Patient Pathway

Patient pathway analysis focuses on understanding and optimizing the sequence of healthcare events experienced by patients, aiming to improve treatment efficiency and outcomes. Current research employs various methods, including machine learning models like recurrent neural networks and graph-based approaches, to analyze these pathways, often clustering similar patient journeys and identifying key steps or risk factors. This work is significant because it facilitates the development of more effective treatment plans, resource allocation strategies, and ultimately, better patient care by revealing patterns and insights hidden within complex healthcare data.