Abstract
Healthcare breaches and fragmented data in the healthcare sector have been a pressing issue for a long time. Though standards of data systems and information security have been increasing with time, there has not been any established approach to keep health records secure and easy to use. Blockchain technology offers a solution—and healthcare organizations are increasingly taking notice of its transformative potential. It has of late been one of the most promising fields of study in the research sector. Though it is still in its early development stages, improvements are being devised every day to make it better than before. In this study, we aim to discuss the innovation of blockchain technology and the way it may solve the current issues in the healthcare sector. A framework is presented that could be used to implement blockchain technology in the healthcare industry for Electronic Health Records (EHR), evaluating the various perspectives around health data, including data protection, security, control, and storage. Blockchain, being one of the most encouraging technologies lately has imparted immense benefits to the health care sector due to security, privacy, confidentiality, and decentralization. It has the potential to comprehensively manage patient records.
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References
Mayer, A. H., da Costa, C. A., & Righi, R. D. R. (2020). Electronic health records in a blockchain: a systematic review. Health informatics journal, 26(2), 1273–1288.
Guo, R., Shi, H., Zhao, Q., & Zheng, D. (2018). Secure attribute-based signature scheme with multiple authorities for blockchain in electronic health records systems. IEEE Access, 6, 11676–11686.
Kuperman, G. J. (2011). Health-information exchange: Why are we doing it, and what are we doing? Journal of the American Medical Informatics Association, 18(5), 678–682.
Maull, R., Godsiff, P., Mulligan, C., Brown, A., & Kewell, B. (2017). Distributed ledger technology: applications and implications. Strategic Change, 26(5), 481–489.
Tripathy, H. K., Mishra, S., Thakkar, H. K., & Rai, D. (2021). CARE: a collision-aware mobile robot navigation in grid environment using improved breadth first search. Computers & Electrical Engineering, 94, 107327.
Macrinici, D., Cartofeanu, C., & Gao, S. (2018). Smart contract applications within blockchain technology: a systematic mapping study. Telematics and Informatics, 35(8), 2337–2354.
Delmolino, K., Arnett, M., Kosba, A., Miller, A., Shi, E. (2016). Step by step towards creating a safe smart contract: Lessons and insights from a cryptocurrency lab. In International Conference on Financial Cryptography and Data Security, pp. 79–94. Springer
Chen, T., Li, X., Luo, X., Zhang, X. (2017). Under-optimized smart contracts devour your money. In 2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER) (pp. 442–446). IEEE
Marino, B., Juels, A. (2016). Setting standards for altering and undoing smart contracts. In International Symposium on Rules and Rule Markup Languages for the Semantic Web (pp. 151–166). Springer.
De Angelis, S., Aniello, L., Baldoni, R., Lombardi, F., Margheri, A., Sassone, V. (2018). Pbft vs proof-of- authority: applying the cap theorem to permissioned blockchain.
Mukherjee, P., & Pradhan, C. (2021). Blockchain 1.0 to blockchain 4.0—The evolutionary transformation of blockchain technology. In Blockchain technology: applications and challenges (pp. 29–49). Springer.
Mishra, S., Tripathy, H. K., Mallick, P. K., Bhoi, A. K., & Barsocchi, P. (2020). EAGA-MLP—An enhanced and adaptive hybrid classification model for diabetes diagnosis. Sensors, 20(14), 4036.
Zyskind, G., Nathan, O., et al. (2015). Decentralizing privacy: Using blockchain to protect personal data. In Security and Privacy Workshops (SPW), 2015 (pp. pp. 180–184). IEEE.
Halpin, H., & Piekarska, M. (2017, April). Introduction to Security and Privacy on the Blockchain. In 2017 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW) (pp. 1–3). IEEE.
Mishra, S., Thakkar, H., Mallick, P. K., Tiwari, P., & Alamri, A. (2021). A sustainable ioht based computationally intelligent healthcare monitoring system for lung cancer risk detection. Sustainable Cities and Society, 103079.
Zamani, M., Movahedi, M., & Raykova, M. (2018, October). Rapidchain: Scaling blockchain via full sharding. In Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security (pp. 931–948).
Mishra, S., Mishra, B. K., & Tripathy, H. K. (2015, December). A neuro-genetic model to predict hepatitis disease risk. In 2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) (pp. 1–3). IEEE.
Mishra, S., Panda, A., & Tripathy, K. H. (2018). Implementation of re-sampling technique to handle skewed data in tumor prediction. Journal of Advanced Research in Dynamical Control Systems, 10, 526–530.
Tripathy, H. K., Mallick, P. K., & Mishra, S. (2021). Application and evaluation of classification model to detect autistic spectrum disorders in children. International Journal of Computer Applications in Technology, 65(4), 368–377.
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Mishra, A., Moin, K., Shrivastava, M., Tripathy, H.K. (2022). Relevance of Blockchain in Revolutionizing Health Records. In: Mishra, S., Tripathy, H.K., Mallick, P., Shaalan, K. (eds) Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis. Studies in Computational Intelligence, vol 1024. Springer, Singapore. https://doi.org/10.1007/978-981-19-1076-0_16
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DOI: https://doi.org/10.1007/978-981-19-1076-0_16
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