Background In situ simulation (ISS) has seen broad use in academic emergency medicine (EM). Studies with limited clinical ...
Background Clinical encounters with patients who display challenging behaviours (eg, rude, demanding) are increasingly common ...
In 1995, Star Trek Voyager debuted with its vision of a fully autonomous, artificial intelligence (AI)-powered physician (The EMH—Emergency Medical Hologram), which was thrust into the role due to ...
Building capacity for change: developing an evidence-based competencies framework to power champions
Background Champions play a critical role in driving innovation, advancing evidence-based practice (EBP) and supporting its implementation across diverse healthcare settings. This paper describes the ...
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Background Virtual wards (VWs) (also referred to as hospital at home (HaH)) are a key component of National Health Service (NHS) policy in England to shift acute care from hospital to community ...
It has been roughly 50 years since Jay Katz advocated for the involvement of patients in decision-making,1 yet making treatment decisions based on what matters to patients remains aspirational.
The WHO Surgical Safety Checklist (SSC) has been a cornerstone of surgical safety for nearly 20 years—endorsed as a required or recommended standard and adopted by hospitals worldwide.1 However, ...
Background Dementia increases the risk of adverse outcomes during hospitalisation, underscoring the need for system-level strategies. In 2016, Japan introduced Dementia Care Add-on 1 (DCA1), a ...
Background The optimal performance of doctors is critical to delivering high-quality, safe healthcare. However, 6–12% of doctors may experience challenges that impact their work performance. In many ...
Background Double-checking of medication administration is a safety practice used in hospitals around the world. Independence is recommended as the key to effectiveness. Independent double-checking ...
In 2026, artificial intelligence (AI) systems are deployed at scale to support clinical decision-making. Algorithms detect cardiac arrhythmias from ECGs, classify skin lesions from photographs and ...
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