This systematic review explored how artificial intelligence (AI) based on machine learning algorithms and natural language processing is used to address and report patient safety outcomes. The review suggests that AI-enabled decision support systems can improve error detection, patient stratification, and drug management, but that additional evidence is needed to understand how well AI can predict safety outcomes.  

The authors surveyed over 4,000 care aids from 93 urban nursing homes in Western Canada to assess the association of work environment with missed and rushed essential care tasks. During their most recent shift, over half of care aids (57.4%) reported missing at least one essential care task and two-thirds (65.4%) reported rushing at least one essential care task. Work environments with better work culture and more effective leadership were associated with fewer missed or rushed care tasks.