Intensive care medicine
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Intensive care medicine · Sep 2024
Implementing palliative care in the intensive care unit: a systematic review and mapping of knowledge to the implementation research logic model.
The importance and effectiveness of palliative care (PC) in intensive care units (ICU) are known. Less is known about the implementation and integration of ICU-based PC interventions. This systematic review aims to use a modified implementation research logic model (IRLM) to identify, map, and synthesise evidence on implementation of ICU-PC (primary and/or specialist) interventions. ⋯ This review provides recommendations for ICUs when designing (stakeholder involvement, ICU-PC collaboration, assessment of culture and resources); implementing (targeted and adapted strategies, champions, and education); and evaluating/reporting (collect effectiveness and implementation data, including mechanisms) ICU-PC interventions. Use of implementation structures and patient/family involvement are both needed and important to be included.
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Intensive care medicine · Sep 2024
From bytes to bedside: a systematic review on the use and readiness of artificial intelligence in the neonatal and pediatric intensive care unit.
Despite its promise to enhance patient outcomes and support clinical decision making, clinical use of artificial intelligence (AI) models at the bedside remains limited. Translation of advancements in AI research into tangible clinical benefits is necessary to improve neonatal and pediatric care for critically ill patients. This systematic review seeks to assess the maturity of AI models in neonatal and pediatric intensive care unit (NICU and PICU) treatment, and their risk of bias and objectives. ⋯ The majority of AI models remain within the testing and prototyping phase and have a high risk of bias. Bridging the gap between designing and clinical implementation of AI models is needed to warrant safe and trustworthy AI models. Specific guidelines and approaches can help improve clinical outcome with usage of AI.