A Robust Blockchain Framework for Healthcare Information System
D. Dharani1, K. Anitha Kumari2, S. Aishwarya3, G. M. Sangavi4, N. Lavanya5
1D. Dharani*, Information Technology, PSG College of Technology, Coimbatore, India.
2K. Anitha Kumari, Information Technology, PSG College of Technology, Coimbatore, India.
3S. Aishwarya, Information Technology, PSG College of Technology, Coimbatore, India.
4G. M. Sangavi, Information Technology, PSG College of Technology, Coimbatore, India.
5N. Lavanya, Information Technology, PSG College of Technology, Coimbatore, India.
Manuscript received on June 01, 2020. | Revised Manuscript received on June 08, 2020. | Manuscript published on June 30, 2020. | PP: 1149-1154 | Volume-9 Issue-5, June 2020. | Retrieval Number: E9944069520/2020©BEIESP | DOI: 10.35940/ijeat.E9944.069520
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Nearly every organization needs solution to handle sensitive data. Though there are different systems to store and transmit electronic records, users often deal with missing or tampered information when they distribute it in a public network. When the data is distributed, the traceability and governance of it throughout the globe is impractical. The evolving world of Data Security demands healthcare industry to have an infrastructure in place to deal with patient records. Regardless of the nature of present and future security risks, Blockchain Technology will play a vital role to maintain the originality of the digital data. Blockchain stores data in a decentralized, distributed ledger for achieving immutability and transparency. The system analyses a case study which aims at maintaining Healthcare records in Blockchain ledger to facilitate secure storage of the patient’s details. For efficient prediction of diabetes the Blockchain and machine learning algorithms are integrated. The various other applications of combining Blockchain technology with machine learning algorithms are Smart city applications, Forensic information storage systems, Energy data management systems, banking and finance management systems.
Keywords: Blockchain, Healthcare records, Diabetes prediction, Machine learning.