The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index.
The role of blockchain technology in telehealth and telemedicine
Open accessAbstract
OBJECTIVE: Telehealth and telemedicine systems aim to deliver remote healthcare services to mitigate the spread of COVID-9. Also, they can help to manage scarce healthcare resources to control the massive burden of COVID-19 patients in hospitals. However, a large portion of today's telehealth and telemedicine systems are centralized and fall short of providing necessary information security and privacy, operational transparency, health records immutability, and traceability to detect frauds related to patients' insurance claims and physician credentials. METHODS: The current study has explored the potential opportunities and adaptability challenges for blockchain technology in telehealth and telemedicine sector. It has explored the key role that blockchain technology can play to provide necessary information security and privacy, operational transparency, health records immutability, and traceability to detect frauds related to patients' insurance claims and physician credentials. RESULTS: Blockchain technology can improve telehealth and telemedicine services by offering remote healthcare services in a manner that is decentralized, tamper-proof, transparent, traceable, reliable, trustful, and secure. It enables health professionals to accurately identify frauds related to physician educational credentials and medical testing kits commonly used for home-based diagnosis. CONCLUSIONS: Wide deployment of blockchain in telehealth and telemedicine technology is still in its infancy. Several challenges and research problems need to be resolved to enable the widespread adoption of blockchain technology in telehealth and telemedicine systems.
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(2013) · Cited by 5,372
Virtually perfect? Telemedicine for COVID-19
Hollander, J. E., & Carr, B. G. (2020) · New England Journal of Medicine · doi:10.1056/nejmp2003539 · Cited by 2,970
Bitcoin: Economics, Technology, and Governance
Böhme, R., Christin, N., Edelman, B., & Moore, T. (2015) · Journal of Economic Perspectives · doi:10.1257/jep.29.2.213 · Cited by 1,823
Digital technology and COVID-19
Ting, D. S. W., Carin, L., Dzau, V., & Wong, T. Y. (2020) · Nature Medicine · doi:10.1038/s41591-020-0824-5 · Cited by 1,413
An overview on smart contracts: Challenges, advances and platforms
Zheng, Z., Xie, S., Dai, H.-N., Chen, W., Chen, X., Weng, J., & Imran, M. (2020) · Future Generation Computer Systems · doi:10.1016/j.future.2019.12.019 · Cited by 1,197
Effectiveness of telemedicine: A systematic review of reviews
Ekeland, A. G., Bowes, A., & Flottorp, S. (2010) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2010.08.006 · Cited by 1,162
Blockchain technology in healthcare: a systematic review
Agbo, C. C., Mahmoud, Q. H., & Eklund, J. M. (2019) · Healthcare · doi:10.3390/healthcare7020056 · Cited by 1,131
Chamola, V., Hassija, V., Gupta, V., & Guizani, M. (2020) · IEEE Access · doi:10.1109/access.2020.2992341 · Cited by 1,099
2018 IEEE International Conference on Communications (ICC)
(2018) · doi:10.1109/icc34414.2018 · Cited by 1,028
Healthcare blockchain system using smart contracts for secure automated remote patient monitoring
Griggs, K. N., Ossipova, O., Kohlios, C. P., Baccarini, A. N., Howson, E. A., & Hayajneh, T. (2018) · Journal of Medical Systems · doi:10.1007/s10916-018-0982-x · Cited by 926
Cited by
Telemedicine for Healthcare: Capabilities, Features, Barriers, and Applications
Haleem, A., Javaid, M., Singh, R. P., & Suman, R. (2021) · Sensors International · doi:10.1016/j.sintl.2021.100117 · Cited by 1,638
Metadata
- Authors
- Ahmad, R. W., Salah, K., Jayaraman, R., Yaqoob, I., Ellahham, S., & Omar, M.
- Venue
- International Journal of Medical Informatics
- Publisher
- Elsevier BV
- Published
- 2021-04
- Volume
- 148
- Pages
- 104399
- ISSN
- 1386-5056 (ISSN-L)
- OpenAlex
- W3087312226
- Cited by
- 282
- References
- 75
- FWCI
- 47.51
- Type
- journal article
- Language
- en
- Open access
- gold
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- Ahmad, R. W., Salah, K., Jayaraman, R., Yaqoob, I., Ellahham, S., & Omar, M. (2021). The role of blockchain technology in telehealth and telemedicine. International Journal of Medical Informatics. https://doi.org/10.1016/j.ijmedinf.2021.104399
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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