Innovative Strategies for Remote Patient Management in Peritoneal Dialysis: The Role of Artificial Intelligence

Abstract

The integration of artificial intelligence (AI) and telehealth in peritoneal dialysis (PD) marks a paradigm shift in chronic kidney disease care. In conventional PD practice, poor adherence to prescriptions leads to increased complications, hospitalizations, and mortality, while delays in care and inefficient oversight contribute to higher healthcare costs and workload burdens. Addressing these unmet needs is critical for improving patient outcomes. This chapter explores the evolution of remote patient management (RPM) in PD, emphasizing AI’s transformative role in enhancing patient outcomes through real-time monitoring, predictive analytics, and personalized care plans. The historical progression from basic telemedicine to sophisticated AI-driven systems highlights the potential for reduced hospitalizations and improved treatment adherence. Despite the benefits, obstacles such as digital access, data security, disparities, and the need for specialized training persist. Ethical considerations, including patient autonomy and algorithmic bias, are also crucial in the responsible deployment of these technologies. As advancements in AI and telehealth continue, their role in managing PD is poised to expand, resulting in enhanced health outcomes and a better quality of life for patients.