Current Challenges in the Application of Roy's Adaptation Theory for Patients in the Intensive Care Unit: The Impact of Artificial Intelligence and Telemedicine.

Abstract

This paper examines the relevance of Roy's Adaptation Theory within the modern healthcare landscape, particularly in intensive care units (ICUs), where the integration of AI and telemedicine presents both opportunities and challenges. Roy's framework categorizes adaptation into four modes: physiological, self-concept, role function, and interdependence, which remain critical in navigating the complexities of critical care. This study emphasizes that while AI technologies can enhance patient monitoring and proactive interventions, they may also contribute to increased anxiety and a potential loss of personal connections essential for emotional support. To address these challenges, this paper advocates for tailored communication strategies that simplify complex medical information and provide training for patients in technology use. Additionally, fostering interdependent relationships through trust-building measures and family involvement is highlighted as essential for improving patient engagement. By integrating robust measurement systems and evaluating the cost-effectiveness of technological implementations, this exploration seeks to reaffirm the importance of Roy's Adaptation Theory, ultimately paving the way for improved health outcomes in an increasingly digital healthcare environment.