Emergency medicine journal : EMJ
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Artificial intelligence (AI)-assisted image interpretation is a fast-developing area of clinical innovation. Most research to date has focused on the performance of AI-assisted algorithms in comparison with that of radiologists rather than evaluating the algorithms' impact on the clinicians who often undertake initial image interpretation in routine clinical practice. This study assessed the impact of AI-assisted image interpretation on the diagnostic performance of frontline acute care clinicians for the detection of pneumothoraces (PTX). ⋯ The study indicates that AI-assisted image interpretation significantly enhances the diagnostic accuracy of clinicians in detecting PTX, particularly benefiting less experienced practitioners. While overall interpretation time remained unchanged, the use of AI improved diagnostic confidence and sensitivity, especially among junior clinicians. These findings underscore the potential of AI to support less skilled clinicians in acute care settings.
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People experiencing the highest levels of social deprivation are more likely to present to emergency care across the spectrum of disease severity, and to have worse outcomes following acute illness. Emergency medicine in the UK and Europe has lagged behind other regions in incorporating social emergency medicine into practice. There is evidence that emergency clinicians have the potential to mitigate health inequalities, through advocacy and intervention supported by high-quality research, while also acknowledging the limitations intrinsic to the environment in which they work.
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The number of asylum seekers awaiting decisions on their claims in the UK has more than tripled since 2014. How we meet international obligations to provide appropriate healthcare to asylum seekers and refugees (ASRs) is therefore an increasingly important issue. The views of frontline healthcare workers are vital to ensure the development of sustainable and effective health policy when it comes to caring for this group. ⋯ This study provides an insight into the views of EDCPs in providing care to ASRs in the ED. Study findings can potentially contribute to the development of ED-specific guidelines as well as inform wider health policy and provide a focus and direction for further research.
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There is compelling evidence that AXRs have limited clinical value in the acute setting. Despite this, they are frequently used in many EDs. This quality improvement project (QIP) aimed to reduce unnecessary AXR use in a single-centre ED. ⋯ In this single-centre QIP, coordinated multidisciplinary interventions were effective in reducing unnecessary AXR usage without resulting in excess CTs. The methods and interventions described are easily reproducible at minimal expense and may be of interest to other departments undertaking quality improvement work in this area.