Widespread availability of Internet connectivity and advances in hardware and software integration have given rise to massive amounts of personal health data originating from consumer health devices. Recently, block-chain technology has emerged as a lucrative option for personal health information management. In the existing systems which use blockchain for the storage of health data, the health record is provided by doctors, while the problem we are addressing is how to leverage blockchain technology to create a Personal Information Management System (PIMS) that will manage individual’s health data obtained from the personal health devices available in the market. In this paper, we propose a layered architecture for a block-chain based PIMS for managing data originating from personal health devices. The proposed architecture has four layers as follows: 1) A block-chain layer that provides functionality to implement and host blockchain database; 2) A device layer that consists of electronic data devices such as health watch, weighing scale and motion sensors; 3) An application layer that collects data from the health devices and display consolidated data view to the user; and 4) An adapter layer that has a responsibility of interfacing an application layer with the blockchain layer. The proposed architecture is extensible to accommodate additional electronic devices and it is also language and platform agnostic. We are currently building a Proof of Concept (PoC) prototype for validating proposed architecture.
 

Bio:
Pravin Pawar is a research associate professor in State University of New York, Korea located in Incheon city, Korea. He has 10+ years of international research and software development experience in the cutting-edge informatics projects and 5+ years of international teaching experience. He received education from premier institutions - M.Tech. from IIT Bombay, India and Ph.D. from University of Twente, The Netherlands. He is credited with six filed patents, more than 50 peer reviewed publications and two books. He is a reviewer for several conferences and prestigious journals such as Journal of Biomedical Informatics. He maintains active collaboration with research and software development industry and academicians worldwide. His research interests are software engineering, health informatics, big data analytics, service oriented computing, sustainable development and Internet of Things. He likes to travel and experience diverse cultures.