A Blockchain Framework for Securing Ambient Health Care Systems

Authors

  • Anita Jasmine R SRM University
  • M Ramla Department of Computer Applications, Faculty of Science and Humanities, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu District, Tamil Nadu, India
  • M Ramesh Department of Computer Science, Faculty of Science and Humanities, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu District, Tamil Nadu, India

DOI:

https://doi.org/10.12725/ujbm.68.1

Keywords:

Ambient Computing, AIoT, Pervasive Computing, Ethics, Reponsible AI, AmI

Abstract

In the world of wearable technology, smart homes and cities, innovation continues to thrive. Computing is pervasive, and ambient computing is ubiquitous integration of computer into the background of everyday environments and situations. With contact-free sensors and wearables that require interaction, ambient computing is increasingly finding use in the healthcare industry. This ubiquitous nature of ambient computing raises concerns on privacy, confidentiality, data protection, informed consent and fairness. The continuous collection of massive health care data not only unobtrusively monitors the health condition of the patient and trajectory for high quality care but also has a detrimental effect in terms of privacy, bias and fairness. This paper discusses the main ethical issues in ambient health care systems and explores the blockchain based solutions for ambient health care systems emphasizing on patient dignity and autonomy. Furthermore, a secure EHR access using RBAC and Cryptographic techniques for the responsible development and use of ambient health care systems is proposed in this research work.

References

References

Rahaman A, Islam M, Islam M, Sadi M, Nooruddin S. Developing IoT based smart health monitoring systems: a review. Rev IntellArtif. 2019;33:435–40. https://doi.org/10.18280/ria.330605.

Riazul Islam SM, Kwak Daehan, Humaun Kabir M, Hossain M, Kwak Kyung-Sup. The Internet of Things for health care: a comprehensive survey. IEEE Access. 2015;3:678–708. https://doi.org/10.1109/ACCESS.2015.2437951.

Ai, Yun, et al. "Determinants of patients' satisfaction and trust toward healthcare service environment in general practice clinics." Frontiers in Psychology 13 (2022): 856750.

Hasan M, Islam MM, Zarif MII, Hashem MMA. Attack and anomaly detection in IoT sensors in IoT sites using machine learning approaches. Internet Things. 2019;7:100059. https://doi.org/10.1016/j.iot.2019.100059.

Nooruddin S, Milon Islam M, Sharna FA. An IoT based device-type invariant fall detection system. Internet Things. 2020;9:100130.

Sholla, Sahil, Roohie Naaz Mir, and Mohammad Ahsan Chishti. "Towards the design of ethics aware systems for the Internet of Things." China Communications 17.2 (2020): 239-252.

Denecke, Kerstin, et al. "Ethical issues of social media usage in healthcare." Yearbook of medical informatics 24.01 (2015): 137-147.

Sholla, Sahil, Roohie Naaz, and Mohammad Ahsan Chishti. "Ethics aware object oriented smart city architecture." China Communications 14.5 (2017): 160-173.

Rawal, V.; Mascarenhas, P.; Shah, M.; Kondaka, S.S. White Paper: Blockchain for Healthcare an Opportunity to Address Many Complex Challenges in Healthcare; CitiusTech: Princeton, NJ, USA, 2017.

Dimitrov, D.V. Blockchain Applications for Healthcare Data Management. Healthc. Inform. Res. 2019,

Aste, T.; Tasca, P.; Di Matteo, T. Blockchain Technologies: The Foreseeable Impact on Society and Industry. Computer 2017, 50, 18–28. [Google Scholar] [CrossRef] [Green Version]

Mettler, M. Blockchain technology in healthcare: The revolution starts here. In Proceedings of the 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom), Munich, Germany, 14–16 September 2016; pp. 1–3.

Kuo, T.T.; Kim, H.E.; Ohno-Machado, L. Blockchain distributed ledger technologies for biomedical and health care applications. J. Am. Med. Inform. Assoc. 2017, 24, 1211–1220. [CrossRef] [PubMed]

Stagnaro, C. White Paper: Innovative Blockchain Uses in Health Care. Available online: https://www. freedassociates.com/ (accessed on 24 April 2019).

Hölbl, M.; Kompara, M.; Kamišali´c, A.; Nemec Zlatolas, L. A Systematic Review of the Use of Blockchain in Healthcare. Symmetry 2018, 10, 470. [CrossRef]

Radanovi´c, I.; Liki´c, R. Opportunities for Use of Blockchain Technology in Medicine. Appl. Health Econ. Health Policy 2018, 16, 583–590. [CrossRef]

Siyal, A.; Junejo, A.; Zawish, M.; Ahmed, K.; Khalil, A.; Soursou, G. Applications of Blockchain Technology in Medicine and Healthcare: Challenges and Future Perspectives. Cryptography 2019, 3, 3. [CrossRef]

McGhin, T.; Choo, K.K.R.; Liu, C.Z.; He, D. Blockchain in healthcare applications: Research challenges and opportunities. J. Netw. Comput. Appl. 2019, 135, 62–75. [CrossRef]

Azaria, A.; Ekblaw, A.; Vieira, T.; Lippman, A. Medrec: Using blockchain for medical data access and permission management. In Proceedings of the 2016 2nd International Conference on Open and Big Data (OBD), Vienna, Austria, 22–24 August 2016; pp. 25–30.

Zhang, J.; Xue, N.; Huang, X. A secure system for pervasive social network-based healthcare. IEEE Access 2016, 4, 9239–9250. [CrossRef]

]. Xia, Q.; Sifah, E.B.; Asamoah, K.O.; Gao, J.; Du, X.; Guizani, M. MeDShare: Trust-less medical data sharing among cloud service providers via blockchain. IEEE Access 2017, 5, 14757–14767. [CrossRef]

Yue, X.; Wang, H.; Jin, D.; Li, M.; Jiang, W. Healthcare data gateways: Found healthcare intelligence on blockchain with novel privacy risk control. J. Med. Syst. 2016, 40, 218. [CrossRef] [PubMed]

Xia, Q. I., et al. "MeDShare: Trust-less medical data sharing among cloud service providers via blockchain." IEEE access 5 (2017): 14757-14767.

Yue, Xiao, et al. "Healthcare data gateways: found healthcare intelligence on blockchain with novel privacy risk control." Journal of medical systems 40 (2016): 1-8.

Z. Zheng, S. Xie, H. Dai, and H. Wang, ‘‘An overview of blockchain technology: Architecture, consensus, and future trends,’’ in Proc. IEEE Int. Congr. Big Data, Big Data Congr., Jun. 2017, pp. 557–564.

Downloads

Published

2024-10-15

How to Cite

R, A. J., Ramla, M., & Ramesh, M. (2024). A Blockchain Framework for Securing Ambient Health Care Systems. Ushus Journal of Business Management, 23(3), 1-17. https://doi.org/10.12725/ujbm.68.1