Generative Data Intelligence

Privacy-Conflict Resolution for Integrating Personal- and Electronic Health Records in Blockchain-Based Systems

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Susskind RE, Susskind D. The future of the professions: how technology will transform the work of human experts. Oxford University Press; 2015.

Mercille J. Privatization in the Irish hospital sector since 1980. J Public Health. 2018;40:863–70. https://doi.org/10.1093/pubmed/fdy027

Archer N, Fevrier-Thomas U, Lokker C, McKibbon KA, Straus SE. Personal health records: a scoping review. J Am Med Inform Assoc. 2011;18:515–22. https://doi.org/10.1136/amiajnl-2011-000105

Levitan B, Getz K, Eisenstein EL, Goldberg M, Harker M, Hesterlee S, et al. Assessing the financial value of patient engagement: a quantitative approach from CTTI’s Patient Groups and Clinical Trials project. Ther Innov Regul Sci. 2018;52:220–9. https://doi.org/10.1177/2168479017716715

Dimitrov DV. Medical internet of things and big data in healthcare. Healthc Inform Res. 2016;22:156–63. https://doi.org/10.4258/hir.2016.22.3.156

Kormiltsyn A, Udokwu C, Karu K, Thangalimodzi K, Norta A. Improving healthcare processes with smart contracts. In: Proceedings of the international conference on business information systems. Springer, 2019; pp. 500–13.

Norta A, Hawthorne D, Engel SL. A privacy-protecting data-exchange wallet with ownership-and monetization capabilities. In: Proceedings of the 2018 International Joint Conference on Neural Networks (IJCNN). IEEE, 2018; pp. 1–8.

Eccher C, Piras EM, Stenico M. TreC – a REST-based Regional PHR. User Centred Networked Health Care A. Moen et al. (Eds.) IOS Press, 2011. https://doi.org/10.3233/978-1-60750-806-9-108

Urbauer P, Sauermann S, Frohner M, Forjan M, Pohn B, Mense A. Applicability of IHE/Continua components for PHR systems: learning from experiences. Comput Biol Med. 2015;59:186–93. https://doi.org/10.1016/j.compbiomed.2013.12.003

Zhang R, Liu L. Security models and requirements for healthcare application clouds. In Proceedings of the 2010 IEEE 3rd International Conference on Cloud Computing. IEEE, 2010; pp. 268–75.

Narendra NC, Norta A, Mahunnah M, Ma L, Maggi FM. Sound conflict management and resolution for virtual-enterprise collaborations. Serv Oriented Comput Appl. 2016;10:233–51. https://doi.org/10.1007/s11761-015-0183-0

Szabo N. Smart contracts: building blocks for digital markets. EXTROPY J Transhumanist Thought. 1996;18:2.

European Union. Charter of fundamental rights of The European Union [Internet]. Europa.eu; 2012 [cited 2023 Jun 15]. Available from: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex:12012P/TXT

Standard Contractual Clauses (SCC) [Internet]. European Commission—European Commission. [cited 2023 Jun 15]. Available from: https://ec.europa.eu/info/law/law-topic/data-protection/international-dimension-data-protection/standard-contractual-clauses-scc_en

Introduction to the hash function as a personal data pseudonymisation technique. European Data Protection Supervisor [Internet]. edps.europa.eu. 2023 [cited 2023 Nov 15]. Available from: https://edps.europa.eu/data-protection/our-work/publications/papers/introduction-hash-function-personal-data_en

Sun W, Cai Z, Li Y, Liu F, Fang S, Wang G. Security and privacy in the medical internet of things: a review. Secur Commun Netw. 2018;2018:5978636. https://doi.org/10.1155/2018/5978636

Al-Muhtadi J, Shahzad B, Saleem K, Jameel W, Orgun MA. Cybersecurity and privacy issues for socially integrated mobile healthcare applications operating in a multi-cloud environment. Health Inform J. 2019;25:315–29. https://doi.org/10.1177/1460458217706184

Katurura M, Cilliers L. A review of the implementation of electronic health record systems on the African continent. In: Proceedings of the African Computer and Information System & Technology Conference. 2017; pp. 10–11.

Cilliers L. Wearable devices in healthcare: privacy and information security issues. Health Inf Manag J. 2019;49(2–3):150–6. https://doi.org/10.1177/1833358319851684

Luo E, Bhuiyan MZA, Wang G, Rahman MA, Wu J, Atiquzzaman M. Privacyprotector: privacy-protected patient data collection in IoT-based healthcare systems. IEEE Commun Mag. 2018;56:163–8. https://doi.org/10.1109/MCOM.2018.1700364

Hussein AF, ArunKumar N, Ramirez-Gonzalez G, Abdulhay E, Tavares JMR, de Albuquerque VHC. A medical records managing and securing blockchain based system supported by a genetic algorithm and discrete wavelet transform. Cogn Syst Res. 2018;52:1–11. https://doi.org/10.1016/j.cogsys.2018.05.004

Zhang P, White J, Schmidt DC, Lenz G, Rosenbloom ST. Fhirchain: applying blockchain to securely and scalably share clinical data. Comput Struct Biotechnol J. 2018;16:267–78. https://doi.org/10.1016/j.csbj.2018.07.004

Azorin-Lopez J, Fuster-Guillo A, Saval-Calvo M, Bradley D. Home technologies, smart systems and eHealth. In: Mechatronic futures. Springer, 2016; pp. 179–200.

Dittmar A, Meffre R, De Oliveira F, Gehin C, Delhomme G. Wearable medical devices using textile and flexible technologies for ambulatory monitoring. In: Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference. IEEE, 2006; pp. 7161–4.

Sebestyen G, Hangan A, Oniga S, Gál Z. eHealth solutions in the context of Internet of Things. In: Proceedings of the 2014 IEEE International Conference on Automation, Quality and Testing, Robotics. IEEE, 2014, pp. 1–6.

Salehi S, Giacalone M. Conflict resolution with equitative algorithms: a tool to establish a European common ground of available rights. In: F. Romeo, S. Martuccelli & M. Giacalone (Eds.). The European common ground of available rights. Napoli: Editoriale Scientifica; 2009, p.111.

Xu H, Hipel KW, Kilgour DM, Fang L. Conflict resolution using the graph model: strategic interactions in competition and cooperation. Springer, 2018.

Neyens G. Conflict handling for autonomic systems. In: Proceedings of the 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems (FAS* W). IEEE, 2017; pp. 369–70.

Priya KF, Patil NN. Resolving privacy conflict for maintaining privacy policies in online social networks. Int J Comput Eng Technol. 2019;10:94–101. https://doi.org/10.34218/IJCET.10.3.2019.011

Hölbl M, Kompara M, Kamišalić A, Nemec Zlatolas L. A systematic review of the use of blockchain in healthcare. Symmetry. 2018;10:470. https://doi.org/10.3390/sym10100470

Agbo CC, Mahmoud QH, Eklund JM. Blockchain technology in healthcare: a systematic review. In: Proceedings of the healthcare. Multidisciplinary Digital Publishing Institute, 2019; Vol. 7, p. 56.

McGhin T, Choo KKR, Liu CZ, He D. Blockchain in healthcare applications: research challenges and opportunities. J Netw Comput Appl. 2019;135:62–75. https://doi.org/10.1016/j.jnca.2019.02.027

Swan M. Blockchain: blueprint for a new economy. O’Reilly Media, Inc; 2015.

Buterin V. A next generation smart contract & decentralized application platform. Whitepaper. Ethereum Foundation; 2013.

Becker G. Merkle signature schemes, merkle trees and their cryptanalysis. Ruhr-University Bochum, Tech. Rep; 2008.

Hevner A, Chatterjee S. Design science research in information systems. Integrated Series in Information Systems. 2010; pp. 9–22.

Westaway MD, Stratford PW, Binkley JM. The patient-specific functional scale: validation of its use in persons with neck dysfunction. J Orthop Sports Phys Ther. 1998;27:331–8. https://doi.org/10.2519/jospt.1998.27.5.331

Nguyen GT, Kim K. A survey about consensus algorithms used in blockchain. J Inf Process Syst. 2018;14:101–28.

Bitcoin—Open source P2P money [Internet]. bitcoin.org. [cited 2023 Jun 15]. Available from: https://bitcoin.org

Home | Ethereum [Internet]. ethereum.org. 2019 [cited 2023 Jun 15]. Available from: https://www.ethereum.org

Hyperledger Fabric—Hyperledger [Internet]. Hyperledger; 2017 [cited 2023 Jun 15]. Available from: https://www.hyperledger.org/projects/fabric

Udokwu C, Kormiltsyn A, Thangalimodzi K, Norta A. The state of the art for blockchain-enabled smart-contract applications in the organization. In: Proceedings of the 2018 Ivannikov Ispras Open Conference (ISPRAS). IEEE, 2018; pp. 137–44.

Weyl EG, Ohlhaver P, Buterin V. Decentralized society: Finding Web3’s soul. Available at SSRN 4105763 2022.

Thematic Report [Internet]. Available from: https://www.eublockchainforum.eu/sites/default/files/report_identity_v0.9.4.pdf

Damjan M. The interface between blockchain and the real world. In: Ragion pratica. 2018; pp. 379–406.

Caldarelli G, Ellul J. The blockchain oracle problem in decentralized finance—a multivocal approach. Appl Sci. 2021;11:7572. https://doi.org/10.3390/app11167572

Liu L, Zhou S, Huang H, Zheng Z. From technology to society: an overview of blockchain-based DAO. IEEE Open J Comput Soc. 2021.

Grefen P, Aberer K, Hoffner Y, Ludwig H. CrossFlow: cross-organizational workflow management in dynamic virtual enterprises. Comput Syst Sci Eng. 2000;1:277–90.

Rahmani AM, Thanigaivelan NK, Gia TN, Granados J, Negash B, Liljeberg P, et al. Smart e-health gateway: bringing intelligence to internet-of-things based ubiquitous health-care systems. In: Proceedings of the 2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC). IEEE, 2015; pp. 826–34.

Leiding B, (sup) Dieter Hogrefe, Clemens HC, Norta A. The M2X economy—business interactions, transactions and collaborations among autonomous smart devices. PhD thesis, Georg-August-Universitaet Goettingen, 2019.

Shiang CW, Meyer JJ, Taveter K. Agent-oriented methodology for designing cognitive agents for serious games. Engineering multi-agent systems. 2016; p. 39.

Barr ET, Harman M, McMinn P, Shahbaz M, Yoo S. The oracle problem in software testing: a survey. IEEE Trans Softw Eng. 2014;41:507–25. https://doi.org/10.1109/TSE.2014.2372785

Norta A, Mahunnah M, Tenso T, Taveter K, Narendra NC. An agent-oriented method for designing large socio-technical service-ecosystems. In: Proceedings of the 2014 IEEE World Congress on Services. IEEE, 2014; pp. 242–9.

Sherkat M, Mendoza A, Miller T, Burrows R. Emotional attachment framework for people-oriented software. arXiv preprint arXiv:1803.08171 2018.

Kormiltsyn A. A systematic approach to define requirements and engineer the ontology for semantically merging data sets for personal-centric healthcare systems. 2018.

Sherkat M. Emotionalism in software engineering. PhD thesis, 2019.

Mendoza A, Miller T, Pedell S, Sterling L, et al. The role of users’ emotions and associated quality goals on appropriation of systems: two case studies. In: Proceedings of the 24th Australasian Conference on Information Systems. 2013.

Avizienis A, Laprie JC, Randell B, Landwehr C. Basic concepts and taxonomy of dependable and secure computing. IEEE Trans Dependable Secure Comput. 2004;1:11–33. https://doi.org/10.1109/TDSC.2004.2

Abouelmehdi K, Beni-Hessane A, Khaloufi H. Big healthcare data: preserving security and privacy. J Big Data. 2018;5:1. https://doi.org/10.1186/s40537-017-0110-7

Fulpagare Priya K, Patil NN. Conflict detection techniques for preserving privacy in social media. 2018.

Udokwu C, Norta A. Deriving and formalizing requirements of decentralized applications for inter-organizational collaborations on blockchain. Arab J Sci Eng. 2021;46:8397–8414. https://doi.org/10.1007/s13369-020-05245-4

Jensen K, Kristensen LM. Coloured Petri nets: modelling and validation of concurrent systems. Springer Science & Business Media, 2009.

Mahunnah M, Norta A, Ma L, Taveter K. Heuristics for designing and evaluating socio-technical agent-oriented behaviour models with coloured petri nets. In: Proceedings of the Computer Software and Applications Conference Workshops (COMPSACW), 2014 IEEE 38th International. IEEE, 2014; pp. 438–43.

Norta A, Kormiltsyn A, Udokwu C, Dwivedi V, Aroh S, Nikolajev I. A blockchain implementation for configurable multi-factor challenge-set self-sovereign identity authentication. In: Ezzat SK, Saleh YN, Abdel-Hamid AA (Eds.). Blockchain Oracles: state-of-the-art and research directions. IEEE Access; 2022.

Riley L. Universal DLT interoperability is now a practical reality. Hyperledger Foundation Blog [Internet]. 2021 [cited 2023 Oct 7]. Available from: https://www.hyperledger.org/blog/2021/05/10/universal-dlt-interoperability-is-now-a-practical-reality

Kormiltsyn A, Norta A. Dynamically integrating electronic-with personal health records for ad-hoc healthcare quality improvements. In: Proceedings of the International Conference on Digital Transformation and Global Society. Springer, 2017; pp. 385–99.

Norta AH. Exploring dynamic inter-organizational business process collaboration [Internet]. 2007 [cited 2023 Oct 7]. Available from: https://research.tue.nl/files/2003544/200710444.pdf

Kormiltsyn A, Norta A. Formal evaluation of privacy-conflict resolution for integrating personal-and electronic health records in blockchain-based systems. Technical report. 2022.

Norta A, Eshuis R. Specification and verification of harmonized business-process collaborations. Inf Syst Front. 2010;12:457–79. https://doi.org/10.1007/s10796-009-9164-1

Zhao F, Xiang D, Liu G, Jiang C. A new method for measuring the behavioral consistency degree of WF-net systems. IEEE Trans Comput Soc Syst. 2021;9:480–93. https://doi.org/10.1109/TCSS.2021.3099475

Weidlich M. Behavioural profiles: a relational approach to behaviour consistency. PhD thesis, Universität Potsdam; 2011.

Workflow Nets—ML Wiki [Internet]. mlwiki.org. [cited 2023 Jul 11]. Available from: https://mlwiki.org/index.php/Workflow_Nets

Gehlot V, Sloane E, Thalassinidis AE. Personal health technology: CPN based modeling of coordinated neighborhood care environments (hubs) and personal care device ecosystems. 2019.

Jensen K, Kristensen LM, Wells L. Coloured Petri Nets and CPN Tools for modelling and validation of concurrent systems. Int J Softw Tools Technol Transf. 2007;9:213–54. https://doi.org/10.1007/s10009-007-0038-x

sanamnisarmalik. sanamnisarmalik/hprivacyconflictresolutionbyblockchain [Internet]. GitHub. 2022 [cited 2023 Sep 25]. Available from: https://github.com/sanamnisarmalik/hprivacyconflictresolutionbyblockchain

Nisar S. Defining blockchain-based techniques for privacy conflict-resolution in cross-organizational processes for e-health systems. Master’s thesis, University of Tartu, Faculty of Science and Technology Institute of Computer Science; 2022.

Blockchains for mass adoption [Internet]. polygon.technology. [cited 2023 Jun 15]. Available from: https://polygon.technology

Polkadot: Web3 Interoperability | Decentralized blockchain [Internet]. Polkadot Network. [cited 2023 Oct 4]. Available from: https://www.polkadot.network/

Substrate And Polkadot | Substrate_ [Internet]. substrate.io. [cited 2023 Jun 15]. Available from: https://substrate.io/vision/substrate-and-polkadot/

Stahnke S, Shumaiev K, Cuellar J, Kasinathan P. Enforcing a cross-organizational workflow: an experience report. In: Proceedings of the Enterprise, Business-Process and Information Systems Modeling: 21st International Conference, BPMDS 2020, 25th International Conference, EMMSAD 2020, Held at CAiSE 2020, Grenoble, France, June 8–9, 2020, Proceedings 21. Springer, 2020; pp. 85–98.

Park G, van der Aalst WM. Towards reliable business process simulation: a framework to integrate ERP systems. In Proceedings of the Enterprise, Business-Process and Information Systems Modeling: 22nd International Conference, BPMDS 2021, and 26th International Conference, EMMSAD 2021, Held at CAiSE 2021, Melbourne, VIC, Australia, June 28–29, 2021, Proceedings. Springer, 2021; pp. 112–27.

Jadav D, Jadav NK, Gupta R, Tanwar S, Alfarraj O, Tolba A, et al. A trustworthy healthcare management framework using amalgamation of AI and blockchain network. Mathematics. 2023;11:637. https://doi.org/10.3390/math11030637

Kim J, Kim M. DeepBlockShield: blockchain agent-based secured clinical data management model from the deep web environment. Mathematics. 2021;9:1069. https://doi.org/10.3390/math9091069

Abbas A, Alroobaea R, Krichen M, Rubaiee S, Vimal S, Almansour FM. Blockchain-assisted secured data management framework for health information analysis.

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