Exploring the Use of Artificial Intelligence in Supporting Clinical Decision-Making in Nursing Practice
Posted: Apr 15, 2024
Abstract
The integration of artificial intelligence into healthcare represents one of the most significant technological transformations in modern medicine. While considerable attention has been devoted to AI applications in medical diagnosis and treatment planning, the specific role of AI in supporting nursing clinical decision-making remains underexplored. Nursing practice encompasses a complex interplay of technical knowledge, clinical experience, intuitive judgment, and interpersonal skills that collectively inform decision-making processes. This research addresses a critical gap in the literature by examining how AI systems can be designed to complement and enhance nursing clinical judgment rather than replace it. Nursing decision-making involves continuous assessment, interpretation of clinical data, and implementation of appropriate interventions across diverse patient populations and clinical contexts. The cognitive load associated with these decisions is substantial, particularly in high-acuity settings where rapid and accurate judgments can significantly impact patient outcomes. Traditional clinical decision support systems have often focused on rule-based approaches that may not adequately capture the nuanced reasoning processes characteristic of expert nursing practice. Our research proposes a novel framework that recognizes the distinctive nature of nursing cognition and the importance of preserving clinical autonomy while leveraging AI capabilities.
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