Blockchain in Healthcare: A Systematic Review of Security, Privacy, and Data Integrity

Authors

  • Prof. Jonathan Patel Author

Abstract

Blockchain technology has gained attention as a solution to security and privacy concerns in healthcare. This review examines the application of blockchain in electronic health records (EHR), drug supply chain management, and clinical research. The paper highlights the advantages of blockchain, including decentralized data storage, immutability, and enhanced security against cyber threats. Additionally, the challenges of scalability, interoperability, and regulatory acceptance are discussed. The review concludes with recommendations for overcoming these challenges to achieve widespread adoption of blockchain in healthcare.

References

Krutthika, H., & Rajashekara, K. (2019). Network on chip: A survey on router design and algorithms. Int. J. Recent Technol. Eng., 7(6), 1687-1691.

Krutthika, H. K. (2019, October). Modeling of Data Delivery Modes of Next Generation SOC-NOC Router. In 2019 Global Conference for Advancement in Technology (GCAT) (pp. 1-6). IEEE.

Pavitha, U. S., Nikhila, S., & Krutthika, H. K. (2012). Design and implementation of image dithering engine on a spartan 3AN FPGA. International Journal of Future Computer and Communication, 1(4), 361.

Nikhila, S., Pavitha, U. S., & Krutthika, H. K. (2014). Face recognition using wavelet transforms. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 3(1), 6740-6746.

Krishnappa, K. H., & Gowda, N. V. N. (2023, August). Dictionary-Based PLS Approach to Pharmacokinetic Mapping in DCE-MRI Using Tofts Model. In International Conference on ICT for Sustainable Development (pp. 219-226). Singapore: Springer Nature Singapore.

Shashidhar, R., Balivada, D., Shalini, D. N., Krishnappa, K. H., & Roopa, M. (2023, November). Music Emotion Recognition using Convolutional Neural Networks for Regional Languages. In 2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE) (pp. 1-7). IEEE.

Nair, T. R., & Krutthika, H. K. (2010). An Architectural Approach for Decoding and Distributing Functions in FPUs in a Functional Processor System. arXiv preprint arXiv:1001.3781.

Shashidhar, R., Aprameya, C. V., Bharadwaj, R. R., Gontamar, S. M., & Krishnappa, K. H. (2023, November). Seismic Signal Processing and Aftershock Analysis using Machine Learning. In 2023 International Conference on Recent Advances in Science and Engineering Technology (ICRASET) (pp. 1-9). IEEE.

Krishnappa, K. H., Shashidhar, R., Shashank, M. P., & Roopa, M. (2023, November). Detecting Parkinson's Disease with Prediction: A Novel SVM Approach. In 2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE) (pp. 1-7). IEEE.

Shashidhar, R., Kadakol, P., Sreeniketh, D., Patil, P., Krishnappa, K. H., & Madhura, R. (2023, November). EEG Data Analysis for Stress Detection using K-Nearest Neighbor. In 2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS) (pp. 1-7). IEEE.

Ajay, S., Satya Sai Krishna Mohan G, Rao, S. S., Shaunak, S. B., Krutthika, H. K., Ananda, Y. R., & Jose, J. (2018). Source Hotspot Management in a Mesh Network on Chip. In VDAT (pp. 619-630).

Harinandan, R., Kumar, M., Vamshi, P., Padma, C. R., Krishnappa, K. H., & Raghunandan, J. R. (2024, August). Design and Development of a Real-time Monitoring System for ACL Injury Prevention. In 2024 2nd International Conference on Networking, Embedded and Wireless Systems (ICNEWS) (pp. 1-6). IEEE.

Madhura, R., Krishnappa, K. H., Shashidhar, R., Shwetha, G., Yashaswini, K. P., & Sandya, G. R. (2023, December). UVM Methodology for ARINC 429 Transceiver in Loop Back Mode. In 2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC) (pp. 1-7). IEEE.

KRISHNAPPA, K. H., & Trivedi, S. K. (2023). Efficient and Accurate Estimation of Pharmacokinetic Maps from DCE-MRI using Extended Tofts Model in Frequency Domain.

Shashidhar, R., Aditya, V., Srihari, N., Subhash, M. H., & Krishnappa, K. H. (2023, November). Empowering Investors: Insights from Sentiment Analysis, FFT, and Regression in Indian Stock Markets. In 2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE) (pp. 01-06). IEEE.

Madhura, R., Krishnappa, K. H., Manasa, R., & Yashaswini, K. P. (2023, August). Slack Time Analysis for APB Timer Using Genus Synthesis Tool. In International Conference on ICT for Sustainable Development (pp. 207-217). Singapore: Springer Nature Singapore.

KRUTTHIKA, H. IMPLEMENTATION AND ANALYSIS OF CONGESTION PREVENTION AND FAULT TOLERANCE IN NETWORK ON CHIP.

Krutthika, H. K., & Aswatha, A. R. FPGA BASED DESIGN AND ARCHITECTURE OF NETWORK-ON-CHIP ROUTER FOR EFFICIENT DATA PROPAGATION.

Published

2024-10-13

Issue

Section

Articles

How to Cite

Patel , P. J. (2024). Blockchain in Healthcare: A Systematic Review of Security, Privacy, and Data Integrity. AI Applications in Healthcare, 6(6). https://journalpublication.wrcouncil.org/index.php/AIH/article/view/142