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Scoping Review Protocol: Artificial Intelligence in Critical Care Education v1
0
Zitationen
1
Autoren
2025
Jahr
Abstract
Introduction: Critical care settings produce complex data that necessitates quick, accurate decisions in high-stress situations. In critical care education, artificial intelligence (AI) helps train healthcare providers to analyze detailed monitoring data, forecast patient decline, and improve workflow. AI-based teaching tools include decision support systems, predictive analytics training, and simulation environments that mimic ICU scenarios. Purpose: This scoping review systematically investigates AI applications in critical care education, assesses their educational effectiveness, and explores implementation strategies and challenges unique to intensive care training settings. Method: A scoping review will be conducted following the Arksey and O'Malley framework and JBI methodology. It will include studies published in English from 2020 to 2025 that focus on AI applications in critical care education. The literature search will encompass medical, educational, and technological databases, with stakeholder consultation integratedthroughout the process.
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