short-paper

Building Blocks of Negotiating Agents for Healthcare Data

Authors:

Svetlana Boudko,

Wolfgang LeisterAuthors Info & Claims

iiWAS2019: Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services

Pages 635 - 639

https://doi.org/10.1145/3366030.3366108

Published: 22 February 2020 Publication History

Abstract

The healthcare market demands advanced, flexible, and secure solutions for personal health data sharing. In our paper, we present preliminary work that proposes a distributed infrastructure of negotiating agents for the healthcare domain. This infrastructure will support healthcare stakeholders to share and access patient health data in a secure way, thus providing benefits for patients and their treatment. Distributed ledger technologies and smart contracts can be considered as a basis for negotiations between distributed agents that carry health-related data. We present an overview of related work and outline the research methodology.

References

[1]

Abdullah Al Omar, Mohammad Shahriar Rahman, Anirban Basu, and Shinsaku Kiyomoto. 2017. MediBchain: A Blockchain Based Privacy Preserving Platform for Healthcare Data. In Security, Privacy, and Anonymity in Computation, Communication, and Storage, Guojun Wang, Mohammed Atiquzzaman, Zheng Yan, and Kim-Kwang Raymond Choo (Eds.). Springer International Publishing, Cham, 534--543.

[2]

Blockchainhub. 2019. Smart Contracts. interactive web site. https://blockchainhub.net/smart-contracts accessed: 7 August, 2019.

[3]

James Brogan, Immanuel Baskaran, and Navin Ramachandran. 2018. Authenticating Health Activity Data Using Distributed Ledger Technologies. Computational and Structural Biotechnology Journal 16 (2018), 257--266. https://doi.org/10.1016/j.csbj.2018.06.004

[4]

Ian S. Burnett, Fernando Pereira, Rik Van de Walle, and Rob Koenen (Eds.). 2006. The MPEG-21 Book. John Wiley & Sons, Hoboken, NJ, USA. ISBN 0-47001011-8.

[5]

Clemens Cap. 2019. Grenzen der Blockchain (Limits of the Blockchain). Informatik Spektrum 42, 3 (05 2019), 191--196. https://doi.org/10.1007/s00287-019-01179-w in German.

[6]

Huashan Chen, Marcus Pendleton, Laurent Njilla, and Shouhuai Xu. 2019. A Survey on Ethereum Systems Security:Vulnerabilities, Attacks and Defenses. (2019). https://arxiv.org/pdf/1908.04507.pdf submitted.

[7]

More Crypto and Less Noise. 2019. Digital Rights Management - Why Steam Needs Blockchain. interactive web site. https://www.statista.com/statistics/793539/bitcoin-transaction-confirmation-time/ accessed: 04 September, 2019.

[8]

Digiconomist. 2019. Ethereum Energy Consumption Index (beta). interactive web site. https://digiconomist.net/ethereum-energy-consumption

[9]

Alevtina Dubovitskaya, Zhigang Xu, Samuel Ryu, Michael Schumacher, and Fusheng Wang. 2017. Secure and Trustable Electronic Medical Records Sharing using Blockchain. AMIA ... Annual Symposium proceedings. AMIA Symposium 2017 (2017), 650--659.

[10]

Ashutosh Dwivedi, Gautam Srivastava, Shalini Dhar, and Rajani Singh. 2019. A Decentralized Privacy-Preserving Healthcare Blockchain for IoT. Sensors 19, 2 (Jan 2019), 326. https://doi.org/10.3390/s19020326

[11]

Ethereum. 2019. Ethereum. interactive web site. https://www.ethereum.org/ accessed: 7 August, 2019.

[12]

European Parliament and Council of the European Union. 2016. General Data Protection Regulation (GDPR). Regulation (EU) 2016/679. http://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32016R0679

[13]

Peter Fairley. 2019. Ethereum Plans to Cut Its Absurd Energy Consumption by 99 Percent. https://spectrum.ieee.org/computing/networks/ethereum-plans-to-cut-its-absurd-energy-consumption-by-99-percent

[14]

Naoki Fukuta, Takayuki Ito, Minjie Zhang, Katsuhide Fujita, and Valentin Robu. 2016. Recent Advances in Agent-based Complex Automated Negotiation (1st ed.). Springer, Switzerland.

[15]

Kristen N. Griggs, Olya Ossipova, Christopher P. Kohlios, Alessandro N. Baccarini, Emily A. Howson, and Thaier Hayajneh. 2018. Healthcare Blockchain System Using Smart Contracts for Secure Automated Remote Patient Monitoring. Journal of Medical Systems 42, 7 (06 Jun 2018), 130. https://doi.org/10.1007/s10916-018-0982-x

Digital Library

[16]

David Hawig, Chao Zhou, Sebastian Fuhrhop, Andre S Fialho, and Navin Ramachandran. 2019. Designing a Distributed Ledger Technology System for Interoperable and General Data Protection Regulation-Compliant Health Data Exchange: A Use Case in Blood Glucose Data. J Med Internet Res 21, 6 (14 Jun 2019), e13665. https://doi.org/10.2196/13665

[17]

Luis-Daniel Ibanez, Kieron O'Hara, and Elena Simperl. 2018. On Blockchains and the General Data Protection Regulation. Project Report. EU Blockchain Forum and Observatory. https://eprints.soton.ac.uk/422879/

[18]

International Standards Organisation. 2004. Information technology---Multimedia framework (MPEG-21)---Part 1: Vision, Technologies and Strategy. Technical Report ISO/IEC TR 21000--1. ISO.

[19]

IOTA Foundation. 2019. IOTA: The next generation of distributed ledger technology. interactive web pages. https://www.iota.org/ accessed: 26 August, 2019.

[20]

IOTA Tutorial. 2019. Masked Authenticated Messaging. interactive web pages. https://iota-news.com/iota-tutorial-19-masked-authenticated-messaging/ accessed: 06 September, 2019.

[21]

T. Ito, H. Hattori, M. Zhang, and T. Matsuo (Eds.). 2008. Rational, Robust, and Secure Negotiations in Multi-Agent Systems. Studies in Computational Intelligence, Vol. 89. Springer, Berlin, Heidelberg.

[22]

Patty Kostkova, Helen Brewer, Simon de Lusignan, Edward Fottrell, Ben Goldacre, Graham Hart, Phil Koczan, Peter Knight, Corinne Marsolier, Rachel A McKendry, Emma Ross, Angela Sasse, Ralph Sullivan, Sarah Chaytor, Olivia Stevenson, Raquel Velho, and John Tooke. 2016. Who Owns the Data? Open Data for Healthcare. Front Public Health 21, 6 (17 02 2016), e13583. https://doi.org/10.3389/fpubh.2016.00007

[23]

Sarit Kraus. 2001. Automated Negotiation and Decision Making in Multiagent Environments. In Selected Tutorial Papers from the 9th ECCAI Advanced Course ACAI 2001 and Agent Link's 3rd European Agent Systems Summer School on Multi-Agent Systems and Applications (EASSS '01). Springer-Verlag, Berlin, Heidelberg, 150--172. http://dl.acm.org/citation.cfm?id=646141.680955

[24]

Wolfgang Leister. 2015. Open Licensing. In INF5780: Open Source, Open Collaboration and Innovation, Wolfgang Leister and Nils Damm Christophersen (Eds.). Number DART/03/2015 in NR Notat. Norsk Regnesentral, Oslo, Norway, Chapter 5, 107--136.

[25]

Wolfgang Leister, Trenton Schulz, Arne Lie, Knut Grythe, and Ilangko Balasingham. 2011. Quality of Service, Adaptation, and Security Provisioning in Wireless Patient Monitoring Systems. In Biomedical Engineering, Trends in Electronics, Communications and Software, Anthony N. Laskovski (Ed.). Intech, Rijeka, Croatia, Chapter 36, 711--736.

[26]

Zhaofeng Ma, Ming Jiang, Hongmin Gao, and Zhen Wang. 2018. Blockchain for digital rights management. Future Generation Computer Systems 89 (2018), 746--764.

Digital Library

[27]

Tim K Mackey, Tsung-Ting Kuo, Basker Gummadi, Kevin A Clauson, George Church, Dennis Grishin, Kamal Obbad, Robert Barkovich, and Maria Palombini. 2019. 'Fit-for-purpose?' - challenges and opportunities for applications of blockchain technology in the future of healthcare. BMC medicine 17, 1 (March 2019), 68. https://doi.org/10.1186/s12916-019-1296-7

[28]

Polina Mamoshina, Lucy Ojomoko, Yury Yanovich, Alex Ostrovski, Alex Botezatu, Pavel V. Prikhodko, Eugene A Izumchenko, Alexander Aliper, Konstantin Romantsov, Alexander Zhebrak, Iraneus Obioma Ogu, and Alex Zhavoronkov. 2018. Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research and healthcare. Oncotarget 9, 5 (2018), 5665--5690.

[29]

I. Marsa-Maestre, M.A. Lopez-Carmona, T. Ito, M. Zhang, Q. Bai, and K. Fujita (Eds.). 2014. Novel Insights in Agent-based Complex Automated Negotiation (1. ed.). Studies in Computational Intelligence, Vol. 535. Springer, Tokyo.

[30]

M. Mettler. 2016. Blockchain technology in healthcare: The revolution starts here. In 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom). IEEE, Munich, Germany, 1--3. https://doi.org/10.1109/HealthCom.2016.7749510

[31]

Satoshi Nakamoto. 2008. Bitcoin: A peer-to-peer electronic cash system. http://www.bitcoin.org/bitcoin.pdf

[32]

Osborne Clarke. 2019. Blockchain and GDPR: beyond the right to be forgotten. interactive web site. https://www.statista.com/statistics/793539/bitcoin-transaction-confirmation-time/ accessed: 05 September, 2019.

[33]

Terry Parker. 2016. Smart Contracts: The Ultimate Guide To Blockchain Smart Contracts - Learn How To Use Smart Contracts For Cryptocurrency Exchange! CreateSpace Independent Publishing Platform, USA.

[34]

Serguei Petrov. 2018. The tangle. interactive web site. https://static.blockchain.wtf/wp-content/uploads/IOTA_Whitepaper.pdf accessed: 28 August, 2019.

[35]

Yoav Shoham and Kevin Leyton-Brown. 2008. Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations. Cambridge University Press, New York, NY, USA.

Digital Library

[36]

Statista. 2019. Average confirmation time of Bitcoin transactions from June 2017 to June 2018 (in minutes). interactive web site. https://www.statista.com/statistics/793539/bitcoin-transaction-confirmation-time/ accessed: 26 August, 2019.

[37]

Melanie Swan. 2015. Blockchain: blueprint for a new economy. O'Reilly Media, Sebastopol, Calif.

[38]

Nick Szabo. 1997. The Idea of Smart Contracts. Perma.cc record. https://perma.cc/V6AZ-7V8W

[39]

Nick Szabo. 1998. Secure Property Titles with Owner Authority. reprint, Satoshi Nakamoto Institute. https://nakamotoinstitute.org/secure-property-titles/

[40]

Christian Wirth and Michael Kolain. 2018. Privacy by BlockChain Design: A BlockChain-enabled GDPR-compliant Approach for Handling Personal Data. In Proceedings of 1st ERCIM Blockchain Workshop 2018 (Reports of the European Society for Society Embedded Technologies), W. Printz and P. Hoschka (Eds.). European Society for Socially Embedded Technologies (EUSSET), Amsterdam, The Netherlands, 7. https://doi.org/10.18420/blockchain2018_03

[41]

Gavin Wood. 2014. Ethereum: A secure decentralised generalised transaction ledger. Ethereum Yellow Paper, EIP-150 REVISION. http://www.cryptopapers.net/papers/ethereum-yellowpaper.pdf

[42]

Michael Wooldridge. 2009. An Introduction to MultiAgent Systems (2nd ed.). Wiley Publishing, Hoboken, NJ, USA.

[43]

Ariel Zetlin-Jones and Bryan Routledge. 2019. What is a corporate blockchain. IBM Blockchain Blog, Blockchain education. https://www.ibm.com/blogs/blockchain/2019/01/what-is-a-corporate-blockchain/

[44]

Xiaochen Zheng, Shengjing Sun, Raghava Rao Mukkamala, Ravi Vatrapu, and Joaquín Ordieres-Meré. 2019. Accelerating Health Data Sharing: A Solution Based on the Internet of Things and Distributed Ledger Technologies. J Med Internet Res 21, 6 (06 Jun 2019), e13583. https://doi.org/10.2196/13583

[45]

Xiaoyang Zhu and Youakim Badr. 2018. Identity Management Systems for the Internet of Things: A Survey Towards Blockchain Solutions. Sensors 18, 12 (Dec. 2018), 4215. https://hal.archives-ouvertes.fr/hal-01945947

Cited By

Piliuk KTomforde S(2023)Artificial Intelligence in Emergency Medicine. A Systematic Literature Review.International Journal of Medical Informatics10.1016/j.ijmedinf.2023.105274(105274)Online publication date: Oct-2023
https://doi.org/10.1016/j.ijmedinf.2023.105274
Boudko SLeister W(2022)Bilateral Bargaining for Healthcare Data SharingInformation Integration and Web Intelligence10.1007/978-3-031-21047-1_36(415-420)Online publication date: 20-Nov-2022
https://doi.org/10.1007/978-3-031-21047-1_36

Index Terms

Building Blocks of Negotiating Agents for Healthcare Data

Recommendations

Blockchain-Enabled Electronic Health Records for Healthcare 4.0

Healthcare delivery is on the verge of a fundamental shift into the new era of smart and connected health care, termed Health Care 4.0. Sharing healthcare data is an important step in improving the healthcare system's intelligence and service quality. ...
Healthcare Blockchain System Using Smart Contracts for Secure Automated Remote Patient Monitoring

As Internet of Things (IoT) devices and other remote patient monitoring systems increase in popularity, security concerns about the transfer and logging of data transactions arise. In order to handle the protected health information (PHI) generated by ...
CIDDS: A Configurable and Distributed DAG-based Distributed Ledger Simulation Framework
Middleware '18: Proceedings of the 19th International Middleware Conference (Posters)

Directed Acyclic Graph (DAG) based Distributed Ledger Technologies (DLT) such as IOTA Tangle has been proposed to address the inefficiencies of traditional blockchains, including the issues with scalability, high resource consumptions, and the ...

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences

iiWAS2019: Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services

December 2019

709 pages

ISBN:9781450371797

DOI:10.1145/3366030

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

In-Cooperation

JKU: Johannes Kepler Universität Linz
@WAS: International Organization of Information Integration and Web-based Applications and Services

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 February 2020

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Short-paper
Research
Refereed limited

Funding Sources

Norges Forskningsråd

Conference

iiWAS2019

iiWAS2019: The 21st International Conference on Information Integration and Web-based Applications & Services

December 2 - 4, 2019

Munich, Germany

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
93
Total Downloads

Downloads (Last 12 months)6
Downloads (Last 6 weeks)4

Reflects downloads up to 25 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Piliuk KTomforde S(2023)Artificial Intelligence in Emergency Medicine. A Systematic Literature Review.International Journal of Medical Informatics10.1016/j.ijmedinf.2023.105274(105274)Online publication date: Oct-2023
https://doi.org/10.1016/j.ijmedinf.2023.105274
Boudko SLeister W(2022)Bilateral Bargaining for Healthcare Data SharingInformation Integration and Web Intelligence10.1007/978-3-031-21047-1_36(415-420)Online publication date: 20-Nov-2022
https://doi.org/10.1007/978-3-031-21047-1_36

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents