@inproceedings{baedbb9474904454b4c1336d9e6ba4fe,
title = "How blockchain could empower ehealth: An application for radiation oncology: (Extended abstract)",
abstract = "Electronic medical records (EMRs) contain critical, highly sensitive private healthcare information, and need to be frequently shared among peers. Blockchain provides a shared, immutable and transparent history of all the transactions to build applications with trust, accountability and transparency. This provides a unique opportunity to develop a secure and trustable EMR data management and sharing system using blockchain. In this paper, we discuss our perspectives on blockchain based healthcare data management and present a prototype of a framework for managing and sharing EMR data for cancer patient care.",
keywords = "Blockchain, eHealth, EMR, Radiation oncology",
author = "Alevtina Dubovitskaya and Zhigang Xu and Samuel Ryu and Michael Schumacher and Fusheng Wang",
note = "Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG.; 3rd International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2017 held in conjunction with the 43rd International Conference on Very Large Data Bases, VLDB 2017 ; Conference date: 01-09-2017 Through 01-09-2017",
year = "2017",
doi = "10.1007/978-3-319-67186-4\_1",
language = "English",
isbn = "9783319671857",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "3--6",
editor = "Edmon Begoli and Gang Luo and Fusheng Wang",
booktitle = "Data Management and Analytics for Medicine and Healthcare - 3rd International Workshop, DMAH 2017 Held at VLDB 2017, Proceedings",
}