revealed that all sections of the main building and the departmental structures did not have a good status regarding the earth condition. Risk assessment of the equipment and stations by ETBA method indicated that 97% of the equipment were not at an acceptable level of risk, 52% were at the unacceptable risk level, 45% were at undesirable risk level, and only 3% were at the acceptable risk.

The results of this study can be used to prioritize resource allocation to eliminate hospital defects and reduce the risk of accidents up to an acceptable level.

Electrical industries are among high risk industries. The present study aimed to assess safety risk in electricity distribution processes using ET&BA technique and also to compare with both VIKOR & TOPSIS methods in fuzzy environments.
Material and The present research is a descriptive study and ET&BA worksheet is the main data collection tool. Both Fuzzy TOPSIS and Fuzzy VIKOR methods were used for the worksheet analysis.
Findings revealed that overhead low and medium voltage power distribution networks had the highest risk among the other network types of transmission and distribution of electricity. Also, it was found that TOPSIS and VIKOR methods are appropriate to rank the safety risks with somehow similar results.
The height and electricity are of the main causes of accidents in electricity transmission and distribution industry which caused the overhead power networks to be ranked as high risk. Application of decision-making models in fuzzy environment minimizes the judgment of assessors in the risk assessment process.