Vol. 4 No. 2 (2024): African Journal of Artificial Intelligence and Sustainable Development
Articles

Blockchain and AI Synergy in Healthcare: A Secure and Scalable Model for Electronic Health Records

PDF
  • Dr. Jennifer Collins
Dr. Jennifer Collins
Associate Professor, Department of Health Informatics, Harvard University, Cambridge, Massachusetts, USA

Published 02-10-2024

Keywords

  • Blockchain,
  • Artificial Intelligence
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
D. J. Collins, “Blockchain and AI Synergy in Healthcare: A Secure and Scalable Model for Electronic Health Records”, African J. of Artificial Int. and Sust. Dev., vol. 4, no. 2, pp. 84–91, Oct. 2024, Accessed: Nov. 06, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/176

Abstract

The integration of blockchain technology and artificial intelligence (AI) offers a transformative approach to managing electronic health records (EHRs) in healthcare. This paper discusses the potential benefits of combining blockchain's decentralized, secure framework with AI's capabilities for data analysis and real-time insights. The proposed model aims to enhance data privacy, improve accessibility, and facilitate seamless interoperability among healthcare stakeholders. By leveraging smart contracts and AI algorithms, healthcare providers can ensure that patient data remains secure, accurate, and accessible when needed. The discussion encompasses the challenges and considerations for implementing this synergy, including regulatory compliance, data ownership, and the need for robust infrastructure. The findings suggest that a blockchain-AI integrated model could revolutionize EHR management, paving the way for enhanced patient care and operational efficiency.

PDF

Downloads

Download data is not yet available.

References

  1. Gayam, Swaroop Reddy. "Artificial Intelligence in E-Commerce: Advanced Techniques for Personalized Recommendations, Customer Segmentation, and Dynamic Pricing." Journal of Bioinformatics and Artificial Intelligence 1.1 (2021): 105-150.
  2. Chitta, Subrahmanyasarma, et al. "Decentralized Finance (DeFi): A Comprehensive Study of Protocols and Applications." Distributed Learning and Broad Applications in Scientific Research 5 (2019): 124-145.
  3. Nimmagadda, Venkata Siva Prakash. "Artificial Intelligence for Predictive Maintenance of Banking IT Infrastructure: Advanced Techniques, Applications, and Real-World Case Studies." Journal of Deep Learning in Genomic Data Analysis 2.1 (2022): 86-122.
  4. Putha, Sudharshan. "AI-Driven Predictive Analytics for Maintenance and Reliability Engineering in Manufacturing." Journal of AI in Healthcare and Medicine 2.1 (2022): 383-417.
  5. Sahu, Mohit Kumar. "Machine Learning for Personalized Marketing and Customer Engagement in Retail: Techniques, Models, and Real-World Applications." Journal of Artificial Intelligence Research and Applications 2.1 (2022): 219-254.
  6. Kasaraneni, Bhavani Prasad. "AI-Driven Policy Administration in Life Insurance: Enhancing Efficiency, Accuracy, and Customer Experience." Journal of Artificial Intelligence Research and Applications 1.1 (2021): 407-458.
  7. Vangoor, Vinay Kumar Reddy, et al. "Energy-Efficient Consensus Mechanisms for Sustainable Blockchain Networks." Journal of Science & Technology 1.1 (2020): 488-510.
  8. Kondapaka, Krishna Kanth. "AI-Driven Demand Sensing and Response Strategies in Retail Supply Chains: Advanced Models, Techniques, and Real-World Applications." Journal of Artificial Intelligence Research and Applications 1.1 (2021): 459-487.
  9. Kasaraneni, Ramana Kumar. "AI-Enhanced Process Optimization in Manufacturing: Leveraging Data Analytics for Continuous Improvement." Journal of Artificial Intelligence Research and Applications 1.1 (2021): 488-530.
  10. Pattyam, Sandeep Pushyamitra. "AI-Enhanced Natural Language Processing: Techniques for Automated Text Analysis, Sentiment Detection, and Conversational Agents." Journal of Artificial Intelligence Research and Applications 1.1 (2021): 371-406.
  11. Kuna, Siva Sarana. "The Role of Natural Language Processing in Enhancing Insurance Document Processing." Journal of Bioinformatics and Artificial Intelligence 3.1 (2023): 289-335.
  12. George, Jabin Geevarghese. "HARNESSING GENERATIVE AI FOR ENTERPRISE APPLICATION MODERNIZATION: ENHANCING CYBERSECURITY AND DRIVING INNOVATION." INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ENGINEERING AND TECHNOLOGY (IJARET) 15.3 (2024): 377-392.
  13. Katari, Pranadeep, et al. "Cross-Chain Asset Transfer: Implementing Atomic Swaps for Blockchain Interoperability." Distributed Learning and Broad Applications in Scientific Research 5 (2019): 102-123.
  14. Karunakaran, Arun Rasika. "A Data-Driven Approach for Optimizing Omni-Channel Pricing Strategies through Machine Learning." Journal of Artificial Intelligence Research and Applications 3.2 (2023): 588-630.
  15. Sengottaiyan, Krishnamoorthy, and Manojdeep Singh Jasrotia. "SLP (Systematic Layout Planning) for Enhanced Plant Layout Efficiency." International Journal of Science and Research (IJSR) 13.6 (2024): 820-827.
  16. Venkata, Ashok Kumar Pamidi, et al. "Implementing Privacy-Preserving Blockchain Transactions using Zero-Knowledge Proofs." Blockchain Technology and Distributed Systems 3.1 (2023): 21-42.
  17. Namperumal, Gunaseelan, Akila Selvaraj, and Deepak Venkatachalam. "Machine Learning Models Trained on Synthetic Transaction Data: Enhancing Anti-Money Laundering (AML) Efforts in the Financial Services Industry." Journal of Artificial Intelligence Research 2.2 (2022): 183-218.
  18. Soundarapandiyan, Rajalakshmi, Praveen Sivathapandi, and Debasish Paul. "AI-Driven Synthetic Data Generation for Financial Product Development: Accelerating Innovation in Banking and Fintech through Realistic Data Simulation." Journal of Artificial Intelligence Research and Applications 2.2 (2022): 261-303.
  19. Pradeep Manivannan, Priya Ranjan Parida, and Chandan Jnana Murthy, “Strategic Implementation and Metrics of Personalization in E-Commerce Platforms: An In-Depth Analysis”, Journal of AI-Assisted Scientific Discovery, vol. 1, no. 2, pp. 59–96, Aug. 2021
  20. Yellepeddi, Sai Manoj, et al. "Blockchain Interoperability: Bridging Different Distributed Ledger Technologies." Blockchain Technology and Distributed Systems 2.1 (2022): 108-129.

Similar Articles

You may also start an advanced similarity search for this article.