the role of machine learning in the improvement of physician-nurse relationships when the management of burn patients: a narrative review

In recent years, machine learning (ml) has emerged as a transformative technology in healthcare, providing significant advancements in patient care and management. burn care, which necessitates comprehensive and coordinated efforts due to the severe and multifaceted nature of burn injuries, particularly benefits from ml’s capabilities. this literature review investigates how ml enhances the collaboration between physicians and nurses in managing burn patients. in the present study, significant findings show that ml’s predictive analytics can predict patient outcomes and complications, helping with proactive care strategies. ml-driven decision support systems offer real-time, evidence-based recommendations, ensuring consistent care approaches. in addition, ml-powered virtual simulations improve training and comprehension of roles, while advanced electronic health records (ehr) systems streamline documentation and information sharing. continuous quality improvement is supported by ml’s data-driven insights, leading to improved patient monitoring and management. ultimately, integrating ml in burn care significantly improves physician-nurse collaboration, resulting in better patient outcomes. this includes reduced infection rates and shorter hospital stays. this highlights the vital role of ml in transforming healthcare delivery and professional collaboration in managing complex conditions like burn injuries.