Blockchain Technology in Healthcare

Dean Rakic

Abstract

A big portion of data that are produced by various digital ecosystems has met a lack of interoperability on the line between applications, data streams and predictability in the healthcare. The new technology approach in the distributed messaging and Blockchain became a key component of many healthcare technology stacks and can derive real-time data streams as valuable and scalable enough to enable real-time healthcare predictive analytics. Besides, ingesting data streams from various sources from patterns of data can extend healthcare trend analysis to the higher level of prediction, accuracy and improve models that suffer from complex and long-running analyses. A better response, lower availability requirements and unifying predictive modelling will accelerate healthcare interoperability and thus increase the accuracy of diagnoses, put the evidence-based medicine (EBM) in the right direction and other healthcare benefits which increase optimum outcomes and quality.

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Paper Citation


in Harvard Style

Rakic D. (2018). Blockchain Technology in Healthcare.In Proceedings of the 4th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE, ISBN 978-989-758-299-8, pages 13-20. DOI: 10.5220/0006531600130020


in Bibtex Style

@conference{ict4awe18,
author={Dean Rakic},
title={Blockchain Technology in Healthcare},
booktitle={Proceedings of the 4th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE,},
year={2018},
pages={13-20},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006531600130020},
isbn={978-989-758-299-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE,
TI - Blockchain Technology in Healthcare
SN - 978-989-758-299-8
AU - Rakic D.
PY - 2018
SP - 13
EP - 20
DO - 10.5220/0006531600130020