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Blockchain Technology in Healthcare

Topics: Agent-based Interfaces; Ambient Intelligence; Assistive Technology and Adaptive Systems; Business Models for Telemedicine and e-Health; Cognitive Stimulation; Collaboration Systems for AAL; Computer Vision; Data Analytics and Health; Decision Support Systems; Diagnostic Support; e-Health and Education; Electronic Health Records; Healthcare Robotics; Intelligent Companions; Internet of Things for AAL; Interoperability and System Integration; Knowledge Systems and Ontologies; Mobile Health Monitoring; Multi-modal Interaction ; Open Data and Health Information; Remote Monitoring; Security and Privacy in e-Health; Smart Devices; Smart Environments and Housing; Software Development; Training Cognitive Abilities; Web Content Accessibility

Author: Dean Rakic

Affiliation: Enterprise Application Development (EAD), Germany

ISBN: 978-989-758-299-8

Keyword(s): Blockchain, IoT, Interoperability, Patient Record, E-Health, Evidence-based, Predictive Analytics.

Related Ontology Subjects/Areas/Topics: Ambient Intelligence ; Artificial Intelligence ; Business Analytics ; Cardiovascular Technologies ; Computing and Telecommunications in Cardiology ; Data Engineering ; Decision Support Systems ; Decision Support Systems, Remote Data Analysis ; Health Engineering and Technology Applications ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Software Development ; Symbolic Systems

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 several formats:
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

@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},
}

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

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