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Blockchain Technology, Cognitive Computing, and Healthcare Innovations

Jeff Daniel 1, Arman Sargolzaei 2, Mohammed Abdelghani 3, Saman Sargolzaei 4,5, Ben Amaba 6
1. Lockheed Martin, Dallas, TX, USA
2. Florida Polytechnic University, Lakeland, FL, USA
3. University of Alberta, Edmonton, AB, Canada
4. University of California Los Angeles, Los Angeles, CA, USA
5. Rancs Group LLC, Wilmington, DE, USA
6. IBM Corporations, Miami, FL, USA
Abstract— Exponential growth of the impact of information technology innovation is an indispensable part of today’s industry. Blockchain technology has identified itself as an efficiency booster and service optimization for financial industries. Yet non-financial venues have gained little benefit from this new major horizon, Blockchain technology. It offers a secure way to exchange any kind of good, service, or transaction. Industrial growth increasingly depends on trusted partnerships; but increasing regulation, cybercrime and fraud are inhibiting expansion. Blockchain enables more agile value chains, faster product innovations, closer customer relationships, and faster integration with the Internet of Things (IoT) and cloud technology. Now with Cloud and Blockchain technologies providing high computing power and network capabilities, cognitive systems are available tools to deepen the relationship between humans and the world. Many problems that have been with our society for a long time can be solved. Cognitive systems are the tools to accomplish that ambitious goal. This study is continuing our effort on surveying the applicability of Blockchain technology innovation in non-finance (non-bitcoin). The study concluded with discussing opportunities and challenges of the application of two intra-horizons of Blockchain technology, Cognitive Computing and Healthcare. 

Index Terms—blockchain technology, cognitive computing, healthcare innovation, scalability, trust

Cite: Jeff Daniel, Arman Sargolzaei, Mohammed Abdelghani, Saman Sargolzaei, Ben Amaba, "Blockchain Technology, Cognitive Computing, and Healthcare Innovations," Vol. 8, No. 3, pp. 194-198, August, 2017. doi: 10.12720/jait.8.3.194-198
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