Posted: Dec 05, 2023
The integration of nursing informatics into clinical practice represents a transformative frontier in healthcare delivery, yet current implementations often fail to capture the nuanced decision-making processes that characterize expert nursing practice. Traditional nursing informatics systems have primarily focused on documentation efficiency and data management, overlooking the complex cognitive processes that experienced nurses employ in clinical assessment and intervention. This research addresses this gap by introducing a novel bio-inspired framework that models nursing intuition and clinical reasoning within informatics systems. The fundamental premise of our work is that nursing informatics should not merely record clinical data but should actively participate in the clinical reasoning process, enhancing rather than replacing the nurse's professional judgment. Our approach diverges significantly from conventional nursing informatics research by drawing inspiration from computational neuroscience and cognitive psychology to create systems that mirror human pattern recognition capabilities. We posit that the most valuable aspect of nursing expertise lies in the ability to recognize subtle patterns across multiple data streams—physiological, behavioral, contextual, and temporal—that indicate patient status changes. This research establishes a new paradigm where nursing informatics systems become collaborative partners in clinical decision-making rather than passive repositories of information.
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