AccScience Publishing / AIH / Online First / DOI: 10.36922/aih.2580
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Enhancing health-care security: The role of blockchain and consensus mechanisms

Asmaul Hosna1 Nujhat Tabassum Rahman1 Supriya Dewanjee1 Zulfikar Alom1 Elmustafa Sayed Ali Ahmed2,3* Mohammad Abdul Azim1 Rashid A. Saeed4
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1 Department of Computer Science, Asian University for Women, Chattogram, Bangladesh
2 Department of Electrical and Electronic Engineering, Faculty of Engineering, Red Sea University, Port Sudan, Sudan
3 Department of Electronics Engineering, Faculty of Engineering University of Science and Technology, Khartoum, Sudan
4 Department of Computer Engineering, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia
AIH 2024, 1(2), 29–47; https://doi.org/10.36922/aih.2580
Submitted: 29 December 2023 | Accepted: 26 February 2024 | Published: 16 April 2024
© 2024 by the Author (s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

Blockchain technology has gained prominence recently by virtue of its strong security features for clinical data. Automation of blockchain transactions enables data transactions and records, providing decentralized, secure, and dependable access. Through intelligence-sharing agreements, it can also manage member relationships without the need for a middleman or other third party. Researchers in the health-care industry using blockchain algorithms to safeguard security of data, which is properly stored, are on the rise. In addition, this technology is patient adaptive. Patients and other health-care users can now trust the technology because it prevents any third party from accessing the medical data. Many platforms intended for use in the health-care domain are emerging, including Gem Health Network and MedRec. Using blockchain in health-care protects user data and grants them full authority over their data. However, blockchain technology is also confronting challenges and limitations regarding data privacy and storage capacity. This paper explores the implementation of blockchain within health-care sector while providing an overview of this technology and the different consensus algorithms used in blockchain technology.

Keywords
Blockchain
Health-care security
Electronic health records
COVID-19 pandemic
Genetic algorithm
Consensus mechanisms
Conflict of interest
None.
References
  1. Ahmad RW, Salah K, Jayaraman R, Yaqoob I, Ellahham S, Omar M. Blockchain and COVID-19 pandemic: Applications and challenges. Cluster Comput. 2023;26:2383-2408. doi: 10.1007/s10586-023-04009-7

 

  1. Ratwani R. Electronic health records and improved patient care: Opportunities for applied psychology. Curr Dir Psychol Sci. 2017;26(4):359-365. doi: 10.1177/0963721417700691

 

  1. Al Mamun A, Jahangir MUF, Azam S, Kaiser MS, Karim A. A Combined Framework of Interplanetary File System and Blockchain to Securely Manage Electronic Medical Records. In: Proceedings of International Conference on Trends in Computational and Cognitive Engineering; 2021. doi: 10.1007/978-981-33-4673-4_40

 

  1. Alqaralleh BA, Vaiyapuri T, Parvathy VS, Gupta D, Khanna A, Shankar K. Blockchain-assisted secure image transmission and diagnosis model on Internet of Medical Things Environment. Pers Ubiquitous Comput. 2024;28:17-27. doi: 10.1007/s00779-021-01543-2

 

  1. Attaran M. Blockchain technology in healthcare: Challenges and opportunities. Int J Healthc Manage. 2022;15(1):70-83. doi: 10.1080/20479700.2020.1843887

 

  1. Abernethy A, Adams L, Barrett M, et al. The promise of digital health: Then, now, and the future. NAM Perspect. 2022;2022:1-24. doi: 10.31478/202206e

 

  1. Brunese L, Mercaldo F, Reginelli A, Santone A. A blockchain based proposal for protecting healthcare systems through formal methods. Procedia Comput Sci. 2019;159:1787-1794. doi: 10.1016/j.procs.2019.09.350

 

  1. Brunese L, Mercaldo F, Reginelli A, Santone A. Lung Cancer Detection and Characterisation through Genomic and Radiomic Biomarkers. In: 2020 International Joint Conference on Neural Networks (IJCNN); 2020. doi: 10.1109/IJCNN48605.2020.9206797

 

  1. Ozair FF, Jamshed N, Sharma A, Aggarwal P. Ethical issues in electronic health records: A general overview. Perspect Clin Res. 2015;6:73-76. doi: 10.4103/2229-3485.153997

 

  1. Dagher GG, Mohler J, Milojkovic M, Marella PB. Ancile: Privacy-preserving framework for access control and interoperability of electronic health records using blockchain technology. Sustain Cities Soc. 2018;39:283-297. doi: 10.1016/j.scs.2018.02.014

 

  1. Dattani J, Sheth H. Overview of blockchain technology. Asian J Converg Technol. 2019;5(1):1-3.

 

  1. Dubovitskaya A, Novotny P, Thiebes S, et al. Intelligent health care data management using blockchain: Current limitation and future research agenda. In: Heterogeneous Data Management, Polystores, and Analytics for Healthcare. Berlin: Springer; 2019. doi: 10.1007/978-3-030-33752-0_20

 

  1. Dubovitskaya A, Xu Z, Ryu S, Schumacher M, Wang F. Secure and trustable electronic medical records sharing using blockchain. In: AMIA Annual Symposium Proceedings. Vol. 2017. Bethesda: American Medical Informatics Association; 2017. p. 650.

 

  1. Mettler M. Blockchain Technology in Healthcare: The Revolution Starts Here. In: 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom); 2016. p. 1-3. doi: 10.1109/HealthCom.2016.7749510

 

  1. Krishnamurthi R, Shree T. A brief analysis of blockchain algorithms and its challenges. In: Information Resources Management Association, editor. Research Anthology on Blockchain Technology in Business, Healthcare, Education, and Government. Hershey, PA: IGI Global; 2021. p. 23-39. doi: 10.4018/978-1-7998-5351-0.ch002

 

  1. Dwivedi AD, Srivastava G, Dhar S, Singh R. A decentralized privacy-preserving healthcare blockchain for iot. Sensors (Basel). 2019;19(2):326. doi: 10.3390/s19020326

 

  1. Yazdinejad A, Srivastava G, Parizi RM, Dehghantanha A, Choo KKR, Aledhari M. Decentralized authentication of distributed patients in hospital networks using blockchain. IEEE J Biomed Health Inform. 2020;24(8):2146-2156. doi: 10.1109/JBHI.2020.2969648

 

  1. Sharma R, Wazid M, Gope P. A blockchain based secure communication framework for community interaction. J Inf Secur Appl. 2021;58:102790. doi: 10.1016/j.jisa.2021.102790

 

  1. Saranya R, Murugan A. A systematic review of enabling blockchain in healthcare system: Analysis, current status, challenges and future direction. Mater Today Proc. 2021;80:3010-3015. doi: 10.1016/j.matpr.2021.07.105

 

  1. Nguyen DC, Ding M, Pathirana PN, Seneviratne A. Blockchain and AI-based solutions to combat coronavirus (COVID-19)-like epidemics: A survey. IEEE Access. 2021;9:95730-95753. doi: 10.1109/ACCESS.2021.3093633

 

  1. Sharma A, Bahl S, Bagha AK, Javaid M, Shukla DK, Haleem A. Blockchain technology and its applications to combat COVID- 19 pandemic. Res Biomed Eng. 2020;38:173-180. doi: 10.1007/s42600-020-00106-3

 

  1. Ekblaw A, Azaria A, Halamka JD, Lippman A. A Case Study for Blockchain in Healthcare: “MedRec” Prototype for Electronic Health Recordss and Medical Research Data. In: Proceedings of IEEE Open and Big Data Conference; 2016.

 

  1. Ezzine I, Benhlima L. Technology against COVID-19 A Blockchain-based Framework for Data Quality. In: 6th IEEE Congress on Information Science and Technology (CiSt); 2020. p. 84-89. doi: 10.1109/CiSt49399.2021.9357200

 

  1. Farouk A, Alahmadi A, Ghose S, Mashatan A. Blockchain platform for industrial healthcare: Vision and future opportunities. Comput Commun. 2020l;154:223-235. doi: 10.1016/j.comcom.2020.02.058

 

  1. Gourisetti SNG, Mylrea M, Patangia H. Evaluation and demonstration of blockchain applicability framework. IEEE Trans Eng Manag. 2019;67(4):1142-1156. doi: 10.1109/TEM.2019.2928280

 

  1. Gupta R, Kumari A, Tanwar S. Fusion of blockchain and artificial intelligence for secure drone networking underlying 5G communications. Trans Emerg Telecomm Technol. 2021;32(1): 1-20. doi: 10.1002/ett.4176

 

  1. 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. doi: 10.1016/j.cogsys.2018.05.004

 

  1. Ivan D. Moving toward a blockchain-based method for the secure storage of patient records. In: ONC/NIST Use of Blockchain for Healthcare and Research Workshop. Gaithersburg, Maryland, United States: ONC/NIST; 2016.

 

  1. Jayaram R, Prabakaran S. Onboard disease prediction and rehabilitation monitoring on secure edge-cloud integrated privacy preserving healthcare system. Egypt Inform J. 2020;22:401-410. doi: 10.1016/j.eij.2020.12.003

 

  1. Jia Q. Research on medical system based on blockchain technology. Medicine (Baltimore). 2021;100(16):e25625. doi: 10.1097/MD.0000000000025625

 

  1. Khan FA, Asif M, Ahmad A, Alharbi M, Aljuaid H. Blockchain technology, improvement suggestions, security challenges on smart grid and its application in healthcare for sustainable development. Sustain Cities Soc. 2020;55:102018. doi: 10.1016/j.scs.2020.102018

 

  1. Khezr S, Moniruzzaman M, Yassine A, Benlamri R. Blockchain technology in healthcare: A comprehensive review and directions for future research. Appl Sci. 2019;9(9):1736. doi: 10.3390/app9091736

 

  1. Kim D, Doh I, Chae K. Improved Raft Algorithm Exploiting Federated Learning for Private Blockchain Performance Enhancement. In: 2021 International Conference on Information Networking (ICOIN); 2021. doi: 10.1109/ICOIN50884.2021.9333932

 

  1. Kumar A, Kumar Sharma D, Nayyar A, Singh S, Yoon B. Lightweight proof of game (LPoG): A proof of work (pow)’s extended lightweight consensus algorithm for wearable kidneys. Sensors (Basel). 2020;20(10):2868. doi: 10.3390/s20102868

 

  1. Kumar R, Wang W, Kumar J, et al. An integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals. Comput Med Imaging Graph. 2020;87:101812. doi: 10.1016/j.compmedimag.2020.101812

 

  1. Leeming G, Cunningham J, Ainsworth J. A ledger of me: Personalizing healthcare using blockchain technology. Front Med (Lausanne). 2019;6:171. doi: 10.3389/fmed.2019.00171

 

  1. Lemieux VL. Blockchain recordkeeping: A swot analysis. Inf Manag. 2017;51(6):20-27.

 

  1. Li X, Jiang P, Chen T, Luo X, Wen Q. A survey on the security of blockchain systems. Future Gener Comput Syst. 2020;107:841-853. doi: 10.1016/j.future.2017.08.020

 

  1. Liu H, Crespo RG, Martínez OS. Enhancing privacy and data security across healthcare applications using blockchain and distributed ledger concepts. Healthcare (Basel). 2020;8:243. doi: 10.3390/healthcare8030243

 

  1. Liu W, Li Y, Wang X, Peng Y, She W, Tian Z. A donation tracing blockchain model using improved DPoS consensus algorithm. Peer-to-Peer Netw Appl. 2021;14:2789-2800. doi: 10.1007/s12083-021-01102-9

 

  1. Lo SK, Xu X, Chiam YK, Lu Q. Evaluating Suitability of Applying Blockchain. In: 2017 22nd International Conference on Engineering of Complex Computer Systems (ICECCS); 2017. p. 158-161. doi: 10.1109/ICECCS.2017.26

 

  1. Mackey TK, Kuo TT, Gummadi B, et al. ‘Fit-for-purpose? Challenges and opportunities for applications of blockchain technology in the future of healthcare. BMC Med. 2019;17(1):68. doi: 10.1186/s12916-019-1296-7

 

  1. Nakagawa T, Hayashibara N. Energy efficient raft consensus algorithm. In International Conference on Network-Based Information Systems. Cham: Springer; 2017. doi: 10.1007/978-3-319-65521-5_64

 

  1. Shen M, Zhu L, Xu K. Blockchain: Empowering Secure Data Sharing. Singapore: Springer; 2020. doi: 10.1007/978-981-15-5939-6

 

  1. Quiané-Ruiz JA, Pinkel C, Schad J, Dittrich J. RAFTing MapReduce: Fast Recovery on the RAFT. In: 2011 IEEE 27th International Conference on Data Engineering; 2011. doi: 10.1109/ICDE.2011.5767877

 

  1. Rahmadika S, Rhee KH. Blockchain technology for providing an architecture model of decentralized personal health information. Int J Eng Bus Manage. 2018;10:1-12. doi: 10.1177/1847979018790589

 

  1. Wang K, Dong J, Wang Y, Yin H. Securing data with blockchain and AI. IEEE Access. 2019;7:77981-77989. doi: 10.1109/ACCESS.2019.2921555

 

  1. Rajput DS, Sharma S, Tiwari SK, Upadhyay A, Mishra A. Medical data security using blockchain and machine learning in cloud computing. In: Mathematical Modeling and Soft Computing in Epidemiology. Boca Raton: CRC Press; 2020. doi: 10.1201/9781003038399-18

 

  1. Tanwar S, Parekh K, Evans R. Blockchain-based electronic healthcare record system for healthcare 4.0 applications. J Inf Secur Appl. 2020;50:102407. doi: 10.1016/j.jisa.2019.102407

 

  1. Rupa C, Midhunchakkaravarthy D. Preserve Security to Medical Evidences Using Blockchain Technology. In: 2020 4th International Conference on Intelligent Computing and Control Systems (ICICCS). Madurai, India: IEEE; 2020. doi: 10.1109/ICICCS48265.2020.9120948

 

  1. Ahir S, Telavane D, Thomas R. The Impact of Artificial Intelligence, Blockchain, Big Data and Evolving Technologies in Coronavirus Disease-2019 (COVID-19) Curtailment. In: 2020 International Conference on Smart Electronics and Communication (ICOSEC). Trichy, India: IEEE; 2020. p. 113-120. doi: 10.1109/ICOSEC49089.2020.9215294

 

  1. Salah K, Rehman MHU, Nizamuddin N, Al-Fuqaha A. Blockchain for AI: Review and open research challenges. IEEE Access. 2019;7:10127-10149. doi: 10.1109/ACCESS.2018.2890507

 

  1. Sethy PK, Behera SK, Ratha PK, Biswas P. Detection of Coronavirus Disease (COVID-19) Based on Deep Features and Support Vector Machine. Preprints, electrical and electronic engineering, v(2), 2020, pp. 1-10.

 

  1. Reegu FA, Abas H, Gulzar Y, et al. Blockchain-based framework for interoperable electronic health records for an improved healthcare system. Sustainability. 2023;15(8):6337. doi: 10.3390/su15086337

 

  1. Chinnasamy P, Albakri A, Khan M, Raja AA, Kiran A, Babu JC. Smart contract-enabled secure sharing of health data for a mobile cloud-based e-health system. Appl Sci. 2023;13(6):3970. doi: 10.3390/app13063970

 

  1. Singh M, Singh A, Kim S. Blockchain: A Game Changer for Securing IoT Data. In 2018 IEEE 4th World Forum on Internet of Things (WF-IoT). Singapore: IEEE; 2018. doi: 10.1109/WF-IoT.2018.8355182

 

  1. Singh SK, Rathore S, Park JH. Blockio intelligence: A blockchain-enabled intelligent IoT architecture with artificial intelligence. Future Gener Comput Syst. 2020;110:721-743. doi: 10.1016/j.future.2019.09.002

 

  1. Siyal AA, Junejo AZ, Zawish M, Ahmed K, Khalil A, Soursou G. Applications of blockchain technology in medicine and healthcare: Challenges and future perspectives. Cryptography. 2019;3(1):3. doi: 10.3390/cryptography3010003

 

  1. Roehrs A, da Costa CA, da Rosa Righi R, da Silva VF, Goldim JR, Schmidt DC. Analyzing the performance of a blockchain-based personal health record implementation. J Biomed Inform. 2019;92:103140. doi: 10.1016/j.jbi.2019.103140

 

  1. Zhang P, Schmidt DC, White J, Lenz G. Blockchain technology use cases in healthcare. In: Advances in Computers. Vol. 111. Amsterdam: Elsevier; 2018. p. 1-41. doi: 10.1016/bs.adcom.2018.03.006

 

  1. Zhang R, Xue R, Liu L. Security and privacy on blockchain. ACM Comput Surv. 2019;52(3):1-34. doi: 10.1145/3316481

 

  1. Chinnasamy P, Vinothini C, Arun Kumar S, Allwyn Sundarraj A, Annlin Jeba SV, Praveena V. Blockchain technology in smart-cities. In: Panda SK, Jena AK, Swain SK, Satapathy SC, editors. Blockchain Technology: Applications and Challenges. Intelligent Systems Reference Library. Vol. 203. Cham: Springer; 2021. doi: 10.1007/978-3-030-69395-4_11

 

  1. Zubaydi HD, Chong YW, Ko K, Hanshi SM, Karuppayah S. A review on the role of blockchain technology in the healthcare domain. Electronics. 2019;8(6):679. doi: 10.3390/electronics8060679

 

  1. Zamri N, Mohamad Z, Nik WN, Mohamad AHZ. Smart secure telerehabilitation apps for personalized autism home intervention using blockchain system. In: Blockchain for 5G-Enabled IoT. Cham: Springer; 2021. p. 377-398. doi: 10.1007/978-3-030-67490-8_15

 

  1. Wang F. Building High-performance Distributed Systems with Synchronized Clocks. Stanford, CA: Stanford University; 2019.
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Artificial Intelligence in Health, Electronic ISSN: 3029-2387 Print ISSN: 3041-0894, Published by AccScience Publishing