Name
Abstract | ||
|---|---|---|
Protecting the integrity of medical records is critical to patients, medical professionals, governments, insurance companies, and hospital systems. Integrity of medical records is protecting medical data against accidental or fraudulent changes. Owing to the onset of electronic medical records in physician offices and health-care facilities, increasingly mandated or incentivized by federal Acts in the USA, ensuring integrity of records in an electronic environment has become far more important than in the days of paper-based records. In this research, we propose an innovative Merkle tree-based approach to protecting the integrity of medical records and describe its implementation. The software architecture closely mimics Blockchain technology and is designed to be deployed in a private network setting. The salient features of our approach include simplification of the Blockchain technology by avoiding the use of mining, and as a replacement of traditional audit-trails by its cryptographically secure counterpart. This paper discusses in detail the design and implementation of the application and a prototype testing on a subset of MIMIC-III database, which comprises de-identified medical records of 40,000 critical-care patients. Experimental results show that Merkle-tree based approach to storing medical records is very robust, protects against various kinds of changes (intentional or accidental) and has little overhead when compared with other approaches to ensuring integrity. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/UEMCON.2018.8796607 | 2018 9TH IEEE ANNUAL UBIQUITOUS COMPUTING, ELECTRONICS & MOBILE COMMUNICATION CONFERENCE (UEMCON) |
Keywords | Field | DocType |
Blockchain, Merkle-tree, electronic medical records, MIMIC-III, database, document integrity | Computer security,Computer science,Merkle tree,Medical record,Blockchain,Software architecture,Multimedia,Private network | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Brihat Sharma | 1 | 0 | 1.01 |
| Chandra N. Sekharan | 2 | 105 | 12.77 |
| Fanyu Zuo | 3 | 0 | 0.34 |