Paper Title
Process Analytics Model Approach in Health Care: The Big Data and IoT in Technological Perspective

Abstract
Increased old age population and the occurrence of acute and chronic illness to the early age population in the world lead to an increase in health care assistance. The health care industry is relying on technological support for advance treatment and to avoid complications. The chronic diseases need periodical treatment during the lifetime of a patient which indulges to store patient records electronically. The digitization of patient data enables to reduce of the steps in the overall health care system. The process analytics involves relationship between the doctor, diagnostic centers and patient. The primary advantages of using process analytics in health care are expert guidance, global medical assistance, and possible alternate treatment mechanisms. The secondary advantages are the analysis of the same type of disease complications and creation of disease-based health care data repository. This paper focuses to process model-based approach for health care analytics. The two emerging techniques Big data and IoT are needed to be incorporated with the process model for souring, storing and analyzing the health care data. Keywords - Process Analytics, Health Care, Big Data, IoT.