• 보건의료산업학회지
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• 제3권1호
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• pp.5-13
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• 2009

The purpose of this study is to find ways of improving radiology services provided at hospitals through examining current problems of the services and measuring patient satisfaction about them For the purpose, this researcher made a questionnaire survey of 209 patients who used the radiology departments of two university hospitals as tertiary medical institutions located in Busan. The survey was carried out from June 1 to July 30, 2008. Results of the study can be summarized as follows. The patients' satisfaction about the kindness of radiologists was generally low since it Was measured to be scored 3.0 or below in average. This indicates that they were dissatisfied with the equipment and environment. The patients' anxiety about the process of radiology was measured and scored 3.0 or below in average, indicating they generally felt anxious about the process. Factors affecting the above reliability such as their skillfulness, qualification, persuasiveness and expertise were found positively correlated with the patients' satisfaction about the radiologists. To realize Better radiological department services, in conclusion, radiologists are required to resort to conventional practices of radiology no longer, and reconsider current radiological technologies. They are also required to firmly establish their pride as a professional, and make best efforts to keep pace with this era of rapid scientific development by constantly training themselves.

• 한국산학기술학회논문지
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• 제22권2호
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• pp.418-426
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• 2021

이 연구는 방사선 발생장치 제조업체 종사자와 의료기관 종사자들 간의 방사선안전관리에 대한 인식을 알아보고 적극적인 대처능력과 안전수준을 향상시키는데 기초자료로 활용하기 위하여 연구조사하게 되었다. 방사선에 대한 지식, 태도 실천 점수는 성별, 연령, 결혼상태, 직종, 직위, 현 직장근무기간, 직장 총 근무기간, 방사선 관련 유사업무 유무, 매뉴얼 비치 여부, 방어 시설유지 여부, 방어 장비보유 수, 방사선 안전교육 여부, 특수건강검진 여부, 방사선 용어인지 여부와 관련이 있었으며, 특히 방사선 관련 직종에서 방사선사의 지식 점수가 가장 높았다(p<0.05). 방사선 안전관리는 방사선제조업체 종사자 및 의료기관 종사자 모두 방사선 노출에 적극적인 방어 노력이 필요하며방사선 안전관리를 위해서는 지침 준수, 주기적인 교육, 시설보강, 매뉴얼 작성, 특수 건강검진 등 제도적 장치가 필요하다.

• Korean Journal of Radiology
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• 제24권5호
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• pp.454-464
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• 2023

Objective: We aimed to investigate current expectations and clinical adoption of artificial intelligence (AI) software among neuroradiologists in Korea. Materials and Methods: In April 2022, a 30-item online survey was conducted by neuroradiologists from the Korean Society of Neuroradiology (KSNR) to assess current user experiences, perceptions, attitudes, and future expectations regarding AI for neuro-applications. Respondents with experience in AI software were further investigated in terms of the number and type of software used, period of use, clinical usefulness, and future scope. Results were compared between respondents with and without experience with AI software through multivariable logistic regression and mediation analyses. Results: The survey was completed by 73 respondents, accounting for 21.9% (73/334) of the KSNR members; 72.6% (53/73) were familiar with AI and 58.9% (43/73) had used AI software, with approximately 86% (37/43) using 1-3 AI software programs and 51.2% (22/43) having up to one year of experience with AI software. Among AI software types, brain volumetry software was the most common (62.8% [27/43]). Although 52.1% (38/73) assumed that AI is currently useful in practice, 86.3% (63/73) expected it to be useful for clinical practice within 10 years. The main expected benefits were reducing the time spent on repetitive tasks (91.8% [67/73]) and improving reading accuracy and reducing errors (72.6% [53/73]). Those who experienced AI software were more familiar with AI (adjusted odds ratio, 7.1 [95% confidence interval, 1.81-27.81]; P = 0.005). More than half of the respondents with AI software experience (55.8% [24/43]) agreed that AI should be included in training curriculums, while almost all (95.3% [41/43]) believed that radiologists should coordinate to improve its performance. Conclusion: A majority of respondents experienced AI software and showed a proactive attitude toward adopting AI in clinical practice, suggesting that AI should be incorporated into training and active participation in AI development should be encouraged.