Large Language Models in Action: Supporting Clinical Evaluation in an Infectious Disease Unit.

Healthcare-associated infections (HAIs), including sepsis, represent a major challenge in clinical practice owing to their impact on patient outcomes and healthcare systems. Large language models (LLMs) offer a potential solution by analyzing clinical documentation and providing guideline-based recommendations for infection management. This study aimed to evaluate the performance of LLMs in extracting and assessing clinical data for appropriateness in infection prevention and management practices of patients admitted to an infectious disease ward.

Nurses' knowledge and self-assessment of their clinical experiences of intraosseous access: A multicentre cross-sectional study.

Background: Intraosseous access is an effective and safe option when difficult vascular access occurs. The knowledge, competence, and clinical experience of nurses are collectively essential for the successful implementation of this approach in clinical practice. Education and clinical learning are the main pillars supporting this new practice to ensure patient safety.