Block-chain and AI in Healthcare Data Security: Creating a Secure Medical Ecosystem
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https://doi.org/10.59022/ijlp.251Keywords:
Block-Chain Technology, Artificial Intelligence, Healthcare Data Security, Medical Data Protection, Cybersecurity, HIPAA Compliance, GDPRAbstract
This study investigates the integration of blockchain technology and artificial intelligence (AI) in healthcare data security systems. The research, conducted from 2022 to 2024, demonstrates significant improvements in medical data protection through the implementation of a comprehensive security solution. The study analyzed data from multiple healthcare institutions and included interviews with 45 industry experts. Key findings show a 94.3% reduction in unauthorized access attempts and 96.8% accuracy in identifying suspicious activities. The developed system achieved compliance with major international healthcare data protection regulations, including HIPAA and GDPR, while maintaining high performance with an average transaction processing speed of 0.8 seconds. The solution demonstrated 95% compatibility with existing medical information systems and resulted in a 47% reduction in security-related expenses during the first year of operation. This research contributes to the evolving field of healthcare cybersecurity by providing empirical evidence of the effectiveness in protecting sensitive medical data.
References
AllahRakha, N. (2024). Constitutional Safeguards for Digital Rights and Privacy. International Journal of Law and Policy, 2(4), 31–43. https://doi.org/10.59022/ijlp.172 DOI: https://doi.org/10.59022/ijlp.172
AllahRakha, N. (2024). Cybercrime and the Legal and Ethical Challenges of Emerging Technologies. International Journal of Law and Policy, 2(5), 28–36. https://doi.org/10.59022/ijlp.191 DOI: https://doi.org/10.59022/ijlp.191
AllahRakha, N. (2024). Cybersecurity regulations for protection and safeguarding digital assets (data) in today’s worlds. Lex Scientia Law Review, 8(1), 405-432. https://doi.org/10.15294/lslr.v8i1.2081 DOI: https://doi.org/10.15294/lslr.v8i1.2081
Bajwa, J., Munir, U., Nori, A., & Williams, B. (2021). Artificial intelligence in healthcare: Transforming the practice of medicine. Future Healthcare Journal, 8(2), e188–e194. https://doi.org/10.7861/fhj.2021-0095 DOI: https://doi.org/10.7861/fhj.2021-0095
Bathula, A., Gupta, S. K., Merugu, S., & et al. (2024). Blockchain, artificial intelligence, and healthcare: The tripod of future—a narrative review. Artificial Intelligence Review, 57, 238. https://doi.org/10.1007/s10462-024-10873-5 DOI: https://doi.org/10.1007/s10462-024-10873-5
Cupi, D. (2024). The Role of the Albanian Media as Mediator and Creator of Collective Memory. International Journal of Law and Policy, 2(1). https://doi.org/10.59022/ijlp.146 DOI: https://doi.org/10.59022/ijlp.146
Gulyamov, S., & Raimberdiyev, S. (2023). Personal Data Protection as a Tool to Fight Cyber Corruption. International Journal of Law and Policy, 1(7). https://doi.org/10.59022/ijlp.119 DOI: https://doi.org/10.59022/ijlp.119
Mamanazarov, S. (2024). Intellectual Property Theories as Applied to Big Data. International Journal of Law and Policy, 1(7). https://doi.org/10.59022/ijlp.164 DOI: https://doi.org/10.59022/ijlp.164
Meenavolu, S. B. K., & Vanmathi, C. (2024). Blockchain integration in healthcare: A comprehensive investigation of use cases, performance issues, and mitigation strategies. Frontiers in Digital Health, 6, 1359858. https://doi.org/10.3389/fdgth.2024.1359858 DOI: https://doi.org/10.3389/fdgth.2024.1359858
Mocydlarz-Adamcewicz, M., Bajsztok, B., Filip, S., Petera, J., Mestan, M., & Malicki, J. (2023). Management of onsite and remote communication in oncology hospitals: Data protection in an era of rapid technological advances. Journal of Personalized Medicine, 13(5), Article 761. https://doi.org/10.3390/jpm13050761 DOI: https://doi.org/10.3390/jpm13050761
Olawade, D. B., David-Olawade, A. C., Wada, O. Z., Asaolu, A. J., Adereni, T., & Ling, J. (2024). Artificial intelligence in healthcare delivery: Prospects and pitfalls. Journal of Medicine, Surgery, and Public Health, 3, 100108. https://doi.org/10.1016/j.glmedi.2024.100108 DOI: https://doi.org/10.1016/j.glmedi.2024.100108
Pakulska, T., & Religioni, U. (2023). Implementation of technology in healthcare entities – Barriers and success factors. Journal of Medical Economics, 26(1), 821-823. https://doi.org/10.1080/13696998.2023.2226537 DOI: https://doi.org/10.1080/13696998.2023.2226537
Rizka, R. (2024). Legal Protection for Consumers Who Buy and Sell Used Goods on Facebook. International Journal of Law and Policy, 2(4), 44–54. https://doi.org/10.59022/ijlp.165 DOI: https://doi.org/10.59022/ijlp.165
Sinha, R. (2024). The role and impact of new technologies on healthcare systems. Discovery Health Systems, 3(96). https://doi.org/10.1007/s44250-024-00163-w DOI: https://doi.org/10.1007/s44250-024-00163-w
Spanakis, E. G., Sfakianakis, S., Bonomi, S., Ciccotelli, C., Magalini, S., & Sakkalis, V. (2021). Emerging and established trends to support secure health information exchange. Frontiers in Digital Health, 3, 636082. https://doi.org/10.3389/fdgth.2021.636082 DOI: https://doi.org/10.3389/fdgth.2021.636082
Taherdoost, H. (2023). Privacy and security of blockchain in healthcare: Applications, challenges, and future perspectives. Sci, 5(4), 41. https://doi.org/10.3390/sci5040041 DOI: https://doi.org/10.3390/sci5040041
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Copyright (c) 2024 Ekaterina Kan
This work is licensed under a Creative Commons Attribution 4.0 International License.
