Personalized Clinical Pathway for Heart Failure Management

Abstract

Heart failure clinical pathway, an evidence-based, multidisciplinary managing tool is introduced to ease the diagnosis and treatment of a patient with heart failure. Unfortunately, the clinical pathway systems used are still static, which do not have adaptability in any dynamic changes of patients' condition, lacks of real-time data and no connection with hospital information system. This paper aims to propose a dynamic, personalized clinical pathway system by introducing a data-driven, machine learning clinical pathway model. The methods discuss about the steps in developing the algorithm of the heart failure clinical pathway model by data mining and machine learning techniques using relevant data accessed from hospital information system.