| Title |
Opportunities for Use of Blockchain Technology in Medicine
|
|---|---|
| Published in |
Applied Health Economics and Health Policy, July 2018
|
| DOI | 10.1007/s40258-018-0412-8 |
| Pubmed ID | |
| Authors |
Igor Radanović, Robert Likić |
| Abstract |
Blockchain technology is a decentralized database that stores a registry of assets and transactions across a peer-to-peer computer network, which is secured through cryptography, and over time, its history gets locked in blocks of data that are cryptographically linked together and secured. So far, there have been use cases of this technology for cryptocurrencies, digital contracts, financial and public records, and property ownership. It is expected that future uses will expand into medicine, science, education, intellectual property, and supply chain management. Likely applications in the field of medicine could include electronic health records, health insurance, biomedical research, drug supply and procurement processes, and medical education. Utilization of blockchain is not without its weaknesses and currently, this technology is extremely immature and lacks public or even expert knowledge, making it hard to have a clear strategic vision of its true future potential. Presently, there are issues with scalability, security of smart contracts, and user adoption. Nevertheless, with capital investments into blockchain technology projected to reach US$400 million in 2019, health professionals and decision makers should be aware of the transformative potential that blockchain technology offers for healthcare organizations and medical practice. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| South Africa | 1 | 11% |
| United Kingdom | 1 | 11% |
| Netherlands | 1 | 11% |
| New Zealand | 1 | 11% |
| United States | 1 | 11% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Scientists | 3 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 606 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 606 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 102 | 17% |
| Student > Ph. D. Student | 72 | 12% |
| Student > Bachelor | 47 | 8% |
| Researcher | 35 | 6% |
| Student > Doctoral Student | 31 | 5% |
| Other | 99 | 16% |
| Unknown | 220 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 96 | 16% |
| Business, Management and Accounting | 87 | 14% |
| Engineering | 49 | 8% |
| Economics, Econometrics and Finance | 26 | 4% |
| Social Sciences | 21 | 3% |
| Other | 77 | 13% |
| Unknown | 250 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 10 December 2020.
All research outputs
#3,784,228
of 23,096,849 outputs
Outputs from Applied Health Economics and Health Policy
#165
of 786 outputs
Outputs of similar age
#73,384
of 329,171 outputs
Outputs of similar age from Applied Health Economics and Health Policy
#12
of 33 outputs
Altmetric has tracked 23,096,849 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 786 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has done well, scoring higher than 79% 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 329,171 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% 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 gotten more attention than average, scoring higher than 63% of its contemporaries.