Zuhal Y. Hamd , Haifa I. Alrebdi , Melaf Alshammeri , Alabdul-Monem Shahad , Rawan Alhowaymel , Al-dosari Mashael , Mohamed M. Abuzaid , Mayeen Uddin Khandaker , Hamid Osman
{"title":"评估沙特阿拉伯一所大学医院医护人员的职业辐射暴露趋势和安全干预措施","authors":"Zuhal Y. Hamd , Haifa I. Alrebdi , Melaf Alshammeri , Alabdul-Monem Shahad , Rawan Alhowaymel , Al-dosari Mashael , Mohamed M. Abuzaid , Mayeen Uddin Khandaker , Hamid Osman","doi":"10.1016/j.radphyschem.2025.112817","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates the occupational radiation exposure levels among 50 healthcare professionals, including Radiographers, Nurses, and Radiologists, who were monitored for radiation doses across various operational scenarios within the Diagnostic Radiology and Nuclear Medicine departments at a university hospital, consisting of approximately 54 % males and 46 % females, from 2020 to 2022. The lowest recorded radiation exposure was 0.11 mSv, and the highest was 0.88 mSv, with all values remaining below the recommended safety limit of 20 mSv. Results indicate that both departments experienced reduced radiation exposure in 2020 due to pandemic-related operational changes, with subsequent years showing divergent trends. The Diagnostic Radiology department stabilized radiation levels, suggesting effective refinement of safety protocols. In contrast, the Nuclear Medicine department observed a concerning increase in radiation exposure, highlighting areas needing enhanced safety measures. A Machine Learning Linear Regression model has been used to examine the relationship between various predictor variables and the radiation levels. The result shows that these predictors explain only about 9.2 % of the variance in radiation levels. This study underscores the importance of continuous monitoring and tailored interventions to ensure the health and safety of radiation workers, reflecting dynamic changes in healthcare practices and the critical need for robust radiation safety frameworks.</div></div>","PeriodicalId":20861,"journal":{"name":"Radiation Physics and Chemistry","volume":"235 ","pages":"Article 112817"},"PeriodicalIF":2.8000,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessing occupational radiation exposure trends and safety interventions for healthcare professionals at a university hospital in Saudi Arabia\",\"authors\":\"Zuhal Y. Hamd , Haifa I. Alrebdi , Melaf Alshammeri , Alabdul-Monem Shahad , Rawan Alhowaymel , Al-dosari Mashael , Mohamed M. Abuzaid , Mayeen Uddin Khandaker , Hamid Osman\",\"doi\":\"10.1016/j.radphyschem.2025.112817\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study investigates the occupational radiation exposure levels among 50 healthcare professionals, including Radiographers, Nurses, and Radiologists, who were monitored for radiation doses across various operational scenarios within the Diagnostic Radiology and Nuclear Medicine departments at a university hospital, consisting of approximately 54 % males and 46 % females, from 2020 to 2022. The lowest recorded radiation exposure was 0.11 mSv, and the highest was 0.88 mSv, with all values remaining below the recommended safety limit of 20 mSv. Results indicate that both departments experienced reduced radiation exposure in 2020 due to pandemic-related operational changes, with subsequent years showing divergent trends. The Diagnostic Radiology department stabilized radiation levels, suggesting effective refinement of safety protocols. In contrast, the Nuclear Medicine department observed a concerning increase in radiation exposure, highlighting areas needing enhanced safety measures. A Machine Learning Linear Regression model has been used to examine the relationship between various predictor variables and the radiation levels. The result shows that these predictors explain only about 9.2 % of the variance in radiation levels. 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Assessing occupational radiation exposure trends and safety interventions for healthcare professionals at a university hospital in Saudi Arabia
This study investigates the occupational radiation exposure levels among 50 healthcare professionals, including Radiographers, Nurses, and Radiologists, who were monitored for radiation doses across various operational scenarios within the Diagnostic Radiology and Nuclear Medicine departments at a university hospital, consisting of approximately 54 % males and 46 % females, from 2020 to 2022. The lowest recorded radiation exposure was 0.11 mSv, and the highest was 0.88 mSv, with all values remaining below the recommended safety limit of 20 mSv. Results indicate that both departments experienced reduced radiation exposure in 2020 due to pandemic-related operational changes, with subsequent years showing divergent trends. The Diagnostic Radiology department stabilized radiation levels, suggesting effective refinement of safety protocols. In contrast, the Nuclear Medicine department observed a concerning increase in radiation exposure, highlighting areas needing enhanced safety measures. A Machine Learning Linear Regression model has been used to examine the relationship between various predictor variables and the radiation levels. The result shows that these predictors explain only about 9.2 % of the variance in radiation levels. This study underscores the importance of continuous monitoring and tailored interventions to ensure the health and safety of radiation workers, reflecting dynamic changes in healthcare practices and the critical need for robust radiation safety frameworks.
期刊介绍:
Radiation Physics and Chemistry is a multidisciplinary journal that provides a medium for publication of substantial and original papers, reviews, and short communications which focus on research and developments involving ionizing radiation in radiation physics, radiation chemistry and radiation processing.
The journal aims to publish papers with significance to an international audience, containing substantial novelty and scientific impact. The Editors reserve the rights to reject, with or without external review, papers that do not meet these criteria. This could include papers that are very similar to previous publications, only with changed target substrates, employed materials, analyzed sites and experimental methods, report results without presenting new insights and/or hypothesis testing, or do not focus on the radiation effects.