| Title |
MedBlock: Efficient and Secure Medical Data Sharing Via Blockchain
|
|---|---|
| Published in |
Journal of Medical Systems, June 2018
|
| DOI | 10.1007/s10916-018-0993-7 |
| Pubmed ID | |
| Authors |
Kai Fan, Shangyang Wang, Yanhui Ren, Hui Li, Yintang Yang |
| Abstract |
With the development of electronic information technology, electronic medical records (EMRs) have been a common way to store the patients' data in hospitals. They are stored in different hospitals' databases, even for the same patient. Therefore, it is difficult to construct a summarized EMR for one patient from multiple hospital databases due to the security and privacy concerns. Meanwhile, current EMRs systems lack a standard data management and sharing policy, making it difficult for pharmaceutical scientists to develop precise medicines based on data obtained under different policies. To solve the above problems, we proposed a blockchain-based information management system, MedBlock, to handle patients' information. In this scheme, the distributed ledger of MedBlock allows the efficient EMRs access and EMRs retrieval. The improved consensus mechanism achieves consensus of EMRs without large energy consumption and network congestion. In addition, MedBlock also exhibits high information security combining the customized access control protocols and symmetric cryptography. MedBlock can play an important role in the sensitive medical information sharing. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Nepal | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 461 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 461 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 70 | 15% |
| Student > Ph. D. Student | 57 | 12% |
| Researcher | 39 | 8% |
| Student > Bachelor | 28 | 6% |
| Student > Doctoral Student | 21 | 5% |
| Other | 71 | 15% |
| Unknown | 175 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 149 | 32% |
| Engineering | 32 | 7% |
| Business, Management and Accounting | 24 | 5% |
| Social Sciences | 9 | 2% |
| Medicine and Dentistry | 9 | 2% |
| Other | 43 | 9% |
| Unknown | 195 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 December 2022.
All research outputs
#6,615,081
of 23,392,375 outputs
Outputs from Journal of Medical Systems
#229
of 1,183 outputs
Outputs of similar age
#114,371
of 328,972 outputs
Outputs of similar age from Journal of Medical Systems
#6
of 33 outputs
Altmetric has tracked 23,392,375 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,183 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 78% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 328,972 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.