Chapter 3: Blockchain for Pre-clinical and Clinical Platform with Big Data

Big Data analytics requires consistent data interpretation and unified data format in order to apply data computation algorithms to extract useful information, detect/predict trending and make improve the decision-making process. Health care has been one of the many fields medical or medicine data are collected in very divided format and, in many occasions, with subjective data interpretations [1, 2].

The research work looked into a newly developed system, the Integrated Biomedical Informatics System (IBIS/BRICS) [3] funded and developed by the National Institutes of Health (NIH), to understand how the data collection process can be improved with a creation of common data dictionary (CDE) and user definable form structure. We, then, proposed a software architecture to use Ethereum Blockchain [4] network to manage these collected datasets such that various organizations can participate in the network, and securely as well as reliably share medical results with each other. A huge medical data platform can therefore be created for big data analytics. We imported Taiwan Stroke Registry [5] data to IBIS/BRICS and exported them via a Blockchain Adapter onto Ethereum Blockchain network for management and future Big Data Analysis.