Exploring the Impact of Emotional Resilience on Patient Safety Outcomes in Intensive Care Units
Posted: Jul 09, 2024
Abstract
This research investigates the critical relationship between healthcare professionals' emotional resilience and patient safety outcomes in intensive care units (ICUs), an area that remains underexplored despite its profound implications for healthcare quality. We developed and validated a novel computational framework called the Resilience-Safety Integration Model (RSIM) that combines natural language processing of clinical documentation, physiological signal analysis, and behavioral observation to quantify emotional resilience patterns and their correlation with safety incidents. Our longitudinal study across three academic medical centers tracked 142 ICU professionals over six months, collecting multimodal data including electronic health record interactions, voice stress analysis during critical events, and systematic safety outcome monitoring. The results demonstrate a statistically significant inverse relationship between emotional resilience metrics and preventable adverse events, with high-resilience clinicians showing 42
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