Big data techniques for analyzing patient data collected from medical devices

Big Data refers to the large amount of complex data that emerges in real time and needs a huge amount of storage, computing infrastructure, software as well as expertise to analyze and infer insight. The advent of the intelligent processing devices embedded in the medical devices and sensors has led to a paradigm shift in the healthcare industry. Nowadays, clinical dataset for a patient is available in various forms such as Electronic Health Record, imaging data, external sensor dataset collected from various devices, motel medical devices and genomics. The integration of the patient data collected from different sources is essential for holistic patient management through early and accurate diagnosis, preventive care as well as personalized treatment.