Obesity is a burden being a public health challenge, especially in the Middle East, among working adults due to sedentary lifestyles as well as workplace stress linking it to the increasing rates of obesity. Obesity prevalence in the Middle East increased to 23% between 2014 and 2020. This paper shows the influence of obesity in the region in relation to the role of the environment of the workplace and the needed interventions for the employers. The findings highlight the need for workplace wellness programs as well as a strategic intervention to decrease obesity and enhance productivity.

Hospitals worldwide face increasing pressure to deliver more procedures while managing limited resources, creating a need for innovative administrative solutions. This paper aims to explore the role of artificial intelligence (AI) in improving hospital administrative efficiency in the United Arab Emirates (UAE). AI-powered tools, such as robotic process automation (RPA), chatbots, predictive analytics, and data management systems are being applied to routine tasks including patient interfacing, billing, and intra-team coordination. Using a qualitative design, this study draws on interviews with hospital administrators and detailed institutional reports from both public and private hospitals to assess current practices and outcomes. The findings demonstrate that AI adoption leads to measurable improvements, including up to 25% cost reduction, a 30–35% decrease in administrative errors, and significant time savings in routine processes. These benefits are illustrated through performance analyses, supported by data visualization. At the same time, the paper highlights key challenges to implementation, including system integration difficulties, limited AI literacy among staff, and insufficient regulatory frameworks. The study concludes with practical recommendations for healthcare leaders on infrastructure investment, workforce training, and alignment with national digital health strategies, positioning AI as an essential component of modern hospital administration in the UAE.

This study examined the implications of unnecessary radiological exposure from rejected X-ray images at Healthpoint Hospital, UAE, and assessed radiographers’ awareness and application of radiation protection practices. Managerial aspects of image rejection—including patient or equipment mispositioning, factors leading to repeated exposures, and resource wastage—were also evaluated. A qualitative approach using in-depth interviews with ten radiographers explored their workplace practices and challenges. Findings revealed that radiographers adhered to principles of radiation safety, including ALARA, use of protective equipment, and patient education. However, systemic issues contributed to image rejection, such as high workload, lack of structured communication across departments, and insufficient advanced training in complex patient positioning. The study highlighted the need for institutional improvements, including structured reject analysis systems, regular equipment maintenance, and enhanced interdepartmental collaboration. Additionally, the role of departmental leadership was identified as critical in fostering continuous professional development, implementing quality assurance practices, and investing in advanced imaging technologies. Such initiatives are essential to reducing radiation risk, ensuring patient safety, and promoting professionalism within radiology. Addressing these factors would support more effective radiographic practice and strengthen the hospital’s overall performance in imaging services.