Readable research linked to original sources
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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.
Loading articles data…
Readable research linked to original sources
Browse normalized, publication-ready research with direct links to its evidence and source.
13 articles
Newest firstBackgroundThe administrative burden of clinical documentation is a recognised contributor to clinician burnout and diminished care quality. Ambient artificial intelligence (AI) scribe technology, which uses large language models to passively record and summarise clinical encounters, has rapidly gained traction internationally. However, no published studies have examined clinician experiences with this technology i…
Open article record in new tab ↗BackgroundYouth mental health represents a critical public health priority, with built environment interventions increasingly recognized as potential facilitators of engagement in mental health and wellness activities. The physical spaces where young people live, learn, and socialize significantly influence their psychological wellbeing and help-seeking behaviors, yet systematic evidence synthesis on effective bui…
Open article record in new tab ↗BackgroundThe integration of Traditional Chinese Medicine (TCM) into primary healthcare systems represents a significant opportunity to enhance healthcare delivery in multicultural societies. Singapores unique position as a modern healthcare hub with deep cultural roots in traditional medicine provides an important context for examining this integration process. ObjectiveTo systematically identify, evaluate, and s…
Open article record in new tab ↗BackgroundHealthcare workplaces experience significant interpersonal conflicts affecting staff wellbeing, patient safety, and organizational performance. Traditional punitive approaches to conflict management often fail to address underlying issues, potentially perpetuating cycles of dysfunction. Restorative justice, emphasizing healing, accountability, and relationship repair over punishment, offers promising alt…
Open article record in new tab ↗BackgroundDespite compelling evidence supporting advance care planning (ACP) benefits in improving end-of-life care quality and patient autonomy, ACP completion rates remain suboptimal globally, with only 20-40% of adults in developed countries having completed any form of advance directive. Digital health technologies offer promising solutions to overcome traditional barriers to ACP engagement, including accessib…
Open article record in new tab ↗BackgroundSocial isolation and loneliness are significant public health concerns, particularly among older adults. Social prescribing, a non-medical intervention that links individuals to community-based support and activities, has gained attention as a potential solution. However, the effectiveness of social prescribing in addressing social isolation and loneliness in older adults remains unclear. ObjectiveThis s…
Open article record in new tab ↗BackgroundThe healthcare sector significantly contributes to environmental degradation and climate change. Implementing sustainable practices, known as "green practices," can mitigate these negative impacts. Healthcare professionals play a crucial role in adopting and promoting green practices, but their perceptions and experiences are not well understood. ObjectiveThis systematic review protocol outlines methods…
Open article record in new tab ↗The integration of computational methods with traditional qualitative research approaches has emerged as a transformative paradigm in healthcare research. Computational Grounded Theory (CGT) represents a novel methodological framework that combines the interpretive depth of grounded theory with the analytical power of computational techniques, particularly machine learning and natural language processing. This sys…
Open article record in new tab ↗BackgroundMultimorbidity poses significant healthcare challenges globally. Current assessment methods rely primarily on structured electronic health record (EHR) data, potentially missing valuable information contained in unstructured clinical notes. Natural language processing (NLP) techniques offer promising solutions for extracting comprehensive multimorbidity data from these unstructured sources. ObjectivesTo…
Open article record in new tab ↗BackgroundFertility tracking apps have gained widespread popularity as a convenient method for women to monitor their menstrual cycles and improve chances of conception. Despite their prevalence, there is limited research synthesizing womens lived experiences and perceptions regarding the use of these apps. Understanding womens perspectives is crucial to address concerns about accuracy, privacy, and emotional well…
Open article record in new tab ↗BackgroundVirtual reality (VR) technology has emerged as a promising tool for experiential learning in healthcare education, with particular interest in its potential to foster empathy by allowing learners to embody the patient perspective. Empathy is crucial for therapeutic alliance, patient satisfaction, and health outcomes, yet research consistently documents its decline as students progress through medical tra…
Open article record in new tab ↗Large language models (LLMs) have emerged as powerful tools for sentiment analysis in healthcare, offering potential advantages in capturing contextual information and semantic relationships in complex medical text. Healthcare sentiment analysis presents unique challenges due to domain-specific terminology, privacy regulations, and the nuanced nature of patient experiences. This systematic review protocol outlines…
Open article record in new tab ↗BackgroundDelirium is a serious and common condition in hospitalized patients, associated with increased morbidity, mortality, and healthcare costs. Early detection and management of delirium is crucial for improving patient outcomes. Clinical notes contain valuable information about a patients mental status that may not be captured by structured data alone. Natural language processing (NLP) techniques have the po…
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