Large language models are moving into clinical workflows that involve documentation, decision support, patient communication, education and administrative activity. Their potential value si
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Artificial intelligence clinical decision support is increasingly used to support more consistent care, yet antimicrobial prescribing remains a difficult setting for automation. Switching from i1
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Hospitals increasingly rely on electronic medical records to embed standardised care pathways for acute conditions. An evaluation at a large quaternary-care hospital examined how a clinical deci1
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Healthcare systems operate in environments marked by constant pressure, complexity, and high stakes. Despite best intentions, risks to both patients and staff remain ever-present. The conce
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Clinical decision support systems (CDSSs) have been developed to enhance the appropriateness of imaging referrals and improve the quality of care while containing healthcare costs. The ESR
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Drug interaction databases are widely used to support medication safety in clinical practice. Despite their benefits, they often generate an overwhelming number of flagged interactions, mos
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Ensuring safe prescribing practices is essential to high-quality patient care in hospital settings. Prescribing errors represent a significant proportion of medication errors and may lead t
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Clinical decision support systems (CDSS) are increasingly relied upon in modern outpatient care to assist physicians in avoiding clinical errors and enhancing patient safety. However, the u
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Healthcare leaders today face the dual challenge of enhancing patient outcomes while maintaining operational efficiency. At the intersection of these objectives stands the Clinical Decision
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Adverse drug reactions (ADRs) present a significant challenge to healthcare systems, with major clinical and economic consequences. Clinical pharmacists play a vital role in preventing thes
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