| Title |
Healthcare Blockchain System Using Smart Contracts for Secure Automated Remote Patient Monitoring
|
|---|---|
| Published in |
Journal of Medical Systems, June 2018
|
| DOI | 10.1007/s10916-018-0982-x |
| Pubmed ID | |
| Authors |
Kristen N. Griggs, Olya Ossipova, Christopher P. Kohlios, Alessandro N. Baccarini, Emily A. Howson, Thaier Hayajneh |
| Abstract |
As Internet of Things (IoT) devices and other remote patient monitoring systems increase in popularity, security concerns about the transfer and logging of data transactions arise. In order to handle the protected health information (PHI) generated by these devices, we propose utilizing blockchain-based smart contracts to facilitate secure analysis and management of medical sensors. Using a private blockchain based on the Ethereum protocol, we created a system where the sensors communicate with a smart device that calls smart contracts and writes records of all events on the blockchain. This smart contract system would support real-time patient monitoring and medical interventions by sending notifications to patients and medical professionals, while also maintaining a secure record of who has initiated these activities. This would resolve many security vulnerabilities associated with remote patient monitoring and automate the delivery of notifications to all involved parties in a HIPAA compliant manner. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 789 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 789 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 124 | 16% |
| Student > Ph. D. Student | 88 | 11% |
| Student > Bachelor | 64 | 8% |
| Researcher | 52 | 7% |
| Lecturer | 32 | 4% |
| Other | 114 | 14% |
| Unknown | 315 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 241 | 31% |
| Engineering | 71 | 9% |
| Business, Management and Accounting | 36 | 5% |
| Nursing and Health Professions | 16 | 2% |
| Medicine and Dentistry | 14 | 2% |
| Other | 72 | 9% |
| Unknown | 339 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 05 September 2023.
All research outputs
#2,632,733
of 23,372,207 outputs
Outputs from Journal of Medical Systems
#61
of 1,182 outputs
Outputs of similar age
#55,441
of 330,224 outputs
Outputs of similar age from Journal of Medical Systems
#1
of 38 outputs
Altmetric has tracked 23,372,207 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,182 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 94% 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 330,224 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 83% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.