This paper aims to review the healthcare system in the United Arab Emirates (UAE) and the utilisation of international accreditation to improve the quality of healthcare services and to grow its medical tourism industry. Medical tourism has contributed to the UAE\'s economy. Hence, the country mandated international accreditation in public and private facilities to attract patients and boost medical tourism. Accreditation is recognised worldwide as one of the main drivers for implementing quality and patient safety standards, which has sparked considerable interest in studying the effects and outcomes of such assessments. Therefore, the second aim of this paper is to review the UAE\'s strategic goals to improve the quality of healthcare services using international accreditation. Although striving to achieve global accreditation attracts tourists, it is essential to understand the needs and outcomes of such assessments. This review showed how the UAE healthcare sector has evolved to improve the quality of its healthcare services through accreditation. While enhancing the quality of such services and increasing the medical tourism industry provided many opportunities for expatriates to move to the UAE, the country should aim to strengthen its medical services by expanding to other Middle Eastern countries. This paper could influence policymakers implementing international accreditation in the UAE and the Middle Eastern region.

Servant leadership has received a growing consideration among scholars and practitioners as a viable leadership model capable of bringing positive changes in the increasingly complex healthcare system. The increasing servant leadership literature in healthcare requires an integrated research work that provides a holistic picture of the existing studies. This systematic review aims to synthesize servant leadership conceptualizations, theoretical frameworks, measurement tools, and nomological networks (antecedents, mediators, outcomes, and moderators) associated with prior research in healthcare. A systematic synthesis of 55 pertinent healthcare-specific conceptual and empirical studies demonstrated that servant leadership assumes a crucial role in developing a committed workforce that contributes towards the achievement of performance excellence in healthcare. The review uncovers that the Global Servant Leadership Scale is the most utilized measure of servant leadership in sector-specific studies in healthcare. Moreover, social exchange theory is the dominant underpinning mechanism explaining the influence of servant leadership on specific variables of interest. The findings further revealed that servant leadership has a positive relationship with a range of valued individual and organizational outcomes in healthcare. Our review contributes to the development of servant leadership theory and practice through ascertaining sector-specific studies in the territory of healthcare. We finally conclude by providing a detailed panorama for future healthcare-specific servant leadership research in terms of potential topics, methodological rigor, and less explored variables in prior studies.

OBJECTIVE: Several studies have been carried out on defensive medicine, but research from the managerial viewpoint is still scarce. Therefore, the aim of the present study is to conduct a literature review to better understand defensive medicine from a managerial perspective.
METHODS: A literature review was conducted of studies focusing on the organisational (meso) level of healthcare providers and managerial practices. A final sample of 28 studies was processed.
RESULTS: Defensive medicine has mainly been studied in the USA, and scholars have principally used quantitative surveys. High-risk specialities have been a critical field of investigation, and a large portion of the papers are published in journals that cover medicine, health policy, education and law fields. The analysis showed that operations and the organisation of staffing were the most discussed managerial practices. No study considered planning and budgeting aspects.
CONCLUSIONS: The review confirmed that the managerial aspect of defensive medicine has not been fully addressed. Stimulated by this gap, this study analyses the managerial background of the defensive medicine phenomenon and shows which managerial practices have been most analysed. This paper also contributes to developing the literature on defensive medicine from the managerial side. Areas for future research include qualitative studies to investigate the behaviour of managers of healthcare companies to give a different perspective on defensive medicine and organisations\' decision-making.
CONCLUSIONS: Some important publications might have been missed in this work because of the choice of only two databases. A further limit could be imposed by the use of the English language as an inclusion criterion.

BACKGROUND: The COVID-19 pandemic has had the greatest impact in long-term care facilities (LTCFs) by disproportionately harming older adults and heightening social isolation and loneliness (SIL). Living in close quarters with others and in need of around-the-clock assistance, interactions with older adults, which were previously in person, have been replaced by virtual chatting using information and communication technologies (ICTs). ICT applications such as FaceTime, Zoom, and Microsoft Teams video chatting have been overwhelmingly used by families to maintain residents\' social capital and subsequently reduce their SIL.
OBJECTIVE: Because of the lack of substantive knowledge on this ever-increasing form of social communication, this systematic review intends to synthesize the effects of ICT interventions to address SIL among residents in LTCFs during the COVID-19 period.
METHODS: We will include studies published in Chinese, English, and French from December 2019 onwards. Beyond the traditional search strategy approach, 4 of the 12 electronic databases to be queried will be in Chinese. We will include quantitative and intervention studies as well as qualitative and mixed methods designs. Using a 2-person approach, the principal investigator and one author will blindly screen eligible articles, extract data, and assess risk of bias. In order to improve the first round of screening, a pilot-tested algorithm will be used. Disagreements will be resolved through discussion with a third author. Results will be presented as structured summaries of the included studies. We plan to conduct a meta-analysis if sufficient data are available.
RESULTS: A total of 1803 articles have been retrieved to date. Queries of the Chinese databases are ongoing. The systematic review and subsequent manuscript will be completed by the fall of 2022.
CONCLUSIONS: ICT applications have become a promising avenue to reduce SIL by providing a way to maintain communication between LTCF residents and their families and will certainly remain in the post-COVID-19 period. This review will investigate and describe context-pertinent and high-quality programs and initiatives to inform, at the macro level, policy makers and researchers, frontline managers, and families. These methods will remain relevant in the post-COVID-19 era.
UNASSIGNED: DERR1-10.2196/36269.

Developments of novel drug delivery vehicles are sought-after to augment the therapeutic effectiveness of standard drugs. An urgency to design novel drug delivery vehicles that are sustainable, biocompatible, have minimized cytotoxicity, no immunogenicity, high stability, long circulation time, and are capable of averting recognition by the immune system is perceived. In this pursuit for an ideal candidate for drug delivery vehicles, zwitterionic materials have come up as fulfilling almost all these expectations. This comprehensive review is presenting the progress made by zwitterionic polymeric architectures as prospective sustainable drug delivery vehicles. Zwitterionic polymers with varied architecture such as appending protein conjugates, nanoparticles, surface coatings, liposomes, hydrogels, etc, used to fabricate drug delivery vehicles are reviewed here. A brief introduction of zwitterionic polymers and their application as reliable drug delivery vehicles, such as zwitterionic polymer-protein conjugates, zwitterionic polymer-based drug nanocarriers, and stimulus-responsive zwitterionic polymers are discussed in this discourse. The prospects shown by zwitterionic architecture suggest the tremendous potential for them in this domain. This critical review will encourage the researchers working in this area and boost the development and commercialization of such devices to benefit the healthcare fraternity.

High-quality research is essential in guiding evidence-based care, and should be reported in a way that is reproducible, transparent and where appropriate, provide sufficient detail for inclusion in future meta-analyses. Reporting guidelines for various study designs have been widely used for clinical (and preclinical) studies, consisting of checklists with a minimum set of points for inclusion. With the recent rise in volume of research using artificial intelligence (AI), additional factors need to be evaluated, which do not neatly conform to traditional reporting guidelines (eg, details relating to technical algorithm development). In this review, reporting guidelines are highlighted to promote awareness of essential content required for studies evaluating AI interventions in healthcare. These include published and in progress extensions to well-known reporting guidelines such as Standard Protocol Items: Recommendations for Interventional Trials-AI (study protocols), Consolidated Standards of Reporting Trials-AI (randomised controlled trials), Standards for Reporting of Diagnostic Accuracy Studies-AI (diagnostic accuracy studies) and Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis-AI (prediction model studies). Additionally there are a number of guidelines that consider AI for health interventions more generally (eg, Checklist for Artificial Intelligence in Medical Imaging (CLAIM), minimum information (MI)-CLAIM, MI for Medical AI Reporting) or address a specific element such as the \'learning curve\' (Developmental and Exploratory Clinical Investigation of Decision-AI) . Economic evaluation of AI health interventions is not currently addressed, and may benefit from extension to an existing guideline. In the face of a rapid influx of studies of AI health interventions, reporting guidelines help ensure that investigators and those appraising studies consider both the well-recognised elements of good study design and reporting, while also adequately addressing new challenges posed by AI-specific elements.