Recent years have seen a phenomenal change in healthcare paradigms, and Internet of Things (IoT) clubbed with data analytics has been a key player in this field. IoT provides a common platform for seamless exchange between health devices and all the stakeholders of healthcare followed by advanced analysis of the shared pool of data. Clinical decision support system is an important component of the recent eHealth systems which acts as an assistive tool for the medical personnel in getting a deeper insight to patients’ health data and to design more efficient and personalized treatment strategy. Such a fascinating platform of IoT also finds use with respect to CBRNE; especially after a CBRNE event, such eHealth-based decision support system counts significant to guide the medical personnel in treating people. Moreover, having the comprehensive health profile of the mass enables the stakeholders to analyze and identify the potential risk groups, which would enhance the efficiency of treatment and necessary actions.