Articles Open Access
Blockchain-Powered Electronic Health Record Management and Secure Medical Data Sharing Systems
Senior Product Manager, BrainBox AI, Greater Philadelphia, United States
Abstract
The management and sharing of Electronic Health Records (EHRs) have become critical challenges in modern healthcare systems due to increasing data volume, interoperability issues, and security concerns. Traditional centralized healthcare databases are vulnerable to cyberattacks, unauthorized access, and data manipulation, which can compromise patient privacy and trust. Blockchain technology offers a decentralized, immutable, and transparent framework for secure medical data management and sharing. This study explores blockchain-powered Electronic Health Record systems designed to enhance data integrity, security, and interoperability across healthcare providers. The proposed system utilizes blockchain’s distributed ledger technology to ensure that medical records are tamper-proof and accessible only to authorized stakeholders. Smart contracts are employed to automate access control, consent management, and data exchange processes between patients, hospitals, laboratories, and insurance providers. Additionally, integration with cloud computing and cryptographic techniques enhances scalability, privacy, and real-time data accessibility. The research also examines consensus mechanisms, encryption algorithms, and decentralized identity management in healthcare applications. Furthermore, the study discusses challenges such as scalability limitations, regulatory compliance, and integration complexity. The findings indicate that blockchain-based EHR systems significantly improve data security, transparency, and interoperability, making them a promising solution for next-generation healthcare information systems.
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Publication Information
| Journal | International Research Journal of Innovative Engineering |
|---|---|
| Volume | 4 |
| Number | 6 |
| Pages | 7211-7218 |
| Published | 2020-11-05 |
| Issue | Vol. 4 No. 6 (2020): International Research Journal of Innovative Engineering (IRJIE) |
References
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35. Mathew, A. R. (2017). Cloud Technology and the Challenges for Forensics Investigators. DEStech Transactions on Computer Science and Engineering.
36. Begum, R. S., & Sugumar, R. (2015). A Conceptual Comparison of Artificial Bee Colony and Particle Swarm Optimization.
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39. Sugumar, R., Rengarajan, A., & Jayakumar, C. (2018). Trust based authentication technique for cluster based vehicular ad hoc networks (VANET). Wireless Networks, 24(2), 373-382.
40. Sudhan, S. K. H. H., & Kumar, S. S. (2015). An innovative proposal for secure cloud authentication using encrypted biometric authentication scheme. Indian Journal of Science and Technology, 8(35), 1-5.
41. Priya, P. S., & Sugumar, R. (2014). Multi Keyword Searching Techniques over Encrypted Cloud Data. In IJSR.
42. Chiranjeevi, K. G., Latha, R., & Kumar, S. S. (2016). Enlarge Storing Concept in an Efficient Handoff Allocation during Travel by Time Based Algorithm. Indian Journal of Science and Technology, 9, 40.
43. Amutha, M., & Sugumar, R. (2015). A survey on dynamic data replication system in cloud computing. International Journal of Innovative Research in Science, Engineering and Technology, 4(4), 1454-1467.
44. Sugumar, R. (2014). A technique to stock market prediction using fuzzy clustering and artificial neural networks.
45. Brijet, Z., Kumar, B. S., & Bharathi, N. (2017). Vehicle anti-theft system using fingerprint recognition technique. Open Academic Journal of Advanced Science and Technology, 1(1), 36-41.
46. Z. Brijet, N. Bharathi, G. Shanmugapriya. (2015). Design of Model Predictive Controller for Fluid Catalytic Cracking Unit. Fluid-IJCTA, 8(5), 1917-1926.
2. Zhang, P., White, J., Schmidt, D. C., Lenz, G., & Rosenbloom, S. T. (2016). FHIRChain: Applying blockchain to secure medical data sharing. ONC Blockchain Challenge Report.
3. Xia, Q., Sifah, E. B., Asamoah, K. O., Gao, J., Du, X., & Guizani, M. (2017). MeDShare: Trust-less medical data sharing among cloud service providers. IEEE Access.
4. Liang, X., Zhao, J., Shetty, S., Liu, J., & Li, D. (2017). Integrating blockchain for secure healthcare data sharing systems. IEEE International Conference on Smart Computing.
5. Yue, X., Wang, H., Jin, D., Li, M., & Jiang, W. (2016). Healthcare data gateways: Blockchain-based secure system. IEEE International Conference on Cloud Computing.
6. Fan, K., Wang, S., Ren, Y., et al. (2018). Blockchain-based medical data sharing system. Future Generation Computer Systems.
7. Dubovitskaya, A., Xu, Z., Ryu, S., Schumacher, M., & Wang, F. (2017). Secure and transparent electronic health records using blockchain. AMIA Annual Symposium.
8. Zhang, R., Xue, R., & Liu, L. (2018). Security and privacy in blockchain-based healthcare systems. IEEE Communications Magazine.
9. Zhang, Y., Kasahara, S., Shen, Y., et al. (2018). Smart contract-based healthcare data management. IEEE Access.
10. Liang, X., Shetty, S., Tosh, D., et al. (2018). Permissioned blockchain for healthcare data sharing. IEEE Conference on Blockchain.
11. Ekblaw, A., Azaria, A., Halamka, J., & Lippman, A. (2017). A case study for blockchain in healthcare. IEEE Healthcom.
12. Patel, V. (2016). A framework for secure healthcare data sharing. Journal of Medical Systems.
13. Jiang, S., Cao, J., Wu, H., et al. (2018). Blockchain for secure e-health systems. IEEE Network.
14. Hussien, H. M., Yasin, S. M., Udzir, N. I., et al. (2019). Blockchain in healthcare applications: Survey. IEEE Access.
15. Zhang, J., Xue, N., & Huang, X. (2018). Blockchain-based secure EHR system. Future Internet.
16. Azaria, A., Ekblaw, A., & Lippman, A. (2017). MedRec system architecture. MIT Media Lab Report.
17. Kuo, T. T., Kim, H. E., & Ohno-Machado, L. (2017). Blockchain distributed ledger technologies for biomedical applications. Journal of the American Medical Informatics Association.
18. Yang, G., Li, C., & Wang, Y. (2019). Security challenges in blockchain healthcare systems. IEEE Access.
19. Guo, R., Shi, H., Zhao, Q., & Zheng, D. (2018). Secure blockchain framework for healthcare data. IEEE Cloud Computing.
20. Zhang, X., & Lin, X. (2018). Privacy-preserving healthcare data sharing using blockchain. IEEE Transactions on Information Forensics and Security.
21. Mathew, A., & Asari, V. K. (2014, March). Rotation-invariant histogram features for threat object detection on pipeline right-of-way. In Video Surveillance and Transportation Imaging Applications 2014 (Vol. 9026, pp. 19-26). SPIE.
22. Sugumar, R., Rengarajan, A., & Jayakumar, C. (2015). Design a Weight Based Sorting Distortion Algorithm for Privacy Preserving Data Mining. Middle-East Journal of Scientific Research, 23(3), 405-412.
23. Karthika, V., Brijet, Z., & Bharathi, N. (2012). Design of optimal controller for fluid catalytic cracking unit. Procedia Engineering, 38, 1150-1160.
24. Amutha, M., & Sugumar, R. (2015). A survey on dynamic data replication system in cloud computing. International Journal of Innovative Research in Science, Engineering and Technology, 4(4), 1454-1467.
25. Sugumar, R. B., & Anandharaj, K. (2016). Assessment of Bacterial Load in the Fresh Water Lake System of Tamil Nadu. Interl J Curr Microbiol App Sci, 5(6), 236-246.
26. Rengarajan, R. S. A. (2016). Secure verification technique for defending IP spoofing attacks.
27. Mathew, A. R., & Al Hajj, A. (2017). Secure communications on IoT and big data. Indian Journal of Science and Technology, 10(11).
28. Alex, A. T., Asari, V. K., & Mathew, A. (2012, October). Gradient feature matching for expression invariant face recognition using single reference image. In 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 851-856). IEEE.
29. Sasidevi, J., Sugumar, R., & Priya, P. S. (2015). New-Multi-Phase Distribution Network Intrusion Detection. International Journal, 5(3).
30. Mathew, A., & Asari, V. K. (2013, March). Tracking small targets in wide area motion imagery data. In Video Surveillance and Transportation Imaging Applications (Vol. 8663, pp. 69-78). SPIE.
31. Sudhan, S. K. H. H., & Kumar, S. S. (2016). Gallant Use of Cloud by a Novel Framework of Encrypted Biometric Authentication and Multi Level Data Protection. Indian Journal of Science and Technology, 9, 44.
32. Alex, A. T., Asari, V. K., & Mathew, A. (2013, March). Gradient feature matching for in-plane rotation invariant face sketch recognition. In Image Processing: Machine Vision Applications VI (Vol. 8661, pp. 46-58). SPIE.
33. Natarajan, R., & Sugumar, R. (2014). A survey on attacks in web usage mining. International Journal of Innovative Research in Computer and Communication Engineering, 2(5), 4470-5.
34. Satyanarayana, D., Mathew, A. R., & Sathyashree, S. (2016). An Architecture for Wireless Communication Systems using Li-Fi technology. In 8th International Conference on Latest Trends in Engineering and Technology (ICLTET’2016) (pp. 37-41).
35. Mathew, A. R. (2017). Cloud Technology and the Challenges for Forensics Investigators. DEStech Transactions on Computer Science and Engineering.
36. Begum, R. S., & Sugumar, R. (2015). A Conceptual Comparison of Artificial Bee Colony and Particle Swarm Optimization.
37. Soundappan, S. J., & Sugumar, R. (2016). Optimal knowledge extraction technique based on hybridisation of improved artificial bee colony algorithm and cuckoo search algorithm. International Journal of Business Intelligence and Data Mining, 11(4), 338-356.
38. Singh, T. J., & Sugumar, R. (2012, December). An extensibility of THEMIS billing system for the cloud computing environment. In 2012 Fourth International Conference on Advanced Computing (ICoAC) (pp. 1-6). IEEE.
39. Sugumar, R., Rengarajan, A., & Jayakumar, C. (2018). Trust based authentication technique for cluster based vehicular ad hoc networks (VANET). Wireless Networks, 24(2), 373-382.
40. Sudhan, S. K. H. H., & Kumar, S. S. (2015). An innovative proposal for secure cloud authentication using encrypted biometric authentication scheme. Indian Journal of Science and Technology, 8(35), 1-5.
41. Priya, P. S., & Sugumar, R. (2014). Multi Keyword Searching Techniques over Encrypted Cloud Data. In IJSR.
42. Chiranjeevi, K. G., Latha, R., & Kumar, S. S. (2016). Enlarge Storing Concept in an Efficient Handoff Allocation during Travel by Time Based Algorithm. Indian Journal of Science and Technology, 9, 40.
43. Amutha, M., & Sugumar, R. (2015). A survey on dynamic data replication system in cloud computing. International Journal of Innovative Research in Science, Engineering and Technology, 4(4), 1454-1467.
44. Sugumar, R. (2014). A technique to stock market prediction using fuzzy clustering and artificial neural networks.
45. Brijet, Z., Kumar, B. S., & Bharathi, N. (2017). Vehicle anti-theft system using fingerprint recognition technique. Open Academic Journal of Advanced Science and Technology, 1(1), 36-41.
46. Z. Brijet, N. Bharathi, G. Shanmugapriya. (2015). Design of Model Predictive Controller for Fluid Catalytic Cracking Unit. Fluid-IJCTA, 8(5), 1917-1926.
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