Posted: Feb 05, 2020
Postoperative pain management represents a critical component of surgical recovery, with profound implications for patient outcomes, satisfaction, and healthcare resource utilization. Traditional approaches to pain control have predominantly relied on standardized protocols and pharmacological interventions, often overlooking the complex interplay of physiological, psychological, and contextual factors that influence individual pain experiences. The limitations of conventional methods are increasingly apparent in their inability to accommodate patient-specific characteristics, dynamic recovery trajectories, and the multifactorial nature of pain perception. This research addresses these challenges through the development and validation of an innovative computational framework that integrates evidence-based nursing interventions with advanced predictive analytics. The significance of effective postoperative pain management extends beyond immediate comfort, influencing surgical recovery metrics including mobility restoration, complication prevention, and hospital length of stay. Despite substantial advances in analgesic pharmacology and delivery systems, suboptimal pain control remains prevalent, contributing to delayed recovery, increased healthcare costs, and diminished patient experiences.
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Rank: 194076