Framework for Smart Health: Toward Connected Data from Big Data

Health informatics has been witnessing a tremendous modernization by leveraging the information technology and networking. Big Data tools offer a platform for organizing huge volume of data generated out of the medical informatics systems. They offer mechanism to store data in a distributed manner and offer parallel processing environment to process the large amount of data. Even though such platforms offer scalable way of managing large volume of data, those tools do not provide mechanism to get value from the large volume of data. Healthcare data is peculiar in nature because it contains many links to within themselves, such as symptoms, practitioners, and medication. Processing such data using traditional RDBMS, Big Data tools to get the hidden value from it, is cumbersome. In this paper, we propose a framework based on graph database to connect various elements of healthcare data to get more value/insight from the healthcare data.