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Browse normalized, publication-ready research with direct links to its evidence and source.
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Readable research linked to original sources
Browse normalized, publication-ready research with direct links to its evidence and source.
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Readable research linked to original sources
Browse normalized, publication-ready research with direct links to its evidence and source.
43 articles
Newest firstBackgroundMedical cannabis has gained increasing attention globally for its potential in treating various conditions. As the use of medical cannabis expands, it is crucial for future healthcare professionals, particularly physicians, to have a comprehensive understanding of its clinical applications, side effects, and legal status. Therefore, this study aimed to assess the knowledge and attitudes of healthcare stu…
Open article record in new tab ↗Migraine detection and sentiment analysis in healthcare have become increasingly important, particularly with the rise of social media platforms like Twitter, where users often share their personal health experiences. This study presents MASHA (Multi-Agent System for Healthcare Sentiment Analysis), an artificial intelligence (AI)-driven framework that integrates multiple machine learning (ML) models for sentiment…
Open article record in new tab ↗IntroductionLarge Language Models (LLMs) in healthcare practice and education have been evaluated using medical question-answering (QA) datasets, with excellent performance. However, multiple-choice questions fall short when assessing more complex language interactions. ObjectiveTo evaluate the time invested and validity of medical students responses to clinical questions using ArkangelAI, compared to traditional…
Open article record in new tab ↗There is consistent evidence that brief interventions can be effective in preventing and reducing alcohol use, but support for their effects on illicit drug use is more limited. This meta-analysis expands prior research by testing whether brief drug interventions (BDIs) delivered in general medical settings reduce cannabis consumption and severity across post-intervention follow-up periods and explores potential h…
Open article record in new tab ↗BackgroundEnvironmental health services in healthcare facilities --including water, sanitation, hygiene, waste management, cleaning, and infection control--prevent disease and strengthen healthcare delivery. Yet environmental health service provision is inadequate in many low- and middle-income countries (LMICs). Despite the importance of monitoring and improving services, no comprehensive evidence map exists to d…
Open article record in new tab ↗Healthcare work is emotionally intensive, yet emotional labour is overlooked in workforce modelling, with significant impact in terms of burnout and staff retention. The aim of this study was to examine emotional labour expenditure in a multi-professional group working in a large medical specialism across the UK to establish how this type of labour should be considered in workforce/labour modelling. The Discrete E…
Open article record in new tab ↗BackgroundBiases held by healthcare practitioners can shape clinical interactions, leading to discrimination and poor patient outcomes. Traditional methods, such as vignettes or self-report measures, often lack ecological validity. ObjectiveWe evaluated a novel VR simulation designed to explore bias and discrimination in clinical decision-making. MethodsThirty-five healthcare practitioners across 14 NHS trusts com…
Countries with emerging and developing economies, particularly during crises like the ongoing full-scale war in Ukraine, face significant challenges in achieving universal health coverage. This secondary data analysis focused on informal payments (IPs) in Ukraines public primary healthcare (PHC) system, using a dataset from a study that examined IPs across four priority healthcare services: childbirth, neonatal ca…
Open article record in new tab ↗AbstractWastewater surveillance (WWS) at healthcare facilities paired with CDC- recommended patient screening methods may enable earlier detection of targeted antimicrobial resistant (AR) pathogens. However, this is a nascent field with knowledge gaps for how to best evaluate, implement, and interpret healthcare facility WWS. AR pathogens, such as carbapenemase-producing organisms and C. auris, are important non-v…
Open article record in new tab ↗Data-driven approaches are transforming healthcare, yet acquisition of comprehensive datasets is hindered by high costs, privacy regulations, and ethical concerns. To address these challenges, synthetic data, artificially generated datasets that mimic the statistical properties of real-world data, provides a promising solution. Despite its growing adoption, the thematic landscape of synthetic data research in heal…
Open article record in new tab ↗DeepSeek, a Chinese artificial intelligence company, released its first free chatbot app based on its DeepSeek-R1 model. DeepSeek provides its models, algorithms, and training details to ensure transparency and reproducibility. Their new model is trained with reinforcement learning, allowing it to learn through interactions and feedback rather than relying solely on supervised learning. Reports showcase that DeepS…
Open article record in new tab ↗ObjectiveThrough this scoping review, we aim to explore and synthesize existing knowledge and evidence on the learning approaches for incorporating LLMs into healthcare education and public health learning spaces. Specifically, we will attempt to investigate methods for auditing prompts for accuracy; tailoring prompts to improve task-specific accuracy and utility; and exploring how end-user feedback is used to ref…
Open article record in new tab ↗Quality checklists have demonstrated benefits in healthcare and other high-reliability organizations, but there remains a gap in the understanding of design approaches and levels of stakeholder engagement in the development of these quality checklists. This scoping review aims to synthesize the current knowledge base regarding the use of various design approaches for developing quality checklists in healthcare. Se…
Open article record in new tab ↗This study explores the use of Artificial Intelligence (AI), specifically Large Language Models (LLMs) in the Thai healthcare sector, focusing on applications such as diagnosis, patient monitoring, and automated question-and-answer systems. While AI has the potential to improve diagnosis accuracy, reduce the time required for appointment, and enhance patient care, several challenges prevent widespread adoption of…
Open article record in new tab ↗The development of Artificial Intelligence (AI) in the healthcare sector is generating a great impact. However, one of the primary challenges for the implementation of this technology is the access to high-quality data due to issues in data collection and regulatory constraints, for which synthetic data is an emerging alternative. This Scoping review analyses reviews from the past 10 years from three different dat…
Open article record in new tab ↗BackgroundLong Covid has emerged as a complex health condition for millions of people worldwide following the COVID-19 pandemic. Previously, we have categorised healthcare pathways for patients after discharge from hospital with COVID-19 across 45 UK sites. The aim of this work was to estimate the clinical and cost-effectiveness of these pathways. MethodsWe examined prospectively collected data from 1,013 patients…
Open article record in new tab ↗The high rates of sexually transmitted infections (STIs) in young women in South Africa warrant the use of innovative interventions like self-sampling to diagnose both symptomatic and asymptomatic infections. Although proven as an effective measure in the fight against STIs, there is limited evidence on the preferred attributes of this intervention. We conducted a discrete choice experiment (DCE) to understand you…
Open article record in new tab ↗BackgroundThe launch of the Chat Generative Pre-trained Transformer (ChatGPT) in November 2022 has attracted public attention and academic interest to large language models (LLMs), facilitating the emergence of many other innovative LLMs. These LLMs have been applied in various fields, including healthcare. Numerous studies have since been conducted regarding how to employ state-of-the-art LLMs in health-related s…
BackgroundReducing low-value care (LVC) and improving healthcares climate readiness are critical factors to improve the sustainability of health systems across the globe. Care practices that have been deemed low or no value, in effect, generate carbon emissions, waste and pollution without improving patient or population health. There is nascent, but growing, research and evaluation to inform practice change focus…
Open article record in new tab ↗Since its release at the end of 2022, ChatGPT has seen a tremendous rise in attention, not only from the general public, but also from medical researchers and healthcare professionals. ChatGPT definitely changed the way we can communicate now with computers. We still remember the limitations of (voice) assistants, like Alexa or Siri, that were "overwhelmed" by a follow-up question after asking about the weather, n…
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