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Neural Computing and Applications
Published in: Neural Computing and Applications 14/2022

07-01-2021 | S.I. : Healthcare Analytics

Blockchain for healthcare data management: opportunities, challenges, and future recommendations

Authors: Ibrar Yaqoob, Khaled Salah, Raja Jayaraman, Yousof Al-Hammadi

Published in: Neural Computing and Applications | Issue 14/2022

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Abstract

Today's healthcare data management systems are facing key challenges in terms of data transparency, traceability, immutability, audit, data provenance, flexible access, trust, privacy, and security. Also, a large portion of existing healthcare systems leveraged for managing data are centralized that pose potential risks of single point of failures in case of natural disasters. Blockchain is an emerging and disruptive decentralized technology that has the potential to significantly revolutionize, reshape, and transform the way data are being handled in healthcare industries. In this paper, we discuss how leveraging blockchain for healthcare data management systems can lead to stimulate innovations and bring major improvements. We present the key blockchain features and characteristics. We discuss the premier advantages of adopting blockchain technology along with opportunities for healthcare industries. We present recent on-going projects and case studies to show the practicality of blockchain technology for various healthcare applications. We identify and discuss important open research challenges hindering the successful adoption of blockchain in the healthcare sector. Finally, we outline several future research directions.
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Literature
1.
2.
Griggs KN, Ossipova O, Kohlios CP, Baccarini AN, Howson EA, Hayajneh T (2018) Healthcare blockchain system using smart contracts for secure automated remote patient monitoring. J Med Syst 42(7):130
3.
Tao H, Bhuiyan MZA, Abdalla AN, Hassan MM, Zain JM, Hayajneh T (2018) Secured data collection with hardware-based ciphers for Iot-based healthcare. IEEE Intern Things J 6(1):410–420
4.
Aazam M, Zeadally S, Harras KA (2020) Health fog for smart healthcare. IEEE Consum Electron Maga 9(2):96–102
5.
Ali F, El-Sappagh S, Islam SR, Kwak D, Ali A, Imran M, Kwak K-S (2020) A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion. Inf Fusion 63:208–222
6.
Awais M, Raza M, Ali K, Ali Z, Irfan M, Chughtai O, Khan I, Kim S, Ur Rehman M (2019) An internet of things based bed-egress alerting paradigm using wearable sensors in elderly care environment. Sensors 19(11):2498
7.
Zhu H, Wu CK, Koo CH, Tsang YT, Liu Y, Chi HR, Tsang K-F (2019) Smart healthcare in the era of internet-of-things. IEEE Consum Electron Maga 8(5):26–30
8.
Jiang L, Chen L, Giannetsos T, Luo B, Liang K, Han J (2019) Toward practical privacy-preserving processing over encrypted data in iot: An assistive healthcare use case. IEEE Intern Things J 6(6):10177–10190
9.
Ali F, El-Sappagh S, Islam SR, Ali A, Attique M, Imran M, Kwak KS (2021) An intelligent healthcare monitoring framework using wearable sensors and social networking data. Futur Gener Comput Syst 114:23–43
10.
Islam SR, Kwak D, Kabir MH, Hossain M, Kwak K-S (2015) The internet of things for health care: a comprehensive survey. IEEE Access 3:678–708
11.
Alam MGR, Abedin SF, Moon SI, Talukder A, Hong CS (2019) Healthcare iot-based affective state mining using a deep convolutional neural network. IEEE Access 7:75189–75202
12.
Shahnaz A, Qamar U, Khalid A (2019) Using blockchain for electronic health records. IEEE Access 7:147782–147795
13.
Sengupta J, Ruj S, Bit SD (2020) A comprehensive survey on attacks, security issues and blockchain solutions for iot and iiot. J Netw Comput Appl 149:102481
14.
Yue X, Wang H, Jin D, Li M, Jiang W (2016) Healthcare data gateways: found healthcare intelligence on blockchain with novel privacy risk control. J Med Syst 40(10):218
15.
Chen L, Lee W-K, Chang C-C, Choo K-KR, Zhang N (2019) Blockchain based searchable encryption for electronic health record sharing. Futur Gener Comput Syst 95:420–429
16.
McGhin T, Choo K-KR, Liu CZ, He D (2019) Blockchain in healthcare applications: research challenges and opportunities. J Netw Comput Appl 135:62–75
17.
Gordon WJ, Catalini C (2018) Blockchain technology for healthcare: facilitating the transition to patient-driven interoperability. Comput Struct Biotechnol J 16:224–230
18.
Farouk A, Alahmadi A, Ghose S, Mashatan A (2020) Blockchain platform for industrial healthcare: vision and future opportunities. Comput Commun 154:223–235
19.
20.
Islam N, Faheem Y, Din IU, Talha M, Guizani M, Khalil M (2019) A blockchain-based fog computing framework for activity recognition as an application to e-healthcare services. Futur Gener Comput Syst 100:569–578
21.
Chukwu E, Garg L (2020) A systematic review of blockchain in healthcare: frameworks, prototypes, and implementations. IEEE Access 8:21196–21214
22.
Syed TA, Alzahrani A, Jan S, Siddiqui MS, Nadeem A, Alghamdi T (2019) A comparative analysis of blockchain architecture and its applications: problems and recommendations. IEEE Access 7:176838–176869
23.
Esposito C, De Santis A, Tortora G, Chang H, Choo K-KR (2018) Blockchain: a panacea for healthcare cloud-based data security and privacy? IEEE Cloud Comput 5(1):31–37
24.
A. Al Omar, M. Z. A. Bhuiyan, A. Basu, S. Kiyomoto, and M. S. Rahman, “Privacy-friendly platform for healthcare data in cloud based on blockchain environment,” Futur Gener Comput Syst, vol. 95, pp. 511–521, 2019.
25.
Christidis K, Devetsikiotis M (2016) Blockchains and smart contracts for the internet of things. IEEE Access 4:2292–2303
26.
Hasselgren A, Kralevska K, Gligoroski D, Pedersen SA, Faxvaag A (2020) Blockchain in healthcare and health sciences—a scoping review. Int J Med Inform 134:104040
27.
Xie J, Tang H, Huang T, Yu FR, Xie R, Liu J, Liu Y (2019) A survey of blockchain technology applied to smart cities: research issues and challenges. IEEE Commun Surv Tutor 21(3):2794–2830
28.
Zheng Z, Xie S, Dai H-N, Chen W, Chen X, Weng J, Imran M (2020) An overview on smart contracts: challenges, advances and platforms. Futur Gener Comput Syst 105:475–491
29.
Gupta S, Malhotra V, Singh SN (2020) Securing iot-driven remote healthcare data through blockchain. In: Advances in data and information sciences. Lecture notes in networks and systems, vol 94. Springer, Singapore, pp 47–56
30.
Salah K, Rehman MHU, Nizamuddin N, Al-Fuqaha A (2019) Blockchain for AI: review and open research challenges. IEEE Access 7:10127–10149
31.
Ali MS, Vecchio M, Pincheira M, Dolui K, Antonelli F, Rehmani MH (2018) Applications of blockchains in the internet of things: a comprehensive survey. IEEE Commun Surv Tutor 21(2):1676–1717
32.
De Aguiar EJ, Faiçal BS, Krishnamachari B, Ueyama J (2020) A survey of blockchain-based strategies for healthcare. ACM Comput Surv (CSUR) 53(2):1–27
33.
Houtan B, Hafid AS, Makrakis D (2020) A survey on blockchain-based self-sovereign patient identity in healthcare. IEEE Access 8:90478–90494
34.
Zhang P, Schmidt DC, White J, Lenz G (2018) Blockchain technology use cases in healthcare. Adv Comput 111:1–41
35.
Khezr S, Moniruzzaman M, Yassine A, Benlamri R (2019) Blockchain technology in healthcare: a comprehensive review and directions for future research. Appl Sci 9(9):1736
36.
Hussien HM, Yasin SM, Udzir SNI, Zaidan AA, Zaidan BB (2019) A systematic review for enabling of develop a blockchain technology in healthcare application: taxonomy, substantially analysis, motivations, challenges, recommendations and future direction. J Med Syst 43(10):320
37.
Radanović I, Likić R (2018) Opportunities for use of blockchain technology in medicine. Appl Health Econ Health Policy 16(5):583–590
38.
Agbo CC, Mahmoud QH, Eklund JM (2019) Blockchain technology in healthcare: a systematic review. Healthcare 7(2):56
39.
40.
41.
42.
43.
Sigwart M, Borkowski M, Peise M, Schulte S, Tai S (2019) Blockchain-based data provenance for the internet of things. In: Proceedings of the 9th international conference on the internet of things, Bilbao, Spain, pp. 1–8
44.
45.
Wang S, Wang J, Wang X, Qiu T, Yuan Y, Ouyang L, Guo Y, Wang F-Y (2018) Blockchain-powered parallel healthcare systems based on the ACP approach. IEEE Trans Comput Soc Syst 5(4):942–950
46.
Reisman M (2017) EHRs: the challenge of making electronic data usable and interoperable. Pharm Ther 42(9):572
47.
Khan WA, Khattak AM, Hussain M, Amin MB, Afzal M, Nugent C, Lee S (2014) An adaptive semantic based mediation system for data interoperability among health information systems. J Med Syst 38(8):28
48.
Dagher GG, Mohler J, Milojkovic M, Marella PB (2018) Ancile: privacy-preserving framework for access control and interoperability of electronic health records using blockchain technology. Sustain Cities Soc 39:283–297
49.
Khan FA, Asif M, Ahmad A, Alharbi M, Aljuaid H (2020) Blockchain technology, improvement suggestions, security challenges on smart grid and its application in healthcare for sustainable development. Sustain Cities Soc 55:102018
50.
Vazirani AA, O’Donoghue O, Brindley D, Meinert E (2020) Blockchain vehicles for efficient medical record management. NPJ Digit Med 3(1):1–5
51.
52.
Kumar T, Ramani V, Ahmad I, Braeken A, Harjula E, Ylianttila M (2018) Blockchain utilization in healthcare: key requirements and challenges. In: 20th international conference on e-health networking, applications and services (Healthcom). IEEE, Ostrava, Czech Republic, pp 1–7
53.
Xia Q, Sifah EB, Asamoah KO, Gao J, Du X, Guizani M (2017) Medshare: Trust-less medical data sharing among cloud service providers via blockchain. IEEE Access 5:14757–14767
54.
Tendulkar S, Rodrigues A, Patel K, Dalvi H (2020) System to fight counterfeit drugs. In: Advanced computing technologies and applications. Algorithms for intelligent systems. Springer, Singapore, pp 465–470
55.
56.
57.
Sahoo M, Singhar SS, Sahoo SS (2020) A blockchain based model to eliminate drug counterfeiting. In: Machine learning and information processing. Springer, pp 213–222
58.
Kumar R, Tripathi R (2019) Traceability of counterfeit medicine supply chain through blockchain. In: 11th international conference on communication systems and networks (COMSNETS). IEEE, Bengaluru, India, 568–570
59.
60.
Tanwar S, Parekh K, Evans R (2020) Blockchain-based electronic healthcare record system for healthcare 4.0 applications. J Inf Secur Appl 50:102407
61.
Pandey P, Litoriya R (2020) Implementing healthcare services on a large scale: challenges and remedies based on blockchain technology. Health Policy Technol 9:69–78
62.
Omar I, Jayaraman R, Salah K, Simsekler M (2019) Exploiting ethereum smart contracts for clinical trial management. In: 2019 ACS 16th international conference on computer systems and applications (AICCSA). IEEE, Abu Dhabi, United Arab Emirates, pp 1–6
63.
64.
65.
66.
67.
68.
69.
70.
71.
72.
73.
74.
75.
Mazlan AA, Daud SM, Sam SM, Abas H, Rasid SZA, Yusof MF (2020) Scalability challenges in healthcare blockchain system—a systematic review. IEEE Access 8:23663–23673
76.
77.
78.
79.
80.
81.
82.
Metadata
Title
Blockchain for healthcare data management: opportunities, challenges, and future recommendations
Authors
Ibrar Yaqoob
Khaled Salah
Raja Jayaraman
Yousof Al-Hammadi
Publication date
07-01-2021
Publisher
Springer London
Published in
Neural Computing and Applications / Issue 14/2022
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-020-05519-w

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