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A Proposed Solution and Future Direction for Blockchain-Based Heterogeneous Medicare Data in Cloud Environment
Open accessAbstract
The healthcare data is an important asset and rich source of healthcare intellect. Medical databases, if created properly, will be large, complex, heterogeneous and time varying. The main challenge nowadays is to store and process this data efficiently so that it can benefit humans. Heterogeneity in the healthcare sector in the form of medical data is also considered to be one of the biggest challenges for researchers. Sometimes, this data is referred to as large-scale data or big data. Blockchain technology and the Cloud environment have proved their usability separately. Though these two technologies can be combined to enhance the exciting applications in healthcare industry. Blockchain is a highly secure and decentralized networking platform of multiple computers called nodes. It is changing the way medical information is being stored and shared. It makes the work easier, keeps an eye on the security and accuracy of the data and also reduces the cost of maintenance. A Blockchain-based platform is proposed that can be used for storing and managing electronic medical records in a Cloud environment.
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“The results of the review indicate that research in the domain of blockchain in healthcare has been largely directed at promoting the development of concepts that assist scholars in deriving multidomain (Kaur et al., 2018) and feasible applications for blockchain in healthcare.”
From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Kaur et al., 2018
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“The scalability and performance efficiency of a framework may also be affected by issues such as requirements for continual upgrades by the utilized system (Kaur et al., 2018), the computational load of sensor data (Zhang et al., 2016), keyword set size (A. Zhang & Lin, 2018), the amount of disk space, and the network set-up required by the type of blockchain, e.g.Ethereum, used in the model (Qua”
From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Kaur et al., 2018
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“The limitation of the work is that comparisons have not been made between smart contract-based schemes and traditional schemes, and the model was not implemented to analyze performances.”
From A survey on the adoption of blockchain in IoT: challenges and solutions (2021) · cites this paper as [89]
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Citations
Cites
Big data analytics in healthcare: promise and potential
Raghupathi, W., & Raghupathi, V. (2014) · Health Information Science and Systems · doi:10.1186/2047-2501-2-3 · Cited by 3,034
The rise of big data on cloud computing: Review and open research issues
Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Ullah Khan, S. (2015) · Information Systems · doi:10.1016/j.is.2014.07.006 · Cited by 2,656
MedRec: Using Blockchain for Medical Data Access and Permission Management
Azaria, A., Ekblaw, A., Vieira, T., & Lippman, A. (2016) · 2016 2nd International Conference on Open and Big Data (OBD) · doi:10.1109/obd.2016.11 · Cited by 2,526
The KDD process for extracting useful knowledge from volumes of data
Fayyad, U., Piatetsky-Shapiro, G., & Smyth, P. (1996) · Communications of the ACM · doi:10.1145/240455.240464 · Cited by 1,934
Blockchain: A Panacea for Healthcare Cloud-Based Data Security and Privacy?
Esposito, C., Santis, A. D., Tortora, G., Chang, H., & Choo, K. R. (2018) · IEEE Cloud Computing · doi:10.1109/mcc.2018.011791712 · Cited by 857
Liang, X., Shetty, S. S., Tosh, D. K., Kamhoua, C., Kwiat, K., & Njilla, L. (2017) · IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) · doi:10.1109/ccgrid.2017.8 · Cited by 745
Bell, G., Hey, T., & Szalay, A. (2009) · Science · doi:10.1126/science.1170411 · Cited by 537
Enigma: Decentralized Computation Platform with Guaranteed Privacy
Zyskind, G., & Pentland, A. (2018) · The MIT Press eBooks · doi:10.7551/mitpress/11636.003.0018 · Cited by 467
‘Big data’, Hadoop and cloud computing in genomics
O’Driscoll, A., Daugelaite, J., & Sleator, R. D. (2013) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2013.07.001 · Cited by 448
Blockchain Technology: Applications in Health Care
Angraal, S., Krumholz, H. M., & Schulz, W. L. (2017) · Circulation Cardiovascular Quality and Outcomes · doi:10.1161/circoutcomes.117.003800 · Cited by 430
Research works printed but not linked: 3
- Eyal, I., and Emin, G. S., Majority is not enough: Bitcoin mining is vulnerable. In proceedings of the international conference on financial cryptography and data security, Christ Church, Barbados. Berlin: Springer, 2014.
- Padhy, R. P., Patra, M. R., and Satapathy, S. C., Design and implementation of a cloud based rural healthcare information system model. Univ. J. Appl. Comput. Sci. Technol. 2(1):149–157, 2012.
- Kaur, H., Chauhan, R., and Alam, M., Spatial clustering algorithm using R-tree. J. Comput. 3(2):85–90, 2011.
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Agbo, C. C., Mahmoud, Q. H., & Eklund, J. M. (2019) · Healthcare · doi:10.3390/healthcare7020056 · Cited by 1,131
A Survey on Blockchain Interoperability: Past, Present, and Future Trends
Belchior, R., Vasconcelos, A., Guerreiro, S. L. P. D., & Correia, M. P. (2021) · ACM Computing Surveys · doi:10.1145/3471140 · Cited by 807
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Bodkhe, U., Tanwar, S., Parekh, K., Khanpara, P., Tyagi, S., Kumar, N., & Alazab, M. (2020) · IEEE Access · doi:10.1109/access.2020.2988579 · Cited by 766
Blockchain Technology in Healthcare: A Comprehensive Review and Directions for Future Research
Khezr, S., Moniruzzaman, M., Yassine, A., & Benlamri, R. (2019) · Applied Sciences · doi:10.3390/app9091736 · Cited by 575
Habib, G., Sharma, S., Ibrahim, S., Ahmad, I., Qureshi, S., & Malik, I. A. (2022) · Future Internet · doi:10.3390/fi14110341 · Cited by 499
Tandon, A., Dhir, A., Islam, A. K. M. N., & Mäntymäki, M. (2020) · Computers in Industry · doi:10.1016/j.compind.2020.103290 · Cited by 439
The benefits and threats of blockchain technology in healthcare: A scoping review
Abu-elezz, I., Hassan, A., Nazeemudeen, A., Househ, M., & Abd-alrazaq, A. (2020) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2020.104246 · Cited by 375
A survey on the adoption of blockchain in IoT: challenges and solutions
Uddin, M. A., Stranieri, A., Gondal, I., & Balasubramanian, V. (2021) · Blockchain: Research and Applications · doi:10.1016/j.bcra.2021.100006 · Cited by 365
A sustainable Blockchain framework for the halal food supply chain: Lessons from Malaysia
Ali, M. H., Chung, L., Kumar, A., Zailani, S., & Tan, K. H. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120870 · Cited by 212
A Systematic Review of Blockchain in Healthcare: Frameworks, Prototypes, and Implementations
Chukwu, E., & Garg, L. (2020) · IEEE Access · doi:10.1109/access.2020.2969881 · Cited by 299
Akinola, O. A., Akinola, A., Oyekan, B., Oyerinde, O., Adebiyi, H. F., & Sulaimon, B. (2024) · International Journal of Innovative Science and Research Technology (IJISRT) · doi:10.38124/ijisrt/ijisrt24apr225 · Cited by 287
Blockchain technology in healthcare: A systematic review
Saeed, H., Malik, H., Bashir, U., Ahmad, A., Riaz, S., Ilyas, M., Bukhari, W. A., & Khan, M. I. A. (2022) · PLoS ONE · doi:10.1371/journal.pone.0266462 · Cited by 285
Applications of blockchain in unmanned aerial vehicles: A review
Alladi, T., Chamola, V., Sahu, N., & Guizani, M. (2020) · Vehicular Communications · doi:10.1016/j.vehcom.2020.100249 · Cited by 274
Integration of Blockchain and Cloud of Things: Architecture, Applications and Challenges
Nguyen, D. C., Pathirana, P. N., Ding, M., & Seneviratne, A. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.3020092 · Cited by 261
Hussien, H. M., Yasin, S. M., Udzir, S. N. I., Zaidan, A. A., & Zaidan, B. B. (2019) · Journal of Medical Systems · doi:10.1007/s10916-019-1445-8 · Cited by 264
Blockchain technology in the healthcare industry: Trends and opportunities
Hussien, H. M., Yasin, S. M., Udzir, N. I., Ninggal, M. I. H., & Salman, S. (2021) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2021.100217 · Cited by 242
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Kaur, H., Ahsaan, S. U., Alankar, B., & Chang, V. I. C. (2021) · Information Systems Frontiers · doi:10.1007/s10796-021-10135-7 · Cited by 233
Self-citationBlockchain for Industry 5.0: Vision, Opportunities, Key Enablers, and Future Directions
Verma, A., Bhattacharya, P., Madhani, N., Trivedi, C., Bhushan, B., Tanwar, S., Sharma, G., Bokoro, P., & Sharma, R. (2022) · IEEE Access · doi:10.1109/access.2022.3186892 · Cited by 108
Blockchain Application in Healthcare Systems: A Review
Ghosh, P. K., Chakraborty, A., Hasan, M., Rashid, K., & Siddique, A. H. (2023) · Systems · doi:10.3390/systems11010038 · Cited by 215
Soltanisehat, L., Alizadeh, R., Hao, H., & Choo, K. R. (2020) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2020.3013507 · Cited by 203
The role of 5G for digital healthcare against COVID-19 pandemic: Opportunities and challenges
Siriwardhana, Y., Gür, G., Ylianttila, M., & Liyanage, M. (2020) · ICT Express · doi:10.1016/j.icte.2020.10.002 · Cited by 205
Reegu, F. A., Abas, H., Gulzar, Y., Xin, Q., Alwan, A. A., Jabbari, A., Sonkamble, R. G., & Dziyauddin, R. A. (2023) · Sustainability · doi:10.3390/su15086337 · Cited by 194
Blockchain Based Cloud Computing: Architecture and Research Challenges
Murthy, C. V. N. U. B., Shri, M. L., Kadry, S., & Lim, S. (2020) · IEEE Access · doi:10.1109/access.2020.3036812 · Cited by 182
Exploring Research in Blockchain for Healthcare and a Roadmap for the Future
Kassab, M., DeFranco, J. F., Malas, T., Laplante, P. A., Destefanis, G., & Neto, V. V. G. (2019) · IEEE Transactions on Emerging Topics in Computing · doi:10.1109/tetc.2019.2936881 · Cited by 184
What Drives the Adoption of the Blockchain Technology? A Fit-Viability Perspective
Liang, T., Kohli, R., Huang, H.-C., & Li, Z. (2021) · Journal of Management Information Systems · doi:10.1080/07421222.2021.1912915 · Cited by 190
Blockchain Technology for Cloud Storage
Sharma, P., Jindal, R., & Borah, M. D. (2020) · ACM Computing Surveys · doi:10.1145/3403954 · Cited by 179
Pournaghi, S. M., Bayat, M., & Farjami, Y. (2020) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-020-01710-y · Cited by 169
A Survey of Decentralizing Applications via Blockchain: The 5G and Beyond Perspective
Yue, K., Zhang, Y., Chen, Y., Yang, L., Zhao, L. Y., Rong, C., & Chen, L. (2021) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3115797 · Cited by 149
Blockchain applications in the biomedical domain: A scoping review
Drosatos, G., & Kaldoudi, E. (2019) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2019.01.010 · Cited by 145
“[41] Medical records Logging N/A Kleinaki A.”
BackgroundMamun, A. A., Azam, S., & Gritti, C. (2022) · IEEE Access · doi:10.1109/access.2022.3141079 · Cited by 145
Ahmed, M. R., Islam, A. K. M. M., Shatabda, S., & Islam, S. (2022) · IEEE Access · doi:10.1109/access.2022.3216643 · Cited by 154
A lightweight blockchain and fog-enabled secure remote patient monitoring system
Cheikhrouhou, O., Mershad, K., Jamil, F., Mahmud, R., Koubâa, A., & Moosavi, S. R. (2023) · Internet of Things · doi:10.1016/j.iot.2023.100691 · Cited by 141
Prediction and diagnosis of future diabetes risk: a machine learning approach
Birjais, R., Mourya, A. K., Chauhan, R., & Kaur, H. (2019) · SN Applied Sciences · doi:10.1007/s42452-019-1117-9 · Cited by 136
Self-citationDurneva, P., Cousins, K. C., & Chen, M. M. (2020) · Journal of Medical Internet Research · doi:10.2196/18619 · Cited by 142
Application of blockchain technology in food safety control:current trends and future prospects
Xü, Y., Li, X., Zeng, X., Cao, J., & Jiang, W. (2020) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2020.1858752 · Cited by 145
A systematic review on Deep Learning approaches for IoT security
Aversano, L., Bernardi, M. L., Cimitile, M., & Pecori, R. (2021) · Computer Science Review · doi:10.1016/j.cosrev.2021.100389 · Cited by 141
Tian, Z., Zhong, R. Y., Barenji, A. V., Wang, Y., Li, Z., & Rong, Y. K. (2020) · International Journal of Production Research · doi:10.1080/00207543.2020.1809733 · Cited by 131
Blockchain-Based Internet of Things and Industrial IoT: A Comprehensive Survey
Dwivedi, S. K., Roy, P., Karda, C., Agrawal, S., & Amin, R. (2021) · Security and Communication Networks · doi:10.1155/2021/7142048 · Cited by 122
A comprehensive review on blockchain and Internet of Things in healthcare
Sharma, A., Kaur, S., & Singh, M. (2021) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.4333 · Cited by 116
Anand, A., Rani, S., Anand, D., Aljahdali, H. M., & Kerr, D. (2021) · Sensors · doi:10.3390/s21196346 · Cited by 113
EdgeCare: Leveraging Edge Computing for Collaborative Data Management in Mobile Healthcare Systems
Li, X., Huang, X., Li, C., Yu, R., & Shu, L. (2019) · IEEE Access · doi:10.1109/access.2019.2898265 · Cited by 109
Towards Medical Data Interoperability Through Collaboration of Healthcare Devices
Jaleel, A., Mahmood, T., Awais, M., Bano, G., & Khurshid, S. K. (2020) · IEEE Access · doi:10.1109/access.2020.3009783 · Cited by 108
IoT based Clinical Sensor Data Management and Transfer using Blockchain Technology
Wang, H. (2020) · Journal of ISMAC · doi:10.36548/jismac.2020.3.003 · Cited by 108
A survey on recent optimal techniques for securing unmanned aerial vehicles applications
Syed, F., Gupta, S. K., Alsamhi, S. H., Rashid, M. U., & Liu, X. (2020) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.4133 · Cited by 109
Peace engineering: The contribution of blockchain systems to the e-voting process
Baudier, P., Kondrateva, G., Ammi, C., & Seulliet, É. (2020) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120397 · Cited by 115
A Survey on Healthcare Data: A Security Perspective
Singh, A. K., Anand, A., Lv, Z., Ko, H., & Mohan, A. (2021) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/3422816 · Cited by 104
Design of Secure Protocol for Cloud-Assisted Electronic Health Record System Using Blockchain
Kim, M., Yu, S., Lee, J., Park, Y., & Park, Y. (2020) · Sensors · doi:10.3390/s20102913 · Cited by 102
Artificial Intelligence and Machine Learning for Ensuring Security in Smart Cities
Ahmed, S., Hossain, M. F., Kaiser, M. S., Noor, M. B. T., Mahmud, M., & Chakraborty, C. (2021) · Advanced sciences and technologies for security applications · doi:10.1007/978-3-030-72139-8_2 · Cited by 102
Applications of Blockchain in the Medical Field: Narrative Review
Xie, Y., Zhang, J., Wang, H., Liu, P., Liu, S., Huo, T., Duan, Y.-Y., Dong, Z., Lu, L., & Ye, Z. (2021) · Journal of Medical Internet Research · doi:10.2196/28613 · Cited by 102
Understanding of blockchain-based identity management system adoption in the public sector
Sung, C. S., & Park, J. Y. (2021) · Journal of Enterprise Information Management · doi:10.1108/jeim-12-2020-0532 · Cited by 106
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Jolfaei, A. A., Aghili, S. F., & Singelée, D. (2021) · IEEE Access · doi:10.1109/access.2021.3117662 · Cited by 101
Chen, Y., Xie, H., Lv, K., Wei, S., & Hu, C. (2019) · Information Sciences · doi:10.1016/j.ins.2019.05.092 · Cited by 93
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Saha, A., Amin, R., Kunal, S., Vollala, S., & Dwivedi, S. K. (2019) · Security and Privacy · doi:10.1002/spy2.83 · Cited by 92
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Alonso, S. G., Arambarri, J., López-Coronado, M., & Díez, I. D. L. T. (2019) · Journal of Medical Systems · doi:10.1007/s10916-019-1195-7 · Cited by 91
An Imbalanced Big Data Mining Framework for Improving Optimization Algorithms Performance
Hassib, E. M., El-Desouky, A. I., El‐kenawy, E. M., & Elghamrawy, S. M. (2019) · IEEE Access · doi:10.1109/access.2019.2955983 · Cited by 85
Malik, H., Anees, T., Faheem, M., Chaudhry, M. U., Ali, A., & Asghar, M. N. (2023) · Internet of Things · doi:10.1016/j.iot.2023.100860 · Cited by 91
Mubarakali, A. (2020) · Mobile Networks and Applications · doi:10.1007/s11036-020-01551-1 · Cited by 86
Agbo, C. C., & Mahmoud, Q. H. (2020) · International Journal of Healthcare Information Systems and Informatics · doi:10.4018/ijhisi.2020070105 · Cited by 84
Is Bitcoin rooted in confidence? – Unraveling the determinants of globalized digital currencies
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Ismail, L., Materwala, H., & Hennebelle, A. (2021) · Sensors · doi:10.3390/s21113753 · Cited by 75
A Blockchain Based Data Aggregation and Group Authentication Scheme for Electronic Medical System
Li, C., Shih, D., Wang, C.-C., Chen, C., & Lee, C. (2020) · IEEE Access · doi:10.1109/access.2020.3025898 · Cited by 76
Zheng, L. J., Xiong, C., Chen, X. H., & Li, C. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120894 · Cited by 72
Fair compute loads enabled by blockchain: sharing models by alternating client and server roles
Kuo, T.-T., Gabriel, R. A., & Lucila Ohno-machado, A. (2018) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocy180 · Cited by 73
Next-generation big data federation access control: A reference model
Awaysheh, F. M., Alazab, M., Gupta, M., Pena, T. F., & Cabaleiro, J. C. (2020) · Future Generation Computer Systems · doi:10.1016/j.future.2020.02.052 · Cited by 69
Ante, L., Fiedler, I., & Strehle, E. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120851 · Cited by 69
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Ferreira, J. C., Elvas, L. B., Correia, R., & Mascarenhas, M. (2024) · Healthcare · doi:10.3390/healthcare12191967 · Cited by 67
Exploring the intellectual cores of the blockchain-Internet of Things (BIoT)
Tsang, Y.-P., Wu, C.-H., Ip, A. W. H., & Shiau, W.-L. (2021) · Journal of Enterprise Information Management · doi:10.1108/jeim-10-2020-0395 · Cited by 57
Blockchain based medical image encryption using Arnold’s cat map in a cloud environment
Inam, S., Kanwal, S., Firdous, R., & Hajjej, F. (2024) · Scientific Reports · doi:10.1038/s41598-024-56364-z · Cited by 60
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Kaur, P., & Parashar, A. (2021) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-021-09659-7 · Cited by 59
Blockchain Paradigm for Healthcare: Performance Evaluation
Ismail, L., & Materwala, H. (2020) · Symmetry · doi:10.3390/sym12081200 · Cited by 59
A blockchain and smart contract-based data provenance collection and storing in cloud environment
Jyoti, A., & Chauhan, R. K. (2022) · Wireless Networks · doi:10.1007/s11276-022-02924-y · Cited by 53
Experimental Setup for Investigating the Efficient Load Balancing Algorithms on Virtual Cloud
Alankar, B., Sharma, G., Kaur, H., Valverde, R., & Chang, V. I. C. (2020) · Sensors · doi:10.3390/s20247342 · Cited by 52
Self-citationApplying blockchain in the geoenergy domain: The road to interoperability and standards
Perrons, R. K., & Cosby, T. (2020) · Applied Energy · doi:10.1016/j.apenergy.2020.114545 · Cited by 52
Analysis of critical success factors for blockchain technology implementation in healthcare sector
Bali, S., Bali, V., Mohanty, R. P., & Gaur, D. (2022) · Benchmarking An International Journal · doi:10.1108/bij-07-2021-0433 · Cited by 47
Blockchain as a mean to secure Internet of Things ecosystems – a systematic literature review
El-Masri, M., & Hussain, E. M. A. (2021) · Journal of Enterprise Information Management · doi:10.1108/jeim-12-2020-0533 · Cited by 43
Deebak, B. D., & Hwang, S. O. (2023) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2023.3315510 · Cited by 42
Anik, F. I., Sakib, N., Shahriar, H., Xie, Y., Nahiyan, H. A., & Ahamed, S. I. (2023) · Smart Health · doi:10.1016/j.smhl.2023.100401 · Cited by 41
Blockchain driven medical image encryption employing chaotic tent map in cloud computing
Shahid, U., Kanwal, S., Bano, M., Inam, S., Abdalla, M. E. M., & Shaikh, Z. A. (2025) · Scientific Reports · doi:10.1038/s41598-025-90502-5 · Cited by 42
DynamiChain: Development of Medical Blockchain Ecosystem Based on Dynamic Consent System
Kim, T. M., Lee, S.-J., Chang, D. J., Koo, J., Kim, T., Yoon, K., & Choi, I. (2021) · Applied Sciences · doi:10.3390/app11041612 · Cited by 45
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Popa, M. F., Stoklossa, S. M., & Mazumdar, S. (2023) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2023.3279871 · Cited by 40
Motohashi, T., Hirano, T., Okumura, K., Kashiyama, M., Ichikawa, D., & Ueno, T. (2019) · Journal of Medical Internet Research · doi:10.2196/13385 · Cited by 40
A Systematic Review of Blockchain, AI, and Cloud Integration for Secure Digital Ecosystems
Singh, J., Bharany, S., Rani, S., Rehman, A. U., Taye, B. M., Pant, R., & Kaur, U. (2025) · The International journal of networked and distributed computing · doi:10.1007/s44227-025-00072-1 · Cited by 43
Hickman, C. F. L., Alshubbar, H., Chambost, J., Jacques, C., Pena, C.-A., Drakeley, A., & Fréour, T. (2020) · Fertility and Sterility · doi:10.1016/j.fertnstert.2020.09.160 · Cited by 39
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Baysal, M. V., Özcan‐Top, Ö., & Betin-Can, A. (2022) · The Journal of Supercomputing · doi:10.1007/s11227-022-04772-1 · Cited by 37
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Bibliometric Analysis of the Blockchain Scientific Evolution: 2014–2020
Luo, J., Hu, Y., & Bai, Y. (2021) · IEEE Access · doi:10.1109/access.2021.3092192 · Cited by 37
Lee, T., Chang, I., & Kung, T.-S. (2021) · Applied Sciences · doi:10.3390/app112210576 · Cited by 33
Privacy Module for Distributed Electronic Health Records(EHRs) Using the Blockchain
Nortey, R. N., Yue, L., Agbedanu, P. R., & Adjeisah, M. (2019) · IEEE International Conference on Big Data Analytics (ICBDA) · doi:10.1109/icbda.2019.8713188 · Cited by 33
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Metadata
- Authors
- Kaur, H., Alam, M. A., Jameel, R., Mourya, A. K., & Chang, V.
- Affiliations
- Jamia Hamdard (IN)
- Xi’an Jiaotong-Liverpool University (CN)
- Corresponding author
- Mourya, Ashish Kumar
- Venue
- Journal of Medical Systems
- Published
- 2018-07-10
- Volume
- 42
- Issue
- 8
- Pages
- 156-156
- ISSN
- 0148-5598 (ISSN-L)
- 1573-689X
- OpenAlex
- W2878975049
- Cited by
- 274
- References
- 39
- Citations by year
- 2026: 8 · 2025: 28 · 2024: 22 · 2023: 35 · 2022: 38 · 2021: 62 · 2020: 55 · 2019: 24 · 2018: 2
- FWCI
- 57.69
- Type
- journal article
- Language
- en
- Open access
- green
- research.tees.ac.uk
- Licence
- cc-by-nc-nd
- www.springer.com/tdm (tdm)
- Locations
- Journal of Medical Systems (publishedVersion)
- PubMed (publishedVersion)
- TeesRep (Teesside University) (publishedVersion, cc-by-nc-nd)
- Teesside University Research Portal (Teesside University) (acceptedVersion, cc-by-nc-nd)
- Funders
- National Council for Science and Technology Communications (NCSTC), Department of Science and Technology (DST), Ministry of Science and Technology (Govt. of India), New Delhi, India (5753/ IFD/ 2015-16)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
- Keywords
- blockchain, cloud computing, electronic health records, big data, data security, decentralized storage, health data management, Medicare data
- MeSH terms
- Cloud Computing, Delivery of Health Care, Medicare, Humans, United States, Databases, Factual, Electronic Health Records
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