Abstract
The advent of IoT and blockchain had led to its subsequent proliferation in the medical industry. IoT and its devices are exclusively accompanied by its security threats such as its access to extremely sensitive data while establishing security and confidentiality as top concerns; this can be anonymized by incorporating blockchain. Owing to the trust-building features of blockchain, it may encourage the enhanced and broad adoption of IoT devices into the healthcare industry. The surrounding robust data protection and integrity are pivotal keys to help secure these devices, enabling the respective personnel to have a command over who uses this data and its purpose. The records in IoT devices are more susceptible to chances of identity thefts, financial data crimes, and spamming as patients don’t own any control over their records/data. The availability of acutely handy IoT devices had still not let patients collect, analyze, secure, and exchange healthcare information seamlessly. Adopting a blockchain and IoT clustered solution can help accomplish a smooth, transparent, economically efficient, and easily operable system combined with secure payment options.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
A. Firdaus, N.B. Anuar, M. Faizal, I.A.T. Hashem, S. Bachok, A. Kumar, Root exploit detection and features optimization: Mobile device and blockchain-based medical data management. J. Med. Syst. 42(6), 1 (2018 June). https://doi.org/10.1007/s10916-018-0966-x
T. Bocek, B.B. Rodrigues, T. Strasser, B. Stiller, Blockchains Everywhere – A Use-Case of Blockchains in the Pharma Supply-Chain (2017 May). https://doi.org/10.23919/INM.2017.7987376
E. Chukwu, L. Garga, Systematic review of blockchain in healthcare: Frameworks, prototypes, and implementations. IEEE Access 8, 21196 (2020 January 7)
WHO, World Health Statistics 2018: Monitoring Health for the SDGs (WHO, Geneva, 2018)
AAMC, Careers in medicine (2019). Accessed: Jan. 29, 2019. [Online]. Available: https://www.aamc.org/cim/specialty/exploreoptions/list/
P. Zhang, D.C. Schmidt, J. White, G. Lenz, Blockchain technology use cases in healthcare. Adv. Comput. 111, 1–41 (2018 January)
X. Zheng, R.R. Mukkamala, R. Vatrapu, J. Ordieres-Mere, Blockchain-based personal health data sharing system using cloud storage, in Proceedings of the IEEE 20th International Conference on e-Health Networking, Applications Services (Healthcom), September 2018, (2018), pp. 1–6
X. Liang, J. Zhao, S. Shetty, J. Liu, D. Li, Integrating blockchain for data sharing and collaboration in mobile healthcare applications, in Proceedings of the IEEE 28th Annual International Symposium on Personal, Indoor, Mobile Radio Communication (PIMRC), October 2017, (2017), pp. 1–5
Y. Du, J. Liu, Z. Guan, H. Feng, A medical information service platform based on distributed cloud and blockchain, in Proceedings of the IEEE International Conference on Smart Cloud (SmartCloud), September 2018, (2018), pp. 34–39
C. Ananth, M. Karthikeyan, N. Mohananthini, A secured healthcare system using private blockchain technology. J. Eng. Technol. 6(2), 42–54 (2018)
[49] G. Srivastava, A.D. Dwivedi, R. Singh, Automated remote patient monitoring: Data sharing and privacy using blockchain. arXiv:1811.03417 (2018). https://arxiv.org/abs/1811.03417
S. Rahmadika, K.-H. Rhee, Blockchain technology for providing an architecture model of decentralized personal health information, Int. J. Eng. Bus. Manag. 10, Art. no. 184797901879058 (2018 January)
A.K. Talukder, M. Chaitanya, D. Arnold, K. Sakurai, Proof of disease: A blockchain consensus protocol for accurate medical decisions and reducing the disease burden, in Proceedings of the IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud Big Data Computing, Internet People Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), Oct. 2018, pp. 257–262
Z. Shae, J.J. Tsai, On the design of a blockchain platform for clinical trial and precision medicine, in Proceedings of the IEEE 37th International Conference on Distributed Computing System (ICDCS), June 2017, (2017), pp. 1972–1980
A. Al Omar, M.S. Rahman, A. Basu, S. Kiyomoto, MediBchain: A blockchain-based privacy-preserving platform for healthcare data, in Security, Privacy, and Anonymity in Computation, Communication, and Storage (Lecture Notes in Computer Science), (Springer, Cham, 2017)
T.-T. Kuo, L. Ohno-Machado, ModelChain: Decentralized privacy-preserving healthcare predictive modeling framework on private blockchain networks, arXiv:1802.01746 (2018). [Online]. Available: https://arxiv.org/abs/1802.01746
T. Heston, A case study in blockchain health care innovation. Int. J. Curr. Res. 9(11), 60587–60588 (2017)
A. Azaria, A. Ekblaw, T. Vieira, A. Lippman, MedRec: Using blockchain for medical data access and permission management, in Proceedings of the 2nd International Conference on Open Big Data (OBD), August 2016, (2016), pp. 25–30
D. Ichikawa, M. Kashiyama, T. Ueno, Tamper-resistant mobile health using blockchain technology. JMIR Mhealth Uhealth 5(7), e111 (2017 July)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Manikandan, M., Subramanian, R., Nagajothi, S., Karthik, S., Paul, A. (2021). The Desiderata of Blockchain and IoT in Medical and Pharmaceutical Enterprises. In: Choudhury, T., Khanna, A., Toe, T.T., Khurana, M., Gia Nhu, N. (eds) Blockchain Applications in IoT Ecosystem. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-65691-1_8
Download citation
DOI: https://doi.org/10.1007/978-3-030-65691-1_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-65690-4
Online ISBN: 978-3-030-65691-1
eBook Packages: EngineeringEngineering (R0)