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Arabian Journal for Science and Engineering
Erschienen in: Arabian Journal for Science and Engineering 4/2021

14.10.2020 | Review-Computer Engineering and Computer Science

Applications of Blockchain Technology in Clinical Trials: Review and Open Challenges

verfasst von: Ilhaam A. Omar, Raja Jayaraman, Khaled Salah, Ibrar Yaqoob, Samer Ellahham

Erschienen in: Arabian Journal for Science and Engineering | Ausgabe 4/2021

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Abstract

Blockchain technology has disclosed unprecedented opportunities in the healthcare sector by unlocking the true value of interoperability. Specifically, the striking features of blockchain technology, such as data provenance, transparency, decentralized transaction validation, and immutability, can help to compensate for stringent data management issues (e.g., patient recruitment, persistent monitoring, data management, and data analytics and accurate reporting) in clinical trials (CTs). Although several research studies show that blockchain solutions help to improve patient retention, data integrity, privacy and ensure CTs compliance with regulatory policies, a comprehensive survey on this topic is lacking. In this survey, we provide insights into the adoption of blockchain technology in CTs. We categorize and classify the literature by devising a meticulous taxonomy of the decentralized tasks of CT and practices based on indispensable parameters. Furthermore, we provide insights on works in progress toward deploying blockchain solutions in CTs. Finally, we identify and discuss several challenges that hinder the successful implementation of blockchain technologies in CTs.
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Fußnoten
1
Accessed on: 25 February 2020, https://​medium.​com/​@niels.​klomp/​the-worlds-first-clinical-trial-in production-on-the-blockchain-has-just-been-announced-by-the-e05b73557dd0.
 
Literatur
1.
Underwood, S.: Blockchain beyond technology. Commun. ACM 59(11), 15–17 (2016)CrossRef
2.
Bera, B.; Saha, S.; Das, A.K.; Kumar, N.; Lorenz, P.; Alazab, M.: Blockchain-envisioned secure data delivery and collection scheme for 5G-based IoT-enabled internet of drones environment. IEEE Trans. Veh. Technol. 69(8), 9097–9111 (2020)CrossRef
3.
4.
5.
6.
7.
8.
Mettler, M.: Blockchain technology in healthcare: the revolution starts here. In: IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom), 2016.
9.
Shae, Z.; Tsai, J.: On the design of a blockchain platform for clinical. In: IEEE 37th International Conference on Distributed Computing Systems, 2017.
10.
Anand, V.; Scales, D.; Parshuram, C.; et al.: Registration and design alterations of clinical trials in critical care: a cross-sectional. Intensive Care Med. 40(5), 700–722 (2014)CrossRef
11.
12.
13.
14.
Hasan, H.; Salah, K.: Blockchain-based solution for proof of delivery of physical assets. In: Proceedings of the 2018 International Conference on Blockchain (ICBC 2018), Springer LNCS, Seattle, USA.
15.
Garay, J.; Kiayias, A.; Leonardos, N.: The Bitcoin Backbone Protocol: Analysis and Applications, pp. 281–310. Springer, Berlin (2015)MATH
16.
17.
Lin, I.-C.; Liao, T.-C.: A survey of blockchain security issues and challenges. Int. J. Netw. Secur. 19(5), 653–659 (2017)
18.
Glover, D.G.; Hermans, J.: Improving the traceability of the clinical trial supply chain. Appl Clin. Trials 5, 36–38 (2017)
19.
Kiktenko, E.; Pozhar, N.; Anufriev, M.; Trushechkin, A.; Yunusov, R.; Kurochkin, Y.; Lvovsky, A.; Fedorov, A.: Quantum-secured blockchain. Quant. Sci. Technol. 3(3), 1–6 (2018)
20.
Zheng, Z.; Xie, S.; Dai, H.-N.; Chen, X.; Wang, H.: Blockchain challenges and opportunities: a survey. Int. J. Web Grid Serv. 14(4), 352–375 (2018)CrossRef
21.
Kosba, A.; Miller, A.; Shi, E.; Wen, Z.; Papamanthou, C.: Hawk: the blockchain model of cryptography and privacy-preserving smart contracts. In: IEEE Symposium on Security and Privacy (SP’16), pp. 839–858, 2016.
22.
Watanabe, H.; Fujimura, S.; Nakadaira, A.; Miyazaki, Y.; Akutsu, A.; Kishigami, J.: Blockchain contract: Securing a blockchain applied to smart contracts. In: IEEE International Conference on Consumer Electronics (ICCE’16), 2016.
23.
24.
25.
Hartman, J.H.; Murdock, I.; Spalink, T.: The Swarm scalable storage system. In: 19th IEEE International Conference on Distributed Computing Systems, USA, 1999.
26.
27.
28.
Borioli, G.S.; Couturier, J.: How blockchain technology can improve the outcomes of clinical trials. Br. J. Healthcare Manag. 24(3), 156–162 (2018)CrossRef
29.
Benchoufi, M.; Ravaud, P.: Blockchain technology for improving clinical research quality. BioMed Central 18, 1–5 (2017)
30.
Petersen, S.; Hediger, T.: The Blockchain (R)evolution—How Blockchain technology can revolutionise the Life Sciences and Healthcare industry, Deloitte, 2017.
31.
32.
Zhuang, Y.; Sheets, L.R.; Shae, Z.; Chen, Y.-W.; Tsai, J.J.P.; Shyu, C.-R.: Applying blockchain technology to enhance clinical trial recruitment. In: AMIA Annual Symposium Proceedings, 2020.
33.
34.
Wong, D.; Bhattacharya, S.; Butte, A.: Prototype of running clinical trials in an untrustworthy environment using blockchain. Nat. Commun. 10, 9555 (2019)
35.
Schueler, P.; Buckley, B.: Re-Engineering Clinical Trials-Best Practices for Streamlining the Development Process. Academic Press, New York (2014)
36.
Jadhav, S.: Blockchain: the next big disruptor in clinical trials? Pharm. Eng. 38(4), 25 (2018)
37.
Omar, I.; Jayaraman, R.; Salah, K.; et al.: Ensuring protocol compliance and data transparency in clinical trials using Blockchain smart contracts. BMC Med. Res. Methodol. 20, 637 (2020)CrossRef
38.
39.
Irving, G.; Holden, J.: How blockchain-timestamped protocols could improve the trustworthiness of medical science. F1000research.
40.
Ramachandran, A.; Kantarcioglu, M.: Using Blockchain and smart contracts for secure data provenance management. arXiv:​1709.​10000v1 [cs.CR], 2017.
41.
Jiang, S.; Cao, J.; Wu, H.; Yang, Y.; Ma, M.; He, J.: BlocHIE: a BLOCkchain-based platform for Healthcare Information Exchange. In: IEEE International Conference on Smart Computing, 2018.
42.
Zhang, P.; White, J.; Schmidt, D.C.; Lenz, G.; Rosenbloom, S.T.: FHIRChain: applying blockchain to securely and scalably share clinical data. Comput. Struct. Biotechnol. J. 16, 267–278 (2018)CrossRef
43.
Choudhury, O.; Fairoza, N.; Sylla, I.; Das, A.: A blockchain framework for managing and monitoring data in multi-site clinical trials. arXiv:​1902.​03975 [cs.DB], pp. 1–13, 2019.
44.
Zhuang, Y.; Sheets, L.; Shae, Z.; Tsai, J.J.P.; Shyu, C.-R.: Applying blockchain technology for health information exchange and persistent monitoring for clinical trials. In: AMIA Annual Symposium Proceedings Archive, 2018.
45.
Maslove, D.M.; Klein, J.; Brohman, K.; Martin, P.: Using blockchain technology to manage clinical trials data: a proof-of-concept study. In: JMIR Medical Informatics, 2018.
46.
DiMasi, J.A.; Grabowski, H.G.; Hansen, R.W.: Innovation in the pharmaceutical industry: new estimates of r&d cost. J. Health Econ. 47, 20–33 (2016)CrossRef
47.
Angeletti, F.; Chatzigiannakis, I.; Vitaletti, A.: Privacy preserving data management in recruiting participants for digital clinical trials. HumanSys’ 17, 7–12 (2017)CrossRef
48.
Gross, C.P.; Mallory, R.; Heiat, A.; Krumholz, H.M.: Reporting the recruitment process in clinical trials: who are these patients and how did they get there? Ann. Intern. Med. 137, 10–16 (2002)CrossRef
49.
Moken, M.C.: Fake pharmaceuticals: how they and relevant legislation or lack thereof contribute to consistently high and increasing drug prices. Am. JL Med. 29, 525 (2003)
50.
Angeletti, F.; Chatzigiannakis, I.; Vitaletti, A.: The role of blockchain and IoT in recruiting participants for digital clinical trials. In: 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM), 2017.
51.
Bradbury, D.: The problem with Bitcoin. Comput. Fraud Secur. 3, 5–8 (2013)CrossRef
52.
Gazali, S.K.; Singh, I.: Artificial intelligence based clinical data management systems: a review. Inf. Med. Unlocked 9, 219–229 (2017)CrossRef
53.
Kuo, T.-T.; Kim, H.-E.; Ohno-Machado, L.: Blockchain distributed ledger technologies for biomedical and health care applications. J. Am. Med. Inform. Assoc. 24(6), 1211–1220 (2017)CrossRef
54.
55.
56.
57.
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. 40, 1–8 (2016)CrossRef
58.
Safavi, K.; Kalis, B.: Digital health tech vision 2018, Accenture, 2018.
59.
Krawiec, R.; Housman, D.; Whit, M.; Filipova M. et. al.: Blockchain: Opportunities for Health Care, Deloitte, pp. 1–3, 2016.
60.
Angraal, S.; Krumholz, H.M.; Schulz, W.L.: Blockchain technology applications in health care. In: Circulation: Cardiovascular Quality and Outcomes-American Heart Association, pp. 1–3, 2017.
61.
62.
xxxx T.K. et al.: A privacy preserving distributed ledger framework for global human resource record management: the blockchain aspect. IEEE Access 8, 96455–96467 (2020).
63.
Zheng, Z.; Xie, S.; Dai, H.; Chen, X.; Wang, H.: An overview of blockchain technology: architecture, consensus, and future trends. In: IEEE 6th International Congress on Big Data, 2017.
64.
65.
Nugent, T.; Upton, D.; Cimpoesu, M.: Improving data transparency in clinical trials using blockchain smart contracts. F1000Research 5, 1–4 (2017)
66.
67.
Dinh, T.T.A.; Liu, R.; Zhang, M.; Chen, G.; Ooi, B.C.; Wang, J.: Untangling blockchain: a data processing view of blockchain systems. In: IEEE Transactions on Knowledge and Data Engineering, pp. 2–7, 2017.
68.
Castro, M.; Liskov, B.: Practical byzantine fault tolerance. In: Proceedings of the Third Symposium on Operating Systems Design and Implementation, New Orleans, 1999.
69.
Maleh, Y.; Shojafar, M.; Alazab, M.; Romdhani, I.: Blockchain for Cybersecurity and Privacy. CRC Press, Boca Raton (2020)CrossRef
70.
Tang, A.M.; Jian, M.: Deep Learning Applications for Cyber Security. Springer, Berlin (2019)
71.
Mellado, D.; Mellado, D.; Snchez, L.E.; Fernndez-Medina, E.; Piattini, M.: IT Security Governance Innovations: Theory and Research. IGI Global, New York (2012)
72.
Alazab, M.: Profiling and classifying the behavior of malicious codes. J. Syst. Softw. 100, 91–102 (2015)CrossRef
Metadaten
Titel
Applications of Blockchain Technology in Clinical Trials: Review and Open Challenges
verfasst von
Ilhaam A. Omar
Raja Jayaraman
Khaled Salah
Ibrar Yaqoob
Samer Ellahham
Publikationsdatum
14.10.2020
Verlag
Springer Berlin Heidelberg
Erschienen in
Arabian Journal for Science and Engineering / Ausgabe 4/2021
Print ISSN: 2193-567X
Elektronische ISSN: 2191-4281
DOI
https://doi.org/10.1007/s13369-020-04989-3

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