Distributed e-health wide-world accounting ledger via blockchain
Abstract
Today’s e-health system is centralized. This system obliges all users (patients and healthcare staff) to have a high level of trust in the intermediary who stores the data. Moreover, healthcare employees must trust that their patients are providing authentic medical records and are not altering th em in order to obtain drugs for illegal purposes. The solution proposed in this paper is a new blockchain-based architecture for the creation of an e-health system. In this architecture, wireless sensor networks (WSN) will be used in association with a WSN controller v.2 to supervise patients and their testing by healthcare staff. Transactions between blockchain and WSN are made through smart contracts, removing the need for intermediaries and preventing human error. This new model facilitates a distributed ledger, creating an e-health system that is much more optimized than the current one.
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Recent studies have begun to incorporate analogous and peripheral technologies into blockchain-based system architectures, including IoT, sensors, wireless body area networks, big data, edge computing, and cloud technology.
“Recent studies have begun to incorporate analogous and peripheral technologies into blockchain-based system architectures that include IoT (Dwivedi et al., 2019), sensors (Casado-Vara & Corchado, 2019), wireless body area networks (Griggs et al., 2018), (Mamoshina et al., 2018), big data (Dhagarra et al., 2019), edge computing (Zheng et al., 2019), and cloud technology (Kaur et al., 2018).”
From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Casado-Vara & Corchado, 2019
Medical and personal health records are generated and managed at multiple levels by patients via smart devices, healthcare service providers, and allied industries.
“Medical and personal health records are now generated and managed at multiple levels through patients via smart devices (Casado-Vara & Corchado, 2019), healthcare service providers, and allied industries, such as pharmaceutics, insurance, and research (Cios et al., 2019;Tian et al., 2019).”
From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Casado-Vara & Corchado, 2019
Beneficiaries may be authorized by patients to access and use medical data for purposes like collaborative decision-making, diagnostics, and fraud avoidance.
“They may be authorized by patients to access and use medical data for varied purposes, such as collaborative medical decision-making (Li et al., 2019), medical diagnostics and informatics (S.J. Lee et al., 2018), and avoiding fraud (Casado-Vara & Corchado, 2019).”
From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Casado-Vara & Corchado, 2019
Cites
Aitzhan, N. Z., & Svetinovic, D. (2018) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2016.2616861 · Cited by 1,297 · see citing works
Towards blockchain-based intelligent transportation systems
Yuan, Y., & Wang, F.-Y. (2016) · 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc.2016.7795984 · Cited by 671 · see citing works
A polarity analysis framework for Twitter messages
Lima, A. C. E. S., de Castro, L. N., & Corchado, J. M. (2015) · Applied Mathematics and Computation · doi:10.1016/j.amc.2015.08.059 · Cited by 135 · see citing works
Self-citationTapia, D. I., Fraile, J. A., Rodrı́guez, S., Alonso, R. S., & Corchado, J. M. (2011) · Information Sciences · doi:10.1016/j.ins.2011.05.002 · Cited by 99 · see citing works
Self-citationVara, R. C., Prieto‐Castrillo, F., & Corchado, J. M. (2018) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.4306 · Cited by 88 · see citing works
Self-citationIncreased performance and better patient attendance in an hospital with the use of smart agendas
Costa, Â., Nováis, P., Corchado, J. M., & Neves, J. (2011) · Logic Journal of IGPL · doi:10.1093/jigpal/jzr021 · Cited by 82 · see citing works
Self-citationA particle dyeing approach for track continuity for the SMC-PHD filter
Li, T., Sun, S., Corchado, J. M., & Siyau, M. F. (2014) · Cited by 82 · see citing works
Self-citation10th International Conference on Soft Computing Models in Industrial and Environmental Applications
Herrero, Á., Sedano, J., Baruque, B., Quintián, H., & Corchado, E. (2015) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-19719-7 · Cited by 55 · see citing works
Random finite set-based Bayesian filters using magnitude-adaptive target birth intensity
Li, T., Sun, S., Corchado, J. M., & Siyau, M. F. (2014) · Cited by 53 · see citing works
Self-citationNeuro-symbolic System for Business Internal Control
Corchado, J. M., Borrajo, L., Pellicer, M. A., & Yáñez, J. C. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-30185-1_1 · Cited by 47 · see citing works
Self-citationBladder Carcinoma Data with Clinical Risk Factors and Molecular Markers: A Cluster Analysis
González, E. R., de Castro, L. N., Sierra, J. M., Casas, M. L. M. D. L., Vera, V., Ferrari, D. G., & Corchado, J. M. (2015) · BioMed Research International · doi:10.1155/2015/168682 · Cited by 46 · see citing works
Self-citationDecentralized Coalition Formation with Agent-based Combinatorial Heuristics
Bremer, J., & Lehnhoff, S. (2017) · ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL · doi:10.14201/adcaij2017632944 · Cited by 39 · see citing works
Enabling Communications in Heterogeneous Multi-Agent Systems: Electricity Markets Ontology
Santos, G., Pinto, T. D. O., Vale, Z., Praça, I., & Morais, H. G. V. (2016) · ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL · doi:10.14201/adcaij2016522542 · Cited by 32 · see citing works
Blockchain for Democratic Voting: How Blockchain Could Cast off Voter Fraud
Vara, R. C., & Corchado, J. M. (2018) · Oriental journal of computer science and technology · doi:10.13005/ojcst11.01.01 · Cited by 32 · see citing works
Self-citationLinguistic Models at the Crossroads of Agents, Learning and Formal Languages
Becerra-Bonache, L., & Jiménez‐López, M. D. (2014) · ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL · doi:10.14201/adcaij2014346787 · Cited by 23 · see citing works
Obtaining Relevant Genes by Analysis of Expression Arrays with a Multi-agent System
González‐Briones, A., Ramos, J., Paz, J. F. D., & Corchado, J. M. (2015) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-19776-0_15 · Cited by 17 · see citing works
Self-citationMulti-agent system for Knowledge-based recommendation of Learning Objects
Marín, P. A. R., Duque, N., & Ovalle, D. A. (2015) · ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL · doi:10.14201/adcaij2015418089 · Cited by 16 · see citing works
Obtaining Relevant Genes by Analysis of Expression Arrays with a Multi-Agent System
González‐Briones, A., Ramos, J., Paz, J. F. D., & Corchado, J. M. (2015) · ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL · doi:10.14201/adcaij2014333542 · Cited by 8 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
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 · see citing works
The Impact of Artificial Intelligence and Blockchain on the Accounting Profession
Zhang, Y., Xiong, F., Xie, Y., Fan, X., & Hai-feng, G. (2020) · IEEE Access · doi:10.1109/access.2020.3000505 · Cited by 443 · see citing works
Blockchain applications in management: A bibliometric analysis and literature review
Tandon, A., Kaur, P., Mäntymäki, M., & Dhir, A. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120649 · Cited by 270 · see citing works
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 276 · see citing works
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 204 · see citing works
Treiblmaier, H., Rejeb, A., & Strebinger, A. (2020) · Smart Cities · doi:10.3390/smartcities3030044 · Cited by 122 · see citing works
Medical Cyber–Physical Systems: A Solution to Smart Health and the State of the Art
Chen, F., Tang, Y., Wang, C., Huang, J., Huang, C., Xie, D., Wang, T., & Zhao, C. (2021) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2021.3122807 · Cited by 100 · see citing works
Knowledge, diffusion and interest in blockchain technology in SMEs
Bracci, E., Tallaki, M., Ievoli, R., & Diplotti, S. (2021) · Journal of Knowledge Management · doi:10.1108/jkm-02-2021-0099 · Cited by 88 · see citing works
Blockchain Mechanism and Symmetric Encryption in A Wireless Sensor Network
Guerrero-Sánchez, A. E., Rivas-Araiza, E. A., Gonzalez-Cordoba, J. L., Toledano‐Ayala, M., & Takács, A. (2020) · Sensors · doi:10.3390/s20102798 · Cited by 71 · see citing works
Multipurpose medical image watermarking for effective security solutions
Sinhal, R., Sharma, S., Ansari, I. A., & Bajaj, V. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-12082-0 · Cited by 66 · see citing works
eHealth: A Survey of Architectures, Developments in mHealth, Security Concerns and Solutions
Alenoghena, C. O., Onumanyi, A. J., Ohize, H. O., Adejo, A. O., Oligbi, M., Ali, S. I., & Okoh, S. A. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192013071 · Cited by 66 · see citing works
Machine learning based multipurpose medical image watermarking
Sinhal, R., & Ansari, I. A. (2023) · Neural Computing and Applications · doi:10.1007/s00521-023-08457-5 · Cited by 48 · see citing works
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 41 · see citing works
Deployment of distributed ledger and decentralized technology for transition to smart industries
Anthony, B. (2023) · Environment Systems & Decisions · doi:10.1007/s10669-023-09902-5 · Cited by 32 · see citing works
A Systematic Literature Review for Blockchain-Based Healthcare Implementations
Shaikh, M., Memon, S. A., Ebrahimi, A., & Wiil, U. K. (2025) · Healthcare · doi:10.3390/healthcare13091087 · Cited by 32 · see citing works
Pflueger, D., Kornberger, M., & Mouritsen, J. (2022) · European Accounting Review · doi:10.1080/09638180.2022.2147973 · Cited by 26 · see citing works
Making Case for Using RAFT in Healthcare Through Hyperledger Fabric
Alexandridis, A., Al-Sumaidaee, G., Alkhudary, R., & Žilić, Ž. (2021) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata52589.2021.9671934 · Cited by 25 · see citing works
Makina, H., Letaïfa, A. B., & Rachedi, A. (2023) · Security and Privacy · doi:10.1002/spy2.346 · Cited by 26 · see citing works
DELINEATION OF BLOCKCHAIN TECHNOLOGY IN FINANCE: A SCIENTOMETRIC VIEW
Jaiswal, R., Gupta, S., & Tiwari, A. K. (2022) · Annals of Financial Economics · doi:10.1142/s2010495222500257 · Cited by 22 · see citing works
ECBCM: A prestige‐based edge computing blockchain security consensus model
Xuan, S., Chen, Z., Chung, I., Tan, H., Man, D., Du, X., Yang, W., & Guizani, M. (2020) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.4015 · Cited by 17 · see citing works
Application of Blockchain as a Solution to the Real-World Issues in Health Care System
Panigrahi, A., Sahu, B., Panigrahi, S. S., Khan, M. S., & Jena, A. K. (2021) · Intelligent systems reference library · doi:10.1007/978-3-030-69395-4_8 · Cited by 16 · see citing works
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Mauricio, D., Llanos-Colchado, P. C., Cutipa-Salazar, L. S., Castañeda, P., Chuquimbalqui-Maslucán, R., Rojas-Mezarina, L., & Castillo, J. L. (2024) · International Journal of Online and Biomedical Engineering (iJOE) · doi:10.3991/ijoe.v20i03.44507 · Cited by 17 · see citing works
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Pap, I. A., Oniga, S., & Alexan, A. (2020) · IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR) · doi:10.1109/aqtr49680.2020.9129966 · Cited by 12 · see citing works
Applications Research of Blockchain Technology in Accounting System
Zheng, R. (2021) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1955/1/012068 · Cited by 11 · see citing works
Blockchain-Enabled Supply Chain Finance: A Bibliometric Review and Research Agenda
Abdullah, A., Satria, A., Mulyati, H., Arkeman, Y., & Indrawan, D. (2024) · Administrative Sciences · doi:10.3390/admsci14110298 · Cited by 14 · see citing works
Phonendo: a platform for publishing wearable data on distributed ledger technologies
Moya, F., Quesada, F. J., Martínez, L. M., & Estrella, F. J. (2023) · Wireless Networks · doi:10.1007/s11276-023-03458-7 · Cited by 10 · see citing works
Anwar, A. M., & Pavalarajan, S. (2023) · IETE Journal of Research · doi:10.1080/03772063.2023.2186504 · Cited by 7 · see citing works
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Distributed computing to blockchain: Architecture, technology, and applications
Lv, Z., Wu, J., Chen, D., & Gander, A. J. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-96146-2.00019-x · Cited by 6 · see citing works
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Self-citationBlockchain-Based Open Network in Technology Intermediation
Yang, Y., & Shyu, J. Z. (2019) · IEEE International Symposium on Innovation and Entrepreneurship (TEMS-ISIE) · doi:10.1109/tems-isie46312.2019.9074272 · Cited by 5 · see citing works
A systematic literature review on e-health implementation and policies
Marino, A., Pariso, P., & Picariello, M. (2022) · Journal of Entrepreneurship and Sustainability Issues · doi:10.9770/jesi.2022.10.2(3 · Cited by 4 · see citing works
Secure Integration of Cyber Engineering and Medical Cyber-Physical System: A Survey and Open Issues
Pandey, A., Zeadally, S., Das, A. K., & Kumar, N. (2025) · ACM Computing Surveys · doi:10.1145/3757731 · Cited by 4 · see citing works
Charles, W. (2022) · Blockchain technologies · doi:10.1007/978-981-19-2976-2_14 · Cited by 4 · see citing works
Application Research on Blockchain Technology in Accounting System
Li, C. (2023) · International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT) · doi:10.1109/easct59475.2023.10392846 · Cited by 3 · see citing works
E Health and Electronic Health Record: The Italian experience in the European ContextPreprint
Marino, A., Pariso, P., & Landriani, L. (2020) · doi:10.21203/rs.3.rs-31655/v1 · Cited by 3 · see citing works
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Prieto, J., & Corchado, J. M. (2020) · Cited by 2 · see citing works
Self-citationLópez-Blanco, R., Alonso, R. S., Prieto, J., Rodrı́guez, S., & Corchado, J. M. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-15471-3_6 · Cited by 2 · see citing works
Self-citationExploring the Blockchain Applications in Healthcare Sector: A Systematic Literature Review
Urkude, S. V., & Saravanan, D. (2023) · International Conference on Innovative Mechanisms for Industry Applications · doi:10.1109/icimia60377.2023.10426154 · Cited by 1 · see citing works
Gupta, P., Goyal, M. K., Mundra, A., & Tripathi, R. P. (2020) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-179685 · Cited by 1 · see citing works
Soft computing and intelligent systems: techniques and applications
Thampi, S. M., & El-Alfy, E.-S. M. (2019) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-169905 · Cited by 1 · see citing works
Marino, A., Pariso, P., & Picariello, M. (2023) · Journal of Entrepreneurship and Sustainability Issues · doi:10.9770/jesi.2023.11.1(3 · Cited by 1 · see citing works
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Sonya, A., & Kavitha, G. (2021) · Research Square · doi:10.21203/rs.3.rs-633622/v1 · Cited by 1 · see citing works
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Thampi, S. M., El-Alfy, E.-S. M., Mitra, S., & Trajković, L. (2018) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-169420
Yano, M., & Badallo, A. C. (2019) · Ediciones Universidad de Salamanca (España) eBooks
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Pinzón, C. I., & Badallo, A. C. (2019) · Ediciones Universidad de Salamanca (España) eBooks
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ANWAR, A. M., & PAVALARAJAN, S. (2022) · Research Square · doi:10.21203/rs.3.rs-2150231/v1
Cushing, R., Zhou, X., Belloum, A. S. Z., Grosso, P., van Engers, T., & de Laat, C. T. A. M. (2023) · IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA) · doi:10.1109/tps-isa58951.2023.00036
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- Authors
- Casado-Vara, R., & Corchado, J.
- Affiliations
- BISITE Digital Innovation Hub, University of Salamanca. Edificio Multiusos I+D+i, 37007, Salamanca, Spain
- Universidad de Salamanca (ES)
- Corresponding author
- Corchado, Juan
- ORCID
- Corchado, Juan
- Venue
- Journal of Intelligent & Fuzzy Systems
- Publisher
- SAGE Publications
- Published
- 2019-03-26
- Volume
- 36
- Issue
- 3
- Pages
- 2381-2386
- ISSN
- 1064-1246 (ISSN-L)
- 1875-8967
- OpenAlex
- W2923601423
- Cited by
- 59
- References
- 18
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 5 · 2023: 12 · 2022: 9 · 2021: 9 · 2020: 11 · 2019: 9 · 2018: 1
- FWCI
- 11.82
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Intelligent & Fuzzy Systems (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
- Health Sciences › Health Professions › Health Information Management › Innovation in Digital Healthcare Systems
- Keywords
- e-health, blockchain, distributed ledger technology, wireless sensor networks, smart contracts, medical records, patient monitoring, data trust
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