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Much of the knowledge and information needed for enabling high-quality clinical research is stored in free-text format. Natural language processing (NLP) has been used to extract information from these sources at scale for several decades. This paper aims to present a comprehensive review of clinical NLP for the past 15 years in the UK to identify the community, depict its evolution, analyse methodologies and applications, and identify the main barriers. We collect a dataset of clinical NLP projects (n = 94; £ = 41.97 m) funded by UK funders or the European Union's funding programmes. Additionally, we extract details on 9 funders, 137 organisations, 139 persons and 431 research papers. Networks are created from timestamped data interlinking all entities, and network analysis is subsequently applied to generate insights. 431 publications are identified as part of a literature review, of which 107 are eligible for final analysis. Results show, not surprisingly, clinical NLP in the UK has increased substantially in the last 15 years: the total budget in the period of 2019–2022 was 80 times that of 2007–2010. However, the effort is required to deepen areas such as disease (sub-)phenotyping and broaden application domains. There is also a need to improve links between academia and industry and enable deployments in real-world settings for the realisation of clinical NLP's great potential in care delivery. The major barriers include research and development access to hospital data, lack of capable computational resources in the right places, the scarcity of labelled data and barriers to sharing of pretrained models. [ABSTRACT FROM AUTHOR]

Millions of people cross political borders yearly without having the proper documents. This has led to increased detention and deportation practices in destination countries for reasons related to security and sovereignty. The objective of the current study was to analyze and visualize research publications on the detention and deportation of migrants to identify current research hotspots, research gaps, and potential future research in the field. Relevant research articles were obtained from the Scopus database for the study period from 1900 to December 31, 2022. The analysis included presentations of key contributors to the field and visualization of topics, themes, and international collaboration. In total, 906 articles were found. The earliest was in 1982. The majority of articles were published in journals within the subject areas of social sciences and humanities. The number of publications showed a steep rise from 2011 to 2022. The Journal of Ethnic and Migration Studies was the most prolific, but publications in the Citizenship Studies journal received the highest number of citations per article. Researchers from the United States contributed the most. Mexico ranked fifth in the number of publications. Oxford University was the most prolific institution, followed by three universities in Australia. The majority of articles were single-authored, indicative of limited author-author collaboration. Research hotspots in the field were "human rights" and "mental health". The detention and deportation of Mexican and other Latino migrants in the United States constituted a distinct research theme in the field. International research collaboration was limited by geographical proximity (e.g., the United States and Mexico) or common language (e.g., the United Kingdom and Australia). Future research topics should focus on alternatives to detention, family separation, and healthcare services for detained migrants. Research activity on detention and deportation is required from all world regions, including the source countries of migrants. Future research should promote alternatives to traditional detentions. The contribution of countries in Africa, the Middle East, and South-Eastern Asian regions needs to be encouraged. Future research on the detention and deportation of non-Latino migrants is highly required. [ABSTRACT FROM AUTHOR]

The adoption of digital technologies in healthcare, accelerated by the COVID-19 pandemic, requires a well-prepared workforce capable of implementing those technologies. Here, we examine the role and impact of digital fellowships in facilitating digital transformation in healthcare systems. Digital fellowships are structured educational programmes designed to equip healthcare professionals with advanced digital skills. Focusing on UK-based initiatives like the Topol Digital Fellowship and the Fellowship in Clinical AI, we explore their efforts to prepare healthcare leaders for digital and AI adoption. Each fellowship programme provides participants with hands-on experience in digital healthcare projects and fosters interdisciplinary collaboration and post-fellowship support. We discuss how these fellowships contribute to staff retention by diversifying professional experiences and opportunities. We call for increased collaborations between universities, industry, and professional bodies to integrate lessons from digital fellowships into relevant curricula, acknowledging that digital fellowships are just one piece of the puzzle in bridging the digital skills gap in the healthcare workforce. [ABSTRACT FROM AUTHOR]