Application of Roy Adaptation Model: Using Artificial Intelligence-driven Immersive Virtual Reality As a Novel Technology for Cancer Pain Management among Patients with Advanced Breast Cancer

Background: Patients with advanced breast cancer often experience severe physical and psychological symptoms, including pain. Poor pain management is still prevalent despite the widespread availability of opioids as well as guidelines from the World Health Organization, professional training, and the availability of pain management alternatives. Consequently, researchers and healthcare practitioners have directed their efforts towards non-pharmacological approaches, such as artificial intelligence and virtual reality. Recently, AI technology has been used to develop advanced virtual reality systems that adapt and respond to human behavior in a highly intelligent and interactive manner. Purpose: This study aimed to structure a conceptual framework guided by the Roy Adaptation Model (RAM) for implementing AI-driven immersive VR in managing pain among patients with advanced breast cancer. Methods: A conceptual study framework was structured to use artificial intelligence-driven immersive virtual reality as a novel technology for pain management among patients with advanced breast cancer guided by the (RAM). Results: According to the proposed conceptual framework, it has been determined that healthcare providers can use the structured conceptual framework guided by the Roy Adaptation Model to adapt a nursing-based intervention, such as AI-driven Immersive VR for pain management among patients with advanced breast cancer. Adopting this intervention will help patients achieve a state of adaptation by addressing various modes of adaptation to manage pain, including physiological-physical mode, self-concept mode, role function mode, and independence mode. Conclusion: Roy Adaptation Model (RAM) is a highly valuable conceptual framework that plays a crucial role in guiding the use of artificial intelligence-driven immersive virtual reality as a novel technology for pain management among patients with advanced breast cancer. Implications for Nursing: By utilizing RAM, nurses can enhance their abilities to facilitate effective innovative nursing interventions such as artificial intelligence-driven immersive virtual reality for cancer pain management and to identify all of the related stimuli that directly lead to an increase in the intensity of cancer pain and have a significant influence on the effectiveness of the nursing intervention. Keywords: Breast cancer, Chronic cancer pain, Roy adaptation model, Artificial intelligence-driven immersive virtual reality