

Healthcare professional burnout has become a burning problem in most countries around the world, and this problem is significantly high in the fast-growing healthcare segment of the United Arab Emirates (UAE). The emotional exhaustion, depersonalization, and diminished personal accomplishment are the elements of burnout that adversely influence staff well-being and patient outcomes. This study examines whether staffing increases and shift optimization are effective strategic measures that can eliminate burnout in the UAE hospitals. Since the study is based on a secondary data analysis, the research emphasizes that work overload, unpredictable shifts, and lack of adequate staffing are the key factors of burnout. It also looks into the stress reduction policies towards the particular staffing, flexible scheduling, and tech-driven solutions, including AI-assisted rota plans. The research relies on JD-R Model and the Burnout Theory by Maslach, which will be used to find the theoretical support of the intended interventions. The results support the concept of a comprehensive, evidence-based reform carrying on human resources and opera-tion planning. Although institutional barriers continue to exist, the study provides advice on how hospital administrators and policy makers can develop a more sustainable and resilient workforce in the healthcare sector and the UAE in particular.
Telemedicine is a new spectacle in the sphere of healthcare provision, particularly in the post-COVID-19 period. This is a critical review of the multifaceted role of telemedicine in healthcare systems between 2020 and 2025, including its impact on patient outcomes, barriers to adoption, and long-term sustainability. Through a systematic review of recent primary data, the paper demonstrates that while telemedicine is essential for reducing wait times and expanding access to underserved areas, there remains much to learn, including reimbursement, digital literacy, and inequities among vulnerable populations. The paper critically evaluates the paradoxical consequences of telemedicine, which improve access but, conversely, can further exacerbate disparities. The most important findings show that system-level interventions (infrastructure, policy frameworks, and stakeholder engagement) are needed to implement changes effectively. By incorporating evidence-based data and providing practice-based recommendations to practitioners and policymakers, the paper contributes to the knowledge base of healthcare management and facilitates the sustainable implementation of telemedicine.
The healthcare sector of the UAE is undergoing digital transformation. The policy support, along with the national vision, is providing dedicated support for accelerating this transformation. However, despite the government-led initiatives, there exist some critical gaps in the sector’s technological investments and actual care outcomes. This research work was conducted to synthesize the existing evidence and explore the current state of digital transformation in the UAE hospitals, evaluating the current trends and challenges. The analysis is anchored at the Technology-Organization-Environment (TOE) and Donabedian (Structure-Process-Outcome) framework, and secondary research findings reveal that although the UAE hospitals are proactively investing in the emerging technological tools, a deeper analysis highlights key gaps at the backend. Some commonly highlighted challenges currently being faced by UAE hospitals include interoperability crises, workforce capability gaps, and weak strategic leadership. Collectively, these challenges hinder the effective integration of digital technologies, reducing their beneficial impact on care outcomes. Based on the analysis, the study concludes that currently, the key challenge being faced by the UAE healthcare sector is not about the technology adoption, but about the managerial and organizational aspects that impact the wider and in-depth integration. The hospital management and policy makers should stretch their focus from the technological to the managerial side to achieve the desired outcomes from their digitalization investment.
Patient satisfaction surveys are a crucial element of hospital strategic management, offering important insights into treatment quality and the entire patient experience. The research underscores the value of patient satisfaction surveys in influencing healthcare policy, enhancing consumer involvement, and strengthening organizational performance. Research indicates that whereas worldwide systems gain advantages from standardized frameworks and policy assistance, local hospitals often encounter resource constraints in executing feedback-oriented tactics. The research finds that implementing best practices from successful foreign models may enhance hospitals' ability to provide superior, patient-centered care via informed strategic planning.
Burnout among healthcare professionals is a critical global challenge that undermines workforce well-being, organizational effectiveness, and patient safety. This working paper presents an integrative review of burnout mitigation strategies, categorizing interventions across individual, organizational, and technological domains. It frames burnout as a multidimensional occupational phenomenon, highlights its causes and consequences, and synthesizes evidence from empirical studies and systematic reviews, with a particular focus on the UAE and comparable healthcare contexts. The findings indicate that individual-level strategies enhance coping capacity and resilience, while organizational-level interventions address systemic and structural drivers. Additionally, technological solutions offer scalable and innovative approaches to support healthcare professionals. However, significant gaps remain in longitudinal evaluations, interventions beyond physicians, and economic assessments of cost-effectiveness. The paper concludes with practical implications for policymakers, managers, practitioners, and researchers in the UAE, emphasizing that burnout mitigation is not only an ethical imperative but also a strategic priority for sustaining workforce resilience and maintaining high-quality healthcare. These findings guide UAE healthcare leaders in prioritizing cost-effective, culturally adaptable burnout mitigation strategies to enhance staff well-being and patient outcomes.
Obesity is an epidemic that affects the whole world and the country of the United Arab Emirates is not an exception as this problem afflicts a large percentage of the population. The point of consumptive trends that are dominated by high-fat fast foods, sedentary living, and compounded by stringent climatic weather conditions, all together damage the health and wellbeing, all pre-determined by the harsh climatic conditions, are the major cause of this phenomenon. There are other contributory factors which enhances further to increase the prevalence of obesity among individual populations. However, the problem can be based on multifaceted interventions. The threat of becoming obese is significantly reduced by avoiding high-fat fast food and soft drinks that are rich in calories. All the governmental bodies, non-governmental organizations, service agencies, and the media and educators play a central role in the propagation of healthy lifestyle practices among the people and herding obesity in various national settings.
Gestational Diabetes Mellitus (GDM) is a notable health concern during pregnancy, affecting a considerable number of births globally, with varying prevalence rates reported in the United Arab Emirates (UAE). This literature review explores the state of knowledge regarding GDM and its risk factors among individuals in the UAE highlighting the importance of health literacy for adherence to management protocols and improved pregnancy outcomes. It also aims to provide an overview of the factors associated with GDM within the UAE. Studies conducted in the UAE indicate a moderate awareness of GDM among women and students, influenced by marital status, education, and prior exposure. UAE University students demonstrated good awareness of GDM risk factors, particularly a personal history of GDM and pre-pregnancy overweight or obesity, but their awareness of multiparity as a risk factor was limited. Information mainly comes from family, media, and schools, with limited input from healthcare providers. High BMI, previous GDM, family history of diabetes, and older age were found to be the key risk factors for developing GDM in the UAE. This highlights the need for focused health education, pre-pregnancy counselling, and early screening to improve GDM awareness, early detection, and reduce complications in the UAE.
Quality Improvement (QI) programs and patient safety are the key elements of contemporary healthcare systems, as they are stipulated in terms of patient outcomes, error prevention, and op-timization of healthcare delivery. The combination of Artificial Intelligence (AI) and machine learning technologies into QI programs has potentially transformative potential, but it also raises serious ethical issues. This paper examines ethical implications associated with QI and patient safety in health care with the four fundamental ethical principles, such as beneficence, nonmalefi-cence, justice and autonomy. The study describes major ethical dilemmas of using digital health technologies and presents them through the review of recent literature, covering studies on AI in healthcare, patient safety protocols, and evidence-based practices. Results have identified issues of patient well-being, privacy of patient data, health care access equity, and informed consent in healthcare systems based on AI. The paper highlights the importance of explicit ethical standards and regulatory policies that would guarantee that QI programs and AI technologies are used in the best interest of patients without infringing on their rights. The review recommends enhancing the frequency of communication, patient engagement, and ethical considerations in AI implemen-tation in the healthcare industry to maintain ethical integrity and advance patient safety. The study will serve as an addition to the current debate on the way to reconcile the technological progress, as well as the ethical healthcare practices, in the search for better patient outcomes.
There was a current research gap on the ethical and cultural issues associated with decision-making of End of Life (EOL) in the Middle Eastern countries, and it was investigated in this working paper. It was important to conduct this research because of the ageing population and the increase in chronic diseases. The findings will be beneficial for the practitioners and decision makers of the Middle Eastern countries to understand the strategies to over-come these barriers. The literature reviewed suggests that the decision-making of the patients is influenced by several factors, such as their cultural background and family. However, the usefulness of a culturally sensitive communication method was missing from the reviewed literature. The study has incorporated a literature review that explores the ethical and cultural factors impacting end-of-life decisions among countries in the Middle East. Secondary data has been selected as the key source due to the sensitivity nature of the research on end-of-life care and the difficulty of direct engagement with families or patients having a terminal illness. In the Middle East, end-of-life care has been shaped by the complex interplay among the paternal-istic practices in medicine, family-based decision-making, and religious beliefs. The cultural dynamics are rooted deeply in the values, but they have a contradiction with the ethical practices in the international market related to informed consent and patient autonomy.
Obesity is prevailing among the UAE population, and it is observed from a recent study in 2023, it was found that 3 out of 10 are obese. This study investigates obesity among the UAE population and highlights the need to implement intervention target mainly the university students. This study adopts quantitative approach collecting secondary data in the form of literature review and from different relevant sources to observe global and local intervention in practice and propose intervention for university students (UNI.FIT HUB). This intervention aims to provide effective monitoring, assessment and evaluation of each student and consequently provide management plans to ensure the obesity is reduced among the students. The findings of this study indicated that in the UAE, there is need for AI-based obesity reduction application among the university students which offers wide range of features for effective obesity reduction and prevention and control measures. Some of the risk factors identified are lack of physical activity, attitude towards healthy diet and lifestyle, fast food, fat rich food, and high calorie soft drinks.