1086 Copyright © 2018, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. Chapter 54 DOI: 10.4018/978-1-5225-3926-1.ch054 ABSTRACT Rapid increase of service demands in healthcare contexts today requires a robust framework enabled by IT (information technology) solutions as well as real-time service handling in order to ensure superior decision making and successful healthcare outcomes. Contemporaneous with the challenges facing healthcare, we are witnessing the development of very sophisticated intelligent tools and technologies such as Business Analytics techniques. Therefore, it would appear to be prudent to investigate the pos- sibility of applying such tools and technologies into various healthcare contexts to facilitate better risk detection and support superior decision making. The following serves to do this in the context of Total Hip and Knee Arthroplasty and Congenital Heart Disease. INTRODUCTION For some diseases, surgery is not always a final cure and it result in a considerably high rate of disabilities, as well as the possibility of co-morbidities (Goossens, Apers, Gewillig, Budts, & Moons, 2013; Tabbutt et al., 2012); for example, types of cancer and even the development of bowel diseases. Naturally, this also has a direct adverse impact on patients and their families (Landolt, Buechel, & Latal, 2011). Hence, Intelligent Risk Detection in Healthcare Contexts of Hip and Knee Athroplasty and Paediatric Congenital Heart Disease Hoda Moghimi RMIT University, Australia Nilmini Wickramasinghe Deakin University, Australia & Epworth HealthCare, Australia Jonathan L. Schaffer Cleveland Clinic, USA